IDEAS home Printed from https://ideas.repec.org/e/c/pzh164.html
   My authors  Follow this author

Peng Zhou

Not to be confused with: Peng Zhou

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Wu, F. & Wang, S.Y. & Zhou, P., 2023. "Marginal abatement cost of carbon dioxide emissions: The role of abatement options," European Journal of Operational Research, Elsevier, vol. 310(2), pages 891-901.

    Cited by:

    1. Lingke Wu & Dehong Liu & Tiantian Lin, 2023. "The Impact of Climate Change on Financial Stability," Sustainability, MDPI, vol. 15(15), pages 1-18, July.

  2. Li, Chengyu & Wang, Qunwei & Zhou, Peng, 2023. "Does the “resource curse” have a spatial spillover effect? Evidence from China," Resources Policy, Elsevier, vol. 81(C).

    Cited by:

    1. Li, Yibo & Jia, Xiaofen, 2023. "Asymmetric role of natural resources in uplifting the economic status of resource-rich economies," Resources Policy, Elsevier, vol. 85(PB).

  3. Zhang, Hongyan & Gao, Shuaizhi & Zhou, Peng, 2023. "Role of digitalization in energy storage technological innovation: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).

    Cited by:

    1. Yan, Zheming & Sun, Zao & Shi, Rui & Zhao, Minjuan, 2023. "Smart city and green development: Empirical evidence from the perspective of green technological innovation," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    2. Gao, Shuaizhi & Zhou, Peng & Zhang, Hongyan, 2023. "Does energy transition help narrow the urban-rural income gap? Evidence from China," Energy Policy, Elsevier, vol. 182(C).
    3. Huang, Yuhong & Gao, Yajia, 2023. "Labor protection and the digital transformation of enterprises: Empirical evidence from China's social insurance law," Finance Research Letters, Elsevier, vol. 57(C).
    4. Karlilar, Selin & Balcilar, Mehmet & Emir, Firat, 2023. "Environmental sustainability in the OECD: The power of digitalization, green innovation, renewable energy and financial development," Telecommunications Policy, Elsevier, vol. 47(6).
    5. Maurizio Sibilla & Esra Kurul, 2023. "Towards Social Understanding of Energy Storage Systems—A Perspective," Energies, MDPI, vol. 16(19), pages 1-11, September.
    6. Liu, Tianhao & Tian, Jun & Zhu, Hongyu & Goh, Hui Hwang & Liu, Hui & Wu, Thomas & Zhang, Dongdong, 2023. "Key technologies and developments of multi-energy system: Three-layer framework, modelling and optimisation," Energy, Elsevier, vol. 277(C).

  4. Zhao, Ge & Zhou, P. & Wen, Wen, 2022. "What cause regional inequality of technology innovation in renewable energy? Evidence from China," Applied Energy, Elsevier, vol. 310(C).

    Cited by:

    1. Limei Ma & Qianying Wang & Dan Shi & Qinglong Shao, 2023. "Spatiotemporal patterns and determinants of renewable energy innovation: Evidence from a province-level analysis in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    2. Razzaq, Asif & Sharif, Arshian & Ozturk, Ilhan & Skare, Marinko, 2023. "Asymmetric influence of digital finance, and renewable energy technology innovation on green growth in China," Renewable Energy, Elsevier, vol. 202(C), pages 310-319.
    3. Zhiwei Wang & Hui Sun & Chenxin Ding & Long Xin & Xuechao Xia & Yuanyuan Gong, 2023. "Do Technology Alliance Network Characteristics Promote Ambidextrous Green Innovation? A Perspective from Internal and External Pressures of Firms in China," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    4. Feng, Chen-Yu & Yang, Xiaodong & Afshan, Sahar & Irfan, Muhamamd, 2023. "Can renewable energy technology innovation promote mineral resources’ green utilization efficiency? Novel insights from regional development inequality," Resources Policy, Elsevier, vol. 82(C).
    5. Qin, Yong & Xu, Zeshui & Wang, Xinxin & Škare, Marinko, 2023. "The effects of financial institutions on the green energy transition: A cross-sectional panel study," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 524-542.
    6. Zhang, Dan & Zheng, Mingbo & Feng, Gen-Fu & Chang, Chun-Ping, 2022. "Does an environmental policy bring to green innovation in renewable energy?," Renewable Energy, Elsevier, vol. 195(C), pages 1113-1124.

  5. Sun, J. & Wen, W. & Wang, M. & Zhou, P., 2022. "Optimizing the provincial target allocation scheme of renewable portfolio standards in China," Energy, Elsevier, vol. 250(C).

    Cited by:

    1. Zhao, Jiqiang & Wu, Xianhua & Guo, Ji & Gao, Chao, 2022. "Allocation of SO2 emission rights in city agglomerations considering cross-border transmission of pollutants: A new network DEA model," Applied Energy, Elsevier, vol. 325(C).

  6. Yang, Yafei & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2022. "Patterns and determinants of carbon emission flows along the Belt and Road from 2005 to 2030," Ecological Economics, Elsevier, vol. 192(C).

    Cited by:

    1. Wu, Qingyang & Chang, Siqi & Bai, Caiquan & Wei, Wendong, 2023. "How do zombie enterprises hinder climate change action plans in China?," Energy Economics, Elsevier, vol. 124(C).
    2. Mingming Zhu & Jigan Wang & Jie Zhang & Zhencheng Xing, 2022. "Urban Low-Carbon Consumption Performance Assessment: A Case Study of Yangtze River Delta Cities, China," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    3. Wang, Mengjiao & Liu, Jianxu & Rahman, Sanzidur & Sun, Xiaoqi & Sriboonchitta, Songsak, 2023. "The effect of China’s outward foreign direct investment on carbon intensity of Belt and Road Initiative countries: A double-edged sword," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 792-808.
    4. Xinsheng Zhou & Qinyang Guo & Yuanyuan Wang & Guofeng Wang, 2022. "Trade and Embodied CO 2 Emissions: Analysis from a Global Input–Output Perspective," IJERPH, MDPI, vol. 19(21), pages 1-18, November.
    5. Guo, Yaoqi & Zhao, Boya & Zhang, Hongwei, 2023. "The impact of the Belt and Road Initiative on the natural gas trade: A network structure dependence perspective," Energy, Elsevier, vol. 263(PD).

  7. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).

    Cited by:

    1. Yin, Zi Hui & Zeng, Wei Ping, 2023. "The effects of industrial intelligence on China's energy intensity: The role of technology absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    2. Xiaolei Liu & Heng Chen & Cheng Peng & Mingqiu Li, 2022. "Assessing the Drivers of Carbon Intensity Change in China: A Dynamic Spatial–Temporal Production-Theoretical Decomposition Analysis Approach," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    3. Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).
    4. Li, Yaya & Cobbinah, Joana & Abban, Olivier Joseph & Veglianti, Eleonora, 2023. "Does green manufacturing technology innovation decrease energy intensity for sustainable development?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1010-1025.
    5. Liu, Qilu & Cheng, Kaiming & Zhuang, Yanjie, 2022. "Estimation of city energy consumption in China based on downscaling energy balance tables," Energy, Elsevier, vol. 256(C).
    6. Yating Zeng & Xinyue Xu & Yuyao Zhao & Bin Li, 2023. "Impact of Digital Economy on the Upgrading of Energy Consumption Structure: Evidence from Mainland China," Sustainability, MDPI, vol. 15(7), pages 1-18, March.
    7. Zhou, Di & Hu, Yanning & Xie, Dongchun & Sun, Qiong, 2023. "Land resource mismatch and energy efficiency: Evidence from 243 cities in China," Energy Policy, Elsevier, vol. 183(C).

  8. Wang, M. & Zhou, P., 2022. "A two-step auction-refund allocation rule of CO2 emission permits," Energy Economics, Elsevier, vol. 113(C).

    Cited by:

    1. Xinwei Zhao & Xinsong Yang & Geng Peng & Shengjie Yue, 2023. "International Trade and Carbon Emissions: Evaluating the Role of Trade Rule Uncertainty," Sustainability, MDPI, vol. 15(15), pages 1-19, July.

  9. Sun, Jie & Zhou, P. & Wen, Wen, 2022. "Assessing the regional adaptive capacity to renewable portfolio standard policy in China," Energy Policy, Elsevier, vol. 162(C).

    Cited by:

    1. Wang, Yongpei & Yan, Qing & Luo, Yifei & Zhang, Qian, 2023. "Carbon abatement of electricity sector with renewable energy deployment: Evidence from China," Renewable Energy, Elsevier, vol. 210(C), pages 1-11.

  10. Qiu, Y.Q. & Tsan Sheng Ng, Adam & Zhou, P., 2022. "Optimizing urban electric vehicle incentive policy mixes in China: Perspective of residential preference heterogeneity," Applied Energy, Elsevier, vol. 313(C).

    Cited by:

    1. Li, Ze & Guo, Junfei & Gao, Xinyu & Yang, Xiaohu & He, Ya-Ling, 2023. "A multi-strategy improved sparrow search algorithm of large-scale refrigeration system: Optimal loading distribution of chillers," Applied Energy, Elsevier, vol. 349(C).
    2. Zhang, Qi & Liu, Jiangfeng & Yang, Kexin & Liu, Boyu & Wang, Ge, 2022. "Market adoption simulation of electric vehicle based on social network model considering nudge policies," Energy, Elsevier, vol. 259(C).

  11. Wang, Wenya & Fan, L.W. & Zhou, P., 2022. "Evolution of global fossil fuel trade dependencies," Energy, Elsevier, vol. 238(PC).

    Cited by:

    1. Lin, Pengmusen & Yu, Xinyu & Wang, Han & Ming, Hui & Ge, Shengbo & Liu, Fang & Peng, Haowei & Sonne, Christian & Zhang, Libo, 2023. "Life cycle assessment of bio-oil prepared from low-temperature hydrothermal oxide-catalyzed cotton stalk," Energy, Elsevier, vol. 282(C).
    2. Li, Zhengbing & Liang, Yongtu & Ni, Weilong & Liao, Qi & Xu, Ning & Li, Lichao & Zheng, Jianqin & Zhang, Haoran, 2022. "Pipesharing: economic-environmental benefits from transporting biofuels through multiproduct pipelines," Applied Energy, Elsevier, vol. 311(C).
    3. Xu-guang, Zuo & Xue-hong, Zhu & Jin-yu, Chen, 2022. "Trade dependence network structure of tantalum trade goods and its effect on trade prices: An industry chain perspective," Resources Policy, Elsevier, vol. 79(C).
    4. Wang, Shunli & Wu, Fan & Takyi-Aninakwa, Paul & Fernandez, Carlos & Stroe, Daniel-Ioan & Huang, Qi, 2023. "Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-curren," Energy, Elsevier, vol. 284(C).
    5. Sheng Zhang & Yifu Yang & Chengdi Ding & Zhongquan Miao, 2023. "The Impact of International Relations Patterns on China’s Energy Security Supply, Demand, and Sustainable Development: An Exploration of Oil Demand and Sustainability Goals," Sustainability, MDPI, vol. 15(17), pages 1-12, August.
    6. Yang, Weixin & Pan, Lingying & Ding, Qinyi, 2023. "Dynamic analysis of natural gas substitution for crude oil: Scenario simulation and quantitative evaluation," Energy, Elsevier, vol. 282(C).
    7. Xia, Quanzhi & Han, Mengyao & Guan, Shihui & Wu, Xiaofang & Zhang, Bo, 2022. "Tracking embodied energy flows of China's megacities via multi-scale supply chains," Energy, Elsevier, vol. 260(C).
    8. Katebah, Mary A. & Hussein, Mohamed M. & Al-musleh, Easa I. & Almomani, Fares, 2023. "A systematic optimization approach of an actual LNG plant: Power savings and enhanced process economy," Energy, Elsevier, vol. 269(C).
    9. Zuo, Zhili & McLellan, Benjamin Craig & Li, Yonglin & Guo, Haixiang & Cheng, Jinhua, 2022. "Evolution and insights into the network and pattern of the rare earths trade from an industry chain perspective," Resources Policy, Elsevier, vol. 78(C).
    10. Yu, Xiaofan & Wang, Jin, 2023. "Enhancing sustainable trade of mineral resources between China and African Great Lakes economies: Recommendations for action," Resources Policy, Elsevier, vol. 85(PB).
    11. Jia, Weidong & Gong, Chengzhu & Pan, Kai & Yu, Shiwei, 2023. "Potential changes of regional natural gas market in China amidst liberalization: A mixed complementarity equilibrium simulation in 2030," Energy, Elsevier, vol. 284(C).
    12. Li, Wei & Ling, Xiang, 2023. "Performance analysis of a sorption heat storage-photocatalytic combined passive solar envelope for space heating and air purification," Energy, Elsevier, vol. 280(C).
    13. Yalong Li & Baofeng Zhao & Haibin Guan & Suxiang Liu & Di Zhu & Angang Song & Huan Li & Laizhi Sun, 2023. "Hydrogen Production from Catalytic Pyrolysis of Phenol as Tar Model Compound in Magnetic Field," Energies, MDPI, vol. 16(10), pages 1-14, May.
    14. Yuping Jin & Yanbin Yang & Wei Liu, 2022. "Finding Global Liquefied Natural Gas Potential Trade Relations Based on Improved Link Prediction," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    15. Ding, Yueting & Chen, Sai & Zheng, Yilei & Chai, Shanglei & Nie, Rui, 2022. "Resilience assessment of China's natural gas system under supply shortages: A system dynamics approach," Energy, Elsevier, vol. 247(C).
    16. Tawalbeh, Muhammad & Mohammed, Shima & Alnaqbi, Aaesha & Alshehhi, Shouq & Al-Othman, Amani, 2023. "Analysis for hybrid photovoltaic/solar chimney seawater desalination plant: A CFD simulation in Sharjah, United Arab Emirates," Renewable Energy, Elsevier, vol. 202(C), pages 667-685.
    17. Tang, Qianyong & Li, Huajiao & Qi, Yajie & Li, Yang & Liu, Haiping & Wang, Xingxing, 2023. "The reliability of the trade dependence network in the tungsten industry chain based on percolation," Resources Policy, Elsevier, vol. 82(C).
    18. Yao, Shun & Li, Tongxin & Li, Ying, 2023. "Promoting sustainable fossil fuels resources in BRICS countries: Evaluating green policies and driving renewable energy development," Resources Policy, Elsevier, vol. 85(PA).
    19. Asmita Ajay Rathod & Balaji Subramanian, 2022. "Scrutiny of Hybrid Renewable Energy Systems for Control, Power Management, Optimization and Sizing: Challenges and Future Possibilities," Sustainability, MDPI, vol. 14(24), pages 1-35, December.
    20. Katrine Soma & Wil Hennen & Siemen van Berkum, 2023. "Can Domestic Food Production Provide Future Urban Populations with Food and Nutrition Security?—Insights from Bangladesh, Kenya and Uganda," Sustainability, MDPI, vol. 15(11), pages 1-23, June.
    21. Guo, Yaoqi & Zhao, Boya & Zhang, Hongwei, 2023. "The impact of the Belt and Road Initiative on the natural gas trade: A network structure dependence perspective," Energy, Elsevier, vol. 263(PD).

  12. Wang, S.Y. & Wu, F. & Zhou, P., 2022. "WITHDRAWN: Identifying the endogenous optimization pathways for improving environmental performance," Energy Economics, Elsevier, vol. 114(C).

    Cited by:

    1. Haiyan Sun & Guangyang Wang & Junwei Bai & Jianfei Shen & Xinyuan Zheng & Erli Dan & Feiyu Chen & Ludan Zhang, 2022. "Corporate Sustainable Development, Corporate Environmental Performance and Cost of Debt," Sustainability, MDPI, vol. 15(1), pages 1-14, December.

  13. Hu, Bo & Zhou, P., 2022. "Can the renewable power consumption guarantee mechanism help activate China's power trading market?," Energy, Elsevier, vol. 253(C).

    Cited by:

    1. Fatras, Nicolas & Ma, Zheng & Duan, Hongbo & Jørgensen, Bo Nørregaard, 2022. "A systematic review of electricity market liberalisation and its alignment with industrial consumer participation: A comparison between the Nordics and China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    2. Liu, Xinglei & Liu, Jun & Ren, Kezheng & Liu, Xiaoming & Liu, Jiacheng, 2022. "An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision," Energy, Elsevier, vol. 261(PB).
    3. Sun, Bo & Fan, Boyang & Zhang, Yifan & Xie, Jingdong, 2023. "Investment decisions and strategies of China's energy storage technology under policy uncertainty: A real options approach," Energy, Elsevier, vol. 278(PA).

  14. Hu, Junfei & Chen, Huanyue & Zhou, Peng & Guo, Peng, 2022. "Optimal subsidy level for waste-to-energy investment considering flexibility and uncertainty," Energy Economics, Elsevier, vol. 108(C).

    Cited by:

    1. Nagy, Roel L.G. & Fleten, Stein-Erik & Sendstad, Lars H., 2023. "Don’t stop me now: Incremental capacity growth under subsidy termination risk," Energy Policy, Elsevier, vol. 172(C).
    2. Caferra, Rocco & D'Adamo, Idiano & Morone, Piergiuseppe, 2023. "Wasting energy or energizing waste? The public acceptance of waste-to-energy technology," Energy, Elsevier, vol. 263(PE).
    3. Yuqun Dong & Yaming Zhuang, 2023. "Research on an Investment Decision Model of Waste Incineration Power under Demand Guarantee Policies," Sustainability, MDPI, vol. 15(15), pages 1-19, July.
    4. Fan, Lurong & Ma, Ning & Zhang, Wen, 2023. "Multi-stakeholder equilibrium-based subsidy allocation mechanism for promoting coalbed methane scale extraction-utilization," Energy, Elsevier, vol. 277(C).

  15. Che, Xiao-Jing & Zhou, P. & Chai, Kah-Hin, 2022. "Regional policy effect on photovoltaic (PV) technology innovation: Findings from 260 cities in China," Energy Policy, Elsevier, vol. 162(C).

    Cited by:

    1. Zhong, Meirui & Lu, Qiaolin & He, Ruifang, 2022. "The heterogeneous effects of industrial policy on technological innovation: Evidence from China's new metal material industry and micro-data," Resources Policy, Elsevier, vol. 79(C).
    2. Mirosława Szewczyk & Anna Szeliga-Duchnowska, 2022. "Make Hay While the Sun Shines: Beneficiaries of Renewable Energy Promotion," Energies, MDPI, vol. 15(9), pages 1-15, May.
    3. Chuanjia Du & Chengjun Wang & Tao Feng, 2023. "The Impact of China’s National Sustainable Development Experimental Zone Policy on Energy Transition," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    4. Yan, Chen & Ji, Yaxing & Chen, Rui, 2023. "Research on the mechanism of selective industrial policies on enterprises' innovation performance ——Evidence from China's photovoltaic industry," Renewable Energy, Elsevier, vol. 215(C).
    5. Zhang, Dan & Zheng, Mingbo & Feng, Gen-Fu & Chang, Chun-Ping, 2022. "Does an environmental policy bring to green innovation in renewable energy?," Renewable Energy, Elsevier, vol. 195(C), pages 1113-1124.
    6. Zhao, Shuliang & Teng, Linjiao & Arkorful, Vincent Ekow & Hu, Hui, 2023. "Impacts of digital government on regional eco-innovation: Moderating role of dual environmental regulations," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    7. Shuping Cheng & Lingjie Meng & Weizhong Wang, 2022. "The Impact of Environmental Regulation on Green Energy Technology Innovation—Evidence from China," Sustainability, MDPI, vol. 14(14), pages 1-23, July.
    8. Weifan Long & Xiaofei Chen & Qingsong Ma & Xindong Wei & Qiao Xi, 2022. "An Evaluation of the PV Integrated Dynamic Overhangs Based on Parametric Performance Design Method: A Case Study of a Student Apartment in China," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    9. Che, Xiao-Jing & Zhou, P. & Wang, M., 2022. "The policy effect on photovoltaic technology innovation with regional heterogeneity in China," Energy Economics, Elsevier, vol. 115(C).

  16. Hu, Bo & Zhou, P. & Zhang, L.P., 2022. "A digital business model for accelerating distributed renewable energy expansion in rural China," Applied Energy, Elsevier, vol. 316(C).

    Cited by:

    1. Tran, Chi Phuong & Pernia, Ronald A. & Nguyen-Thanh, Nhan, 2023. "Mess or match? How do academic perspectives meet the practitioner perspectives in terms of digital transformation?," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

  17. Zhang, Danyang & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2021. "The changing role of global value chains in CO2 emission intensity in 2000–2014," Energy Economics, Elsevier, vol. 93(C).

    Cited by:

    1. Zhao, Jun & Dong, Xiucheng & Dong, Kangyin, 2021. "How does producer services’ agglomeration promote carbon reduction?: The case of China," Economic Modelling, Elsevier, vol. 104(C).
    2. Zhongwen Xu & Liming Yao, 2023. "Reality check and determinants of carbon emission flow in the context of global trade: Indonesia being the centric studied country," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11973-11997, October.
    3. Zheng, Jiali & Feng, Gengzhong & Ren, Zhuanzhuan & Qi, Nengxi & Coffman, D'Maris & Zhou, Yunlai & Wang, Shouyang, 2022. "China's energy consumption and economic activity at the regional level," Energy, Elsevier, vol. 259(C).
    4. Yang, Jun & Hao, Yun & Feng, Chao, 2021. "A race between economic growth and carbon emissions: What play important roles towards global low-carbon development?," Energy Economics, Elsevier, vol. 100(C).
    5. Tang, Yiding & Zhu, Shujin & Luo, Yan & Duan, Wenjing, 2022. "Input servitization, global value chain, and carbon mitigation: An input-output perspective of global manufacturing industry," Economic Modelling, Elsevier, vol. 117(C).
    6. Huan YAN & Xiaojing LI & Shuang MENG, 2023. "Global Value Chain Participation and Sustainable Growth: Evidence from China," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 5-20, June.
    7. Yang, Yafei & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2022. "Patterns and determinants of carbon emission flows along the Belt and Road from 2005 to 2030," Ecological Economics, Elsevier, vol. 192(C).
    8. Essossinam Ali & Hodabalo Bataka & Kwami Ossadzifo Wonyra & Nadège Essossolim Awade & Nèmè Nalèwazou Braly, 2024. "Global value chains participation and environmental pollution in developing countries: Does digitalization matter?," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(1), pages 451-478, January.
    9. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).
    10. Agostino, Mariarosaria & Giunta, Anna & Ruberto, Sabrina & Scalera, Domenico, 2023. "Global value chains and energy-related sustainable practices. Evidence from Enterprise Survey data," Energy Economics, Elsevier, vol. 127(PA).

  18. Zhao, Ge & Zhou, P. & Wen, Wen, 2021. "Feed-in tariffs, knowledge stocks and renewable energy technology innovation: The role of local government intervention," Energy Policy, Elsevier, vol. 156(C).

    Cited by:

    1. Cao, Dongqin & Peng, Can & Yang, Guanglei, 2022. "The pressure of political promotion and renewable energy technological innovation: A spatial econometric analysis from China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    2. Hu, Yi & Jin, Shuchang & Ni, Juan & Peng, Kai & Zhang, Lei, 2023. "Strategic or substantive green innovation: How do non-green firms respond to green credit policy?," Economic Modelling, Elsevier, vol. 126(C).
    3. Ma, Qiang & Tariq, Muhammad & Mahmood, Haider & Khan, Zeeshan, 2022. "The nexus between digital economy and carbon dioxide emissions in China: The moderating role of investments in research and development," Technology in Society, Elsevier, vol. 68(C).
    4. He, Zhengxia & Cao, Changshuai & Kuai, Leyi & Zhou, Yanqing & Wang, Jianming, 2022. "Impact of policies on wind power innovation at different income levels: Regional differences in China based on dynamic panel estimation," Technology in Society, Elsevier, vol. 71(C).
    5. Guo, Wen & Yang, Bo & Ji, Jiong & Liu, Xiaorui, 2023. "Green finance development drives renewable energy development: Mechanism analysis and empirical research," Renewable Energy, Elsevier, vol. 215(C).
    6. Cao, Dongqin & Peng, Can & Yang, Guanglei & Zhang, Wei, 2022. "How does the pressure of political promotion affect renewable energy technological innovation? Evidence from 30 Chinese provinces," Energy, Elsevier, vol. 254(PA).
    7. Zhao‐hui Chong & Jia Liu, 2023. "The evolutionary patterns of intercity co‐invention networks in the Greater Pearl River Delta, China: A comparative analysis based on the technological intensity of industry," Growth and Change, Wiley Blackwell, vol. 54(1), pages 260-283, March.
    8. Yan, Xiang & Bai, Jiancheng & Zhang, Yueyan & Hu, Shiliang, 2022. "Can the ecological environment reverse feed renewable energy technology innovation? -- Heterogeneity test from the Yangtze River Economic Belt," Renewable Energy, Elsevier, vol. 195(C), pages 1381-1392.
    9. Bangjun, Wang & Feng, Zhaolei & Feng, Ji & Yu, Pan & Cui, Linyu, 2022. "Decision making on investments in photovoltaic power generation projects based on renewable portfolio standard: Perspective of real option," Renewable Energy, Elsevier, vol. 189(C), pages 1033-1045.
    10. Grafström, Jonas & Poudineh, Rahmat, 2023. "No evidence of counteracting policy effects on European solar power invention and diffusion," Energy Policy, Elsevier, vol. 172(C).
    11. Wang, Wei & Xiao, Weiwei & Bai, Caiquan, 2022. "Can renewable energy technology innovation alleviate energy poverty? Perspective from the marketization level," Technology in Society, Elsevier, vol. 68(C).
    12. Grafström, Jonas & Poudineh, Rahmat, 2023. "Invention and Diffusion in the Solar Power Sector," Ratio Working Papers 364, The Ratio Institute.
    13. Jiang, Zihao & Liu, Zhiying, 2022. "Policies and exploitative and exploratory innovations of the wind power industry in China: The role of technological path dependence," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    14. George Yunxiong Li & Simona Iammarino, 2024. "Critical Raw Materials and Renewable Energy Transition: The Role of Domestic Supply," Papers in Evolutionary Economic Geography (PEEG) 2403, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2024.
    15. Zhang, Dan & Zheng, Mingbo & Feng, Gen-Fu & Chang, Chun-Ping, 2022. "Does an environmental policy bring to green innovation in renewable energy?," Renewable Energy, Elsevier, vol. 195(C), pages 1113-1124.
    16. Che, Xiao-Jing & Zhou, P. & Chai, Kah-Hin, 2022. "Regional policy effect on photovoltaic (PV) technology innovation: Findings from 260 cities in China," Energy Policy, Elsevier, vol. 162(C).

  19. Wen, W. & Yang, S. & Zhou, P. & Gao, S.Z., 2021. "Impacts of COVID-19 on the electric vehicle industry: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).

    Cited by:

    1. Haiyan Liu & Jaeyoung Lee, 2023. "Contributing Factors to the Changes in Public and Private Transportation Mode Choice after the COVID-19 Outbreak in Urban Areas of China," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
    2. Wang, Kai-Hua & Su, Chi-Wei & Xiao, Yidong & Liu, Lu, 2022. "Is the oil price a barometer of China's automobile market? From a wavelet-based quantile-on-quantile regression perspective," Energy, Elsevier, vol. 240(C).
    3. Kumar, Rajeev Ranjan & Guha, Pritha & Chakraborty, Abhishek, 2022. "Comparative assessment and selection of electric vehicle diffusion models: A global outlook," Energy, Elsevier, vol. 238(PC).
    4. Priom Mahmud & Sanjoy Kumar Paul & Abdullahil Azeem & Priyabrata Chowdhury, 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 13(13), pages 1-28, July.
    5. Guo, Yaoqi & Li, Yingli & Liu, Yongheng & Zhang, Hongwei, 2023. "The impact of geopolitical relations on the evolution of cobalt trade network from the perspective of industrial chain," Resources Policy, Elsevier, vol. 85(PA).
    6. Hao, Hongchang & Ma, Zhe & Wang, Anjian & Xing, Wanli & Song, Hao & Zhao, Pei & Wei, Jiangqiao & Zheng, Shuxian, 2023. "Modeling and assessing the robustness of the lithium global trade system against cascading failures," Resources Policy, Elsevier, vol. 85(PB).
    7. Yang, Zaoli & Li, Qin & Yan, Yamin & Shang, Wen-Long & Ochieng, Washington, 2022. "Examining influence factors of Chinese electric vehicle market demand based on online reviews under moderating effect of subsidy policy," Applied Energy, Elsevier, vol. 326(C).
    8. Haodong Chen & Hengyi Zhang & Eias Al Humdan & Mohammed Alharithi & Yu Gong, 2023. "Research on Multi-Channel Supply Chain Decisions Considering Carbon Emission Cost and Consumer Loyalty," Sustainability, MDPI, vol. 15(14), pages 1-28, July.
    9. Cao, Jidi & Chen, Xin & Qiu, Rui & Hou, Shuhua, 2021. "Electric vehicle industry sustainable development with a stakeholder engagement system," Technology in Society, Elsevier, vol. 67(C).
    10. Li, Shuangqi & He, Hongwen & Zhao, Pengfei & Cheng, Shuang, 2022. "Data cleaning and restoring method for vehicle battery big data platform," Applied Energy, Elsevier, vol. 320(C).
    11. Ketudat Sun & Jeenanunta Chawalit, 2021. "Impact of the COVID-19 pandemic on logistics firms and their resilience: case studies in Thailand," Engineering Management in Production and Services, Sciendo, vol. 13(3), pages 86-98, September.
    12. Ziwen Ling & Christopher R. Cherry & Yi Wen, 2021. "Determining the Factors That Influence Electric Vehicle Adoption: A Stated Preference Survey Study in Beijing, China," Sustainability, MDPI, vol. 13(21), pages 1-22, October.
    13. Krystyna Gomółka & Piotr Kasprzak, 2021. "Directions and Prospects for the Development of the Electric Car Market in Selected ASEAN Countries," Energies, MDPI, vol. 14(22), pages 1-16, November.
    14. Zhang, Hongyan & Gao, Shuaizhi & Zhou, Peng, 2023. "Role of digitalization in energy storage technological innovation: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).

  20. Wang, Wenya & Fan, Liwei & Li, Zhenfu & Zhou, Peng & Chen, Xue, 2021. "Measuring dynamic competitive relationship and intensity among the global coal importing trade," Applied Energy, Elsevier, vol. 303(C).

    Cited by:

    1. Cary, Michael, 2023. "Climate policy boosts trade competitiveness: Evidence from timber trade networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    2. Zhao, Guimei & Li, Wenxiu & Geng, Yong & Bleischwitz, Raimund, 2023. "Uncovering the features of global antimony resource trade network," Resources Policy, Elsevier, vol. 85(PA).

  21. Ding, H. & Zhou, D.Q. & Liu, G.Q. & Zhou, P., 2020. "Cost reduction or electricity penetration: Government R&D-induced PV development and future policy schemes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).

    Cited by:

    1. D'Adamo, Idiano & Gastaldi, Massimo & Morone, Piergiuseppe, 2020. "The post COVID-19 green recovery in practice: Assessing the profitability of a policy proposal on residential photovoltaic plants," Energy Policy, Elsevier, vol. 147(C).
    2. Alina Ștefania Chenic & Alin Ioan Cretu & Adrian Burlacu & Nicolae Moroianu & Daniela Vîrjan & Dragos Huru & Mihaela Roberta Stanef-Puica & Vladimir Enachescu, 2022. "Logical Analysis on the Strategy for a Sustainable Transition of the World to Green Energy—2050. Smart Cities and Villages Coupled to Renewable Energy Sources with Low Carbon Footprint," Sustainability, MDPI, vol. 14(14), pages 1-30, July.
    3. Ma, Rufei & Cai, Huan & Ji, Qiang & Zhai, Pengxiang, 2021. "The impact of feed-in tariff degression on R&D investment in renewable energy: The case of the solar PV industry," Energy Policy, Elsevier, vol. 151(C).
    4. Chang, Lei & Qian, Chong & Dilanchiev, Azer, 2022. "Nexus between financial development and renewable energy: Empirical evidence from nonlinear autoregression distributed lag," Renewable Energy, Elsevier, vol. 193(C), pages 475-483.
    5. Libo Zhang & Qian Du & Dequn Zhou, 2021. "Grid Parity Analysis of China’s Centralized Photovoltaic Generation under Multiple Uncertainties," Energies, MDPI, vol. 14(7), pages 1-19, March.
    6. Ming Fang & Chiu-Lan Chang, 2022. "Nexus between fiscal imbalances, green fiscal spending, and green economic growth: empirical findings from E-7 economies," Economic Change and Restructuring, Springer, vol. 55(4), pages 2423-2443, November.
    7. Xin-gang, Zhao & Wei, Wang & Ling, Wu, 2021. "A dynamic analysis of research and development incentive on China's photovoltaic industry based on system dynamics model," Energy, Elsevier, vol. 233(C).
    8. Liu, Zhengguang & Guo, Zhiling & Chen, Qi & Song, Chenchen & Shang, Wenlong & Yuan, Meng & Zhang, Haoran, 2023. "A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives," Energy, Elsevier, vol. 263(PE).
    9. Martina Pilloni & József Kádár & Tareq Abu Hamed, 2022. "The Impact of COVID-19 on Energy Start-Up Companies: The Use of Global Financial Crisis (GFC) as a Lesson for Future Recovery," Energies, MDPI, vol. 15(10), pages 1-15, May.
    10. Xu, Jie & Lv, Tao & Hou, Xiaoran & Deng, Xu & Li, Na & Liu, Feng, 2022. "Spatiotemporal characteristics and influencing factors of renewable energy production in China: A spatial econometric analysis," Energy Economics, Elsevier, vol. 116(C).
    11. Jabir Ali Ouassou & Julian Straus & Marte Fodstad & Gunhild Reigstad & Ove Wolfgang, 2021. "Applying Endogenous Learning Models in Energy System Optimization," Energies, MDPI, vol. 14(16), pages 1-21, August.
    12. Hu, Xin & Chen, Fei & Zhang, Zhenhua, 2021. "Model construction and optical properties investigation for multi-sectioned compound parabolic concentrator with particle swarm optimization," Renewable Energy, Elsevier, vol. 179(C), pages 379-394.
    13. Alemzero, David & Acheampong, Theophilus & Huaping, Sun, 2021. "Prospects of wind energy deployment in Africa: Technical and economic analysis," Renewable Energy, Elsevier, vol. 179(C), pages 652-666.
    14. Luo, Shunjun & Zhang, Shaohui, 2022. "How R&D expenditure intermediate as a new determinants for low carbon energy transition in Belt and Road Initiative economies," Renewable Energy, Elsevier, vol. 197(C), pages 101-109.
    15. Jabir Ali Ouassou & Julian Straus & Marte Fodstad & Gunhild Reigstad & Ove Wolfgang, 2021. "Applying endogenous learning models in energy system optimization," Papers 2106.06373, arXiv.org.
    16. Grafström, Jonas & Poudineh, Rahmat, 2023. "No evidence of counteracting policy effects on European solar power invention and diffusion," Energy Policy, Elsevier, vol. 172(C).
    17. Grafström, Jonas & Poudineh, Rahmat, 2023. "Invention and Diffusion in the Solar Power Sector," Ratio Working Papers 364, The Ratio Institute.
    18. Chen, Feng & Wu, Bin & Lou, Wenqian, 2021. "An evolutionary analysis on the effect of government policies on green R & D of photovoltaic industry diffusion in complex network," Energy Policy, Elsevier, vol. 152(C).
    19. Nuñez-Jimenez, Alejandro & Knoeri, Christof & Hoppmann, Joern & Hoffmann, Volker H., 2022. "Beyond innovation and deployment: Modeling the impact of technology-push and demand-pull policies in Germany's solar policy mix," Research Policy, Elsevier, vol. 51(10).
    20. Song, Zhe & Liu, Jia & Yang, Hongxing, 2021. "Air pollution and soiling implications for solar photovoltaic power generation: A comprehensive review," Applied Energy, Elsevier, vol. 298(C).

  22. Zhou, P. & Wen, Wen, 2020. "Carbon-constrained firm decisions: From business strategies to operations modeling," European Journal of Operational Research, Elsevier, vol. 281(1), pages 1-15.

    Cited by:

    1. Peng, Weicai & Lu, Shibao & Lu, Wenjing, 2022. "Green financing for the establishment of renewable resources under carbon emission regulation," Renewable Energy, Elsevier, vol. 199(C), pages 1210-1225.
    2. Li, Wei & Wang, Peilin & Cheng, Wencheng & Nie, Kai, 2024. "Transnational remanufacturing decisions under carbon taxes and tariffs," European Journal of Operational Research, Elsevier, vol. 312(1), pages 150-163.
    3. Zhou, Xiaoyang & Wei, Xiaoya & Lin, Jun & Tian, Xin & Lev, Benjamin & Wang, Shouyang, 2021. "Supply chain management under carbon taxes: A review and bibliometric analysis," Omega, Elsevier, vol. 98(C).
    4. Lin, Xiaogang & Chen, Danna & Zhou, Yong-Wu & Lin, Qiang, 2022. "Horizontal mergers in low carbon manufacturing," European Journal of Operational Research, Elsevier, vol. 297(1), pages 359-368.
    5. Sim, Jeongeun & Kim, Bowon, 2021. "Regulatory versus consumer pressure and retailer responsibility for upstream pollution in a supply chain," Omega, Elsevier, vol. 101(C).
    6. Yuan Yuan & Feng Cai & Lingling Yang, 2020. "Renewable Energy Investment under Carbon Emission Regulations," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    7. Yang, Yuxiang & Goodarzi, Shadi & Bozorgi, Ali & Fahimnia, Behnam, 2021. "Carbon cap-and-trade schemes in closed-loop supply chains: Why firms do not comply?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    8. Wu, F. & Wang, S.Y. & Zhou, P., 2023. "Marginal abatement cost of carbon dioxide emissions: The role of abatement options," European Journal of Operational Research, Elsevier, vol. 310(2), pages 891-901.
    9. Mukunda Choudhury & Sujit Kumar De & Gour Chandra Mahata, 2023. "A pollution-sensitive multistage production-inventory model for deteriorating items considering expiration date under Stackelberg game approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11847-11884, October.
    10. Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).
    11. Tianlin Zhai & Linke Wu & Yuanmeng Chen & Mian Faisal Nazir & Mingyuan Chang & Yuanbo Ma & Enxiang Cai & Guanyu Ding & Chenchen Zhao & Ling Li & Longyang Huang, 2022. "Ecological Compensation in the Context of Carbon Neutrality: A Case Involving Service Production-Transmission and Distribution-Service Consumption," Land, MDPI, vol. 11(12), pages 1-18, December.
    12. Liu, Baolong & Papier, Felix, 2022. "Remanufacturing of multi-component systems with product substitution," European Journal of Operational Research, Elsevier, vol. 301(3), pages 896-911.
    13. Matthew P. Johnson & Theresa S. Rötzel & Brigitte Frank, 2023. "Beyond conventional corporate responses to climate change towards deep decarbonization: a systematic literature review," Management Review Quarterly, Springer, vol. 73(2), pages 921-954, June.
    14. Liang Shen & Fei Lin & T. C. E. Cheng, 2022. "Low-Carbon Transition Models of High Carbon Supply Chains under the Mixed Carbon Cap-and-Trade and Carbon Tax Policy in the Carbon Neutrality Era," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    15. Chenglin Hu & Junsong Bian & Kin-Keung Lai, 2023. "Joint Optimal Production Planning in Supply Chains under Diverse Low-Carbon Policies," Mathematics, MDPI, vol. 11(15), pages 1-22, August.
    16. Shi, Xiutian & Chan, Hau-Ling & Dong, Ciwei, 2020. "Impacts of competition between buying firms on corporate social responsibility efforts: Does competition do more harm than good?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    17. Fan, Di & Lo, Chris K.Y. & Zhou, Yi, 2021. "Sustainability risk in supply bases: The role of complexity and coupling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    18. Shuran Wen & Wei Cui & Guiying Wei, 2022. "The Impact of the Low-Carbon Energy Concept and Green Transition on Corporate Behaviour—A Perspective Based on a Contagion Model," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    19. Nathalia Wolf & Pablo Escalona & Mónica López-Campos & Alejandro Angulo & Jorge Weston, 2023. "On Carbon Tax Effectiveness in Inducing a Clean Technology Transition: An Evaluation Based on Optimal Strategic Capacity Planning," Sustainability, MDPI, vol. 15(15), pages 1-23, July.
    20. Feng, Hairong & Zeng, Yinlian & Cai, Xiaoqiang & Qian, Qian & Zhou, Yongwu, 2021. "Altruistic profit allocation rules for joint replenishment with carbon cap-and-trade policy," European Journal of Operational Research, Elsevier, vol. 290(3), pages 956-967.
    21. Fu, Ke & Li, Yanzhi & Mao, Huiqiang & Miao, Zhaowei, 2023. "Firms’ production and green technology strategies: The role of emission asymmetry and carbon taxes," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1100-1112.
    22. Thayla Zomer & Paulo Savaget, 2023. "Disentangling Decarbonisation Ambidexterity: An Analysis of European Companies," Sustainability, MDPI, vol. 15(13), pages 1-17, July.
    23. Kai Cao & Yanlan Mei, 2022. "Green Supply Chain Decision and Management under Manufacturer’s Fairness Concern and Risk Aversion," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
    24. Yinping Mu & Juan Zhao, 2023. "Production Strategy and Technology Innovation under Different Carbon Emission Polices," Sustainability, MDPI, vol. 15(12), pages 1-17, June.

  23. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).

    Cited by:

    1. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).
    2. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    3. Li, Yaya & Cobbinah, Joana & Abban, Olivier Joseph & Veglianti, Eleonora, 2023. "Does green manufacturing technology innovation decrease energy intensity for sustainable development?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1010-1025.
    4. Yu, Shiwei & Liu, Jie & Hu, Xing & Tian, Peng, 2022. "Does development of renewable energy reduce energy intensity? Evidence from 82 countries," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    5. Amoako, Samuel & Andoh, Francis Kwaw & Asmah, Emmanuel Ekow, 2023. "Technological advancement, sectoral growth, and electricity consumption in Ghana," Energy, Elsevier, vol. 263(PB).
    6. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).

  24. Wang, H. & Pan, Chen & Wang, Qunwei & Zhou, P., 2020. "Assessing sustainability performance of global supply chains: An input-output modeling approach," European Journal of Operational Research, Elsevier, vol. 285(1), pages 393-404.

    Cited by:

    1. Mukesh Kumar & Rakesh D. Raut & Mahak Sharma & Vikas Kumar Choubey & Sanjoy Kumar Paul, 2022. "Enablers for resilience and pandemic preparedness in food supply chain," Operations Management Research, Springer, vol. 15(3), pages 1198-1223, December.
    2. Ke Zhang & Xingwei Wang, 2021. "Pollution Haven Hypothesis of Global CO 2 , SO 2 , NO x —Evidence from 43 Economies and 56 Sectors," IJERPH, MDPI, vol. 18(12), pages 1-27, June.
    3. Thomas K. Dasaklis & Theodore G. Voutsinas & Giannis T. Tsoulfas & Fran Casino, 2022. "A Systematic Literature Review of Blockchain-Enabled Supply Chain Traceability Implementations," Sustainability, MDPI, vol. 14(4), pages 1-30, February.
    4. Majid Azadi & Zohreh Moghaddas & Reza Farzipoor Saen & Angappa Gunasekaran & Sachin Kumar Mangla & Alessio Ishizaka, 2023. "Using network data envelopment analysis to assess the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 328(1), pages 107-150, September.
    5. Wang, Qiang & Jiang, Feng & Li, Rongrong, 2022. "Assessing supply chain greenness from the perspective of embodied renewable energy – A data envelopment analysis using multi-regional input-output analysis," Renewable Energy, Elsevier, vol. 189(C), pages 1292-1305.
    6. Yiming Zhuang & Meltem Denizel & Frank Montabon, 2023. "Examining Firms’ Sustainability Frontier: Efficiency in Reaching the Triple Bottom Line," Sustainability, MDPI, vol. 15(11), pages 1-22, May.
    7. Lotfi, Farhad Hosseinzadeh & Saen, Reza Farzipoor & Moghaddas, Zohreh & Vaez-Ghasemi, Mohsen, 2023. "Using an SBM-NDEA model to assess the desirable and undesirable outputs of sustainable supply chain: A case study in wheat industry," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    8. Xu, Yue & Tian, Shu & Wang, Qingsong & Yuan, Xueliang & Ma, Qiao & Liu, Mengyue & Xu, Zhaopeng & Liu, Jixiang & Xu, Xiang & Liu, Chengqing, 2021. "Optimization path of energy-economy system from the perspective of minimum industrial structure adjustment," Energy, Elsevier, vol. 237(C).
    9. Xingyu Dai & Dongna Zhang & Chi Keung Marco Lau & Qunwei Wang, 2023. "Multiobjective portfolio optimization: Forecasting and evaluation under investment horizon heterogeneity," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2167-2196, December.
    10. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    11. Chen Chunhua & Liu Haohua & Tang Lijun & Ren Jianwei, 2021. "A Range Adjusted Measure of Super-Efficiency in Integer-Valued Data Envelopment Analysis with Undesirable Outputs," Journal of Systems Science and Information, De Gruyter, vol. 9(4), pages 378-398, August.
    12. Li, Yongqing & Ma, Huimin & Xiong, Jie & Zhang, Jinlong & Ponnamma Divakaran, Pradeep Kumar, 2022. "Manufacturing structure, transformation path, and performance evolution: An industrial network perspective," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    13. Akberdina, V. V. & Sergeeva, A. S., 2020. "Strategic Priorities for the Development of Middle Regions in Russia," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 6(2), pages 89-99.
    14. Popkova, Elena G. & Sergi, Bruno S., 2021. "Energy efficiency in leading emerging and developed countries," Energy, Elsevier, vol. 221(C).
    15. Song, Xiaoxin & Li, Rongrong, 2023. "Tracing and excavating critical paths and sectors for embodied energy consumption in global supply chains: A case study of China," Energy, Elsevier, vol. 284(C).
    16. Imadeddine Oubrahim & Naoufal Sefiani & Ari Happonen, 2023. "The Influence of Digital Transformation and Supply Chain Integration on Overall Sustainable Supply Chain Performance: An Empirical Analysis from Manufacturing Companies in Morocco," Energies, MDPI, vol. 16(2), pages 1-24, January.

  25. Zhang, Ling & Zhang, Lei & Xu, Yan & Zhou, Peng & Yeh, Chung-Hsing, 2020. "Evaluating urban land use efficiency with interacting criteria: An empirical study of cities in Jiangsu China," Land Use Policy, Elsevier, vol. 90(C).

    Cited by:

    1. Liangen Zeng, 2022. "The Driving Mechanism of Urban Land Green Use Efficiency in China Based on the EBM Model with Undesirable Outputs and the Spatial Dubin Model," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
    2. Wancong Li & Hong Li & Shijun Wang & Zhiqiang Feng, 2022. "Spatiotemporal Evolution of County-Level Land Use Structure in the Context of Urban Shrinkage: Evidence from Northeast China," Land, MDPI, vol. 11(10), pages 1-19, October.
    3. Song, Yang & Yeung, Godfrey & Zhu, Daolin & Xu, Yang & Zhang, Lixin, 2022. "Efficiency of urban land use in China’s resource-based cities, 2000–2018," Land Use Policy, Elsevier, vol. 115(C).
    4. Koroso, Nesru H., 2023. "Urban land policy and urban land use efficiency: An analysis based on remote sensing and institutional credibility thesis," Land Use Policy, Elsevier, vol. 132(C).
    5. Yanqi Zhao & Yue Zhang & Ying Yang & Fan Li & Rongkun Dai & Jianlin Li & Mingshi Wang & Zhenhua Li, 2023. "The Impact of Land Use Structure Change on Utilization Performance in Henan Province, China," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    6. Yao, Yongling & Pan, Haozhi & Cui, Xiaoyu & Wang, Zhen, 2022. "Do compact cities have higher efficiencies of agglomeration economies? A dynamic panel model with compactness indicators," Land Use Policy, Elsevier, vol. 115(C).
    7. Yin Ma & Minrui Zheng & Xinqi Zheng & Yi Huang & Feng Xu & Xiaoli Wang & Jiantao Liu & Yongqiang Lv & Wenchao Liu, 2023. "Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review," Land, MDPI, vol. 12(4), pages 1-21, April.
    8. Kun Ge & Shan Zou & Xinhai Lu & Shangan Ke & Danling Chen & Zhangsheng Liu, 2022. "Dynamic Evolution and the Mechanism behind the Coupling Coordination Relationship between Industrial Integration and Urban Land-Use Efficiency: A Case Study of the Yangtze River Economic Zone in China," Land, MDPI, vol. 11(2), pages 1-22, February.
    9. Kai Guo & Yiyun Chen & Min Chen & Chaojun Wang & Zeyi Chen & Weinan Cai & Renjie Li & Weiming Feng & Ming Jiang, 2021. "Causal Analysis of Ecological Impairment in Land Ecosystem on a Regional Scale: Applied to a Mining City Daye, China," Land, MDPI, vol. 10(5), pages 1-21, May.
    10. Yue Zhou & Yi Chen & Yi Hu, 2021. "Assessing Efficiency of Urban Land Utilisation under Environmental Constraints in Yangtze River Delta, China," IJERPH, MDPI, vol. 18(23), pages 1-18, November.
    11. Koroso, Nesru H. & Zevenbergen, Jaap A. & Lengoiboni, Monica, 2020. "Urban land use efficiency in Ethiopia: An assessment of urban land use sustainability in Addis Ababa," Land Use Policy, Elsevier, vol. 99(C).
    12. Qunxi Gong & Gengxuan Guo & Sipan Li & Xuedong Liang, 2021. "Examining the Coupling Coordinated Relationship between Urban Industrial Co-Agglomeration and Intensive Land Use," Land, MDPI, vol. 10(5), pages 1-12, May.
    13. Yongqiang Sun & Yan Li & Jing Gao & Yan Yan, 2022. "Spatial and Temporal Patterns of Urban Land Use Structure in Small Towns in China," Land, MDPI, vol. 11(8), pages 1-16, August.
    14. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    15. Xufeng Cui & Sheng Yang & Guanghong Zhang & Bin Liang & Fei Li, 2020. "An Exploration of a Synthetic Construction Land Use Quality Evaluation Based on Economic-Social-Ecological Coupling Perspective: A Case Study in Major Chinese Cities," IJERPH, MDPI, vol. 17(10), pages 1-16, May.
    16. Pinto, Ana M.F. & Ferreira, Fernando A.F. & Spahr, Ronald W. & Sunderman, Mark A. & Govindan, Kannan & Meidutė-Kavaliauskienė, Ieva, 2021. "Analyzing blight impacts on urban areas: A multi-criteria approach," Land Use Policy, Elsevier, vol. 108(C).
    17. Han Chen & Chunyu Meng & Qilin Cao, 2022. "Measurement and Influencing Factors of Low Carbon Urban Land Use Efficiency—Based on Non-Radial Directional Distance Function," Land, MDPI, vol. 11(7), pages 1-16, July.
    18. You, Lie & Li, Yurui & Wang, Rui & Pan, Haozhi, 2020. "A benefit evaluation model for build-up land use in megacity suburban districts," Land Use Policy, Elsevier, vol. 99(C).
    19. Chaopeng Li & Guoyin Cai & Zhongchang Sun, 2021. "Urban Land-Use Efficiency Analysis by Integrating LCRPGR and Additional Indicators," Sustainability, MDPI, vol. 13(24), pages 1-14, December.
    20. Yingkai Tang & Kun Wang & Xuanming Ji & He Xu & Yangqing Xiao, 2021. "Assessment and Spatial-Temporal Evolution Analysis of Urban Land Use Efficiency under Green Development Orientation: Case of the Yangtze River Delta Urban Agglomerations," Land, MDPI, vol. 10(7), pages 1-19, July.
    21. Xufeng Cui & Sisi Huang & Cuicui Liu & Tingting Zhou & Ling Shan & Fengyuan Zhang & Min Chen & Fei Li & Walter T. de Vries, 2021. "Applying SBM-GPA Model to Explore Urban Land Use Efficiency Considering Ecological Development in China," Land, MDPI, vol. 10(9), pages 1-15, August.
    22. Jingbo Liu & Haoyuan Feng & Kun Wang, 2022. "The Low-Carbon City Pilot Policy and Urban Land Use Efficiency: A Policy Assessment from China," Land, MDPI, vol. 11(5), pages 1-18, April.
    23. Hao Su & Shuo Yang, 2022. "Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(19), pages 1-28, October.

  26. Jin, Jingliang & Zhou, Peng & Li, Chenyu & Bai, Yang & Wen, Qinglan, 2020. "Optimization of power dispatching strategies integrating management attitudes with low carbon factors," Renewable Energy, Elsevier, vol. 155(C), pages 555-568.

    Cited by:

    1. Jingliang Jin & Qinglan Wen & Xianyue Zhang & Siqi Cheng & Xiaojun Guo, 2021. "Economic Emission Dispatch for Wind Power Integrated System with Carbon Trading Mechanism," Energies, MDPI, vol. 14(7), pages 1-17, March.

  27. Zhang, H. & Fan, L.W. & Zhou, P., 2020. "Handling heterogeneity in frontier modeling of city-level energy efficiency: The case of China," Applied Energy, Elsevier, vol. 279(C).

    Cited by:

    1. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas, 2021. "Improving energy use and mitigating pollutant emissions across “Three Regions and Ten Urban Agglomerations”: A city-level productivity growth decomposition," Applied Energy, Elsevier, vol. 283(C).
    2. Zhou, Sheng & Xu, Zhiwei, 2022. "Energy efficiency assessment of RCEP member states: A three-stage slack based measurement DEA with undesirable outputs," Energy, Elsevier, vol. 253(C).
    3. Zhu, Junpeng & Lin, Boqiang, 2022. "Economic growth pressure and energy efficiency improvement: Empirical evidence from Chinese cities," Applied Energy, Elsevier, vol. 307(C).
    4. Lin, Boqiang & Zhou, Yicheng, 2021. "Does fiscal decentralization improve energy and environmental performance? New perspective on vertical fiscal imbalance," Applied Energy, Elsevier, vol. 302(C).
    5. Wang, Ailun & Hu, Shuo & Lin, Boqiang, 2021. "Emission abatement cost in China with consideration of technological heterogeneity," Applied Energy, Elsevier, vol. 290(C).
    6. Kai Hu & Dandan Li & Daqian Shi & Wenli Xu, 2023. "Environmental regulation and energy efficiency: evidence from daily penalty policy in China," Journal of Regulatory Economics, Springer, vol. 63(1), pages 1-29, April.
    7. Wei, Wei & Hu, Haiqing & Chang, Chun-Ping, 2022. "Why the same degree of economic policy uncertainty can produce different outcomes in energy efficiency? New evidence from China," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 467-481.
    8. Luping Zhang & Yingying Zhu & Liwei Fan, 2021. "Temporal-Spatial Structure and Influencing Factors of Urban Energy Efficiency in China’s Agglomeration Areas," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    9. Wang, Na & Fu, Xiaodong & Wang, Shaobin & Yang, Hao & Li, Zhen, 2022. "Convergence characteristics and distribution patterns of residential electricity consumption in China: An urban-rural gap perspective," Energy, Elsevier, vol. 254(PB).
    10. Yonghan Jeon & Jongoh Nam, 2023. "Estimating Energy Efficiency and Energy Saving Potential in the Republic of Korea’s Offshore Fisheries," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
    11. Yin, Sihua & Yang, Haidong & Xu, Kangkang & Zhu, Chengjiu & Zhang, Shaqing & Liu, Guosheng, 2022. "Dynamic real–time abnormal energy consumption detection and energy efficiency optimization analysis considering uncertainty," Applied Energy, Elsevier, vol. 307(C).
    12. Hongcheng Shen & Zihao Yang & Yuxin Bao & Xiaonuan Xia & Dan Wang, 2022. "Impact of Urban Mining on Energy Efficiency: Evidence from China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    13. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).
    14. Li, Mengna & Pan, Xiongfeng & Yuan, Sai, 2022. "Do the national industrial relocation demonstration zones have higher regional energy efficiency?," Applied Energy, Elsevier, vol. 306(PA).
    15. Chong Peng & Jingjing Zhang & Zhenyu Xu, 2022. "Does Price Distortion Affect Energy Efficiency? Evidence from Dynamic Spatial Analytics of China," Energies, MDPI, vol. 15(24), pages 1-15, December.
    16. Wu, Bangzheng & Yue, Pengpeng & Zuo, Shengqiang, 2023. "Borrow to be the poor or the rich? It depends: Credit market and wealth accumulation," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 804-821.
    17. Cheng, Zhuo & Kai, Zhe & Zhu, Shouwenjun, 2023. "Does green finance regulation improve renewable energy utilization? Evidence from energy consumption efficiency," Renewable Energy, Elsevier, vol. 208(C), pages 63-75.
    18. Krzysztof Księżopolski & Mirosław Drygas & Kamila Pronińska & Iwona Nurzyńska, 2020. "The Economic Effects of New Patterns of Energy Efficiency and Heat Sources in Rural Single-Family Houses in Poland," Energies, MDPI, vol. 13(23), pages 1-19, December.
    19. Liu, Fengqin & Sim, Jae-yeon & Sun, Huaping & Edziah, Bless Kofi & Adom, Philip Kofi & Song, Shunfeng, 2023. "Assessing the role of economic globalization on energy efficiency: Evidence from a global perspective," China Economic Review, Elsevier, vol. 77(C).
    20. Che, Xiao-Jing & Zhou, P. & Wang, M., 2022. "The policy effect on photovoltaic technology innovation with regional heterogeneity in China," Energy Economics, Elsevier, vol. 115(C).

  28. Chengyu Li & Qunwei Wang & Peng Zhou, 2020. "Evaluation and Prediction of Wind Power Utilization Efficiency Based on Super-SBM and LSTM Models: A Case Study of 30 Provinces in China," Complexity, Hindawi, vol. 2020, pages 1-13, November.

    Cited by:

    1. Xiaoyan Sun & Wenwei Lian & Hongmei Duan & Anjian Wang, 2021. "Factors Affecting Wind Power Efficiency: Evidence from Provincial-Level Data in China," Sustainability, MDPI, vol. 13(22), pages 1-17, November.

  29. Ji, D.J. & Zhou, P., 2020. "Marginal abatement cost, air pollution and economic growth: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 86(C).

    Cited by:

    1. Zhou, Yi & Zhou, Wenji & Wei, Chu, 2023. "Environmental performance of the Chinese cement enterprise: An empirical analysis using a text-based directional vector," Energy Economics, Elsevier, vol. 125(C).
    2. D'Adamo, Idiano & Gastaldi, Massimo & Morone, Piergiuseppe, 2020. "The post COVID-19 green recovery in practice: Assessing the profitability of a policy proposal on residential photovoltaic plants," Energy Policy, Elsevier, vol. 147(C).
    3. Dong-Hyun Oh & JongWuk Ahn & Sinwoo Lee & Hyundo Choi, 2021. "Measuring technical inefficiency and CO2 shadow price of Korean fossil-fuel generation companies using deterministic and stochastic approaches," Energy & Environment, , vol. 32(3), pages 403-423, May.
    4. Wang, Ailun & Hu, Shuo & Lin, Boqiang, 2021. "Emission abatement cost in China with consideration of technological heterogeneity," Applied Energy, Elsevier, vol. 290(C).
    5. Ming Fang & Chiu-Lan Chang, 2022. "Nexus between fiscal imbalances, green fiscal spending, and green economic growth: empirical findings from E-7 economies," Economic Change and Restructuring, Springer, vol. 55(4), pages 2423-2443, November.
    6. Yunfei An & Xunpeng Shi & Qunwei Wang & Jian Yu & Dequn Zhou & Xiaoyong Zhou, 2023. "China's manufacturing firms' willingness to pay for carbon abatement: A cost perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5477-5486, December.
    7. Pei Liu & Jiajun Xu & Xiaojun Yang, 2023. "Spatial Difference and Convergence of Ecological Common Prosperity: Evidence from the Yellow River Basin in China," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
    8. Zhang, Guo-Xing & Yang, Yang & Su, Bin & Nie, Yan & Duan, Hong-Bo, 2023. "Electricity production, power generation structure, and air pollution: A monthly data analysis for 279 cities in China (2015–2019)," Energy Economics, Elsevier, vol. 120(C).
    9. Wu, F. & Wang, S.Y. & Zhou, P., 2023. "Marginal abatement cost of carbon dioxide emissions: The role of abatement options," European Journal of Operational Research, Elsevier, vol. 310(2), pages 891-901.
    10. Zhang, Qianxiao & Shah, Syed Ale Raza & Yang, Ling, 2022. "An Appreciated Response of Disaggregated Energies Consumption towards the Sustainable Growth: A debate on G-10 Economies," Energy, Elsevier, vol. 254(PA).
    11. Luo, Shunjun & Zhang, Shaohui, 2022. "How R&D expenditure intermediate as a new determinants for low carbon energy transition in Belt and Road Initiative economies," Renewable Energy, Elsevier, vol. 197(C), pages 101-109.
    12. Bei Gao & Zuoren Sun, 2023. "Marginal CO 2 and SO 2 Abatement Costs and Determinants of Coal-Fired Power Plants in China: Considering a Two-Stage Production System with Different Emission Reduction Approaches," Energies, MDPI, vol. 16(8), pages 1-26, April.
    13. Xu, Lan & Yang, Jun & Cheng, Jixin & Dong, Hanghang, 2022. "How has China's low-carbon city pilot policy influenced its CO2 abatement costs? Analysis from the perspective of the shadow price," Energy Economics, Elsevier, vol. 115(C).
    14. Quinn, Barry & Gallagher, Ronan & Kuosmanen, Timo, 2023. "Lurking in the shadows: The impact of CO2 emissions target setting on carbon pricing in the Kyoto agreement period," Energy Economics, Elsevier, vol. 118(C).
    15. Xin Nie & Jianxian Wu & Han Wang & Weijuan Li & Chengdao Huang & Lihua Li, 2022. "Contributing to carbon peak: Estimating the causal impact of eco‐industrial parks on low‐carbon development in China," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1578-1593, August.
    16. Wen, Xiaojie & Yao, Shunbo & Sauer, Johannes, 2022. "Shadow prices and abatement cost of soil erosion in Shaanxi Province, China: Convex expectile regression approach," Ecological Economics, Elsevier, vol. 201(C).
    17. Qingwei Shi & Hong Ren & Weiguang Cai & Jingxin Gao, 2020. "How to Set the Proper CO 2 Reduction Targets for the Provincial Building Sector of China?," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    18. Wang, Ailun & Hu, Shuo & Li, Jianglong, 2021. "Does economic development help achieve the goals of environmental regulation? Evidence from partially linear functional-coefficient model," Energy Economics, Elsevier, vol. 103(C).

  30. Ding, Hao & Zhou, Dequn & Zhou, P., 2020. "Optimal policy supports for renewable energy technology development: A dynamic programming model," Energy Economics, Elsevier, vol. 92(C).

    Cited by:

    1. Jamali, Mohammad-Bagher & Rasti-Barzoki, Morteza, 2022. "A game-theoretic approach for examining government support strategies and licensing contracts in an electricity supply chain with technology spillover: A case study of Iran," Energy, Elsevier, vol. 242(C).
    2. Wei Wei & Ling He & Xiaofan Li & Qi Cui & Hao Chen, 2022. "The Effectiveness and Trade-Offs of Renewable Energy Policies in Achieving the Dual Decarbonization Goals in China: A Dynamic Computable General Equilibrium Analysis," IJERPH, MDPI, vol. 19(11), pages 1-18, May.
    3. Ma, Rufei & Cai, Huan & Ji, Qiang & Zhai, Pengxiang, 2021. "The impact of feed-in tariff degression on R&D investment in renewable energy: The case of the solar PV industry," Energy Policy, Elsevier, vol. 151(C).
    4. Nuñez-Jimenez, Alejandro & Knoeri, Christof & Rottmann, Fabian & Hoffmann, Volker H., 2020. "The role of responsiveness in deployment policies: A quantitative, cross-country assessment using agent-based modelling," Applied Energy, Elsevier, vol. 275(C).
    5. Roberto Fazioli & Francesca Pantaleone, 2021. "Macroeconomic Factors Influencing Public Policy Strategies for Blue and Green Hydrogen," Energies, MDPI, vol. 14(23), pages 1-18, November.
    6. Yuan Yuan & Feng Cai & Lingling Yang, 2020. "Renewable Energy Investment under Carbon Emission Regulations," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    7. Ireneusz Miciuła & Henryk Wojtaszek & Bogdan Włodarczyk & Marek Szturo & Miłosz Gac & Jerzy Będźmirowski & Katarzyna Kazojć & Judyta Kabus, 2021. "The Current Picture of the Transition to a Green Economy in the EU—Trends in Climate and Energy Policy versus State Security," Energies, MDPI, vol. 14(23), pages 1-25, December.
    8. O'Shaughnessy, Eric, 2022. "Rooftop solar incentives remain effective for low- and moderate-income adoption," Energy Policy, Elsevier, vol. 163(C).
    9. Li, Longxi & Cao, Xilin, 2022. "Comprehensive effectiveness assessment of energy storage incentive mechanisms for PV-ESS projects based on compound real options," Energy, Elsevier, vol. 239(PA).
    10. Hu, Xing & Guo, Yingying & Zheng, Yali & Liu, Lan-cui & Yu, Shiwei, 2022. "Which types of policies better promote the development of renewable energy? Evidence from China's provincial data," Renewable Energy, Elsevier, vol. 198(C), pages 1373-1382.
    11. Rahman, Arief & Richards, Russell & Dargusch, Paul & Wadley, David, 2023. "Pathways to reduce Indonesia’s dependence on oil and achieve longer-term decarbonization," Renewable Energy, Elsevier, vol. 202(C), pages 1305-1323.
    12. Henrik Zsiborács & András Vincze & Gábor Pintér & Nóra Hegedűsné Baranyai, 2023. "A Comparative Examination of the Electricity Saving Potentials of Direct Residential PV Energy Use in European Countries," Sustainability, MDPI, vol. 15(8), pages 1-19, April.
    13. Dong, Zhuojia & Yu, Xianyu & Chang, Ching-Ter & Zhou, Dequn & Sang, Xiuzhi, 2022. "How does feed-in tariff and renewable portfolio standard evolve synergistically? An integrated approach of tripartite evolutionary game and system dynamics," Renewable Energy, Elsevier, vol. 186(C), pages 864-877.

  31. Wu, F. & Zhou, P. & Zhou, D.Q., 2020. "Modeling carbon emission performance under a new joint production technology with energy input," Energy Economics, Elsevier, vol. 92(C).

    Cited by:

    1. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    2. Lin, Boqiang & Li, Zheng, 2022. "Towards world's low carbon development: The role of clean energy," Applied Energy, Elsevier, vol. 307(C).
    3. Wu, F. & Wang, S.Y. & Zhou, P., 2023. "Marginal abatement cost of carbon dioxide emissions: The role of abatement options," European Journal of Operational Research, Elsevier, vol. 310(2), pages 891-901.
    4. Xiaogeng Niu & Meiyu Liu & Zhenxing Tian & Anguo Chen, 2022. "Research on the Impact of Agricultural Financial Support on Agricultural Carbon Compensation Rate," Sustainability, MDPI, vol. 14(21), pages 1-15, October.

  32. H. Wang & Chen Pan & P. Zhou, 2019. "Assessing the Role of Domestic Value Chains in China’s CO2 Emission Intensity: A Multi-Region Structural Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 865-890, October.

    Cited by:

    1. Zhong, Zhangqi & Guo, Zhifang & Zhang, Jianwu, 2021. "Does the participation in global value chains promote interregional carbon emissions transferring via trade? Evidence from 39 major economies," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    2. Chen, Jian & Zhao, Di, 2022. "Complexity of domestic production fragmentation and its impact on pollution emissions: Evidence from decomposed regional production length," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 127-137.
    3. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    4. Zhang, Danyang & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2021. "The changing role of global value chains in CO2 emission intensity in 2000–2014," Energy Economics, Elsevier, vol. 93(C).
    5. Yang, Yafei & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2022. "Patterns and determinants of carbon emission flows along the Belt and Road from 2005 to 2030," Ecological Economics, Elsevier, vol. 192(C).

  33. Jin, Jingliang & Zhou, Peng & Li, Chenyu & Guo, Xiaojun & Zhang, Mingming, 2019. "Low-carbon power dispatch with wind power based on carbon trading mechanism," Energy, Elsevier, vol. 170(C), pages 250-260.

    Cited by:

    1. Yan, Sizhe & Wang, Weiqing & Li, Xiaozhu & Zhao, Yi, 2022. "Research on a cross-regional robust trading strategy based on multiple market mechanisms," Energy, Elsevier, vol. 261(PB).
    2. Meng, Fanyi & Bai, Yang & Jin, Jingliang, 2021. "An advanced real-time dispatching strategy for a distributed energy system based on the reinforcement learning algorithm," Renewable Energy, Elsevier, vol. 178(C), pages 13-24.
    3. Amigo, Pía & Cea-Echenique, Sebastián & Feijoo, Felipe, 2021. "A two stage cap-and-trade model with allowance re-trading and capacity investment: The case of the Chilean NDC targets," Energy, Elsevier, vol. 224(C).
    4. Huang, Yujing & Wang, Yudong & Liu, Nian, 2022. "Low-carbon economic dispatch and energy sharing method of multiple Integrated Energy Systems from the perspective of System of Systems," Energy, Elsevier, vol. 244(PA).
    5. Huazhen Cao & Chong Gao & Xuan He & Yang Li & Tao Yu, 2020. "Multi-Agent Cooperation Based Reduced-Dimension Q(λ) Learning for Optimal Carbon-Energy Combined-Flow," Energies, MDPI, vol. 13(18), pages 1-22, September.
    6. Kiss, Tibor & Popovics, Steve, 2021. "Evaluation on the effectiveness of energy policies – Evidence from the carbon reductions in 25 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    7. Junpei Nan & Jieran Feng & Xu Deng & Chao Wang & Ke Sun & Hao Zhou, 2022. "Hierarchical Low-Carbon Economic Dispatch with Source-Load Bilateral Carbon-Trading Based on Aumann–Shapley Method," Energies, MDPI, vol. 15(15), pages 1-17, July.
    8. Qian, Tong & Tang, Wenhu & Wu, Qinghua, 2020. "A fully decentralized dual consensus method for carbon trading power dispatch with wind power," Energy, Elsevier, vol. 203(C).
    9. Jin, Jingliang & Wen, Qinglan & Cheng, Siqi & Qiu, Yaru & Zhang, Xianyue & Guo, Xiaojun, 2022. "Optimization of carbon emission reduction paths in the low-carbon power dispatching process," Renewable Energy, Elsevier, vol. 188(C), pages 425-436.
    10. Tan, Qinliang & Ding, Yihong & Zheng, Jin & Dai, Mei & Zhang, Yimei, 2021. "The effects of carbon emissions trading and renewable portfolio standards on the integrated wind–photovoltaic–thermal power-dispatching system: Real case studies in China," Energy, Elsevier, vol. 222(C).
    11. Jiaojiao Sun & Feng Dong, 2023. "Optimal reduction and equilibrium carbon allowance price for the thermal power industry under China’s peak carbon emissions target," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
    12. Zhou, Xu & Ma, Zhongjing & Zou, Suli & Zhang, Jinhui, 2022. "Consensus-based distributed economic dispatch for Multi Micro Energy Grid systems under coupled carbon emissions," Applied Energy, Elsevier, vol. 324(C).

  34. Xiaoyun Xiong & Peng Zhou & Yunqiang Yin & T. C. E. Cheng & Dengfeng Li, 2019. "An exact branch‐and‐price algorithm for multitasking scheduling on unrelated parallel machines," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(6), pages 502-516, September.

    Cited by:

    1. Wieslaw Kubiak & Yanling Feng & Guo Li & Suresh P. Sethi & Chelliah Sriskandarajah, 2020. "Efficient algorithms for flexible job shop scheduling with parallel machines," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(4), pages 272-288, June.
    2. Chen, Xin & Miao, Qian & Lin, Bertrand M.T. & Sterna, Malgorzata & Blazewicz, Jacek, 2022. "Two-machine flow shop scheduling with a common due date to maximize total early work," European Journal of Operational Research, Elsevier, vol. 300(2), pages 504-511.
    3. Yongjian Yang & Guangqiang Yin & Chunyu Wang & Yunqiang Yin, 0. "Due date assignment and two-agent scheduling under multitasking environment," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-17.
    4. Yongjian Yang & Guangqiang Yin & Chunyu Wang & Yunqiang Yin, 2022. "Due date assignment and two-agent scheduling under multitasking environment," Journal of Combinatorial Optimization, Springer, vol. 44(4), pages 2207-2223, November.

  35. Qiu, Y.Q. & Zhou, P. & Sun, H.C., 2019. "Assessing the effectiveness of city-level electric vehicle policies in China," Energy Policy, Elsevier, vol. 130(C), pages 22-31.

    Cited by:

    1. Peng, Yuan & Bai, Xuemei, 2023. "What EV users say about policy efficacy: Evidence from Shanghai," Transport Policy, Elsevier, vol. 132(C), pages 16-26.
    2. Wu, Yang Andrew & Ng, Artie W. & Yu, Zichao & Huang, Jie & Meng, Ke & Dong, Z.Y., 2021. "A review of evolutionary policy incentives for sustainable development of electric vehicles in China: Strategic implications," Energy Policy, Elsevier, vol. 148(PB).
    3. Zhang, Junjie & Jia, Rongwen & Yang, Hangjun & Dong, Kangyin, 2022. "Does electric vehicle promotion in the public sector contribute to urban transport carbon emissions reduction?," Transport Policy, Elsevier, vol. 125(C), pages 151-163.
    4. Yanping Qiao & Roger Raufer, 2022. "Electric truck deployment in Chinese cities: Promotion policies and implications for future policymaking," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(4), July.
    5. Tong Zhang, Paul J. Burke, and Qi Wang, 2024. "Effectiveness of electric vehicle subsidies in China: A three-dimensional panel study," Departmental Working Papers 2024-1, The Australian National University, Arndt-Corden Department of Economics.
    6. Yongqing Xiong & Shufeng Qin, 2021. "Differences in the effects of China’s new energy vehicle industry policies on market growth from the perspective of policy mix," Energy & Environment, , vol. 32(3), pages 542-561, May.
    7. Xuemei Zheng & Flavio Menezes & Xiaofeng Zheng & Chengkuan Wu, 2021. "An Empirical Assessment of the Impact of Subsidies on EV adoption in China: A Difference-in-Differences Approach," Discussion Papers Series 645, School of Economics, University of Queensland, Australia.
    8. Zulfiqar Ali Lashari & Joonho Ko & Seunghyun Jung & Sungtaek Choi, 2022. "Choices of Potential Car Buyers Regarding Alternative Fuel Vehicles in South Korea: A Discrete Choice Modeling Approach," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    9. Dania Ortiz & Vítor Leal, 2020. "Energy Policy Concerns, Objectives and Indicators: A Review towards a Framework for Effectiveness Assessment," Energies, MDPI, vol. 13(24), pages 1-26, December.
    10. Ma, Shao-Chao & Fan, Ying, 2020. "A deployment model of EV charging piles and its impact on EV promotion," Energy Policy, Elsevier, vol. 146(C).
    11. Hsiao, Cody Yu-Ling & Yang, Rui & Zheng, Xin & Chiu, Yi-Bin, 2023. "Evaluations of policy contagion for new energy vehicle industry in China," Energy Policy, Elsevier, vol. 173(C).
    12. Zhang, Xiang & Hu, Xiaoming & Qi, Liang, 2022. "Terminated local subsidy on electric vehicle adoption during the COVID-19 pandemic: The case of Chongqing City," Energy, Elsevier, vol. 259(C).
    13. Wei, Rui & Zhang, Wencheng & Peng, Shuijun, 2022. "Energy and greenhouse gas footprints of China households during 1995–2019: A global perspective," Energy Policy, Elsevier, vol. 164(C).
    14. Yao, Xusheng & Ma, Shoufeng & Bai, Yin & Jia, Ning, 2022. "When are new energy vehicle incentives effective? Empirical evidence from 88 pilot cities in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 207-224.
    15. Wu, Wei & Lin, Boqiang, 2021. "Benefits of electric vehicles integrating into power grid," Energy, Elsevier, vol. 224(C).
    16. Weixing Liu & Hongtao Yi, 2020. "What Affects the Diffusion of New Energy Vehicles Financial Subsidy Policy? Evidence from Chinese Cities," IJERPH, MDPI, vol. 17(3), pages 1-15, January.
    17. Lu, Tianwei & Yao, Enjian & Jin, Fanglei & Yang, Yang, 2022. "Analysis of incentive policies for electric vehicle adoptions after the abolishment of purchase subsidy policy," Energy, Elsevier, vol. 239(PB).
    18. Liu, Chang & Liu, Yuan & Zhang, Dayong & Xie, Chunping, 2022. "The capital market responses to new energy vehicle (NEV) subsidies: An event study on China," Energy Economics, Elsevier, vol. 105(C).
    19. Neij, Lena & Nemet, Gregory, 2022. "Accelerating the low-carbon transition will require policy to enhance local learning," Energy Policy, Elsevier, vol. 167(C).
    20. Danhua Ouyang & Xunmin Ou & Qian Zhang & Changgui Dong, 2020. "Factors influencing purchase of electric vehicles in China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(3), pages 413-440, March.
    21. Jiang, Hong-Dian & Xue, Mei-Mei & Liang, Qiao-Mei & Masui, Toshihiko & Ren, Zhong-Yuan, 2022. "How do demand-side policies contribute to the electrification and decarburization of private transportation in China? A CGE-based analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    22. Jacobus Nel & Roula Inglesi-Lotz, 2022. "Electric Vehicles Market and Policy Conditions: Identifying South African Policy ``Potholes"," Working Papers 202257, University of Pretoria, Department of Economics.
    23. Martin Kalthaus & Jiatang Sun, 2021. "Determinants of Electric Vehicle Diffusion in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(3), pages 473-510, November.
    24. Austmann, Leonhard M., 2021. "Drivers of the electric vehicle market: A systematic literature review of empirical studies," Finance Research Letters, Elsevier, vol. 41(C).
    25. Kondev, Bozhil & Dixon, James & Zhou, Zhaoqi & Sabyrbekov, Rahat & Sultanaliev, Kanat & Hirmer, Stephanie A., 2023. "Putting the foot down: Accelerating EV uptake in Kyrgyzstan," Transport Policy, Elsevier, vol. 131(C), pages 87-96.
    26. Li, Jingjing & Jiao, Jianling & Tang, Yunshu, 2020. "Analysis of the impact of policies intervention on electric vehicles adoption considering information transmission—based on consumer network model," Energy Policy, Elsevier, vol. 144(C).
    27. Jinru Wang & Zhenwu Shi & Jie Liu & Hongrui Zhang, 2023. "Promoting “NEVs Pilot Policy” as an Effective Way for Reducing Urban Transport Carbon Emissions: Empirical Evidence from China," Sustainability, MDPI, vol. 15(14), pages 1-24, July.
    28. Wang, Kunlun & Zheng, Leven J. & Zhang, Justin Zuopeng & Yao, Hongjiang, 2022. "The impact of promoting new energy vehicles on carbon intensity: Causal evidence from China," Energy Economics, Elsevier, vol. 114(C).
    29. Li, Lixu & Wang, Zhiqiang & Xie, Xiaoqing, 2022. "From government to market? A discrete choice analysis of policy instruments for electric vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 143-159.
    30. Wen, W. & Yang, S. & Zhou, P. & Gao, S.Z., 2021. "Impacts of COVID-19 on the electric vehicle industry: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    31. Chen, Rongkai & Fan, Ruguo & Wang, Dongxue & Yao, Qianyi, 2023. "Effects of multiple incentives on electric vehicle charging infrastructure deployment in China: An evolutionary analysis in complex network," Energy, Elsevier, vol. 264(C).
    32. Rachana Vidhi & Prasanna Shrivastava & Abhishek Parikh, 2021. "Social and Technological Impact of Businesses Surrounding Electric Vehicles," Clean Technol., MDPI, vol. 3(1), pages 1-17, February.
    33. Chi, Yuan-Ying & Wang, Yuan-Yuan & Xu, Jin-Hua, 2021. "Estimating the impact of the license plate quota policy for ICEVs on new energy vehicle adoption by using synthetic control method," Energy Policy, Elsevier, vol. 149(C).
    34. Wang, Xiao-Wu & Cao, Yu-Mei & Zhang, Ning, 2021. "The influences of incentive policy perceptions and consumer social attributes on battery electric vehicle purchase intentions," Energy Policy, Elsevier, vol. 151(C).
    35. Qiu, Y.Q. & Tsan Sheng Ng, Adam & Zhou, P., 2022. "Optimizing urban electric vehicle incentive policy mixes in China: Perspective of residential preference heterogeneity," Applied Energy, Elsevier, vol. 313(C).

  36. Liu, Bingquan & Shi, Junxue & Wang, Hui & Su, Xuelin & Zhou, Peng, 2019. "Driving factors of carbon emissions in China: A joint decomposition approach based on meta-frontier," Applied Energy, Elsevier, vol. 256(C).

    Cited by:

    1. Li, Ding & Gao, Ming & Hou, Wenxuan & Song, Malin & Chen, Jiandong, 2020. "A modified and improved method to measure economy-wide carbon rebound effects based on the PDA-MMI approach," Energy Policy, Elsevier, vol. 147(C).
    2. Ying Sun & Long Qian & Zhi Liu, 2022. "The carbon emissions level of China’s service industry: an analysis of characteristics and influencing factors," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13557-13582, December.
    3. Wen, Le & Guang, Fengtao & Sharp, Basil, 2021. "Dynamics in Aotearoa New Zealand’s energy consumption between 2006/2007 and 2012/2013," Energy, Elsevier, vol. 225(C).
    4. Wang, Jianda & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Decoupling and decomposition analysis of investments and CO2 emissions in information and communication technology sector," Applied Energy, Elsevier, vol. 302(C).
    5. Chen, Changhua & Luo, Yuqing & Zou, Hong & Huang, Junbing, 2023. "Understanding the driving factors and finding the pathway to mitigating carbon emissions in China's Yangtze River Delta region," Energy, Elsevier, vol. 278(PB).
    6. Zhang, Yue-Jun & Cheng, Hao-Sen, 2021. "The impact mechanism of the ETS on CO2 emissions from the service sector: Evidence from Beijing and Shanghai," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    7. Lin, Boqiang & Wang, Miao, 2021. "What drives energy intensity fall in China? Evidence from a meta-frontier approach," Applied Energy, Elsevier, vol. 281(C).
    8. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    9. Xiaolei Liu & Heng Chen & Cheng Peng & Mingqiu Li, 2022. "Assessing the Drivers of Carbon Intensity Change in China: A Dynamic Spatial–Temporal Production-Theoretical Decomposition Analysis Approach," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    10. Dong, Jia & Li, Cunbin, 2022. "Scenario prediction and decoupling analysis of carbon emission in Jiangsu Province, China," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    11. Shimei Weng & Jianbao Chen, 2023. "How Does Industrial Upgrading Affect Carbon Productivity in China’s Service Industry?," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    12. Kuokuo Zhao & Xuezhu Cui & Zhanhang Zhou & Peixuan Huang & Dongliang Li, 2021. "Exploring the Dependence and Influencing Factors of Carbon Emissions from the Perspective of Population Development," IJERPH, MDPI, vol. 18(21), pages 1-20, October.
    13. Yumeng Mao & Xuemei Li, 2023. "A Review of Research on the Impact Mechanisms of Green Development in the Transportation Industry," Sustainability, MDPI, vol. 15(23), pages 1-26, December.
    14. Wang, Yaxian & Zhao, Zhenli & Wang, Wenju & Streimikiene, Dalia & Balezentis, Tomas, 2023. "Interplay of multiple factors behind decarbonisation of thermal electricity generation: A novel decomposition model," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    15. Wang, Yizhong & Hang, Ye & Jeong, Sujong & Wang, Qunwei, 2023. "Intersectoral transfers and drivers of net CO2 emissions in China incorporating sources and sinks," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    16. Yan, Ran & Ma, Minda & Zhou, Nan & Feng, Wei & Xiang, Xiwang & Mao, Chao, 2023. "Towards COP27: Decarbonization patterns of residential building in China and India," Applied Energy, Elsevier, vol. 352(C).

  37. Zhou, P. & Yin, P.T., 2019. "An opportunistic condition-based maintenance strategy for offshore wind farm based on predictive analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 1-9.

    Cited by:

    1. Jichuan Kang & Zihao Wang & C. Guedes Soares, 2020. "Condition-Based Maintenance for Offshore Wind Turbines Based on Support Vector Machine," Energies, MDPI, vol. 13(14), pages 1-17, July.
    2. Li, Yaping & Xia, Tangbin & Chen, Zhen & Pan, Ershun, 2023. "Multiple degradation-driven preventive maintenance policy for serial-parallel multi-station manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    3. Fallahi, F. & Bakir, I. & Yildirim, M. & Ye, Z., 2022. "A chance-constrained optimization framework for wind farms to manage fleet-level availability in condition based maintenance and operations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    4. Zhan, Jun & Wu, Chengkun & Yang, Canqun & Miao, Qiucheng & Wang, Shilin & Ma, Xiandong, 2022. "Condition monitoring of wind turbines based on spatial-temporal feature aggregation networks," Renewable Energy, Elsevier, vol. 200(C), pages 751-766.
    5. Bakir, I. & Yildirim, M. & Ursavas, E., 2021. "An integrated optimization framework for multi-component predictive analytics in wind farm operations & maintenance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    6. Li, Mingxin & Jiang, Xiaoli & Carroll, James & Negenborn, Rudy R., 2023. "A closed-loop maintenance strategy for offshore wind farms: Incorporating dynamic wind farm states and uncertainty-awareness in decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    7. Wang, Yifei & He, Rui & Tian, Zhigang, 2023. "Opportunistic condition-based maintenance optimization for electrical distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    8. Azar, Kamyar & Hajiakhondi-Meybodi, Zohreh & Naderkhani, Farnoosh, 2022. "Semi-supervised clustering-based method for fault diagnosis and prognosis: A case study," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    9. Ren, Zhengru & Verma, Amrit Shankar & Li, Ye & Teuwen, Julie J.E. & Jiang, Zhiyu, 2021. "Offshore wind turbine operations and maintenance: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    10. He, Rui & Tian, Zhigang & Wang, Yifei & Zuo, Mingjian & Guo, Ziwei, 2023. "Condition-based maintenance optimization for multi-component systems considering prognostic information and degraded working efficiency," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    11. Zhou, Xiaojun & Ning, Xiaohan, 2021. "Maintenance gravity window based opportunistic maintenance scheduling for multi-unit serial systems with stochastic production waits," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    12. Mario Vieira & Brian Snyder & Elsa Henriques & Craig White & Luis Reis, 2023. "Economic Viability of Implementing Structural Health Monitoring Systems on the Support Structures of Bottom-Fixed Offshore Wind," Energies, MDPI, vol. 16(13), pages 1-20, June.
    13. Li, Mingxin & Jiang, Xiaoli & Carroll, James & Negenborn, Rudy R., 2022. "A multi-objective maintenance strategy optimization framework for offshore wind farms considering uncertainty," Applied Energy, Elsevier, vol. 321(C).
    14. Nguyen, Thi-Anh-Tuyet & Chou, Shuo-Yan & Yu, Tiffany Hui-Kuang, 2022. "Developing an exhaustive optimal maintenance schedule for offshore wind turbines based on risk-assessment, technical factors and cost-effective evaluation," Energy, Elsevier, vol. 249(C).
    15. McMorland, J. & Collu, M. & McMillan, D. & Carroll, J. & Coraddu, A., 2023. "Opportunistic maintenance for offshore wind: A review and proposal of future framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).

  38. Chen, Huayi & Zhou, P., 2019. "Modeling systematic technology adoption: Can one calibrated representative agent represent heterogeneous agents?," Omega, Elsevier, vol. 89(C), pages 257-270.

    Cited by:

    1. Chen, Huayi & Ma, Tieju, 2021. "Technology adoption and carbon emissions with dynamic trading among heterogeneous agents," Energy Economics, Elsevier, vol. 99(C).
    2. Fang, Chenhao & Ma, Tieju, 2020. "Stylized agent-based modeling on linking emission trading systems and its implications for China's practice," Energy Economics, Elsevier, vol. 92(C).

  39. L. P. Zhang & P. Zhou, 2019. "Reassessment of global climate risk: non-compensatory or compensatory?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 271-287, January.

    Cited by:

    1. Zhihua Ding & Jy S. Wu & Xunpeng Shi & Qunwei Wang, 2019. "Energy economy system and risk management: a contribution toward China meeting its goals for the Paris climate accord," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 1-5, January.
    2. Kiridaran Kanagaretnam & Gerald Lobo & Lei Zhang, 2022. "Relationship Between Climate Risk and Physical and Organizational Capital," Management International Review, Springer, vol. 62(2), pages 245-283, April.

  40. Na Duan & Jun-Peng Guo & Peng Zhou & Bai-Chen Xie, 2019. "The impacts of the coal-electricity price linkage on the profit efficiency of China’s thermal power plants," International Journal of Production Research, Taylor & Francis Journals, vol. 57(23), pages 7457-7470, December.

    Cited by:

    1. Lijing Zhang & Shuke Fu & Jiali Tian & Jiachao Peng, 2022. "A Review of Energy Industry Chain and Energy Supply Chain," Energies, MDPI, vol. 15(23), pages 1-21, December.

  41. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.

    Cited by:

    1. Chu, Junfei & Shao, Caifeng & Emrouznejad, Ali & Wu, Jie & Yuan, Zhe, 2021. "Performance evaluation of organizations considering economic incentives for emission reduction: A carbon emission permit trading approach," Energy Economics, Elsevier, vol. 101(C).
    2. Jiandong Chen & Chong Xu & Yinyin Wu & Zihao Li & Malin Song, 2022. "Drivers and trajectories of China’s renewable energy consumption," Annals of Operations Research, Springer, vol. 313(1), pages 441-459, June.
    3. Xilian Wang & Lihang Qu & Yueying Wang & Helin Xie, 2023. "Dynamic Scenario Predictions of Peak Carbon Emissions in China’s Construction Industry," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    4. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).
    5. Lizhan Cao & Hui Wang, 2022. "The Slowdown in China’s Energy Consumption Growth in the “New Normal” Stage: From Both National and Regional Perspectives," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    6. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    7. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    8. Chen, Jiandong & Xu, Chong & Huang, Shuo & Shen, Zhiyang & Song, Malin & Wang, Shiqi, 2022. "Adjusted carbon intensity in China: Trend, driver, and network," Energy, Elsevier, vol. 251(C).
    9. Xu, Chong & Wang, Bingjie & Chen, Jiandong & Shen, Zhiyang & Song, Malin & An, Jiafu, 2022. "Carbon inequality in China: Novel drivers and policy driven scenario analysis," Energy Policy, Elsevier, vol. 170(C).
    10. Huo, Tengfei & Cong, Xiaobo & Cheng, Cong & Cai, Weiguang & Zuo, Jian, 2023. "What is the driving mechanism for the carbon emissions in the building sector? An integrated DEMATEL-ISM model," Energy, Elsevier, vol. 274(C).
    11. Prantik Bagchi & Santosh Kumar Sahu & Ajay Kumar & Kim Hua Tan, 2022. "Analysis of carbon productivity for firms in the manufacturing sector of India," Post-Print hal-03628401, HAL.
    12. Huo, Tengfei & Xu, Linbo & Feng, Wei & Cai, Weiguang & Liu, Bingsheng, 2021. "Dynamic scenario simulations of carbon emission peak in China's city-scale urban residential building sector through 2050," Energy Policy, Elsevier, vol. 159(C).
    13. Zhou, Xun & Kuosmanen, Timo, 2020. "What drives decarbonization of new passenger cars?," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1043-1057.
    14. Yunfei An & Dequn Zhou & Qunwei Wang, 2022. "Carbon emission reduction potential and its influencing factors in China’s coal-fired power industry: a cost optimization and decomposition analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3619-3639, March.
    15. Ye, Li & Yang, Deling & Dang, Yaoguo & Wang, Junjie, 2022. "An enhanced multivariable dynamic time-delay discrete grey forecasting model for predicting China's carbon emissions," Energy, Elsevier, vol. 249(C).
    16. H. Wang & Chen Pan & P. Zhou, 2019. "Assessing the Role of Domestic Value Chains in China’s CO2 Emission Intensity: A Multi-Region Structural Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 865-890, October.
    17. Robi Kurniawan & Gregory P. Trencher & Achmed S. Edianto & Imam E. Setiawan & Kazuyo Matsubae, 2020. "Understanding the Multi-Faceted Drivers of Increasing Coal Consumption in Indonesia," Energies, MDPI, vol. 13(14), pages 1-22, July.
    18. Haseeb, Muhammad & Haouas, Ilham & Nasih, Mohammad & Mihardjo, Leonardus WW. & Jermsittiparsert, Kittisak, 2020. "Asymmetric impact of textile and clothing manufacturing on carbon-dioxide emissions: Evidence from top Asian economies," Energy, Elsevier, vol. 196(C).

  42. Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2018. "Understanding the determinants of travel mode choice of residents and its carbon mitigation potential," Energy Policy, Elsevier, vol. 115(C), pages 486-493.

    Cited by:

    1. Kevin Credit & Zander Arnao, 2023. "A method to derive small area estimates of linked commuting trips by mode from open source LODES and ACS data," Environment and Planning B, , vol. 50(3), pages 709-722, March.
    2. Jing Li & Yongbo Lv & Jihui Ma & Yuan Ren, 2019. "Factor Analysis of Customized Bus Attraction to Commuters with Different Travel Modes," Sustainability, MDPI, vol. 11(24), pages 1-13, December.
    3. Hao, Jingjing & Zhang, Ling & Ji, Xiaofeng & Tang, Jinjun, 2020. "Modeling and analyzing of family intention for the customized student routes: A case study in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    4. Zhesong Hao & Ying Peng, 2022. "Comparing Nonlinear and Threshold Effects of Bus Stop Proximity on Transit Use and Carbon Emissions in Developing Cities," Land, MDPI, vol. 12(1), pages 1-21, December.
    5. Ha, Jaehyun & Lee, Sugie & Ko, Joonho, 2020. "Unraveling the impact of travel time, cost, and transit burdens on commute mode choice for different income and age groups," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 147-166.
    6. Jindo Jeong & Jiwon Lee & Tae‐Hyoung Tommy Gim, 2022. "Travel mode choice as a representation of travel utility: A multilevel approach reflecting the hierarchical structure of trip, individual, and neighborhood characteristics," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 745-765, June.
    7. Li, Xi & Zhang, Runsen & Chen, Jundong & Jiang, Yida & Zhang, Qiong & Long, Yin, 2021. "Urban-scale carbon footprint evaluation based on citizen travel demand in Japan," Applied Energy, Elsevier, vol. 286(C).
    8. Bi, Hui & Ye, Zhirui & Hu, Liyang & Zhu, He, 2021. "Why they don't choose bus service? Understanding special online car-hailing behavior near bus stops," Transport Policy, Elsevier, vol. 114(C), pages 280-297.
    9. Zhou, Heng & Norman, Richard & Xia, Jianhong(Cecilia) & Hughes, Brett & Kelobonye, Keone & Nikolova, Gabi & Falkmer, Torbjorn, 2020. "Analysing travel mode and airline choice using latent class modelling: A case study in Western Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 187-205.
    10. Rui Zhao & Linchuan Yang & Xinrong Liang & Yuanyuan Guo & Yi Lu & Yixuan Zhang & Xinyun Ren, 2019. "Last-Mile Travel Mode Choice: Data-Mining Hybrid with Multiple Attribute Decision Making," Sustainability, MDPI, vol. 11(23), pages 1-15, November.
    11. Fanying Zheng & Fu Gu & Wujie Zhang & Jianfeng Guo, 2019. "Is Bicycle Sharing an Environmental Practice? Evidence from a Life Cycle Assessment Based on Behavioral Surveys," Sustainability, MDPI, vol. 11(6), pages 1-25, March.
    12. Enhui Chen & Zhirui Ye & Hui Bi, 2019. "Incorporating Smart Card Data in Spatio-Temporal Analysis of Metro Travel Distances," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
    13. Zijia Wang & Juanjuan Ding & Lichang Wang & Ziqiang Zhu, 2022. "Ex-ante and ex-post approaches of evaluating carbon emission reduction in urban rail transit," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(7), pages 1-21, October.
    14. Lin, Boqiang & Wang, Xia, 2021. "Does low-carbon travel intention really lead to actual low-carbon travel? Evidence from urban residents in China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 743-756.
    15. Zhou, Heng & Norman, Richard & Kelobonye, Keone & Xia, Jianhong (Cecilia) & Hughes, Brett & Nikolova, Gabi & Falkmer, Torbjorn, 2020. "Market segmentation approach to investigate existing and potential aviation markets," Transport Policy, Elsevier, vol. 99(C), pages 120-135.
    16. Pengfei Zhao & Lingxiang Wei & Dong Pan & Jincheng Yang & Yuchuan Ji, 2023. "Analysis of Key Factors Affecting Low-Carbon Travel Behaviors of Urban Residents in Developing Countries: A Case Study in Zhenjiang, China," Sustainability, MDPI, vol. 15(6), pages 1-16, March.

  43. Zhang, L.P. & Zhou, P., 2018. "A non-compensatory composite indicator approach to assessing low-carbon performance," European Journal of Operational Research, Elsevier, vol. 270(1), pages 352-361.

    Cited by:

    1. Juan Yin & Jin Guo, 2022. "Ecological Effect Assessment of Low-Carbon City Construction in China," IJERPH, MDPI, vol. 19(21), pages 1-19, November.
    2. Gao, Shuaizhi & Zhou, Peng & Zhang, Hongyan, 2023. "Does energy transition help narrow the urban-rural income gap? Evidence from China," Energy Policy, Elsevier, vol. 182(C).
    3. Janová, Jitka & Hampel, David & Nerudová, Danuše, 2019. "Design and validation of a tax sustainability index," European Journal of Operational Research, Elsevier, vol. 278(3), pages 916-926.
    4. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2021. "The ordinal input for cardinal output approach of non-compensatory composite indicators: the PROMETHEE scoring method," European Journal of Operational Research, Elsevier, vol. 288(1), pages 225-246.
    5. Fusco, Elisa & Maggi, Bernardo & Rizzuto, Livia, 2022. "Alternative indicators for the evaluation of renewables in Europe: An efficiency approach," Renewable Energy, Elsevier, vol. 190(C), pages 48-65.
    6. Wang, Wenya & Fan, L.W. & Zhou, P., 2022. "Evolution of global fossil fuel trade dependencies," Energy, Elsevier, vol. 238(PC).
    7. Cai, Bofeng & Guo, Huanxiu & Ma, Zipeng & Wang, Zhixuan & Dhakal, Shobhakar & Cao, Libin, 2019. "Benchmarking carbon emissions efficiency in Chinese cities: A comparative study based on high-resolution gridded data," Applied Energy, Elsevier, vol. 242(C), pages 994-1009.
    8. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2019. "The Ordinal Input for Cardinal Output Approach of Non-compensatory Composite Indicators: The PROMETHEE Scoring Method," MPRA Paper 95816, University Library of Munich, Germany.
    9. Sun, Jie & Zhou, P. & Wen, Wen, 2022. "Assessing the regional adaptive capacity to renewable portfolio standard policy in China," Energy Policy, Elsevier, vol. 162(C).
    10. Beatriz Valcárcel-Aguiar & Pilar Murias & Alexandre Vecino-Aguirre, 2022. "Liveability Versus Sustainability in Spanish Cities: First Evidences Using Synthetic Indicators," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(4), pages 1935-1960, August.
    11. Tianjiao Wang & Yelin Fu, 2020. "Constructing Composite Indicators with Individual Judgements and Best–Worst Method: An Illustration of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 1-14, May.
    12. Zhang, Shuo & Yu, Yadong & Kharrazi, Ali & Ren, Hongtao & Ma, Tieju, 2022. "How can structural change contribute to concurrent sustainability policy targets on GDP, emissions, energy, and employment in China?," Energy, Elsevier, vol. 256(C).
    13. Aijun Liu & Qiuyun Zhu & Xiaohui Ji & Hui Lu & Sang-Bing Tsai, 2018. "Novel Method for Perceiving Key Requirements of Customer Collaboration Low-Carbon Product Design," IJERPH, MDPI, vol. 15(7), pages 1-32, July.
    14. Longyu Shi & Xueqin Xiang & Wei Zhu & Lijie Gao, 2018. "Standardization of the Evaluation Index System for Low-Carbon Cities in China: A Case Study of Xiamen," Sustainability, MDPI, vol. 10(10), pages 1-20, October.
    15. L. P. Zhang & P. Zhou, 2019. "Reassessment of global climate risk: non-compensatory or compensatory?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 271-287, January.
    16. Yuan, Qianqian & Fang Chin Cheng, Charles & Wang, Jiayu & Zhu, Tian-Tian & Wang, Ke, 2020. "Inclusive and sustainable industrial development in China: An efficiency-based analysis for current status and improving potentials," Applied Energy, Elsevier, vol. 268(C).
    17. Yongjiao Wu & Huazhu Zheng & Yu Li & Claudio O. Delang & Jiao Qian, 2021. "Carbon Productivity and Mitigation: Evidence from Industrial Development and Urbanization in the Central and Western Regions of China," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    18. Fernando, Yudi & Rozuar, Nor Hazwani Mohd & Mergeresa, Fineke, 2021. "The blockchain-enabled technology and carbon performance: Insights from early adopters," Technology in Society, Elsevier, vol. 64(C).

  44. Jin, Jingliang & Zhou, Peng & Zhang, Mingming & Yu, Xianyu & Din, Hao, 2018. "Balancing low-carbon power dispatching strategy for wind power integrated system," Energy, Elsevier, vol. 149(C), pages 914-924.

    Cited by:

    1. Zhang, Gang & Wen, Jiaxing & Xie, Tuo & Zhang, Kaoshe & Jia, Rong, 2023. "Bi-layer economic scheduling for integrated energy system based on source-load coordinated carbon reduction," Energy, Elsevier, vol. 280(C).
    2. Cheng, Xiu & Long, Ruyin & Wu, Fan & Geng, Jichao & Yang, Jiameng, 2023. "How social interaction shapes habitual and occasional low-carbon consumption behaviors: Evidence from ten cities in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    3. Zhao, Shihao & Li, Kang & Yang, Zhile & Xu, Xinzhi & Zhang, Ning, 2022. "A new power system active rescheduling method considering the dispatchable plug-in electric vehicles and intermittent renewable energies," Applied Energy, Elsevier, vol. 314(C).
    4. Mou, Dunguo & He, Xiaoping, 2019. "Developing large-scale energy storage to alleviate a low-carbon energy bubble," Energy Policy, Elsevier, vol. 132(C), pages 62-74.
    5. Meng, Fanyi & Bai, Yang & Jin, Jingliang, 2021. "An advanced real-time dispatching strategy for a distributed energy system based on the reinforcement learning algorithm," Renewable Energy, Elsevier, vol. 178(C), pages 13-24.
    6. XU Jianzhong & Albina Assenova & Vasilii Erokhin, 2018. "Renewable Energy and Sustainable Development in a Resource-Abundant Country: Challenges of Wind Power Generation in Kazakhstan," Sustainability, MDPI, vol. 10(9), pages 1-21, September.
    7. Samal, Rajat Kanti & Tripathy, M., 2019. "A novel distance metric for evaluating impact of wind integration on power systems," Renewable Energy, Elsevier, vol. 140(C), pages 722-736.
    8. Wang, Bangyan & Wang, Xiuli & Wei, Fengting & Shao, Chengcheng & Zhou, Jiahao & Lin, Jintian, 2023. "Multi-stage stochastic planning for a long-term low-carbon transition of island power system considering carbon price uncertainty and offshore wind power," Energy, Elsevier, vol. 282(C).
    9. Yang, Wenqiang & Zhu, Xinxin & Xiao, Qinge & Yang, Zhile, 2023. "Enhanced multi-objective marine predator algorithm for dynamic economic-grid fluctuation dispatch with plug-in electric vehicles," Energy, Elsevier, vol. 282(C).

  45. Mohsin, M. & Zhou, P. & Iqbal, N. & Shah, S.A.A., 2018. "Assessing oil supply security of South Asia," Energy, Elsevier, vol. 155(C), pages 438-447.

    Cited by:

    1. Vivoda, Vlado, 2022. "LNG export diversification and demand security: A comparative study of major exporters," Energy Policy, Elsevier, vol. 170(C).
    2. Yao, Zhigang & Liu, Yao, 2023. "How Covid-19 impacts the financing in SMEs: Evidence from private firms," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 1046-1056.
    3. Li, Jinchao & Wang, Lina & Lin, Xiaoshan & Qu, Shen, 2020. "Analysis of China’s energy security evaluation system: Based on the energy security data from 30 provinces from 2010 to 2016," Energy, Elsevier, vol. 198(C).
    4. Shahzad, Umer & Gupta, Mansi & Sharma, Gagan Deep & Rao, Amar & Chopra, Ritika, 2022. "Resolving energy poverty for social change: Research directions and agenda," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    5. Yuan, Meng & Zhang, Haoran & Wang, Bohong & Huang, Liqiao & Fang, Kai & Liang, Yongtu, 2020. "Downstream oil supply security in China: Policy implications from quantifying the impact of oil import disruption," Energy Policy, Elsevier, vol. 136(C).
    6. Gong, Chengzhu & Gong, Nianjiao & Qi, Rui & Yu, Shiwei, 2020. "Assessment of natural gas supply security in Asia Pacific: Composite indicators with compromise Benefit-of-the-Doubt weights," Resources Policy, Elsevier, vol. 67(C).
    7. Li, ChangZheng & Umair, Muhammad, 2023. "Does green finance development goals affects renewable energy in China," Renewable Energy, Elsevier, vol. 203(C), pages 898-905.
    8. Ming Fang & Chiu-Lan Chang, 2022. "Nexus between fiscal imbalances, green fiscal spending, and green economic growth: empirical findings from E-7 economies," Economic Change and Restructuring, Springer, vol. 55(4), pages 2423-2443, November.
    9. Rasoulinezhad, Ehsan & Taghizadeh-Hesary, Farhad & Yoshino, Naoyuki & Sarker, Tapan, 2019. "Russian Federation–East Asia Liquefied Natural Gas Trade Patterns and Regional Energy Security," ADBI Working Papers 965, Asian Development Bank Institute.
    10. Zhao, Xiaochun & Jiang, Mei & Wu, Zijun & Zhou, Ying, 2023. "Quantitative evaluation of China's energy security policy under the background of intensifying geopolitical conflicts: Based on PMC model," Resources Policy, Elsevier, vol. 85(PA).
    11. Alola, Andrew Adewale & Özkan, Oktay & Obekpa, Hephzibah Onyeje, 2023. "Examining the patterns of disaggregate energy security risk and crude oil price: the USA scenario over 1970–2040," Resources Policy, Elsevier, vol. 82(C).
    12. Mohsin, Muhammad & Ullah, Hafeez & Iqbal, Nadeem & Iqbal, Wasim & Taghizadeh-Hesary, Farhad, 2021. "How external debt led to economic growth in South Asia: A policy perspective analysis from quantile regression," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 423-437.
    13. Zhang, Ziwei & Fu, Hu & Xie, Shiqi & Cifuentes-Faura, Javier & Urinov, Bobur, 2023. "Role of green finance and regional environmental efficiency in China," Renewable Energy, Elsevier, vol. 214(C), pages 407-415.
    14. Pin Li & Jin-Suo Zhang, 2018. "A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost," Energies, MDPI, vol. 11(7), pages 1-28, June.
    15. Pin Li & Jinsuo Zhang, 2019. "Is China’s Energy Supply Sustainable? New Research Model Based on the Exponential Smoothing and GM(1,1) Methods," Energies, MDPI, vol. 12(2), pages 1-30, January.
    16. Song, Zhouying & Zhu, Qiaoling & Han, Mengyao, 2021. "Tele-connection of global crude oil network: Comparisons between direct trade and embodied flows," Energy, Elsevier, vol. 217(C).
    17. Song, Yixuan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market volatility: A newspaper-based predictor regarding petroleum market volatility," Resources Policy, Elsevier, vol. 79(C).
    18. Wang, Jiacheng & Yang, Jianchao & Yang, Li, 2023. "Do natural resources play a role in economic development? Role of institutional quality, trade openness, and FDI," Resources Policy, Elsevier, vol. 81(C).
    19. Cui, Jinxin & Maghyereh, Aktham, 2023. "Time-frequency dependence and connectedness among global oil markets: Fresh evidence from higher-order moment perspective," Journal of Commodity Markets, Elsevier, vol. 30(C).
    20. Zhang, Yong & Liu, Zhen & Baloch, Zulfiqar Ali, 2022. "Combining effects of private participation and green finance for renewable energy: Growth of economy as mediating tool," Renewable Energy, Elsevier, vol. 195(C), pages 1028-1036.
    21. Zhang, Dangli & Narbaev, Timur & Cheng, Jiexian & Aliyeva, Abuhayat, 2023. "How natural resources collaboration affects the pollutants level and economic growth: Novel evidence from China," Resources Policy, Elsevier, vol. 85(PA).
    22. Gyanwali, Khem & Komiyama, Ryoichi & Fujii, Yasumasa, 2020. "Representing hydropower in the dynamic power sector model and assessing clean energy deployment in the power generation mix of Nepal," Energy, Elsevier, vol. 202(C).
    23. Tiep, Nguyen Cong & Wang, Mengqi & Mohsin, Muhammad & Kamran, Hafiz Waqas & Yazdi, Farzaneh Ahmadian, 2021. "An assessment of power sector reforms and utility performance to strengthen consumer self-confidence towards private investment," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 676-689.
    24. Zhang, Dongyang & Mohsin, Muhammad & Rasheed, Abdul Khaliq & Chang, Youngho & Taghizadeh-Hesary, Farhad, 2021. "Public spending and green economic growth in BRI region: Mediating role of green finance," Energy Policy, Elsevier, vol. 153(C).
    25. Zulfiqar Ali Baloch & Qingmei Tan & Hafiz Waqas Kamran & Muhammad Atif Nawaz & Gadah Albashar & Javaria Hameed, 2022. "A multi-perspective assessment approach of renewable energy production: policy perspective analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2164-2192, February.
    26. Ahmet Faruk Aysan & Ali Polat & Hasan Tekin & Ahmet Tunali, 2022. "The Ascent of Geopolitics: Scientometric Analysis and Ramifications of Geopolitical Risk," Working Papers hal-03638273, HAL.
    27. Xiumei Xu & Ruolan Jing & Feifei Lu, 2022. "Environmental Regulation, Corporate Social Responsibility (CSR) Disclosure and Enterprise Green Innovation: Evidence from Listed Companies in China," IJERPH, MDPI, vol. 19(22), pages 1-24, November.
    28. Kamyk, Jarosław & Kot-Niewiadomska, Alicja & Galos, Krzysztof, 2021. "The criticality of crude oil for energy security: A case of Poland," Energy, Elsevier, vol. 220(C).
    29. Huaping Sun & Rehmat Ullah Awan & Muhammad Atif Nawaz & Muhammad Mohsin & Abdul Khaliq Rasheed & Nadeem Iqbal, 2021. "Assessing the socio-economic viability of solar commercialization and electrification in south Asian countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 9875-9897, July.
    30. Zhang, Rongxin & Aljumah, Ahmad Ibrahim & Ghardallou, Wafa & Li, Zeyun & Li, Jinhua & Cifuentes-Faura, Javier, 2023. "How economic development promotes the sustainability targets? Role of natural resources utilization," Resources Policy, Elsevier, vol. 85(PA).
    31. Xu, Zilin & Mohsin, Muhammad & Ullah, Kaleem & Ma, Xiaoyu, 2023. "Using econometric and machine learning models to forecast crude oil prices: Insights from economic history," Resources Policy, Elsevier, vol. 83(C).
    32. Longsheng, Cheng & Ali Shah, Syed Ahsan & Solangi, Yasir Ahmed & Ahmad, Munir & Ali, Sharafat, 2022. "An integrated SWOT-multi-criteria analysis of implementing sustainable waste-to-energy in Pakistan," Renewable Energy, Elsevier, vol. 195(C), pages 1438-1453.
    33. Yeltsin Tafur & Eric Lilford & Roberto F. Aguilera, 2022. "Assessing the risk of foreign investment within the petroleum sector of South America," SN Business & Economics, Springer, vol. 2(6), pages 1-32, June.
    34. Wang, Kai-Hua & Su, Chi-Wei & Umar, Muhammad, 2021. "Geopolitical risk and crude oil security: A Chinese perspective," Energy, Elsevier, vol. 219(C).
    35. Zhang, Ling & Berk Saydaliev, Hayot & Ma, Xiaoyu, 2022. "Does green finance investment and technological innovation improve renewable energy efficiency and sustainable development goals," Renewable Energy, Elsevier, vol. 193(C), pages 991-1000.
    36. Liu, Zhen & Tang, Yuk Ming & Chau, Ka Yin & Chien, Fengsheng & Iqbal, Wasim & Sadiq, Muhammad, 2021. "Incorporating strategic petroleum reserve and welfare losses: A way forward for the policy development of crude oil resources in South Asia," Resources Policy, Elsevier, vol. 74(C).
    37. Ma, Cong & Cheok, Mui Yee & Chok, Nyen Vui, 2023. "Economic recovery through multisector management resources in small and medium businesses in China," Resources Policy, Elsevier, vol. 80(C).
    38. Yang, Yang & Liu, Zhen & Saydaliev, Hayot Berk & Iqbal, Sajid, 2022. "Economic impact of crude oil supply disruption on social welfare losses and strategic petroleum reserves," Resources Policy, Elsevier, vol. 77(C).
    39. Fengsheng Chien & Hafiz Waqas Kamran & Muhammad Atif Nawaz & Nguyen Ngoc Thach & Pham Dinh Long & Zulfiqar Ali Baloch, 2022. "Assessing the prioritization of barriers toward green innovation: small and medium enterprises Nexus," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1897-1927, February.
    40. Mo Chen & Rabia Bashir, 2022. "Role of e-commerce and resource utilization for sustainable business development: goal of economic recovery after Covid-19," Economic Change and Restructuring, Springer, vol. 55(4), pages 2663-2685, November.
    41. Ashfaq, Saleha & Tang, Yong & Maqbool, Rashid, 2023. "Insights of energy and its trade networking impacts on sustainable economic development," Energy, Elsevier, vol. 265(C).
    42. Ashfaq, Saleha & Tang, Yong & Maqbool, Rashid, 2019. "Volatility spillover impact of world oil prices on leading Asian energy exporting and importing economies’ stock returns," Energy, Elsevier, vol. 188(C).
    43. Wang, Zhe & Yao-Ping Peng, Michael & Anser, Muhammad Khalid & Chen, Zhong, 2023. "Research on the impact of green finance and renewable energy on energy efficiency: The case study E−7 economies," Renewable Energy, Elsevier, vol. 205(C), pages 166-173.
    44. Wang, Lu & Ma, Feng & Hao, Jianyang & Gao, Xinxin, 2021. "Forecasting crude oil volatility with geopolitical risk: Do time-varying switching probabilities play a role?," International Review of Financial Analysis, Elsevier, vol. 76(C).
    45. Hu, Bangyong & Guo, Man & Zhang, Shuwen, 2023. "The role of fiscal decentralization and natural resources markets in environmental sustainability in OECD," Resources Policy, Elsevier, vol. 85(PB).
    46. Li, Weiqing & Chien, Fengsheng & Ngo, Quang-Thanh & Nguyen, Tien-Dung & Iqbal, Sajid & Bilal, Ahmad Raza, 2021. "Vertical financial disparity, energy prices and emission reduction: Empirical insights from Pakistan," MPRA Paper 109672, University Library of Munich, Germany.
    47. Ashfaq, Saleha & Tang, Yong & Maqbool, Rashid, 2020. "Dynamics of spillover network among oil and leading Asian oil trading countries’ stock markets," Energy, Elsevier, vol. 207(C).
    48. Li, Junji & Wang, Rui & Aizhan, Duisebayeva & Karimzade, Mehriban, 2023. "Assessing the impacts of Covid-19 on stock exchange, gold prices, and financial markets: Fresh evidences from econometric analysis," Resources Policy, Elsevier, vol. 83(C).
    49. Gong, Xu & Sun, Yi & Du, Zhili, 2022. "Geopolitical risk and China's oil security," Energy Policy, Elsevier, vol. 163(C).
    50. Li, Weiqing & Chien, Fengsheng & Hsu, Ching-Chi & Zhang, YunQian & Nawaz, Muhammad Atif & Iqbal, Sajid & Mohsin, Muhammad, 2021. "Nexus between energy poverty and energy efficiency: Estimating the long-run dynamics," Resources Policy, Elsevier, vol. 72(C).
    51. Liu, Fang & Umair, Muhammad & Gao, Junjun, 2023. "Assessing oil price volatility co-movement with stock market volatility through quantile regression approach," Resources Policy, Elsevier, vol. 81(C).
    52. Sinha, Avik & Shah, Muhammad Ibrahim & Mehta, Atul & Sharma, Rajesh, 2022. "Impact of Energy Innovation on Greenhouse Gas Emissions: Moderation of Regional Integration and Social Inequality in Asian Economies," ADBI Working Papers 1304, Asian Development Bank Institute.
    53. Dong, Chunlong & Wu, Hao & Zhou, Jianwen & Lin, Huifang & Chang, Lei, 2023. "Role of renewable energy investment and geopolitical risk in green finance development: Empirical evidence from BRICS countries," Renewable Energy, Elsevier, vol. 207(C), pages 234-241.
    54. Zhang, Yonggang & Hyder, Mansoor & Baloch, Zulfiqar Ali & Qian, Chong & Berk Saydaliev, Hayot, 2022. "Nexus between oil price volatility and inflation: Mediating nexus from exchange rate," Resources Policy, Elsevier, vol. 79(C).
    55. Lu, Qingchang & Farooq, Muhammad Umar & Ma, Xiaoyu & Iram, Robina, 2022. "Assessing the combining role of public-private investment as a green finance and renewable energy in carbon neutrality target," Renewable Energy, Elsevier, vol. 196(C), pages 1357-1365.

  46. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.

    Cited by:

    1. Xianzhao Liu & Xu Yang & Ruoxin Guo, 2020. "Regional Differences in Fossil Energy-Related Carbon Emissions in China’s Eight Economic Regions: Based on the Theil Index and PLS-VIP Method," Sustainability, MDPI, vol. 12(7), pages 1-24, March.
    2. Weihua Su & Yuying Wang & Dalia Streimikiene & Tomas Balezentis & Chonghui Zhang, 2020. "Carbon dioxide emission decomposition along the gradient of economic development: The case of energy sustainability in the G7 and Brazil, Russia, India, China and South Africa," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 657-669, July.
    3. Gao, Shuaizhi & Zhou, Peng & Zhang, Hongyan, 2023. "Does energy transition help narrow the urban-rural income gap? Evidence from China," Energy Policy, Elsevier, vol. 182(C).
    4. Jana, Sebak Kumar & Lise, Wietze, 2023. "Carbon Emissions from Energy Use in India: Decomposition Analysis," MPRA Paper 117245, University Library of Munich, Germany.
    5. Jiaxing Pang & Hengji Li & Chengpeng Lu & Chenyu Lu & Xingpeng Chen, 2020. "Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China," IJERPH, MDPI, vol. 17(20), pages 1-14, October.
    6. Junliang Yang & Haiyan Shan, 2019. "Identifying Driving Factors of Jiangsu’s Regional Sulfur Dioxide Emissions: A Generalized Divisia Index Method," IJERPH, MDPI, vol. 16(20), pages 1-20, October.
    7. Chen, Lei & Xu, Linyu & Yang, Zhifeng, 2019. "Inequality of industrial carbon emissions of the urban agglomeration and its peripheral cities: A case in the Pearl River Delta, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 438-447.
    8. Behnam Ata & Parisa Pakrooh & Ayoub Barkat & Ramzi Benhizia & János Pénzes, 2022. "Inequalities in Regional Level Domestic CO 2 Emissions and Energy Use: A Case Study of Iran," Energies, MDPI, vol. 15(11), pages 1-26, May.
    9. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    10. Xu, Chong & Wang, Bingjie & Chen, Jiandong & Shen, Zhiyang & Song, Malin & An, Jiafu, 2022. "Carbon inequality in China: Novel drivers and policy driven scenario analysis," Energy Policy, Elsevier, vol. 170(C).
    11. Chen, Jiandong & Xu, Chong & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2019. "Driving factors of CO2 emissions and inequality characteristics in China: A combined decomposition approach," Energy Economics, Elsevier, vol. 78(C), pages 589-597.
    12. Meng Yang & Yisheng Liu & Jinzhao Tian & Feiyu Cheng & Pengbo Song, 2022. "Dynamic Evolution and Regional Disparity in Carbon Emission Intensity in China," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    13. Gong, Zhonghang & Wu, Yuqin & Tawiah, Vincent & Abdulrasheed, Zakari, 2023. "The environmental footprint of international business in Africa; The role of natural resources," Resources Policy, Elsevier, vol. 80(C).
    14. Guo, Ji & Zhao, Mengke & Wu, Xianhua & Shi, Beibei & Santibanez Gonzalez, Ernesto D.R., 2021. "Study on the distribution of PM emission rights in various provinces of China based on a new efficiency and equity two-objective DEA model," Ecological Economics, Elsevier, vol. 183(C).
    15. Haobo Chen & Shangyu Liu & Yaoqiu Kuang & Jie Shu & Zetao Ma, 2023. "Decomposition Analysis of Regional Electricity Consumption Drivers Considering Carbon Emission Constraints: A Comparison of Guangdong and Yunnan Provinces in China," Energies, MDPI, vol. 16(24), pages 1-25, December.
    16. Fan, Wei & Li, Li & Wang, Feiran & Li, Ding, 2020. "Driving factors of CO2 emission inequality in China: The role of government expenditure," China Economic Review, Elsevier, vol. 64(C).
    17. Wanbei Jiang & Weidong Liu, 2020. "Provincial-Level CO 2 Emissions Intensity Inequality in China: Regional Source and Explanatory Factors of Interregional and Intraregional Inequalities," Sustainability, MDPI, vol. 12(6), pages 1-16, March.

  47. Wen, Wen & Zhou, P. & Zhang, Fuqiang, 2018. "Carbon emissions abatement: Emissions trading vs consumer awareness," Energy Economics, Elsevier, vol. 76(C), pages 34-47.

    Cited by:

    1. Lin, Jin & Dong, Jun & Liu, Dongran & Zhang, Yaoyu & Ma, Tongtao, 2022. "From peak shedding to low-carbon transitions: Customer psychological factors in demand response," Energy, Elsevier, vol. 238(PA).
    2. Ying, Zhou & Xin-gang, Zhao, 2021. "The impact of Renewable Portfolio Standards on carbon emission trading under the background of China’s electricity marketization reform," Energy, Elsevier, vol. 226(C).
    3. Wanting Chen & Zhi-Hua Hu, 2020. "Analysis of Multi-Stakeholders’ Behavioral Strategies Considering Public Participation under Carbon Taxes and Subsidies: An Evolutionary Game Approach," Sustainability, MDPI, vol. 12(3), pages 1-26, January.
    4. Ouyang, Jianjun & Fu, Jie, 2023. "Energy-saving and subsidy policy decisions for double competition manufacturers," Energy Economics, Elsevier, vol. 117(C).
    5. Dongdong Li, 2022. "Dynamic optimal control of firms' green innovation investment and pricing strategies with environmental awareness and emission tax," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 920-932, June.
    6. Sim, Jeongeun & Kim, Bowon, 2021. "Regulatory versus consumer pressure and retailer responsibility for upstream pollution in a supply chain," Omega, Elsevier, vol. 101(C).
    7. Fang, Chenhao & Ma, Tieju, 2020. "Stylized agent-based modeling on linking emission trading systems and its implications for China's practice," Energy Economics, Elsevier, vol. 92(C).
    8. Ding, Song & Zhang, Huahan, 2023. "Forecasting Chinese provincial CO2 emissions: A universal and robust new-information-based grey model," Energy Economics, Elsevier, vol. 121(C).
    9. Wong-Parodi, Gabrielle & Krishnamurti, Tamar & Gluck, Joshua & Agarwal, Yuvraj, 2019. "Encouraging energy conservation at work: A field study testing social norm feedback and awareness of monitoring," Energy Policy, Elsevier, vol. 130(C), pages 197-205.
    10. Yuyan Wang & Tingting Yu & Rui Zhou, 2022. "The Impact of Legal Recycling Constraints and Carbon Trading Mechanisms on Decision Making in Closed-Loop Supply Chain," IJERPH, MDPI, vol. 19(12), pages 1-26, June.
    11. Guo, Jian-Xin & Zhu, Kaiwei, 2021. "Implications for enterprise to adopt cleaner technology: From the perspective of energy market and commodity market," Research in International Business and Finance, Elsevier, vol. 57(C).
    12. Huan Zhang & Xinxin Xu & Wei Liu & Zhiyou Jia, 2020. "Green supply chain decision modeling under financial policy, with or without uniform government emission reduction policy," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 1040-1056, September.
    13. Imbulana Arachchi, Janaki & Managi, Shunsuke, 2021. "Preferences for energy sustainability: Different effects of gender on knowledge and importance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    14. Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(C).
    15. Lv, Miaochen & Bai, Manying, 2021. "Evaluation of China's carbon emission trading policy from corporate innovation," Finance Research Letters, Elsevier, vol. 39(C).
    16. Fanlue Li & Ke He & Run Zhu & Junbiao Zhang & Ming Gao, 2023. "Rural low‐carbon energy development in the information age: Can internet access drive the farmer to participate in personal carbon trading schemes related to bioenergy?," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1417-1432, June.
    17. Alice Guittard & Ebun Akinsete & Elias Demian & Phoebe Koundouri & Lydia Papadaki & Xenia Tombrou, 2022. "Tackling Single-Use-Plastic in small touristic islands to reduce marine litter: co-identifying the best mix of policies," DEOS Working Papers 2236, Athens University of Economics and Business.
    18. Bai, Dongbei & Hu, Jin & Irfan, Muhammad & Hu, Mingjun, 2023. "Unleashing the impact of ecological civilization pilot policies on green technology innovation: Evidence from a novel SC-DID model," Energy Economics, Elsevier, vol. 125(C).

  48. H. Wang & B.W. Ang & P. Zhou, 2018. "Decomposing aggregate CO2 emission changes with heterogeneity: An extended production-theoretical approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).

    Cited by:

    1. Shiraki, Hiroto & Matsumoto, Ken'ichi & Shigetomi, Yosuke & Ehara, Tomoki & Ochi, Yuki & Ogawa, Yuki, 2020. "Factors affecting CO2 emissions from private automobiles in Japan: The impact of vehicle occupancy," Applied Energy, Elsevier, vol. 259(C).
    2. Yun-Hsun Huang & Jung-Hua Wu & Hao-Syuan Huang, 2021. "Analyzing the Driving Forces behind CO 2 Emissions in Energy-Resource-Poor and Fossil-Fuel-Centered Economies: Case Studies from Taiwan, Japan, and South Korea," Energies, MDPI, vol. 14(17), pages 1-14, August.
    3. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.
    4. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).
    5. Lizhan Cao & Hui Wang, 2022. "The Slowdown in China’s Energy Consumption Growth in the “New Normal” Stage: From Both National and Regional Perspectives," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    6. Atit Tippichai, 2022. "Decomposition Analysis of Energy Consumption in Thailand, 1990-2020," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 10-14, July.
    7. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    8. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
    9. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    10. Wang, Juan & Hu, Mingming & Rodrigues, João F.D., 2018. "The evolution and driving forces of industrial aggregate energy intensity in China: An extended decomposition analysis," Applied Energy, Elsevier, vol. 228(C), pages 2195-2206.
    11. Zhang, Danyang & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2021. "The changing role of global value chains in CO2 emission intensity in 2000–2014," Energy Economics, Elsevier, vol. 93(C).
    12. Huang, Yun-Hsun, 2020. "Examining impact factors of residential electricity consumption in Taiwan using index decomposition analysis based on end-use level data," Energy, Elsevier, vol. 213(C).
    13. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    14. Wang, H. & Pan, Chen & Wang, Qunwei & Zhou, P., 2020. "Assessing sustainability performance of global supply chains: An input-output modeling approach," European Journal of Operational Research, Elsevier, vol. 285(1), pages 393-404.
    15. Dong, Kangyin & Hochman, Gal & Timilsina, Govinda R., 2020. "Do drivers of CO2 emission growth alter overtime and by the stage of economic development?," Energy Policy, Elsevier, vol. 140(C).
    16. Zhou, Xun & Kuosmanen, Timo, 2020. "What drives decarbonization of new passenger cars?," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1043-1057.
    17. Haobo Chen & Shangyu Liu & Yaoqiu Kuang & Jie Shu & Zetao Ma, 2023. "Decomposition Analysis of Regional Electricity Consumption Drivers Considering Carbon Emission Constraints: A Comparison of Guangdong and Yunnan Provinces in China," Energies, MDPI, vol. 16(24), pages 1-25, December.
    18. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    19. Chen, Jiandong & Xu, Chong & Shahbaz, Muhammad & Song, Malin, 2021. "Interaction determinants and projections of China’s energy consumption: 1997–2030," Applied Energy, Elsevier, vol. 283(C).
    20. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "The driving forces and potential mitigation of energy-related CO2 emissions in China's metal industry," Resources Policy, Elsevier, vol. 59(C), pages 487-494.
    21. H. Wang & Chen Pan & P. Zhou, 2019. "Assessing the Role of Domestic Value Chains in China’s CO2 Emission Intensity: A Multi-Region Structural Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 865-890, October.
    22. Wang, Miao & Feng, Chao, 2018. "Investigating the drivers of energy-related CO2 emissions in China’s industrial sector: From regional and provincial perspectives," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 136-147.
    23. Feng Dong & Xinqi Gao & Jingyun Li & Yuanqing Zhang & Yajie Liu, 2018. "Drivers of China’s Industrial Carbon Emissions: Evidence from Joint PDA and LMDI Approaches," IJERPH, MDPI, vol. 15(12), pages 1-28, December.

  49. Chai, Shanglei & Zhou, P., 2018. "The Minimum-CVaR strategy with semi-parametric estimation in carbon market hedging problems," Energy Economics, Elsevier, vol. 76(C), pages 64-75.

    Cited by:

    1. Janczura, Joanna & Wójcik, Edyta, 2022. "Dynamic short-term risk management strategies for the choice of electricity market based on probabilistic forecasts of profit and risk measures. The German and the Polish market case study," Energy Economics, Elsevier, vol. 110(C).
    2. Kuang, Wei, 2023. "The equity-oil hedge: A comparison between volatility and alternative risk frameworks," Energy, Elsevier, vol. 271(C).
    3. Lu Wang & Ferhana Ahmad & Gong-li Luo & Muhammad Umar & Dervis Kirikkaleli, 2022. "Portfolio optimization of financial commodities with energy futures," Annals of Operations Research, Springer, vol. 313(1), pages 401-439, June.
    4. Jain, Prachi & Maitra, Debasish & Kang, Sang Hoon, 2023. "Oil price and the automobile industry: Dynamic connectedness and portfolio implications with downside risk," Energy Economics, Elsevier, vol. 119(C).
    5. Maitra, Debasish & Guhathakurta, Kousik & Kang, Sang Hoon, 2021. "The good, the bad and the ugly relation between oil and commodities: An analysis of asymmetric volatility connectedness and portfolio implications," Energy Economics, Elsevier, vol. 94(C).
    6. Pham, Son Duy & Nguyen, Thao Thac Thanh & Do, Hung Xuan, 2022. "Dynamic volatility connectedness between thermal coal futures and major cryptocurrencies: Evidence from China," Energy Economics, Elsevier, vol. 112(C).
    7. Wenjun Chu & Shanglei Chai & Xi Chen & Mo Du, 2020. "Does the Impact of Carbon Price Determinants Change with the Different Quantiles of Carbon Prices? Evidence from China ETS Pilots," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    8. Su, Kuangxi & Yao, Yinhong & Zheng, Chengli & Xie, Wenzhao, 2023. "A novel hybrid strategy for crude oil future hedging based on the combination of three minimum-CVaR models," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 35-50.
    9. Pham, Son Duy & Nguyen, Thao Thac Thanh & Do, Hung Xuan, 2023. "Natural gas and the utility sector nexus in the U.S.: Quantile connectedness and portfolio implications," Energy Economics, Elsevier, vol. 120(C).
    10. Maitra, Debasish & Rehman, Mobeen Ur & Dash, Saumya Ranjan & Kang, Sang Hoon, 2021. "Oil price volatility and the logistics industry: Dynamic connectedness with portfolio implications," Energy Economics, Elsevier, vol. 102(C).
    11. Jixian Cui & Chenghao Liao & Ling Ji & Yulei Xie & Yangping Yu & Jianguang Yin, 2021. "A Short-Term Hybrid Energy System Robust Optimization Model for Regional Electric-Power Capacity Development Planning under Different Pollutant Control Pressures," Sustainability, MDPI, vol. 13(20), pages 1-20, October.
    12. Demiralay, Sercan & Gencer, Hatice Gaye & Bayraci, Selcuk, 2022. "Carbon credit futures as an emerging asset: Hedging, diversification and downside risks," Energy Economics, Elsevier, vol. 113(C).
    13. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2019. "Quantifying Risk in Traditional Energy and Sustainable Investments," Sustainability, MDPI, vol. 11(3), pages 1-22, January.

  50. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.

    Cited by:

    1. Bingquan Liu & Yue Wang & Xuran Chang & Boyang Nie & Lingqi Meng & Yongqing Li, 2022. "Does Land Urbanization Affect the Catch-Up Effect of Carbon Emissions Reduction in China’s Logistics?," Land, MDPI, vol. 11(9), pages 1-18, September.
    2. Wu, F. & Zhou, P. & Zhou, D.Q., 2020. "Modeling carbon emission performance under a new joint production technology with energy input," Energy Economics, Elsevier, vol. 92(C).
    3. Yun-Hsun Huang & Jung-Hua Wu & Hao-Syuan Huang, 2021. "Analyzing the Driving Forces behind CO 2 Emissions in Energy-Resource-Poor and Fossil-Fuel-Centered Economies: Case Studies from Taiwan, Japan, and South Korea," Energies, MDPI, vol. 14(17), pages 1-14, August.
    4. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.
    5. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).
    6. Chen, Jiandong & Xu, Chong & Song, Malin & Deng, Xiangzheng & Shen, Zhiyang, 2022. "Towards sustainable development: Distribution effect of carbon-food nexus in Chinese cities," Applied Energy, Elsevier, vol. 309(C).
    7. Liu, Bingquan & Shi, Junxue & Wang, Hui & Su, Xuelin & Zhou, Peng, 2019. "Driving factors of carbon emissions in China: A joint decomposition approach based on meta-frontier," Applied Energy, Elsevier, vol. 256(C).
    8. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    9. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    10. Xiaolei Liu & Heng Chen & Cheng Peng & Mingqiu Li, 2022. "Assessing the Drivers of Carbon Intensity Change in China: A Dynamic Spatial–Temporal Production-Theoretical Decomposition Analysis Approach," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    11. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    12. Sueyoshi, Toshiyuki & Li, Aijun & Liu, Xiaohong, 2019. "Exploring sources of China's CO2 emission: Decomposition analysis under different technology changes," European Journal of Operational Research, Elsevier, vol. 279(3), pages 984-995.
    13. Lin, Boqiang & Xu, Mengmeng, 2019. "Quantitative assessment of factors affecting energy intensity from sector, region and time perspectives using decomposition method: A case of China’s metallurgical industry," Energy, Elsevier, vol. 189(C).
    14. Kekui Chen & Jianming Fu & Yun Gong & Jian Wang & Shilin Lv & Yajie Liu & Jingyun Li, 2022. "Study on the Influencing Factors of CO 2 from the Perspective of CO 2 Mitigation Potentials," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    15. Huang, Yun-Hsun, 2020. "Examining impact factors of residential electricity consumption in Taiwan using index decomposition analysis based on end-use level data," Energy, Elsevier, vol. 213(C).
    16. Zhao, Zhibo & Shi, Xunpeng & Zhao, Lingdi & Zhang, Jinggu, 2020. "Extending production-theoretical decomposition analysis to environmentally sensitive growth: Case study of Belt and Road Initiative countries," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    17. Hong, Junjie & Shi, Fangyuan & Zheng, Yuhan, 2023. "Does network infrastructure construction reduce energy intensity? Based on the “Broadband China” strategy," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    18. Feng Dong & Xinqi Gao & Jingyun Li & Yuanqing Zhang & Yajie Liu, 2018. "Drivers of China’s Industrial Carbon Emissions: Evidence from Joint PDA and LMDI Approaches," IJERPH, MDPI, vol. 15(12), pages 1-28, December.

  51. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.

    Cited by:

    1. Kuosmanen, Natalia & Maczulskij, Terhi, 2023. "The Role of Firm Dynamics in the Green Transition: Carbon Productivity Decomposition in Finnish Manufacturing," IZA Discussion Papers 15865, Institute of Labor Economics (IZA).
    2. Huang, Rui & Lv, Guonian, 2021. "The climate economic effect of technology spillover," Energy Policy, Elsevier, vol. 159(C).
    3. Li, Ding & Gao, Ming & Hou, Wenxuan & Song, Malin & Chen, Jiandong, 2020. "A modified and improved method to measure economy-wide carbon rebound effects based on the PDA-MMI approach," Energy Policy, Elsevier, vol. 147(C).
    4. Zuo, Jianyong & Dong, Liwei & Yang, Fan & Guo, Ziheng & Wang, Tianpeng & Zuo, Lei, 2023. "Energy harvesting solutions for railway transportation: A comprehensive review," Renewable Energy, Elsevier, vol. 202(C), pages 56-87.
    5. Chao Wang & Yue‐Jun Zhang, 2020. "Does environmental regulation policy help improve green production performance? Evidence from China's industry," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(2), pages 937-951, March.
    6. Zhang, Wei & You, Jianmin & Lin, Weiwen, 2021. "Internet plus and China industrial system's low-carbon development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    7. Yayun Ren & Jian Yu & Shuhua Xu & Jiaomei Tang & Chang Zhang, 2023. "Green Finance and Industrial Low-Carbon Transition: Evidence from a Quasi-Natural Experiment in China," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    8. Pan, Hongye & Qi, Lingfei & Zhang, Zutao & Yan, Jinyue, 2021. "Kinetic energy harvesting technologies for applications in land transportation: A comprehensive review," Applied Energy, Elsevier, vol. 286(C).
    9. Fei Xu & Mian Yang & Qiangyi Li & Xiaolei Yang, 2020. "Long‐term economic consequences of corporate environmental responsibility: Evidence from heavily polluting listed companies in China," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2251-2264, September.
    10. Agnolucci, Paolo & Arvanitopoulos, Theodoros, 2019. "Industrial characteristics and air emissions: Long-term determinants in the UK manufacturing sector," Energy Economics, Elsevier, vol. 78(C), pages 546-566.
    11. Ruiwen Yang & Pathairat Pastpipatkul & Chaiwat Nimanussornkul, 2020. "Dynamic Volatility Spillover Among Chinese Black Series Futures Under Structural Breaks," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 6(5), pages 236-246.
    12. Liu, Nan & Ma, Zujun & Kang, Jidong & Su, Bin, 2019. "A multi-region multi-sector decomposition and attribution analysis of aggregate carbon intensity in China from 2000 to 2015," Energy Policy, Elsevier, vol. 129(C), pages 410-421.
    13. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
    14. Ma, Yu & Zhang, Tingting & Qian, Wenyu & Wei, Danqi, 2022. "Financial development, demographic changes, and the growth of the non-hydro renewable energy Industry—An empirical test based on R&D and financing costs," Renewable Energy, Elsevier, vol. 185(C), pages 217-229.
    15. Wu, F. & Zhou, P. & Zhou, D.Q., 2020. "Modeling carbon emission performance under a new joint production technology with energy input," Energy Economics, Elsevier, vol. 92(C).
    16. Zhang, Cheng & Zhou, Xinxin & Zhou, Bo & Zhao, Ziwei, 2022. "Impacts of a mega sporting event on local carbon emissions: A case of the 2014 Nanjing Youth Olympics," China Economic Review, Elsevier, vol. 73(C).
    17. Yang, Mian & Hou, Yaru & Ji, Qiang & Zhang, Dayong, 2020. "Assessment and optimization of provincial CO2 emission reduction scheme in China: An improved ZSG-DEA approach," Energy Economics, Elsevier, vol. 91(C).
    18. Jing Meng & Jingwen Huo & Zengkai Zhang & Yu Liu & Zhifu Mi & Dabo Guan & Kuishuang Feng, 2023. "The narrowing gap in developed and developing country emission intensities reduces global trade’s carbon leakage," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    19. Meng Xu & Zhongfeng Qin & Yigang Wei, 2023. "Exploring the financing and allocating schemes for the Chinese Green Climate Fund," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2487-2508, March.
    20. Liu, Bingquan & Shi, Junxue & Wang, Hui & Su, Xuelin & Zhou, Peng, 2019. "Driving factors of carbon emissions in China: A joint decomposition approach based on meta-frontier," Applied Energy, Elsevier, vol. 256(C).
    21. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    22. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    23. Xie, Xuan & Lin, Boqiang, 2019. "Understanding the energy intensity change in China's food industry: A comprehensive decomposition method," Energy Policy, Elsevier, vol. 129(C), pages 53-68.
    24. Su, Bin & Ang, B.W., 2020. "Demand contributors and driving factors of Singapore’s aggregate carbon intensities," Energy Policy, Elsevier, vol. 146(C).
    25. Li, Cunfang & Zhang, Bo & Lai, Yongzeng & Dong, Mei & Li, Danping, 2019. "Does the trans-regional transfer of resource-oriented enterprises generate a stress effect?," Resources Policy, Elsevier, vol. 64(C).
    26. Xiao Liu & Yancai Zhang & Yingying Li, 2022. "How Does Energy Consumption and Economic Development Affect Carbon Emissions? A Multi-Process Decomposition Framework," Energies, MDPI, vol. 15(23), pages 1-16, November.
    27. Huang, Fei & Zhou, Dequn & Wang, Qunwei & Hang, Ye, 2019. "Decomposition and attribution analysis of the transport sector’s carbon dioxide intensity change in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 343-358.
    28. Sueyoshi, Toshiyuki & Li, Aijun & Liu, Xiaohong, 2019. "Exploring sources of China's CO2 emission: Decomposition analysis under different technology changes," European Journal of Operational Research, Elsevier, vol. 279(3), pages 984-995.
    29. Lei Li & Ruizeng Zhao & Feihua Huang, 2023. "Environmental Performance of China’s Industrial System Considering Technological Heterogeneity and Interaction," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    30. Rajesh Sharma & Muhammad Shahbaz & Pradeep Kautish & Xuan Vinh Vo, 2023. "Diversified imports as catalysts for ecological footprint: examining the BRICS experience," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3153-3181, April.
    31. Wanke, Peter & Chen, Zhongfei & Dong, Qichen & Antunes, Jorge, 2021. "Transportation Sustainability, Macroeconomics, and Endogeneity in China: A Hybrid Neural-Markowitz-Variable Reduction Approach," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    32. Zha, Donglan & Yang, Guanglei & Wang, Qunwei, 2019. "Investigating the driving factors of regional CO2 emissions in China using the IDA-PDA-MMI method," Energy Economics, Elsevier, vol. 84(C).
    33. Huang, Junbing & Xiang, Shiqi & Wang, Yajun & Chen, Xiang, 2021. "Energy-saving R&D and carbon intensity in China," Energy Economics, Elsevier, vol. 98(C).
    34. Chen, Jiandong & Xu, Chong & Huang, Shuo & Shen, Zhiyang & Song, Malin & Wang, Shiqi, 2022. "Adjusted carbon intensity in China: Trend, driver, and network," Energy, Elsevier, vol. 251(C).
    35. Zhao, Zhibo & Shi, Xunpeng & Zhao, Lingdi & Zhang, Jinggu, 2020. "Extending production-theoretical decomposition analysis to environmentally sensitive growth: Case study of Belt and Road Initiative countries," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    36. Yan, Zheming & Zou, Baoling & Du, Kerui & Li, Ke, 2020. "Do renewable energy technology innovations promote China's green productivity growth? Fresh evidence from partially linear functional-coefficient models," Energy Economics, Elsevier, vol. 90(C).
    37. Singpai, Bodin & Wu, Desheng Dash, 2021. "An integrative approach for evaluating the environmental economic efficiency," Energy, Elsevier, vol. 215(PB).
    38. Pui, Kiew Ling & Othman, Jamal, 2019. "The influence of economic, technical, and social aspects on energy-associated CO2 emissions in Malaysia: An extended Kaya identity approach," Energy, Elsevier, vol. 181(C), pages 468-493.
    39. Azam, Muhammad & Younes, Ben Zaied & Hunjra, Ahmed Imran & Hussain, Nazim, 2022. "Integrated Spatial-Temporal decomposition analysis for life cycle assessment of carbon emission intensity change in various regions of China," Resources Policy, Elsevier, vol. 79(C).
    40. Xu, Chong & Wang, Bingjie & Chen, Jiandong & Shen, Zhiyang & Song, Malin & An, Jiafu, 2022. "Carbon inequality in China: Novel drivers and policy driven scenario analysis," Energy Policy, Elsevier, vol. 170(C).
    41. Zhang, Cheng & Zhao, Ziwei & Wang, Qunwei & Xu, Bing, 2022. "Title: Holistic governance strategy to reduce carbon intensity," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    42. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    43. Zhou, Dequn & Chong, Zhaotian & Wang, Qunwei, 2020. "What is the future policy for photovoltaic power applications in China? Lessons from the past," Resources Policy, Elsevier, vol. 65(C).
    44. Chen, Jiandong & Xu, Chong & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2019. "Driving factors of CO2 emissions and inequality characteristics in China: A combined decomposition approach," Energy Economics, Elsevier, vol. 78(C), pages 589-597.
    45. Zhou, Xun & Kuosmanen, Timo, 2020. "What drives decarbonization of new passenger cars?," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1043-1057.
    46. Wang, Kunlun & Zheng, Leven J. & Zhang, Justin Zuopeng & Yao, Hongjiang, 2022. "The impact of promoting new energy vehicles on carbon intensity: Causal evidence from China," Energy Economics, Elsevier, vol. 114(C).
    47. Wu, Rui & Geng, Yong & Cui, Xiaowei & Gao, Ziyan & Liu, Zhiqing, 2019. "Reasons for recent stagnancy of carbon emissions in China's industrial sectors," Energy, Elsevier, vol. 172(C), pages 457-466.
    48. Yunfei An & Dequn Zhou & Qunwei Wang, 2022. "Carbon emission reduction potential and its influencing factors in China’s coal-fired power industry: a cost optimization and decomposition analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3619-3639, March.
    49. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    50. Chen, Jiandong & Xu, Chong & Shahbaz, Muhammad & Song, Malin, 2021. "Interaction determinants and projections of China’s energy consumption: 1997–2030," Applied Energy, Elsevier, vol. 283(C).
    51. Yongming Zhang & Mohsen Imeni & Seyyed Ahmad Edalatpanah, 2023. "Environmental Dimension of Corporate Social Responsibility and Earnings Persistence: An Exploration of the Moderator Roles of Operating Efficiency and Financing Cost," Sustainability, MDPI, vol. 15(20), pages 1-18, October.
    52. Yu, Bolin & Fang, Debin & Xiao, Kun & Pan, Yuling, 2023. "Drivers of renewable energy penetration and its role in power sector's deep decarbonization towards carbon peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    53. Liu, Jiaguo & Li, Sujuan & Ji, Qiang, 2021. "Regional differences and driving factors analysis of carbon emission intensity from transport sector in China," Energy, Elsevier, vol. 224(C).
    54. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).
    55. Li, Yaya & Zhang, Yuru & Pan, An & Han, Minchun & Veglianti, Eleonora, 2022. "Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms," Technology in Society, Elsevier, vol. 70(C).
    56. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2019. "How information and communication technology drives carbon emissions: A sector-level analysis for China," Energy Economics, Elsevier, vol. 81(C), pages 380-392.
    57. Yang, Shenglang & Shi, Xunpeng, 2018. "Intangible capital and sectoral energy intensity: Evidence from 40 economies between 1995 and 2007," Energy Policy, Elsevier, vol. 122(C), pages 118-128.
    58. Lin, Boqiang & Xu, Bin, 2021. "A non-parametric analysis of the driving factors of China's carbon prices," Energy Economics, Elsevier, vol. 104(C).
    59. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Meng, Bo, 2021. "Attribution of changes in an intensity index," Energy, Elsevier, vol. 216(C).
    60. Lawrence D. LaPlue & Christopher A. Erickson, 2020. "Outsourcing, trade, technology, and greenhouse gas emissions," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(2), pages 217-245, April.
    61. Yousaf Ali & Rosita Pretaroli & Muhammad Sabir & Claudio Socci & Francesca Severini, 2020. "Structural changes in carbon dioxide (CO2) emissions in the United Kingdom (UK): an emission multiplier product matrix (EMPM) approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(8), pages 1545-1564, December.
    62. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2019. "Environmental efficiency measurement with heterogeneous input quality: A nonparametric analysis of U.S. power plants," Energy Economics, Elsevier, vol. 81(C), pages 610-625.
    63. Qunwei Wang & Cheng Cheng & Dequn Zhou, 2020. "Multi-round auctions in an emissions trading system considering firm bidding strategies and government regulations," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1403-1421, October.
    64. Cheng Peng & Xiaolin Guo & Hai Long, 2022. "Carbon Intensity and Green Transition in the Chinese Manufacturing Industry," Energies, MDPI, vol. 15(16), pages 1-20, August.

  52. Zhong, Zhangqi & Jiang, Lei & Zhou, Peng, 2018. "Transnational transfer of carbon emissions embodied in trade: Characteristics and determinants from a spatial perspective," Energy, Elsevier, vol. 147(C), pages 858-875.

    Cited by:

    1. Peng Chen & Hanwen Wang & Mingxing Guo & Jianjun Wang & Sinan Cai & Min Li & Kaining Sun & Yukun Wang, 2022. "Decomposition Analysis of Regional Embodied Carbon Flow and Driving Factors—Taking Shanghai as an Example," Sustainability, MDPI, vol. 14(17), pages 1-16, September.
    2. Zheng, Shuxian & Zhou, Xuanru & Tan, Zhanglu & Liu, Chan & Hu, Han & Yuan, Hui & Peng, Shengnan & Cai, Xiaomei, 2023. "Assessment of the global energy transition: Based on trade embodied energy analysis," Energy, Elsevier, vol. 273(C).
    3. Zhong, Zhangqi & Guo, Zhifang & Zhang, Jianwu, 2021. "Does the participation in global value chains promote interregional carbon emissions transferring via trade? Evidence from 39 major economies," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    4. Laura Rodríguez-Fernández & Ana Belén Fernández Carvajal & María Bujidos-Casado, 2020. "Allocation of Greenhouse Gas Emissions Using the Fairness Principle: A Multi-Country Analysis," Sustainability, MDPI, vol. 12(14), pages 1-15, July.
    5. Zhangqi Zhong & Yiqin Hu & Lei Jiang, 2019. "Impact of Climate Change on Agricultural Total Factor Productivity Based on Spatial Panel Data Model: Evidence from China," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
    6. Li, Li & Hong, Xuefei & Wang, Jun, 2020. "Evaluating the impact of clean energy consumption and factor allocation on China’s air pollution: A spatial econometric approach," Energy, Elsevier, vol. 195(C).
    7. Jia-Jia Ou & Ling-Yun He, 2023. "Opportunity or Challenge? Carbon Emissions Reduction under New Development Pattern of Dual Circulation," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    8. Shuangjie Xu & Hao Cheng & Menghan Zhang & Kexin Guo & Qian Liu & Yuan Gao, 2022. "Assessment and Adjustment of Export Embodied Carbon Emissions with Its Domestic Spillover Effects: Case Study of Liaoning Province, China," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    9. Hongkuan Zang & Lirong Zhang & Ye Xu & Wei Li, 2020. "Dynamic Input–Output Analysis of a Carbon Emission System at the Aggregated and Disaggregated Levels: A Case Study in the Northeast Industrial District," Sustainability, MDPI, vol. 12(7), pages 1-18, March.
    10. Sensen Zhang & Zhenggang Huo, 2023. "Analysis of Spatial Correlation and Influencing Factors of Building a Carbon Emission Reduction Potential Network Based on the Coordination of Equity and Efficiency," Sustainability, MDPI, vol. 15(15), pages 1-21, July.
    11. Meihui Jiang, 2022. "Locating the Principal Sectors for Carbon Emission Reduction on the Global Supply Chains by the Methods of Complex Network and Susceptible–Infective Model," Sustainability, MDPI, vol. 14(5), pages 1-13, February.
    12. Jiang, Lei & He, Shixiong & Tian, Xi & Zhang, Bo & Zhou, Haifeng, 2020. "Energy use embodied in international trade of 39 countries: Spatial transfer patterns and driving factors," Energy, Elsevier, vol. 195(C).
    13. Wenbin Shao & Fangyi Li & Zhaoyang Ye & Zhipeng Tang & Wu Xie & Yu Bai & Shanlin Yang, 2019. "Inter-Regional Spillover of Carbon Emissions and Employment in China: Is It Positive or Negative?," Sustainability, MDPI, vol. 11(13), pages 1-14, July.
    14. Zhangqi Zhong & Xu Zhang & Wei Shao, 2019. "Measuring global energy-related sulfur oxides emissions embodied in trade: a multi-regional and multi-sectoral analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 401-418, January.
    15. Fan, Xiaojia & Wu, Sanmang & Li, Shantong, 2019. "Spatial-temporal analysis of carbon emissions embodied in interprovincial trade and optimization strategies: A case study of Hebei, China," Energy, Elsevier, vol. 185(C), pages 1235-1249.
    16. Danzhu Liu & Jinqiang Liang & Shuliang Xu & Mao Ye, 2023. "Analysis of Carbon Emissions Embodied in the Provincial Trade of China Based on an Input–Output Model and k-Means Algorithm," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
    17. Jie Jiao & Jiyuan Zhang & Jie Yang & Wenwen Zhang & Fengtao Guang & Liying Liu, 2023. "The Study of Carbon Neutralization Effects with Green Credit: Evidence from a Panel Data Analysis for Interprovinces in China," Sustainability, MDPI, vol. 15(17), pages 1-20, September.
    18. Li, Fengyun & Li, Xingmei, 2022. "An empirical analysis on regional natural gas market of China from a spatial pattern and social network perspective," Energy, Elsevier, vol. 244(PA).
    19. Biying Zhao & Licheng Sun & Siying Gao, 2022. "Effects of Government Regulations on Under-Reporting of Carbon Emission Transfers by Enterprises in Supply Chains," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    20. Long, Yin & Yoshida, Yoshikuni & Fang, Kai & Zhang, Haoran & Dhondt, Maya, 2019. "City-level household carbon footprint from purchaser point of view by a modified input-output model," Applied Energy, Elsevier, vol. 236(C), pages 379-387.
    21. Rezgar FEIZI & Sahar AMIDI & Thais NUNEZ-ROCHA & Isabelle RABAUD, 2022. "Carbon Tax and Emissions Transfer: a Spatial Analysis," LEO Working Papers / DR LEO 2965, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    22. Zeng, Chen & Stringer, Lindsay C. & Lv, Tianyu, 2021. "The spatial spillover effect of fossil fuel energy trade on CO2 emissions," Energy, Elsevier, vol. 223(C).
    23. Jiang, Lei & He, Shixiong & Zhong, Zhangqi & Zhou, Haifeng & He, Lingyun, 2019. "Revisiting environmental kuznets curve for carbon dioxide emissions: The role of trade," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 245-257.
    24. Aishuang Zhou & Jinsheng Zhou & Jingjian Si & Guoyu Wang, 2023. "Study on Embodied CO 2 Emissions and Transfer Pathways of Chinese Industries," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    25. PU, Zhengning & YUE, Shujing & GAO, Peng, 2020. "The driving factors of China's embodied carbon emissions," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    26. Zhangqi Zhong & Xu Zhang & Weina Gao, 2020. "Spatiotemporal Evolution of Global Greenhouse Gas Emissions Transferring via Trade: Influencing Factors and Policy Implications," IJERPH, MDPI, vol. 17(14), pages 1-24, July.
    27. Zhang, Yan & Li, Yaoguang & Hubacek, Klaus & Tian, Xin & Lu, Zhongming, 2019. "Analysis of CO2 transfer processes involved in global trade based on ecological network analysis," Applied Energy, Elsevier, vol. 233, pages 576-583.

  53. Wang, Minggang & Tian, Lixin & Zhou, Peng, 2018. "A novel approach for oil price forecasting based on data fluctuation network," Energy Economics, Elsevier, vol. 71(C), pages 201-212.

    Cited by:

    1. Lu-Tao Zhao & Guan-Rong Zeng & Ling-Yun He & Ya Meng, 2020. "Forecasting Short-Term Oil Price with a Generalised Pattern Matching Model Based on Empirical Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1151-1169, April.
    2. Li, Jinchao & Zhu, Shaowen & Wu, Qianqian, 2019. "Monthly crude oil spot price forecasting using variational mode decomposition," Energy Economics, Elsevier, vol. 83(C), pages 240-253.
    3. Fang, Tianhui & Zheng, Chunling & Wang, Donghua, 2023. "Forecasting the crude oil prices with an EMD-ISBM-FNN model," Energy, Elsevier, vol. 263(PA).
    4. Erdinc Akyildirim & Oguzhan Cepni & Shaen Corbet & Gazi Salah Uddin, 2023. "Forecasting mid-price movement of Bitcoin futures using machine learning," Annals of Operations Research, Springer, vol. 330(1), pages 553-584, November.
    5. Chen, Weidong & Xiong, Shi & Chen, Quanyu, 2022. "Characterizing the dynamic evolutionary behavior of multivariate price movement fluctuation in the carbon-fuel energy markets system from complex network perspective," Energy, Elsevier, vol. 239(PA).
    6. Wang, Xin & Sun, Mei, 2021. "A novel prediction model of multi-layer symbolic pattern network: Based on causation entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 575(C).
    7. Li, Mingchen & Cheng, Zishu & Lin, Wencan & Wei, Yunjie & Wang, Shouyang, 2023. "What can be learned from the historical trend of crude oil prices? An ensemble approach for crude oil price forecasting," Energy Economics, Elsevier, vol. 123(C).
    8. Xu, Hua & Wang, Minggang & Jiang, Shumin & Yang, Weiguo, 2020. "Carbon price forecasting with complex network and extreme learning machine," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    9. Herrera, Gabriel Paes & Constantino, Michel & Tabak, Benjamin Miranda & Pistori, Hemerson & Su, Jen-Je & Naranpanawa, Athula, 2019. "Long-term forecast of energy commodities price using machine learning," Energy, Elsevier, vol. 179(C), pages 214-221.
    10. Wang, Minggang & Xu, Hua & Tian, Lixin & Eugene Stanley, H., 2018. "Degree distributions and motif profiles of limited penetrable horizontal visibility graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 620-634.
    11. Ou, Shiqi & Lin, Zhenhong & Xu, Guoquan & Hao, Xu & Li, Hongwei & Gao, Zhiming & He, Xin & Przesmitzki, Steven & Bouchard, Jessey, 2020. "The retailed gasoline price in China: Time-series analysis and future trend projection," Energy, Elsevier, vol. 191(C).
    12. Donghua Wang & Tianhui Fang, 2022. "Forecasting Crude Oil Prices with a WT-FNN Model," Energies, MDPI, vol. 15(6), pages 1-21, March.
    13. Zhou, Yang & Xie, Chi & Wang, Gang-Jin & Zhu, You & Uddin, Gazi Salah, 2023. "Analysing and forecasting co-movement between innovative and traditional financial assets based on complex network and machine learning," Research in International Business and Finance, Elsevier, vol. 64(C).
    14. Lu, Quanying & Li, Yuze & Chai, Jian & Wang, Shouyang, 2020. "Crude oil price analysis and forecasting: A perspective of “new triangle”," Energy Economics, Elsevier, vol. 87(C).

  54. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.

    Cited by:

    1. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
    2. Manh D. Pham & Léopold Simar & Valentin Zelenyuk, 2019. "Statistical Inference for Aggregation of Malmquist Productivity Indices," CEPA Working Papers Series WP082019, School of Economics, University of Queensland, Australia.
    3. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    4. Huang, Beijia & Zhang, Long & Ma, Linmao & Bai, Wuliyasu & Ren, Jingzheng, 2021. "Multi-criteria decision analysis of China’s energy security from 2008 to 2017 based on Fuzzy BWM-DEA-AR model and Malmquist Productivity Index," Energy, Elsevier, vol. 228(C).
    5. Sheng-Hsiung Chiu & Tzu-Yu Lin & Hai-Lan Yang, 2020. "Measuring Energy Performance for Regional Sustainable Development in China: A New Framework based on a Dynamic Two-Stage SBM Approach," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
    6. Zhu, Lin & Luo, Jian & Dong, Qingli & Zhao, Yang & Wang, Yunyue & Wang, Yong, 2021. "Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    7. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.
    8. Lizhan Cao & Zhongying Qi & Junxia Ren, 2017. "China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    9. Ya Chen & Wei Xu & Qian Zhou & Zhixiang Zhou, 2020. "Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    10. Du, Minzhe & Wang, Bing & Zhang, Ning, 2018. "National research funding and energy efficiency: Evidence from the National Science Foundation of China," Energy Policy, Elsevier, vol. 120(C), pages 335-346.
    11. Fu, Yelin & Lu, Yihe & Yu, Chen & Lai, Kin Keung, 2022. "Inter-country comparisons of energy system performance with the energy trilemma index: An ensemble ranking methodology based on the half-quadratic theory," Energy, Elsevier, vol. 261(PA).
    12. Tzu-Yu Lin & Sheng-Hsiung Chiu, 2018. "Sustainable Performance of Low-Carbon Energy Infrastructure Investment on Regional Development: Evidence from China," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    13. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    14. Xi Chen & Mingzhe Pu & Yu Zhong, 2022. "Evaluating China Food’s Fertilizer Reduction and Efficiency Initiative Using a Double Stochastic Meta-Frontier Method," IJERPH, MDPI, vol. 19(12), pages 1-21, June.
    15. Wei Yang & Zudi Lu & Di Wang & Yanmin Shao & Jinfeng Shi, 2020. "Sustainable Evolution of China’s Regional Energy Efficiency Based on a Weighted SBM Model with Energy Substitutability," Sustainability, MDPI, vol. 12(23), pages 1-22, December.
    16. Hongzhang Chen & Haiwen Yang, 2020. "Measurement and Structural Factors Influencing China’s Provincial Total-Factor Energy Efficiency Under Resource and Environmental Constraints," SAGE Open, , vol. 10(3), pages 21582440209, July.
    17. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    18. Zhang, Lin & Adom, Philip Kofi, 2018. "Energy Efficiency Transitions in China: How persistent are the movements to/from the frontier?," MPRA Paper 94797, University Library of Munich, Germany.
    19. Fu, Yelin & Lai, Kin Keung & Yu, Lean, 2021. "Multi-nation comparisons of energy architecture performance: A group decision-making method with preference structure and acceptability analysis," Energy Economics, Elsevier, vol. 96(C).
    20. Wang, H. & Pan, Chen & Wang, Qunwei & Zhou, P., 2020. "Assessing sustainability performance of global supply chains: An input-output modeling approach," European Journal of Operational Research, Elsevier, vol. 285(1), pages 393-404.
    21. Xuanzhi Yang & Zhaofang Zhang & Wei Luo & Zhen Tang & Xin Gao & Zhongchi Wan & Xin Zhang, 2019. "The Impact of Government Role on High-Quality Innovation Development in Mainland China," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    22. Takayabu, Hirotaka, 2020. "CO2 mitigation potentials in manufacturing sectors of 26 countries," Energy Economics, Elsevier, vol. 86(C).
    23. Yanhong Tang & Yingwen Chen & Rui Yang & Xin Miao, 2020. "The Unified Efficiency Evaluation of China’s Industrial Waste Gas Considering Pollution Prevention and End-Of-Pipe Treatment," IJERPH, MDPI, vol. 17(16), pages 1-27, August.

  55. Wang, M. & Zhou, P., 2017. "Does emission permit allocation affect CO2 cost pass-through? A theoretical analysis," Energy Economics, Elsevier, vol. 66(C), pages 140-146.

    Cited by:

    1. Hongpeng Guo & Zhihao Lv & Junyi Hua & Hongxu Yuan & Qingyu Yu, 2021. "Design of Combined Auction Model for Emission Rights of International Forestry Carbon Sequestration and Other Pollutants Based on SMRA," Sustainability, MDPI, vol. 13(20), pages 1-18, October.
    2. Xinwei Zhao & Xinsong Yang & Geng Peng & Shengjie Yue, 2023. "International Trade and Carbon Emissions: Evaluating the Role of Trade Rule Uncertainty," Sustainability, MDPI, vol. 15(15), pages 1-19, July.
    3. Duro, Juan Antonio & Giménez-Gómez, José-Manuel & Vilella, Cori, 2020. "The allocation of CO2 emissions as a claims problem," Energy Economics, Elsevier, vol. 86(C).
    4. Yu, Shiyong & Chen, Yuke & Pu, Linchang & Chen, Zhe, 2022. "The CO2 cost pass-through and environmental effectiveness in emission trading schemes," Energy, Elsevier, vol. 239(PC).
    5. Joltreau, Eugénie & Sommerfeld, Katrin, 2016. "Why does emissions trading under the EU ETS not affect firms' competitiveness? Empirical findings from the literature," ZEW Discussion Papers 16-062, ZEW - Leibniz Centre for European Economic Research.
    6. Chen, Zhe & Chen, Yan-ling & Su, Yue & Wang, Xue-ying & Wu, You, 2023. "The CO2 cost pass-through in nonlinear emission trading schemes," Journal of Commodity Markets, Elsevier, vol. 30(C).
    7. Andrianesis, Panagiotis & Biskas, Pandelis & Liberopoulos, George, 2021. "Evaluating the cost of emissions in a pool-based electricity market," Applied Energy, Elsevier, vol. 298(C).
    8. Sæther, Simen Rostad, 2021. "Climate policy choices: An empirical study of the effects on the OECD and BRICS power sector emission intensity," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 499-515.
    9. Cludius, Johanna & de Bruyn, Sander & Schumacher, Katja & Vergeer, Robert, 2020. "Ex-post investigation of cost pass-through in the EU ETS - an analysis for six industry sectors," Energy Economics, Elsevier, vol. 91(C).
    10. Nazifi, Fatemeh & Trück, Stefan & Zhu, Liangxu, 2021. "Carbon pass-through rates on spot electricity prices in Australia," Energy Economics, Elsevier, vol. 96(C).
    11. Dagoumas, Athanasios S. & Polemis, Michael L., 2020. "Carbon pass-through in the electricity sector: An econometric analysis," Energy Economics, Elsevier, vol. 86(C).
    12. Feng, Huchen & Hu, Yu-Jie & Li, Chengjiang & Wang, Honglei, 2023. "Rolling horizon optimisation strategy and initial carbon allowance allocation model to reduce carbon emissions in the power industry: Case of China," Energy, Elsevier, vol. 277(C).
    13. Duro Moreno, Juan Antonio & Giménez-Gómez, José Manuel & Sánchez-Soriano, Joaquín & Vilella Bach, Misericòrdia, 2022. "Allocating remaining carbon budgets and mitigation costs," Working Papers 2072/535074, Universitat Rovira i Virgili, Department of Economics.
    14. Lin, Boqiang & Jia, Zhijie, 2019. "What will China's carbon emission trading market affect with only electricity sector involvement? A CGE based study," Energy Economics, Elsevier, vol. 78(C), pages 301-311.
    15. Wang, M. & Zhou, P., 2022. "A two-step auction-refund allocation rule of CO2 emission permits," Energy Economics, Elsevier, vol. 113(C).
    16. Wu, Liangpeng & Zhu, Qingyuan, 2023. "Has the Emissions Trading Scheme (ETS) promoted the end-of-pipe emissions reduction? Evidence from China's residents," Energy, Elsevier, vol. 277(C).
    17. Qunwei Wang & Cheng Cheng & Dequn Zhou, 2020. "Multi-round auctions in an emissions trading system considering firm bidding strategies and government regulations," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1403-1421, October.

  56. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.

    Cited by:

    1. Fang, Guochang & Tian, Lixin & Yang, Zili, 2020. "The construction of a comprehensive multidimensional energy index," Energy Economics, Elsevier, vol. 90(C).
    2. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
    3. Xiang Ji & Jie Wu & Qingyuan Zhu & Jiasen Sun, 2019. "Using a hybrid heterogeneous DEA method to benchmark China’s sustainable urbanization: an empirical study," Annals of Operations Research, Springer, vol. 278(1), pages 281-335, July.
    4. Natascha Eggers & Torsten Birth & Bernd Sankol & Lukas Kerpen & Antonio Hurtado, 2023. "A Literature Review on Existing Methods and Indicators for Evaluating the Efficiency of Power-to-X Processes," Clean Technol., MDPI, vol. 5(1), pages 1-23, January.
    5. Jorge Antunes & Luis Alberiko Gil-Alana & Rossana Riccardi & Yong Tan & Peter Wanke, 2022. "Unveiling endogeneity and temporal dependence in energy prices and demand in Iberian countries: a stochastic hidden Markov model approach," Annals of Operations Research, Springer, vol. 313(1), pages 191-229, June.
    6. Xian-tong Ren & Guo-liang Yang, 2024. "Eliminating congestion in China’s papermaking and paper products industry: From both the perspective of increasing and decreasing inputs," Journal of Productivity Analysis, Springer, vol. 61(1), pages 63-82, February.
    7. Ma, Guangcheng & Cao, Jianhua & Famanta, Mahamane, 2023. "Does the coordinated development of two-way FDI increase the green energy efficiency of Chinese cities? Evidence from Chinese listed companies," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 59-77.
    8. Wu, F. & Zhou, P. & Zhou, D.Q., 2020. "Modeling carbon emission performance under a new joint production technology with energy input," Energy Economics, Elsevier, vol. 92(C).
    9. Wu, F. & Wang, S.Y. & Zhou, P., 2023. "Marginal abatement cost of carbon dioxide emissions: The role of abatement options," European Journal of Operational Research, Elsevier, vol. 310(2), pages 891-901.
    10. Napolitano, Oreste & Foresti, Pasquale & Kounetas, Konstantinos & Spagnolo, Nicola, 2023. "The impact of energy, renewable and CO2 emissions efficiency on countries’ productivity," Energy Economics, Elsevier, vol. 125(C).
    11. Hu, Jin-Li & Chang, Ming-Chung & Tsay, Hui-Wen, 2017. "The congestion total-factor energy efficiency of regions in Taiwan," Energy Policy, Elsevier, vol. 110(C), pages 710-718.
    12. Zhaoqiang Zhong & Benhong Peng & Ehsan Elahi, 2021. "Spatial and temporal pattern evolution and influencing factors of energy–environmental efficiency: A case study of Yangtze River urban agglomeration in China," Energy & Environment, , vol. 32(2), pages 242-261, March.
    13. Ren, Xian-tong & Fukuyama, Hirofumi & Yang, Guo-liang, 2022. "Eliminating congestion by increasing inputs in R&D activities of Chinese universities," Omega, Elsevier, vol. 110(C).

  57. Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2017. "Microsimulation of low carbon urban transport policies in Beijing," Energy Policy, Elsevier, vol. 107(C), pages 561-572.

    Cited by:

    1. Changwei Yuan & Dayong Wu & Hongchao Liu, 2017. "Using Grey Relational Analysis to Evaluate Energy Consumption, CO 2 Emissions and Growth Patterns in China’s Provincial Transportation Sectors," IJERPH, MDPI, vol. 14(12), pages 1-16, December.
    2. Garfield Wayne Hunter & Gideon Sagoe & Daniele Vettorato & Ding Jiayu, 2019. "Sustainability of Low Carbon City Initiatives in China: A Comprehensive Literature Review," Sustainability, MDPI, vol. 11(16), pages 1-37, August.
    3. Daniel Neves Schmitz Gonçalves & Renata Albergaria de Mello Bandeira & Mariane Gonzalez da Costa & George Vasconcelos Goes & Tássia Faria de Assis & Márcio de Almeida D’Agosto & Isabela Rocha Pombo Le, 2020. "A Multitier Approach to Estimating the Energy Efficiency of Urban Passenger Mobility," Sustainability, MDPI, vol. 12(24), pages 1-18, December.
    4. Zhang, Linling & Long, Ruyin & Li, Wenbo & Wei, Jia, 2020. "Potential for reducing carbon emissions from urban traffic based on the carbon emission satisfaction: Case study in Shanghai," Journal of Transport Geography, Elsevier, vol. 85(C).
    5. Liu, Xiaobing & Yan, Xuedong & Liu, Feng & Wang, Rui & Leng, Yan, 2019. "A trip-specific model for fuel saving estimation and subsidy policy making of carpooling based on empirical data," Applied Energy, Elsevier, vol. 240(C), pages 295-311.
    6. Goldschmidt, Rüdiger & Richter, Andreas & Pfeil, Raphael, 2019. "Active stakeholder involvement and organisational tasks as factors for an effective communication and governance strategy in the promotion of e-taxis. Results from a field research lab," Energy Policy, Elsevier, vol. 135(C).
    7. Jing Li & Kevin Lo & Meng Guo, 2018. "Do Socio-Economic Characteristics Affect Travel Behavior? A Comparative Study of Low-Carbon and Non-Low-Carbon Shopping Travel in Shenyang City, China," IJERPH, MDPI, vol. 15(7), pages 1-11, June.
    8. Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2018. "Understanding the determinants of travel mode choice of residents and its carbon mitigation potential," Energy Policy, Elsevier, vol. 115(C), pages 486-493.
    9. George Halkos & Kleoniki Natalia Petrou, 2019. "Analysing the Energy Efficiency of EU Member States: The Potential of Energy Recovery from Waste in the Circular Economy," Energies, MDPI, vol. 12(19), pages 1-32, September.
    10. Haoran Chen & Xuedong Yan & Xiaobing Liu & Tao Ma, 2023. "Exploring the operational performance discrepancies between online ridesplitting and carpooling transportation modes based on DiDi data," Transportation, Springer, vol. 50(5), pages 1923-1958, October.

  58. Dequn Zhou & Xiao Liu & Peng Zhou & Qunwei Wang, 2017. "Decomposition Analysis of Aggregate Energy Consumption in China: An Exploration Using a New Generalized PDA Method," Sustainability, MDPI, vol. 9(5), pages 1-13, April.

    Cited by:

    1. Lei Jin & Keran Duan & Xu Tang, 2018. "What Is the Relationship between Technological Innovation and Energy Consumption? Empirical Analysis Based on Provincial Panel Data from China," Sustainability, MDPI, vol. 10(1), pages 1-13, January.
    2. Han, Yongming & Liu, Shuang & Cong, Di & Geng, Zhiqiang & Fan, Jinzhen & Gao, Jingyang & Pan, Tingrui, 2021. "Resource optimization model using novel extreme learning machine with t-distributed stochastic neighbor embedding: Application to complex industrial processes," Energy, Elsevier, vol. 225(C).
    3. Liu, Bingquan & Shi, Junxue & Wang, Hui & Su, Xuelin & Zhou, Peng, 2019. "Driving factors of carbon emissions in China: A joint decomposition approach based on meta-frontier," Applied Energy, Elsevier, vol. 256(C).
    4. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
    5. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.
    6. Song, Yi & Huang, Jian-Bai & Feng, Chao, 2018. "Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 59(C), pages 103-116.
    7. Xiwen Cui & Shaojun E & Dongxiao Niu & Dongyu Wang & Mingyu Li, 2021. "An Improved Forecasting Method and Application of China’s Energy Consumption under the Carbon Peak Target," Sustainability, MDPI, vol. 13(15), pages 1-21, August.

  59. Wang, Qunwei & Wang, Yizhong & Zhou, P. & Wei, Hongye, 2017. "Whole process decomposition of energy-related SO2 in Jiangsu Province, China," Applied Energy, Elsevier, vol. 194(C), pages 679-687.

    Cited by:

    1. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas, 2021. "Improving energy use and mitigating pollutant emissions across “Three Regions and Ten Urban Agglomerations”: A city-level productivity growth decomposition," Applied Energy, Elsevier, vol. 283(C).
    2. Xianzhao Liu & Xu Yang & Ruoxin Guo, 2020. "Regional Differences in Fossil Energy-Related Carbon Emissions in China’s Eight Economic Regions: Based on the Theil Index and PLS-VIP Method," Sustainability, MDPI, vol. 12(7), pages 1-24, March.
    3. Haoran Zhao & Sen Guo & Huiru Zhao, 2018. "Impacts of GDP, Fossil Fuel Energy Consumption, Energy Consumption Intensity, and Economic Structure on SO 2 Emissions: A Multi-Variate Panel Data Model Analysis on Selected Chinese Provinces," Sustainability, MDPI, vol. 10(3), pages 1-20, March.
    4. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    5. Wenbo Li & Ruyin Long & Hong Chen & Feiyu Chen & Xiao Zheng & Muyi Yang, 2019. "Effect of Policy Incentives on the Uptake of Electric Vehicles in China," Sustainability, MDPI, vol. 11(12), pages 1-20, June.
    6. Yu, Bolin & Fang, Debin & Yu, Hongwei & Zhao, Chaoyang, 2021. "Temporal-spatial determinants of renewable energy penetration in electricity production: Evidence from EU countries," Renewable Energy, Elsevier, vol. 180(C), pages 438-451.
    7. Bingquan Liu & Yue Wang & Xuran Chang & Boyang Nie & Lingqi Meng & Yongqing Li, 2022. "Does Land Urbanization Affect the Catch-Up Effect of Carbon Emissions Reduction in China’s Logistics?," Land, MDPI, vol. 11(9), pages 1-18, September.
    8. Fang, Debin & Yu, Bolin, 2021. "Driving mechanism and decoupling effect of PM2.5 emissions: Empirical evidence from China’s industrial sector," Energy Policy, Elsevier, vol. 149(C).
    9. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    10. Feng Wang & Ge Wang & Juan Liu & Jing Ren & Mingru Dong, 2021. "Impact paths of land urbanization on haze pollution: spatial nesting structure perspective," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 975-998, October.
    11. Béchir Ben Lahouel & Younes Ben Zaied & Guo-liang Yang & Maria-Giuseppina Bruna & Yaoyao Song, 2022. "A non-parametric decomposition of the environmental performance-income relationship: evidence from a non-linear model," Annals of Operations Research, Springer, vol. 313(1), pages 525-558, June.
    12. Li, Li & Hong, Xuefei & Wang, Jun, 2020. "Evaluating the impact of clean energy consumption and factor allocation on China’s air pollution: A spatial econometric approach," Energy, Elsevier, vol. 195(C).
    13. Lizhan Cao & Hui Wang, 2022. "The Slowdown in China’s Energy Consumption Growth in the “New Normal” Stage: From Both National and Regional Perspectives," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    14. Cao, Feng & Tang, Tie-Qiao & Gao, Yunqi & You, Feng & Zhang, Jian, 2023. "Calculation and analysis of new taxiing methods on aircraft fuel consumption and pollutant emissions," Energy, Elsevier, vol. 277(C).
    15. Xianrui Liao & Wei Yang & Yichen Wang & Junnian Song, 2019. "Uncovering Variations, Determinants, and Disparities of Multisector-Level Final Energy Use of Industries Across Cities," Sustainability, MDPI, vol. 11(6), pages 1-16, March.
    16. Ma, Xiaotian & Zhang, Tianzuo & Ji, Changxing & Zhai, Yijie & Shen, Xiaoxu & Hong, Jinglan, 2021. "Threats to human health and ecosystem: Looking for air-pollution related damage since 1990," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    17. Bin Wang & Dechun Huang & Chuanhao Fan & Zhencheng Xing, 2021. "Peak of SO 2 Emissions Embodied in International Trade: Patterns, Drivers and Implications," Sustainability, MDPI, vol. 13(23), pages 1-19, December.
    18. Lingyun Mi & Tianwen Jia & Yang Yang & Lulu Jiang & Bangjun Wang & Tao Lv & Le Li & Junfeng Cao, 2021. "Evaluating the Effectiveness of Regional Ecological Civilization Policy: Evidence from Jiangsu Province, China," IJERPH, MDPI, vol. 19(1), pages 1-20, December.
    19. Licheng Sun & Qunwei Wang & Shilong Ge, 2018. "Urban resident energy-saving behavior: a case study under the A2SC framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(2), pages 515-536, March.
    20. Sun, Xiaohua & Dong, Yan & Wang, Yun & Ren, Junlin, 2022. "Sources of greenhouse gas emission reductions in OECD countries: Composition or technique effects," Ecological Economics, Elsevier, vol. 193(C).
    21. Mengyao Liu & Hongli Jiang, 2022. "Can the Energy-Consumption Permit Trading Scheme Curb SO 2 Emissions? Evidence from a Quasi-Natural Experiment in China," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    22. Jiang, Xueting, 2022. "Drivers of air pollution reduction paradox: Empirical evidence from directly measured unit-level data of Chinese power plants," Energy, Elsevier, vol. 254(PB).
    23. Prantik Bagchi & Santosh Kumar Sahu & Ajay Kumar & Kim Hua Tan, 2022. "Analysis of carbon productivity for firms in the manufacturing sector of India," Post-Print hal-03628401, HAL.
    24. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    25. Liu, Xiao & Hang, Ye & Wang, Qunwei & Zhou, Dequn, 2020. "Flying into the future: A scenario-based analysis of carbon emissions from China's civil aviation," Journal of Air Transport Management, Elsevier, vol. 85(C).
    26. Yu, Shiwei & Zheng, Shuhong & Zhang, Xuejiao & Gong, Chengzhu & Cheng, Jinhua, 2018. "Realizing China's goals on energy saving and pollution reduction: Industrial structure multi-objective optimization approach," Energy Policy, Elsevier, vol. 122(C), pages 300-312.
    27. Xiaodan Wang & Zhengyu Yang, 2019. "Application of Fuzzy Optimization Model Based on Entropy Weight Method in Atmospheric Quality Evaluation: A Case Study of Zhejiang Province, China," Sustainability, MDPI, vol. 11(7), pages 1-19, April.
    28. Wang, Yizhong & Hang, Ye & Jeong, Sujong & Wang, Qunwei, 2023. "Intersectoral transfers and drivers of net CO2 emissions in China incorporating sources and sinks," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    29. Hu, Yi & Yin, Zhifeng & Ma, Jian & Du, Wencui & Liu, Danhe & Sun, Luxi, 2017. "Determinants of GHG emissions for a municipal economy: Structural decomposition analysis of Chongqing," Applied Energy, Elsevier, vol. 196(C), pages 162-169.
    30. Xueyan Liu & Xiaolong Gao, 2018. "A New Study on Air Quality Standards: Air Quality Measurement and Evaluation for Jiangsu Province Based on Six Major Air Pollutants," Sustainability, MDPI, vol. 10(10), pages 1-16, October.
    31. Luca Esposito & Chiara Vecchio & Giancarlo Cattaneo & Zhouyi Gu & Ester Scotto di Perta, 2023. "Addressing Challenges and Outcomes in the Biogas Sector: An Analysis of Efficiency, Economic Savings, and Environmental Impacts Using an Advanced SWOT Model," Energies, MDPI, vol. 16(21), pages 1-22, November.

  60. Song, Lianlian & Fu, Yelin & Zhou, Peng & Lai, Kin Keung, 2017. "Measuring national energy performance via Energy Trilemma Index: A Stochastic Multicriteria Acceptability Analysis," Energy Economics, Elsevier, vol. 66(C), pages 313-319.

    Cited by:

    1. Jacek Strojny & Anna Krakowiak-Bal & Jarosław Knaga & Piotr Kacorzyk, 2023. "Energy Security: A Conceptual Overview," Energies, MDPI, vol. 16(13), pages 1-35, June.
    2. Belén del-Río & Ana Fernández-Sainz & Itziar Martinez de Alegria, 2022. "Assessing the energy trilemma through the diversity of the energy mix: the case of India," SN Business & Economics, Springer, vol. 2(9), pages 1-26, September.
    3. Zhao, Congyu & Dong, Kangyin & Wang, Kun & Dong, Xiucheng, 2022. "How does energy trilemma eradication reduce carbon emissions? The role of dual environmental regulation for China," Energy Economics, Elsevier, vol. 116(C).
    4. Lorafe Lozano & Evelyn B. Taboada, 2021. "The Power of Electricity: How Effective Is It in Promoting Sustainable Development in Rural Off-Grid Islands in the Philippines?," Energies, MDPI, vol. 14(9), pages 1-17, May.
    5. R. Pelissari & M. C. Oliveira & S. Ben Amor & A. Kandakoglu & A. L. Helleno, 2020. "SMAA methods and their applications: a literature review and future research directions," Annals of Operations Research, Springer, vol. 293(2), pages 433-493, October.
    6. Luping Zhang & Yingying Zhu & Liwei Fan, 2021. "Temporal-Spatial Structure and Influencing Factors of Urban Energy Efficiency in China’s Agglomeration Areas," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    7. Trinadh Pamulapati & Muhammed Cavus & Ishioma Odigwe & Adib Allahham & Sara Walker & Damian Giaouris, 2022. "A Review of Microgrid Energy Management Strategies from the Energy Trilemma Perspective," Energies, MDPI, vol. 16(1), pages 1-34, December.
    8. Andrew Adewale Alola & Tomiwa Sunday Adebayo & Ifedolapo Olabisi Olanipekun, 2023. "Examining the Energy Efficiency and Economic Growth Potential in the World Energy Trilemma Countries," Energies, MDPI, vol. 16(4), pages 1-21, February.
    9. Darren McCauley & Rebecca Grant & Evance Mwathunga, 2022. "Achieving energy justice in Malawi: from key challenges to policy recommendations," Climatic Change, Springer, vol. 170(3), pages 1-22, February.
    10. Fu, Yelin & Lu, Yihe & Yu, Chen & Lai, Kin Keung, 2022. "Inter-country comparisons of energy system performance with the energy trilemma index: An ensemble ranking methodology based on the half-quadratic theory," Energy, Elsevier, vol. 261(PA).
    11. Yu, Bolin & Fang, Debin & Pan, Yuling & Jia, Yunxia, 2023. "Countries’ green total-factor productivity towards a low-carbon world: The role of energy trilemma," Energy, Elsevier, vol. 278(PB).
    12. Yelin Fu & Kong Xiangtianrui & Hao Luo & Lean Yu, 2020. "Constructing Composite Indicators with Collective Choice and Interval-Valued TOPSIS: The Case of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 117-135, November.
    13. Yu, Yinyun & Li, Congdong & Fu, Yelin & Yang, Weiming, 2023. "A group decision-making method to measure national energy architecture performance: A case study of the International energy Agency," Applied Energy, Elsevier, vol. 330(PA).
    14. Fu, Yelin & Lai, Kin Keung & Yu, Lean, 2021. "Multi-nation comparisons of energy architecture performance: A group decision-making method with preference structure and acceptability analysis," Energy Economics, Elsevier, vol. 96(C).
    15. Tianjiao Wang & Yelin Fu, 2020. "Constructing Composite Indicators with Individual Judgements and Best–Worst Method: An Illustration of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 1-14, May.
    16. Liu, Zhen & Tang, Yuk Ming & Chau, Ka Yin & Chien, Fengsheng & Iqbal, Wasim & Sadiq, Muhammad, 2021. "Incorporating strategic petroleum reserve and welfare losses: A way forward for the policy development of crude oil resources in South Asia," Resources Policy, Elsevier, vol. 74(C).
    17. Yihe Lu & Yinyun Yu & Ting Qu, 2023. "An ESG Assessment Approach with Multi-Agent Preference Differences: Based on Fuzzy Reasoning and Group Decision-Making," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    18. Song, Shiling & Yang, Feng & Yu, Pingxiang & Xie, Jianhui, 2021. "Stochastic multi-attribute acceptability analysis with numerous alternatives," European Journal of Operational Research, Elsevier, vol. 295(2), pages 621-633.
    19. Silvia Angilella & Maria Rosaria Pappalardo, 2022. "Performance assessment of energy companies employing Hierarchy Stochastic Multi-Attribute Acceptability Analysis," Operational Research, Springer, vol. 22(1), pages 299-370, March.
    20. Šprajc, Polona & Bjegović, Miroslav & Vasić, Bojana, 2019. "Energy security in decision making and governance - Methodological analysis of energy trilemma index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    21. Gibellato, Simone & Ballestra, Luca Vincenzo & Fiano, Fabio & Graziano, Domenico & Luca Gregori, Gian, 2023. "The impact of education on the Energy Trilemma Index: A sustainable innovativeness perspective for resilient energy systems," Applied Energy, Elsevier, vol. 330(PB).

  61. Liu, Xiao & Zhou, Dequn & Zhou, Peng & Wang, Qunwei, 2017. "Dynamic carbon emission performance of Chinese airlines: A global Malmquist index analysis," Journal of Air Transport Management, Elsevier, vol. 65(C), pages 99-109.

    Cited by:

    1. Liu, Wei & Gao, Lixiang & Song, Hang & Huang, Mingdong, 2021. "Factor market distortion, technology change, and green growth in the Chinese civil airline industry," Journal of Asian Economics, Elsevier, vol. 77(C).
    2. Hyunjung Kim & Jiyoon Son, 2021. "Analyzing the Environmental Efficiency of Global Airlines by Continent for Sustainability," Sustainability, MDPI, vol. 13(3), pages 1-16, February.
    3. Xiaodan Gao & Yinhui Wang, 2023. "From Investment to the Environment: Exploring the Relationship between the Coordinated Development of Two-Way FDI and Carbon Productivity under Fiscal Decentralization," Sustainability, MDPI, vol. 16(1), pages 1-20, December.
    4. Wang, Feng & Sun, Xiaoyu & Reiner, David M. & Wu, Min, 2020. "Changing trends of the elasticity of China's carbon emission intensity to industry structure and energy efficiency," Energy Economics, Elsevier, vol. 86(C).
    5. Li, Hai-ling & Zhu, Xue-hong & Chen, Jin-yu & Jiang, Fei-tao, 2019. "Environmental regulations, environmental governance efficiency and the green transformation of China's iron and steel enterprises," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    6. Meng, Conghui & Du, Xiaoyun & Zhu, Mengcheng & Ren, Yitian & Fang, Kai, 2023. "The static and dynamic carbon emission efficiency of transport industry in China," Energy, Elsevier, vol. 274(C).
    7. Tanrıverdi, Gökhan & Merkert, Rico & Karamaşa, Çağlar & Asker, Veysi, 2023. "Using multi-criteria performance measurement models to evaluate the financial, operational and environmental sustainability of airlines," Journal of Air Transport Management, Elsevier, vol. 112(C).
    8. Lin, Boqiang & Xu, Mengmeng, 2018. "Regional differences on CO2 emission efficiency in metallurgical industry of China," Energy Policy, Elsevier, vol. 120(C), pages 302-311.
    9. Prantik Bagchi & Santosh Kumar Sahu & Ajay Kumar & Kim Hua Tan, 2022. "Analysis of carbon productivity for firms in the manufacturing sector of India," Post-Print hal-03628401, HAL.
    10. Shuai Zhang & Xiaoman Zhao & Changwei Yuan & Xiu Wang, 2020. "Technological Bias and Its Influencing Factors in Sustainable Development of China’s Transportation," Sustainability, MDPI, vol. 12(14), pages 1-26, July.
    11. Peng, Jiachao & Xiao, Jianzhong & Zhang, Lian & Wang, Teng, 2020. "The impact of China's ‘Atmosphere Ten Articles’ policy on total factor productivity of energy exploitation: Empirical evidence using synthetic control methods," Resources Policy, Elsevier, vol. 65(C).
    12. Liu, Xiao & Hang, Ye & Wang, Qunwei & Zhou, Dequn, 2020. "Flying into the future: A scenario-based analysis of carbon emissions from China's civil aviation," Journal of Air Transport Management, Elsevier, vol. 85(C).
    13. Shijie Ding & Jing Zhao & Meng Zhang & Sheng Yang & Hongwei Zhang, 2022. "Measuring the environmental protection efficiency and productivity of the 49 largest iron and steel enterprises in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 454-472, January.

  62. Zhang, M.M. & Zhou, D.Q. & Zhou, P. & Chen, H.T., 2017. "Optimal design of subsidy to stimulate renewable energy investments: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 873-883.

    Cited by:

    1. Li, Jiaxin & Wang, Zihan & Cheng, Xin & Shuai, Jing & Shuai, Chuanmin & Liu, Jing, 2020. "Has solar PV achieved the national poverty alleviation goals? Empirical evidence from the performances of 52 villages in rural China," Energy, Elsevier, vol. 201(C).
    2. Chang, Kai & Xue, Chenqi & Zhang, Huijia & Zeng, Yonghong, 2022. "The effects of green fiscal policies and R&D investment on a firm's market value: New evidence from the renewable energy industry in China," Energy, Elsevier, vol. 251(C).
    3. Wu, Ting & Yang, Shuwang & Tan, Jingjing, 2020. "Impacts of government R&D subsidies on venture capital and renewable energy investment -- an empirical study in China," Resources Policy, Elsevier, vol. 68(C).
    4. Fuquan Zhao & Feiqi Liu & Han Hao & Zongwei Liu, 2020. "Carbon Emission Reduction Strategy for Energy Users in China," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    5. Bai, Rui & Lin, Boqiang & Liu, Xiying, 2021. "Government subsidies and firm-level renewable energy investment: New evidence from partially linear functional-coefficient models," Energy Policy, Elsevier, vol. 159(C).
    6. de Simón-Martín, Miguel & Ciria-Garcés, Tomás & Rosales-Asensio, Enrique & González-Martínez, Alberto, 2022. "Multi-dimensional barrier identification for wind farm repowering in Spain through an expert judgment approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    7. Shen, Wei & Chen, Xi & Qiu, Jing & Hayward, Jennifier A & Sayeef, Saad & Osman, Peter & Meng, Ke & Dong, Zhao Yang, 2020. "A comprehensive review of variable renewable energy levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    8. Saeed Solaymani, 2021. "Energy subsidy reform evaluation research – reviews in Iran," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 11(3), pages 520-538, June.
    9. Yang, Yong-cong & Nie, Pu-yan & Liu, Hui-ting & Shen, Ming-hao, 2018. "On the welfare effects of subsidy game for renewable energy investment: Toward a dynamic equilibrium model," Renewable Energy, Elsevier, vol. 121(C), pages 420-428.
    10. Lin, Boqiang & Chen, Yufang, 2019. "Dynamic linkages and spillover effects between CET market, coal market and stock market of new energy companies: A case of Beijing CET market in China," Energy, Elsevier, vol. 172(C), pages 1198-1210.
    11. Indora, Sunil & Kandpal, Tara C., 2019. "A framework for analyzing impact of potential financial/fiscal incentives for promoting institutional solar cooking in India," Renewable Energy, Elsevier, vol. 143(C), pages 1531-1543.
    12. Zhang, M.M. & Wang, Qunwei & Zhou, Dequn & Ding, H., 2019. "Evaluating uncertain investment decisions in low-carbon transition toward renewable energy," Applied Energy, Elsevier, vol. 240(C), pages 1049-1060.
    13. Liu, Jing-Yue & Zhang, Yue-Jun, 2021. "Has carbon emissions trading system promoted non-fossil energy development in China?," Applied Energy, Elsevier, vol. 302(C).
    14. Guoping Ding & Jingqian Hua & Juntao Duan & Sixia Deng & Wenyu Zhang & Yifan Gong & Huaping Sun, 2022. "Research on the Strategy of Industrial Structure Optimization Driven by Green Credit Distribution," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    15. Gao, Jianwei & Guo, Fengjia & Li, Xiangzhen & Huang, Xin & Men, Huijuan, 2021. "Risk assessment of offshore photovoltaic projects under probabilistic linguistic environment," Renewable Energy, Elsevier, vol. 163(C), pages 172-187.
    16. Liu, Junxia, 2019. "China's renewable energy law and policy: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 99(C), pages 212-219.
    17. Chen, Rui & Meng, Qiang & Yu, Jiayi Joey, 2023. "Optimal government incentives to improve the new technology adoption: Subsidizing infrastructure investment or usage?," Omega, Elsevier, vol. 114(C).
    18. Vaclovas Miškinis & Arvydas Galinis & Inga Konstantinavičiūtė & Vidas Lekavičius & Eimantas Neniškis, 2021. "The Role of Renewable Energy Sources in Dynamics of Energy-Related GHG Emissions in the Baltic States," Sustainability, MDPI, vol. 13(18), pages 1-35, September.
    19. Ma, Yiju & Swandi, Kevin & Chapman, Archie C. & Verbič, Gregor, 2020. "Multi-stage compound real options valuation in residential PV-Battery investment," Energy, Elsevier, vol. 191(C).
    20. Hongyun Han & Shu Wu, 2019. "Determinants of the Behavioral Lock-in of Rural Residents’ Direct Biomass Energy Consumption in China," Sustainability, MDPI, vol. 11(2), pages 1-25, January.
    21. Chang, Kai & Wan, Qiong & Lou, Qichun & Chen, Yili & Wang, Weihong, 2020. "Green fiscal policy and firms’ investment efficiency: New insights into firm-level panel data from the renewable energy industry in China," Renewable Energy, Elsevier, vol. 151(C), pages 589-597.
    22. Li, Longxi & Cao, Xilin, 2022. "Comprehensive effectiveness assessment of energy storage incentive mechanisms for PV-ESS projects based on compound real options," Energy, Elsevier, vol. 239(PA).
    23. Wenwen Zhang & Shichun Xu & Zhengxia He & Basil Sharp & Bin Zhao & Shuxiao Wang, 2019. "Impacts of U.S. Carbon Tariffs on China’s Foreign Trade and Social Welfare," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
    24. Li, Jiaxin & Peng, Jiachao & Shuai, Chuanmin & Wang, Zihan & Huang, Fubin & Khayyam, Muhammad, 2022. "Does the solar PV program enhance the social empowerment of China's rural poor?," Energy, Elsevier, vol. 253(C).
    25. Yu, Shiwei & Lu, Tingwei & Hu, Xing & Liu, Lancui & Wei, Yi-Ming, 2021. "Determinants of overcapacity in China’s renewable energy industry: Evidence from wind, photovoltaic, and biomass energy enterprises," Energy Economics, Elsevier, vol. 97(C).
    26. Chang, Kai & Zeng, Yonghong & Wang, Weihong & Wu, Xin, 2019. "The effects of credit policy and financial constraints on tangible and research & development investment: Firm-level evidence from China's renewable energy industry," Energy Policy, Elsevier, vol. 130(C), pages 438-447.
    27. Yuehong Lu & Zafar A. Khan & Manuel S. Alvarez-Alvarado & Yang Zhang & Zhijia Huang & Muhammad Imran, 2020. "A Critical Review of Sustainable Energy Policies for the Promotion of Renewable Energy Sources," Sustainability, MDPI, vol. 12(12), pages 1-31, June.
    28. Ma, Yiju & Chapman, Archie C. & Verbič, Gregor, 2022. "Valuation of compound real options for co-investment in residential battery systems," Applied Energy, Elsevier, vol. 318(C).
    29. Zhang, Lei & Qin, Quande & Wei, Yi-Ming, 2019. "China's distributed energy policies: Evolution, instruments and recommendation," Energy Policy, Elsevier, vol. 125(C), pages 55-64.
    30. Yao, Xing & Fan, Ying & Zhu, Lei & Zhang, Xian, 2020. "Optimization of dynamic incentive for the deployment of carbon dioxide removal technology: A nonlinear dynamic approach combined with real options," Energy Economics, Elsevier, vol. 86(C).
    31. Liu, Xiaoran & Ronn, Ehud I., 2020. "Using the binomial model for the valuation of real options in computing optimal subsidies for Chinese renewable energy investments," Energy Economics, Elsevier, vol. 87(C).
    32. Àlex Alonso-Travesset & Diederik Coppitters & Helena Martín & Jordi de la Hoz, 2023. "Economic and Regulatory Uncertainty in Renewable Energy System Design: A Review," Energies, MDPI, vol. 16(2), pages 1-30, January.
    33. Yiju Ma & Kevin Swandi & Archie Chapman & Gregor Verbic, 2019. "Multi-Stage Compound Real Options Valuation in Residential PV-Battery Investment," Papers 1910.09132, arXiv.org.

  63. Zhou, P. & Delmas, M.A. & Kohli, A., 2017. "Constructing meaningful environmental indices: A nonparametric frontier approach," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 21-34.

    Cited by:

    1. Sun, YongPing & Xue, JinJun & Shi, XunPeng & Wang, KeYing & Qi, ShaoZhou & Wang, Lei & Wang, Cheng, 2019. "A dynamic and continuous allowances allocation methodology for the prevention of carbon leakage: Emission control coefficients," Applied Energy, Elsevier, vol. 236(C), pages 220-230.
    2. Fu, Tong & Jian, Ze, 2020. "A developmental state: How to allocate electricity efficiently in a developing country," Energy Policy, Elsevier, vol. 138(C).
    3. Gao, Shuaizhi & Zhou, Peng & Zhang, Hongyan, 2023. "Does energy transition help narrow the urban-rural income gap? Evidence from China," Energy Policy, Elsevier, vol. 182(C).
    4. Yu, Yantuan & Tang, Kai, 2023. "Does financial inclusion improve energy efficiency?," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    5. Zhang, L.P. & Zhou, P., 2018. "A non-compensatory composite indicator approach to assessing low-carbon performance," European Journal of Operational Research, Elsevier, vol. 270(1), pages 352-361.
    6. Lingling Cao & Huawei Niu, 2022. "Green Credit and Total Factor Carbon Emission Performance—Evidence from Moderation-Based Mediating Effect Test," IJERPH, MDPI, vol. 19(11), pages 1-19, June.
    7. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    8. Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    9. George Halkos & Mike G. Tsionas, 2019. "Accounting for Heterogeneity in Environmental Performance Using Data Envelopment Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 1005-1025, October.
    10. Fusco, Elisa & Vidoli, Francesco & Rogge, Nicky, 2020. "Spatial directional robust Benefit of the Doubt approach in presence of undesirable output: An application to Italian waste sector," Omega, Elsevier, vol. 94(C).
    11. Sun, Jie & Zhou, P. & Wen, Wen, 2022. "Assessing the regional adaptive capacity to renewable portfolio standard policy in China," Energy Policy, Elsevier, vol. 162(C).
    12. Meng, Conghui & Du, Xiaoyun & Zhu, Mengcheng & Ren, Yitian & Fang, Kai, 2023. "The static and dynamic carbon emission efficiency of transport industry in China," Energy, Elsevier, vol. 274(C).
    13. Danijela Despotovic & Slobodan Cvetanovic & Vladimir Nedic & Milan Despotovic, 2019. "Social Aspects of Sustainable Competitiveness in the Selected European Countries in the Period 2012–2015," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(2), pages 841-860, January.
    14. Yin Dong & Baishu Guo & Dawei He & Xiaoli Liao & Zhengyu Zhang & Xueqin Wu, 2022. "Industrial Transformation and Urban Economic Efficiency Evolution: An Empirical Study of the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(7), pages 1-19, March.
    15. Liu, Yang & Dilanchiev, Azer & Xu, Kaifei & Hajiyeva, Aytan Merdan, 2022. "Financing SMEs and business development as new post Covid-19 economic recovery determinants," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 554-567.
    16. Enzo Barberio Mariano & Diogo Ferraz & Simone Cristina Oliveira Gobbo, 2021. "The Human Development Index with Multiple Data Envelopment Analysis Approaches: A Comparative Evaluation Using Social Network Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(2), pages 443-500, September.
    17. Yelin Fu & Kong Xiangtianrui & Hao Luo & Lean Yu, 2020. "Constructing Composite Indicators with Collective Choice and Interval-Valued TOPSIS: The Case of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 117-135, November.
    18. Tianjiao Wang & Yelin Fu, 2020. "Constructing Composite Indicators with Individual Judgements and Best–Worst Method: An Illustration of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 1-14, May.
    19. Jie Zhang & Majed Alharthi & Qaiser Abbas & Weiqing Li & Muhammad Mohsin & Khan Jamal & Farhad Taghizadeh-Hesary, 2020. "Reassessing the Environmental Kuznets Curve in Relation to Energy Efficiency and Economic Growth," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    20. Yuan, Qianqian & Fang Chin Cheng, Charles & Wang, Jiayu & Zhu, Tian-Tian & Wang, Ke, 2020. "Inclusive and sustainable industrial development in China: An efficiency-based analysis for current status and improving potentials," Applied Energy, Elsevier, vol. 268(C).
    21. Wancheng Xie & Andrew Chapman & Taihua Yan, 2023. "Do Environmental Regulations Facilitate a Low-Carbon Transformation in China’s Resource-Based Cities?," IJERPH, MDPI, vol. 20(5), pages 1-23, March.
    22. Heidi K. Edmonds & Julie E. Lovell & C. A. Knox Lovell, 2017. "A New Composite Index for Greenhouse Gases: Climate Science Meets Social Science," Resources, MDPI, vol. 6(4), pages 1-16, October.
    23. Che, Xiao-Jing & Zhou, P. & Wang, M., 2022. "The policy effect on photovoltaic technology innovation with regional heterogeneity in China," Energy Economics, Elsevier, vol. 115(C).
    24. Miao, Zhuang & Baležentis, Tomas & Shao, Shuai & Chang, Dongfeng, 2019. "Energy use, industrial soot and vehicle exhaust pollution—China's regional air pollution recognition, performance decomposition and governance," Energy Economics, Elsevier, vol. 83(C), pages 501-514.
    25. Jin, Jingliang & Wen, Qinglan & Zhao, Liya & Zhou, Chaoyang & Guo, Xiaojun, 2023. "Measuring environmental performance of power dispatch influenced by low-carbon approaches," Renewable Energy, Elsevier, vol. 209(C), pages 325-339.

  64. Liu, Xiao & Zhou, Dequn & Zhou, Peng & Wang, Qunwei, 2017. "What drives CO2 emissions from China’s civil aviation? An exploration using a new generalized PDA method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 30-45.

    Cited by:

    1. Emodi, Nnaemeka Vincent & Inekwe, John Nkwoma & Zakari, Abdulrasheed, 2022. "Transport infrastructure, CO2 emissions, mortality, and life expectancy in the Global South," Transport Policy, Elsevier, vol. 128(C), pages 243-253.
    2. Wu, Chuntao & He, Xiaohe & Dou, Yi, 2019. "Regional disparity and driving forces of CO2 emissions: Evidence from China's domestic aviation transport sector," Journal of Transport Geography, Elsevier, vol. 76(C), pages 71-82.
    3. Song, Yan & Zhang, Ming, 2019. "Research on the gravity movement and mitigation potential of Asia's carbon dioxide emissions," Energy, Elsevier, vol. 170(C), pages 31-39.
    4. Wang, Miao & Feng, Chao, 2021. "The consequences of industrial restructuring, regional balanced development, and market-oriented reform for China's carbon dioxide emissions: A multi-tier meta-frontier DEA-based decomposition analysi," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    5. Cao, Feng & Tang, Tie-Qiao & Gao, Yunqi & You, Feng & Zhang, Jian, 2023. "Calculation and analysis of new taxiing methods on aircraft fuel consumption and pollutant emissions," Energy, Elsevier, vol. 277(C).
    6. Liu, Bingquan & Shi, Junxue & Wang, Hui & Su, Xuelin & Zhou, Peng, 2019. "Driving factors of carbon emissions in China: A joint decomposition approach based on meta-frontier," Applied Energy, Elsevier, vol. 256(C).
    7. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    8. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
    9. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    10. Xiao Liu & Jun Miao & Houxue Xia & Anqi Qiu & Jin Chen, 2020. "Trends and Policy Implications of Data Envelopment Analysis Method in the Process of Environment Sustainable Development," International Business Research, Canadian Center of Science and Education, vol. 13(11), pages 1-25, November.
    11. Zhao, Zhibo & Shi, Xunpeng & Zhao, Lingdi & Zhang, Jinggu, 2020. "Extending production-theoretical decomposition analysis to environmentally sensitive growth: Case study of Belt and Road Initiative countries," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    12. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    13. Huang, Fei & Zhou, Dequn & Hu, Jin-Li & Wang, Qunwei, 2020. "Integrated airline productivity performance evaluation with CO2 emissions and flight delays," Journal of Air Transport Management, Elsevier, vol. 84(C).
    14. Liu, Xiao & Hang, Ye & Wang, Qunwei & Zhou, Dequn, 2020. "Flying into the future: A scenario-based analysis of carbon emissions from China's civil aviation," Journal of Air Transport Management, Elsevier, vol. 85(C).
    15. Song, Yi & Huang, Jian-Bai & Feng, Chao, 2018. "Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 59(C), pages 103-116.
    16. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).
    17. Yousaf Ali & Rosita Pretaroli & Muhammad Sabir & Claudio Socci & Francesca Severini, 2020. "Structural changes in carbon dioxide (CO2) emissions in the United Kingdom (UK): an emission multiplier product matrix (EMPM) approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(8), pages 1545-1564, December.
    18. Wang, Feng & Wei, Xianjin & Liu, Juan & He, Lingyun & Gao, Mengnan, 2019. "Impact of high-speed rail on population mobility and urbanisation: A case study on Yangtze River Delta urban agglomeration, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 99-114.

  65. Jin, Jingliang & Zhou, Dequn & Zhou, Peng & Qian, Shuqu & Zhang, Mingming, 2016. "Dispatching strategies for coordinating environmental awareness and risk perception in wind power integrated system," Energy, Elsevier, vol. 106(C), pages 453-463.

    Cited by:

    1. Tan, Qinliang & Ding, Yihong & Ye, Qi & Mei, Shufan & Zhang, Yimei & Wei, Yongmei, 2019. "Optimization and evaluation of a dispatch model for an integrated wind-photovoltaic-thermal power system based on dynamic carbon emissions trading," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    2. Liu, Benxi & Cheng, Chuntian & Wang, Sen & Liao, Shengli & Chau, Kwok-Wing & Wu, Xinyu & Li, Weidong, 2018. "Parallel chance-constrained dynamic programming for cascade hydropower system operation," Energy, Elsevier, vol. 165(PA), pages 752-767.
    3. Roy, Sanjoy, 2018. "The maximum likelihood optima for an economic load dispatch in presence of demand and generation variability," Energy, Elsevier, vol. 147(C), pages 915-923.
    4. Jin, Jingliang & Zhou, Peng & Li, Chenyu & Guo, Xiaojun & Zhang, Mingming, 2019. "Low-carbon power dispatch with wind power based on carbon trading mechanism," Energy, Elsevier, vol. 170(C), pages 250-260.
    5. Rahmani, Shima & Amjady, Nima, 2017. "A new optimal power flow approach for wind energy integrated power systems," Energy, Elsevier, vol. 134(C), pages 349-359.
    6. Meng, Fanyi & Bai, Yang & Jin, Jingliang, 2021. "An advanced real-time dispatching strategy for a distributed energy system based on the reinforcement learning algorithm," Renewable Energy, Elsevier, vol. 178(C), pages 13-24.
    7. Chen, J.J. & Qi, B.X. & Peng, K. & Li, Y. & Zhao, Y.L., 2020. "Conditional value-at-credibility for random fuzzy wind power in demand response integrated multi-period economic emission dispatch," Applied Energy, Elsevier, vol. 261(C).
    8. Jingliang Jin & Qinglan Wen & Xianyue Zhang & Siqi Cheng & Xiaojun Guo, 2021. "Economic Emission Dispatch for Wind Power Integrated System with Carbon Trading Mechanism," Energies, MDPI, vol. 14(7), pages 1-17, March.
    9. Cai, Haoshu & Jia, Xiaodong & Feng, Jianshe & Li, Wenzhe & Hsu, Yuan-Ming & Lee, Jay, 2020. "Gaussian Process Regression for numerical wind speed prediction enhancement," Renewable Energy, Elsevier, vol. 146(C), pages 2112-2123.
    10. Li, Y.Z. & Li, K.C. & Wang, P. & Liu, Y. & Lin, X.N. & Gooi, H.B. & Li, G.F. & Cai, D.L. & Luo, Y., 2017. "Risk constrained economic dispatch with integration of wind power by multi-objective optimization approach," Energy, Elsevier, vol. 126(C), pages 810-820.
    11. Jin, Jingliang & Zhou, Peng & Zhang, Mingming & Yu, Xianyu & Din, Hao, 2018. "Balancing low-carbon power dispatching strategy for wind power integrated system," Energy, Elsevier, vol. 149(C), pages 914-924.
    12. Tan, Qinliang & Ding, Yihong & Zheng, Jin & Dai, Mei & Zhang, Yimei, 2021. "The effects of carbon emissions trading and renewable portfolio standards on the integrated wind–photovoltaic–thermal power-dispatching system: Real case studies in China," Energy, Elsevier, vol. 222(C).

  66. Zhou, D.Q. & Wu, F. & Zhou, X. & Zhou, P., 2016. "Output-specific energy efficiency assessment: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 177(C), pages 117-126.

    Cited by:

    1. Jiang, Lei & Zhou, Haifeng & He, Shixiong, 2021. "Does energy efficiency increase at the expense of output performance: Evidence from manufacturing firms in Jiangsu province, China," Energy, Elsevier, vol. 220(C).
    2. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    3. Fei, Rilong & Lin, Boqiang, 2017. "The integrated efficiency of inputs–outputs and energy – CO2 emissions performance of China's agricultural sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 668-676.
    4. Patrick Gasser & Marco Cinelli & Anna Labijak & Matteo Spada & Peter Burgherr & Miłosz Kadziński & Božidar Stojadinović, 2020. "Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis," Energies, MDPI, vol. 13(7), pages 1-35, March.
    5. Toshiyuki Sueyoshi & Mika Goto, 2020. "Performance Assessment of Japanese Electric Power Industry: DEA Measurement with Future Impreciseness," Energies, MDPI, vol. 13(2), pages 1-24, January.
    6. Benedetti, Miriam & Bonfa', Francesca & Bertini, Ilaria & Introna, Vito & Ubertini, Stefano, 2018. "Explorative study on Compressed Air Systems’ energy efficiency in production and use: First steps towards the creation of a benchmarking system for large and energy-intensive industrial firms," Applied Energy, Elsevier, vol. 227(C), pages 436-448.
    7. Lizhan Cao & Zhongying Qi & Junxia Ren, 2017. "China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    8. Wen, Quan & Hong, Jingke & Liu, Guiwen & Xu, Pengpeng & Tang, Miaohan & Li, Zhongfu, 2020. "Regional efficiency disparities in China’s construction sector: A combination of multiregional input–output and data envelopment analyses," Applied Energy, Elsevier, vol. 257(C).
    9. Majid Azadi & Balal Karimi & William Ho & Reza Farzipoor Saen, 2022. "Assessing green performance of power plants by multiple hybrid returns to scale technologies," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1177-1211, December.
    10. Nadimi, Reza & Tokimatsu, Koji, 2019. "Potential energy saving via overall efficiency relying on quality of life," Applied Energy, Elsevier, vol. 233, pages 283-299.
    11. Gong, Shixin & Shao, Cheng & Zhu, Li, 2019. "Multi-level and multi-granularity energy efficiency diagnosis scheme for ethylene production process," Energy, Elsevier, vol. 170(C), pages 1151-1169.
    12. Yang, Zhenbing & Shao, Shuai & Yang, Lili & Miao, Zhuang, 2018. "Improvement pathway of energy consumption structure in China's industrial sector: From the perspective of directed technical change," Energy Economics, Elsevier, vol. 72(C), pages 166-176.
    13. Zuoren Sun & Chao An & Huachen Sun, 2018. "Regional Differences in Energy and Environmental Performance: An Empirical Study of 283 Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-28, July.
    14. Sorana Vătavu & Oana-Ramona Lobonț & Iulia Para & Andrei Pelin, 2018. "Addressing oil price changes through business profitability in oil and gas industry in the United Kingdom," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-22, June.

  67. Zhang, M.M. & Zhou, P. & Zhou, D.Q., 2016. "A real options model for renewable energy investment with application to solar photovoltaic power generation in China," Energy Economics, Elsevier, vol. 59(C), pages 213-226.

    Cited by:

    1. Assereto, Martina & Byrne, Julie, 2021. "No real option for solar in Ireland: A real option valuation of utility scale solar investment in Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    2. Fan, Jing-Li & Xu, Mao & Yang, Lin & Zhang, Xian & Li, Fengyu, 2019. "How can carbon capture utilization and storage be incentivized in China? A perspective based on the 45Q tax credit provisions," Energy Policy, Elsevier, vol. 132(C), pages 1229-1240.
    3. Ma, Rufei & Cai, Huan & Ji, Qiang & Zhai, Pengxiang, 2021. "The impact of feed-in tariff degression on R&D investment in renewable energy: The case of the solar PV industry," Energy Policy, Elsevier, vol. 151(C).
    4. Fan, Jing-Li & Wei, Shijie & Yang, Lin & Wang, Hang & Zhong, Ping & Zhang, Xian, 2019. "Comparison of the LCOE between coal-fired power plants with CCS and main low-carbon generation technologies: Evidence from China," Energy, Elsevier, vol. 176(C), pages 143-155.
    5. Mehmet Alagöz & Nihal Yokuş & Turgut Yokuş, 2019. "Photovoltaic solar power plant investment optimization model for economic external balance: Model of Turkey," Energy & Environment, , vol. 30(3), pages 522-541, May.
    6. Ofori, Charles Gyamfi & Bokpin, Godfred Alufar & Aboagye, Anthony Q.Q. & Afful-Dadzie, Anthony, 2021. "A real options approach to investment timing decisions in utility-scale renewable energy in Ghana," Energy, Elsevier, vol. 235(C).
    7. Seoungbeom Na & Kyeongseok Kim & Woosik Jang & Changgeun Lee, 2022. "Real Options Analysis for Land and Water Solar Deployment in Idle Areas of Agricultural Dam: A Case Study of South Korea," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    8. Steffen, Bjarne, 2020. "Estimating the cost of capital for renewable energy projects," Energy Economics, Elsevier, vol. 88(C).
    9. Agaton, Casper, 2017. "Coal, Renewable, or Nuclear? A Real Options Approach to Energy Investments in the Philippines," MPRA Paper 83798, University Library of Munich, Germany.
    10. Bai, Rui & Lin, Boqiang & Liu, Xiying, 2021. "Government subsidies and firm-level renewable energy investment: New evidence from partially linear functional-coefficient models," Energy Policy, Elsevier, vol. 159(C).
    11. Hsiao, Kai-Long, 2017. "To promote radiation electrical MHD activation energy thermal extrusion manufacturing system efficiency by using Carreau-Nanofluid with parameters control method," Energy, Elsevier, vol. 130(C), pages 486-499.
    12. Zhang, Hanyu & Assereto, Martina & Byrne, Julie, 2023. "Deferring real options with solar renewable energy certificates," Global Finance Journal, Elsevier, vol. 55(C).
    13. Zhang, M.M. & Zhou, D.Q. & Zhou, P. & Chen, H.T., 2017. "Optimal design of subsidy to stimulate renewable energy investments: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 873-883.
    14. Kim, Byungil & Kim, Changyoon & Han, SangUk & Bae, JuHyun & Jung, Jaehoon, 2020. "Is it a good time to develop commercial photovoltaic systems on farmland? An American-style option with crop price risk," Renewable and Sustainable Energy Reviews, Elsevier, vol. 125(C).
    15. Jiahai Yuan & Yurong Zeng & Xiaoxuan Guo & Yu Ai & Minpeng Xiong, 2018. "Electric Power Investment Risk Assessment for Belt and Road Initiative Nations," Sustainability, MDPI, vol. 10(9), pages 1-21, August.
    16. Fan, Jing-Li & Xu, Mao & Yang, Lin & Zhang, Xian, 2019. "Benefit evaluation of investment in CCS retrofitting of coal-fired power plants and PV power plants in China based on real options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    17. Liu, Haomin & Zhang, Zaixu & Zhang, Tao, 2022. "Shale gas investment decision-making: Green and efficient development under market, technology and environment uncertainties," Applied Energy, Elsevier, vol. 306(PA).
    18. Tang, Songlin & Zhou, Wenbing & Li, Xinjin & Chen, Yingchao & Zhang, Qian & Zhang, Xiliang, 2021. "Subsidy strategy for distributed photovoltaics: A combined view of cost change and economic development," Energy Economics, Elsevier, vol. 97(C).
    19. Zhang, Mingming & Tang, Yamei & Liu, Liyun & Zhou, Dequn, 2022. "Optimal investment portfolio strategies for power enterprises under multi-policy scenarios of renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    20. Li, Yan & Zhang, Qi & Wang, Ge & McLellan, Benjamin & Liu, Xue Fei & Wang, Le, 2018. "A review of photovoltaic poverty alleviation projects in China: Current status, challenge and policy recommendations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 214-223.
    21. Zhang, M.M. & Wang, Qunwei & Zhou, Dequn & Ding, H., 2019. "Evaluating uncertain investment decisions in low-carbon transition toward renewable energy," Applied Energy, Elsevier, vol. 240(C), pages 1049-1060.
    22. Simona Bigerna & Xingang Wen & Verena Hagspiel & Peter M. Kort, 2018. "Green Electricity Investments: Environmental Target and the Optimal Subsidy," Quaderni del Dipartimento di Economia, Finanza e Statistica 29/2018, Università di Perugia, Dipartimento Economia.
    23. Aidana Chalgynbayeva & Tamás Mizik & Attila Bai, 2022. "Cost–Benefit Analysis of Kaposvár Solar Photovoltaic Park Considering Agrivoltaic Systems," Clean Technol., MDPI, vol. 4(4), pages 1-17, October.
    24. Ding, Hao & Zhou, Dequn & Zhou, P., 2020. "Optimal policy supports for renewable energy technology development: A dynamic programming model," Energy Economics, Elsevier, vol. 92(C).
    25. Amalia Rodrigo-González & Alfredo Grau-Grau & Inmaculada Bel-Oms, 2021. "Circular Economy and Value Creation: Sustainable Finance with a Real Options Approach," Sustainability, MDPI, vol. 13(14), pages 1-30, July.
    26. Li, Y. & Zhao, B.Y. & Zhao, Z.G. & Taylor, R.A. & Wang, R.Z., 2018. "Performance study of a grid-connected photovoltaic powered central air conditioner in the South China climate," Renewable Energy, Elsevier, vol. 126(C), pages 1113-1125.
    27. Ye, Liang-Cheng & Rodrigues, João F.D. & Lin, Hai Xiang, 2017. "Analysis of feed-in tariff policies for solar photovoltaic in China 2011–2016," Applied Energy, Elsevier, vol. 203(C), pages 496-505.
    28. Guoping Ding & Jingqian Hua & Juntao Duan & Sixia Deng & Wenyu Zhang & Yifan Gong & Huaping Sun, 2022. "Research on the Strategy of Industrial Structure Optimization Driven by Green Credit Distribution," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    29. Hengtian Wang & Xiaolong Yang & Xinxin Xu & Liu Fei, 2021. "Exploring Opportunities and Challenges of Solar PV Power under Carbon Peak Scenario in China: A PEST Analysis," Energies, MDPI, vol. 14(11), pages 1-28, May.
    30. Chen, Siyuan & Zhang, Qi & Li, Hailong & Mclellan, Benjamin & Zhang, Tiantian & Tan, Zhizhou, 2019. "Investment decision on shallow geothermal heating & cooling based on compound options model: A case study of China," Applied Energy, Elsevier, vol. 254(C).
    31. Kozlova, Mariia, 2017. "Real option valuation in renewable energy literature: Research focus, trends and design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 180-196.
    32. Kim, Kyeongseok & Park, Hyoungbae & Kim, Hyoungkwan, 2017. "Real options analysis for renewable energy investment decisions in developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 918-926.
    33. Ossai, Chinedu I., 2017. "Optimal renewable energy generation – Approaches for managing ageing assets mechanisms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 269-280.
    34. Penizzotto, F. & Pringles, R. & Olsina, F., 2019. "Real options valuation of photovoltaic power investments in existing buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    35. Ma, Yiju & Swandi, Kevin & Chapman, Archie C. & Verbič, Gregor, 2020. "Multi-stage compound real options valuation in residential PV-Battery investment," Energy, Elsevier, vol. 191(C).
    36. Pan, Yingjie & Yao, Xing & Wang, Xin & Zhu, Lei, 2019. "Policy uncertainties: What investment choice for solar panel producers?," Energy Economics, Elsevier, vol. 78(C), pages 454-467.
    37. Peng, Qiao & Liu, Weilong & Zhang, Yong & Zeng, Shihong & Graham, Byron, 2023. "Generation planning for power companies with hybrid production technologies under multiple renewable energy policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    38. Chang, Kai & Wan, Qiong & Lou, Qichun & Chen, Yili & Wang, Weihong, 2020. "Green fiscal policy and firms’ investment efficiency: New insights into firm-level panel data from the renewable energy industry in China," Renewable Energy, Elsevier, vol. 151(C), pages 589-597.
    39. Li, Longxi & Cao, Xilin, 2022. "Comprehensive effectiveness assessment of energy storage incentive mechanisms for PV-ESS projects based on compound real options," Energy, Elsevier, vol. 239(PA).
    40. Jungmin An & Dong-Kwan Kim & Jinyeong Lee & Sung-Kwan Joo, 2021. "Least Squares Monte Carlo Simulation-Based Decision-Making Method for Photovoltaic Investment in Korea," Sustainability, MDPI, vol. 13(19), pages 1-14, September.
    41. Ruoxuan Li & Huwei Wen & Xinpeng Huang & Yaobin Liu, 2023. "Renewable Energy: A Curse or Blessing—International Evidence," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    42. Chen, Si-Yuan & Xue, Meng-Tian & Wang, Zhao-Hua & Tian, Xin & Zhang, Bin, 2022. "Exploring pathways of phasing out clean heating subsidies for rural residential buildings in China," Energy Economics, Elsevier, vol. 116(C).
    43. Bangjun, Wang & Feng, Zhaolei & Feng, Ji & Yu, Pan & Cui, Linyu, 2022. "Decision making on investments in photovoltaic power generation projects based on renewable portfolio standard: Perspective of real option," Renewable Energy, Elsevier, vol. 189(C), pages 1033-1045.
    44. Hemrit, Wael & Benlagha, Noureddine, 2021. "Does renewable energy index respond to the pandemic uncertainty?," Renewable Energy, Elsevier, vol. 177(C), pages 336-347.
    45. Sendstad, Lars Hegnes & Chronopoulos, Michail, 2020. "Sequential investment in renewable energy technologies under policy uncertainty," Energy Policy, Elsevier, vol. 137(C).
    46. Yu, Shiwei & Lu, Tingwei & Hu, Xing & Liu, Lancui & Wei, Yi-Ming, 2021. "Determinants of overcapacity in China’s renewable energy industry: Evidence from wind, photovoltaic, and biomass energy enterprises," Energy Economics, Elsevier, vol. 97(C).
    47. Zanjirchi, Seyed Mahmoud & Shojaei, Sara & Naser Sadrabadi, Alireza & Jalilian, Negar, 2020. "Promotion of solar energies usage in Iran: A scenario-based road map," Renewable Energy, Elsevier, vol. 150(C), pages 278-292.
    48. Locatelli, Giorgio & Mancini, Mauro & Lotti, Giovanni, 2020. "A simple-to-implement real options method for the energy sector," Energy, Elsevier, vol. 197(C).
    49. Chang, Kai & Zeng, Yonghong & Wang, Weihong & Wu, Xin, 2019. "The effects of credit policy and financial constraints on tangible and research & development investment: Firm-level evidence from China's renewable energy industry," Energy Policy, Elsevier, vol. 130(C), pages 438-447.
    50. Shahid Ali & Qingyou Yan & Muhammad Sajjad Hussain & Muhammad Irfan & Munir Ahmad & Asif Razzaq & Vishal Dagar & Cem Işık, 2021. "Evaluating Green Technology Strategies for the Sustainable Development of Solar Power Projects: Evidence from Pakistan," Sustainability, MDPI, vol. 13(23), pages 1-29, November.
    51. Hu, Junfei & Chen, Huanyue & Zhou, Peng & Guo, Peng, 2022. "Optimal subsidy level for waste-to-energy investment considering flexibility and uncertainty," Energy Economics, Elsevier, vol. 108(C).
    52. Yang, Changhui & Jiang, Qi & Cui, Yangyu & He, Lijun, 2023. "Photovoltaic project investment based on the real options method: An analysis of the East China power grid region," Utilities Policy, Elsevier, vol. 80(C).
    53. Anna Carolina Martins & Marcelo de Carvalho Pereira & Roberto Pasqualino, 2023. "Renewable Electricity Transition: A Case for Evaluating Infrastructure Investments through Real Options Analysis in Brazil," Sustainability, MDPI, vol. 15(13), pages 1-24, July.
    54. Ruxu Sheng & Juntian Du & Songqi Liu & Changan Wang & Zidi Wang & Xiaoqian Liu, 2021. "Solar Photovoltaic Investment Changes across China Regions Using a Spatial Shift-Share Analysis," Energies, MDPI, vol. 14(19), pages 1-14, October.
    55. Briest, Gordon & Lauven, Lars-Peter & Kupfer, Stefan & Lukas, Elmar, 2022. "Leaving well-worn paths: Reversal of the investment-uncertainty relationship and flexible biogas plant operation," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1162-1176.
    56. Tu, Qiang & Mo, Jianlei & Betz, Regina & Cui, Lianbiao & Fan, Ying & Liu, Yu, 2020. "Achieving grid parity of solar PV power in China- The role of Tradable Green Certificate," Energy Policy, Elsevier, vol. 144(C).
    57. Chen, Weidong & Zeng, Yu & Xu, Chongqing, 2019. "Energy storage subsidy estimation for microgrid: A real option game-theoretic approach," Applied Energy, Elsevier, vol. 239(C), pages 373-382.
    58. Lin, Boqiang & Wu, Wei, 2017. "Cost of long distance electricity transmission in China," Energy Policy, Elsevier, vol. 109(C), pages 132-140.
    59. Lei Zhu & Xing Yao & Xian Zhang, 2020. "Evaluation of cooperative mitigation: captured carbon dioxide for enhanced oil recovery," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1261-1285, October.
    60. Zhang, Mingming & Liu, Liyun & Wang, Qunwei & Zhou, Dequn, 2020. "Valuing investment decisions of renewable energy projects considering changing volatility," Energy Economics, Elsevier, vol. 92(C).
    61. Yao, Xing & Fan, Ying & Zhu, Lei & Zhang, Xian, 2020. "Optimization of dynamic incentive for the deployment of carbon dioxide removal technology: A nonlinear dynamic approach combined with real options," Energy Economics, Elsevier, vol. 86(C).
    62. Zhang, M.M. & Zhang, C. & Liu, L.Y. & Zhou, D.Q., 2020. "Is it time to launch grid parity in the Chinese solar photovoltaic industry? Evidence from 335 cities," Energy Policy, Elsevier, vol. 147(C).
    63. Chen, Siyuan & Zhang, Qi & Wang, Ge & Zhu, Lijing & Li, Yan, 2018. "Investment strategy for underground gas storage facilities based on real option model considering gas market reform in China," Energy Economics, Elsevier, vol. 70(C), pages 132-142.
    64. Fernandes, Gláucia & Lima Gomes, Leonardo & Teixeira Brandão, Luiz Eduardo, 2019. "Mitigating Hydrological Risk with Energy Derivatives," Energy Economics, Elsevier, vol. 81(C), pages 528-535.
    65. Hortay, Olivér & Rozner, Bence Péter, 2019. "Allocating renewable subsidies," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 236-247.
    66. Moon, Yongma & Baran, Mesut, 2018. "Economic analysis of a residential PV system from the timing perspective: A real option model," Renewable Energy, Elsevier, vol. 125(C), pages 783-795.
    67. Kodad Rajaa & Jingfeng Yuan & Lei Zhang & Junwei Ma & Lei Zhang, 2021. "External Factors Affecting Investment in Overseas Electric Power Projects," Springer Books, in: Gui Ye & Hongping Yuan & Jian Zuo (ed.), Proceedings of the 24th International Symposium on Advancement of Construction Management and Real Estate, pages 1455-1472, Springer.
    68. Sirin, Selahattin Murat & Uz, Dilek & Sevindik, Irem, 2022. "How do macroeconomic dynamics affect small and medium-sized enterprises (SMEs) in the power sector in developing economies: Evidence from Turkey," Energy Policy, Elsevier, vol. 168(C).
    69. Martina Assereto & Julie Byrne, 2020. "The Implications of Policy Uncertainty on Solar Photovoltaic Investment," Energies, MDPI, vol. 13(23), pages 1-20, November.
    70. Liu, Xiaoran & Ronn, Ehud I., 2020. "Using the binomial model for the valuation of real options in computing optimal subsidies for Chinese renewable energy investments," Energy Economics, Elsevier, vol. 87(C).
    71. Àlex Alonso-Travesset & Diederik Coppitters & Helena Martín & Jordi de la Hoz, 2023. "Economic and Regulatory Uncertainty in Renewable Energy System Design: A Review," Energies, MDPI, vol. 16(2), pages 1-30, January.
    72. Agaton, Casper, 2017. "Real Options Analysis of Renewable Energy Investment Scenarios in the Philippines," MPRA Paper 83478, University Library of Munich, Germany.
    73. Yiju Ma & Kevin Swandi & Archie Chapman & Gregor Verbic, 2019. "Multi-Stage Compound Real Options Valuation in Residential PV-Battery Investment," Papers 1910.09132, arXiv.org.

  68. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.

    Cited by:

    1. Lee, Junghwan & Kim, Jinsoo, 2023. "Are electric vehicles more efficient? A slacks-based data envelopment analysis for European road passenger transportation," Energy, Elsevier, vol. 279(C).
    2. Yoon Seong Kim & Eun Jin Han & So Young Sohn, 2017. "Demand Forecasting for Heavy-Duty Diesel Engines Considering Emission Regulations," Sustainability, MDPI, vol. 9(2), pages 1-16, January.
    3. Chu, Junfei & Shao, Caifeng & Emrouznejad, Ali & Wu, Jie & Yuan, Zhe, 2021. "Performance evaluation of organizations considering economic incentives for emission reduction: A carbon emission permit trading approach," Energy Economics, Elsevier, vol. 101(C).
    4. Sicen Liu & Xiaodong Chen & Zhiyang Shen & Tomas Baležentis, 2022. "Industrial energy consumption and pollutant emissions: Combined decomposition of relative performance and absolute changes," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3454-3469, November.
    5. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Lu, Longxi & He, Yu, 2017. "The effect of energy construction adjustment on the dynamical evolution of energy-saving and emission-reduction system in China," Applied Energy, Elsevier, vol. 196(C), pages 180-189.
    6. Cayir Ervural, Beyzanur & Zaim, Selim & Delen, Dursun, 2018. "A two-stage analytical approach to assess sustainable energy efficiency," Energy, Elsevier, vol. 164(C), pages 822-836.
    7. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    8. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
    9. John M. DeCicco, 2018. "Methodological Issues Regarding Biofuels and Carbon Uptake," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    10. Yiru Jiang & Xinjun Wang, 2024. "Evaluation, Driving Mechanism and Spatial Correlation Analysis of Atmospheric Environmental Efficiency in the “2+26” Cities Based on the Nonradial MEA Model," Sustainability, MDPI, vol. 16(2), pages 1-23, January.
    11. Xinna Zhao & Chongwen Zhong, 2017. "Low Carbon Economy Performance Analysis with the Intertemporal Effect of Capital in China," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
    12. Zhang, Yue-Jun & Jiang, Lin & Shi, Wei, 2020. "Exploring the growth-adjusted energy-emission efficiency of transportation industry in China," Energy Economics, Elsevier, vol. 90(C).
    13. Chen, Zhenling & Zhang, Xiaoling & Ni, Guohua, 2020. "Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions," Energy Policy, Elsevier, vol. 139(C).
    14. Eguchi, Shogo & Takayabu, Hirotaka & Lin, Chen, 2021. "Sources of inefficient power generation by coal-fired thermal power plants in China: A metafrontier DEA decomposition approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    15. Sun, Yong & Liu, Baoyin & Sun, Zhongrui & Yang, Ruijia, 2023. "Inter-regional cooperation in the transfers of energy-intensive industry: An evolutionary game approach," Energy, Elsevier, vol. 282(C).
    16. Ota, Toru & Kakinaka, Makoto & Kotani, Koji, 2018. "Demographic effects on residential electricity and city gas consumption in the aging society of Japan," Energy Policy, Elsevier, vol. 115(C), pages 503-513.
    17. Lin, Boqiang & Xu, Mengmeng, 2019. "Good subsidies or bad subsidies? Evidence from low-carbon transition in China's metallurgical industry," Energy Economics, Elsevier, vol. 83(C), pages 52-60.
    18. Liu, Xiping & Zhang, Xiaoling & Sun, Wen, 2022. "Does the agglomeration of urban producer services promote carbon efficiency of manufacturing industry?," Land Use Policy, Elsevier, vol. 120(C).
    19. Zhang, Puwei & You, Jianxin & Jia, Guangshe & Chen, Jindao & Yu, Anyu, 2018. "Estimation of carbon efficiency decomposition in materials and potential material savings for China's construction industry," Resources Policy, Elsevier, vol. 59(C), pages 148-159.
    20. Huiru Zhao & Guo Huang & Ning Yan, 2018. "Forecasting Energy-Related CO 2 Emissions Employing a Novel SSA-LSSVM Model: Considering Structural Factors in China," Energies, MDPI, vol. 11(4), pages 1-21, March.
    21. Jiekun Song & Rui Chen & Xiaoping Ma, 2022. "Provincial Allocation of Energy Consumption, Air Pollutant and CO 2 Emission Quotas in China: Based on a Weighted Environment ZSG-DEA Model," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    22. Yong Wang & Han Zhao & Fumei Duan & Ying Wang, 2018. "Initial Provincial Allocation and Equity Evaluation of China’s Carbon Emission Rights—Based on the Improved TOPSIS Method," Sustainability, MDPI, vol. 10(4), pages 1-27, March.
    23. Cai, Bofeng & Guo, Huanxiu & Ma, Zipeng & Wang, Zhixuan & Dhakal, Shobhakar & Cao, Libin, 2019. "Benchmarking carbon emissions efficiency in Chinese cities: A comparative study based on high-resolution gridded data," Applied Energy, Elsevier, vol. 242(C), pages 994-1009.
    24. Muhammad Usman & Zhiqiang Ma & Muhammad Wasif Zafar & Abdul Haseeb & Rana Umair Ashraf, 2019. "Are Air Pollution, Economic and Non-Economic Factors Associated with Per Capita Health Expenditures? Evidence from Emerging Economies," IJERPH, MDPI, vol. 16(11), pages 1-22, June.
    25. Rongrong Liu & Dong Chen & Suchang Yang & Yang Chen, 2021. "Evaluation of Green Development Efficiency of the Major Cities in Gansu Province, China," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    26. Qian Wang & Duo Li & Tzu-Han Chang, 2019. "Energy and Health Efficiencies in China with the Inclusion of Technological Innovation," IJERPH, MDPI, vol. 16(21), pages 1-20, October.
    27. Sinha, Avik & Shahbaz, Muhammad & Balsalobre, Daniel, 2017. "Exploring the Relationship between Energy Usage Segregation and Environmental Degradation in N-11 Countries," MPRA Paper 81212, University Library of Munich, Germany, revised 07 Sep 2017.
    28. Ke-Liang Wang & Li-Li Ding & Jian-Min Wang & Mian Yang, 2020. "Analysis of provincial total-factor air pollution efficiency in China by using context-dependent slacks-based measure considering undesirable outputs," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1899-1921, November.
    29. Ya Chen & Wei Xu & Qian Zhou & Zhixiang Zhou, 2020. "Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    30. Yu, Yantuan & Zhang, Ning, 2021. "Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 96(C).
    31. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
    32. Wen, Quan & Hong, Jingke & Liu, Guiwen & Xu, Pengpeng & Tang, Miaohan & Li, Zhongfu, 2020. "Regional efficiency disparities in China’s construction sector: A combination of multiregional input–output and data envelopment analyses," Applied Energy, Elsevier, vol. 257(C).
    33. Lin, Boqiang & Zhu, Junpeng, 2020. "Chinese electricity demand and electricity consumption efficiency: Do the structural changes matter?," Applied Energy, Elsevier, vol. 262(C).
    34. Jinkai Li & Jingjing Ma & Wei Wei, 2020. "Analysis and Evaluation of the Regional Characteristics of Carbon Emission Efficiency for China," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
    35. de la Rue du Can, Stephane & Pudleiner, David & Pielli, Katrina, 2018. "Energy efficiency as a means to expand energy access: A Uganda roadmap," Energy Policy, Elsevier, vol. 120(C), pages 354-364.
    36. Feng, Yingjie & Zhu, Aikong & Wang, Jingya & Xia, Ke & Liu, Zhenglan, 2023. "Study on the low-carbon development under a resources-dependent framework of water-land -energy utilization: Evidence from the Yellow River Basin, China," Energy, Elsevier, vol. 280(C).
    37. Shaojian Qu & Yuting Xu & Ying Ji & Can Feng & Jinpeng Wei & Shan Jiang, 2022. "Data-Driven Robust Data Envelopment Analysis for Evaluating the Carbon Emissions Efficiency of Provinces in China," Sustainability, MDPI, vol. 14(20), pages 1-26, October.
    38. Walter Leal Filho & Mariia Fedoruk & Lyudmyla Zahvoyska & Lucas Veiga Avila, 2021. "Identifying and Comparing Obstacles and Incentives for the Implementation of Energy Saving Projects in Eastern and Western European Countries: An Exploratory Study," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    39. Bhowmik, Chiranjib & Bhowmik, Sumit & Ray, Amitava & Pandey, Krishna Murari, 2017. "Optimal green energy planning for sustainable development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 796-813.
    40. Haihong Song & Liyuan Gu & Yifan Li & Xin Zhang & Yuan Song, 2022. "Research on Carbon Emission Efficiency Space Relations and Network Structure of the Yellow River Basin City Cluster," IJERPH, MDPI, vol. 19(19), pages 1-19, September.
    41. Keyi Duan & Mingyao Cao & Nurhafiza Abdul Kader Malim & Yan Song, 2022. "Nonlinear Relationship between Financial Development and CO 2 Emissions—Based on a PSTR Model," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    42. Wei Yang & Zudi Lu & Di Wang & Yanmin Shao & Jinfeng Shi, 2020. "Sustainable Evolution of China’s Regional Energy Efficiency Based on a Weighted SBM Model with Energy Substitutability," Sustainability, MDPI, vol. 12(23), pages 1-22, December.
    43. Zhang, Yue-Jun & Liu, Jing-Yue & Su, Bin, 2020. "Carbon congestion effects in China's industry: Evidence from provincial and sectoral levels," Energy Economics, Elsevier, vol. 86(C).
    44. Daming You & Ke Jiang & Zhendong Li, 2018. "Optimal Coordination Strategy of Regional Vertical Emission Abatement Collaboration in a Low-Carbon Environment," Sustainability, MDPI, vol. 10(2), pages 1-18, February.
    45. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    46. Yu, Bolin & Fang, Debin & Pan, Yuling & Jia, Yunxia, 2023. "Countries’ green total-factor productivity towards a low-carbon world: The role of energy trilemma," Energy, Elsevier, vol. 278(PB).
    47. Inmaculada Carrasco & Juan Sebastián Castillo-Valero & Carmen Córcoles & Marcos Carchano, 2021. "Greening Wine Exports? Changes in the Carbon Footprint of Spanish Wine Exports," IJERPH, MDPI, vol. 18(17), pages 1-13, August.
    48. Weicheng Xu & Xiaoyi Feng & Yiying Zhu, 2023. "The Impact of Green Finance on Carbon Emissions in China: An Energy Consumption Optimization Perspective," Sustainability, MDPI, vol. 15(13), pages 1-23, July.
    49. Li-Ming Xue & Zhi-Xue Zheng & Shuo Meng & Mingjun Li & Huaqing Li & Ji-Ming Chen, 2022. "Carbon emission efficiency and spatio-temporal dynamic evolution of the cities in Beijing-Tianjin-Hebei Region, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7640-7664, June.
    50. Ma, Ding & Fei, Rilong & Yu, Yongsheng, 2019. "How government regulation impacts on energy and CO2 emissions performance in China's mining industry," Resources Policy, Elsevier, vol. 62(C), pages 651-663.
    51. Wenchao Li & Jian Xu & Zhengming Wang & Jialiang Yang, 2020. "The impact of LCTI on China's low-carbon transformation from the spatial spillover perspective," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-11, November.
    52. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
    53. Zheng, Saina & Lam, Chor-Man & Hsu, Shu-Chien & Ren, Jingzheng, 2018. "Evaluating efficiency of energy conservation measures in energy service companies in China," Energy Policy, Elsevier, vol. 122(C), pages 580-591.
    54. Azam, Muhammad & Younes, Ben Zaied & Hunjra, Ahmed Imran & Hussain, Nazim, 2022. "Integrated Spatial-Temporal decomposition analysis for life cycle assessment of carbon emission intensity change in various regions of China," Resources Policy, Elsevier, vol. 79(C).
    55. Chen, Ya & Pan, Yongbin & Wang, Mengyuan & Ding, Tao & Zhou, Zhixiang & Wang, Ke, 2023. "How do industrial sectors contribute to carbon peaking and carbon neutrality goals? A heterogeneous energy efficiency analysis for Beijing," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 67-80.
    56. Juanjuan Tian & Xiaoqian Song & Jinsuo Zhang, 2022. "Spatial-Temporal Pattern and Driving Factors of Carbon Efficiency in China: Evidence from Panel Data of Urban Governance," Energies, MDPI, vol. 15(7), pages 1-24, March.
    57. Li, Han & You, Shijun & Zhang, Huan & Zheng, Wandong & Zheng, Xuejing & Jia, Jie & Ye, Tianzhen & Zou, Lanjun, 2017. "Modelling of AQI related to building space heating energy demand based on big data analytics," Applied Energy, Elsevier, vol. 203(C), pages 57-71.
    58. Shabani, Mohadeseh & Kordrostami, Sohrab & Jahani Sayyad Noveiri, Monireh, 2023. "Renewable energy performance analysis using fuzzy dynamic directional distance function model under natural and managerial disposability," Applied Energy, Elsevier, vol. 352(C).
    59. Zhang, Lin & Adom, Philip Kofi, 2018. "Energy Efficiency Transitions in China: How persistent are the movements to/from the frontier?," MPRA Paper 94797, University Library of Munich, Germany.
    60. Du, Xiaoyun & Meng, Conghui & Guo, Zhenhua & Yan, Hang, 2023. "An improved approach for measuring the efficiency of low carbon city practice in China," Energy, Elsevier, vol. 268(C).
    61. Xiangyu Teng & Fan‐peng Liu & Yung‐ho Chiu, 2020. "The impact of coal and non‐coal consumption on China's energy performance improvement," Natural Resources Forum, Blackwell Publishing, vol. 44(4), pages 334-352, November.
    62. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    63. Zeng, Shihong & Jiang, Xue & Su, Bin & Nan, Xin, 2018. "China's SO2 shadow prices and environmental technical efficiency at the province level," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 86-102.
    64. Zuoren Sun & Chao An & Huachen Sun, 2018. "Regional Differences in Energy and Environmental Performance: An Empirical Study of 283 Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-28, July.
    65. Guo, Ran & Yuan, Yijun, 2020. "Different types of environmental regulations and heterogeneous influence on energy efficiency in the industrial sector: Evidence from Chinese provincial data," Energy Policy, Elsevier, vol. 145(C).
    66. Su, Bin & Goh, Tian & Ang, B.W. & Ng, Tsan Sheng, 2022. "Energy consumption and energy efficiency trends in Singapore: The case of a meticulously planned city," Energy Policy, Elsevier, vol. 161(C).
    67. Lin, Boqiang & Chen, Xing, 2020. "How technological progress affects input substitution and energy efficiency in China: A case of the non-ferrous metals industry," Energy, Elsevier, vol. 206(C).
    68. Rongrong Xu & Yongxiang Wu & Gaoxu Wang & Xuan Zhang & Wei Wu & Zan Xu, 2019. "Evaluation of industrial water use efficiency considering pollutant discharge in China," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-22, August.
    69. Xiaoming Jiang & Chuiyong Zheng & Chao Liu & Wenjian Zhang, 2020. "Coupling between Carbon Efficiency and Technology Absorptive Capacity—A Case Study of the Yangtze River Economic Belt," Sustainability, MDPI, vol. 12(19), pages 1-16, September.
    70. Tiancai Xing & Qichuan Jiang & Xuejiao Ma, 2017. "To Facilitate or Curb? The Role of Financial Development in China’s Carbon Emissions Reduction Process: A Novel Approach," IJERPH, MDPI, vol. 14(10), pages 1-39, October.
    71. Linlin Zhao & Lin Zhang & Yong Zha, 2019. "Industrial Efficiency Evaluation in China: A Nonparametric Production-Frontier Approach," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    72. Boban Djordjević & Evelin Krmac, 2019. "Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach," Energies, MDPI, vol. 12(15), pages 1-27, July.
    73. Tan, Shukui & Hu, Bixia & Kuang, Bing & Zhou, Min, 2021. "Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze River Delta, China," Land Use Policy, Elsevier, vol. 106(C).
    74. Fan, Meiting & Li, Mengxu & Liu, Jianghua & Shao, Shuai, 2022. "Is high natural resource dependence doomed to low carbon emission efficiency? Evidence from 283 cities in China," Energy Economics, Elsevier, vol. 115(C).
    75. Huaming Chen & Jia Liu & Ying Li & Yung-Ho Chiu & Tai-Yu Lin, 2019. "A Two-stage Dynamic Undesirable Data Envelopment Analysis Model Focused on Media Reports and the Impact on Energy and Health Efficiency," IJERPH, MDPI, vol. 16(9), pages 1-23, April.
    76. Xing, Menglin & Liu, Xiaojun & Luo, Fuzhou, 2023. "How does the development of urban agglomeration affect the electricity efficiency of resource-based cities?—An empirical research based on the fsQCA method," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    77. Sun Meng & Wei Zhou & Jin Chen & Cheng Zhang, 2018. "A synthesized data envelopment analysis model and its application in resource efficiency evaluation and dynamic trend analysis," Energy & Environment, , vol. 29(2), pages 260-280, March.
    78. Gao, Yuning & Zhang, Meichen & Zheng, Jinghai, 2021. "Accounting and determinants analysis of China's provincial total factor productivity considering carbon emissions," China Economic Review, Elsevier, vol. 65(C).
    79. Zhang, Sheng & Yu, Ran & Wen, Zuhui & Xu, Jiayu & Liu, Peihan & Zhou, Yunqiao & Zheng, Xiaoqi & Wang, Lei & Hao, Jiming, 2023. "Impact of labor and energy allocation imbalance on carbon emission efficiency in China's industrial sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    80. Ning Xu & He Zhang & Tixin Li & Xiao Ling & Qian Shen, 2022. "How Big Data Affect Urban Low-Carbon Transformation—A Quasi-Natural Experiment from China," IJERPH, MDPI, vol. 19(23), pages 1-16, December.
    81. Zhang, Lin & Zhao, Linlin & Zha, Yong, 2021. "Efficiency evaluation of Chinese regional industrial systems using a dynamic two-stage DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    82. Liu, Xiaohong & Yang, Jiangjiang & Xu, Chengzhen & Li, Xingchen & Zhu, Qingyuan, 2023. "Environmental regulation efficiency analysis by considering regional heterogeneity," Resources Policy, Elsevier, vol. 83(C).
    83. Geng, ZhiQiang & Dong, JunGen & Han, YongMing & Zhu, QunXiong, 2017. "Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes," Applied Energy, Elsevier, vol. 205(C), pages 465-476.
    84. Andrew Chapman & Hidemichi Fujii & Shunsuke Managi, 2018. "Key Drivers for Cooperation toward Sustainable Development and the Management of CO 2 Emissions: Comparative Analysis of Six Northeast Asian Countries," Sustainability, MDPI, vol. 10(1), pages 1-12, January.
    85. Li, Ye & Chen, Yiyan & Li, Qun, 2020. "Assessment analysis of green development level based on S-type cloud model of Beijing-Tianjin-Hebei, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    86. Huang, Junbing & Du, Dan & Hao, Yu, 2017. "The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations," Economic Modelling, Elsevier, vol. 65(C), pages 41-50.
    87. Lianshui Li & Yang Cai & Liang Liu, 2019. "Research on the Effect of Urbanization on China’s Carbon Emission Efficiency," Sustainability, MDPI, vol. 12(1), pages 1-16, December.
    88. Margaréta Halická & Mária Trnovská, 2018. "Negative features of hyperbolic and directional distance models for technologies with undesirable outputs," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 887-907, December.
    89. Meng, Fanxin & Liu, Gengyuan & Liang, Sai & Su, Meirong & Yang, Zhifeng, 2019. "Critical review of the energy-water-carbon nexus in cities," Energy, Elsevier, vol. 171(C), pages 1017-1032.
    90. Zhang, Ning & Huang, Xuhui & Qi, Chao, 2022. "The effect of environmental regulation on the marginal abatement cost of industrial firms: Evidence from the 11th Five-Year Plan in China," Energy Economics, Elsevier, vol. 112(C).
    91. Qingxian An & Xiangyang Tao & Bo Dai & Jinlin Li, 2020. "Modified Distance Friction Minimization Model with Undesirable Output: An Application to the Environmental Efficiency of China’s Regional Industry," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1047-1071, April.

  69. Wang, Qunwei & Hang, Ye & Zhou, P. & Wang, Yizhong, 2016. "Decoupling and attribution analysis of industrial carbon emissions in Taiwan," Energy, Elsevier, vol. 113(C), pages 728-738.

    Cited by:

    1. Ding, Yang & Li, Feng, 2017. "Examining the effects of urbanization and industrialization on carbon dioxide emission: Evidence from China's provincial regions," Energy, Elsevier, vol. 125(C), pages 533-542.
    2. Cristina Cautisanu & Mariana Hatmanu, 2023. "A Study of the Decoupling of Economic Growth from CO 2 and HFCs Emissions in the EU27 Countries," Energies, MDPI, vol. 16(14), pages 1-23, July.
    3. Liu, Xiao & Zhou, Dequn & Zhou, Peng & Wang, Qunwei, 2017. "What drives CO2 emissions from China’s civil aviation? An exploration using a new generalized PDA method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 30-45.
    4. Qinyi Huang & Yu Zhang, 2021. "Decoupling and Decomposition Analysis of Agricultural Carbon Emissions: Evidence from Heilongjiang Province, China," IJERPH, MDPI, vol. 19(1), pages 1-16, December.
    5. Liu, Nan & Ma, Zujun & Kang, Jidong & Su, Bin, 2019. "A multi-region multi-sector decomposition and attribution analysis of aggregate carbon intensity in China from 2000 to 2015," Energy Policy, Elsevier, vol. 129(C), pages 410-421.
    6. Badrinarayanan, Rajagopalan & Tseng, King Jet & Soong, Boon Hee & Wei, Zhongbao, 2017. "Modelling and control of vanadium redox flow battery for profile based charging applications," Energy, Elsevier, vol. 141(C), pages 1479-1488.
    7. Liu, Nan & Ma, Zujun & Kang, Jidong, 2017. "A regional analysis of carbon intensities of electricity generation in China," Energy Economics, Elsevier, vol. 67(C), pages 268-277.
    8. Chen, Jiandong & Wang, Ping & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2018. "Decomposition and decoupling analysis of CO2 emissions in OECD," Applied Energy, Elsevier, vol. 231(C), pages 937-950.
    9. Hualong Yang & Xuefei Ma, 2019. "Uncovering CO 2 Emissions Patterns from China-Oriented International Maritime Transport: Decomposition and Decoupling Analysis," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    10. Liang, Wei & Gan, Ting & Zhang, Wei, 2019. "Dynamic evolution of characteristics and decomposition of factors influencing industrial carbon dioxide emissions in China: 1991–2015," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 93-106.
    11. Chun Chih Chen, 2021. "The path to a 2025 nuclear-free Taiwan: An analysis of dynamic competition among emissions, energy, and economy," Energy & Environment, , vol. 32(4), pages 668-689, June.
    12. Huang, Fei & Zhou, Dequn & Wang, Qunwei & Hang, Ye, 2019. "Decomposition and attribution analysis of the transport sector’s carbon dioxide intensity change in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 343-358.
    13. Dayong Wu & Changwei Yuan & Hongchao Liu, 2018. "The decoupling states of CO2 emissions in the Chinese transport sector from 1994 to 2012: A perspective on fuel types," Energy & Environment, , vol. 29(4), pages 591-612, June.
    14. Li-San Hung & Chongming Wang, 2022. "Decision-making process related to climate change mitigation among married-couple households: A case study of Taiwan," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(8), pages 1-18, December.
    15. Xinlin Zhang & Yuan Zhao & Qi Sun & Changjian Wang, 2017. "Decomposition and Attribution Analysis of Industrial Carbon Intensity Changes in Xinjiang, China," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    16. Huangling Gu & Yan Liu & Hao Xia & Xiao Tan & Yanjia Zeng & Xianchao Zhao, 2023. "Spatiotemporal Dynamic Evolution and Its Driving Mechanism of Carbon Emissions in Hunan Province in the Last 20 Years," IJERPH, MDPI, vol. 20(4), pages 1-25, February.
    17. Ping Zhou & Hailing Li, 2022. "Carbon Emissions from Manufacturing Sector in Jiangsu Province: Regional Differences and Decomposition of Driving Factors," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    18. Cheng, Shulei & Wang, Ping & Chen, Boyang & Fan, Wei, 2022. "Decoupling and decomposition analysis of CO2 emissions from government spending in China," Energy, Elsevier, vol. 243(C).
    19. Haiyan Duan & Xize Dong & Pinlei Xie & Siyan Chen & Baoyang Qin & Zijia Dong & Wei Yang, 2022. "Peaking Industrial CO 2 Emission in a Typical Heavy Industrial Region: From Multi-Industry and Multi-Energy Type Perspectives," IJERPH, MDPI, vol. 19(13), pages 1-30, June.
    20. Xian’en Wang & Tingyu Hu & Junnian Song & Haiyan Duan, 2022. "Tracking Key Industrial Sectors for CO 2 Mitigation through the Driving Effects: An Attribution Analysis," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    21. Xue-Ting Jiang & Jie-Fang Dong & Xing-Min Wang & Rong-Rong Li, 2016. "The Multilevel Index Decomposition of Energy-Related Carbon Emission and Its Decoupling with Economic Growth in USA," Sustainability, MDPI, vol. 8(9), pages 1-16, August.
    22. Decai Tang & Tingyu Ma & Zhijiang Li & Jiexin Tang & Brandon J. Bethel, 2016. "Trend Prediction and Decomposed Driving Factors of Carbon Emissions in Jiangsu Province during 2015–2020," Sustainability, MDPI, vol. 8(10), pages 1-15, October.
    23. Radwan, Amira & Hongyun, Han & Achraf, Abdelhak & Mustafa, Ahmed M., 2022. "Energy use and energy-related carbon dioxide emissions drivers in Egypt's economy: Focus on the agricultural sector with a structural decomposition analysis," Energy, Elsevier, vol. 258(C).
    24. Jingyuan Li & Jinhua Cheng & Beidi Diao & Yaqi Wu & Peiqi Hu & Shurui Jiang, 2021. "Social and Economic Factors of Industrial Carbon Dioxide in China: From the Perspective of Spatiotemporal Transition," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    25. Rui Jiang & Yulin Zhou & Rongrong Li, 2018. "Moving to a Low-Carbon Economy in China: Decoupling and Decomposition Analysis of Emission and Economy from a Sector Perspective," Sustainability, MDPI, vol. 10(4), pages 1-12, March.
    26. Shiming Liao & Dong Wang & Ting Ren & Xuemin Liu, 2022. "Heterogeneity and Decomposition Analysis of Manufacturing Carbon Dioxide Emissions in China’s Post-Industrial Innovative Megacity Shenzhen," IJERPH, MDPI, vol. 19(23), pages 1-19, November.
    27. Leal, Patrícia Alexandra & Marques, António Cardoso & Fuinhas, José Alberto, 2019. "Decoupling economic growth from GHG emissions: Decomposition analysis by sectoral factors for Australia," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 12-26.
    28. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Meng, Bo, 2021. "Attribution of changes in an intensity index," Energy, Elsevier, vol. 216(C).

  70. Zhou, P. & Jin, R.Y. & Fan, L.W., 2016. "Reliability and economic evaluation of power system with renewables: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 537-547.

    Cited by:

    1. Yang, Yu & Liu, Zhiqiang & Xie, Nan & Wang, Jiaqiang & Cui, Yanping & Agbodjan, Yawovi Souley, 2023. "Multi-criteria optimization of multi-energy complementary systems considering reliability, economic and environmental effects," Energy, Elsevier, vol. 269(C).
    2. Wenxia Liu & Dapeng Guo & Yahui Xu & Rui Cheng & Zhiqiang Wang & Yueqiao Li, 2018. "Reliability Assessment of Power Systems with Photovoltaic Power Stations Based on Intelligent State Space Reduction and Pseudo-Sequential Monte Carlo Simulation," Energies, MDPI, vol. 11(6), pages 1-14, June.
    3. Xiaoyan Sun & Wenwei Lian & Hongmei Duan & Anjian Wang, 2021. "Factors Affecting Wind Power Efficiency: Evidence from Provincial-Level Data in China," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    4. Chankook Park & Minkyu Kim, 2021. "A Study on the Characteristics of Academic Topics Related to Renewable Energy Using the Structural Topic Modeling and the Weak Signal Concept," Energies, MDPI, vol. 14(5), pages 1-24, March.
    5. Maradin Dario & Cerović Ljerka & Mjeda Trina, 2017. "Economic Effects of Renewable Energy Technologies," Naše gospodarstvo/Our economy, Sciendo, vol. 63(2), pages 49-59, June.
    6. Pan, Peiyuan & Peng, Weike & Li, Jiarui & Chen, Heng & Xu, Gang & Liu, Tong, 2022. "Design and evaluation of a conceptual waste-to-energy approach integrating plasma waste gasification with coal-fired power generation," Energy, Elsevier, vol. 238(PC).
    7. Chi, Lixun & Su, Huai & Zio, Enrico & Qadrdan, Meysam & Li, Xueyi & Zhang, Li & Fan, Lin & Zhou, Jing & Yang, Zhaoming & Zhang, Jinjun, 2021. "Data-driven reliability assessment method of Integrated Energy Systems based on probabilistic deep learning and Gaussian mixture Model-Hidden Markov Model," Renewable Energy, Elsevier, vol. 174(C), pages 952-970.
    8. Saheed Lekan Gbadamosi & Nnamdi I. Nwulu, 2020. "Optimal Power Dispatch and Reliability Analysis of Hybrid CHP-PV-Wind Systems in Farming Applications," Sustainability, MDPI, vol. 12(19), pages 1-16, October.
    9. Merk, Christine & Rehdanz, Katrin & Schröder, Carsten, 2019. "How consumers trade off supply security and green electricity: Evidence from Germany and Great Britain," Energy Economics, Elsevier, vol. 84(S1).
    10. Zapata, Sebastian & Castaneda, Monica & Franco, Carlos Jaime & Dyner, Isaac, 2019. "Clean and secure power supply: A system dynamics based appraisal," Energy Policy, Elsevier, vol. 131(C), pages 9-21.
    11. Jiang, Sufan & Gao, Shan & Pan, Guangsheng & Zhao, Xin & Liu, Yu & Guo, Yasen & Wang, Sicheng, 2020. "A novel robust security constrained unit commitment model considering HVDC regulation," Applied Energy, Elsevier, vol. 278(C).
    12. Mehra, Varun & Amatya, Reja & Ram, Rajeev J., 2018. "Estimating the value of demand-side management in low-cost, solar micro-grids," Energy, Elsevier, vol. 163(C), pages 74-87.
    13. Shang, Ce & Lin, Teng & Li, Canbing & Wang, Keyou & Ai, Qian, 2021. "Joining resilience and reliability evaluation against both weather and ageing causes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    14. Beyza, Jesus & Yusta, Jose M., 2021. "The effects of the high penetration of renewable energies on the reliability and vulnerability of interconnected electric power systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    15. Khawaja, Yara & Allahham, Adib & Giaouris, Damian & Patsios, Charalampos & Walker, Sara & Qiqieh, Issa, 2019. "An integrated framework for sizing and energy management of hybrid energy systems using finite automata," Applied Energy, Elsevier, vol. 250(C), pages 257-272.
    16. Eriksson, E.L.V. & Gray, E.MacA., 2017. "Optimization and integration of hybrid renewable energy hydrogen fuel cell energy systems – A critical review," Applied Energy, Elsevier, vol. 202(C), pages 348-364.
    17. Mariia Kozlova & Alena Lohrmann, 2021. "Steering Renewable Energy Investments in Favor of Energy System Reliability: A Call for a Hybrid Model," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    18. Jose R. Vargas-Jaramillo & Jhon A. Montanez-Barrera & Michael R. von Spakovsky & Lamine Mili & Sergio Cano-Andrade, 2019. "Effects of Producer and Transmission Reliability on the Sustainability Assessment of Power System Networks," Energies, MDPI, vol. 12(3), pages 1-21, February.
    19. Antonelli, Marco & Desideri, Umberto & Franco, Alessandro, 2018. "Effects of large scale penetration of renewables: The Italian case in the years 2008–2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3090-3100.
    20. He, YongXiu & Liu, Yang & Li, MoXing & Zhang, Yan, 2022. "Benefit evaluation and mechanism design of pumped storage plants under the background of power market reform - A case study of China," Renewable Energy, Elsevier, vol. 191(C), pages 796-806.
    21. Jiang, Sufan & Wu, Chuanshen & Gao, Shan & Pan, Guangsheng & Liu, Yu & Zhao, Xin & Wang, Sicheng, 2022. "Robust frequency risk-constrained unit commitment model for AC-DC system considering wind uncertainty," Renewable Energy, Elsevier, vol. 195(C), pages 395-406.
    22. Hamza Abunima & Jiashen Teh & Ching-Ming Lai & Hussein Jumma Jabir, 2018. "A Systematic Review of Reliability Studies on Composite Power Systems: A Coherent Taxonomy Motivations, Open Challenges, Recommendations, and New Research Directions," Energies, MDPI, vol. 11(9), pages 1-37, September.

  71. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.

    Cited by:

    1. Zhaohua, Wang & Jingyun, Li & Bin, Lu & Bo, Wang & Bin, Zhang & Kaining, Sun & Mao, Fan, 2023. "Effectiveness and risk of initial carbon quota allocation principle under the uncertainty of the Chinese electricity market," China Economic Review, Elsevier, vol. 77(C).
    2. Li, Mengyu & Duan, Maosheng, 2020. "Efforts-sharing to achieve the Paris goals: Ratcheting-up of NDCs and taking full advantage of international carbon market," Applied Energy, Elsevier, vol. 280(C).
    3. Qinliang Tan & Jin Zheng & Yihong Ding & Yimei Zhang, 2020. "Provincial Carbon Emission Quota Allocation Study in China from the Perspective of Abatement Cost and Regional Cooperation," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    4. Shuohua Zhang & Hanning Dong & Can Lu & Wei Li, 2023. "Carbon Emission Projection and Carbon Quota Allocation in the Beijing–Tianjin–Hebei Region of China under Carbon Neutrality Vision," Sustainability, MDPI, vol. 15(21), pages 1-29, October.
    5. Karakaya, Etem & Yılmaz, Burcu & Alataş, Sedat, 2018. "How Production Based and Consumption Based Emissions Accounting Systems Change Climate Policy Analysis: The Case of CO2 Convergence," MPRA Paper 88781, University Library of Munich, Germany.
    6. Stefano Moretti & Raja Trabelsi, 2021. "A Double-Weighted Bankruptcy Method to Allocate CO2 Emissions Permits," Post-Print hal-03835536, HAL.
    7. Stefano Moretti & Raja Trabelsi, 2021. "A Double-Weighted Bankruptcy Method to Allocate CO 2 Emissions Permits," Games, MDPI, vol. 12(4), pages 1-21, October.
    8. Weihua Su & Yuying Wang & Dalia Streimikiene & Tomas Balezentis & Chonghui Zhang, 2020. "Carbon dioxide emission decomposition along the gradient of economic development: The case of energy sustainability in the G7 and Brazil, Russia, India, China and South Africa," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 657-669, July.
    9. Tim T. Pedersen & Mikael Skou Andersen & Marta Victoria & Gorm B. Andresen, 2021. "30.000 ways to reach 55% decarbonization of the European electricity sector," Papers 2112.07247, arXiv.org, revised Nov 2022.
    10. Xinwei Zhao & Xinsong Yang & Geng Peng & Shengjie Yue, 2023. "International Trade and Carbon Emissions: Evaluating the Role of Trade Rule Uncertainty," Sustainability, MDPI, vol. 15(15), pages 1-19, July.
    11. Shaofu Du & Jun Qian & Tianzhuo Liu & Li Hu, 2020. "Emission allowance allocation mechanism design: a low-carbon operations perspective," Annals of Operations Research, Springer, vol. 291(1), pages 247-280, August.
    12. Zhao, Jiqiang & Wu, Xianhua & Guo, Ji & Gao, Chao, 2022. "Allocation of SO2 emission rights in city agglomerations considering cross-border transmission of pollutants: A new network DEA model," Applied Energy, Elsevier, vol. 325(C).
    13. Chen, Xiaotong & Yang, Fang & Zhang, Shining & Zakeri, Behnam & Chen, Xing & Liu, Changyi & Hou, Fangxin, 2021. "Regional emission pathways, energy transition paths and cost analysis under various effort-sharing approaches for meeting Paris Agreement goals," Energy, Elsevier, vol. 232(C).
    14. Tanaka, Kenta & Matsukawa, Isamu & Managi, Shunsuke, 2020. "An experimental investigation of bilateral oligopoly in emissions trading markets," China Economic Review, Elsevier, vol. 59(C).
    15. Julianne DeAngelo & Inês Azevedo & John Bistline & Leon Clarke & Gunnar Luderer & Edward Byers & Steven J. Davis, 2021. "Energy systems in scenarios at net-zero CO2 emissions," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    16. Laura Rodríguez-Fernández & Ana Belén Fernández Carvajal & María Bujidos-Casado, 2020. "Allocation of Greenhouse Gas Emissions Using the Fairness Principle: A Multi-Country Analysis," Sustainability, MDPI, vol. 12(14), pages 1-15, July.
    17. Huang, Qian & Xu, Jiuping, 2020. "Bi-level multi-objective programming approach for carbon emission quota allocation towards co-combustion of coal and sewage sludge," Energy, Elsevier, vol. 211(C).
    18. Minxing Jiang & Bangzhu Zhu & Julien Chevallier & Rui Xie, 2018. "Allocating Provincial CO2 Quotas for the Chinese National Carbon Program," Working Papers 2018-010, Department of Research, Ipag Business School.
    19. Shuyi Wang & Zhenhua Wu & Baochen Yang, 2018. "Decision and Performance Analysis of a Price-Setting Manufacturer with Options under a Flexible-Cap Emission Trading Scheme (ETS)," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    20. Duro, Juan Antonio & Giménez-Gómez, José-Manuel & Vilella, Cori, 2020. "The allocation of CO2 emissions as a claims problem," Energy Economics, Elsevier, vol. 86(C).
    21. Wang, M. & Zhou, P., 2017. "Does emission permit allocation affect CO2 cost pass-through? A theoretical analysis," Energy Economics, Elsevier, vol. 66(C), pages 140-146.
    22. Qin, Quande & Liu, Yuan & Huang, Jia-Ping, 2020. "A cooperative game analysis for the allocation of carbon emissions reduction responsibility in China's power industry," Energy Economics, Elsevier, vol. 92(C).
    23. Shuhua Zhang & Jian Li & Bao Jiang & Tianmiao Guo, 2023. "Government Intervention, Structural Transformation, and Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    24. Guoyu Wang & Jinsheng Zhou, 2022. "Multiobjective Optimization of Carbon Emission Reduction Responsibility Allocation in the Open-Pit Mine Production Process against the Background of Peak Carbon Dioxide Emissions," Sustainability, MDPI, vol. 14(15), pages 1-21, August.
    25. Chi, Yuan-ying & Zhao, Hao & Hu, Yu & Yuan, Yong-ke & Pang, Yue-xia, 2022. "The impact of allocation methods on carbon emission trading under electricity marketization reform in China: A system dynamics analysis," Energy, Elsevier, vol. 259(C).
    26. Sun, J. & Wen, W. & Wang, M. & Zhou, P., 2022. "Optimizing the provincial target allocation scheme of renewable portfolio standards in China," Energy, Elsevier, vol. 250(C).
    27. Mei, Tianhua & Liu, Jie & Guo, Jianming & Siano, Pierluigi & Jin, Xuanxuan, 2022. "Allocation of emission allowances considering strategic voting," Energy Economics, Elsevier, vol. 114(C).
    28. Sonam Sahu & Izuru Saizen, 2019. "Emissions Sharing Observations from a Diverse Range of Countries," Sustainability, MDPI, vol. 11(15), pages 1-15, July.
    29. Wu, Yinyin & Wang, Ping & Liu, Xin & Chen, Jiandong & Song, Malin, 2020. "Analysis of regional carbon allocation and carbon trading based on net primary productivity in China," China Economic Review, Elsevier, vol. 60(C).
    30. Marian Leimbach & Anastasis Giannousakis, 2019. "Burden sharing of climate change mitigation: global and regional challenges under shared socio-economic pathways," Climatic Change, Springer, vol. 155(2), pages 273-291, July.
    31. Xuemei Bai & Syezlin Hasan & Lauren Seaby Andersen & Anders Bjørn & Şiir Kilkiş & Daniel Ospina & Jianguo Liu & Sarah E. Cornell & Oscar Sabag Muñoz & Ariane Bremond & Beatrice Crona & Fabrice DeClerc, 2024. "Translating Earth system boundaries for cities and businesses," Nature Sustainability, Nature, vol. 7(2), pages 108-119, February.
    32. Xu, Zhongwen & Yao, Liming & Liu, Qiaoling & Long, Yin, 2019. "Policy implications for achieving the carbon emission reduction target by 2030 in Japan-Analysis based on a bilevel equilibrium model," Energy Policy, Elsevier, vol. 134(C).
    33. Wen-Hsien Tsai & Shi-Yin Jhong, 2018. "Carbon Emissions Cost Analysis with Activity-Based Costing," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
    34. Charlotte Demonsant, 2020. "Overcoming the tragedy of climate change: An examination of a managerial rule of solidarity," Post-Print hal-03063693, HAL.
    35. Leimbach, Marian & Roming, Niklas & Schultes, Anselm & Schwerhoff, Gregor, 2018. "Long-Term Development Perspectives of Sub-Saharan Africa under Climate Policies," Ecological Economics, Elsevier, vol. 144(C), pages 148-159.
    36. Yang, Fan & Lee, Hyoungsuk, 2022. "An innovative provincial CO2 emission quota allocation scheme for Chinese low-carbon transition," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    37. Zhang, Yue-Jun & Peng, Yu-Lu & Ma, Chao-Qun & Shen, Bo, 2017. "Can environmental innovation facilitate carbon emissions reduction? Evidence from China," Energy Policy, Elsevier, vol. 100(C), pages 18-28.
    38. Gutiérrez, E. & Llorca, N. & Sánchez-Soriano, J. & Mosquera, M., 2018. "Sustainable allocation of greenhouse gas emission permits for firms with Leontief technologies," European Journal of Operational Research, Elsevier, vol. 269(1), pages 5-15.
    39. Wang, Zhan & Deng, Xiangzheng, 2017. "The energy policy outlets for community acceptance of ecological investment in China," Energy Policy, Elsevier, vol. 107(C), pages 669-677.
    40. Baochen Yang & Chuanze Liu & Yunpeng Su & Xin Jing, 2017. "The Allocation of Carbon Intensity Reduction Target by 2020 among Industrial Sectors in China," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    41. Roolfs, Christina & Gaitan Soto, Beatriz & Edenhofer, Ottmar & Lessmann, Kai, 2021. "Technology Beats Capital -- Sharing the Carbon Price Burden in Federal Europe," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242381, Verein für Socialpolitik / German Economic Association.
    42. Ciardiello, F. & Genovese, A. & Simpson, A., 2019. "Pollution responsibility allocation in supply networks: A game-theoretic approach and a case study," International Journal of Production Economics, Elsevier, vol. 217(C), pages 211-217.
    43. Bao-Jun Tang & Yu-Jie Hu, 2019. "How to Allocate the Allowance for the Aviation Industry in China’s Emissions Trading System," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    44. Fang, Kai & Zhang, Qifeng & Long, Yin & Yoshida, Yoshikuni & Sun, Lu & Zhang, Haoran & Dou, Yi & Li, Shuai, 2019. "How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China’s carbon emission allowance," Applied Energy, Elsevier, vol. 241(C), pages 380-389.
    45. Fei Ye & Lixu Li & Zhiqiang Wang & Yina Li, 2018. "An Asymmetric Nash Bargaining Model for Carbon Emission Quota Allocation among Industries: Evidence from Guangdong Province, China," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
    46. Xi Jin & Bin Zou & Chan Wang & Kaifeng Rao & Xiaowen Tang, 2019. "Carbon Emission Allocation in a Chinese Province-Level Region Based on Two-Stage Network Structures," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    47. Payne, James E. & Lee, Junsoo & Islam, Md. Towhidul & Nazlioglu, Saban, 2022. "Stochastic convergence of per capita greenhouse gas emissions: New unit root tests with breaks and a factor structure," Energy Economics, Elsevier, vol. 113(C).
    48. Zhong, Zhangqi & Jiang, Lei & Zhou, Peng, 2018. "Transnational transfer of carbon emissions embodied in trade: Characteristics and determinants from a spatial perspective," Energy, Elsevier, vol. 147(C), pages 858-875.
    49. Zhang, Jingxiao & Jin, Weixing & Yang, Guo-liang & Li, Hui & Ke, Yongjian & Philbin, Simon Patrick, 2021. "Optimizing regional allocation of CO2 emissions considering output under overall efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    50. Lilis Yuaningsih & R. Adjeng Mariana Febrianti & Hafiz Waqas Kamran, 2020. "Reducing CO2 Emissions through Biogas, Wind and Solar Energy Production: Evidence from Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 684-689.
    51. Ming Meng & Lixue Wang & Qu Chen, 2018. "Quota Allocation for Carbon Emissions in China’s Electric Power Industry Based Upon the Fairness Principle," Energies, MDPI, vol. 11(9), pages 1-16, August.
    52. Kejia Yang & Yalin Lei & Weiming Chen & Lingna Liu, 2018. "Carbon dioxide emission reduction quota allocation study on Chinese provinces based on two-stage Shapley information entropy model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(1), pages 321-335, March.
    53. Zhiyang Shen & Jean-Philippe Boussemart & Hervé Leleu, 2016. "Worldwide carbon shadow prices during 1990–2011," Working Papers 2016-EQM-04, IESEG School of Management.
    54. Bingxin Zeng & Lei Zhu, 2019. "Market Power and Technology Diffusion in an Energy-Intensive Sector Covered by an Emissions Trading Scheme," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    55. Yang, Mian & Hou, Yaru & Fang, Chao & Duan, Hongbo, 2020. "Constructing energy-consuming right trading system for China's manufacturing industry in 2025," Energy Policy, Elsevier, vol. 144(C).
    56. Francesco Ciardiello & Andrea Genovese & Andrew Simpson, 2020. "A unified cooperative model for environmental costs in supply chains: the Shapley value for the linear case," Annals of Operations Research, Springer, vol. 290(1), pages 421-437, July.
    57. Jing-Ming Chen & Biying Yu & Yi-Ming Wei, 2019. "CO2 emissions accounting for the chemical industry: an empirical analysis for China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1327-1343, December.
    58. Charlotte Demonsant & Armand Hatchuel & Kevin Levillain & Blanche Segrestin, 2021. "De la ressource commune au péril commun : Repenser nos modèles de l'action climatique," Post-Print hal-03630940, HAL.
    59. Guo, Ji & Zhao, Mengke & Wu, Xianhua & Shi, Beibei & Santibanez Gonzalez, Ernesto D.R., 2021. "Study on the distribution of PM emission rights in various provinces of China based on a new efficiency and equity two-objective DEA model," Ecological Economics, Elsevier, vol. 183(C).
    60. Nicholas Apergis & James E. Payne, 2020. "NAFTA and the convergence of CO2 emissions intensity and its determinants," International Economics, CEPII research center, issue 161, pages 1-9.
    61. Cheng, Shulei & Fan, Wei & Zhang, Jian & Wang, Ning & Meng, Fanxin & Liu, Gengyuan, 2021. "Multi-sectoral determinants of carbon emission inequality in Chinese clustering cities," Energy, Elsevier, vol. 214(C).
    62. Ji, D.J. & Zhou, P., 2020. "Marginal abatement cost, air pollution and economic growth: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 86(C).
    63. Duro Moreno, Juan Antonio & Giménez-Gómez, José Manuel & Sánchez-Soriano, Joaquín & Vilella Bach, Misericòrdia, 2022. "Allocating remaining carbon budgets and mitigation costs," Working Papers 2072/535074, Universitat Rovira i Virgili, Department of Economics.
    64. Siqin Xiong & Yushen Tian & Junping Ji & Xiaoming Ma, 2017. "Allocation of Energy Consumption among Provinces in China: A Weighted ZSG-DEA Model," Sustainability, MDPI, vol. 9(11), pages 1-12, November.
    65. Heidelmeier, Lisa & Sahm, Marco, 2023. "A Vertically Differentiated Duopoly Model with Environmental Awards," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277635, Verein für Socialpolitik / German Economic Association.
    66. Xiaofei Han & Jianling Jiao & Lancui Liu & Lanlan Li, 2017. "China’s energy demand and carbon dioxide emissions: do carbon emission reduction paths matter?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(3), pages 1333-1345, April.
    67. Wei Li & Guomin Li & Rongxia Zhang & Wen Sun & Wen Wu & Baihui Jin & Pengfei Cui, 2017. "Carbon Reduction Potential of Resource-Dependent Regions Based on Simulated Annealing Programming Algorithm," Sustainability, MDPI, vol. 9(7), pages 1-17, July.
    68. Yajing Liu & Shuai Zhou & Ge Zhang, 2023. "Spatio-Temporal Dynamics and Driving Forces of Multi-Scale Emissions Based on Nighttime Light Data: A Case Study of the Pearl River Delta Urban Agglomeration," Sustainability, MDPI, vol. 15(10), pages 1-24, May.
    69. Wang, M. & Zhou, P., 2022. "A two-step auction-refund allocation rule of CO2 emission permits," Energy Economics, Elsevier, vol. 113(C).
    70. Wen, Wen & Zhou, P. & Zhang, Fuqiang, 2018. "Carbon emissions abatement: Emissions trading vs consumer awareness," Energy Economics, Elsevier, vol. 76(C), pages 34-47.
    71. Jinpyo Lee & Mi Lim Lee & Minjae Park, 2018. "A Newsboy Model with Quick Response under Sustainable Carbon Cap-N-Trade," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    72. Lixia Li & Yu Yang & Gaoyuan Qin, 2019. "Optimization of Integrated Inventory Routing Problem for Cold Chain Logistics Considering Carbon Footprint and Carbon Regulations," Sustainability, MDPI, vol. 11(17), pages 1-22, August.
    73. Zhu, Bangzhu & Jiang, Mingxing & He, Kaijian & Chevallier, Julien & Xie, Rui, 2018. "Allocating CO2 allowances to emitters in China: A multi-objective decision approach," Energy Policy, Elsevier, vol. 121(C), pages 441-451.
    74. Wen-Chi Yang & Wen-Min Lu, 2023. "Achieving Net Zero—An Illustration of Carbon Emissions Reduction with A New Meta-Inverse DEA Approach," IJERPH, MDPI, vol. 20(5), pages 1-20, February.

  72. Wang, H. & Zhou, P. & Wang, Qunwei, 2016. "Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach," Energy, Elsevier, vol. 101(C), pages 218-228.

    Cited by:

    1. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
    2. Jiayang Chen & Ying Kong & Shunyong Yin & Jianjun Xia, 2022. "A Comparative Method for Assessment of Sustainable Energy Development across Regions: An Analysis of 30 Provinces in China," Energies, MDPI, vol. 15(15), pages 1-19, August.
    3. Gianluca Gucciardi, 2022. "Measuring the relative development and integration of EU countries’ capital markets using composite indicators and cluster analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(4), pages 1043-1083, November.
    4. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.
    5. Lizhan Cao & Zhongying Qi & Junxia Ren, 2017. "China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    6. Angeliki N. Menegaki, 2021. "Towards a Global Energy-Sustainable Economy Nexus; Summing up Evidence from Recent Empirical Work," Energies, MDPI, vol. 14(16), pages 1-16, August.
    7. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    8. Gunnarsdottir, I. & Davidsdottir, B. & Worrell, E. & Sigurgeirsdottir, S., 2020. "Review of indicators for sustainable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    9. Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
    10. Mohsin, M. & Zhou, P. & Iqbal, N. & Shah, S.A.A., 2018. "Assessing oil supply security of South Asia," Energy, Elsevier, vol. 155(C), pages 438-447.
    11. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Regional heterogeneity of China's energy efficiency in “new normal”: A meta-frontier Super-SBM analysis," Energy Policy, Elsevier, vol. 134(C).

  73. Zhang, M.M. & Zhou, D.Q. & Zhou, P. & Liu, G.Q., 2016. "Optimal feed-in tariff for solar photovoltaic power generation in China: A real options analysis," Energy Policy, Elsevier, vol. 97(C), pages 181-192.

    Cited by:

    1. Wang, Yongli & Gao, Mingchen & Wang, Jingyan & Wang, Shuo & Liu, Yang & Zhu, Jinrong & Tan, Zhongfu, 2021. "Measurement and key influencing factors of the economic benefits for China’s photovoltaic power generation: A LCOE-based hybrid model," Renewable Energy, Elsevier, vol. 169(C), pages 935-952.
    2. Setiawan, Andri D. & Dewi, Marmelia P. & Jafino, Bramka Arga & Hidayatno, Akhmad, 2022. "Evaluating feed-in tariff policies on enhancing geothermal development in Indonesia," Energy Policy, Elsevier, vol. 168(C).
    3. Ma, Rufei & Cai, Huan & Ji, Qiang & Zhai, Pengxiang, 2021. "The impact of feed-in tariff degression on R&D investment in renewable energy: The case of the solar PV industry," Energy Policy, Elsevier, vol. 151(C).
    4. Fan, Jing-Li & Wei, Shijie & Yang, Lin & Wang, Hang & Zhong, Ping & Zhang, Xian, 2019. "Comparison of the LCOE between coal-fired power plants with CCS and main low-carbon generation technologies: Evidence from China," Energy, Elsevier, vol. 176(C), pages 143-155.
    5. Ozcan, Mustafa, 2018. "The role of renewables in increasing Turkey's self-sufficiency in electrical energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2629-2639.
    6. Teuku Naraski Zahari & Benjamin C. McLellan, 2023. "Review of Policies for Indonesia’s Electricity Sector Transition and Qualitative Evaluation of Impacts and Influences Using a Conceptual Dynamic Model," Energies, MDPI, vol. 16(8), pages 1-22, April.
    7. Gazheli, Ardjan & van den Bergh, Jeroen, 2018. "Real options analysis of investment in solar vs. wind energy: Diversification strategies under uncertain prices and costs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2693-2704.
    8. Yiqing Li & Weiguo Yang & Lixin Tian & Jie Yang, 2018. "An Evaluation of Investment in a PV Power Generation Project in the Gobi Desert Using a Real Options Model," Energies, MDPI, vol. 11(1), pages 1-16, January.
    9. Yiqing Dai & Yu Bai, 2020. "Performance Improvement for Building Integrated Photovoltaics in Practice: A Review," Energies, MDPI, vol. 14(1), pages 1-22, December.
    10. Zhang, M.M. & Zhou, D.Q. & Zhou, P. & Chen, H.T., 2017. "Optimal design of subsidy to stimulate renewable energy investments: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 873-883.
    11. Yuzhuo Zhang & Xingang Zhao & Yi Zuo & Lingzhi Ren & Ling Wang, 2017. "The Development of the Renewable Energy Power Industry under Feed-In Tariff and Renewable Portfolio Standard: A Case Study of China’s Photovoltaic Power Industry," Sustainability, MDPI, vol. 9(4), pages 1-23, March.
    12. Patrice Bougette and Christophe Charlier, 2018. "Antidumping and Feed-In Tariffs as Good Buddies? Modeling the EU-China Solar Panel Dispute," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    13. Ke Shi & Chuangyi Li & Choongwan Koo, 2021. "A Techno-Economic Feasibility Analysis of Mono-Si and Poly-Si Photovoltaic Systems in the Rooftop Area of Commercial Building under the Feed-In Tariff Scheme," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
    14. Zhang, M.M. & Wang, Qunwei & Zhou, Dequn & Ding, H., 2019. "Evaluating uncertain investment decisions in low-carbon transition toward renewable energy," Applied Energy, Elsevier, vol. 240(C), pages 1049-1060.
    15. Samper, M. & Coria, G. & Facchini, M., 2021. "Grid parity analysis of distributed PV generation considering tariff policies in Argentina," Energy Policy, Elsevier, vol. 157(C).
    16. Lu, Yuehong & Zhang, Xiao-Ping & Li, Jianing & Huang, Zhijia & Wang, Changlong & Luo, Liang, 2019. "Design of a reward-penalty cost for the promotion of net-zero energy buildings," Energy, Elsevier, vol. 180(C), pages 36-49.
    17. Dong, Changgui & Zhou, Runmin & Li, Jiaying, 2021. "Rushing for subsidies: The impact of feed-in tariffs on solar photovoltaic capacity development in China," Applied Energy, Elsevier, vol. 281(C).
    18. Dominik Kryzia & Michał Kopacz & Katarzyna Kryzia, 2020. "The Valuation of the Operational Flexibility of the Energy Investment Project Based on a Gas-Fired Power Plant," Energies, MDPI, vol. 13(7), pages 1-16, March.
    19. Michas, Serafeim & Stavrakas, Vassilis & Papadelis, Sotiris & Flamos, Alexandros, 2020. "A transdisciplinary modeling framework for the participatory design of dynamic adaptive policy pathways," Energy Policy, Elsevier, vol. 139(C).
    20. Kozlova, Mariia, 2017. "Real option valuation in renewable energy literature: Research focus, trends and design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 180-196.
    21. Koo, Choongwan & Si, Ke & Li, Wenzhuo & Lee, JeeHee, 2022. "Integrated approach to evaluating the impact of feed-in tariffs on the life cycle economic performance of photovoltaic systems in China: A case study of educational facilities," Energy, Elsevier, vol. 254(PB).
    22. Shuai Wang & Yao Li & Junjun Jia, 2022. "How to promote sustainable adoption of residential distributed photovoltaic generation in China? An employment of incentive and punitive policies," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(2), pages 1-26, February.
    23. Penizzotto, F. & Pringles, R. & Olsina, F., 2019. "Real options valuation of photovoltaic power investments in existing buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    24. Cheng, Cheng & Dong, Kangyin & Wang, Zhen & Liu, Shulin & Jurasz, Jakub & Zhang, Haoran, 2023. "Rethinking the evaluation of solar photovoltaic projects under YieldCo mode: A real option perspective," Applied Energy, Elsevier, vol. 336(C).
    25. Y. Li & C.J.M. Kool & P.J. Engelen, 2016. "Hydrogen-Fuel Infrastructure Investment with Endogenous Demand: A Real Options Approach," Working Papers 16-12, Utrecht School of Economics.
    26. Klein, Martin & Deissenroth, Marc, 2017. "When do households invest in solar photovoltaics? An application of prospect theory," Energy Policy, Elsevier, vol. 109(C), pages 270-278.
    27. Wanyu Wang & Haochen Li & Xueliang Hou & Qian Zhang & Songfeng Tian, 2021. "Multi-Criteria Evaluation of Distributed Energy System Based on Order Relation-Anti-Entropy Weight Method," Energies, MDPI, vol. 14(1), pages 1-16, January.
    28. Yu-zhuo, Zhang & Xin-gang, Zhao & Ling-zhi, Ren & Ji, Liang & Ping-kuo, Liu, 2017. "The development of China's biomass power industry under feed-in tariff and renewable portfolio standard: A system dynamics analysis," Energy, Elsevier, vol. 139(C), pages 947-961.
    29. Glensk, Barbara & Madlener, Reinhard, 2019. "Energiewende @ Risk: On the Continuation of Renewable Power Generation at the End of Public Policy Support," FCN Working Papers 5/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised 01 Nov 2019.
    30. Bangjun, Wang & Feng, Zhaolei & Feng, Ji & Yu, Pan & Cui, Linyu, 2022. "Decision making on investments in photovoltaic power generation projects based on renewable portfolio standard: Perspective of real option," Renewable Energy, Elsevier, vol. 189(C), pages 1033-1045.
    31. Chen, Peipei & Wu, Yi & Zou, Lele, 2019. "Distributive PV trading market in China: A design of multi-agent-based model and its forecast analysis," Energy, Elsevier, vol. 185(C), pages 423-436.
    32. Zhang, Alex Hongliang & Sirin, Selahattin Murat & Fan, Conglai & Bu, Maoliang, 2022. "An analysis of the factors driving utility-scale solar PV investments in China: How effective was the feed-in tariff policy?," Energy Policy, Elsevier, vol. 167(C).
    33. Sendstad, Lars Hegnes & Chronopoulos, Michail, 2020. "Sequential investment in renewable energy technologies under policy uncertainty," Energy Policy, Elsevier, vol. 137(C).
    34. Yuehong Lu & Zafar A. Khan & Manuel S. Alvarez-Alvarado & Yang Zhang & Zhijia Huang & Muhammad Imran, 2020. "A Critical Review of Sustainable Energy Policies for the Promotion of Renewable Energy Sources," Sustainability, MDPI, vol. 12(12), pages 1-31, June.
    35. Hu, Junfei & Chen, Huanyue & Zhou, Peng & Guo, Peng, 2022. "Optimal subsidy level for waste-to-energy investment considering flexibility and uncertainty," Energy Economics, Elsevier, vol. 108(C).
    36. Shorabeh, Saman Nadizadeh & Firozjaei, Hamzeh Karimi & Firozjaei, Mohammad Karimi & Jelokhani-Niaraki, Mohammadreza & Homaee, Mehdi & Nematollahi, Omid, 2022. "The site selection of wind energy power plant using GIS-multi-criteria evaluation from economic perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    37. Antonio Di Bari, 2020. "A Real Options Approach to Valuate Solar Energy Investment with Public Authority Incentives: The Italian Case," Energies, MDPI, vol. 13(16), pages 1-15, August.
    38. Yu Zeng & Weidong Chen, 2019. "The Determination of Concession Period for Build-Operate-Transfer Solar Photovoltaic Power Project under Policy Incentives: A Case Study of China," Energies, MDPI, vol. 12(18), pages 1-23, September.
    39. Lu, Yuehong & Zhang, Xiao-Ping & Huang, Zhijia & Lu, Jinli & Wang, Dong, 2019. "Impact of introducing penalty-cost on optimal design of renewable energy systems for net zero energy buildings," Applied Energy, Elsevier, vol. 235(C), pages 106-116.
    40. Zhang, Mingming & Liu, Liyun & Wang, Qunwei & Zhou, Dequn, 2020. "Valuing investment decisions of renewable energy projects considering changing volatility," Energy Economics, Elsevier, vol. 92(C).
    41. Zhang, M.M. & Zhang, C. & Liu, L.Y. & Zhou, D.Q., 2020. "Is it time to launch grid parity in the Chinese solar photovoltaic industry? Evidence from 335 cities," Energy Policy, Elsevier, vol. 147(C).
    42. Jiehui Yuan & Wenli Yuan & Juan Yuan & Zhihong Liu & Jia Liao & Xunmin Ou, 2023. "Policy Recommendations for Distributed Solar PV Aiming for a Carbon-Neutral Future," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    43. Firozjaei, Hamzeh Karimi & Firozjaei, Mohammad Karimi & Nematollahi, Omid & Kiavarz, Majid & Alavipanah, Seyed Kazem, 2020. "On the effect of geographical, topographic and climatic conditions on feed-in tariff optimization for solar photovoltaic electricity generation: A case study in Iran," Renewable Energy, Elsevier, vol. 153(C), pages 430-439.
    44. Tan, Zhizhou & Zeng, Xianhai & Lin, Boqiang, 2023. "How do multiple policy incentives influence investors’ decisions on biomass co-firing combined with carbon capture and storage retrofit projects for coal-fired power plants?," Energy, Elsevier, vol. 278(PB).
    45. Zhang, Libo & Chen, Changqi & Wang, Qunwei & Zhou, Dequn, 2021. "The impact of feed-in tariff reduction and renewable portfolio standard on the development of distributed photovoltaic generation in China," Energy, Elsevier, vol. 232(C).
    46. Zhang, Ruixiaoxiao & Shimada, Koji & Ni, Meng & Shen, Geoffrey Q.P. & Wong, Johnny K.W., 2020. "Low or No subsidy? Proposing a regional power grid based wind power feed-in tariff benchmark price mechanism in China," Energy Policy, Elsevier, vol. 146(C).
    47. Yu, Xianyu & Ge, Shengxian & Zhou, Dequn & Wang, Qunwei & Chang, Ching-Ter & Sang, Xiuzhi, 2022. "Whether feed-in tariff can be effectively replaced or not? An integrated analysis of renewable portfolio standards and green certificate trading," Energy, Elsevier, vol. 245(C).
    48. Liu, Xiaoran & Ronn, Ehud I., 2020. "Using the binomial model for the valuation of real options in computing optimal subsidies for Chinese renewable energy investments," Energy Economics, Elsevier, vol. 87(C).
    49. Gupta, Dipti & Das, Abhiman & Garg, Amit, 2019. "Financial support vis-à-vis share of wind generation: Is there an inflection point?," Energy, Elsevier, vol. 181(C), pages 1064-1074.
    50. Àlex Alonso-Travesset & Diederik Coppitters & Helena Martín & Jordi de la Hoz, 2023. "Economic and Regulatory Uncertainty in Renewable Energy System Design: A Review," Energies, MDPI, vol. 16(2), pages 1-30, January.

  74. Bai, Yang & Zhou, Peng & Tian, Lixin & Meng, Fanyi, 2016. "Desirable Strategic Petroleum Reserves policies in response to supply uncertainty: A stochastic analysis," Applied Energy, Elsevier, vol. 162(C), pages 1523-1529.

    Cited by:

    1. Fang, Guochang & Gao, Zhengye & Tian, Lixin & Fu, Min, 2022. "What drives urban carbon emission efficiency? – Spatial analysis based on nighttime light data," Applied Energy, Elsevier, vol. 312(C).
    2. Luping Zhang & Yingying Zhu & Liwei Fan, 2021. "Temporal-Spatial Structure and Influencing Factors of Urban Energy Efficiency in China’s Agglomeration Areas," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    3. Tian, Lixin & Pan, Jianglai & Du, Ruijin & Li, Wenchao & Zhen, Zaili & Qibing, Gao, 2017. "The valuation of photovoltaic power generation under carbon market linkage based on real options," Applied Energy, Elsevier, vol. 201(C), pages 354-362.
    4. Raghoo, Pravesh & Surroop, Dinesh & Wolf, Franziska & Leal Filho, Walter & Jeetah, Pratima & Delakowitz, Bernd, 2018. "Dimensions of energy security in Small Island Developing States," Utilities Policy, Elsevier, vol. 53(C), pages 94-101.
    5. Liu, Zhen & Tang, Yuk Ming & Chau, Ka Yin & Chien, Fengsheng & Iqbal, Wasim & Sadiq, Muhammad, 2021. "Incorporating strategic petroleum reserve and welfare losses: A way forward for the policy development of crude oil resources in South Asia," Resources Policy, Elsevier, vol. 74(C).
    6. Wang, Minggang & Tian, Lixin & Du, Ruijin, 2016. "Research on the interaction patterns among the global crude oil import dependency countries: A complex network approach," Applied Energy, Elsevier, vol. 180(C), pages 779-791.

  75. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.

    Cited by:

    1. Yao, Shuting & Wang, Jiansheng & Liu, Xueling, 2021. "Role of wall-fluid interaction and rough morphology in heat and momentum exchange in nanochannel," Applied Energy, Elsevier, vol. 298(C).
    2. Meiqiang Wang & Yingwen Chen & Zhixiang Zhou, 2020. "A Novel Stochastic Two-Stage DEA Model for Evaluating Industrial Production and Waste Gas Treatment Systems," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
    3. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    4. Luqi Wang & Xiaolong Xue & Yue Shi & Zeyu Wang & Ankang Ji, 2018. "A Dynamic Analysis to Evaluate the Environmental Performance of Cities in China," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    5. Wang, Juan & Hu, Mingming & Tukker, Arnold & Rodrigues, João F.D., 2019. "The impact of regional convergence in energy-intensive industries on China's CO2 emissions and emission goals," Energy Economics, Elsevier, vol. 80(C), pages 512-523.
    6. Sun, Chuanwang & Zhang, Wenyue & Luo, Yuan & Xu, Yonghong, 2019. "The improvement and substitution effect of transportation infrastructure on air quality: An empirical evidence from China's rail transit construction," Energy Policy, Elsevier, vol. 129(C), pages 949-957.
    7. Song, Yan & Sun, Junjie & Zhang, Ming & Su, Bin, 2020. "Using the Tapio-Z decoupling model to evaluate the decoupling status of China's CO2 emissions at provincial level and its dynamic trend," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 120-129.
    8. Zhang, Cheng & Wang, Qunwei & Shi, Dan & Li, Pengfei & Cai, Wanhuan, 2016. "Scenario-based potential effects of carbon trading in China: An integrated approach," Applied Energy, Elsevier, vol. 182(C), pages 177-190.
    9. Elaouzy, Y. & El Fadar, A., 2022. "Energy, economic and environmental benefits of integrating passive design strategies into buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    10. Zhao, Rongqin & Liu, Ying & Tian, Mengmeng & Ding, Minglei & Cao, Lianhai & Zhang, Zhanping & Chuai, Xiaowei & Xiao, Liangang & Yao, Lunguang, 2018. "Impacts of water and land resources exploitation on agricultural carbon emissions: The water-land-energy-carbon nexus," Land Use Policy, Elsevier, vol. 72(C), pages 480-492.
    11. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    12. Lizhan Cao & Zhongying Qi & Junxia Ren, 2017. "China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    13. Rasli, Amran Md. & Qureshi, Muhammad Imran & Isah-Chikaji, Aliyu & Zaman, Khalid & Ahmad, Mehboob, 2018. "New toxics, race to the bottom and revised environmental Kuznets curve: The case of local and global pollutants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 3120-3130.
    14. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    15. Wu, Xuecheng & Zhao, Liang & Zhang, Yongxin & Zhao, Lingjie & Zheng, Chenghang & Gao, Xiang & Cen, Kefa, 2016. "Cost and potential of energy conservation and collaborative pollutant reduction in the iron and steel industry in China," Applied Energy, Elsevier, vol. 184(C), pages 171-183.
    16. Li-Ming Xue & Zhi-Xue Zheng & Shuo Meng & Mingjun Li & Huaqing Li & Ji-Ming Chen, 2022. "Carbon emission efficiency and spatio-temporal dynamic evolution of the cities in Beijing-Tianjin-Hebei Region, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7640-7664, June.
    17. Weiwei Xie & Hongbing Deng & Zhaohui Chong, 2019. "The Spatial and Heterogeneity Impacts of Population Urbanization on Fine Particulate (PM 2.5 ) in the Yangtze River Economic Belt, China," IJERPH, MDPI, vol. 16(6), pages 1-17, March.
    18. Zuoren Sun & Chao An & Huachen Sun, 2018. "Regional Differences in Energy and Environmental Performance: An Empirical Study of 283 Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-28, July.
    19. Boqiang Lin & Zhijie Jia, 2020. "Supply control vs. demand control: why is resource tax more effective than carbon tax in reducing emissions?," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    20. Huang, Fei & Zhou, Dequn & Hu, Jin-Li & Wang, Qunwei, 2020. "Integrated airline productivity performance evaluation with CO2 emissions and flight delays," Journal of Air Transport Management, Elsevier, vol. 84(C).
    21. Zhang, Bin & Lu, Danting & He, Yan & Chiu, Yung-ho, 2018. "The efficiencies of resource-saving and environment: A case study based on Chinese cities," Energy, Elsevier, vol. 150(C), pages 493-507.
    22. Kai He & Nan Zhu & Wu Jiang & Chuanjin Zhu, 2022. "Efficiency Evaluation of Chinese Provincial Industrial System Based on Network DEA Method," Sustainability, MDPI, vol. 14(9), pages 1-24, April.
    23. Nian Wang & Yingming Zhu & Yu Pei, 2021. "How does economic infrastructure affect industrial energy efficiency convergence? Empirical evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13973-13997, September.
    24. Zhang, Lin & Zhao, Linlin & Zha, Yong, 2021. "Efficiency evaluation of Chinese regional industrial systems using a dynamic two-stage DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    25. Chen, Shaoqing & Chen, Bin, 2017. "Coupling of carbon and energy flows in cities: A meta-analysis and nexus modelling," Applied Energy, Elsevier, vol. 194(C), pages 774-783.

  76. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.

    Cited by:

    1. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    2. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    3. Peirong Chen & Ruhe Xie & Mingxuan Lu, 2020. "“Resource Conservation” or “Environmental Friendliness”: How do Urban Clusters Affect Total-Factor Ecological Performance in China?," IJERPH, MDPI, vol. 17(12), pages 1-28, June.
    4. Hongjun, Guan & Liye, Dong & Aiwu, Zhao, 2023. "Energy structure dividend, factor allocation efficiency and regional productivity growth-- An empirical examination of energy restructuring in China," Energy Policy, Elsevier, vol. 172(C).
    5. Bahram Fathi & Malihe Ashena & Majid Anisi, 2023. "Efficiency evaluation of sustainability indicators in a two-stage network structure: a Nash bargaining game approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1832-1851, February.
    6. Tan, Xiujie & Choi, Yongrok & Wang, Banban & Huang, Xiaoqi, 2020. "Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    7. Zhonghua Cheng & Xiai Shi, 2018. "Can Industrial Structural Adjustment Improve the Total-Factor Carbon Emission Performance in China?," IJERPH, MDPI, vol. 15(10), pages 1-20, October.
    8. Nikos Chatzistamoulou & Phoebe Koundouri, 2020. "Environmental Efficiency, Productive Performance and Spillover Effects under heterogeneous Environmental Awareness Regimes," DEOS Working Papers 2013, Athens University of Economics and Business.
    9. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Lu, Longxi & He, Yu, 2017. "The effect of energy construction adjustment on the dynamical evolution of energy-saving and emission-reduction system in China," Applied Energy, Elsevier, vol. 196(C), pages 180-189.
    10. Hao Zhang & Jianxin You & Xuekelaiti Haiyirete & Tianyu Zhang, 2020. "Measuring Logistics Efficiency in China Considering Technology Heterogeneity and Carbon Emission through a Meta-Frontier Model," Sustainability, MDPI, vol. 12(19), pages 1-18, October.
    11. Zhonghua Cheng & Wenwen Li, 2018. "Independent R and D, Technology Introduction, and Green Growth in China’s Manufacturing," Sustainability, MDPI, vol. 10(2), pages 1-14, January.
    12. Chaofan Chen & Qingxin Lan & Ming Gao & Yawen Sun, 2018. "Green Total Factor Productivity Growth and Its Determinants in China’s Industrial Economy," Sustainability, MDPI, vol. 10(4), pages 1-25, April.
    13. Jiali Zheng & Han Qiao & Shouyang Wang, 2017. "The Effect of Carbon Tax in Aviation Industry on the Multilateral Simulation Game," Sustainability, MDPI, vol. 9(7), pages 1-24, July.
    14. Zhang, Cheng & Wang, Qunwei & Shi, Dan & Li, Pengfei & Cai, Wanhuan, 2016. "Scenario-based potential effects of carbon trading in China: An integrated approach," Applied Energy, Elsevier, vol. 182(C), pages 177-190.
    15. Xian’En Wang & Shimeng Wang & Xipan Wang & Wenbo Li & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "The Assessment of Carbon Performance under the Region-Sector Perspective based on the Nonparametric Estimation: A Case Study of the Northern Province in China," Sustainability, MDPI, vol. 11(21), pages 1-23, October.
    16. Zhang, Yijun & Song, Yi, 2020. "Unified efficiency of coal mining enterprises in China: An analysis based on meta-frontier non-radial directional distance functions," Resources Policy, Elsevier, vol. 65(C).
    17. Wu, F. & Zhou, P. & Zhou, D.Q., 2020. "Modeling carbon emission performance under a new joint production technology with energy input," Energy Economics, Elsevier, vol. 92(C).
    18. Yang, Mian & Hou, Yaru & Ji, Qiang & Zhang, Dayong, 2020. "Assessment and optimization of provincial CO2 emission reduction scheme in China: An improved ZSG-DEA approach," Energy Economics, Elsevier, vol. 91(C).
    19. Wang, Yizhong & Hang, Ye & Wang, Qunwei, 2022. "Joint or separate? An economic-environmental comparison of energy-consuming and carbon emissions permits trading in China," Energy Economics, Elsevier, vol. 109(C).
    20. Shogo Eguchi, 2022. "CO 2 Reduction Potential from Efficiency Improvements in China’s Coal-Fired Thermal Power Generation: A Combined Approach of Metafrontier DEA and LMDI," Energies, MDPI, vol. 15(7), pages 1-19, March.
    21. Zhang, Yue-Jun & Sun, Ya-Fang & Huang, Junling, 2018. "Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment," Energy Policy, Elsevier, vol. 115(C), pages 119-130.
    22. Xingle Long & Yusen Luo & Huaping Sun & Gang Tian, 2018. "Fertilizer using intensity and environmental efficiency for China’s agriculture sector from 1997 to 2014," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1573-1591, July.
    23. Ya Chen & Wei Xu & Qian Zhou & Zhixiang Zhou, 2020. "Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    24. Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    25. Qian Wang & Jinbao Yang & Yung‐ho Chiu & Tai‐Yu Lin, 2023. "Cross‐regional comparative study on digital finance and finance efficiency in China: The eastern and non‐eastern areas," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 68-83, January.
    26. Jinkai Li & Jingjing Ma & Wei Wei, 2020. "Analysis and Evaluation of the Regional Characteristics of Carbon Emission Efficiency for China," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
    27. Yu, Ming-Miin & See, Kok Fong & Hsiao, Bo, 2022. "Integrating group frontier and metafrontier directional distance functions to evaluate the efficiency of production units," European Journal of Operational Research, Elsevier, vol. 301(1), pages 254-276.
    28. Lin, Boqiang & Zhu, Junpeng, 2019. "Fiscal spending and green economic growth: Evidence from China," Energy Economics, Elsevier, vol. 83(C), pages 264-271.
    29. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    30. Zhencheng Xing & Jigan Wang & Jie Zhang, 2017. "CO 2 Emission Performance, Mitigation Potential, and Marginal Abatement Cost of Industries Covered in China’s Nationwide Emission Trading Scheme: A Meta-Frontier Analysis," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    31. Wanke, Peter & Chen, Zhongfei & Dong, Qichen & Antunes, Jorge, 2021. "Transportation Sustainability, Macroeconomics, and Endogeneity in China: A Hybrid Neural-Markowitz-Variable Reduction Approach," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    32. Zhang Chenghu & Muhammad Arif & Khurram Shehzad & Mahmood Ahmad & Judit Oláh, 2021. "Modeling the Dynamic Linkage between Tourism Development, Technological Innovation, Urbanization and Environmental Quality: Provincial Data Analysis of China," IJERPH, MDPI, vol. 18(16), pages 1-21, August.
    33. Qunwei Wang & Ye Hang & Jin‐Li Hu & Ching‐Ren Chiu, 2018. "An alternative metafrontier framework for measuring the heterogeneity of technology," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(5), pages 427-445, August.
    34. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    35. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 585-607, November.
    36. Ding, Tao & Yang, Jie & Wu, Huaqing & Liang, Liang, 2022. "Land use efficiency and technology gaps of urban agglomerations in China: An extended non-radial meta-frontier approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    37. Shuangjie Li & Hongyu Diao & Liming Wang & Chunqi Li, 2021. "Energy Efficiency Measurement: A VO TFEE Approach and Its Application," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    38. Ching-Ren Chiu & Ming-Chung Chang & Jin-Li Hu, 2022. "Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries," Journal of Productivity Analysis, Springer, vol. 57(3), pages 297-311, June.
    39. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    40. Zhao, Linlin & Zha, Yong & Zhuang, Yuliang & Liang, Liang, 2019. "Data envelopment analysis for sustainability evaluation in China: Tackling the economic, environmental, and social dimensions," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1083-1095.
    41. Malin Song & Jianlin Wang & Jiajia Zhao & Tomas Baležentis & Zhiyang Shen, 2020. "Production and safety efficiency evaluation in Chinese coal mines: accident deaths as undesirable output," Annals of Operations Research, Springer, vol. 291(1), pages 827-845, August.
    42. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    43. Du, Minzhe & Liu, Yunxiao & Wang, Bing & Lee, Myunghun & Zhang, Ning, 2021. "The sources of regulated productivity in Chinese power plants: An estimation of the restricted cost function combined with DEA approach," Energy Economics, Elsevier, vol. 100(C).
    44. Chen, Weidong & Geng, Wenxin, 2017. "Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input," Energy, Elsevier, vol. 120(C), pages 283-292.
    45. Feng, Chao & Wang, Miao & Liu, Guan-Chun & Huang, Jian-Bai, 2017. "Sources of economic growth in China from 2000–2013 and its further sustainable growth path: A three-hierarchy meta-frontier data envelopment analysis," Economic Modelling, Elsevier, vol. 64(C), pages 334-348.
    46. Jin, Jingliang & Wen, Qinglan & Zhao, Liya & Zhou, Chaoyang & Guo, Xiaojun, 2023. "Measuring environmental performance of power dispatch influenced by low-carbon approaches," Renewable Energy, Elsevier, vol. 209(C), pages 325-339.
    47. Yu, Shasha & Yuan, Xuanyu & Yao, Xinyan & Lei, Ming, 2022. "Carbon leakage and low-carbon performance: Heterogeneity of responsibility perspectives," Energy Policy, Elsevier, vol. 165(C).

  77. Lee, Chia-Yen & Zhou, Peng, 2015. "Directional shadow price estimation of CO2, SO2 and NOx in the United States coal power industry 1990–2010," Energy Economics, Elsevier, vol. 51(C), pages 493-502.

    Cited by:

    1. Dong-Hyun Oh & JongWuk Ahn & Sinwoo Lee & Hyundo Choi, 2021. "Measuring technical inefficiency and CO2 shadow price of Korean fossil-fuel generation companies using deterministic and stochastic approaches," Energy & Environment, , vol. 32(3), pages 403-423, May.
    2. He, Weijun & Wang, Bo & Danish, & Wang, Zhaohua, 2018. "Will regional economic integration influence carbon dioxide marginal abatement costs? Evidence from Chinese panel data," Energy Economics, Elsevier, vol. 74(C), pages 263-274.
    3. Chen Shi & Yujiao Xian & Zhixin Wang & Ke Wang, 2023. "Marginal abatement cost curve of carbon emissions in China: a functional data analysis," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 28(2), pages 1-25, February.
    4. Wang, Ailun & Hu, Shuo & Lin, Boqiang, 2021. "Emission abatement cost in China with consideration of technological heterogeneity," Applied Energy, Elsevier, vol. 290(C).
    5. He, Weijun & Yang, Yi & Wang, Zhaohua & Zhu, Joe, 2018. "Estimation and allocation of cost savings from collaborative CO2 abatement in China," Energy Economics, Elsevier, vol. 72(C), pages 62-74.
    6. Wei, Xiao & Zhang, Ning, 2020. "The shadow prices of CO2 and SO2 for Chinese Coal-fired Power Plants: A partial frontier approach," Energy Economics, Elsevier, vol. 85(C).
    7. Cui, Lixin & Dong, Ruxue & Mu, Yunguo & Shen, Zhiyang & Xu, Jiatong, 2022. "How policy preferences affect the carbon shadow price in the OECD," Applied Energy, Elsevier, vol. 311(C).
    8. Du, Limin & Lu, Yunguo & Ma, Chunbo, 2022. "Carbon efficiency and abatement cost of China's coal-fired power plants," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    9. Shirong Zhao & Guangshun Qiao, 2022. "The shadow prices of CO2, SO2 and NOx for U.S. coal power industry 2010–2017: a convex quantile regression method," Journal of Productivity Analysis, Springer, vol. 57(3), pages 243-253, June.
    10. Xie, Hualin & Yu, Yanni & Wang, Wei & Liu, Yanchu, 2017. "The substitutability of non-fossil energy, potential carbon emission reduction and energy shadow prices in China," Energy Policy, Elsevier, vol. 107(C), pages 63-71.
    11. Sinan Küfeoğlu & Niyazi Gündüz & Hao Chen & Matti Lehtonen, 2018. "Shadow Pricing of Electric Power Interruptions for Distribution System Operators in Finland," Energies, MDPI, vol. 11(7), pages 1-14, July.
    12. Wu, F. & Wang, S.Y. & Zhou, P., 2023. "Marginal abatement cost of carbon dioxide emissions: The role of abatement options," European Journal of Operational Research, Elsevier, vol. 310(2), pages 891-901.
    13. Lin-Ju Chen & Zhen-Hai Fang & Fei Xie & Hai-Kuo Dong & Yu-Heng Zhou, 2020. "Technology-side carbon abatement cost curves for China’s power generation sector," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1305-1323, October.
    14. Dai, Sheng & Zhou, Xun & Kuosmanen, Timo, 2020. "Forward-looking assessment of the GHG abatement cost: Application to China," Energy Economics, Elsevier, vol. 88(C).
    15. Shen, Zhiyang & Bai, Kaixuan & Hong, Tianyang & Balezentis, Tomas, 2021. "Evaluation of carbon shadow price within a non-parametric meta-frontier framework: The case of OECD, ASEAN and BRICS," Applied Energy, Elsevier, vol. 299(C).
    16. Xian, Yujiao & Yu, Dan & Wang, Ke & Yu, Jian & Huang, Zhimin, 2022. "Capturing the least costly measure of CO2 emission abatement: Evidence from the iron and steel industry in China," Energy Economics, Elsevier, vol. 106(C).
    17. Letmathe, Peter & Wagner, Sandra, 2018. "“Messy” marginal costs: Internal pricing of environmental aspects on the firm level," International Journal of Production Economics, Elsevier, vol. 201(C), pages 41-52.
    18. Xian, Yujiao & Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2019. "Would China’s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," Applied Energy, Elsevier, vol. 235(C), pages 978-986.
    19. Oracio I. Barbosa-Ayala & Jhon A. Montañez-Barrera & Cesar E. Damian-Ascencio & Adriana Saldaña-Robles & J. Arturo Alfaro-Ayala & Jose Alfredo Padilla-Medina & Sergio Cano-Andrade, 2020. "Solution to the Economic Emission Dispatch Problem Using Numerical Polynomial Homotopy Continuation," Energies, MDPI, vol. 13(17), pages 1-15, August.
    20. Qunli Wu & Huaxing Lin, 2019. "Estimating Regional Shadow Prices of CO 2 in China: A Directional Environmental Production Frontier Approach," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    21. Lee, Chia-Yen & Wang, Ke, 2019. "Nash marginal abatement cost estimation of air pollutant emissions using the stochastic semi-nonparametric frontier," European Journal of Operational Research, Elsevier, vol. 273(1), pages 390-400.
    22. Lee, Chia-Yen, 2016. "Nash-profit efficiency: A measure of changes in market structures," European Journal of Operational Research, Elsevier, vol. 255(2), pages 659-663.
    23. Zhiyang Shen & Jean-Philippe Boussemart & Hervé Leleu, 2016. "Worldwide carbon shadow prices during 1990–2011," Working Papers 2016-EQM-04, IESEG School of Management.
    24. Yalan Shi & Miaojing Yu, 2021. "Assessing the Environmental Impact and Cost of the Tourism-Induced CO 2 , NO x , SO x Emission in China," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    25. Xian, Yujiao & Hu, Zhihui & Wang, Ke, 2023. "The least-cost abatement measure of carbon emissions for China's glass manufacturing industry based on the marginal abatement costs," Energy, Elsevier, vol. 284(C).
    26. Wu, Yinyin & Yu, Jie & Song, Malin & Chen, Jiandong & Hou, Wenxuan, 2021. "Shadow prices of industrial air pollutant emissions in China," Economic Modelling, Elsevier, vol. 94(C), pages 726-736.
    27. Ye Wang & Yunguo Lu & Lin Zhang, 2021. "Opportunity Cost of Environmental Regulation in China’s Industrial Sector," IJERPH, MDPI, vol. 18(16), pages 1-19, August.
    28. Ji, D.J. & Zhou, P., 2020. "Marginal abatement cost, air pollution and economic growth: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 86(C).
    29. Quinn, Barry & Gallagher, Ronan & Kuosmanen, Timo, 2023. "Lurking in the shadows: The impact of CO2 emissions target setting on carbon pricing in the Kyoto agreement period," Energy Economics, Elsevier, vol. 118(C).
    30. Zhang, Ning & Huang, Xuhui & Liu, Yunxiao, 2021. "The cost of low-carbon transition for China's coal-fired power plants: A quantile frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    31. Podinovski, Victor V., 2019. "Direct estimation of marginal characteristics of nonparametric production frontiers in the presence of undesirable outputs," European Journal of Operational Research, Elsevier, vol. 279(1), pages 258-276.
    32. Tang, Kai & Yang, Lin & Zhang, Jianwu, 2016. "Estimating the regional total factor efficiency and pollutants’ marginal abatement costs in China: A parametric approach," Applied Energy, Elsevier, vol. 184(C), pages 230-240.
    33. Zhang, Ning & Huang, Xuhui & Qi, Chao, 2022. "The effect of environmental regulation on the marginal abatement cost of industrial firms: Evidence from the 11th Five-Year Plan in China," Energy Economics, Elsevier, vol. 112(C).
    34. Lee, Chia-Yen, 2018. "Mixed-strategy Nash equilibrium in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1013-1024.

  78. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.

    Cited by:

    1. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    2. Teng, Xiangyu & Liu, Fan-peng & Chang, Tzu-han & Chiu, Yung-ho, 2023. "Measuring China’s energy efficiency by considering forest carbon sequestration and applying a meta dynamic non-radial directional distance function," Energy, Elsevier, vol. 263(PC).
    3. Weihua Su & Yuying Wang & Dalia Streimikiene & Tomas Balezentis & Chonghui Zhang, 2020. "Carbon dioxide emission decomposition along the gradient of economic development: The case of energy sustainability in the G7 and Brazil, Russia, India, China and South Africa," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 657-669, July.
    4. Wei, Jin & Ni, Yang & Zhang, Yue-Jun, 2020. "The mitigation strategies for bottom environment of service-oriented public building from a micro-scale perspective: A case study in China," Energy, Elsevier, vol. 205(C).
    5. Lijun Zeng & Laijun Zhao & Qin Wang & Bingcheng Wang & Yuan Ma & Wei Cui & Yujing Xie, 2018. "Modeling Interprovincial Cooperative Energy Saving in China: An Electricity Utilization Perspective," Energies, MDPI, vol. 11(1), pages 1-25, January.
    6. Yu, Yanni & Wu, Wenjie & Zhang, Tao & Liu, Yanchu, 2016. "Environmental catching-up, eco-innovation, and technological leadership in China's pilot ecological civilization zones," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 228-236.
    7. Cheng, Xiu & Long, Ruyin & Chen, Hong & Yang, Jiahui, 2019. "Does social interaction have an impact on residents’ sustainable lifestyle decisions? A multi-agent stimulation based on regret and game theory," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    8. Wei, Wei & Mushtaq, Zulqarnain & Sharif, Maimoona & Zeng, Xiaowu & Wan-Li, Zhang & Qaisrani, Mumtaz A., 2020. "Evaluating the coal rebound effect in energy intensive industries of China," Energy, Elsevier, vol. 207(C).
    9. Sun, Jiasen & Yuan, Yang & Yang, Rui & Ji, Xiang & Wu, Jie, 2017. "Performance evaluation of Chinese port enterprises under significant environmental concerns: An extended DEA-based analysis," Transport Policy, Elsevier, vol. 60(C), pages 75-86.
    10. Feihua Huang & Yue Du & Debao Hu & Bin Zhang, 2021. "Sustainable Performance Analysis of Power Supply Chain System from the Perspective of Technology and Management," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    11. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Lu, Longxi & He, Yu, 2017. "The effect of energy construction adjustment on the dynamical evolution of energy-saving and emission-reduction system in China," Applied Energy, Elsevier, vol. 196(C), pages 180-189.
    12. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    13. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
    14. Ting Yue & Ruyin Long & Junli Liu & Haiwen Liu & Hong Chen, 2019. "Empirical Study on Households’ Energy-Conservation Behavior of Jiangsu Province in China: The Role of Policies and Behavior Results," IJERPH, MDPI, vol. 16(6), pages 1-16, March.
    15. Lin, Boqiang & Bai, Rui, 2020. "Dynamic energy performance evaluation of Chinese textile industry," Energy, Elsevier, vol. 199(C).
    16. Zhang, Yue-Jun & Liang, Ting & Jin, Yan-Lin & Shen, Bo, 2020. "The impact of carbon trading on economic output and carbon emissions reduction in China’s industrial sectors," Applied Energy, Elsevier, vol. 260(C).
    17. Lei Wang & Wei Li & Guomin Li & Guozhen Zhang, 2021. "Concept Evolution and Multi-Dimensional Measurement Comparison of Urban Energy Performance from the Perspective of System Correlation: Empirical Analysis of 142 Prefecture Level Cities in China," IJERPH, MDPI, vol. 18(24), pages 1-21, December.
    18. Minda Ma & Liyin Shen & Hong Ren & Weiguang Cai & Zhili Ma, 2017. "How to Measure Carbon Emission Reduction in China’s Public Building Sector: Retrospective Decomposition Analysis Based on STIRPAT Model in 2000–2015," Sustainability, MDPI, vol. 9(10), pages 1-16, September.
    19. Wei, Jia & Chen, Hong & Cui, Xiaotong & Long, Ruyin, 2016. "Carbon capability of urban residents and its structure: Evidence from a survey of Jiangsu Province in China," Applied Energy, Elsevier, vol. 173(C), pages 635-649.
    20. Zhang, Yue-Jun & Jiang, Lin & Shi, Wei, 2020. "Exploring the growth-adjusted energy-emission efficiency of transportation industry in China," Energy Economics, Elsevier, vol. 90(C).
    21. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei & Du, Ruijin & Liu, Menghe, 2017. "Investigating carbon tax pilot in YRD urban agglomerations—Analysis of a novel ESER system with carbon tax constraints and its application," Applied Energy, Elsevier, vol. 194(C), pages 635-647.
    22. Xiaoling Wang & Feng He & Linfeng Zhang & Lili Chen, 2018. "Energy Efficiency of China’s Iron and Steel Industry from the Perspective of Technology Heterogeneity," Energies, MDPI, vol. 11(5), pages 1-11, May.
    23. Luping Zhang & Yingying Zhu & Liwei Fan, 2021. "Temporal-Spatial Structure and Influencing Factors of Urban Energy Efficiency in China’s Agglomeration Areas," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    24. Zhang, Yue-Jun & Liu, Zhao & Qin, Chang-Xiong & Tan, Tai-De, 2017. "The direct and indirect CO2 rebound effect for private cars in China," Energy Policy, Elsevier, vol. 100(C), pages 149-161.
    25. Zhang, Cheng & Wang, Qunwei & Shi, Dan & Li, Pengfei & Cai, Wanhuan, 2016. "Scenario-based potential effects of carbon trading in China: An integrated approach," Applied Energy, Elsevier, vol. 182(C), pages 177-190.
    26. Lu Liu & Yuxin Meng & Desheng Wu & Qiying Ran & Jianhong Cao & Zilian Liu, 2023. "Impact of haze pollution and human capital on economic resilience: evidence from prefecture-level cities in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 13429-13449, November.
    27. Zhang, Yue-Jun & Peng, Hua-Rong & Liu, Zhao & Tan, Weiping, 2015. "Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach," Energy Policy, Elsevier, vol. 87(C), pages 303-313.
    28. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Energy and Environmental Efficiency in Different Chinese Regions," Sustainability, MDPI, vol. 11(4), pages 1-26, February.
    29. Hao Xiao & Shuquan Li & Julien Chevallier & Bangzhu Zhu, 2017. "Electricity-Savings Pressure and Electricity-Savings Potential among China?s Inter-Provincial Manufacturing Sectors," Working Papers 2017-006, Department of Research, Ipag Business School.
    30. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2016. "Environmental investment and firm performance: A network approach," Energy Economics, Elsevier, vol. 57(C), pages 243-255.
    31. Fabio Magrassi & Adriana Del Borghi & Michela Gallo & Carlo Strazza & Michela Robba, 2016. "Optimal Planning of Sustainable Buildings: Integration of Life Cycle Assessment and Optimization in a Decision Support System (DSS)," Energies, MDPI, vol. 9(7), pages 1-15, June.
    32. Jiasen Sun & Guo Li, 2022. "Optimizing emission reduction task sharing: technology and performance perspectives," Annals of Operations Research, Springer, vol. 316(1), pages 581-602, September.
    33. Du, Zhili & Wang, Yao, 2022. "Does energy-saving and emission reduction policy affects carbon reduction performance? A quasi-experimental evidence in China," Applied Energy, Elsevier, vol. 324(C).
    34. Wang, Qunwei & Wang, Yizhong & Zhou, P. & Wei, Hongye, 2017. "Whole process decomposition of energy-related SO2 in Jiangsu Province, China," Applied Energy, Elsevier, vol. 194(C), pages 679-687.
    35. Ya Chen & Wei Xu & Qian Zhou & Zhixiang Zhou, 2020. "Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    36. Yu, Yantuan & Zhang, Ning, 2021. "Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 96(C).
    37. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    38. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    39. Mongibello, Luigi & Bianco, Nicola & Caliano, Martina & Graditi, Giorgio, 2016. "Comparison between two different operation strategies for a heat-driven residential natural gas-fired CHP system: Heat dumping vs. load partialization," Applied Energy, Elsevier, vol. 184(C), pages 55-67.
    40. Chen, Nengcheng & Xu, Lei & Chen, Zeqiang, 2017. "Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and tobit models," Energy, Elsevier, vol. 134(C), pages 659-671.
    41. Jinkai Li & Jingjing Ma & Wei Wei, 2020. "Analysis and Evaluation of the Regional Characteristics of Carbon Emission Efficiency for China," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
    42. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    43. Zhang, Yue-Jun & Peng, Hua-Rong & Su, Bin, 2017. "Energy rebound effect in China's Industry: An aggregate and disaggregate analysis," Energy Economics, Elsevier, vol. 61(C), pages 199-208.
    44. Hu, Jin-Li & Chang, Ming-Chung & Tsay, Hui-Wen, 2017. "The congestion total-factor energy efficiency of regions in Taiwan," Energy Policy, Elsevier, vol. 110(C), pages 710-718.
    45. Feng, Chao & Wang, Miao, 2017. "The economy-wide energy efficiency in China’s regional building industry," Energy, Elsevier, vol. 141(C), pages 1869-1879.
    46. Jun Yang & Xin Feng & Yufei Tang & Jun Yan & Haibo He & Chao Luo, 2015. "A Power System Optimal Dispatch Strategy Considering the Flow of Carbon Emissions and Large Consumers," Energies, MDPI, vol. 8(9), pages 1-20, August.
    47. Shao, Shuai & Liu, Jianghua & Geng, Yong & Miao, Zhuang & Yang, Yingchun, 2016. "Uncovering driving factors of carbon emissions from China’s mining sector," Applied Energy, Elsevier, vol. 166(C), pages 220-238.
    48. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    49. Cheng, Xiu & Long, Ruyin & Chen, Hong, 2020. "A policy utility dislocation model based on prospect theory: A case study of promoting policies with low-carbon lifestyle," Energy Policy, Elsevier, vol. 137(C).
    50. Kalina Grzesiuk & Dorota Jegorow & Monika Wawer & Anna Głowacz, 2023. "Energy-Efficient City Transportation Solutions in the Context of Energy-Conserving and Mobility Behaviours of Generation Z," Energies, MDPI, vol. 16(15), pages 1-28, August.
    51. Li-Ming Xue & Zhi-Xue Zheng & Shuo Meng & Mingjun Li & Huaqing Li & Ji-Ming Chen, 2022. "Carbon emission efficiency and spatio-temporal dynamic evolution of the cities in Beijing-Tianjin-Hebei Region, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7640-7664, June.
    52. Nadimi, Reza & Tokimatsu, Koji, 2019. "Potential energy saving via overall efficiency relying on quality of life," Applied Energy, Elsevier, vol. 233, pages 283-299.
    53. Rongrong Xu & Yongxiang Wu & Ming Chen & Xuan Zhang & Wei Wu & Long Tan & Gaoxu Wang & Yi Xu & Bing Yan & Yuedong Xia, 2019. "Calculation of the contribution rate of China’s hydraulic science and technology based on a feedforward neural network," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-22, September.
    54. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations," Energy Policy, Elsevier, vol. 108(C), pages 163-177.
    55. Corrado Lo Storto, 2016. "Ecological Efficiency Based Ranking of Cities: A Combined DEA Cross-Efficiency and Shannon’s Entropy Method," Sustainability, MDPI, vol. 8(2), pages 1-29, January.
    56. Pui, Kiew Ling & Othman, Jamal, 2019. "The influence of economic, technical, and social aspects on energy-associated CO2 emissions in Malaysia: An extended Kaya identity approach," Energy, Elsevier, vol. 181(C), pages 468-493.
    57. Jichao Geng & Ruyin Long & Hong Chen & Ting Yue & Wenbo Li & Qianwen Li, 2017. "Exploring Multiple Motivations on Urban Residents’ Travel Mode Choices: An Empirical Study from Jiangsu Province in China," Sustainability, MDPI, vol. 9(1), pages 1-16, January.
    58. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 585-607, November.
    59. Shabani, Mohadeseh & Kordrostami, Sohrab & Jahani Sayyad Noveiri, Monireh, 2023. "Renewable energy performance analysis using fuzzy dynamic directional distance function model under natural and managerial disposability," Applied Energy, Elsevier, vol. 352(C).
    60. Teng, Xiangyu & Zhuang, Weiwei & Liu, Fan-peng & Chang, Tzu-han & Chiu, Yung-ho, 2023. "China's path of carbon neutralization to develop green energy and improve energy efficiency," Renewable Energy, Elsevier, vol. 206(C), pages 397-408.
    61. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    62. Ke-Liang Wang & Shuang He & Fu-Qin Zhang, 2021. "Relationship between FDI, fiscal expenditure and green total-factor productivity in China: From the perspective of spatial spillover," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-28, April.
    63. Wang, Nannan & Chen, Ji & Yao, Shengnan & Chang, Yen-Chiang, 2018. "A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2606-2612.
    64. He Zhang & Jingyi Peng & Rui Wang & Yuanyuan Guo & Jing He & Dahlia Yu & Jianxun Zhang, 2023. "Efficiency and Potential Evaluation to Promote Differentiated Low-Carbon Management in Chinese Counties," IJERPH, MDPI, vol. 20(4), pages 1-19, February.
    65. Teng, Xiangyu & Liu, Fan-peng & Chiu, Yung-ho, 2021. "The change in energy and carbon emissions efficiency after afforestation in China by applying a modified dynamic SBM model," Energy, Elsevier, vol. 216(C).
    66. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    67. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.
    68. Fang-Rong Ren & Ze Tian & Yu-Ting Shen & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Energy, CO 2 , and AQI Efficiency and Improvement of the Yangtze River Economic Belt," Energies, MDPI, vol. 12(4), pages 1-17, February.
    69. Lin, Boqiang & Zhu, Junpeng, 2019. "Impact of energy saving and emission reduction policy on urban sustainable development: Empirical evidence from China," Applied Energy, Elsevier, vol. 239(C), pages 12-22.
    70. Tan, Sieting & Yang, Jin & Yan, Jinyue & Lee, Chewtin & Hashim, Haslenda & Chen, Bin, 2017. "A holistic low carbon city indicator framework for sustainable development," Applied Energy, Elsevier, vol. 185(P2), pages 1919-1930.
    71. Zhang, Bin & Lu, Danting & He, Yan & Chiu, Yung-ho, 2018. "The efficiencies of resource-saving and environment: A case study based on Chinese cities," Energy, Elsevier, vol. 150(C), pages 493-507.
    72. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    73. Sami Jarboui, 2022. "Operational and environmental efficiency of U.S. oil and gas companies towards energy transition policies: A comparative empirical analysis," Australian Economic Papers, Wiley Blackwell, vol. 61(2), pages 234-257, June.
    74. Wei, Jia & Chen, Hong & Long, Ruyin, 2016. "Is ecological personality always consistent with low-carbon behavioral intention of urban residents?," Energy Policy, Elsevier, vol. 98(C), pages 343-352.
    75. Feiyu Chen & Hong Chen & Xinru Huang & Ruyin Long & Hui Lu & Ting Yue, 2017. "Public Response to the Regulation Policy of Urban Household Waste: Evidence from a Survey of Jiangsu Province in China," Sustainability, MDPI, vol. 9(6), pages 1-23, June.
    76. Chen, Weidong & Geng, Wenxin, 2017. "Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input," Energy, Elsevier, vol. 120(C), pages 283-292.
    77. Yue Xu & Zebin Wang & Yung-Ho Chiu & Fangrong Ren, 2020. "Research on energy-saving and emissions reduction efficiency in Chinese thermal power companies," Energy & Environment, , vol. 31(5), pages 903-919, August.
    78. Chen, Shaoqing & Chen, Bin, 2017. "Coupling of carbon and energy flows in cities: A meta-analysis and nexus modelling," Applied Energy, Elsevier, vol. 194(C), pages 774-783.
    79. Ma, Ruiyang & Lin, Boqiang, 2023. "Digitalization and energy-saving and emission reduction in Chinese cities: Synergy between industrialization and digitalization," Applied Energy, Elsevier, vol. 345(C).
    80. Xiang Ji & Jiasen Sun & Qunwei Wang & Qianqian Yuan, 2019. "Revealing Energy Over-Consumption and Pollutant Over-Emission Behind GDP: A New Multi-criteria Sustainable Measure," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1391-1421, December.
    81. Zebin Zheng & Wenjun Xiao & Ziye Cheng, 2023. "China’s Green Total Factor Energy Efficiency Assessment Based on Coordinated Reduction in Pollution and Carbon Emission: From the 11th to the 13th Five-Year Plan," Sustainability, MDPI, vol. 15(9), pages 1-20, April.

  79. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.

    Cited by:

    1. Mahmoudi, Reza & Emrouznejad, Ali & Shetab-Boushehri, Seyyed-Nader & Hejazi, Seyed Reza, 2020. "The origins, development and future directions of data envelopment analysis approach in transportation systems," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    2. Zhao, Yu & Zhong, Honglin & Kong, Fanbin & Zhang, Ning, 2023. "Can China achieve carbon neutrality without power shortage? A substitutability perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    3. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    4. Zhao, Zhe & Bai, Yuping & Wang, Guofeng & Chen, Jiancheng & Yu, Jiangli & Liu, Wei, 2018. "Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 19-26.
    5. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    6. Lin, Boqiang & Li, Zheng, 2022. "Towards world's low carbon development: The role of clean energy," Applied Energy, Elsevier, vol. 307(C).
    7. Song, Yao-yao & Li, Jing-jing & Wang, Jin-li & Yang, Guo-liang & Chen, Zhenling, 2022. "Eco-efficiency of Chinese transportation industry: A DEA approach with non-discretionary input," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    8. Na, Joon-Ho & Choi, A-Young & Ji, Jianhua & Zhang, Dali, 2017. "Environmental efficiency analysis of Chinese container ports with CO2 emissions: An inseparable input-output SBM model," Journal of Transport Geography, Elsevier, vol. 65(C), pages 13-24.
    9. Emrouznejad, Ali & Yang, Guo-liang, 2016. "A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries," Energy, Elsevier, vol. 115(P1), pages 840-856.
    10. Hao Zhang & Jianxin You & Xuekelaiti Haiyirete & Tianyu Zhang, 2020. "Measuring Logistics Efficiency in China Considering Technology Heterogeneity and Carbon Emission through a Meta-Frontier Model," Sustainability, MDPI, vol. 12(19), pages 1-18, October.
    11. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    12. Wang, Zhaohua & He, Weijun & Wang, Bo, 2017. "Performance and reduction potential of energy and CO2 emissions among the APEC's members with considering the return to scale," Energy, Elsevier, vol. 138(C), pages 552-562.
    13. Zhang, Lina & Gao, Wanting & Chiu, Yung-ho & Pang, Qinghua & Shi, Zhen & Guo, Zhiqin, 2021. "Environmental performance indicators of China's coal mining industry: A bootstrapping Malmquist index analysis," Resources Policy, Elsevier, vol. 71(C).
    14. Li, Ke & Lin, Boqiang, 2017. "An application of a double bootstrap to investigate the effects of technological progress on total-factor energy consumption performance in China," Energy, Elsevier, vol. 128(C), pages 575-585.
    15. Zhang, Yue-Jun & Wang, Ao-Dong & Tan, Weiping, 2015. "The impact of China's carbon allowance allocation rules on the product prices and emission reduction behaviors of ETS-covered enterprises," Energy Policy, Elsevier, vol. 86(C), pages 176-185.
    16. Wang, Qiang & Jiang, Feng & Li, Rongrong, 2022. "Assessing supply chain greenness from the perspective of embodied renewable energy – A data envelopment analysis using multi-regional input-output analysis," Renewable Energy, Elsevier, vol. 189(C), pages 1292-1305.
    17. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    18. Ke Li & Malin Song, 2016. "Green Development Performance in China: A Metafrontier Non-Radial Approach," Sustainability, MDPI, vol. 8(3), pages 1-21, March.
    19. Xian’En Wang & Shimeng Wang & Xipan Wang & Wenbo Li & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "The Assessment of Carbon Performance under the Region-Sector Perspective based on the Nonparametric Estimation: A Case Study of the Northern Province in China," Sustainability, MDPI, vol. 11(21), pages 1-23, October.
    20. Yang, Mian & Ma, Tiemeng & Sun, Chuanwang, 2018. "Evaluating the impact of urban traffic investment on SO2 emissions in China cities," Energy Policy, Elsevier, vol. 113(C), pages 20-27.
    21. Jinchao Li & Yuwei Xiang & Huanyu Jia & Lin Chen, 2018. "Analysis of Total Factor Energy Efficiency and Its Influencing Factors on Key Energy-Intensive Industries in the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    22. Houyem Zrelli & Abdullah H. Alsharif & Iskander Tlili, 2020. "Malmquist Indexes of Productivity Change in Tunisian Manufacturing Industries," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
    23. Wen Guo & Tao Sun & Hongjun Dai, 2017. "Efficiency Allocation of Provincial Carbon Reduction Target in China’s “13·5” Period: Based on Zero-Sum-Gains SBM Model," Sustainability, MDPI, vol. 9(2), pages 1-18, January.
    24. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    25. Ke Wang & Yujiao Xian & Yi-Ming Wei & Zhimin Huang, 2016. "Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function," CEEP-BIT Working Papers 91, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    26. Zhong, Mei-Rui & Xiao, Shun-Li & Zou, Han & Zhang, Yi-Jun & Song, Yi, 2021. "The effects of technical change on carbon intensity in China’s non-ferrous metal industry," Resources Policy, Elsevier, vol. 73(C).
    27. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    28. Yang, Guo-liang & Fukuyama, Hirofumi & Song, Yao-yao, 2019. "Estimating capacity utilization of Chinese manufacturing industries," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 94-110.
    29. Zhou, Tao & Huang, Xuhui & Zhang, Ning, 2023. "The effect of innovation pilot on carbon total factor productivity: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 125(C).
    30. Xiongfeng Pan & Yaobo Yan & Xiaoxue Peng & Qing Liu, 2016. "Analysis of the Threshold Effect of Financial Development on China’s Carbon Intensity," Sustainability, MDPI, vol. 8(3), pages 1-14, March.
    31. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    32. Meng, Conghui & Du, Xiaoyun & Zhu, Mengcheng & Ren, Yitian & Fang, Kai, 2023. "The static and dynamic carbon emission efficiency of transport industry in China," Energy, Elsevier, vol. 274(C).
    33. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    34. Li, Ke & Lin, Boqiang, 2015. "Measuring green productivity growth of Chinese industrial sectors during 1998–2011," China Economic Review, Elsevier, vol. 36(C), pages 279-295.
    35. Rongrong Xu & Yongxiang Wu & Ming Chen & Xuan Zhang & Wei Wu & Long Tan & Gaoxu Wang & Yi Xu & Bing Yan & Yuedong Xia, 2019. "Calculation of the contribution rate of China’s hydraulic science and technology based on a feedforward neural network," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-22, September.
    36. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    37. Jianglong Li & Boqiang Lin, 2016. "Green Economy Performance and Green Productivity Growth in China’s Cities: Measures and Policy Implication," Sustainability, MDPI, vol. 8(9), pages 1-21, September.
    38. Huang, Yongming & Haseeb, Mohammad & Usman, Muhammad & Ozturk, Ilhan, 2022. "Dynamic association between ICT, renewable energy, economic complexity and ecological footprint: Is there any difference between E-7 (developing) and G-7 (developed) countries?," Technology in Society, Elsevier, vol. 68(C).
    39. Nabavieh, Alireza & Gholamiangonabadi, Davoud & Ahangaran, Ali Asghar, 2015. "Dynamic changes in CO2 emission performance of different types of Iranian fossil-fuel power plants," Energy Economics, Elsevier, vol. 52(PA), pages 142-150.
    40. Kuang, Yunming & Lin, Boqiang, 2022. "Natural gas resource utilization, environmental policy and green economic development: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    41. Huan Zhang & Kangning Xu, 2016. "Impact of Environmental Regulation and Technical Progress on Industrial Carbon Productivity: An Approach Based on Proxy Measure," Sustainability, MDPI, vol. 8(8), pages 1-15, August.
    42. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 585-607, November.
    43. Xie, Rui & Fang, Jiayu & Liu, Cenjie, 2017. "The effects of transportation infrastructure on urban carbon emissions," Applied Energy, Elsevier, vol. 196(C), pages 199-207.
    44. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas & Sun, Chuanwang, 2019. "Atmospheric environmental productivity across the provinces of China: Joint decomposition of range adjusted measure and Luenberger productivity indicator," Energy Policy, Elsevier, vol. 132(C), pages 665-677.
    45. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    46. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.
    47. Li, Jianglong & Lin, Boqiang, 2017. "Ecological total-factor energy efficiency of China's heavy and light industries: Which performs better?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 83-94.
    48. Shuai Zhang & Xiaoman Zhao & Changwei Yuan & Xiu Wang, 2020. "Technological Bias and Its Influencing Factors in Sustainable Development of China’s Transportation," Sustainability, MDPI, vol. 12(14), pages 1-26, July.
    49. Liu, Guangtian & Wang, Bing & Zhang, Ning, 2016. "A coin has two sides: Which one is driving China’s green TFP growth?," Economic Systems, Elsevier, vol. 40(3), pages 481-498.
    50. Danish I. Godil & Zhang Yu & Arshian Sharif & Rimsha Usman & Syed Abdul Rehman Khan, 2021. "Investigate the role of technology innovation and renewable energy in reducing transport sector CO2 emission in China: A path toward sustainable development," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(4), pages 694-707, July.
    51. Huali Sun & Mengzhen Li & Yaofeng Xue, 2019. "Examining the Factors Influencing Transport Sector CO 2 Emissions and Their Efficiency in Central China," Sustainability, MDPI, vol. 11(17), pages 1-15, August.
    52. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    53. Güner, Samet & Cebeci, Halil İbrahim & Antunes, Jorge Junio Moreira & Wanke, Peter F., 2021. "Sustainable efficiency drivers in Eurasian airports: Fuzzy NDEA approach based on Shannon's entropy," Journal of Air Transport Management, Elsevier, vol. 92(C).
    54. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    55. Liu, Wei & Zhan, Jinyan & Zhao, Fen & Wang, Pei & Li, Zhihui & Teng, Yanmin, 2018. "Changing trends and influencing factors of energy productivity growth: A case study in the Pearl River Delta Metropolitan Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 1-9.
    56. Zhang, Ning & Wang, Bing, 2015. "A deterministic parametric metafrontier Luenberger indicator for measuring environmentally-sensitive productivity growth: A Korean fossil-fuel power case," Energy Economics, Elsevier, vol. 51(C), pages 88-98.
    57. Herui Cui & Ruirui Wu & Tian Zhao, 2018. "Decomposition and Forecasting of CO 2 Emissions in China’s Power Sector Based on STIRPAT Model with Selected PLS Model and a Novel Hybrid PLS-Grey-Markov Model," Energies, MDPI, vol. 11(11), pages 1-19, November.
    58. Sanz-Díaz, María Teresa & Velasco-Morente, Francisco & Yñiguez, Rocío & Díaz-Calleja, Emilio, 2017. "An analysis of Spain's global and environmental efficiency from a European Union perspective," Energy Policy, Elsevier, vol. 104(C), pages 183-193.
    59. Liu, Hongwei & Yang, Ronglu & Wu, Jie & Chu, Junfei, 2021. "Total-factor energy efficiency change of the road transportation industry in China: A stochastic frontier approach," Energy, Elsevier, vol. 219(C).
    60. Løvold Rødseth, Kenneth, 2017. "Productivity growth in urban freight transport: An index number approach," Transport Policy, Elsevier, vol. 56(C), pages 86-95.
    61. Shen, Neng & Peng, Hui & Wang, Qunwei, 2021. "Spatial dependence, agglomeration externalities and the convergence of carbon productivity," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    62. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.
    63. Yu, Shasha & Yuan, Xuanyu & Yao, Xinyan & Lei, Ming, 2022. "Carbon leakage and low-carbon performance: Heterogeneity of responsibility perspectives," Energy Policy, Elsevier, vol. 165(C).

  80. Zhang, Ling & Zhang, Luping & Zhou, Peng & Zhou, Dequn, 2015. "A non-additive multiple criteria analysis method for evaluation of airline service quality," Journal of Air Transport Management, Elsevier, vol. 47(C), pages 154-161.

    Cited by:

    1. Perçin, Selçuk, 2018. "Evaluating airline service quality using a combined fuzzy decision-making approach," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 48-60.
    2. Deveci, Muhammet & Özcan, Ender & John, Robert & Öner, Sultan Ceren, 2018. "Interval type-2 hesitant fuzzy set method for improving the service quality of domestic airlines in Turkey," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 83-98.
    3. Tsionas, Mike G. & Chen, Zhongfei & Wanke, Peter, 2017. "A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 1-10.
    4. Atsalakis, George S. & Atsalaki, Ioanna G. & Zopounidis, Constantin, 2018. "Forecasting the success of a new tourism service by a neuro-fuzzy technique," European Journal of Operational Research, Elsevier, vol. 268(2), pages 716-727.

  81. Ju, Keyi & Su, Bin & Zhou, Dequn & Zhou, P. & Zhang, Yuqiang, 2015. "Oil price crisis response: Capability assessment and key indicator identification," Energy, Elsevier, vol. 93(P2), pages 1353-1360.

    Cited by:

    1. Alsamara, Mouyad Kassm & Mrabet, Zouhair & Elafif, Mohamed & Gangopadhyay, Partha, 2017. "The asymmetric effects of oil price on economic growth in Turkey and Saudi Arabia: new evidence from nonlinear ARDL approach," International Journal of Development and Conflict, Gokhale Institute of Politics and Economics, vol. 7(2), pages 97-118.
    2. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    3. Chen, Wei & Zou, Wandan & Zhong, Kaiyang & Aliyeva, Alina, 2023. "Machine learning assessment under the development of green technology innovation: A perspective of energy transition," Renewable Energy, Elsevier, vol. 214(C), pages 65-73.
    4. Wang, Lin & Dilanchiev, Azer & Haseeb, Mohammad, 2022. "The environmental regulation and policy assessment effect on the road to green recovery transformation," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 914-929.
    5. Hosseini, Keyvan & Stefaniec, Agnieszka, 2019. "Efficiency assessment of Iran's petroleum refining industry in the presence of unprofitable output: A dynamic two-stage slacks-based measure," Energy, Elsevier, vol. 189(C).
    6. Yu, Yiling, 2023. "Role of Natural resources rent on economic growth: Fresh empirical insight from selected developing economies," Resources Policy, Elsevier, vol. 81(C).
    7. Ju, Keyi & Su, Bin & Zhou, Dequn & Wu, Junmin & Liu, Lifan, 2016. "Macroeconomic performance of oil price shocks: Outlier evidence from nineteen major oil-related countries/regions," Energy Economics, Elsevier, vol. 60(C), pages 325-332.
    8. Tao Zhai & Jiabin Liu & Daqing Wang, 2023. "Optimization path of agricultural products marketing channel based on innovative industrial chain," Economic Change and Restructuring, Springer, vol. 56(6), pages 3949-3977, December.

  82. Zhang, Ling & Zhou, Peng & Newton, Sidney & Fang, Jian-xin & Zhou, De-qun & Zhang, Lu-ping, 2015. "Evaluating clean energy alternatives for Jiangsu, China: An improved multi-criteria decision making method," Energy, Elsevier, vol. 90(P1), pages 953-964.

    Cited by:

    1. Ioannou, Anastasia & Angus, Andrew & Brennan, Feargal, 2017. "Risk-based methods for sustainable energy system planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 602-615.
    2. Du, Jiyun & Ge, Zhan & Wu, Hao & Shi, Xudong & Yuan, Fangyang & Yu, Wei & Wang, Dongxiang & Yang, Xinjun, 2022. "Study on the effects of runner geometric parameters on the performance of micro Francis turbines used in water supply system of high-rise buildings," Energy, Elsevier, vol. 256(C).
    3. Paulo Antônio Xavier Furtado & Antônio Vanderley Herrero Sola, 2020. "Fuzzy Complex Proportional Assessment Applied in Location Selection for Installation of Photovoltaic Plants," Energies, MDPI, vol. 13(23), pages 1-20, November.
    4. Malkawi, Salaheddin & Al-Nimr, Moh'd & Azizi, Danah, 2017. "A multi-criteria optimization analysis for Jordan's energy mix," Energy, Elsevier, vol. 127(C), pages 680-696.
    5. Shakouri G., H. & Aliakbarisani, S., 2016. "At what valuation of sustainability can we abandon fossil fuels? A comprehensive multistage decision support model for electricity planning," Energy, Elsevier, vol. 107(C), pages 60-77.
    6. Limei Liu & Xinyun Chen & Yi Yang & Junfeng Yang & Jie Chen, 2023. "Prioritization of Off-Grid Hybrid Renewable Energy Systems for Residential Communities in China Considering Public Participation with Basic Uncertain Linguistic Information," Sustainability, MDPI, vol. 15(11), pages 1-30, May.
    7. Zhou, Bin & Xu, Da & Chan, Ka Wing & Li, Canbing & Cao, Yijia & Bu, Siqi, 2017. "A two-stage framework for multiobjective energy management in distribution networks with a high penetration of wind energy," Energy, Elsevier, vol. 135(C), pages 754-766.
    8. Meng, Fanyi & Bai, Yang & Jin, Jingliang, 2021. "An advanced real-time dispatching strategy for a distributed energy system based on the reinforcement learning algorithm," Renewable Energy, Elsevier, vol. 178(C), pages 13-24.
    9. Alipour, M. & Alighaleh, S. & Hafezi, R. & Omranievardi, M., 2017. "A new hybrid decision framework for prioritizing funding allocation to Iran's energy sector," Energy, Elsevier, vol. 121(C), pages 388-402.
    10. Abreu Kang, Takanni Hannaka & da Costa Soares Júnior, Antônio Marques & de Almeida, Adiel Teixeira, 2018. "Evaluating electric power generation technologies: A multicriteria analysis based on the FITradeoff method," Energy, Elsevier, vol. 165(PB), pages 10-20.
    11. Marcin Rabe & Dalia Streimikiene & Yuriy Bilan, 2019. "The Concept of Risk and Possibilities of Application of Mathematical Methods in Supporting Decision Making for Sustainable Energy Development," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    12. Gao, Jianwei & Guo, Fengjia & Li, Xiangzhen & Huang, Xin & Men, Huijuan, 2021. "Risk assessment of offshore photovoltaic projects under probabilistic linguistic environment," Renewable Energy, Elsevier, vol. 163(C), pages 172-187.
    13. Athanasios P. Vavatsikos & Efstratios Tsesmetzis & Georgios Koulinas & Dimitrios Koulouriotis, 2022. "A robust group decision making framework using fuzzy TOPSIS and Monte Carlo simulation for wind energy projects multicriteria evaluation," Operational Research, Springer, vol. 22(5), pages 6055-6073, November.
    14. Paula Donaduzzi Rigo & Graciele Rediske & Carmen Brum Rosa & Natália Gava Gastaldo & Leandro Michels & Alvaro Luiz Neuenfeldt Júnior & Julio Cezar Mairesse Siluk, 2020. "Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    15. Pingtao Yi & Weiwei Li & Lingyu Li, 2018. "Evaluation and Prediction of City Sustainability Using MCDM and Stochastic Simulation Methods," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    16. Wu, Yunna & Xu, Chuanbo & Ke, Yiming & Chen, Kaifeng & Sun, Xiaokun, 2018. "An intuitionistic fuzzy multi-criteria framework for large-scale rooftop PV project portfolio selection: Case study in Zhejiang, China," Energy, Elsevier, vol. 143(C), pages 295-309.
    17. Mateusz Piwowarski & Mariusz Borawski & Kesra Nermend, 2021. "The Problem of Non-Typical Objects in the Multidimensional Comparative Analysis of the Level of Renewable Energy Development," Energies, MDPI, vol. 14(18), pages 1-24, September.
    18. Büyüközkan, Gülçin & Karabulut, Yağmur, 2017. "Energy project performance evaluation with sustainability perspective," Energy, Elsevier, vol. 119(C), pages 549-560.
    19. Alkan, Ömer & Albayrak, Özlem Karadağ, 2020. "Ranking of renewable energy sources for regions in Turkey by fuzzy entropy based fuzzy COPRAS and fuzzy MULTIMOORA," Renewable Energy, Elsevier, vol. 162(C), pages 712-726.
    20. Liang Cui & Ye Xu & Ling Xu & Guohe Huang, 2021. "Wind Farm Location Special Optimization Based on Grid GIS and Choquet Fuzzy Integral Method in Dalian City, China," Energies, MDPI, vol. 14(9), pages 1-13, April.
    21. Indre Siksnelyte & Edmundas Kazimieras Zavadskas & Dalia Streimikiene & Deepak Sharma, 2018. "An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues," Energies, MDPI, vol. 11(10), pages 1-21, October.
    22. Shuai, Jing & Cheng, Xin & Ding, Liping & Yang, Jun & Leng, Zhihui, 2019. "How should government and users share the investment costs and benefits of a solar PV power generation project in China?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 86-94.
    23. Betzabe Ruiz-Morales & Irma Cristina Espitia-Moreno & Victor G. Alfaro-Garcia & Ernesto Leon-Castro, 2021. "Sustainable Development Goals Analysis with Ordered Weighted Average Operators," Sustainability, MDPI, vol. 13(9), pages 1-27, May.
    24. Milad Kolagar & Seyed Mohammad Hassan Hosseini & Ramin Felegari & Parviz Fattahi, 2020. "Policy-making for renewable energy sources in search of sustainable development: a hybrid DEA-FBWM approach," Environment Systems and Decisions, Springer, vol. 40(4), pages 485-509, December.
    25. Bingsheng Liu & Meiqing Fu & Shuibo Zhang & Bin Xue & Qi Zhou & Shiruo Zhang, 2018. "An interval-valued 2-tuple linguistic group decision-making model based on the Choquet integral operator," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(2), pages 407-424, January.
    26. Jamal, Taskin & Urmee, Tania & Shafiullah, G.M., 2020. "Planning of off-grid power supply systems in remote areas using multi-criteria decision analysis," Energy, Elsevier, vol. 201(C).
    27. Saeed Khojaste Effatpanah & Mohammad Hossein Ahmadi & Pasura Aungkulanon & Akbar Maleki & Milad Sadeghzadeh & Mohsen Sharifpur & Lingen Chen, 2022. "Comparative Analysis of Five Widely-Used Multi-Criteria Decision-Making Methods to Evaluate Clean Energy Technologies: A Case Study," Sustainability, MDPI, vol. 14(3), pages 1-33, January.
    28. Büyüközkan, Gülçin & Güleryüz, Sezin, 2017. "Evaluation of Renewable Energy Resources in Turkey using an integrated MCDM approach with linguistic interval fuzzy preference relations," Energy, Elsevier, vol. 123(C), pages 149-163.

  83. F. Wu & P. Zhou & D. Zhou, 2015. "Measuring Energy Congestion in Chinese Industrial Sectors: A Slacks-Based DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 479-494, October.

    Cited by:

    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Eguchi, Shogo & Takayabu, Hirotaka & Lin, Chen, 2021. "Sources of inefficient power generation by coal-fired thermal power plants in China: A metafrontier DEA decomposition approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    3. Xian-tong Ren & Guo-liang Yang, 2024. "Eliminating congestion in China’s papermaking and paper products industry: From both the perspective of increasing and decreasing inputs," Journal of Productivity Analysis, Springer, vol. 61(1), pages 63-82, February.
    4. Wu, F. & Zhou, P. & Zhou, D.Q., 2020. "Modeling carbon emission performance under a new joint production technology with energy input," Energy Economics, Elsevier, vol. 92(C).
    5. Hu, Jin-Li & Chang, Ming-Chung & Tsay, Hui-Wen, 2017. "The congestion total-factor energy efficiency of regions in Taiwan," Energy Policy, Elsevier, vol. 110(C), pages 710-718.
    6. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    7. Ren, Xian-tong & Fukuyama, Hirofumi & Yang, Guo-liang, 2022. "Eliminating congestion by increasing inputs in R&D activities of Chinese universities," Omega, Elsevier, vol. 110(C).
    8. Xu, Bin & Lin, Boqiang, 2016. "A quantile regression analysis of China's provincial CO2 emissions: Where does the difference lie?," Energy Policy, Elsevier, vol. 98(C), pages 328-342.
    9. Chen, Zhenling & Li, Jinkai & Zhao, Weigang & Yuan, Xiao-Chen & Yang, Guo-liang, 2019. "Undesirable and desirable energy congestion measurements for regional coal-fired power generation industry in China," Energy Policy, Elsevier, vol. 125(C), pages 122-134.

  84. Zhou, X. & Fan, L.W. & Zhou, P., 2015. "Marginal CO2 abatement costs: Findings from alternative shadow price estimates for Shanghai industrial sectors," Energy Policy, Elsevier, vol. 77(C), pages 109-117.

    Cited by:

    1. Dong-Hyun Oh & JongWuk Ahn & Sinwoo Lee & Hyundo Choi, 2021. "Measuring technical inefficiency and CO2 shadow price of Korean fossil-fuel generation companies using deterministic and stochastic approaches," Energy & Environment, , vol. 32(3), pages 403-423, May.
    2. Wang, Ke & Yang, Kexin & Wei, Yi-Ming & Zhang, Chi, 2018. "Shadow prices of direct and overall carbon emissions in China’s construction industry: A parametric directional distance function-based sensitive estimation," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 180-193.
    3. Jie Zhang & Lu Zhang, 2016. "Impacts on CO 2 Emission Allowance Prices in China: A Quantile Regression Analysis of the Shanghai Emission Trading Scheme," Sustainability, MDPI, vol. 8(11), pages 1-12, November.
    4. Rakesh Kumar Jain & Surender Kumar, 2018. "Shadow price of CO2 emissions in Indian thermal power sector," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(4), pages 879-902, October.
    5. Wang, Jian & Lv, Kangjuan & Bian, Yiwen & Cheng, Yu, 2017. "Energy efficiency and marginal carbon dioxide emission abatement cost in urban China," Energy Policy, Elsevier, vol. 105(C), pages 246-255.
    6. Wang, Ailun & Hu, Shuo & Lin, Boqiang, 2021. "Emission abatement cost in China with consideration of technological heterogeneity," Applied Energy, Elsevier, vol. 290(C).
    7. He, Weijun & Yang, Yi & Wang, Zhaohua & Zhu, Joe, 2018. "Estimation and allocation of cost savings from collaborative CO2 abatement in China," Energy Economics, Elsevier, vol. 72(C), pages 62-74.
    8. Marc Baudry & Anouk Faure, 2021. "Technological Progress and Carbon Price Formation: an Analysis of EU-ETS Plants," Working Papers 2021.10, FAERE - French Association of Environmental and Resource Economists.
    9. Li, Tianxiang & Baležentis, Tomas & Makutėnienė, Daiva & Streimikiene, Dalia & Kriščiukaitienė, Irena, 2016. "Energy-related CO2 emission in European Union agriculture: Driving forces and possibilities for reduction," Applied Energy, Elsevier, vol. 180(C), pages 682-694.
    10. Hu, Guangxiao & Ma, Xiaoming & Ji, Junping, 2019. "Scenarios and policies for sustainable urban energy development based on LEAP model – A case study of a postindustrial city: Shenzhen China," Applied Energy, Elsevier, vol. 238(C), pages 876-886.
    11. Du, Limin & Lu, Yunguo & Ma, Chunbo, 2022. "Carbon efficiency and abatement cost of China's coal-fired power plants," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    12. Di Maria, Corrado & Zarkovic, Maja & Hintermann, Beat, 2020. "Are Emissions Trading Schemes Cost-effective?," Working papers 2020/13, Faculty of Business and Economics - University of Basel.
    13. A. Bellver-Domingo & F. Hernández-Sancho, 2018. "Environmental Benefit of Improving Wastewater Quality: A Shadow Prices Approach for Sensitive Areas," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 4(02), pages 1-15, April.
    14. Wei, Yigang & Liang, Xin & Xu, Liang & Kou, Gang & Chevallier, Julien, 2023. "Trading, storage, or penalty? Uncovering firms' decision-making behavior in the Shanghai emissions trading scheme: Insights from agent-based modeling," Energy Economics, Elsevier, vol. 117(C).
    15. Yu, Anyu & You, Jianxin & Rudkin, Simon & Zhang, Hao, 2019. "Industrial carbon abatement allocations and regional collaboration: Re-evaluating China through a modified data envelopment analysis," Applied Energy, Elsevier, vol. 233, pages 232-243.
    16. Wang, Kai-Hua & Liu, Lu & Zhong, Yifan & Lobonţ, Oana-Ramona, 2022. "Economic policy uncertainty and carbon emission trading market: A China's perspective," Energy Economics, Elsevier, vol. 115(C).
    17. Silva, Felipe & Fulginiti, Lilyan E. & Perrin, Richard K., 2016. "Did technical change in agricultural production decrease the emission of pollutants on the Amazon Forest during 1990-2009?," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230092, Southern Agricultural Economics Association.
    18. Wu, F. & Wang, S.Y. & Zhou, P., 2023. "Marginal abatement cost of carbon dioxide emissions: The role of abatement options," European Journal of Operational Research, Elsevier, vol. 310(2), pages 891-901.
    19. Kai Cheng & Hsin-Pei Hsueh & Omid Ranjbar & Mei-Chih Wang & Tsangyao Chang, 2021. "Urbanization, coal consumption and CO2 emissions nexus in China using bootstrap Fourier Granger causality test in quantiles," Letters in Spatial and Resource Sciences, Springer, vol. 14(1), pages 31-49, April.
    20. Erdong Zhao & Jianmin Chen & Junmei Lan & Liwei Liu, 2024. "Power Generation Mix Optimization under Auction Mechanism for Carbon Emission Rights," Energies, MDPI, vol. 17(3), pages 1-24, January.
    21. Yang, Jun & Cheng, Jixin & Zou, Ran & Geng, Zhifei, 2021. "Industrial SO2 technical efficiency, reduction potential and technology heterogeneities of China's prefecture-level cities: A multi-hierarchy meta-frontier parametric approach," Energy Economics, Elsevier, vol. 104(C).
    22. Dai, Sheng & Zhou, Xun & Kuosmanen, Timo, 2020. "Forward-looking assessment of the GHG abatement cost: Application to China," Energy Economics, Elsevier, vol. 88(C).
    23. Letmathe, Peter & Wagner, Sandra, 2018. "“Messy” marginal costs: Internal pricing of environmental aspects on the firm level," International Journal of Production Economics, Elsevier, vol. 201(C), pages 41-52.
    24. Chang-Jing Ji & Yu-Jie Hu & Bao-Jun Tang, 2018. "Research on carbon market price mechanism and influencing factors: a literature review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 761-782, June.
    25. Wang, Zhaohua & Song, Yanwu & Shen, Zhiyang, 2022. "Global sustainability of carbon shadow pricing: The distance between observed and optimal abatement costs," Energy Economics, Elsevier, vol. 110(C).
    26. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis," Energy Economics, Elsevier, vol. 48(C), pages 217-229.
    27. Ma, Chunbo & Hailu, Atakelty & You, Chaoying, 2019. "A critical review of distance function based economic research on China’s marginal abatement cost of carbon dioxide emissions," Energy Economics, Elsevier, vol. 84(C).
    28. Zhenkai Yang & Mei-Chih Wang & Tsangyao Chang & Wing-Keung Wong & Fangjhy Li, 2022. "Which Factors Determine CO 2 Emissions in China? Trade Openness, Financial Development, Coal Consumption, Economic Growth or Urbanization: Quantile Granger Causality Test," Energies, MDPI, vol. 15(7), pages 1-18, March.
    29. Lee, Chia-Yen & Wang, Ke, 2019. "Nash marginal abatement cost estimation of air pollutant emissions using the stochastic semi-nonparametric frontier," European Journal of Operational Research, Elsevier, vol. 273(1), pages 390-400.
    30. Zhencheng Xing & Jigan Wang & Jie Zhang, 2017. "CO 2 Emission Performance, Mitigation Potential, and Marginal Abatement Cost of Industries Covered in China’s Nationwide Emission Trading Scheme: A Meta-Frontier Analysis," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    31. Zhiyang Shen & Jean-Philippe Boussemart & Hervé Leleu, 2016. "Worldwide carbon shadow prices during 1990–2011," Working Papers 2016-EQM-04, IESEG School of Management.
    32. Wu, Yinyin & Yu, Jie & Song, Malin & Chen, Jiandong & Hou, Wenxuan, 2021. "Shadow prices of industrial air pollutant emissions in China," Economic Modelling, Elsevier, vol. 94(C), pages 726-736.
    33. Ling-Yun He & Jia-Jia Ou, 2017. "Pollution Emissions, Environmental Policy, and Marginal Abatement Costs," IJERPH, MDPI, vol. 14(12), pages 1-16, December.
    34. Ke Wang & Linan Che & Chunbo Ma & Yi-Ming Wei, 2017. "The Shadow Price of CO2 Emissions in China's Iron and Steel Industry," CEEP-BIT Working Papers 105, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    35. Zeng, Shihong & Jiang, Xue & Su, Bin & Nan, Xin, 2018. "China's SO2 shadow prices and environmental technical efficiency at the province level," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 86-102.
    36. Wenyin Cheng & Zhusong Yang & Xia Pan & Tomas Baležentis & Xueli Chen, 2020. "Evolution of Carbon Shadow Prices in China’s Industrial Sector during 2003–2017: A By-Production Approach," Sustainability, MDPI, vol. 12(2), pages 1-14, January.
    37. Kejia Yang & Yalin Lei, 2017. "The carbon dioxide marginal abatement cost calculation of Chinese provinces based on stochastic frontier analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(1), pages 505-521, January.
    38. Liu, Guangtian & Wang, Bing & Zhang, Ning, 2016. "A coin has two sides: Which one is driving China’s green TFP growth?," Economic Systems, Elsevier, vol. 40(3), pages 481-498.
    39. Liangpeng Wu & Qingyuan Zhu, 2021. "Impacts of the carbon emission trading system on China’s carbon emission peak: a new data-driven approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2487-2515, July.
    40. Ji, D.J. & Zhou, P., 2020. "Marginal abatement cost, air pollution and economic growth: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 86(C).
    41. Yongrok Choi & Chao Qi, 2019. "Is South Korea’s Emission Trading Scheme Effective? An Analysis Based on the Marginal Abatement Cost of Coal-Fueled Power Plants," Sustainability, MDPI, vol. 11(9), pages 1-12, April.
    42. Ye Duan & Nan Li & Hailin Mu & Shusen Gui, 2017. "Research on CO 2 Emission Reduction Mechanism of China’s Iron and Steel Industry under Various Emission Reduction Policies," Energies, MDPI, vol. 10(12), pages 1-24, December.
    43. He, Qi & Jiang, Xujia & Gouldson, Andy & Sudmant, Andrew & Guan, Dabo & Colenbrander, Sarah & Xue, Tao & Zheng, Bo & Zhang, Qiang, 2016. "Climate change mitigation in Chinese megacities: A measures-based analysis of opportunities in the residential sector," Applied Energy, Elsevier, vol. 184(C), pages 769-778.
    44. Di Peng & Haibin Liu, 2023. "Marginal Carbon Dioxide Emission Reduction Cost and Influencing Factors in Chinese Industry Based on Bayes Bootstrap," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    45. Tang, Kai & Yang, Lin & Zhang, Jianwu, 2016. "Estimating the regional total factor efficiency and pollutants’ marginal abatement costs in China: A parametric approach," Applied Energy, Elsevier, vol. 184(C), pages 230-240.
    46. Bowen Xiao & Dongxiao Niu & Han Wu & Haichao Wang, 2017. "Marginal Abatement Cost of CO 2 in China Based on Directional Distance Function: An Industry Perspective," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    47. Yu, Anyu & Zhang, Puwei & Rudkin, Simon, 2022. "Simultaneous action or protection after production? Decision making based on a chance-constrained approach by measuring environmental performance considering PM2.5," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    48. Jiandong Chen & Ming Gao & Shulei Cheng & Yiyin Xu & Malin Song & Yu Liu & Wenxuan Hou & Shuhong Wang, 2022. "Evaluation and drivers of global low-carbon economies based on satellite data," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    49. Ding, Qi & Xiao, Xinping & Kong, Dekai, 2023. "Estimating energy-related CO2 emissions using a novel multivariable fuzzy grey model with time-delay and interaction effect characteristics," Energy, Elsevier, vol. 263(PE).
    50. Lee, Chia-Yen & Zhou, Peng, 2015. "Directional shadow price estimation of CO2, SO2 and NOx in the United States coal power industry 1990–2010," Energy Economics, Elsevier, vol. 51(C), pages 493-502.
    51. Zhang, Ning & Huang, Xuhui & Qi, Chao, 2022. "The effect of environmental regulation on the marginal abatement cost of industrial firms: Evidence from the 11th Five-Year Plan in China," Energy Economics, Elsevier, vol. 112(C).
    52. Kuosmanen, Timo & Zhou, Xun, 2021. "Shadow prices and marginal abatement costs: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 289(2), pages 666-675.
    53. Dong-Xiao Yang & Lei Yang & Xiao-Ling Chen & Chan Wang & Pu-Yan Nie, 2023. "Research on credit pricing mechanism in dual-credit policy: is the government in charge or is the market in charge?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1561-1581, February.
    54. Lee, Chia-Yen, 2018. "Mixed-strategy Nash equilibrium in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1013-1024.
    55. Sala-Garrido, Ramon & Mocholi-Arce, Manuel & Molinos-Senante, Maria & Maziotis, Alexandros, 2021. "Assessing the marginal cost of reducing greenhouse gas emissions in the English and Welsh water and sewerage industry: A parametric approach," Utilities Policy, Elsevier, vol. 70(C).

  85. Qunwei Wang & Peng Zhou & Zengyao Zhao & Neng Shen, 2014. "Energy Efficiency and Energy Saving Potential in China: A Directional Meta-Frontier DEA Approach," Sustainability, MDPI, vol. 6(8), pages 1-17, August.

    Cited by:

    1. Cayir Ervural, Beyzanur & Zaim, Selim & Delen, Dursun, 2018. "A two-stage analytical approach to assess sustainable energy efficiency," Energy, Elsevier, vol. 164(C), pages 822-836.
    2. Emrouznejad, Ali & Yang, Guo-liang, 2016. "A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries," Energy, Elsevier, vol. 115(P1), pages 840-856.
    3. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    4. Zeng, Shihong & Nan, Xin & Liu, Chao & Chen, Jiuying, 2017. "The response of the Beijing carbon emissions allowance price (BJC) to macroeconomic and energy price indices," Energy Policy, Elsevier, vol. 106(C), pages 111-121.
    5. Doo-Young Park & Kanghwa Choi & Dae-Han Kang, 2020. "Measuring the Meta Efficiency and Its Determinants on Efficiency in the Korean Coffee Shop Franchise," Sustainability, MDPI, vol. 12(6), pages 1-20, March.
    6. Ming Meng & Yanan Fu & Tianyu Wang & Kaiqiang Jing, 2017. "Analysis of Low-Carbon Economy Efficiency of Chinese Industrial Sectors Based on a RAM Model with Undesirable Outputs," Sustainability, MDPI, vol. 9(3), pages 1-18, March.
    7. Yang, Guo-liang & Fukuyama, Hirofumi, 2018. "Measuring the Chinese regional production potential using a generalized capacity utilization indicator," Omega, Elsevier, vol. 76(C), pages 112-127.
    8. Shao, Yanmin, 2017. "Analysis of energy savings potential of China's nonferrous metals industry," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 25-33.
    9. Zeng, Shihong & Jiang, Chunxia & Ma, Chen & Su, Bin, 2018. "Investment efficiency of the new energy industry in China," Energy Economics, Elsevier, vol. 70(C), pages 536-544.
    10. Bingquan Liu & Yongqing Li & Rui Hou & Hui Wang, 2019. "Does Urbanization Improve Industrial Water Consumption Efficiency?," Sustainability, MDPI, vol. 11(6), pages 1-17, March.
    11. Huang, Shi-Wei & Chung, Yung-Fu & Wu, Tai-Hsi, 2021. "Analyzing the relationship between energy security performance and decoupling of economic growth from CO2 emissions for OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    12. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    13. Zhang, Jian & Zhang, Wei & Song, Qi & Li, Xin & Ye, Xuanting & Liu, Yu & Xue, Yawei, 2020. "Can energy saving policies drive firm innovation behaviors? - Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    14. Fenghua Wen & Zhanlin Sun & Yu Luo, 2023. "Population Structure and Local Carbon Emission Reduction: Evidence from Guangdong, China," Sustainability, MDPI, vol. 15(5), pages 1-27, February.
    15. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "Analysis of green total-factor productivity in China's regional metal industry: A meta-frontier approach," Resources Policy, Elsevier, vol. 58(C), pages 219-229.
    16. Wei Yang & Zudi Lu & Di Wang & Yanmin Shao & Jinfeng Shi, 2020. "Sustainable Evolution of China’s Regional Energy Efficiency Based on a Weighted SBM Model with Energy Substitutability," Sustainability, MDPI, vol. 12(23), pages 1-22, December.
    17. Chang, Kai & Chen, Rongda & Chevallier, Julien, 2018. "Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 75(C), pages 249-260.
    18. Chen, Ya & Pan, Yongbin & Wang, Mengyuan & Ding, Tao & Zhou, Zhixiang & Wang, Ke, 2023. "How do industrial sectors contribute to carbon peaking and carbon neutrality goals? A heterogeneous energy efficiency analysis for Beijing," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 67-80.
    19. Kounetas, Konstantinos & Stergiou, Eirini, 2019. "Technology heterogeneity in European industries' energy efficiency performance. The role of climate, greenhouse gases, path dependence and energy mix," MPRA Paper 92314, University Library of Munich, Germany.
    20. Dong Hee Suh, 2015. "Declining Energy Intensity in the U.S. Agricultural Sector: Implications for Factor Substitution and Technological Change," Sustainability, MDPI, vol. 7(10), pages 1-14, September.
    21. Lei Wang & Ruyin Long & Hong Chen, 2017. "Study of Urban Energy Performance Assessment and Its Influencing Factors Based on Improved Stochastic Frontier Analysis: A Case Study of Provincial Capitals in China," Sustainability, MDPI, vol. 9(7), pages 1-18, June.
    22. Wang, Nannan & Chen, Ji & Yao, Shengnan & Chang, Yen-Chiang, 2018. "A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2606-2612.
    23. Kiril Simeonovski & Tamara Kaftandzieva & Gregory Brock, 2021. "Energy Efficiency Management across EU Countries: A DEA Approach," Energies, MDPI, vol. 14(9), pages 1-19, May.
    24. Yang Zhang & Hekun Wang & Taomeizi Zhou & Zhiwei Li & Xiaoping Jia, 2022. "Extended Carbon Emission Pinch Analysis for the Low-Carbon Tobacco Industry," Energies, MDPI, vol. 15(13), pages 1-14, June.
    25. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    26. Shihong Zeng & Mimi Hu & Bin Su, 2016. "Research on Investment Efficiency and Policy Recommendations for the Culture Industry of China Based on a Three-Stage DEA," Sustainability, MDPI, vol. 8(4), pages 1-15, March.
    27. Fang-Rong Ren & Ze Tian & Yu-Ting Shen & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Energy, CO 2 , and AQI Efficiency and Improvement of the Yangtze River Economic Belt," Energies, MDPI, vol. 12(4), pages 1-17, February.
    28. Zhang, Bin & Lu, Danting & He, Yan & Chiu, Yung-ho, 2018. "The efficiencies of resource-saving and environment: A case study based on Chinese cities," Energy, Elsevier, vol. 150(C), pages 493-507.
    29. Shihong Zeng & Jiuying Chen, 2016. "Forecasting the Allocation Ratio of Carbon Emission Allowance Currency for 2020 and 2030 in China," Sustainability, MDPI, vol. 8(7), pages 1-28, July.
    30. Ru Ji & Shilin Qu, 2019. "Investigation and Evaluation of Energy Consumption Performance for Hospital Buildings in China," Sustainability, MDPI, vol. 11(6), pages 1-14, March.
    31. Lei Chen & Fei-Mei Wu & Feng Feng & Fujun Lai & Ying-Ming Wang, 2018. "A Common Set of Weights for Ranking Decision-Making Units with Undesirable Outputs: A Double Frontiers Data Envelopment Analysis Approach," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(06), pages 1-25, December.

  86. Zhang, Huiming & Li, Lianshui & Zhou, Peng & Hou, Jianmin & Qiu, Yueming, 2014. "Subsidy modes, waste cooking oil and biofuel: Policy effectiveness and sustainable supply chains in China," Energy Policy, Elsevier, vol. 65(C), pages 270-274.

    Cited by:

    1. Zhang, Huiming & Xu, Zhidong & Zhou, Dequn & Cao, Jie, 2017. "Waste cooking oil-to-energy under incomplete information: Identifying policy options through an evolutionary game," Applied Energy, Elsevier, vol. 185(P1), pages 547-555.
    2. Wang, Zhanwu & Wang, Zhenfeng & Tahir, Nadeem & Wang, Heng & Li, Jin & Xu, Guangyin, 2020. "Study of synergetic development in straw power supply chain: Straw price and government subsidy as incentive," Energy Policy, Elsevier, vol. 146(C).
    3. Zhao, Yuanhao & Wang, Changbo & Zhang, Lixiao & Chang, Yuan & Hao, Yan, 2021. "Converting waste cooking oil to biodiesel in China: Environmental impacts and economic feasibility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    4. Shi, Yi & Deng, Yawen & Wang, Guoan & Xu, Jiuping, 2020. "Stackelberg equilibrium-based eco-economic approach for sustainable development of kitchen waste disposal with subsidy policy: A case study from China," Energy, Elsevier, vol. 196(C).
    5. Gurunathan Manikandan & P. Rajesh Kanna & Dawid Taler & Tomasz Sobota, 2023. "Review of Waste Cooking Oil (WCO) as a Feedstock for Biofuel—Indian Perspective," Energies, MDPI, vol. 16(4), pages 1-17, February.
    6. Qiuyun Zhu & Xiaoyang Zhou & Aijun Liu & Chong Gao & Lei Xu & Fan Zhao & Ding Zhang & Benjamin Lev, 2022. "Equilibrium Optimization with Multi-Energy-Efficiency-Grade Products: Government and Market Perspective," Energies, MDPI, vol. 15(19), pages 1-23, October.
    7. Fan, Lurong & Wang, Binyu & Song, Xiaoling, 2023. "An authority-enterprise equilibrium differentiated subsidy mechanism for promoting coalbed methane extraction in multiple coal seams," Energy, Elsevier, vol. 263(PA).
    8. Zhang, Huiming & Zheng, Yu & Cao, Jie & Qiu, Yueming, 2017. "Has government intervention effectively encouraged the use of waste cooking oil as an energy source? Comparison of two Chinese biofuel companies," Energy, Elsevier, vol. 140(P1), pages 708-715.
    9. Zhang, Huiming & Aytun Ozturk, U. & Wang, Qunwei & Zhao, Zengyao, 2014. "Biodiesel produced by waste cooking oil: Review of recycling modes in China, the US and Japan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 677-685.
    10. Zhou, Yuanqi & Yang, Jinqiang & Jia, Zhijie, 2023. "Optimizing energy efficiency investments in steel firms: A real options model considering carbon trading and tax cuts during challenging economic conditions," Resources Policy, Elsevier, vol. 85(PA).
    11. Yuyin Yi & Jinxi Li, 2018. "Cost-Sharing Contracts for Energy Saving and Emissions Reduction of a Supply Chain under the Conditions of Government Subsidies and a Carbon Tax," Sustainability, MDPI, vol. 10(3), pages 1-33, March.
    12. Shi, Yi & Xu, Jiuping, 2023. "A multi-objective approach to kitchen waste and excess sludge co-digestion for biomethane production with anaerobic digestion," Energy, Elsevier, vol. 262(PA).
    13. George Halkos & Kleoniki Natalia Petrou, 2019. "Analysing the Energy Efficiency of EU Member States: The Potential of Energy Recovery from Waste in the Circular Economy," Energies, MDPI, vol. 12(19), pages 1-32, September.
    14. Cho, Sangmin & Kim, Jihyo & Park, Hi-Chun & Heo, Eunnyeong, 2015. "Incentives for waste cooking oil collection in South Korea: A contingent valuation approach," Resources, Conservation & Recycling, Elsevier, vol. 99(C), pages 63-71.
    15. Fan, Lurong & Ma, Ning & Zhang, Wen, 2023. "Multi-stakeholder equilibrium-based subsidy allocation mechanism for promoting coalbed methane scale extraction-utilization," Energy, Elsevier, vol. 277(C).

  87. Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.

    Cited by:

    1. Meiqiang Wang & Yingwen Chen & Zhixiang Zhou, 2020. "A Novel Stochastic Two-Stage DEA Model for Evaluating Industrial Production and Waste Gas Treatment Systems," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
    2. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    3. Luqi Wang & Xiaolong Xue & Yue Shi & Zeyu Wang & Ankang Ji, 2018. "A Dynamic Analysis to Evaluate the Environmental Performance of Cities in China," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    4. Jinpei Liu & Mengdi Fang & Feifei Jin & Chengsong Wu & Huayou Chen, 2020. "Multi-Attribute Decision Making Based on Stochastic DEA Cross-Efficiency with Ordinal Variable and Its Application to Evaluation of Banks’ Sustainable Development," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
    5. Li, Tianxiang & Baležentis, Tomas & Makutėnienė, Daiva & Streimikiene, Dalia & Kriščiukaitienė, Irena, 2016. "Energy-related CO2 emission in European Union agriculture: Driving forces and possibilities for reduction," Applied Energy, Elsevier, vol. 180(C), pages 682-694.
    6. Wang, Zhaohua & He, Weijun & Wang, Bo, 2017. "Performance and reduction potential of energy and CO2 emissions among the APEC's members with considering the return to scale," Energy, Elsevier, vol. 138(C), pages 552-562.
    7. Claude Francoeur & Faten Lakhal & Safa Gaaya & Itidel Ben Saad, 2021. "How do powerful CEOs influence corporate environmental performance?," Post-Print hal-02976839, HAL.
    8. Anastasia Salnikova & Yuri Chepurko & Nadezhda Starkova & Hi?n Nguy?n Ho ng, 2019. "External Effects of Renewable Energy Projects: Life Cycle Analysis-based Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 256-262.
    9. Shoaib Aslam & Mohamed H. Elmagrhi & Ramiz Ur Rehman & Collins G. Ntim, 2021. "Environmental management practices and financial performance using data envelopment analysis in Japan: The mediating role of environmental performance," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 1655-1673, May.
    10. Grebel, Thomas & Islam, Rohidul, 2022. "Endogenous cap reduction in Emission Trading Systems," Ilmenau Economics Discussion Papers 169, Ilmenau University of Technology, Institute of Economics.
    11. Yi Zhou & Lianshui Li & Ruiling Sun & Zaiwu Gong & Mingguo Bai & Guo Wei, 2019. "Haze Influencing Factors: A Data Envelopment Analysis Approach," IJERPH, MDPI, vol. 16(6), pages 1-16, March.
    12. Abdullah Üstün & Gülay Barbarosoğlu, 2015. "Performance evaluation of Turkish disaster relief management system in 1999 earthquakes using data envelopment analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 1977-1996, January.
    13. Cosimo Magazzino, 2017. "The relationship among economic growth, CO2 emissions, and energy use in the APEC countries: a panel VAR approach," Environment Systems and Decisions, Springer, vol. 37(3), pages 353-366, September.
    14. Francoeur, Claude & Lakhal, Faten & Gaaya, Safa & Ben Saad, Itidel, 2021. "How do powerful CEOs influence corporate environmental performance?," Economic Modelling, Elsevier, vol. 94(C), pages 121-129.
    15. Abdullah Üstün, 2016. "Evaluating İstanbul’s disaster resilience capacity by data envelopment analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1603-1623, February.
    16. Arjomandi, Amir & Seufert, Juergen Heinz, 2014. "An evaluation of the world's major airlines' technical and environmental performance," Economic Modelling, Elsevier, vol. 41(C), pages 133-144.
    17. Li, Zhi & Ouyang, Xiaoling & Du, Kerui & Zhao, Yang, 2017. "Does government transparency contribute to improved eco-efficiency performance? An empirical study of 262 cities in China," Energy Policy, Elsevier, vol. 110(C), pages 79-89.
    18. Khodadadipour, M. & Hadi-Vencheh, A. & Behzadi, M.H. & Rostamy-malkhalifeh, M., 2021. "Undesirable factors in stochastic DEA cross-efficiency evaluation: An application to thermal power plant energy efficiency," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 613-628.
    19. Abdullah Korkut Üstün, 2016. "Evaluating İstanbul’s disaster resilience capacity by data envelopment analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1603-1623, February.
    20. Yin, Pengzhen & Sun, Jiasen & Chu, Junfei & Liang, Liang, 2016. "Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspectiveAuthor-Name: Wu, Jie," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1047-1062.
    21. Yu, Anyu & Zhang, Puwei & Rudkin, Simon, 2022. "Simultaneous action or protection after production? Decision making based on a chance-constrained approach by measuring environmental performance considering PM2.5," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    22. Jie Wu & Jun-Fei Chu & Liang Liang, 2016. "Target setting and allocation of carbon emissions abatement based on DEA and closest target: an application to 20 APEC economies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 279-296, November.
    23. Stergios Athanassoglou, 2016. "Revisiting Worst-Case DEA for Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1259-1272, September.
    24. Yu, Shasha & Yuan, Xuanyu & Yao, Xinyan & Lei, Ming, 2022. "Carbon leakage and low-carbon performance: Heterogeneity of responsibility perspectives," Energy Policy, Elsevier, vol. 165(C).

  88. Bai, Y. & Dahl, C.A. & Zhou, D.Q. & Zhou, P., 2014. "Stockpile strategy for China׳s emergency oil reserve: A dynamic programming approach," Energy Policy, Elsevier, vol. 73(C), pages 12-20.

    Cited by:

    1. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.
    2. Yu, Shiwei & Gao, Siwei & sun, Han, 2016. "A dynamic programming model for environmental investment decision-making in coal mining," Applied Energy, Elsevier, vol. 166(C), pages 273-281.
    3. Bai, Yang & Dahl, Carol, 2018. "Evaluating the management of U.S. Strategic Petroleum Reserve during oil disruptions," Energy Policy, Elsevier, vol. 117(C), pages 25-38.
    4. Xie, Nan & Yan, Zhijun & Zhou, Yi & Huang, Wenjun, 2017. "China's optimal stockpiling policies in the context of new oil price trend," Energy Policy, Elsevier, vol. 105(C), pages 332-340.
    5. Li, Tianxiao & Liu, Pei & Li, Zheng, 2021. "Optimal scale of natural gas reserves in China under increasing and fluctuating demand: A quantitative analysis," Energy Policy, Elsevier, vol. 152(C).

  89. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.

    Cited by:

    1. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    2. Zhang, Guanglu & Lin, Boqiang, 2018. "Impact of structure on unified efficiency for Chinese service sector—A two-stage analysis," Applied Energy, Elsevier, vol. 231(C), pages 876-886.
    3. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    4. Yigang Wei & Yan Li & Meiyu Wu & Yingbo Li, 2020. "Progressing sustainable development of “the Belt and Road countries”: Estimating environmental efficiency based on the Super‐slack‐based measure model," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 521-539, July.
    5. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    6. Jiang, Lei & He, Shixiong & Zhou, Haifeng & Kong, Hao & Wang, Jionghua & Cui, Yuanzheng & Wang, Lei, 2021. "Coordination between sulfur dioxide pollution control and rapid economic growth in China: Evidence from satellite observations and spatial econometric models," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 279-291.
    7. Chen, Yi & Long, Xingle & Salman, Muhammad, 2021. "Did the 2014 Nanjing Youth Olympic Games enhance environmental efficiency? New evidence from a quasi-natural experiment," Energy Policy, Elsevier, vol. 159(C).
    8. Hongjun Dai & Tao Sun & Wen Guo, 2016. "Brownfield Redevelopment Evaluation Based on Fuzzy Real Options," Sustainability, MDPI, vol. 8(2), pages 1-10, February.
    9. Tan, Xiujie & Choi, Yongrok & Wang, Banban & Huang, Xiaoqi, 2020. "Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    10. Li, Juan & Ma, Shaoqi & Qu, Yi & Wang, Jiamin, 2023. "The impact of artificial intelligence on firms’ energy and resource efficiency: Empirical evidence from China," Resources Policy, Elsevier, vol. 82(C).
    11. Yu, Yanni & Wu, Wenjie & Zhang, Tao & Liu, Yanchu, 2016. "Environmental catching-up, eco-innovation, and technological leadership in China's pilot ecological civilization zones," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 228-236.
    12. Zhou, Wei & Chen, Jin, 2021. "Is R&D helpful for China’s energy technology and engineering industry to respond to external uncertainties?," Energy, Elsevier, vol. 226(C).
    13. Feihua Huang & Yue Du & Debao Hu & Bin Zhang, 2021. "Sustainable Performance Analysis of Power Supply Chain System from the Perspective of Technology and Management," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    14. Hongjun Dai & Tao Sun & Kun Zhang & Wen Guo, 2015. "Research on Rural Nonpoint Source Pollution in the Process of Urban-Rural Integration in the Economically-Developed Area in China Based on the Improved STIRPAT Model," Sustainability, MDPI, vol. 7(1), pages 1-12, January.
    15. Lin, Boqiang & Bai, Rui, 2020. "Dynamic energy performance evaluation of Chinese textile industry," Energy, Elsevier, vol. 199(C).
    16. Fei, Rilong & Lin, Boqiang, 2017. "The integrated efficiency of inputs–outputs and energy – CO2 emissions performance of China's agricultural sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 668-676.
    17. Du, Limin & Lu, Yunguo & Ma, Chunbo, 2022. "Carbon efficiency and abatement cost of China's coal-fired power plants," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    18. Qu, Chenyao & Shao, Jun & Shi, Zhenkai, 2020. "Does financial agglomeration promote the increase of energy efficiency in China?," Energy Policy, Elsevier, vol. 146(C).
    19. Yanni Yu & Yongrok Choi, 2015. "Measuring Environmental Performance Under Regional Heterogeneity in China: A Metafrontier Efficiency Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 375-388, October.
    20. Li, Jianglong & Lin, Boqiang, 2017. "Does energy and CO2 emissions performance of China benefit from regional integration?," Energy Policy, Elsevier, vol. 101(C), pages 366-378.
    21. Xie, Hualin & Yu, Yanni & Wang, Wei & Liu, Yanchu, 2017. "The substitutability of non-fossil energy, potential carbon emission reduction and energy shadow prices in China," Energy Policy, Elsevier, vol. 107(C), pages 63-71.
    22. Juan Wang & Tao Zhao & Xiaohu Zhang, 2017. "Changes in carbon intensity of China’s energy-intensive industries: a combined decomposition and attribution analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1655-1675, September.
    23. Zhao, Rui & Zhou, Xiao & Han, Jiaojie & Liu, Chengliang, 2016. "For the sustainable performance of the carbon reduction labeling policies under an evolutionary game simulation," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 262-274.
    24. Eguchi, Shogo & Takayabu, Hirotaka & Lin, Chen, 2021. "Sources of inefficient power generation by coal-fired thermal power plants in China: A metafrontier DEA decomposition approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    25. Aizhen Zhang & Aijun Li & Yaping Gao, 2018. "Social Sustainability Assessment across Provinces in China: An Analysis of Combining Intermediate Approach with Data Envelopment Analysis (DEA) Window Analysis," Sustainability, MDPI, vol. 10(3), pages 1-24, March.
    26. Lin, Boqiang & Xu, Mengmeng, 2019. "Good subsidies or bad subsidies? Evidence from low-carbon transition in China's metallurgical industry," Energy Economics, Elsevier, vol. 83(C), pages 52-60.
    27. Ke Li & Malin Song, 2016. "Green Development Performance in China: A Metafrontier Non-Radial Approach," Sustainability, MDPI, vol. 8(3), pages 1-21, March.
    28. Guo, Qiu-tong & Dong, Yong & Feng, Biao & Zhang, Hao, 2023. "Can green finance development promote total-factor energy efficiency? Empirical evidence from China based on a spatial Durbin model," Energy Policy, Elsevier, vol. 177(C).
    29. Zhang, Yijun & Song, Yi, 2020. "Unified efficiency of coal mining enterprises in China: An analysis based on meta-frontier non-radial directional distance functions," Resources Policy, Elsevier, vol. 65(C).
    30. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    31. Ioannis E. Tsolas, 2023. "Efficiency Measurement of Lignite-Fired Power Plants in Greece Using a DEA-Bootstrap Approach," Sustainability, MDPI, vol. 15(4), pages 1-10, February.
    32. Ya Wu & Yin Liu & Minglong Zhang, 2023. "How Does Digital Finance Affect Energy Efficiency?—Characteristics, Mechanisms, and Spatial Effects," Sustainability, MDPI, vol. 15(9), pages 1-24, April.
    33. David C Broadstock & Jiajia Li & Dayong Zhang, 2015. "Efficiency Snakes and Energy Ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 151, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    34. Shogo Eguchi, 2022. "CO 2 Reduction Potential from Efficiency Improvements in China’s Coal-Fired Thermal Power Generation: A Combined Approach of Metafrontier DEA and LMDI," Energies, MDPI, vol. 15(7), pages 1-19, March.
    35. Li, Aijun & Zhang, Aizhen & Huang, Huijie & Yao, Xin, 2018. "Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions," Energy, Elsevier, vol. 152(C), pages 549-561.
    36. Ya Chen & Wade D. Cook & Juan Du & Hanhui Hu & Joe Zhu, 2017. "Bounded and discrete data and Likert scales in data envelopment analysis: application to regional energy efficiency in China," Annals of Operations Research, Springer, vol. 255(1), pages 347-366, August.
    37. Jiang, Wei & Li, Xitao & Liu, Ruoxi & Song, Yijia, 2022. "Local fiscal pressure, policy distortion and energy efficiency: Micro-evidence from a quasi-natural experiment in China," Energy, Elsevier, vol. 254(PB).
    38. Wang, Hongxia & Zhang, Junfeng & Fang, Hong, 2017. "Electricity footprint of China’s industrial sectors and its socioeconomic drivers," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 98-106.
    39. Zhang, Ning & Wu, Tao & Wang, Bing & Dong, Liang & Ren, Jingzhen, 2015. "Sustainable water resource and endogenous economic growth," MPRA Paper 73457, University Library of Munich, Germany.
    40. Yung-Hsiang Lu & Ku-Hsieh Chen & Jen-Chi Cheng & Chih-Chun Chen & Sian-Yuan Li, 2019. "Analysis of Environmental Productivity on Fossil Fuel Power Plants in the U.S," Sustainability, MDPI, vol. 11(24), pages 1-27, December.
    41. Zhang, Ning & Choi, Yongrok & Wang, Wei, 2019. "Does energy research funding work? Evidence from the Natural Science Foundation of China using TEI@I method," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 369-380.
    42. Xiongfeng Pan & Yaobo Yan & Xiaoxue Peng & Qing Liu, 2016. "Analysis of the Threshold Effect of Financial Development on China’s Carbon Intensity," Sustainability, MDPI, vol. 8(3), pages 1-14, March.
    43. Chen, Jiabin & Wen, Shaobo & Liu, Yuchen, 2022. "Research on the efficiency of the mining industry in China from the perspective of time and space," Resources Policy, Elsevier, vol. 75(C).
    44. He, Ling-Yun & Huang, Geng, 2022. "Are China's trade interests overestimated? Evidence from firms’ importing behavior and pollution emissions," China Economic Review, Elsevier, vol. 71(C).
    45. Wei, Chu & Löschel, Andreas & Liu, Bing, 2015. "Energy-saving and emission-abatement potential of Chinese coal-fired power enterprise: A non-parametric analysis," Energy Economics, Elsevier, vol. 49(C), pages 33-43.
    46. Duan, Na & Guo, Jun-Peng & Xie, Bai-Chen, 2016. "Is there a difference between the energy and CO2 emission performance for China’s thermal power industry? A bootstrapped directional distance function approach," Applied Energy, Elsevier, vol. 162(C), pages 1552-1563.
    47. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    48. Lin, Boqiang & Chen, Yu, 2020. "Will land transport infrastructure affect the energy and carbon dioxide emissions performance of China’s manufacturing industry?," Applied Energy, Elsevier, vol. 260(C).
    49. Li, Gao & Ruonan, Li & Yingdan, Mei & Xiaoli, Zhao, 2022. "Improve technical efficiency of China's coal-fired power enterprises: Taking a coal-fired-withdrawl context," Energy, Elsevier, vol. 252(C).
    50. Liu, Hongxun & Gao, Jinfeng & Tian, Peng & Ma, Xiaoming & Meng, Guanfei & Yang, Jingnan & Li, Zhi, 2023. "The impact of environmental regulation on productivity with co-production of goods and bads," Energy Economics, Elsevier, vol. 125(C).
    51. Lin, Boqiang & Xu, Mengmeng, 2018. "Regional differences on CO2 emission efficiency in metallurgical industry of China," Energy Policy, Elsevier, vol. 120(C), pages 302-311.
    52. Yongrok Choi & Yunning Ma & Yu Zhao & Hyoungsuk Lee, 2023. "Inequality in Fossil Fuel Power Plants in China: A Perspective of Efficiency and Abatement Cost," Sustainability, MDPI, vol. 15(5), pages 1-15, March.
    53. Jianglong Li & Boqiang Lin, 2016. "Green Economy Performance and Green Productivity Growth in China’s Cities: Measures and Policy Implication," Sustainability, MDPI, vol. 8(9), pages 1-21, September.
    54. Tan, Ruipeng & Xu, Mengmeng & Qiao, Gang & Wu, Huaqing, 2023. "FDI, financial market development and nonlinearities of energy and environmental efficiency in China: Evidence from both parametric and nonparametric models," Energy Economics, Elsevier, vol. 119(C).
    55. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    56. Kuang, Yunming & Lin, Boqiang, 2022. "Natural gas resource utilization, environmental policy and green economic development: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    57. Li, Jianglong & Sun, Chuanwang, 2018. "Towards a low carbon economy by removing fossil fuel subsidies?," China Economic Review, Elsevier, vol. 50(C), pages 17-33.
    58. Yuan Li & Nan Huang & Yang Zhao, 2022. "The Impact of Green Innovation on Enterprise Green Economic Efficiency," IJERPH, MDPI, vol. 19(24), pages 1-26, December.
    59. Zhu, Runqing & Lin, Boqiang, 2021. "Energy and carbon performance improvement in China's mining Industry:Evidence from the 11th and 12th five-year plan," Energy Policy, Elsevier, vol. 154(C).
    60. Wang, Chunhua & Cao, Xiaoyong & Mao, Jie & Qin, Ping, 2019. "The changes in coal intensity of electricity generation in Chinese coal-fired power plants," Energy Economics, Elsevier, vol. 80(C), pages 491-501.
    61. Chen, Bin & Jin, Yingmei, 2020. "Adjusting productivity measures for CO2 emissions control: Evidence from the provincial thermal power sector in China," Energy Economics, Elsevier, vol. 87(C).
    62. Lingzhi Ren & Ning Yi & Zhiying Li & Zhaoxian Su, 2023. "Research on the Impact of Energy Saving and Emission Reduction Policies on Carbon Emission Efficiency of the Yellow River Basin: A Perspective of Policy Collaboration Effect," Sustainability, MDPI, vol. 15(15), pages 1-17, August.
    63. Wang, Nannan & Chen, Ji & Yao, Shengnan & Chang, Yen-Chiang, 2018. "A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2606-2612.
    64. Yaqin Wang & Shengsheng Li & Yan Jiang, 2022. "Can Transportation Infrastructure Construction Improve the Urban Green Development Efficiency? Evidence from China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    65. Liu, Guangtian & Wang, Bing & Zhang, Ning, 2016. "A coin has two sides: Which one is driving China’s green TFP growth?," Economic Systems, Elsevier, vol. 40(3), pages 481-498.
    66. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.
    67. Sun, Chuanwang & Liu, Xiaohong & Li, Aijun, 2018. "Measuring unified efficiency of Chinese fossil fuel power plants: Intermediate approach combined with group heterogeneity and window analysis," Energy Policy, Elsevier, vol. 123(C), pages 8-18.
    68. Kiril Simeonovski & Tamara Kaftandzieva & Gregory Brock, 2021. "Energy Efficiency Management across EU Countries: A DEA Approach," Energies, MDPI, vol. 14(9), pages 1-19, May.
    69. Lin, Boqiang & Zhu, Junpeng, 2019. "Impact of energy saving and emission reduction policy on urban sustainable development: Empirical evidence from China," Applied Energy, Elsevier, vol. 239(C), pages 12-22.
    70. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
    71. Huang, Youxing & Xu, Qi & Zhao, Yanping, 2021. "Short-run pain, long-run gain: Desulfurization investment and productivity," Energy Economics, Elsevier, vol. 102(C).
    72. Sun, Chuanwang & Li, Zhi & Ma, Tiemeng & He, Runyong, 2019. "Carbon efficiency and international specialization position: Evidence from global value chain position index of manufacture," Energy Policy, Elsevier, vol. 128(C), pages 235-242.
    73. Zhang, Ning & Jiang, Xue-Feng, 2019. "The effect of environmental policy on Chinese firm's green productivity and shadow price: A metafrontier input distance function approach," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 129-136.
    74. Jin, Gang & Yu, Binbin & Shen, Kunrong, 2021. "Domestic trade and energy productivity in China: An inverted U-shaped relationship," Energy Economics, Elsevier, vol. 97(C).
    75. Xiangsheng Dou & Huanying Cui, 2017. "Low-carbon society creation and socio-economic structural transition in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(5), pages 1577-1599, October.
    76. Wei Wang & Hualin Xie & Tong Jiang & Daobei Zhang & Xue Xie, 2016. "Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index," Sustainability, MDPI, vol. 8(4), pages 1-19, April.
    77. Xie, Hualin & Wang, Wei & Yang, Zihui & Choi, Yongrok, 2016. "Measuring the sustainable performance of industrial land utilization in major industrial zones of China," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 207-219.
    78. Tao Xu & Jianxin You & Hui Li & Luning Shao, 2020. "Energy Efficiency Evaluation Based on Data Envelopment Analysis: A Literature Review," Energies, MDPI, vol. 13(14), pages 1-20, July.
    79. Ding, Jian & Liu, Baoliu & Shao, Xuefeng, 2022. "Spatial effects of industrial synergistic agglomeration and regional green development efficiency: Evidence from China," Energy Economics, Elsevier, vol. 112(C).
    80. Nie, Yongyou & Cheng, Dandan & Liu, Kui, 2020. "The effectiveness of environmental authoritarianism: Evidence from China's administrative inquiry for environmental protection," Energy Economics, Elsevier, vol. 88(C).
    81. Nakaishi, Tomoaki & Takayabu, Hirotaka & Eguchi, Shogo, 2021. "Environmental efficiency analysis of China's coal-fired power plants considering heterogeneity in power generation company groups," Energy Economics, Elsevier, vol. 102(C).
    82. Li, Mingquan & Patiño-Echeverri, Dalia, 2017. "Estimating benefits and costs of policies proposed in the 13th FYP to improve energy efficiency and reduce air emissions of China's electric power sector," Energy Policy, Elsevier, vol. 111(C), pages 222-234.
    83. Xiongfeng Pan & Jing Zhang & Changyu Li & Rong Quan & Bin Li, 2018. "Exploring Dynamic Impact of Foreign Direct Investment on China’s CO $$_{2}$$ 2 Emissions Using Markov-Switching Vector Error Correction Model," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1139-1151, December.
    84. Zhang, Ning & Huang, Xuhui & Qi, Chao, 2022. "The effect of environmental regulation on the marginal abatement cost of industrial firms: Evidence from the 11th Five-Year Plan in China," Energy Economics, Elsevier, vol. 112(C).
    85. Wang, H. & Zhou, P. & Wang, Qunwei, 2016. "Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach," Energy, Elsevier, vol. 101(C), pages 218-228.
    86. Nakaishi, Tomoaki, 2021. "Developing effective CO2 and SO2 mitigation strategy based on marginal abatement costs of coal-fired power plants in China," Applied Energy, Elsevier, vol. 294(C).
    87. Wang, Ailun & Hu, Shuo & Li, Jianglong, 2021. "Does economic development help achieve the goals of environmental regulation? Evidence from partially linear functional-coefficient model," Energy Economics, Elsevier, vol. 103(C).
    88. Liu, Hongxun & Li, Jianglong & Long, Houyin & Li, Zhi & Le, Canyu, 2018. "Promoting energy and environmental efficiency within a positive feedback loop: Insights from global value chain," Energy Policy, Elsevier, vol. 121(C), pages 175-184.
    89. Zebin Zheng & Wenjun Xiao & Ziye Cheng, 2023. "China’s Green Total Factor Energy Efficiency Assessment Based on Coordinated Reduction in Pollution and Carbon Emission: From the 11th to the 13th Five-Year Plan," Sustainability, MDPI, vol. 15(9), pages 1-20, April.

  90. Zhang, Mingming & Zhou, Dequn & Zhou, Peng, 2014. "A real option model for renewable energy policy evaluation with application to solar PV power generation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 944-955.

    Cited by:

    1. Assereto, Martina & Byrne, Julie, 2021. "No real option for solar in Ireland: A real option valuation of utility scale solar investment in Ireland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    2. Xiong, Yongqing & Yang, Xiaohan, 2016. "Government subsidies for the Chinese photovoltaic industry," Energy Policy, Elsevier, vol. 99(C), pages 111-119.
    3. Pérez Odeh, Rodrigo & Watts, David & Negrete-Pincetic, Matías, 2018. "Portfolio applications in electricity markets review: Private investor and manager perspective trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 192-204.
    4. Cheng, Cheng & Wang, Zhen & Liu, Mingming & Chen, Qiang & Gbatu, Abimelech Paye & Ren, Xiaohang, 2017. "Defer option valuation and optimal investment timing of solar photovoltaic projects under different electricity market systems and support schemes," Energy, Elsevier, vol. 127(C), pages 594-610.
    5. Gazheli, Ardjan & van den Bergh, Jeroen, 2018. "Real options analysis of investment in solar vs. wind energy: Diversification strategies under uncertain prices and costs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2693-2704.
    6. Abbas Mardani & Ahmad Jusoh & Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Zainab Khalifah, 2015. "Sustainable and Renewable Energy: An Overview of the Application of Multiple Criteria Decision Making Techniques and Approaches," Sustainability, MDPI, vol. 7(10), pages 1-38, October.
    7. Dania Ortiz & Vítor Leal, 2020. "Energy Policy Concerns, Objectives and Indicators: A Review towards a Framework for Effectiveness Assessment," Energies, MDPI, vol. 13(24), pages 1-26, December.
    8. Sim, Jaehun & Kim, Chae-Soo, 2019. "The value of renewable energy research and development investments with default consideration," Renewable Energy, Elsevier, vol. 143(C), pages 530-539.
    9. Zhang, M.M. & Zhou, P. & Zhou, D.Q., 2016. "A real options model for renewable energy investment with application to solar photovoltaic power generation in China," Energy Economics, Elsevier, vol. 59(C), pages 213-226.
    10. Zhang, Dayong & Cao, Hong & Zou, Peijiang, 2016. "Exuberance in China's renewable energy investment: Rationality, capital structure and implications with firm level evidence," Energy Policy, Elsevier, vol. 95(C), pages 468-478.
    11. Pringles, Rolando & Olsina, Fernando & Penizzotto, Franco, 2020. "Valuation of defer and relocation options in photovoltaic generation investments by a stochastic simulation-based method," Renewable Energy, Elsevier, vol. 151(C), pages 846-864.
    12. Yiqing Li & Weiguo Yang & Lixin Tian & Jie Yang, 2018. "An Evaluation of Investment in a PV Power Generation Project in the Gobi Desert Using a Real Options Model," Energies, MDPI, vol. 11(1), pages 1-16, January.
    13. Romano, Teresa & Fumagalli, Elena, 2018. "Greening the power generation sector: Understanding the role of uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 272-286.
    14. Mingming Zhang & Dequn Zhou & Hao Ding & Jingliang Jin, 2016. "Biomass Power Generation Investment in China: A Real Options Evaluation," Sustainability, MDPI, vol. 8(6), pages 1-22, June.
    15. Zhang, M.M. & Zhou, D.Q. & Zhou, P. & Chen, H.T., 2017. "Optimal design of subsidy to stimulate renewable energy investments: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 873-883.
    16. Kim, Byungil & Kim, Changyoon & Han, SangUk & Bae, JuHyun & Jung, Jaehoon, 2020. "Is it a good time to develop commercial photovoltaic systems on farmland? An American-style option with crop price risk," Renewable and Sustainable Energy Reviews, Elsevier, vol. 125(C).
    17. Fan, Jing-Li & Xu, Mao & Yang, Lin & Zhang, Xian, 2019. "Benefit evaluation of investment in CCS retrofitting of coal-fired power plants and PV power plants in China based on real options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    18. Gan, Peck Yean & Li, ZhiDong, 2015. "Quantitative study on long term global solar photovoltaic market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 88-99.
    19. Zhang, M.M. & Wang, Qunwei & Zhou, Dequn & Ding, H., 2019. "Evaluating uncertain investment decisions in low-carbon transition toward renewable energy," Applied Energy, Elsevier, vol. 240(C), pages 1049-1060.
    20. Tian, Lixin & Pan, Jianglai & Du, Ruijin & Li, Wenchao & Zhen, Zaili & Qibing, Gao, 2017. "The valuation of photovoltaic power generation under carbon market linkage based on real options," Applied Energy, Elsevier, vol. 201(C), pages 354-362.
    21. Yujie Lu & Fangxin Yi & Shaocong Yu & Yangtian Feng & Yujuan Wang, 2022. "Pathways to Sustainable Deployment of Solar Photovoltaic Policies in 20 Leading Countries Using a Qualitative Comparative Analysis," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    22. Zhang, Sufang & Chen, Yang & Liu, Xiaoli & Yang, Mengshi & Xu, Liang, 2017. "Employment effects of solar PV industry in China: A spreadsheet-based analytical model," Energy Policy, Elsevier, vol. 109(C), pages 59-65.
    23. Kozlova, Mariia, 2017. "Real option valuation in renewable energy literature: Research focus, trends and design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 180-196.
    24. Ruyin Long & Wenhua Cui & Qianwen Li, 2017. "The Evolution and Effect Evaluation of Photovoltaic Industry Policy in China," Sustainability, MDPI, vol. 9(12), pages 1-40, November.
    25. Weidong Chen & Yujie Bi, 2018. "Electricity price subsidy or carbon-trading subsidy: which is more efficient to develop photovoltaic power generation from a government perspective?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(5), pages 667-683, June.
    26. Jiangang Shi & Kaifeng Duan & Shiping Wen & Rui Zhang, 2019. "Investment Valuation Model of Public Rental Housing PPP Project for Private Sector: A Real Option Perspective," Sustainability, MDPI, vol. 11(7), pages 1-18, March.
    27. Ryan, Lisa & Dillon, Joseph & Monaca, Sarah La & Byrne, Julie & O'Malley, Mark, 2016. "Assessing the system and investor value of utility-scale solar PV," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 506-517.
    28. Cheng, Cheng & Dong, Kangyin & Wang, Zhen & Liu, Shulin & Jurasz, Jakub & Zhang, Haoran, 2023. "Rethinking the evaluation of solar photovoltaic projects under YieldCo mode: A real option perspective," Applied Energy, Elsevier, vol. 336(C).
    29. Yu, Shiwei & Li, Zhenxi & Wei, Yi-Ming & Liu, Lancui, 2019. "A real option model for geothermal heating investment decision making: Considering carbon trading and resource taxes," Energy, Elsevier, vol. 189(C).
    30. Li, Longxi & Cao, Xilin, 2022. "Comprehensive effectiveness assessment of energy storage incentive mechanisms for PV-ESS projects based on compound real options," Energy, Elsevier, vol. 239(PA).
    31. Jingyu Qu & Wooyoung Jeon, 2022. "Price and subsidy under uncertainty: Real-option approach to optimal investment decisions on energy storage with solar PV," Energy & Environment, , vol. 33(2), pages 263-282, March.
    32. Maeda, Mansaku & Watts, David, 2019. "The unnoticed impact of long-term cost information on wind farms’ economic value in the USA. – A real option analysis," Applied Energy, Elsevier, vol. 241(C), pages 540-547.
    33. Martín-Barrera, Gonzalo & Zamora-Ramírez, Constancio & González-González, José M., 2016. "Application of real options valuation for analysing the impact of public R&D financing on renewable energy projects: A company′s perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 292-301.
    34. Yu, Zhiqiang & Ma, Wenhui & Xie, Keqiang & Lv, Guoqiang & Chen, Zhengjie & Wu, Jijun & Yu, Jie, 2017. "Life cycle assessment of grid-connected power generation from metallurgical route multi-crystalline silicon photovoltaic system in China," Applied Energy, Elsevier, vol. 185(P1), pages 68-81.
    35. Naielly Lopes Marques & Carlos de Lamare Bastian-Pinto & Luiz Eduardo Teixeira Brandão, 2021. "A Tutorial for Modeling Real Options Lattices from Project Cash Flows," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 25(1), pages 200093-2000.
    36. Loncar, Dragan & Milovanovic, Ivan & Rakic, Biljana & Radjenovic, Tamara, 2017. "Compound real options valuation of renewable energy projects: The case of a wind farm in Serbia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 354-367.
    37. Zhang, M.M. & Zhou, D.Q. & Zhou, P. & Liu, G.Q., 2016. "Optimal feed-in tariff for solar photovoltaic power generation in China: A real options analysis," Energy Policy, Elsevier, vol. 97(C), pages 181-192.
    38. Zhang, Mingming & Liu, Liyun & Wang, Qunwei & Zhou, Dequn, 2020. "Valuing investment decisions of renewable energy projects considering changing volatility," Energy Economics, Elsevier, vol. 92(C).
    39. Firozjaei, Hamzeh Karimi & Firozjaei, Mohammad Karimi & Nematollahi, Omid & Kiavarz, Majid & Alavipanah, Seyed Kazem, 2020. "On the effect of geographical, topographic and climatic conditions on feed-in tariff optimization for solar photovoltaic electricity generation: A case study in Iran," Renewable Energy, Elsevier, vol. 153(C), pages 430-439.
    40. Mo, Jian-Lei & Agnolucci, Paolo & Jiang, Mao-Rong & Fan, Ying, 2016. "The impact of Chinese carbon emission trading scheme (ETS) on low carbon energy (LCE) investment," Energy Policy, Elsevier, vol. 89(C), pages 271-283.
    41. Zhang, Libo & Chen, Changqi & Wang, Qunwei & Zhou, Dequn, 2021. "The impact of feed-in tariff reduction and renewable portfolio standard on the development of distributed photovoltaic generation in China," Energy, Elsevier, vol. 232(C).
    42. Moon, Yongma & Baran, Mesut, 2018. "Economic analysis of a residential PV system from the timing perspective: A real option model," Renewable Energy, Elsevier, vol. 125(C), pages 783-795.
    43. Liu, Xiaoran & Ronn, Ehud I., 2020. "Using the binomial model for the valuation of real options in computing optimal subsidies for Chinese renewable energy investments," Energy Economics, Elsevier, vol. 87(C).
    44. Martín-Barrera, Gonzalo & Zamora-Ramírez, Constancio & González-González, José M., 2017. "Impact of flexibility in public R&D funding: How real options could avoid the crowding-out effect," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 813-823.

  91. Jin, Jingliang & Zhou, Dequn & Zhou, Peng & Miao, Zhuang, 2014. "Environmental/economic power dispatch with wind power," Renewable Energy, Elsevier, vol. 71(C), pages 234-242.

    Cited by:

    1. Ismail Marouani & Tawfik Guesmi & Hsan Hadj Abdallah & Badr M. Alshammari & Khalid Alqunun & Ahmed S. Alshammari & Salem Rahmani, 2022. "Combined Economic Emission Dispatch with and without Consideration of PV and Wind Energy by Using Various Optimization Techniques: A Review," Energies, MDPI, vol. 15(12), pages 1-35, June.
    2. Kheshti, Mostafa & Ding, Lei & Ma, Shicong & Zhao, Bing, 2018. "Double weighted particle swarm optimization to non-convex wind penetrated emission/economic dispatch and multiple fuel option systems," Renewable Energy, Elsevier, vol. 125(C), pages 1021-1037.
    3. Qiao, Baihao & Liu, Jing, 2020. "Multi-objective dynamic economic emission dispatch based on electric vehicles and wind power integrated system using differential evolution algorithm," Renewable Energy, Elsevier, vol. 154(C), pages 316-336.
    4. Jin, Jingliang & Zhou, Peng & Li, Chenyu & Bai, Yang & Wen, Qinglan, 2020. "Optimization of power dispatching strategies integrating management attitudes with low carbon factors," Renewable Energy, Elsevier, vol. 155(C), pages 555-568.
    5. Motaeb Eid Alshammari & Makbul A. M. Ramli & Ibrahim M. Mehedi, 2021. "A New Chaotic Artificial Bee Colony for the Risk-Constrained Economic Emission Dispatch Problem Incorporating Wind Power," Energies, MDPI, vol. 14(13), pages 1-24, July.
    6. Jin, Jingliang & Zhou, Peng & Li, Chenyu & Guo, Xiaojun & Zhang, Mingming, 2019. "Low-carbon power dispatch with wind power based on carbon trading mechanism," Energy, Elsevier, vol. 170(C), pages 250-260.
    7. Wei, Wei & Liu, Feng & Wang, Jianhui & Chen, Laijun & Mei, Shengwei & Yuan, Tiejiang, 2016. "Robust environmental-economic dispatch incorporating wind power generation and carbon capture plants," Applied Energy, Elsevier, vol. 183(C), pages 674-684.
    8. Xiuyun Wang & Junyu Tian & Rutian Wang & Jiakai Xu & Shaoxin Chen & Jian Wang & Yang Cui, 2018. "Multi-Objective Economic Dispatch of Cogeneration Unit with Heat Storage Based on Fuzzy Chance Constraint," Energies, MDPI, vol. 12(1), pages 1-18, December.
    9. Jingliang Jin & Qinglan Wen & Xianyue Zhang & Siqi Cheng & Xiaojun Guo, 2021. "Economic Emission Dispatch for Wind Power Integrated System with Carbon Trading Mechanism," Energies, MDPI, vol. 14(7), pages 1-17, March.
    10. Jin, Jingliang & Zhou, Dequn & Zhou, Peng & Qian, Shuqu & Zhang, Mingming, 2016. "Dispatching strategies for coordinating environmental awareness and risk perception in wind power integrated system," Energy, Elsevier, vol. 106(C), pages 453-463.
    11. Li Yan & Zhengyu Zhu & Xiaopeng Kang & Boyang Qu & Baihao Qiao & Jiajia Huan & Xuzhao Chai, 2022. "Multi-Objective Dynamic Economic Emission Dispatch with Electric Vehicle–Wind Power Interaction Based on a Self-Adaptive Multiple-Learning Harmony-Search Algorithm," Energies, MDPI, vol. 15(14), pages 1-22, July.
    12. Jin, Jingliang & Zhou, Peng & Zhang, Mingming & Yu, Xianyu & Din, Hao, 2018. "Balancing low-carbon power dispatching strategy for wind power integrated system," Energy, Elsevier, vol. 149(C), pages 914-924.
    13. Jin, Jingliang & Wen, Qinglan & Cheng, Siqi & Qiu, Yaru & Zhang, Xianyue & Guo, Xiaojun, 2022. "Optimization of carbon emission reduction paths in the low-carbon power dispatching process," Renewable Energy, Elsevier, vol. 188(C), pages 425-436.
    14. Motaeb Eid Alshammari & Makbul A. M. Ramli & Ibrahim M. Mehedi, 2022. "Hybrid Chaotic Maps-Based Artificial Bee Colony for Solving Wind Energy-Integrated Power Dispatch Problem," Energies, MDPI, vol. 15(13), pages 1-26, June.
    15. Dinu Calin Secui & Cristina Hora & Codruta Bendea & Monica Liana Secui & Gabriel Bendea & Florin Ciprian Dan, 2024. "Modified Social Group Optimization to Solve the Problem of Economic Emission Dispatch with the Incorporation of Wind Power," Sustainability, MDPI, vol. 16(1), pages 1-35, January.
    16. Dubey, Hari Mohan & Pandit, Manjaree & Panigrahi, B.K., 2015. "Hybrid flower pollination algorithm with time-varying fuzzy selection mechanism for wind integrated multi-objective dynamic economic dispatch," Renewable Energy, Elsevier, vol. 83(C), pages 188-202.

  92. Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.

    Cited by:

    1. Zhou, Yi & Zhou, Wenji & Wei, Chu, 2023. "Environmental performance of the Chinese cement enterprise: An empirical analysis using a text-based directional vector," Energy Economics, Elsevier, vol. 125(C).
    2. Zhao, Yu & Zhong, Honglin & Kong, Fanbin & Zhang, Ning, 2023. "Can China achieve carbon neutrality without power shortage? A substitutability perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    3. Liu, Haiying & Owens, Katharine A. & Yang, Ke & Zhang, Chunhong, 2020. "Pollution abatement costs and technical changes under different environmental regulations," China Economic Review, Elsevier, vol. 62(C).
    4. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    5. Xiang Ji & Jie Wu & Qingyuan Zhu & Jiasen Sun, 2019. "Using a hybrid heterogeneous DEA method to benchmark China’s sustainable urbanization: an empirical study," Annals of Operations Research, Springer, vol. 278(1), pages 281-335, July.
    6. Luis Antonio Galiano Bastarrica & Eva M. Buitrago Esquinas & María Ángeles Caraballo Pou & Rocío Yñiguez Ovando, 2023. "Environmental adjustment of the EU27 GDP: an econometric quantitative model," Environment Systems and Decisions, Springer, vol. 43(1), pages 115-128, March.
    7. Lu, Shibao & Wang, Jianhua & Shang, Yizi & Bao, Haijun & Chen, Huixiong, 2017. "Potential assessment of optimizing energy structure in the city of carbon intensity target," Applied Energy, Elsevier, vol. 194(C), pages 765-773.
    8. Ouyang, Xiaoling & Sun, Chuanwang, 2015. "Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency," Energy Economics, Elsevier, vol. 48(C), pages 117-126.
    9. Sugathan, Anish & Bhangale, Ritesh & Kansal, Vishal & Hulke, Unmil, 2018. "How can Indian power plants cost-effectively meet the new sulfur emission standards? Policy evaluation using marginal abatement cost-curves," Energy Policy, Elsevier, vol. 121(C), pages 124-137.
    10. Qunli Wu & Shuting Gu, 2021. "Exploring the focus of future CO2 emission reduction in China's industrial sectors," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 11(4), pages 682-696, August.
    11. Rakesh Kumar Jain & Surender Kumar, 2018. "Shadow price of CO2 emissions in Indian thermal power sector," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(4), pages 879-902, October.
    12. Wang, Jian & Lv, Kangjuan & Bian, Yiwen & Cheng, Yu, 2017. "Energy efficiency and marginal carbon dioxide emission abatement cost in urban China," Energy Policy, Elsevier, vol. 105(C), pages 246-255.
    13. Rødseth, Kenneth Løvold, 2023. "Shadow pricing of electricity generation using stochastic and deterministic materials balance models," Applied Energy, Elsevier, vol. 341(C).
    14. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    15. Alexandros Maziotis & María Molinos-Senante & Ramon Sala-Garrido, 2017. "Assesing the Impact of Quality of Service on the Productivity of Water Industry: a Malmquist-Luenberger Approach for England and Wales," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(8), pages 2407-2427, June.
    16. He, Weijun & Yang, Yi & Wang, Zhaohua & Zhu, Joe, 2018. "Estimation and allocation of cost savings from collaborative CO2 abatement in China," Energy Economics, Elsevier, vol. 72(C), pages 62-74.
    17. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.
    18. Marc Baudry & Anouk Faure, 2021. "Technological Progress and Carbon Price Formation: an Analysis of EU-ETS Plants," Working Papers 2021.10, FAERE - French Association of Environmental and Resource Economists.
    19. Shen, Zhiyang & Boussemart, Jean-Philippe & Leleu, Hervé, 2017. "Aggregate green productivity growth in OECD’s countries," International Journal of Production Economics, Elsevier, vol. 189(C), pages 30-39.
    20. Wei, Xiao & Zhang, Ning, 2020. "The shadow prices of CO2 and SO2 for Chinese Coal-fired Power Plants: A partial frontier approach," Energy Economics, Elsevier, vol. 85(C).
    21. Yunfei An & Xunpeng Shi & Qunwei Wang & Jian Yu & Dequn Zhou & Xiaoyong Zhou, 2023. "China's manufacturing firms' willingness to pay for carbon abatement: A cost perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5477-5486, December.
    22. Cui, Lixin & Dong, Ruxue & Mu, Yunguo & Shen, Zhiyang & Xu, Jiatong, 2022. "How policy preferences affect the carbon shadow price in the OECD," Applied Energy, Elsevier, vol. 311(C).
    23. Aparajita Singh & Haripriya Gundimeda, 2021. "Measuring technical efficiency and shadow price of water pollutants for the leather industry in India: a directional distance function approach," Journal of Regulatory Economics, Springer, vol. 59(1), pages 71-93, February.
    24. Shirong Zhao & Guangshun Qiao, 2022. "The shadow prices of CO2, SO2 and NOx for U.S. coal power industry 2010–2017: a convex quantile regression method," Journal of Productivity Analysis, Springer, vol. 57(3), pages 243-253, June.
    25. Cui, Lian-Biao & Fan, Ying & Zhu, Lei & Bi, Qing-Hua, 2014. "How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target?," Applied Energy, Elsevier, vol. 136(C), pages 1043-1052.
    26. Arjan Trinks & Erik Hille, 2023. "Carbon costs and industrial firm performance: Evidence from international microdata," CPB Discussion Paper 445, CPB Netherlands Bureau for Economic Policy Analysis.
    27. Molinos-Senante, María & Villegas, Andres & Maziotis, Alexandros, 2019. "Are water tariffs sufficient incentives to reduce water leakages? An empirical approach for Chile," Utilities Policy, Elsevier, vol. 61(C).
    28. Shixiong Cheng & Wei Liu & Kai Lu, 2018. "Economic Growth Effect and Optimal Carbon Emissions under China’s Carbon Emissions Reduction Policy: A Time Substitution DEA Approach," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    29. Chen, Zhenling & Yuan, Xiao-Chen & Zhang, Xiaoling & Cao, Yunfei, 2020. "How will the Chinese national carbon emissions trading scheme work? The assessment of regional potential gains," Energy Policy, Elsevier, vol. 137(C).
    30. Cui, Qiang & Wei, Yi-Ming & Li, Ye, 2016. "Exploring the impacts of the EU ETS emission limits on airline performance via the Dynamic Environmental DEA approach," Applied Energy, Elsevier, vol. 183(C), pages 984-994.
    31. A. Bellver-Domingo & F. Hernández-Sancho, 2018. "Environmental Benefit of Improving Wastewater Quality: A Shadow Prices Approach for Sensitive Areas," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 4(02), pages 1-15, April.
    32. Ekaterina Nikitina, 2019. "Opportunity Cost of Environmental Conservation in the Presence of Externalities: Application to the Farmed and Wild Salmon Trade-Off in Norway," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(2), pages 679-696, June.
    33. Xueping Tao & Ping Wang & Bangzhu Zhu, 2016. "Measuring the Interprovincial CO 2 Emissions Considering Electric Power Dispatching in China: From Production and Consumption Perspectives," Sustainability, MDPI, vol. 8(6), pages 1-12, May.
    34. Wu, Yinyin & Wang, Ping & Liu, Xin & Chen, Jiandong & Song, Malin, 2020. "Analysis of regional carbon allocation and carbon trading based on net primary productivity in China," China Economic Review, Elsevier, vol. 60(C).
    35. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Energy and Environmental Efficiency in Different Chinese Regions," Sustainability, MDPI, vol. 11(4), pages 1-26, February.
    36. Fang, Lei, 2020. "Opening the “black box” of environmental production technology in a nonparametric analysis," European Journal of Operational Research, Elsevier, vol. 286(2), pages 769-780.
    37. Yu, Anyu & You, Jianxin & Rudkin, Simon & Zhang, Hao, 2019. "Industrial carbon abatement allocations and regional collaboration: Re-evaluating China through a modified data envelopment analysis," Applied Energy, Elsevier, vol. 233, pages 232-243.
    38. Adenuga, A. & Davis, J. & Hutchinson, G. & Donnellan, T. & Patton, M., 2018. "Valuing Agricultural Externalities: Nitrogen Surplus in the Dairy Sector on the Island of Ireland," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277434, International Association of Agricultural Economists.
    39. Surender Kumar & Rakesh Kumar Jain, 2020. "Cost of CO2 Emission Mitigation and its Decomposition: Evidence from Coal-fired Thermal Power Sector in India," Working papers 306, Centre for Development Economics, Delhi School of Economics.
    40. Silva, Elvira & Magalhães, Manuela, 2023. "Environmental efficiency, irreversibility and the shadow price of emissions," European Journal of Operational Research, Elsevier, vol. 306(2), pages 955-967.
    41. Silva, Felipe & Fulginiti, Lilyan E. & Perrin, Richard K., 2016. "Did technical change in agricultural production decrease the emission of pollutants on the Amazon Forest during 1990-2009?," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230092, Southern Agricultural Economics Association.
    42. Shirong Zhao, 2020. "Shadow Prices of Non-performing Loans for Chinese Banks in the Post-Crisis Era," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(6), pages 1-8.
    43. Wu, F. & Wang, S.Y. & Zhou, P., 2023. "Marginal abatement cost of carbon dioxide emissions: The role of abatement options," European Journal of Operational Research, Elsevier, vol. 310(2), pages 891-901.
    44. Jayanath Ananda & Dong-hyun Oh, 2023. "Assessing environmentally sensitive productivity growth: incorporating externalities and heterogeneity into water sector evaluations," Journal of Productivity Analysis, Springer, vol. 59(1), pages 45-60, February.
    45. Førsund, Finn R., 2018. "Economic interpretations of DEA," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 9-15.
    46. Hai-Ying Gu & Qing-Mi Hu & Tian-Qiong Wang, 2019. "Payment for Rice Growers to Reduce Using N Fertilizer in the GHG Mitigation Program Driven by the Government: Evidence from Shanghai," Sustainability, MDPI, vol. 11(7), pages 1-17, April.
    47. Boussemart, Jean Philippe & Leleu, Hervé & Shen, Zhiyang, 2015. "Environmental growth convergence among Chinese regions," China Economic Review, Elsevier, vol. 34(C), pages 1-18.
    48. Dai, Sheng & Zhou, Xun & Kuosmanen, Timo, 2020. "Forward-looking assessment of the GHG abatement cost: Application to China," Energy Economics, Elsevier, vol. 88(C).
    49. Wen Guo & Tao Sun & Hongjun Dai, 2017. "Efficiency Allocation of Provincial Carbon Reduction Target in China’s “13·5” Period: Based on Zero-Sum-Gains SBM Model," Sustainability, MDPI, vol. 9(2), pages 1-18, January.
    50. Du, Limin & Mao, Jie, 2015. "Estimating the environmental efficiency and marginal CO2 abatement cost of coal-fired power plants in China," Energy Policy, Elsevier, vol. 85(C), pages 347-356.
    51. Zdenka ZAKOVA KROUPOVA & Lukas CECHURA & Michaela HAVLIKOVA & Pavlina HALOVA & Michal MALY, 2018. "Shadow prices of greenhouse gas emissions: An application to the Czech dairy production," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(7), pages 291-300.
    52. Lee, Sang-choon & Oh, Dong-hyun & Lee, Jeong-dong, 2014. "A new approach to measuring shadow price: Reconciling engineering and economic perspectives," Energy Economics, Elsevier, vol. 46(C), pages 66-77.
    53. Shen, Zhiyang & Bai, Kaixuan & Hong, Tianyang & Balezentis, Tomas, 2021. "Evaluation of carbon shadow price within a non-parametric meta-frontier framework: The case of OECD, ASEAN and BRICS," Applied Energy, Elsevier, vol. 299(C).
    54. Guohua Feng & Chuan Wang & Apostolos Serletis, 2018. "Shadow prices of $$\hbox {CO}_{2}$$ CO 2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach," Empirical Economics, Springer, vol. 54(1), pages 231-258, February.
    55. Letmathe, Peter & Wagner, Sandra, 2018. "“Messy” marginal costs: Internal pricing of environmental aspects on the firm level," International Journal of Production Economics, Elsevier, vol. 201(C), pages 41-52.
    56. Xian, Yujiao & Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2019. "Would China’s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," Applied Energy, Elsevier, vol. 235(C), pages 978-986.
    57. Wang, Zhaohua & Song, Yanwu & Shen, Zhiyang, 2022. "Global sustainability of carbon shadow pricing: The distance between observed and optimal abatement costs," Energy Economics, Elsevier, vol. 110(C).
    58. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis," Energy Economics, Elsevier, vol. 48(C), pages 217-229.
    59. Duan, Na & Guo, Jun-Peng & Xie, Bai-Chen, 2016. "Is there a difference between the energy and CO2 emission performance for China’s thermal power industry? A bootstrapped directional distance function approach," Applied Energy, Elsevier, vol. 162(C), pages 1552-1563.
    60. Shixiong Cheng & Jiahui Xie & De Xiao & Yun Zhang, 2019. "Measuring the Environmental Efficiency and Technology Gap of PM 2.5 in China’s Ten City Groups: An Empirical Analysis Using the EBM Meta-Frontier Model," IJERPH, MDPI, vol. 16(4), pages 1-22, February.
    61. Zhou, X. & Fan, L.W. & Zhou, P., 2015. "Marginal CO2 abatement costs: Findings from alternative shadow price estimates for Shanghai industrial sectors," Energy Policy, Elsevier, vol. 77(C), pages 109-117.
    62. Xiaran Zhang & Xiaoxia Rong & Meng Cai & Qingchun Meng, 2019. "Collaborative Optimization of Emissions and Abatement Costs for Air Pollutants and Greenhouse Gases from the Perspective of Energy Structure: An Empirical Analysis in Tianjin," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    63. Zhencheng Xing & Jigan Wang & Jie Zhang, 2017. "CO 2 Emission Performance, Mitigation Potential, and Marginal Abatement Cost of Industries Covered in China’s Nationwide Emission Trading Scheme: A Meta-Frontier Analysis," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    64. Biagia De Devitiis & Ornella Wanda Maietta, 2015. "Shadow Prices of Human Capital in Agriculture. Evidence from European FADN Regions," CSEF Working Papers 415, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    65. Zhou, Mingquan & Yang, Yang, 2022. "Shadow price of equity and political connectedness: A study of Chinese commercial banks," International Review of Financial Analysis, Elsevier, vol. 83(C).
    66. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    67. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations," Energy Policy, Elsevier, vol. 108(C), pages 163-177.
    68. Zhiyang Shen & Jean-Philippe Boussemart & Hervé Leleu, 2016. "Worldwide carbon shadow prices during 1990–2011," Working Papers 2016-EQM-04, IESEG School of Management.
    69. Bei Gao & Zuoren Sun, 2023. "Marginal CO 2 and SO 2 Abatement Costs and Determinants of Coal-Fired Power Plants in China: Considering a Two-Stage Production System with Different Emission Reduction Approaches," Energies, MDPI, vol. 16(8), pages 1-26, April.
    70. Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
    71. Wu, Yinyin & Yu, Jie & Song, Malin & Chen, Jiandong & Hou, Wenxuan, 2021. "Shadow prices of industrial air pollutant emissions in China," Economic Modelling, Elsevier, vol. 94(C), pages 726-736.
    72. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    73. Rødseth, Kenneth Løvold, 2023. "Noise pollution of container handling: External and abatement costs and environmental efficiency," Transport Policy, Elsevier, vol. 134(C), pages 82-93.
    74. Chen, Bin & Jin, Yingmei, 2020. "Adjusting productivity measures for CO2 emissions control: Evidence from the provincial thermal power sector in China," Energy Economics, Elsevier, vol. 87(C).
    75. Zeng, Shihong & Jiang, Xue & Su, Bin & Nan, Xin, 2018. "China's SO2 shadow prices and environmental technical efficiency at the province level," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 86-102.
    76. Liu, Guangtian & Wang, Bing & Zhang, Ning, 2016. "A coin has two sides: Which one is driving China’s green TFP growth?," Economic Systems, Elsevier, vol. 40(3), pages 481-498.
    77. Xu, Lan & Yang, Jun & Cheng, Jixin & Dong, Hanghang, 2022. "How has China's low-carbon city pilot policy influenced its CO2 abatement costs? Analysis from the perspective of the shadow price," Energy Economics, Elsevier, vol. 115(C).
    78. Malý, Michal & Žáková Kroupová, Zdeňka & Čechura, L. & Hálová, P. & Havlíková, M., 2016. "Identification and Valuation of Public Goods within the Vertical of Cattle Breeding," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 8(1), pages 1-14, March.
    79. Ji, D.J. & Zhou, P., 2020. "Marginal abatement cost, air pollution and economic growth: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 86(C).
    80. Quinn, Barry & Gallagher, Ronan & Kuosmanen, Timo, 2023. "Lurking in the shadows: The impact of CO2 emissions target setting on carbon pricing in the Kyoto agreement period," Energy Economics, Elsevier, vol. 118(C).
    81. Zhang, Ning & Huang, Xuhui & Liu, Yunxiao, 2021. "The cost of low-carbon transition for China's coal-fired power plants: A quantile frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    82. Asha Gunawardena, 2016. "Cost of Controlling Water Pollution and its Impact on Industrial Efficiency," Working Papers id:11537, eSocialSciences.
    83. Molinos-Senante, María & Guzmán, Catalina, 2018. "Reducing CO2 emissions from drinking water treatment plants: A shadow price approach," Applied Energy, Elsevier, vol. 210(C), pages 623-631.
    84. Yujiao Xian & Ke Wang & Yi-Ming Wei & Zhimin Huang, 2018. "Would China¡¯s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," CEEP-BIT Working Papers 121, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    85. Molinos-Senante, María & Hanley, Nick & Sala-Garrido, Ramón, 2015. "Measuring the CO2 shadow price for wastewater treatment: A directional distance function approach," Applied Energy, Elsevier, vol. 144(C), pages 241-249.
    86. Podinovski, Victor V., 2019. "Direct estimation of marginal characteristics of nonparametric production frontiers in the presence of undesirable outputs," European Journal of Operational Research, Elsevier, vol. 279(1), pages 258-276.
    87. Haiyan Deng & Ge Bai & Kristiaan Kerstens & Zhiyang Shen, 2023. "Comparing green productivity under convex and nonconvex technologies: Which is a robust approach consistent with energy structure?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(8), pages 4377-4394, December.
    88. Imane Bounadi & Khalil Allali & Aziz Fadlaoui & Mohammed Dehhaoui, 2023. "Water Pollution Abatement in Olive Oil Industry in Morocco: Cost Estimates and Policy Implications," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    89. Trinks, Arjan & Hille, Erik, 2023. "Carbon Costs and Industrial Firm Performance: Evidence from International Microdata," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277705, Verein für Socialpolitik / German Economic Association.
    90. Tang, Kai & Yang, Lin & Zhang, Jianwu, 2016. "Estimating the regional total factor efficiency and pollutants’ marginal abatement costs in China: A parametric approach," Applied Energy, Elsevier, vol. 184(C), pages 230-240.
    91. Bowen Xiao & Dongxiao Niu & Han Wu & Haichao Wang, 2017. "Marginal Abatement Cost of CO 2 in China Based on Directional Distance Function: An Industry Perspective," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    92. Quinn, Barry & Gallagher, Ronan & Kuosmanen, Timo, 2021. "Lurking in the Shadows: The Impact of Emissions Target Setting on Carbon Pricing and Environmental Efficiency," QBS Working Paper Series 2021/05, Queen's University Belfast, Queen's Business School.
    93. Lee, Chia-Yen & Zhou, Peng, 2015. "Directional shadow price estimation of CO2, SO2 and NOx in the United States coal power industry 1990–2010," Energy Economics, Elsevier, vol. 51(C), pages 493-502.
    94. Zhang, Ning & Huang, Xuhui & Qi, Chao, 2022. "The effect of environmental regulation on the marginal abatement cost of industrial firms: Evidence from the 11th Five-Year Plan in China," Energy Economics, Elsevier, vol. 112(C).
    95. Kuosmanen, Timo & Zhou, Xun, 2021. "Shadow prices and marginal abatement costs: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 289(2), pages 666-675.
    96. Tamaki, Tetsuya & Shin, Kong Joo & Nakamura, Hiroki & Fujii, Hidemichi & Managi, Shunsuke, 2018. "Shadow prices and production inefficiency of mineral resources," Economic Analysis and Policy, Elsevier, vol. 57(C), pages 111-121.
    97. Nakaishi, Tomoaki, 2021. "Developing effective CO2 and SO2 mitigation strategy based on marginal abatement costs of coal-fired power plants in China," Applied Energy, Elsevier, vol. 294(C).
    98. Xiang Ji & Jiasen Sun & Qunwei Wang & Qianqian Yuan, 2019. "Revealing Energy Over-Consumption and Pollutant Over-Emission Behind GDP: A New Multi-criteria Sustainable Measure," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1391-1421, December.
    99. Xiaoliang Guan & Junbiao Zhang & Xianrong Wu & Linlin Cheng, 2018. "The Shadow Prices of Carbon Emissions in China’s Planting Industry," Sustainability, MDPI, vol. 10(3), pages 1-12, March.
    100. Adewale Henry Adenuga & John Davis & George Hutchinson & Trevor Donnellan & Myles Patton, 2019. "Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1273-1298, November.
    101. Qingxian An & Xiangyang Tao & Bo Dai & Jinlin Li, 2020. "Modified Distance Friction Minimization Model with Undesirable Output: An Application to the Environmental Efficiency of China’s Regional Industry," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1047-1071, April.

  93. Hao Lv & Hao Ding & Dequn Zhou & Peng Zhou, 2014. "A Site Selection Model for a Straw-Based Power Generation Plant with CO 2 Emissions," Sustainability, MDPI, vol. 6(10), pages 1-16, October.

    Cited by:

    1. Wang, Zhanwu & Wang, Zhenfeng & Tahir, Nadeem & Wang, Heng & Li, Jin & Xu, Guangyin, 2020. "Study of synergetic development in straw power supply chain: Straw price and government subsidy as incentive," Energy Policy, Elsevier, vol. 146(C).
    2. Yongrok Choi & Ning Zhang, 2015. "Introduction to the Special Issue on “the Sustainable Asia Conference 2014”," Sustainability, MDPI, vol. 7(2), pages 1-8, February.
    3. Xiang Zhao & Xiaoya Ma & Kun Wang & Yuqing Long & Dongjie Zhang & Zhanchun Xiao, 2017. "A Spatially Explicit Optimization Model for Agricultural Straw-Based Power Plant Site Selection: A Case Study in Hubei Province, China," Sustainability, MDPI, vol. 9(5), pages 1-19, May.
    4. Xu, Jiuping & Song, Xiaoling & Wu, Yimin & Zeng, Ziqiang, 2015. "GIS-modelling based coal-fired power plant site identification and selection," Applied Energy, Elsevier, vol. 159(C), pages 520-539.
    5. Zhanwu Wang & Guangyin Xu & Zhenfeng Wang & Zhiping Zhang, 2022. "Sustainability of agricultural waste power generation industry in China: criteria relationship identification and policy design mechanism," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3371-3395, March.
    6. Song, Xiaoling & Xu, Jiuping & Zhang, Zhe & Shen, Charles & Xie, Heping & Peña-Mora, Feniosky & Wu, Yimin, 2017. "Reconciling strategy towards construction site selection-layout for coal-fired power plants," Applied Energy, Elsevier, vol. 204(C), pages 846-865.
    7. Ramamurthi, Pooja Vijay & Fernandes, Maria Cristina & Nielsen, Per Sieverts & Nunes, Clemente Pedro, 2016. "Utilisation of rice residues for decentralised electricity generation in Ghana: An economic analysis," Energy, Elsevier, vol. 111(C), pages 620-629.

  94. Zhang, Ling & Zhou, De-Qun & Zhou, Peng & Chen, Qi-Ting, 2014. "Modelling policy decision of sustainable energy strategies for Nanjing city: A fuzzy integral approach," Renewable Energy, Elsevier, vol. 62(C), pages 197-203.

    Cited by:

    1. Abaei, Mohammad Mahdi & Arzaghi, Ehsan & Abbassi, Rouzbeh & Garaniya, Vikram & Penesis, Irene, 2017. "Developing a novel risk-based methodology for multi-criteria decision making in marine renewable energy applications," Renewable Energy, Elsevier, vol. 102(PB), pages 341-348.
    2. Ishizaka, Alessio & Siraj, Sajid & Nemery, Philippe, 2016. "Which energy mix for the UK (United Kingdom)? An evolutive descriptive mapping with the integrated GAIA (graphical analysis for interactive aid)–AHP (analytic hierarchy process) visualization tool," Energy, Elsevier, vol. 95(C), pages 602-611.
    3. Rosso-Cerón, A.M. & Kafarov, V. & Latorre-Bayona, G. & Quijano-Hurtado, R., 2019. "A novel hybrid approach based on fuzzy multi-criteria decision-making tools for assessing sustainable alternatives of power generation in San Andrés Island," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 159-173.
    4. Fernández González, P. & Presno, M.J. & Landajo, M., 2015. "Regional and sectoral attribution to percentage changes in the European Divisia carbonization index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1437-1452.
    5. Michas, Serafeim & Stavrakas, Vassilis & Papadelis, Sotiris & Flamos, Alexandros, 2020. "A transdisciplinary modeling framework for the participatory design of dynamic adaptive policy pathways," Energy Policy, Elsevier, vol. 139(C).
    6. Dong, Cong & Huang, Guohe & Cai, Yanpeng & Cheng, Guanhui & Tan, Qian, 2016. "Bayesian interval robust optimization for sustainable energy system planning in Qiqihar City, China," Energy Economics, Elsevier, vol. 60(C), pages 357-376.
    7. Strantzali, Eleni & Aravossis, Konstantinos, 2016. "Decision making in renewable energy investments: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 885-898.
    8. Zhang, Ling & Zhou, Peng & Newton, Sidney & Fang, Jian-xin & Zhou, De-qun & Zhang, Lu-ping, 2015. "Evaluating clean energy alternatives for Jiangsu, China: An improved multi-criteria decision making method," Energy, Elsevier, vol. 90(P1), pages 953-964.
    9. Jin, Jingliang & Zhou, Dequn & Zhou, Peng & Miao, Zhuang, 2014. "Environmental/economic power dispatch with wind power," Renewable Energy, Elsevier, vol. 71(C), pages 234-242.
    10. Bhowmik, Chiranjib & Bhowmik, Sumit & Ray, Amitava, 2018. "Social acceptance of green energy determinants using principal component analysis," Energy, Elsevier, vol. 160(C), pages 1030-1046.
    11. Ben Abdallah, Khaled & Belloumi, Mounir & De Wolf, Daniel, 2015. "International comparisons of energy and environmental efficiency in the road transport sector," Energy, Elsevier, vol. 93(P2), pages 2087-2101.

  95. Ju, Keyi & Zhou, Dequn & Zhou, P. & Wu, Junmin, 2014. "Macroeconomic effects of oil price shocks in China: An empirical study based on Hilbert–Huang transform and event study," Applied Energy, Elsevier, vol. 136(C), pages 1053-1066.

    Cited by:

    1. Huntington, Hillard & Barrios, James & Arora, Vipin, 2017. "Review of Key International Demand Elasticities for Major Industrializing Economies," MPRA Paper 95890, University Library of Munich, Germany, revised Aug 2019.
    2. Ding, Zhihua & Liu, Zhenhua & Zhang, Yuejun & Long, Ruyin, 2017. "The contagion effect of international crude oil price fluctuations on Chinese stock market investor sentiment," Applied Energy, Elsevier, vol. 187(C), pages 27-36.
    3. Zhou, Huiyu & Wang, Yacan & Huscroft, Joseph R. & Bai, Kailing, 2021. "Impacts of COVID-19 and anti-pandemic policies on urban transport—an empirical study in China," Transport Policy, Elsevier, vol. 110(C), pages 135-149.
    4. Nie, Pu-yan & Yang, Yong-cong, 2016. "Effects of energy price fluctuations on industries with energy inputs: An application to China," Applied Energy, Elsevier, vol. 165(C), pages 329-334.
    5. Delavari, Majid & Baranpour, Naghmeh & Abdeshahi, Abbas, 2014. "Analyzing the Effect of Real Exchange Rate on Petrochemicals Exporting," MPRA Paper 60360, University Library of Munich, Germany.
    6. Guan, Lu & Zhang, Wei-Wei & Ahmad, Ferhana & Naqvi, Bushra, 2021. "The volatility of natural resource prices and its impact on the economic growth for natural resource-dependent economies: A comparison of oil and gold dependent economies," Resources Policy, Elsevier, vol. 72(C).
    7. Markus Brueckner & Haidi Hong & Joaquin Vespignani, 2023. "Regulation of Petrol and Diesel Prices and their Effects on GDP Growth: Evidence from China," CAMA Working Papers 2023-17, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Adam, P. & Rianse, U. & Harafah, Ĺ. M. & Cahyono, E. & Rafiy, M., 2016. "A Model of the Dynamics of the Effect of World Crude Oil Price and World Rice Price on Indonesia’s Inflation Rate," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 8(1), pages 1-10, March.
    9. Yuan, Chaoqing & Liu, Sifeng & Fang, Zhigeng, 2016. "Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model," Energy, Elsevier, vol. 100(C), pages 384-390.
    10. Jia, Xiaoliang & An, Haizhong & Sun, Xiaoqi & Huang, Xuan & Wang, Lijun, 2017. "Evolution of world crude oil market integration and diversification: A wavelet-based complex network perspective," Applied Energy, Elsevier, vol. 185(P2), pages 1788-1798.
    11. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.
    12. Liu, Donghui & Meng, Lingjie & Wang, Yudong, 2020. "Oil price shocks and Chinese economy revisited: New evidence from SVAR model with sign restrictions," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 20-32.
    13. Dipesh Karki & Hari Gopal Risal, 2019. "Asymmetric Impact of Oil Price on Inflation: Evidence from Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 31(1), pages 21-46, April.
    14. Shi, Xunpeng & Sun, Sizhong, 2017. "Energy price, regulatory price distortion and economic growth: A case study of China," Energy Economics, Elsevier, vol. 63(C), pages 261-271.
    15. Razmi, Fatemeh & Azali, M. & Chin, Lee & Shah Habibullah, Muzafar, 2016. "The role of monetary transmission channels in transmitting oil price shocks to prices in ASEAN-4 countries during pre- and post-global financial crisis," Energy, Elsevier, vol. 101(C), pages 581-591.
    16. Ju, Keyi & Su, Bin & Zhou, Dequn & Zhou, P. & Zhang, Yuqiang, 2015. "Oil price crisis response: Capability assessment and key indicator identification," Energy, Elsevier, vol. 93(P2), pages 1353-1360.
    17. Khraief, Naceur & Shahbaz, Muhammad & Mahalik, Mantu Kumar & Bhattacharya, Mita, 2021. "Movements of oil prices and exchange rates in China and India: New evidence from wavelet-based, non-linear, autoregressive distributed lag estimations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    18. Prasad Bal, Debi & Narayan Rath, Badri, 2015. "Nonlinear causality between crude oil price and exchange rate: A comparative study of China and India," Energy Economics, Elsevier, vol. 51(C), pages 149-156.
    19. Umar Bala & Lee Chin & Ghulam Mustafa, 2022. "Threshold Effects of Oil Price and Oil Export on Trade Balance in Africa," Journal of Economic Impact, Science Impact Publishers, vol. 4(1), pages 14-27.
    20. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu, 2016. "Oil price and exchange rate in India: Fresh evidence from continuous wavelet approach and asymmetric, multi-horizon Granger-causality tests," Applied Energy, Elsevier, vol. 179(C), pages 272-283.
    21. Ju, Keyi & Su, Bin & Zhou, Dequn & Wu, Junmin & Liu, Lifan, 2016. "Macroeconomic performance of oil price shocks: Outlier evidence from nineteen major oil-related countries/regions," Energy Economics, Elsevier, vol. 60(C), pages 325-332.
    22. Go You-How & Chin Lai-Kwan & Kuah Yoke-Chin & Wei Chooi-Yi, 2018. "Information Spillover Between Crude Oil and Stock Markets: Evidence from Subsidy Cut for RON95 Fuel Price in Malaysia," Global Business Review, International Management Institute, vol. 19(4), pages 889-901, August.
    23. Hamid Baghestani & Bassam M. AbuAl-Foul, 2019. "Dynamics between Oil Prices and UAE Effective Exchange Rates: An Empirical Examination," Review of Economics & Finance, Better Advances Press, Canada, vol. 16, pages 89-103, May.
    24. Sun, Chuanwang & Zhan, Yanhong & Peng, Yiqi & Cai, Weiyi, 2022. "Crude oil price and exchange rate: Evidence from the period before and after the launch of China's crude oil futures," Energy Economics, Elsevier, vol. 105(C).
    25. Ramón Egea Pérez & Mónica Cortés-Molina & Francisco J. Navarro-González, 2021. "Analysis of Rainfall Time Series with Application to Calculation of Return Periods," Sustainability, MDPI, vol. 13(14), pages 1-18, July.
    26. Nazeer Ahmed & Ma Dingchou & Abdul Qayyum, 2021. "Further Evidence on Asymmetry in the Impact of Oil Price on Exchange Rate and Stock Price in China using Daily Data," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(5), pages 1-83, May.
    27. Markus Brueckner & Haidi Hong & Joaquin Vespignani, 2023. "Effects of Government Regulation of Diesel and Petrol Prices on GDP Growth: Evidence from China," ANU Working Papers in Economics and Econometrics 2023-690, Australian National University, College of Business and Economics, School of Economics.
    28. Ju, Keyi & Su, Bin & Zhou, Dequn & Zhang, Yuqiang, 2016. "An incentive-oriented early warning system for predicting the co-movements between oil price shocks and macroeconomy," Applied Energy, Elsevier, vol. 163(C), pages 452-463.
    29. Chuxiong Deng & Zhujun Jiang & Chuanwang Sun, 2018. "Estimating the Efficiency and Impacts of Petroleum Product Pricing Reforms in China," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
    30. He, Yongda & Lin, Boqiang, 2023. "Is market power the cause of asymmetric pricing in China's refined oil market?," Energy Economics, Elsevier, vol. 124(C).
    31. Eren Yildiz & Merve Karacaer Ulusoy, 2015. "The Fragility of Turkish Economy from the Perspective of Oil Dependency," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 13(3 (Fall)), pages 253-266.
    32. Afego, Pyemo N. & Alagidede, Imhotep P., 2021. "What does corporate social advocacy signal? Evidence from boycott participation decisions," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue forthcomi.
    33. Umar Tijjani Babuga & Niaz Ahmad Mohd Naseem, 2022. "Oil Price Change and Economic Growth: Evidence from Net Sub-Saharan Africa Oil Exporting Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 369-378, March.
    34. Huang, Shupei & An, Haizhong & Huang, Xuan & Wang, Yue, 2018. "Do all sectors respond to oil price shocks simultaneously?," Applied Energy, Elsevier, vol. 227(C), pages 393-402.
    35. Wang, Qizhen & Zhu, Yingming & Wang, Yudong, 2017. "The effects of oil shocks on export duration of China," Energy, Elsevier, vol. 125(C), pages 55-61.
    36. Li, Houjian & Huang, Xinya & Guo, Lili, 2023. "Extreme risk dependence and time-varying spillover between crude oil, commodity market and inflation in China," Energy Economics, Elsevier, vol. 127(PB).
    37. Ahmad, Wasim & Prakash, Ravi & Uddin, Gazi Salah & Chahal, Rishman Jot Kaur & Rahman, Md. Lutfur & Dutta, Anupam, 2020. "On the intraday dynamics of oil price and exchange rate: What can we learn from China and India?," Energy Economics, Elsevier, vol. 91(C).
    38. Wei Qiang & Aimei Lin & Chao Zhao & Zhenhua Liu & Manzhi Liu & Xiaozhen Wang, 2019. "The impact of international crude oil price fluctuation on the exchange rate of petroleum-importing countries: a summary of recent studies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 227-239, January.
    39. Wang, Delu & Ma, Gang & Song, Xuefeng & Liu, Yun, 2017. "Energy price slump and policy response in the coal-chemical industry district: A case study of Ordos with a system dynamics model," Energy Policy, Elsevier, vol. 104(C), pages 325-339.
    40. Liu, Donghui & Meng, Lingjie & Wang, Yudong, 2021. "The asymmetric effects of oil price changes on China’s exports: New evidence from a nonlinear autoregressive distributed lag model," Journal of Asian Economics, Elsevier, vol. 77(C).
    41. Liu, Min & Lee, Chien-Chiang, 2022. "Is gold a long-run hedge, diversifier, or safe haven for oil? Empirical evidence based on DCC-MIDAS," Resources Policy, Elsevier, vol. 76(C).

  96. Fan, L.W. & Wu, F. & Zhou, P., 2014. "Efficiency measurement of Chinese airports with flight delays by directional distance function," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 140-145.

    Cited by:

    1. Eshtaiwi, Mohamed & Badi, Ibrahim & Abdulshahed, Ali & Erkan, Turan Erman, 2018. "Determination of key performance indicators for measuring airport success: A case study in Libya," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 28-34.
    2. Bergantino, Angela Stefania & Intini, Mario & Volta, Nicola, 2021. "The spatial dimension of competition among airports at the worldwide level: a spatial stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 295(1), pages 118-130.
    3. Chen, Yun-Hsuan & Lin, Jen-Jia, 2021. "Determinants of flight delays at East Asian airports from an airport, route and network perspective," Journal of Air Transport Management, Elsevier, vol. 94(C).
    4. Hao Xu & Yeqing Wang & Hongwei Liu & Ronglu Yang, 2020. "Environmental Efficiency Measurement and Convergence Analysis of Interprovincial Road Transport in China," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    5. Fragoudaki, Alexandra & Giokas, Dimitrios, 2020. "Airport efficiency in the dawn of privatization: The case of Greece," Journal of Air Transport Management, Elsevier, vol. 86(C).
    6. Zhu, Feng & Wu, Xu & Cao, Chengxuan, 2021. "High-speed rail and air transport competition under high flight delay conditions in China: A case study of the Beijing-Shanghai corridor," Utilities Policy, Elsevier, vol. 71(C).
    7. Gulati, Rachita, 2022. "Global and local banking crises and risk-adjusted efficiency of Indian banks: Are the impacts really perspective-dependent?," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 23-39.
    8. Myung Je Lee & Changhee Kim, 2018. "A network DEA aeronautical and non-aeronautical production model: an application to South Korea airports," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-12, December.
    9. Jiang, Yonglei & Liao, Feixiong & Xu, Qi & Yang, Zhongzhen, 2019. "Identification of technology spillover among airport alliance from the perspective of efficiency evaluation: The case of China," Transport Policy, Elsevier, vol. 80(C), pages 49-58.
    10. Zhang, Baocheng & Wu, Hao & Yang, Xinsheng & Zhai, Wenpeng & Xia, Qingjun & Li, Yafei, 2014. "An estimation of returns to scale of airport airsides under multiple optimal solutions in DEA," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 149-156.
    11. Shao, Yanmin & Sun, Changfu, 2016. "Performance evaluation of China's air routes based on network data envelopment analysis approach," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 67-75.
    12. Chen, Zhongfei & Wanke, Peter & Antunes, Jorge Junio Moreira & Zhang, Ning, 2017. "Chinese airline efficiency under CO2 emissions and flight delays: A stochastic network DEA model," Energy Economics, Elsevier, vol. 68(C), pages 89-108.
    13. Liu, Dan, 2016. "Measuring aeronautical service efficiency and commercial service efficiency of East Asia airport companies: An application of Network Data Envelopment Analysis," Journal of Air Transport Management, Elsevier, vol. 52(C), pages 11-22.
    14. Güner, Samet & İbrahim Cebeci, Halil, 2021. "Multi-period efficiency analysis of major European and Asian airports under fixed proportion technologies," Transport Policy, Elsevier, vol. 107(C), pages 24-42.
    15. Voltes-Dorta, Augusto & Martín, Juan Carlos, 2016. "Benchmarking the noise-oriented efficiency of major European airports: A directional distance function approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 259-273.
    16. Tsionas, Mike G. & Chen, Zhongfei & Wanke, Peter, 2017. "A structural vector autoregressive model of technical efficiency and delays with an application to Chinese airlines," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 1-10.
    17. Liu, Dan, 2017. "Evaluating the multi-period efficiency of East Asia airport companies," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 71-82.
    18. Wang, Zhanwei & Song, Woon-Kyung, 2020. "Sustainable airport development with performance evaluation forecasts: A case study of 12 Asian airports," Journal of Air Transport Management, Elsevier, vol. 89(C).
    19. Tae-Woong Yang & Joon-Ho Na & Hun-Koo Ha, 2019. "Comparative Analysis of Production Possibility Frontier in Measuring Social Efficiency with Data Envelopment Analysis: An Application to Airports," Sustainability, MDPI, vol. 11(7), pages 1-18, April.
    20. Yongrok Choi & Hua Wen & Hyoungsuk Lee & Hang Yang, 2020. "Measuring Operational Performance of Major Chinese Airports Based on SBM-DEA," Sustainability, MDPI, vol. 12(19), pages 1-17, October.
    21. Wang, Jiaoe & Bonilla, David & Banister, David, 2016. "Air deregulation in China and its impact on airline competition 1994–2012," Journal of Transport Geography, Elsevier, vol. 50(C), pages 12-23.
    22. Güner, Samet & Cebeci, Halil İbrahim & Antunes, Jorge Junio Moreira & Wanke, Peter F., 2021. "Sustainable efficiency drivers in Eurasian airports: Fuzzy NDEA approach based on Shannon's entropy," Journal of Air Transport Management, Elsevier, vol. 92(C).
    23. Huang, Fei & Zhou, Dequn & Hu, Jin-Li & Wang, Qunwei, 2020. "Integrated airline productivity performance evaluation with CO2 emissions and flight delays," Journal of Air Transport Management, Elsevier, vol. 84(C).
    24. Hu, Rong & Huang, Mengyuan & Zhang, Junfeng & Witlox, Frank, 2023. "On the Matthew effect in a multi-airport system: Evidence from the viewpoint of airport green efficiency," Journal of Air Transport Management, Elsevier, vol. 106(C).
    25. Bergantino, Angela Stefania & Intini, Mario & Volta, Nicola, 2020. "Spatial competition and efficiency: an investigation in the airport sector," The Warwick Economics Research Paper Series (TWERPS) 1287, University of Warwick, Department of Economics.
    26. Chen, Zhongfei & Barros, Carlos & Yu, Yanni, 2017. "Spatial distribution characteristic of Chinese airports: A spatial cost function approach," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 63-70.
    27. Bezerra, George C.L. & Gomes, Carlos F., 2018. "Performance measurement practices in airports: Multidimensionality and utilization patterns," Journal of Air Transport Management, Elsevier, vol. 70(C), pages 113-125.

  97. Meng, F.Y. & Zhou, D.Q. & Zhou, P. & Bai, Y., 2014. "Sectoral comparison of electricity-saving potentials in China: An analysis based on provincial input–output tables," Energy, Elsevier, vol. 72(C), pages 772-782.

    Cited by:

    1. Wang, Changbo & Malik, Arunima & Wang, Yafei & Chang, Yuan & Pang, Mingyue & Zhou, Dequn, 2020. "Understanding the resource-use and environmental impacts of bioethanol production in China based on a MRIO-based hybrid LCA model," Energy, Elsevier, vol. 203(C).
    2. Mardones, Cristian & Baeza, Nicolas, 2018. "Economic and environmental effects of a CO2 tax in Latin American countries," Energy Policy, Elsevier, vol. 114(C), pages 262-273.
    3. Gao Jingxin & Chen Yunong & Zhong Xiaoyang & Ma Xianrui, 2021. "Energy Consumption in China’s Construction Industry: Energy Driving and Driven Abilities from a Regional Perspective," Journal of Systems Science and Information, De Gruyter, vol. 9(1), pages 45-60, February.
    4. Özkara, Yücel & Atak, Mehmet, 2015. "Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey," Energy, Elsevier, vol. 93(P1), pages 495-510.
    5. Hao Xiao & Shuquan Li & Julien Chevallier & Bangzhu Zhu, 2017. "Electricity-Savings Pressure and Electricity-Savings Potential among China?s Inter-Provincial Manufacturing Sectors," Working Papers 2017-006, Department of Research, Ipag Business School.
    6. Changjian Wang & Fei Wang, 2015. "Structural Decomposition Analysis of Carbon Emissions and Policy Recommendations for Energy Sustainability in Xinjiang," Sustainability, MDPI, vol. 7(6), pages 1-20, June.
    7. Ling Li & Ling Tang & Junrong Zhang, 2019. "Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO 2 Emission Intensity in China," Energies, MDPI, vol. 12(12), pages 1-23, June.
    8. Alexander Kramer & Fernando Morgado‐Dias, 2020. "Artificial intelligence in process control applications and energy saving: a review and outlook," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(6), pages 1133-1150, December.
    9. Choi, Jun-Ki & Morrison, Drew & Hallinan, Kevin P. & Brecha, Robert J., 2014. "Economic and environmental impacts of community-based residential building energy efficiency investment," Energy, Elsevier, vol. 78(C), pages 877-886.
    10. Zhen, Wei & Qin, Quande & Zhong, Zhangqi & Li, Li & Wei, Yi-Ming, 2018. "Uncovering household indirect energy-saving responsibility from a sectoral perspective: An empirical analysis of Guangdong, China," Energy Economics, Elsevier, vol. 72(C), pages 451-461.
    11. Onat, Nuri Cihat & Kucukvar, Murat, 2020. "Carbon footprint of construction industry: A global review and supply chain analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    12. Duarte, Rosa & Langarita, Raquel & Sánchez-Chóliz, Julio, 2017. "The electricity industry in Spain: A structural analysis using a disaggregated input-output model," Energy, Elsevier, vol. 141(C), pages 2640-2651.
    13. Jiang, Xuemei & Zhu, Kunfu & Green, Christopher, 2015. "China's energy saving potential from the perspective of energy efficiency advantages of foreign-invested enterprises," Energy Economics, Elsevier, vol. 49(C), pages 104-112.
    14. ORALHAN Burcu & ALTAY TOPCU Betül & SÜMERLİ SARIGÜL Sevgi, 2016. "Determination Of Key Sectors In Turkish Economy By Using Input-Output Analysis," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 68(1), pages 178-192, June.
    15. Cortés-Borda, D. & Guillén-Gosálbez, G. & Jiménez, L., 2015. "Assessment of nuclear energy embodied in international trade following a world multi-regional input–output approach," Energy, Elsevier, vol. 91(C), pages 91-101.

  98. Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.

    Cited by:

    1. Moriah Bostian & Rolf Färe & Shawna Grosskopf & Tommy Lundgren & William L. Weber, 2018. "Time substitution for environmental performance: The case of Swedish manufacturing," Empirical Economics, Springer, vol. 54(1), pages 129-152, February.
    2. Ning, Yadong & Chen, Kunkun & Zhang, Boya & Ding, Tao & Guo, Fei & Zhang, Ming, 2020. "Energy conservation and emission reduction path selection in China: A simulation based on Bi-Level multi-objective optimization model," Energy Policy, Elsevier, vol. 137(C).
    3. Zhaohua, Wang & Jingyun, Li & Bin, Lu & Bo, Wang & Bin, Zhang & Kaining, Sun & Mao, Fan, 2023. "Effectiveness and risk of initial carbon quota allocation principle under the uncertainty of the Chinese electricity market," China Economic Review, Elsevier, vol. 77(C).
    4. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    5. Shi, Wei & Li, Wei & Qiao, Fuwei & Wang, Weijuan & An, Yi & Zhang, Guowei, 2023. "An inter-provincial carbon quota study in China based on the contribution of clean energy to carbon reduction," Energy Policy, Elsevier, vol. 182(C).
    6. Stefano Moretti & Raja Trabelsi, 2021. "A Double-Weighted Bankruptcy Method to Allocate CO2 Emissions Permits," Post-Print hal-03835536, HAL.
    7. Stefano Moretti & Raja Trabelsi, 2021. "A Double-Weighted Bankruptcy Method to Allocate CO 2 Emissions Permits," Games, MDPI, vol. 12(4), pages 1-21, October.
    8. Ouyang, Xiaoling & Sun, Chuanwang, 2015. "Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency," Energy Economics, Elsevier, vol. 48(C), pages 117-126.
    9. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    10. Zhao, Jiqiang & Wu, Xianhua & Guo, Ji & Gao, Chao, 2022. "Allocation of SO2 emission rights in city agglomerations considering cross-border transmission of pollutants: A new network DEA model," Applied Energy, Elsevier, vol. 325(C).
    11. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    12. Toshiyuki Sueyoshi & Yan Yuan & Aijun Li & Daoping Wang, 2017. "Social Sustainability of Provinces in China: A Data Envelopment Analysis (DEA) Window Analysis under the Concepts of Natural and Managerial Disposability," Sustainability, MDPI, vol. 9(11), pages 1-18, November.
    13. He, Weijun & Yang, Yi & Wang, Zhaohua & Zhu, Joe, 2018. "Estimation and allocation of cost savings from collaborative CO2 abatement in China," Energy Economics, Elsevier, vol. 72(C), pages 62-74.
    14. Lin, Boqiang & Bai, Rui, 2020. "Dynamic energy performance evaluation of Chinese textile industry," Energy, Elsevier, vol. 199(C).
    15. Sun, J. & Wen, W. & Wang, M. & Zhou, P., 2022. "Optimizing the provincial target allocation scheme of renewable portfolio standards in China," Energy, Elsevier, vol. 250(C).
    16. Xiaodie Liu & Xiangqian Wang & Xiangrui Meng, 2023. "Carbon Emission Scenario Prediction and Peak Path Selection in China," Energies, MDPI, vol. 16(5), pages 1-17, February.
    17. Ziheng Niu & Li Chai, 2022. "Carbon Emission Reduction by Bicycle-Sharing in China," Energies, MDPI, vol. 15(14), pages 1-17, July.
    18. Aizhen Zhang & Aijun Li & Yaping Gao, 2018. "Social Sustainability Assessment across Provinces in China: An Analysis of Combining Intermediate Approach with Data Envelopment Analysis (DEA) Window Analysis," Sustainability, MDPI, vol. 10(3), pages 1-24, March.
    19. Jiekun Song & Rui Chen & Xiaoping Ma, 2021. "Collaborative Allocation of Energy Consumption, Air Pollutants and CO 2 Emissions in China," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    20. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    21. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    22. Long, Xingle & Zhao, Xicang & Cheng, Faxin, 2015. "The comparison analysis of total factor productivity and eco-efficiency in China's cement manufactures," Energy Policy, Elsevier, vol. 81(C), pages 61-66.
    23. Wu, Yinyin & Wang, Ping & Liu, Xin & Chen, Jiandong & Song, Malin, 2020. "Analysis of regional carbon allocation and carbon trading based on net primary productivity in China," China Economic Review, Elsevier, vol. 60(C).
    24. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy & Weber, William L., 2016. "Time substitution for environmental performance: The case of Sweden manufacturing," CERE Working Papers 2016:3, CERE - the Center for Environmental and Resource Economics.
    25. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    26. Xiao Gong & Jianing Mi & Chunyan Wei & Ruitao Yang, 2019. "Measuring Environmental and Economic Performance of Air Pollution Control for Province-Level Areas in China," IJERPH, MDPI, vol. 16(8), pages 1-19, April.
    27. Yu, Anyu & You, Jianxin & Rudkin, Simon & Zhang, Hao, 2019. "Industrial carbon abatement allocations and regional collaboration: Re-evaluating China through a modified data envelopment analysis," Applied Energy, Elsevier, vol. 233, pages 232-243.
    28. Lin, Boqiang & Du, Kerui, 2015. "Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach," Energy Economics, Elsevier, vol. 49(C), pages 550-557.
    29. Zuoren Sun & Rundong Luo & Dequn Zhou, 2015. "Optimal Path for Controlling Sectoral CO 2 Emissions Among China’s Regions: A Centralized DEA Approach," Sustainability, MDPI, vol. 8(1), pages 1-20, December.
    30. Dalai Ma & Yaping Xiao & Na Zhao, 2022. "Optimization and Spatiotemporal Differentiation of Carbon Emission Rights Allocation in the Power Industry in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    31. Jiekun Song & Rui Chen & Xiaoping Ma, 2022. "Provincial Allocation of Energy Consumption, Air Pollutant and CO 2 Emission Quotas in China: Based on a Weighted Environment ZSG-DEA Model," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    32. Yongjun Li & Wenhui Hou & Weiwei Zhu & Feng Li & Liang Liang, 2021. "Provincial carbon emission performance analysis in China based on a Malmquist data envelopment analysis approach with fixed-sum undesirable outputs," Annals of Operations Research, Springer, vol. 304(1), pages 233-261, September.
    33. Jiasen Sun & Guo Li, 2022. "Optimizing emission reduction task sharing: technology and performance perspectives," Annals of Operations Research, Springer, vol. 316(1), pages 581-602, September.
    34. Sueyoshi, Toshiyuki & Goto, Mika & Wang, Derek, 2017. "Malmquist index measurement for sustainability enhancement in Chinese municipalities and provinces," Energy Economics, Elsevier, vol. 67(C), pages 554-571.
    35. Sueyoshi, Toshiyuki & Yuan, Yan, 2017. "Social sustainability measured by intermediate approach for DEA environmental assessment: Chinese regional planning for economic development and pollution prevention," Energy Economics, Elsevier, vol. 66(C), pages 154-166.
    36. Wang, Zhan & Deng, Xiangzheng, 2017. "The energy policy outlets for community acceptance of ecological investment in China," Energy Policy, Elsevier, vol. 107(C), pages 669-677.
    37. Ciardiello, F. & Genovese, A. & Simpson, A., 2019. "Pollution responsibility allocation in supply networks: A game-theoretic approach and a case study," International Journal of Production Economics, Elsevier, vol. 217(C), pages 211-217.
    38. Zhang, Zibin & Ye, Jianliang, 2015. "Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China," Energy Economics, Elsevier, vol. 47(C), pages 87-97.
    39. Ouyang, Xiaoling & Wei, Xiaoyun & Sun, Chuanwang & Du, Gang, 2018. "Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China," Energy Policy, Elsevier, vol. 118(C), pages 573-583.
    40. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis," Energy Economics, Elsevier, vol. 48(C), pages 217-229.
    41. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2016. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," Omega, Elsevier, vol. 63(C), pages 48-59.
    42. Ananda, Jayanath & Hampf, Benjamin, 2015. "Measuring environmentally sensitive productivity growth: An application to the urban water sector," Ecological Economics, Elsevier, vol. 116(C), pages 211-219.
    43. Sha, Ru & Li, Jinye & Ge, Tao, 2021. "How do price distortions of fossil energy sources affect China's green economic efficiency?," Energy, Elsevier, vol. 232(C).
    44. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Returns to damage under undesirable congestion and damages to return under desirable congestion measured by DEA environmental assessment with multiplier restriction: Economic and energy planning for s," Energy Economics, Elsevier, vol. 56(C), pages 288-309.
    45. Zhou, X. & Fan, L.W. & Zhou, P., 2015. "Marginal CO2 abatement costs: Findings from alternative shadow price estimates for Shanghai industrial sectors," Energy Policy, Elsevier, vol. 77(C), pages 109-117.
    46. Li Huang & Scott Kelly & Xuan Lu & Kangjuan Lv & Xunpeng Shi & Damien Giurco, 2019. "Carbon Communities and Hotspots for Carbon Emissions Reduction in China," Sustainability, MDPI, vol. 11(19), pages 1-29, October.
    47. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    48. Ming Meng & Lixue Wang & Qu Chen, 2018. "Quota Allocation for Carbon Emissions in China’s Electric Power Industry Based Upon the Fairness Principle," Energies, MDPI, vol. 11(9), pages 1-16, August.
    49. Kejia Yang & Yalin Lei & Weiming Chen & Lingna Liu, 2018. "Carbon dioxide emission reduction quota allocation study on Chinese provinces based on two-stage Shapley information entropy model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(1), pages 321-335, March.
    50. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2015. "Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 51(C), pages 252-260.
    51. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations," Energy Policy, Elsevier, vol. 108(C), pages 163-177.
    52. Yang, Zhenbing & Shao, Shuai & Yang, Lili & Miao, Zhuang, 2018. "Improvement pathway of energy consumption structure in China's industrial sector: From the perspective of directed technical change," Energy Economics, Elsevier, vol. 72(C), pages 166-176.
    53. Yang, Lisha & Li, Yutianhao & Liu, Hongxun, 2021. "Did carbon trade improve green production performance? Evidence from China," Energy Economics, Elsevier, vol. 96(C).
    54. Liu, Zhao & Zhang, Huan & Zhang, Yue-Jun & Zhu, Tian-Tian, 2020. "How does industrial policy affect the eco-efficiency of industrial sector? Evidence from China," Applied Energy, Elsevier, vol. 272(C).
    55. Wang, Keying & Wu, Meng & Sun, Yongping & Shi, Xunpeng & Sun, Ao & Zhang, Ping, 2019. "Resource abundance, industrial structure, and regional carbon emissions efficiency in China," Resources Policy, Elsevier, vol. 60(C), pages 203-214.
    56. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    57. Shuangjie Li & Hongyu Diao & Liming Wang & Chunqi Li, 2021. "Energy Efficiency Measurement: A VO TFEE Approach and Its Application," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    58. Xie, Qiwei & Hu, Ping & Jiang, An & Li, Yongjun, 2019. "Carbon emissions allocation based on satisfaction perspective and data envelopment analysis," Energy Policy, Elsevier, vol. 132(C), pages 254-264.
    59. Long, Xingle & Sun, Mei & Cheng, Faxin & Zhang, Jijian, 2017. "Convergence analysis of eco-efficiency of China’s cement manufacturers through unit root test of panel data," Energy, Elsevier, vol. 134(C), pages 709-717.
    60. Wu, Jie & Zhu, Qingyuan & Liang, Liang, 2016. "CO2 emissions and energy intensity reduction allocation over provincial industrial sectors in China," Applied Energy, Elsevier, vol. 166(C), pages 282-291.
    61. Jianglong Li & Zhi Li, 2018. "Understanding the role of economic transition in enlarging energy price elasticity," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(2), pages 253-281, April.
    62. Xiaofei Han & Jianling Jiao & Lancui Liu & Lanlan Li, 2017. "China’s energy demand and carbon dioxide emissions: do carbon emission reduction paths matter?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(3), pages 1333-1345, April.
    63. Wang, Derek D., 2019. "Performance-based resource allocation for higher education institutions in China," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 66-75.
    64. Zhu, Bangzhu & Jiang, Mingxing & He, Kaijian & Chevallier, Julien & Xie, Rui, 2018. "Allocating CO2 allowances to emitters in China: A multi-objective decision approach," Energy Policy, Elsevier, vol. 121(C), pages 441-451.
    65. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    66. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.
    67. Wen-Chi Yang & Wen-Min Lu, 2023. "Achieving Net Zero—An Illustration of Carbon Emissions Reduction with A New Meta-Inverse DEA Approach," IJERPH, MDPI, vol. 20(5), pages 1-20, February.

  99. Bi, Gong-Bing & Song, Wen & Zhou, P. & Liang, Liang, 2014. "Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model," Energy Policy, Elsevier, vol. 66(C), pages 537-546.

    Cited by:

    1. Yao Hu & Tai-Hua Yan & Feng-Wen Chen, 2020. "Energy and Environment Performance of Resource-Based Cities in China: A Non-Parametric Approach for Estimating Hyperbolic Distance Function," IJERPH, MDPI, vol. 17(13), pages 1-23, July.
    2. Seifert, Stefan, 2015. "Productivity Growth and its Sources - A StoNED Metafrontier Analyis of the German Electricity Generating Sector," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112975, Verein für Socialpolitik / German Economic Association.
    3. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas, 2021. "Improving energy use and mitigating pollutant emissions across “Three Regions and Ten Urban Agglomerations”: A city-level productivity growth decomposition," Applied Energy, Elsevier, vol. 283(C).
    4. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    5. Zou, Baoling & Mishra, Ashok K., 2020. "Appliance usage and choice of energy-efficient appliances: Evidence from rural Chinese households," Energy Policy, Elsevier, vol. 146(C).
    6. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    7. Shoujun Lyu & Xingchi Shen & Yujie Bi, 2020. "The Dually Negative Effect of Industrial Polluting Enterprises on China’s Air Pollution: A Provincial Panel Data Analysis Based on Environmental Regulation Theory," IJERPH, MDPI, vol. 17(21), pages 1-16, October.
    8. Lin, Hongbo & Zhang, Xiaoling & Chen, Zhenling & Zheng, Heyun, 2020. "Estimating the potential output and output gap for China's coal cities with pollutants reduction," Resources Policy, Elsevier, vol. 68(C).
    9. Jian Song & Jing Wang & Zhe Chen, 2022. "How Low-Carbon Pilots Affect Chinese Urban Energy Efficiency: An Explanation from Technological Progress," IJERPH, MDPI, vol. 19(23), pages 1, November.
    10. Ke Wang & Chia-Yen Lee & Jieming Zhang & Yi-Ming Wei, 2016. "Operational performance management of the power industry: A distinguishing analysis between effectiveness and efficiency," CEEP-BIT Working Papers 93, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    11. Chu, Junfei & Shao, Caifeng & Emrouznejad, Ali & Wu, Jie & Yuan, Zhe, 2021. "Performance evaluation of organizations considering economic incentives for emission reduction: A carbon emission permit trading approach," Energy Economics, Elsevier, vol. 101(C).
    12. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    13. Zhao, Xiaoli & Yin, Haitao & Zhao, Yue, 2015. "Impact of environmental regulations on the efficiency and CO2 emissions of power plants in China," Applied Energy, Elsevier, vol. 149(C), pages 238-247.
    14. Zhang, Yixiang & Xiong, Yali & Li, Feng & Cheng, Jinhua & Yue, Xiaochen, 2020. "Environmental regulation, capital output and energy efficiency in China: An empirical research based on integrated energy prices," Energy Policy, Elsevier, vol. 146(C).
    15. Hengfan Lu & Jiachao Peng & Xiangyi Lu, 2022. "Do Factor Market Distortions and Carbon Dioxide Emissions Distort Energy Industry Chain Technical Efficiency? A Heterogeneous Stochastic Frontier Analysis," Energies, MDPI, vol. 15(17), pages 1-22, August.
    16. Kluczek, Aldona, 2019. "An energy-led sustainability assessment of production systems – An approach for improving energy efficiency performance," International Journal of Production Economics, Elsevier, vol. 216(C), pages 190-203.
    17. Emrouznejad, Ali & Yang, Guo-liang, 2016. "A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries," Energy, Elsevier, vol. 115(P1), pages 840-856.
    18. Jian Chai & Wenyue Fan & Jing Han, 2019. "Does the Energy Efficiency of Power Companies Affect Their Industry Status? A DEA Analysis of Listed Companies in Thermal Power Sector," Sustainability, MDPI, vol. 12(1), pages 1-12, December.
    19. Chen, Zhe & Song, Pei & Wang, Baolu, 2021. "Carbon emissions trading scheme, energy efficiency and rebound effect – Evidence from China's provincial data," Energy Policy, Elsevier, vol. 157(C).
    20. Xiang Liu & Jia Liu, 2016. "Measurement of Low Carbon Economy Efficiency with a Three-Stage Data Envelopment Analysis: A Comparison of the Largest Twenty CO 2 Emitting Countries," IJERPH, MDPI, vol. 13(11), pages 1-14, November.
    21. Ngo, Thanh Quang, 2021. "How do environmental regulations affect carbon emission and energy efficiency patterns? A provincial-level analysis of Chinese energy-intensive industries," MPRA Paper 109674, University Library of Munich, Germany.
    22. Bian, Yiwen & Hu, Miao & Wang, Yousen & Xu, Hao, 2016. "Energy efficiency analysis of the economic system in China during 1986–2012: A parallel slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 990-998.
    23. Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
    24. Kai Hu & Dandan Li & Daqian Shi & Wenli Xu, 2023. "Environmental regulation and energy efficiency: evidence from daily penalty policy in China," Journal of Regulatory Economics, Springer, vol. 63(1), pages 1-29, April.
    25. Yi Ren & Yuan Tian & Chengqiu Zhang, 2022. "Investigating the mechanisms among industrial agglomeration, environmental pollution and sustainable industrial efficiency: a case study in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12467-12493, November.
    26. Ratanakuakangwan, Sudlop & Morita, Hiroshi, 2022. "Multi-aspect efficiency measurement of multi-objective energy planning model dealing with uncertainties," Applied Energy, Elsevier, vol. 313(C).
    27. Tao Li & Yunfen Guo & Liqi Yi & Tian Gao, 2022. "Environmental Performance Evaluation of New Type Thermal Power Enterprises Considering Carbon Peak and Neutrality," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    28. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    29. Ping Wang & Bangzhu Zhu & Xueping Tao & Rui Xie, 2017. "Measuring regional energy efficiencies in China: a meta-frontier SBM-Undesirable approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 793-809, January.
    30. Renjie Yu & Peng Yuan & Fandi Yang & Gongxiong Jiang, 2023. "Effects of Vertical Unbundling on the Operational and Environmental Efficiency of Chinese Thermal Power Firms," Energies, MDPI, vol. 16(21), pages 1-22, October.
    31. Chen, Zhenling & Zhao, Weigang & Zheng, Heyun, 2021. "Potential output gap in China's regional coal-fired power sector under the constraint of carbon emission reduction," Energy Policy, Elsevier, vol. 148(PA).
    32. Wang, Ying & Deng, Xiangzheng & Zhang, Hongwei & Liu, Yujie & Yue, Tianxiang & Liu, Gang, 2022. "Energy endowment, environmental regulation, and energy efficiency: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    33. Guangqin Li & Shiyu Lu & Shuai Shao & Lili Yang & Ke Zhang, 2021. "Do environmental regulations hamper small enterprises' market entry? Evidence from China," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 252-266, January.
    34. Maria Elisabete Neves & Carla Henriques & João Vilas, 2021. "Financial performance assessment of electricity companies: evidence from Portugal," Operational Research, Springer, vol. 21(4), pages 2809-2857, December.
    35. Haoran Zhao & Huiru Zhao & Sen Guo, 2018. "Operational Efficiency of Chinese Provincial Electricity Grid Enterprises: An Evaluation Employing a Three-Stage Data Envelopment Analysis (DEA) Model," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    36. Tan, Ruipeng & Lin, Boqiang & Liu, Xiying, 2019. "Impacts of eliminating the factor distortions on energy efficiency—A focus on China's secondary industry," Energy, Elsevier, vol. 183(C), pages 693-701.
    37. Qingyan Zhu, 2023. "How Will the Relationship between Technological Innovation and Green Total Factor Productivity Change under the Influence of Service-Oriented Upgrading of Industrial Structure?," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    38. Jing Fu, 2018. "Two-stage data envelopment analysis with undesirable intermediate measures: an application to air quality improvement in China," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 861-885, December.
    39. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    40. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    41. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2018. "Environmental efficiency and abatement efficiency measurements of China's thermal power industry: A data envelopment analysis based materials balance approach," European Journal of Operational Research, Elsevier, vol. 269(1), pages 35-50.
    42. Sedef E. Kara & Mustapha D. Ibrahim & Sahand Daneshvar, 2021. "Dual Efficiency and Productivity Analysis of Renewable Energy Alternatives of OECD Countries," Sustainability, MDPI, vol. 13(13), pages 1-14, July.
    43. Gong, Shixin & Shao, Cheng & Zhu, Li, 2017. "Energy efficiency evaluation in ethylene production process with respect to operation classification," Energy, Elsevier, vol. 118(C), pages 1370-1379.
    44. Ai, Hongshan & Wu, Xiaofei & Li, Ke, 2020. "Differentiated effects of diversified technological sources on China's electricity consumption: Evidence from the perspective of rebound effect," Energy Policy, Elsevier, vol. 137(C).
    45. Jinchao Li & Xian Geng & Jinying Li, 2016. "A Comparison of Electricity Generation System Sustainability among G20 Countries," Sustainability, MDPI, vol. 8(12), pages 1-11, December.
    46. Cao, Hongjian & Wang, Bizhe & Li, Ke, 2021. "Regulatory policy and misallocation: A new perspective based on the productivity effect of cleaner production standards in China's energy firms," Energy Policy, Elsevier, vol. 152(C).
    47. Pan, Xiongfeng & Ai, Bowei & Li, Changyu & Pan, Xianyou & Yan, Yaobo, 2019. "Dynamic relationship among environmental regulation, technological innovation and energy efficiency based on large scale provincial panel data in China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 428-435.
    48. Lee, Meng Hong & Chang, Dong-Shang, 2016. "Allocative efficiency of high-power Li-ion batteries from automotive mode (AM) to storage mode (SM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 60-67.
    49. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    50. Ke Wang & Jieming Zhang & Yi-Ming Wei, 2017. "Operational and environmental performance in China¡¯s thermal power industry: Taking an effectiveness measure as complement to an efficiency measure," CEEP-BIT Working Papers 100, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    51. Sueyoshi, Toshiyuki & Goto, Mika & Wang, Derek, 2017. "Malmquist index measurement for sustainability enhancement in Chinese municipalities and provinces," Energy Economics, Elsevier, vol. 67(C), pages 554-571.
    52. Shermeh, H. Ebrahimzadeh & Najafi, S.E. & Alavidoost, M.H., 2016. "A novel fuzzy network SBM model for data envelopment analysis: A case study in Iran regional power companies," Energy, Elsevier, vol. 112(C), pages 686-697.
    53. Xiaolong Yang & Yan Li & Dongxiao Niu & Lijie Sun, 2019. "Research on the Economic Benefit Evaluation of Combined Heat and Power (CHP) Technical Renovation Projects Based on the Improved Factor Analysis and Incremental Method in China," Sustainability, MDPI, vol. 11(19), pages 1-23, September.
    54. Ya Chen & Wade D. Cook & Juan Du & Hanhui Hu & Joe Zhu, 2017. "Bounded and discrete data and Likert scales in data envelopment analysis: application to regional energy efficiency in China," Annals of Operations Research, Springer, vol. 255(1), pages 347-366, August.
    55. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    56. Sueyoshi, Toshiyuki & Yuan, Yan, 2017. "Social sustainability measured by intermediate approach for DEA environmental assessment: Chinese regional planning for economic development and pollution prevention," Energy Economics, Elsevier, vol. 66(C), pages 154-166.
    57. Haider, Salman & Mishra, Prajna Paramita, 2021. "Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis," Energy Economics, Elsevier, vol. 95(C).
    58. Lei, Ming & Yin, Zihan & Yu, Xiaowen & Deng, Shijie, 2017. "Carbon-weighted economic development performance and driving force analysis: Evidence from China," Energy Policy, Elsevier, vol. 111(C), pages 179-192.
    59. Li, Ying & Chiu, Yung-ho & Lu, Liang Chun, 2018. "Energy and AQI performance of 31 cities in China," Energy Policy, Elsevier, vol. 122(C), pages 194-202.
    60. Zhu, Qingyuan & Xu, Shuqi & Sun, Jiasen & Li, Xingchen & Zhou, Dequn, 2022. "Energy efficiency evaluation of power supply system: A data-driven approach based on shared resources," Applied Energy, Elsevier, vol. 312(C).
    61. Meiling Wang & Silu Pang & Ikram Hmani & Ilham Hmani & Cunfang Li & Zhengxia He, 2021. "Towards sustainable development: How does technological innovation drive the increase in green total factor productivity?," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 217-227, January.
    62. Fang, Zhenming & Kong, Xiaoran & Sensoy, Ahmet & Cui, Xin & Cheng, Feiyang, 2021. "Government’s awareness of Environmental protection and corporate green innovation: A natural experiment from the new environmental protection law in China," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 294-312.
    63. Tao Li & Yimiao Song & Jing Shen, 2019. "Clean Power Dispatching of Coal-Fired Power Generation in China Based on the Production Cleanliness Evaluation Method," Sustainability, MDPI, vol. 11(23), pages 1-19, November.
    64. Yang, Guo-liang & Fukuyama, Hirofumi & Song, Yao-yao, 2019. "Estimating capacity utilization of Chinese manufacturing industries," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 94-110.
    65. Li, Hai-ling & Zhu, Xue-hong & Chen, Jin-yu & Jiang, Fei-tao, 2019. "Environmental regulations, environmental governance efficiency and the green transformation of China's iron and steel enterprises," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    66. Hwai-Shuh Shieh & Jin-Li Hu & Yong-Ze Ang, 2020. "Efficiency of Life Insurance Companies: An Empirical Study in Mainland China and Taiwan," SAGE Open, , vol. 10(1), pages 21582440209, February.
    67. Tang, Chang & Qi, Yu & Khan, Naqib Ullah & Tang, Ruwei & Xue, Yan, 2023. "Ultra-low emission standards and corporate production performance: Evidence from Chinese thermal power companies," Energy Policy, Elsevier, vol. 173(C).
    68. Chen, Hao & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2017. "Costs and potentials of energy conservation in China's coal-fired power industry: A bottom-up approach considering price uncertainties," Energy Policy, Elsevier, vol. 104(C), pages 23-32.
    69. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2017. "Environmental efficiency and abatement efficiency measurements of China¡¯s thermal power industry: A data envelopment analysis based materials balance approach," CEEP-BIT Working Papers 108, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    70. Yu, Yanni & Qian, Tao & Du, Limin, 2017. "Carbon productivity growth, technological innovation, and technology gap change of coal-fired power plants in China," Energy Policy, Elsevier, vol. 109(C), pages 479-487.
    71. Xie, Bai-Chen & Gao, Jie & Zhang, Shuang & Zhang, ZhongXiang, 2017. "What Factors Affect the Competiveness of Power Generation Sector in China? An Analysis Based on Game Cross-efficiency," MITP: Mitigation, Innovation and Transformation Pathways 254042, Fondazione Eni Enrico Mattei (FEEM).
    72. Wang, Derek D. & Sueyoshi, Toshiyuki, 2017. "Assessment of large commercial rooftop photovoltaic system installations: Evidence from California," Applied Energy, Elsevier, vol. 188(C), pages 45-55.
    73. Bu, Caiqi & Zhang, Kaixia & Shi, Daqian & Wang, Shuyu, 2022. "Does environmental information disclosure improve energy efficiency?," Energy Policy, Elsevier, vol. 164(C).
    74. Liu, Yaqin & Zhao, Guohao & Zhao, Yushan, 2016. "An analysis of Chinese provincial carbon dioxide emission efficiencies based on energy consumption structure," Energy Policy, Elsevier, vol. 96(C), pages 524-533.
    75. Tenente, Marcos & Henriques, Carla & da Silva, Patrícia Pereira, 2020. "Eco-efficiency assessment of the electricity sector: Evidence from 28 European Union countries," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 293-314.
    76. Kangjuan Lv & Anyu Yu & Yiwen Bian, 2017. "Regional energy efficiency and its determinants in China during 2001–2010: a slacks-based measure and spatial econometric analysis," Journal of Productivity Analysis, Springer, vol. 47(1), pages 65-81, February.
    77. Haider, Salman & Danish, Mohd Shadab & Sharma, Ruchi, 2019. "Assessing energy efficiency of Indian paper industry and influencing factors: A slack-based firm-level analysis," Energy Economics, Elsevier, vol. 81(C), pages 454-464.
    78. Mingyue Wang & Junbi Zhou & Xiaojin Xia & Zitong Wang, 2022. "The Mixed Impact of Environmental Regulations and External Financing Constraints on Green Technological Innovation of Enterprise," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
    79. Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Sahoo, Biresh K. & Mahanty, Biswajit, 2017. "Rationality of energy efficiency improvement targets under the PAT scheme in India – A case of thermal power plants," Energy Economics, Elsevier, vol. 66(C), pages 279-289.
    80. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Returns to damage under undesirable congestion and damages to return under desirable congestion measured by DEA environmental assessment with multiplier restriction: Economic and energy planning for s," Energy Economics, Elsevier, vol. 56(C), pages 288-309.
    81. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    82. Qingyou Yan & Xu Wang & Tomas Baležentis & Dalia Streimikiene, 2018. "Energy–economy–environmental (3E) performance of Chinese regions based on the data envelopment analysis model with mixed assumptions on disposability," Energy & Environment, , vol. 29(5), pages 664-684, August.
    83. Ying Feng & Ching-Cheng Lu & I-Fang Lin & An-Chi Yang & Po-Chun Lin, 2022. "Total Factor Energy Efficiency of China’s Thermal Power Industry," Sustainability, MDPI, vol. 14(1), pages 1-16, January.
    84. Juan J. Martínez Hernández & Patricia S. Sánchez‐Medina & René Díaz‐Pichardo, 2021. "Business‐oriented environmental regulation: Measurement and implications for environmental policy and business strategy from a sustainable development perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 507-521, January.
    85. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    86. Mingran Wu, 2023. "The impact of eco-environmental regulation on green energy efficiency in China - Based on spatial economic analysis," Energy & Environment, , vol. 34(4), pages 971-988, June.
    87. Lynes, Melissa & Brewer, Brady & Featherstone, Allen, 2016. "Greenhouse Gas Emissions Effect on Cost Efficiencies of U.S. Electric Power Plants," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235890, Agricultural and Applied Economics Association.
    88. Liu, Wei & Zhao, Zhihui & Wen, Zhao & Cheng, Shixiong, 2022. "Environmental regulation and OFDI: Evidence from Chinese listed firms," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 191-208.
    89. Ku-Hsieh Chen & Jen-Chi Cheng & Joe-Ming Lee & Liou-Yuan Li & Sheng-Yu Peng, 2020. "Energy Efficiency: Indicator, Estimation, and a New Idea," Sustainability, MDPI, vol. 12(12), pages 1-19, June.
    90. Wu, Haitao & Xu, Lina & Ren, Siyu & Hao, Yu & Yan, Guoyao, 2020. "How do energy consumption and environmental regulation affect carbon emissions in China? New evidence from a dynamic threshold panel model," Resources Policy, Elsevier, vol. 67(C).
    91. Yongrok Choi & Yunning Ma & Yu Zhao & Hyoungsuk Lee, 2023. "Inequality in Fossil Fuel Power Plants in China: A Perspective of Efficiency and Abatement Cost," Sustainability, MDPI, vol. 15(5), pages 1-15, March.
    92. Ma, Ding & Fei, Rilong & Yu, Yongsheng, 2019. "How government regulation impacts on energy and CO2 emissions performance in China's mining industry," Resources Policy, Elsevier, vol. 62(C), pages 651-663.
    93. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations," Energy Policy, Elsevier, vol. 108(C), pages 163-177.
    94. Singpai, Bodin & Wu, Desheng Dash, 2021. "An integrative approach for evaluating the environmental economic efficiency," Energy, Elsevier, vol. 215(PB).
    95. Prasad, Mousami & Mishra, Trupti, 2017. "Low-carbon growth for Indian iron and steel sector: exploring the role of voluntary environmental compliance," Energy Policy, Elsevier, vol. 100(C), pages 41-50.
    96. Zhaoqiang Zhong & Benhong Peng & Ehsan Elahi, 2021. "Spatial and temporal pattern evolution and influencing factors of energy–environmental efficiency: A case study of Yangtze River urban agglomeration in China," Energy & Environment, , vol. 32(2), pages 242-261, March.
    97. Li, Feng & Zhang, Danlu & Zhang, Jinyu & Kou, Gang, 2022. "Measuring the energy production and utilization efficiency of Chinese thermal power industry with the fixed-sum carbon emission constraint," International Journal of Production Economics, Elsevier, vol. 252(C).
    98. Zhigang Zhu & Xuping Zhang & Yujia Wang & Xiang Chen, 2021. "Energy Cost Performance of Thermal Power Industry in China Considering Regional Heterogeneity: A Meta-Frontier Cost Malmquist Productivity Decomposition Approach," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    99. Kounetas, Konstantinos & Stergiou, Eirini, 2019. "Technology heterogeneity in European industries' energy efficiency performance. The role of climate, greenhouse gases, path dependence and energy mix," MPRA Paper 92314, University Library of Munich, Germany.
    100. Yiwen Bian & Kangjuan Lv & Anyu Yu, 2017. "China’s regional energy and carbon dioxide emissions efficiency evaluation with the presence of recovery energy: an interval slacks-based measure approach," Annals of Operations Research, Springer, vol. 255(1), pages 301-321, August.
    101. Wang, Yangjie & Chen, Xiaohong & Ren, Shenggang, 2019. "Clean energy adoption and maternal health: Evidence from China," Energy Economics, Elsevier, vol. 84(C).
    102. Sueyoshi, Toshiyuki & Yuan, Yan, 2015. "Comparison among U.S. industrial sectors by DEA environmental assessment: Equipped with analytical capability to handle zero or negative in production factors," Energy Economics, Elsevier, vol. 52(PA), pages 69-86.
    103. Xionghe Qin & Yanming Sun, 2019. "Cross-Regional Comparative Study on Environmental–Economic Efficiency and Driving Forces behind Efficiency Improvement in China: A Multistage Perspective," IJERPH, MDPI, vol. 16(7), pages 1-21, March.
    104. Yan, Zheming & Zhou, Zicheng & Du, Kerui, 2023. "How does environmental regulatory stringency affect energy consumption? Evidence from Chinese firms," Energy Economics, Elsevier, vol. 118(C).
    105. Xie, Li & Li, Zexin & Ye, Xiuhua & Jiang, Yanru, 2021. "Environmental regulation and energy investment structure: Empirical evidence from China's power industry," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    106. Junfei Chu & Jie Wu & Qingyuan Zhu & Qingxian An & Beibei Xiong, 2019. "Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1263-1285, December.
    107. Qingyou Yan & Yaxian Wang & Tomas Baležentis & Yikai Sun & Dalia Streimikiene, 2018. "Energy-Related CO 2 Emission in China’s Provincial Thermal Electricity Generation: Driving Factors and Possibilities for Abatement," Energies, MDPI, vol. 11(5), pages 1-25, April.
    108. LU Guanyu & TANAKA Kenta & ARIMURA Toshi H., 2023. "The Impacts of the Tokyo and Saitama ETSs on the Energy Efficiency Performance of Manufacturing Facilities," Discussion papers 23007, Research Institute of Economy, Trade and Industry (RIETI).
    109. Lyu, Chaofeng & Xie, Zhe & Li, Zhi, 2022. "Market supervision, innovation offsets and energy efficiency: Evidence from environmental pollution liability insurance in China," Energy Policy, Elsevier, vol. 171(C).
    110. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.
    111. Zhao, Jing & Zhao, Ziru & Zhang, Huan, 2021. "The impact of growth, energy and financial development on environmental pollution in China: New evidence from a spatial econometric analysis," Energy Economics, Elsevier, vol. 93(C).
    112. Tianbo Tang & Jianxin You & Hui Sun & Hao Zhang, 2019. "Transportation Efficiency Evaluation Considering the Environmental Impact for China’s Freight Sector: A Parallel Data Envelopment Analysis," Sustainability, MDPI, vol. 11(18), pages 1-24, September.
    113. Song, Malin & Wang, Jianlin, 2018. "Environmental efficiency evaluation of thermal power generation in China based on a slack-based endogenous directional distance function model," Energy, Elsevier, vol. 161(C), pages 325-336.
    114. Li, Jianglong & Lin, Boqiang, 2017. "Ecological total-factor energy efficiency of China's heavy and light industries: Which performs better?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 83-94.
    115. Tingli Liu & Yu Fang & Qianqian Shi & Lei Ren, 2023. "Research on the Effect of the New Environmental Protection Law on the Market Competitiveness of China’s Heavily Polluting Enterprises," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    116. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.
    117. Yu, Yu & Wang, Derek D. & Li, Shanling & Shi, Qinfen, 2016. "Assessment of U.S. firm-level climate change performance and strategy," Energy Policy, Elsevier, vol. 92(C), pages 432-443.
    118. Woo, Chungwon & Chung, Yanghon & Chun, Dongphil & Seo, Hangyeol & Hong, Sungjun, 2015. "The static and dynamic environmental efficiency of renewable energy: A Malmquist index analysis of OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 367-376.
    119. Sun, Chuanwang & Liu, Xiaohong & Li, Aijun, 2018. "Measuring unified efficiency of Chinese fossil fuel power plants: Intermediate approach combined with group heterogeneity and window analysis," Energy Policy, Elsevier, vol. 123(C), pages 8-18.
    120. Liu, Xiaoguang & Ji, Qiang & Yu, Jian, 2021. "Sustainable development goals and firm carbon emissions: Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 103(C).
    121. Guo, Ran & Yuan, Yijun, 2020. "Different types of environmental regulations and heterogeneous influence on energy efficiency in the industrial sector: Evidence from Chinese provincial data," Energy Policy, Elsevier, vol. 145(C).
    122. Weibin Lin & Bin Chen & Lina Xie & Haoran Pan, 2015. "Estimating Energy Consumption of Transport Modes in China Using DEA," Sustainability, MDPI, vol. 7(4), pages 1-15, April.
    123. Qingyou Yan & Youwei Wan & Jingye Yuan & Jieting Yin & Tomas Baležentis & Dalia Streimikiene, 2017. "Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities," Energies, MDPI, vol. 10(9), pages 1-19, September.
    124. Wang, Ke & Wang, Shanshan & Liu, Lei & Yue, Hui & Zhang, Ruiqin & Tang, Xiaoyan, 2016. "Environmental co-benefits of energy efficiency improvement in coal-fired power sector: A case study of Henan Province, China," Applied Energy, Elsevier, vol. 184(C), pages 810-819.
    125. Nihal Ahmed & Franklin Ore Areche & Dante Daniel Cruz Nieto & Ricardo Fernando Cosio Borda & Berenice Cajavilca Gonzales & Piotr Senkus & Paweł Siemiński & Adam Skrzypek, 2022. "Nexus between Cyclical Innovation in Green Technologies and CO 2 Emissions in Nordic Countries: Consent toward Environmental Sustainability," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    126. Liu, Chang & Hong, Tao & Li, Huaifeng & Wang, Lili, 2018. "From club convergence of per capita industrial pollutant emissions to industrial transfer effects: An empirical study across 285 cities in China," Energy Policy, Elsevier, vol. 121(C), pages 300-313.
    127. Atems, Bebonchu & Mette, Jehu & Lin, Guoyu & Madraki, Golshan, 2023. "Estimating and forecasting the impact of nonrenewable energy prices on US renewable energy consumption," Energy Policy, Elsevier, vol. 173(C).
    128. Jindal, Abhinav & Nilakantan, Rahul, 2021. "Falling efficiency levels of Indian coal-fired power plants: A slacks-based analysis," Energy Economics, Elsevier, vol. 93(C).
    129. Yalei Fei & Gongbing Bi & Wen Song & Yan Luo, 2019. "Measuring the Efficiency of Two-Stage Production Process in the Presence of Undesirable Outputs," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1343-1358, December.
    130. Kai He & Nan Zhu & Wu Jiang & Chuanjin Zhu, 2022. "Efficiency Evaluation of Chinese Provincial Industrial System Based on Network DEA Method," Sustainability, MDPI, vol. 14(9), pages 1-24, April.
    131. Anzhelika Pirmamedovna Karaeva & Elena Romenovna Magaril & Andrey Vladimirovich Kiselev & Lucian-Ionel Cioca, 2022. "Screening of Factors for Assessing the Environmental and Economic Efficiency of Investment Projects in the Energy Sector," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    132. Du, Minzhe & Liu, Yunxiao & Wang, Bing & Lee, Myunghun & Zhang, Ning, 2021. "The sources of regulated productivity in Chinese power plants: An estimation of the restricted cost function combined with DEA approach," Energy Economics, Elsevier, vol. 100(C).
    133. Zhang, Lin & Zhao, Linlin & Zha, Yong, 2021. "Efficiency evaluation of Chinese regional industrial systems using a dynamic two-stage DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    134. Du, Huibin & Matisoff, Daniel C. & Wang, Yangyang & Liu, Xi, 2016. "Understanding drivers of energy efficiency changes in China," Applied Energy, Elsevier, vol. 184(C), pages 1196-1206.
    135. Li, Mengjie & Du, Weijian, 2022. "Opening the black box of capacity governance: Environmental regulation and capacity utilization of microcosmic firms in China," Economic Modelling, Elsevier, vol. 108(C).
    136. Shuping Cheng & Lingjie Meng & Weizhong Wang, 2022. "The Impact of Environmental Regulation on Green Energy Technology Innovation—Evidence from China," Sustainability, MDPI, vol. 14(14), pages 1-23, July.
    137. Junfeng Zhang & Hong Fang & Bo Peng & Xu Wang & Siran Fang, 2016. "Productivity Growth-Accounting for Undesirable Outputs and Its Influencing Factors: The Case of China," Sustainability, MDPI, vol. 8(11), pages 1-13, November.
    138. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
    139. Tao Xu & Jianxin You & Hui Li & Luning Shao, 2020. "Energy Efficiency Evaluation Based on Data Envelopment Analysis: A Literature Review," Energies, MDPI, vol. 13(14), pages 1-20, July.
    140. Zhang, Dongyang, 2021. "Marketization, environmental regulation, and eco-friendly productivity: A Malmquist–Luenberger index for pollution emissions of large Chinese firms," Journal of Asian Economics, Elsevier, vol. 76(C).
    141. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "Environmental assessment for corporate sustainability by resource utilization and technology innovation: DEA radial measurement on Japanese industrial sectors," Energy Economics, Elsevier, vol. 46(C), pages 295-307.
    142. Ben Abdallah, Khaled & Belloumi, Mounir & De Wolf, Daniel, 2015. "International comparisons of energy and environmental efficiency in the road transport sector," Energy, Elsevier, vol. 93(P2), pages 2087-2101.
    143. Liang Chun Lu & Yung-ho Chiu & Shih-Yung Chiu & Tzu-Han Chang, 2022. "Do Forests help environmental development of Cities in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6602-6629, May.
    144. Xie, Bai-Chen & Gao, Jie & Zhang, Shuang & Pang, Rui-Zhi & Zhang, ZhongXiang, 2018. "The environmental efficiency analysis of China’s power generation sector based on game cross-efficiency approach," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 126-135.
    145. Yue Xu & Zebin Wang & Yung-Ho Chiu & Fangrong Ren, 2020. "Research on energy-saving and emissions reduction efficiency in Chinese thermal power companies," Energy & Environment, , vol. 31(5), pages 903-919, August.
    146. Fan, Jing-Li & Zhang, Hao & Zhang, Xian, 2020. "Unified efficiency measurement of coal-fired power plants in China considering group heterogeneity and technological gaps," Energy Economics, Elsevier, vol. 88(C).
    147. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    148. Fangyu Ju & Mengfan Ke, 2022. "The Spatial Spillover Effects of Environmental Regulation and Regional Energy Efficiency and Their Interactions under Local Government Competition in China," Sustainability, MDPI, vol. 14(14), pages 1-27, July.
    149. Zhang, Ning & Huang, Xuhui & Qi, Chao, 2022. "The effect of environmental regulation on the marginal abatement cost of industrial firms: Evidence from the 11th Five-Year Plan in China," Energy Economics, Elsevier, vol. 112(C).
    150. Sueyoshi, Toshiyuki & Wang, Derek, 2017. "Measuring scale efficiency and returns to scale on large commercial rooftop photovoltaic systems in California," Energy Economics, Elsevier, vol. 65(C), pages 389-398.
    151. Fang Zhang & Hong Fang & Junjie Wu & Damian Ward, 2016. "Environmental Efficiency Analysis of Listed Cement Enterprises in China," Sustainability, MDPI, vol. 8(5), pages 1-19, May.
    152. Qian, Xiangyan & Wang, Di & Wang, Jia & Chen, Sai, 2021. "Resource curse, environmental regulation and transformation of coal-mining cities in China," Resources Policy, Elsevier, vol. 74(C).

  100. Zhang, Huiming & Li, Lianshui & Zhou, Dequn & Zhou, Peng, 2014. "Political connections, government subsidies and firm financial performance: Evidence from renewable energy manufacturing in China," Renewable Energy, Elsevier, vol. 63(C), pages 330-336.

    Cited by:

    1. Fan, Xiao-chao & Wang, Wei-qing, 2016. "Spatial patterns and influencing factors of China׳s wind turbine manufacturing industry: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 482-496.
    2. Fan, Ruguo & Dong, Lili, 2018. "The dynamic analysis and simulation of government subsidy strategies in low-carbon diffusion considering the behavior of heterogeneous agents," Energy Policy, Elsevier, vol. 117(C), pages 252-262.
    3. Wang, Ying & Wang, Yong & Shahbaz, Muhammad, 2023. "How does digital economy affect energy poverty? Analysis from the global perspective," Energy, Elsevier, vol. 282(C).
    4. Bongsuk Sung & Woo-Yong Song, 2021. "Are Political Factors More Relevant Than Economic Factors in Firm-Level Renewable Energy Technology Export? Evidence from Path Analysis," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    5. Schabek, Tomasz, 2020. "The financial performance of sustainable power producers in emerging markets," Renewable Energy, Elsevier, vol. 160(C), pages 1408-1419.
    6. Di Tian & Xiaohan Guo & Peng Wang, 2021. "Innovation Vouchers and the Sustainable Growth of High-Tech SMEs: Evidence from China," Sustainability, MDPI, vol. 13(20), pages 1-17, October.
    7. Yu, Feifei & Guo, Yue & Le-Nguyen, Khuong & Barnes, Stuart J. & Zhang, Weiting, 2016. "The impact of government subsidies and enterprises’ R&D investment: A panel data study from renewable energy in China," Energy Policy, Elsevier, vol. 89(C), pages 106-113.
    8. Chang, Kai & Xue, Chenqi & Zhang, Huijia & Zeng, Yonghong, 2022. "The effects of green fiscal policies and R&D investment on a firm's market value: New evidence from the renewable energy industry in China," Energy, Elsevier, vol. 251(C).
    9. Wu, Ting & Yang, Shuwang & Tan, Jingjing, 2020. "Impacts of government R&D subsidies on venture capital and renewable energy investment -- an empirical study in China," Resources Policy, Elsevier, vol. 68(C).
    10. Li, Xiao-Lin & Li, Jingya & Wang, Jia & Si, Deng-Kui, 2021. "Trade policy uncertainty, political connection and government subsidy: Evidence from Chinese energy firms," Energy Economics, Elsevier, vol. 99(C).
    11. Andreas Eder & Bernhard Mahlberg, 2018. "Size, Subsidies and Technical Efficiency in Renewable Energy Production: The Case of Austrian Biogas Plants," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    12. Rui Wang & Yi-Na Li & Jiuchang Wei, 2022. "Growing in the changing global landscape: the intangible resources and performance of high-tech corporates," Asia Pacific Journal of Management, Springer, vol. 39(3), pages 999-1022, September.
    13. Luan, Ranran & Lin, Boqiang, 2022. "Positive or negative? Study on the impact of government subsidy on the business performance of China's solar photovoltaic industry," Renewable Energy, Elsevier, vol. 189(C), pages 1145-1153.
    14. Zhenji Jin & Yue Shang & Jian Xu, 2018. "The Impact of Government Subsidies on Private R&D and Firm Performance: Does Ownership Matter in China’s Manufacturing Industry?," Sustainability, MDPI, vol. 10(7), pages 1-20, June.
    15. Yu, Xiaojun & Yao, Yao & Zheng, Huanhuan & Zhang, Lin, 2020. "The role of political connection on overinvestment of Chinese energy firms," Energy Economics, Elsevier, vol. 85(C).
    16. Bai, Rui & Lin, Boqiang & Liu, Xiying, 2021. "Government subsidies and firm-level renewable energy investment: New evidence from partially linear functional-coefficient models," Energy Policy, Elsevier, vol. 159(C).
    17. Hu, Jinshuai & Jiang, Haiyan & Holmes, Mark, 2019. "Government subsidies and corporate investment efficiency: Evidence from China," Emerging Markets Review, Elsevier, vol. 41(C).
    18. Zhifang Zhou & Hong Zhou & Huixiang Zeng & Xiaohong Chen, 2018. "The impact of water information disclosure on the cost of capital: An empirical study of China's capital market," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 25(6), pages 1332-1349, November.
    19. Manzhi Liu & Liyuan Liu & Shichun Xu & Mingwei Du & Xianxian Liu & Yanqin Zhang, 2019. "The Influences of Government Subsidies on Performance of New Energy Firms: A Firm Heterogeneity Perspective," Sustainability, MDPI, vol. 11(17), pages 1-20, August.
    20. Liping Wu & Kai Hu & Oleksii Lyulyov & Tetyana Pimonenko & Ishfaq Hamid, 2022. "The Impact of Government Subsidies on Technological Innovation in Agribusiness: The Case for China," Sustainability, MDPI, vol. 14(21), pages 1-15, October.
    21. Zhang, Dongyang & Zhuge, Liqun & Freeman, Richard B., 2020. "Firm dynamics of hi-tech start-ups: Does innovation matter?," China Economic Review, Elsevier, vol. 59(C).
    22. Bongsuk Sung & Myoung Shik Choi & Woo-Yong Song, 2019. "Exploring the Effects of Government Policies on Economic Performance: Evidence Using Panel Data for Korean Renewable Energy Technology Firms," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    23. Wu, Yilin & Huang, Shilei, 2022. "The effects of digital finance and financial constraint on financial performance: Firm-level evidence from China's new energy enterprises," Energy Economics, Elsevier, vol. 112(C).
    24. Nguyen, Hoai Thu Thi & Vu, Huong Van & Bartolacci, Francesca & Quang Tran, Tuyen, 2018. "Government Support and Firm Performance in Vietnam," MPRA Paper 93599, University Library of Munich, Germany, revised 12 Nov 2018.
    25. Xu, Li & Zhang, Qin & Wang, Keying & Shi, Xunpeng, 2020. "Subsidies, loans, and companies' performance: evidence from China's photovoltaic industry," Applied Energy, Elsevier, vol. 260(C).
    26. Wang, Xiaozhen & Zou, Honghui, 2018. "Study on the effect of wind power industry policy types on the innovation performance of different ownership enterprises: Evidence from China," Energy Policy, Elsevier, vol. 122(C), pages 241-252.
    27. Piaopeng Song & Yuxiao Gu & Bin Su & Arifa Tanveer & Qiao Peng & Weijun Gao & Shaomin Wu & Shihong Zeng, 2023. "The Impact of Green Technology Research and Development (R&D) Investment on Performance: A Case Study of Listed Energy Companies in Beijing, China," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    28. Jian Xu & Feng Liu & You-hua Chen, 2019. "R&D, Advertising and Firms’ Financial Performance in South Korea: Does Firm Size Matter?," Sustainability, MDPI, vol. 11(14), pages 1-16, July.
    29. Huong, Vu Van & Cuong, Ly Kim, 2019. "Does government support promote SME tax payments? New evidence from Vietnam," Finance Research Letters, Elsevier, vol. 31(C).
    30. Huanyong Ji & Guannan Xu & Yuan Zhou & Zhongzhen Miao, 2019. "The Impact of Corporate Social Responsibility on Firms’ Innovation in China: The Role of Institutional Support," Sustainability, MDPI, vol. 11(22), pages 1-20, November.
    31. Zhang, Wenwen & Chiu, Yi-Bin & Hsiao, Cody Yu-Ling, 2022. "Effects of country risks and government subsidies on renewable energy firms’ performance: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    32. Liu, Yong & Du, Jun-liang & Yang, Jin-bi & Qian, Wu-yong & Forrest, Jeffrey Yi-Lin, 2019. "An incentive mechanism for general purpose technologies R&D based on the concept of super-conflict equilibrium: Empirical evidence from nano industrial technology in China," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 185-197.
    33. Chang, Kai & Wan, Qiong & Lou, Qichun & Chen, Yili & Wang, Weihong, 2020. "Green fiscal policy and firms’ investment efficiency: New insights into firm-level panel data from the renewable energy industry in China," Renewable Energy, Elsevier, vol. 151(C), pages 589-597.
    34. Qi, Xiaoyan & Guo, Yanshan & Guo, Pibin & Yao, Xilong & Liu, Xiuli, 2022. "Do subsidies and R&D investment boost energy transition performance? Evidence from Chinese renewable energy firms," Energy Policy, Elsevier, vol. 164(C).
    35. Chiara Modanese & Hannu S. Laine & Toni P. Pasanen & Hele Savin & Joshua M. Pearce, 2018. "Economic Advantages of Dry-Etched Black Silicon in Passivated Emitter Rear Cell (PERC) Photovoltaic Manufacturing," Energies, MDPI, vol. 11(9), pages 1-18, September.
    36. Kassouri, Yacouba & Altuntaş, Mehmet & Alola, Andrew Adewale, 2022. "The contributory capacity of natural capital to energy transition in the European Union," Renewable Energy, Elsevier, vol. 190(C), pages 617-629.
    37. Ajaya Kumar Panda & Swagatika Nanda & Pradiptarathi Panda, 2021. "Working Capital Management, Macroeconomic Impacts, and Firm Profitability: Evidence from Indian SMEs," Business Perspectives and Research, , vol. 9(1), pages 144-158, January.
    38. Ting Wang & Rujun Wang & Hua Zhang, 2022. "Does Industrial Policy Reduce Corporate Investment Efficiency? Evidence from China," Sustainability, MDPI, vol. 15(1), pages 1-23, December.
    39. Xin Ma & Hong Jiang & Lijuan Tong & Jingyi Zhang & Mengyuan Dong, 2023. "Sustainability of the New Energy Automobile Industry: Examining the Relationship among Government Subsidies, R&D Intensity, and Innovation Performance," Sustainability, MDPI, vol. 15(20), pages 1-16, October.
    40. Shahbaz, Muhammad & Wang, Jianda & Dong, Kangyin & Zhao, Jun, 2022. "The impact of digital economy on energy transition across the globe: The mediating role of government governance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    41. Chang, Rui-Dong & Zuo, Jian & Zhao, Zhen-Yu & Zillante, George & Gan, Xiao-Long & Soebarto, Veronica, 2017. "Evolving theories of sustainability and firms: History, future directions and implications for renewable energy research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 48-56.
    42. Wu, Aihua, 2017. "The signal effect of Government R&D Subsidies in China: Does ownership matter?," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 339-345.
    43. Sung, Bongsuk & Soh, Jin Young & Park, Chun Gun, 2022. "Comparing government support, firm heterogeneity, and inter-firm spillovers for productivity enhancement: Evidence from the Korean solar energy technology industry," Energy, Elsevier, vol. 246(C).
    44. Teodor HADA & Nicoleta BARBUTA-MISU & Teodora Maria AVRAM, 2016. "Financial CEMATT Method: a New Approach for Performance Assessment using Accounting Information," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 10-17.
    45. Shen, Huayu & Hou, Fei, 2021. "Trade policy uncertainty and corporate innovation evidence from Chinese listed firms in new energy vehicle industry," Energy Economics, Elsevier, vol. 97(C).
    46. Gupeng Zhang & Qianlong Zhang & Dujuan Huang, 2020. "Impact of Political Connection Strength on the Internationalization Outcome of Chinese Firms: Perspectives from Market Exploration and Technology Acquisition," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    47. Yu, Feifei & Wang, Liting & Li, Xiaotong, 2020. "The effects of government subsidies on new energy vehicle enterprises: The moderating role of intelligent transformation," Energy Policy, Elsevier, vol. 141(C).
    48. Candy Lim Chiu & Jingxin Zhang & Mingrui Li & Siyu Wei & Shengnan Xu & Xiaotong Chai, 2020. "A study of environmental disclosures practices in Chinese energy industry," Asian Journal of Sustainability and Social Responsibility, Springer, vol. 5(1), pages 1-21, December.
    49. Shiyuan Liu & Jiang Du & Weike Zhang & Xiaoli Tian, 2021. "Opening the box of subsidies: which is more effective for innovation?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 421-449, September.
    50. Pan, Xianyou & Yuan, Ge & Wu, Xianhua & Xie, Pinjie, 2023. "The effects of government subsidies on the economic profits of hydrogen energy enterprises – An analysis based on A-share listed enterprises in China," Renewable Energy, Elsevier, vol. 211(C), pages 445-451.
    51. Jin, Jingliang & Zhou, Dequn & Zhou, Peng & Miao, Zhuang, 2014. "Environmental/economic power dispatch with wind power," Renewable Energy, Elsevier, vol. 71(C), pages 234-242.
    52. Yao, Xing & Fan, Ying & Zhu, Lei & Zhang, Xian, 2020. "Optimization of dynamic incentive for the deployment of carbon dioxide removal technology: A nonlinear dynamic approach combined with real options," Energy Economics, Elsevier, vol. 86(C).
    53. Lihong Wang & Philip T. Lin, 2017. "Who benefits from political connections? Minority investors or controlling shareholders," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 24(1-2), pages 1-22, April.
    54. Nguyen Trong, Co & Vu Van, Huong & Bartolacci, Francesca, 2017. "Government support and firm financial performance: New evidence from a transitional economy," MPRA Paper 81752, University Library of Munich, Germany.
    55. Yang Songling & Muhammad Ishtiaq & Muhammad Anwar & Hamid Ahmed, 2018. "The Role of Government Support in Sustainable Competitive Position and Firm Performance," Sustainability, MDPI, vol. 10(10), pages 1-17, September.
    56. Boute, Anatole & Zhikharev, Alexey, 2019. "Vested interests as driver of the clean energy transition: Evidence from Russia's solar energy policy," Energy Policy, Elsevier, vol. 133(C).
    57. Zhang, Yanfang & Zhang, Ming & Liu, Yue & Nie, Rui, 2017. "Enterprise investment, local government intervention and coal overcapacity: The case of China," Energy Policy, Elsevier, vol. 101(C), pages 162-169.
    58. Tariq H. Ismail & Mohamed El-Deeb & Yasser Tawfik Halim, 2022. "Do related party transactions affect the relationship between political connections and firm value? Evidence from Egypt," Future Business Journal, Springer, vol. 8(1), pages 1-12, December.
    59. Ye Feng & Hsing Hung Chen & Jian Tang, 2018. "The Impacts of Social Responsibility and Ownership Structure on Sustainable Financial Development of China’s Energy Industry," Sustainability, MDPI, vol. 10(2), pages 1-15, January.
    60. Muhammad Anwar & Shuangjie Li, 2021. "Spurring competitiveness, financial and environmental performance of SMEs through government financial and non-financial support," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7860-7882, May.
    61. Nicoleta Bărbuță-Mișu & Mara Madaleno & Vasile Ilie, 2019. "Analysis of Risk Factors Affecting Firms’ Financial Performance—Support for Managerial Decision-Making," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
    62. Lin, Boqiang & He, Jiaxin, 2016. "Learning curves for harnessing biomass power: What could explain the reduction of its cost during the expansion of China?," Renewable Energy, Elsevier, vol. 99(C), pages 280-288.
    63. Zhang, Wenwen & Chiu, Yi-Bin, 2023. "Country risks, government subsidies, and Chinese renewable energy firm performance: New evidence from a quantile regression," Energy Economics, Elsevier, vol. 119(C).

  101. Wang, Q.W. & Zhou, P. & Shen, N. & Wang, S.S., 2013. "Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 324-330.

    Cited by:

    1. Zhao, Yu & Zhong, Honglin & Kong, Fanbin & Zhang, Ning, 2023. "Can China achieve carbon neutrality without power shortage? A substitutability perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    2. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    3. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    4. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    5. Tan, Xiujie & Choi, Yongrok & Wang, Banban & Huang, Xiaoqi, 2020. "Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    6. Zhou, Yang & Liu, Yansui & Wu, Wenxiang & Li, Yurui, 2015. "Effects of rural–urban development transformation on energy consumption and CO2 emissions: A regional analysis in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 863-875.
    7. Wu, Feng & Huang, Ningyu & Zhang, Fan & Niu, Lulu & Zhang, Yali, 2020. "Analysis of the carbon emission reduction potential of China's key industries under the IPCC 2 °C and 1.5 °C limits," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    8. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
    9. Emrouznejad, Ali & Yang, Guo-liang, 2016. "A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries," Energy, Elsevier, vol. 115(P1), pages 840-856.
    10. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
    11. Huimin Zhou & Pei Wang & Chengxin Wang & Xiangzheng Deng & Kai Liu, 2019. "Investigation of a spatial coupling relationship between carbon emission performance and regional urbanization in China," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-22, September.
    12. Yabo Zhao & Shaojian Wang, 2015. "The Relationship between Urbanization, Economic Growth and Energy Consumption in China: An Econometric Perspective Analysis," Sustainability, MDPI, vol. 7(5), pages 1-19, May.
    13. Li, Jianglong & Lin, Boqiang, 2017. "Does energy and CO2 emissions performance of China benefit from regional integration?," Energy Policy, Elsevier, vol. 101(C), pages 366-378.
    14. Dong, Feng & Li, Xiaohui & Long, Ruyin & Liu, Xiaoyan, 2013. "Regional carbon emission performance in China according to a stochastic frontier model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 525-530.
    15. Wang, Shaojian & Liu, Xiaoping & Zhou, Chunshan & Hu, Jincan & Ou, Jinpei, 2017. "Examining the impacts of socioeconomic factors, urban form, and transportation networks on CO2 emissions in China’s megacities," Applied Energy, Elsevier, vol. 185(P1), pages 189-200.
    16. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    17. Zhang, Yue-Jun & Peng, Hua-Rong & Liu, Zhao & Tan, Weiping, 2015. "Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach," Energy Policy, Elsevier, vol. 87(C), pages 303-313.
    18. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    19. Yang, Guo-liang & Fukuyama, Hirofumi, 2018. "Measuring the Chinese regional production potential using a generalized capacity utilization indicator," Omega, Elsevier, vol. 76(C), pages 112-127.
    20. Lin, Boqiang & Du, Kerui, 2015. "Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach," Energy Economics, Elsevier, vol. 49(C), pages 550-557.
    21. Xu, Le & Fan, Meiting & Yang, Lili & Shao, Shuai, 2021. "Heterogeneous green innovations and carbon emission performance: Evidence at China's city level," Energy Economics, Elsevier, vol. 99(C).
    22. Qian Wang & Duo Li & Tzu-Han Chang, 2019. "Energy and Health Efficiencies in China with the Inclusion of Technological Innovation," IJERPH, MDPI, vol. 16(21), pages 1-20, October.
    23. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    24. Yang, Tian-Jian & Zhang, Yue-Jun & Tang, Su & Zhang, Jing, 2016. "How to assess and manage energy performance of numerous telecommunication base stations: Evidence in China," Applied Energy, Elsevier, vol. 164(C), pages 436-445.
    25. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    26. Du, Huibin & Chen, Zhenni & Peng, Binbin & Southworth, Frank & Ma, Shoufeng & Wang, Yuan, 2019. "What drives CO2 emissions from the transport sector? A linkage analysis," Energy, Elsevier, vol. 175(C), pages 195-204.
    27. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    28. Liangen Zeng & Haiyan Lu & Yenping Liu & Yang Zhou & Haoyu Hu, 2019. "Analysis of Regional Differences and Influencing Factors on China’s Carbon Emission Efficiency in 2005–2015," Energies, MDPI, vol. 12(16), pages 1-21, August.
    29. Gozgor, Giray & Can, Muhlis, 2016. "Does Export Product Quality Matter for CO2 Emissions? Evidence from China," MPRA Paper 71873, University Library of Munich, Germany.
    30. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    31. Yang, Zhenbing & Shao, Shuai & Yang, Lili & Liu, Jianghua, 2017. "Differentiated effects of diversified technological sources on energy-saving technological progress: Empirical evidence from China's industrial sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1379-1388.
    32. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
    33. Senchang Hu & Shaoyi Li & Xiangxin Meng & Yingzheng Peng & Wenzhe Tang, 2023. "Study on Regional Differences of Carbon Emission Efficiency: Evidence from Chinese Construction Industry," Energies, MDPI, vol. 16(19), pages 1-20, September.
    34. Honma, Satoshi & Ushifusa, Yoshiaki & Okamura, Soyoka & Vandercamme, Lilu, 2023. "Measuring carbon emissions performance of Japan's metal industry: Energy inputs, agglomeration, and the potential for green recovery reduction," Resources Policy, Elsevier, vol. 82(C).
    35. Kuang, Yunming & Lin, Boqiang, 2022. "Natural gas resource utilization, environmental policy and green economic development: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    36. Huan Zhang & Kangning Xu, 2016. "Impact of Environmental Regulation and Technical Progress on Industrial Carbon Productivity: An Approach Based on Proxy Measure," Sustainability, MDPI, vol. 8(8), pages 1-15, August.
    37. Wan-Jiun Chen, 2022. "Toward Sustainability: Dynamics of Total Carbon Dioxide Emissions, Aggregate Income, Non-Renewable Energy, and Renewable Power," Sustainability, MDPI, vol. 14(5), pages 1-27, February.
    38. Kristian Skånberg & Åsa Svenfelt, 2022. "Expanding the IPAT identity to quantify backcasting sustainability scenarios," Futures & Foresight Science, John Wiley & Sons, vol. 4(2), June.
    39. Ma-Lin Song & Yuan-Xiang Zhou, 2015. "Analysis of Carbon Emissions and Their Influence Factors Based on Data from Anhui of China," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 359-374, October.
    40. Le Yang & Zhongqi Liang & Wentao Yao & Hongmin Zhu & Liangen Zeng & Zihan Zhao, 2023. "What Are the Impacts of Urbanisation on Carbon Emissions Efficiency? Evidence from Western China," Land, MDPI, vol. 12(9), pages 1-18, August.
    41. Fang, Chuanglin & Wang, Shaojian & Li, Guangdong, 2015. "Changing urban forms and carbon dioxide emissions in China: A case study of 30 provincial capital cities," Applied Energy, Elsevier, vol. 158(C), pages 519-531.
    42. Wang, Shaojian & Fang, Chuanglin & Guan, Xingliang & Pang, Bo & Ma, Haitao, 2014. "Urbanisation, energy consumption, and carbon dioxide emissions in China: A panel data analysis of China’s provinces," Applied Energy, Elsevier, vol. 136(C), pages 738-749.
    43. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    44. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    45. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    46. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.

  102. Zhou, P. & Zhang, L. & Zhou, D.Q. & Xia, W.J., 2013. "Modeling economic performance of interprovincial CO2 emission reduction quota trading in China," Applied Energy, Elsevier, vol. 112(C), pages 1518-1528.

    Cited by:

    1. Chang, Kai & Pei, Ping & Zhang, Chao & Wu, Xin, 2017. "Exploring the price dynamics of CO2 emissions allowances in China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 67(C), pages 213-223.
    2. Lu, Shibao & Wang, Jianhua & Shang, Yizi & Bao, Haijun & Chen, Huixiong, 2017. "Potential assessment of optimizing energy structure in the city of carbon intensity target," Applied Energy, Elsevier, vol. 194(C), pages 765-773.
    3. Huang, Hai & Roland-Holst, David & Springer, Cecilia & Lin, Jiang & Cai, Wenjia & Wang, Can, 2019. "Emissions trading systems and social equity: A CGE assessment for China," Applied Energy, Elsevier, vol. 235(C), pages 1254-1265.
    4. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    5. Qunli Wu & Hongjie Zhang, 2019. "Research on Optimization Allocation Scheme of Initial Carbon Emission Quota from the Perspective of Welfare Effect," Energies, MDPI, vol. 12(11), pages 1-27, June.
    6. Zhang, Xiao-Bing & Xu, Jing, 2018. "Optimal policies for climate change: A joint consideration of CO2 and methane," Applied Energy, Elsevier, vol. 211(C), pages 1021-1029.
    7. Shaofu Du & Jun Qian & Tianzhuo Liu & Li Hu, 2020. "Emission allowance allocation mechanism design: a low-carbon operations perspective," Annals of Operations Research, Springer, vol. 291(1), pages 247-280, August.
    8. Chuyu Xia & Yan Li & Yanmei Ye & Zhou Shi & Jingming Liu, 2017. "Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province," Energies, MDPI, vol. 10(11), pages 1-16, October.
    9. Qiongzhi Liu & Jun Hao, 2022. "Regional Differences and Influencing Factors of Carbon Emission Efficiency in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(8), pages 1-15, April.
    10. Hongbo Duan, Lei Zhu, Gürkan Kumbaroglu, and Ying Fan, 2016. "Regional Opportunities for China To Go Low-Carbon: Results from the REEC Model," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    11. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    12. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    13. Laura Rodríguez-Fernández & Ana Belén Fernández Carvajal & María Bujidos-Casado, 2020. "Allocation of Greenhouse Gas Emissions Using the Fairness Principle: A Multi-Country Analysis," Sustainability, MDPI, vol. 12(14), pages 1-15, July.
    14. Tang, Ling & Shi, Jiarui & Bao, Qin, 2016. "Designing an emissions trading scheme for China with a dynamic computable general equilibrium model," Energy Policy, Elsevier, vol. 97(C), pages 507-520.
    15. Minxing Jiang & Bangzhu Zhu & Julien Chevallier & Rui Xie, 2018. "Allocating Provincial CO2 Quotas for the Chinese National Carbon Program," Working Papers 2018-010, Department of Research, Ipag Business School.
    16. Tan, Qinliang & Ding, Yihong & Ye, Qi & Mei, Shufan & Zhang, Yimei & Wei, Yongmei, 2019. "Optimization and evaluation of a dispatch model for an integrated wind-photovoltaic-thermal power system based on dynamic carbon emissions trading," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    17. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.
    18. Zhang, Xu & Qi, Tian-yu & Ou, Xun-min & Zhang, Xi-liang, 2017. "The role of multi-region integrated emissions trading scheme: A computable general equilibrium analysis," Applied Energy, Elsevier, vol. 185(P2), pages 1860-1868.
    19. Wang, M. & Zhou, P., 2017. "Does emission permit allocation affect CO2 cost pass-through? A theoretical analysis," Energy Economics, Elsevier, vol. 66(C), pages 140-146.
    20. Guoyu Wang & Jinsheng Zhou, 2022. "Multiobjective Optimization of Carbon Emission Reduction Responsibility Allocation in the Open-Pit Mine Production Process against the Background of Peak Carbon Dioxide Emissions," Sustainability, MDPI, vol. 14(15), pages 1-21, August.
    21. Zhang, Yue-Jun & Liang, Ting & Jin, Yan-Lin & Shen, Bo, 2020. "The impact of carbon trading on economic output and carbon emissions reduction in China’s industrial sectors," Applied Energy, Elsevier, vol. 260(C).
    22. Zhao, Xin-gang & Jiang, Gui-wu & Nie, Dan & Chen, Hao, 2016. "How to improve the market efficiency of carbon trading: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1229-1245.
    23. Cui, Lian-Biao & Fan, Ying & Zhu, Lei & Bi, Qing-Hua, 2014. "How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target?," Applied Energy, Elsevier, vol. 136(C), pages 1043-1052.
    24. Sun, J. & Wen, W. & Wang, M. & Zhou, P., 2022. "Optimizing the provincial target allocation scheme of renewable portfolio standards in China," Energy, Elsevier, vol. 250(C).
    25. Pan, Xunzhang & Teng, Fei & Ha, Yuejiao & Wang, Gehua, 2014. "Equitable Access to Sustainable Development: Based on the comparative study of carbon emission rights allocation schemes," Applied Energy, Elsevier, vol. 130(C), pages 632-640.
    26. Di Maria, Corrado & Zarkovic, Maja & Hintermann, Beat, 2020. "Are Emissions Trading Schemes Cost-effective?," Working papers 2020/13, Faculty of Business and Economics - University of Basel.
    27. Shixiong Cheng & Wei Liu & Kai Lu, 2018. "Economic Growth Effect and Optimal Carbon Emissions under China’s Carbon Emissions Reduction Policy: A Time Substitution DEA Approach," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    28. Feng, Chenpeng & Chu, Feng & Ding, Jingjing & Bi, Gongbing & Liang, Liang, 2015. "Carbon Emissions Abatement (CEA) allocation and compensation schemes based on DEA," Omega, Elsevier, vol. 53(C), pages 78-89.
    29. Chen, Zhenling & Yuan, Xiao-Chen & Zhang, Xiaoling & Cao, Yunfei, 2020. "How will the Chinese national carbon emissions trading scheme work? The assessment of regional potential gains," Energy Policy, Elsevier, vol. 137(C).
    30. Yifei Zhang & Sheng Li & Fang Zhang, 2020. "Does an Emissions Trading Policy Improve Environmental Efficiency? Evidence from China," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    31. Jiekun Song & Rui Chen & Xiaoping Ma, 2021. "Collaborative Allocation of Energy Consumption, Air Pollutants and CO 2 Emissions in China," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    32. Jiang, M. & Liang, X. & Reiner, D. & Lin, B., 2018. "Stakeholder Views on Interactions between Low-carbon Policies and Carbon Markets in China: Lessons from the Guangdong ETS," Cambridge Working Papers in Economics 1811, Faculty of Economics, University of Cambridge.
    33. Weijiang Liu & Tingting Liu & Yangyang Li & Min Liu, 2021. "Recycling Carbon Tax under Different Energy Efficiency Improvements: A CGE Analysis of China," Sustainability, MDPI, vol. 13(9), pages 1-17, April.
    34. Ziheng Niu & Jianliang Xiong & Xuesong Ding & Yao Wu, 2022. "Analysis of China’s Carbon Peak Achievement in 2025," Energies, MDPI, vol. 15(14), pages 1-18, July.
    35. Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
    36. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    37. Zhang, Weijie & Zhang, Ning & Yu, Yanni, 2019. "Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 1-11.
    38. Wu, Rui & Dai, Hancheng & Geng, Yong & Xie, Yang & Masui, Toshihiko & Tian, Xu, 2016. "Achieving China’s INDC through carbon cap-and-trade: Insights from Shanghai," Applied Energy, Elsevier, vol. 184(C), pages 1114-1122.
    39. Chang, Kai & Chang, Hao, 2016. "Cutting CO2 intensity targets of interprovincial emissions trading in China," Applied Energy, Elsevier, vol. 163(C), pages 211-221.
    40. Zheng, Bo & Zhang, Qiang & Borken-Kleefeld, Jens & Huo, Hong & Guan, Dabo & Klimont, Zbigniew & Peters, Glen P. & He, Kebin, 2015. "How will greenhouse gas emissions from motor vehicles be constrained in China around 2030?," Applied Energy, Elsevier, vol. 156(C), pages 230-240.
    41. Song, Xiangnan & Lu, Yujie & Shen, Liyin & Shi, Xunpeng, 2018. "Will China's building sector participate in emission trading system? Insights from modelling an owner's optimal carbon reduction strategies," Energy Policy, Elsevier, vol. 118(C), pages 232-244.
    42. Xu, Zhongwen & Yao, Liming & Liu, Qiaoling & Long, Yin, 2019. "Policy implications for achieving the carbon emission reduction target by 2030 in Japan-Analysis based on a bilevel equilibrium model," Energy Policy, Elsevier, vol. 134(C).
    43. Li, Wei & Jia, Zhijie, 2016. "The impact of emission trading scheme and the ratio of free quota: A dynamic recursive CGE model in China," Applied Energy, Elsevier, vol. 174(C), pages 1-14.
    44. Wen-Hsien Tsai & Shi-Yin Jhong, 2018. "Carbon Emissions Cost Analysis with Activity-Based Costing," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
    45. Wang, Yizhong & Hang, Ye & Wang, Qunwei, 2022. "Joint or separate? An economic-environmental comparison of energy-consuming and carbon emissions permits trading in China," Energy Economics, Elsevier, vol. 109(C).
    46. Feng Dong & Ruyin Long & Zhengfu Bian & Xihui Xu & Bolin Yu & Ying Wang, 2017. "Applying a Ruggiero three-stage super-efficiency DEA model to gauge regional carbon emission efficiency: evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1453-1468, July.
    47. Dai, Sheng & Zhou, Xun & Kuosmanen, Timo, 2020. "Forward-looking assessment of the GHG abatement cost: Application to China," Energy Economics, Elsevier, vol. 88(C).
    48. Fan, Ying & Wu, Jie & Xia, Yan & Liu, Jing-Yu, 2016. "How will a nationwide carbon market affect regional economies and efficiency of CO2 emission reduction in China?," China Economic Review, Elsevier, vol. 38(C), pages 151-166.
    49. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    50. Qian Wang & Cuiyun Gao & Shuanping Dai, 2019. "Effect of the Emissions Trading Scheme on CO 2 Abatement in China," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    51. Liangliang Liu & Wenqing Zhang, 2022. "Vertical fiscal imbalance and energy intensity in China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(2), pages 509-526, October.
    52. Wang, Ge & Zhang, Qi & Li, Yan & Mclellan, Benjamin C., 2019. "Efficient and equitable allocation of renewable portfolio standards targets among China's provinces," Energy Policy, Elsevier, vol. 125(C), pages 170-180.
    53. Xia, Yan & Tang, Zhipeng, 2017. "The impacts of emissions accounting methods on an imperfect competitive carbon trading market," Energy, Elsevier, vol. 119(C), pages 67-76.
    54. Qinliang Tan & Yihong Ding & Yimei Zhang, 2017. "Optimization Model of an Efficient Collaborative Power Dispatching System for Carbon Emissions Trading in China," Energies, MDPI, vol. 10(9), pages 1-19, September.
    55. Karplus, Valerie J. & Rausch, Sebastian & Zhang, Da, 2016. "Energy caps: Alternative climate policy instruments for China?," Energy Economics, Elsevier, vol. 56(C), pages 422-431.
    56. Zhang, Yanfang & Guo, Siyuan & Shi, Xunpeng & Qian, Xiangyan & Nie, Rui, 2021. "A market instrument to achieve carbon neutrality: Is China’s energy-consumption permit trading scheme effective?," Applied Energy, Elsevier, vol. 299(C).
    57. Pang, Rui-zhi & Deng, Zhong-qi & Chiu, Yung-ho, 2015. "Pareto improvement through a reallocation of carbon emission quotas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 419-430.
    58. Xian, Yujiao & Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2019. "Would China’s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," Applied Energy, Elsevier, vol. 235(C), pages 978-986.
    59. Wei, Yi-Ming & Wang, Lu & Liao, Hua & Wang, Ke & Murty, Tad & Yan, Jinyue, 2014. "Responsibility accounting in carbon allocation: A global perspective," Applied Energy, Elsevier, vol. 130(C), pages 122-133.
    60. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis," Energy Economics, Elsevier, vol. 48(C), pages 217-229.
    61. Xi Jin & Bin Zou & Chan Wang & Kaifeng Rao & Xiaowen Tang, 2019. "Carbon Emission Allocation in a Chinese Province-Level Region Based on Two-Stage Network Structures," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    62. Park, Taeil & Kim, Changyoon & Kim, Hyoungkwan, 2014. "A real option-based model to valuate CDM projects under uncertain energy policies for emission trading," Applied Energy, Elsevier, vol. 131(C), pages 288-296.
    63. Jun Yang & Xin Feng & Yufei Tang & Jun Yan & Haibo He & Chao Luo, 2015. "A Power System Optimal Dispatch Strategy Considering the Flow of Carbon Emissions and Large Consumers," Energies, MDPI, vol. 8(9), pages 1-20, August.
    64. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2016. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," Omega, Elsevier, vol. 63(C), pages 48-59.
    65. Ke Wang & Xian Zhang & Xueying Yu & Yi-Ming Wei & Bin Wang, 2016. "Emissions trading and abatement cost savings: An estimation of China's thermal power industry," CEEP-BIT Working Papers 95, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    66. Chang, Kai & Zhang, Chao & Chang, Hao, 2016. "Emissions reduction allocation and economic welfare estimation through interregional emissions trading in China: Evidence from efficiency and equity," Energy, Elsevier, vol. 113(C), pages 1125-1135.
    67. Zhang, Jingxiao & Jin, Weixing & Yang, Guo-liang & Li, Hui & Ke, Yongjian & Philbin, Simon Patrick, 2021. "Optimizing regional allocation of CO2 emissions considering output under overall efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    68. Zhou, X. & Fan, L.W. & Zhou, P., 2015. "Marginal CO2 abatement costs: Findings from alternative shadow price estimates for Shanghai industrial sectors," Energy Policy, Elsevier, vol. 77(C), pages 109-117.
    69. Xiong, Ling & Shen, Bo & Qi, Shaozhou & Price, Lynn & Ye, Bin, 2017. "The allowance mechanism of China’s carbon trading pilots: A comparative analysis with schemes in EU and California," Applied Energy, Elsevier, vol. 185(P2), pages 1849-1859.
    70. Yanni Yu & Weijie Zhang & Ning Zhang, 2018. "The Potential Gains from Carbon Emissions Trading in China’s Industrial Sectors," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1175-1194, December.
    71. Huang, Zhehao & Dong, Hao & Jia, Shuaishuai, 2022. "Equilibrium pricing for carbon emission in response to the target of carbon emission peaking," Energy Economics, Elsevier, vol. 112(C).
    72. Chiu-Ming Hsiao, 2022. "Economic Growth, CO 2 Emissions Quota and Optimal Allocation under Uncertainty," Sustainability, MDPI, vol. 14(14), pages 1-26, July.
    73. Li, Guangyao & Yang, Jin & Chen, Dingjiang & Hu, Shanying, 2017. "Impacts of the coming emission trading scheme on China’s coal-to-materials industry in 2020," Applied Energy, Elsevier, vol. 195(C), pages 837-849.
    74. Kejia Yang & Yalin Lei & Weiming Chen & Lingna Liu, 2018. "Carbon dioxide emission reduction quota allocation study on Chinese provinces based on two-stage Shapley information entropy model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(1), pages 321-335, March.
    75. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations," Energy Policy, Elsevier, vol. 108(C), pages 163-177.
    76. Khaqqi, Khamila Nurul & Sikorski, Janusz J. & Hadinoto, Kunn & Kraft, Markus, 2018. "Incorporating seller/buyer reputation-based system in blockchain-enabled emission trading application," Applied Energy, Elsevier, vol. 209(C), pages 8-19.
    77. Zhiwu Zhou & Julián Alcalá & Víctor Yepes, 2022. "Research on Sustainable Development of the Regional Construction Industry Based on Entropy Theory," Sustainability, MDPI, vol. 14(24), pages 1-23, December.
    78. Chen, Guangwu & Wiedmann, Thomas & Wang, Yafei & Hadjikakou, Michalis, 2016. "Transnational city carbon footprint networks – Exploring carbon links between Australian and Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1082-1092.
    79. Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
    80. Yang, Lisha & Li, Yutianhao & Liu, Hongxun, 2021. "Did carbon trade improve green production performance? Evidence from China," Energy Economics, Elsevier, vol. 96(C).
    81. Dai, Hancheng & Xie, Yang & Liu, Jingyu & Masui, Toshihiko, 2018. "Aligning renewable energy targets with carbon emissions trading to achieve China's INDCs: A general equilibrium assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4121-4131.
    82. Yu, Fan & Xiao, De & Chang, Meng-Shiuh, 2021. "The impact of carbon emission trading schemes on urban-rural income inequality in China: A multi-period difference-in-differences method," Energy Policy, Elsevier, vol. 159(C).
    83. Ling-Yun He & Jia-Jia Ou, 2017. "Pollution Emissions, Environmental Policy, and Marginal Abatement Costs," IJERPH, MDPI, vol. 14(12), pages 1-16, December.
    84. Lin, Boqiang & Jia, Zhijie, 2020. "Is emission trading scheme an opportunity for renewable energy in China? A perspective of ETS revenue redistributions," Applied Energy, Elsevier, vol. 263(C).
    85. Du, Mengfan & Zhang, Yue-Jun, 2023. "The impact of producer services agglomeration on green economic development: Evidence from 278 Chinese cities," Energy Economics, Elsevier, vol. 124(C).
    86. Zhang, Wei & Li, Jing & Li, Guoxiang & Guo, Shucen, 2020. "Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China," Energy, Elsevier, vol. 196(C).
    87. Zhao, Xueting & Wesley Burnett, J. & Lacombe, Donald J., 2015. "Province-level convergence of China’s carbon dioxide emissions," Applied Energy, Elsevier, vol. 150(C), pages 286-295.
    88. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2015. "Carbon emissions trading scheme exploration in China: A multi-agent-based model," Energy Policy, Elsevier, vol. 81(C), pages 152-169.
    89. Xuecheng Wang & Xu Tang & Baosheng Zhang & Benjamin C. McLellan & Yang Lv, 2018. "Provincial Carbon Emissions Reduction Allocation Plan in China Based on Consumption Perspective," Sustainability, MDPI, vol. 10(5), pages 1-23, April.
    90. Yi-Hua Wu & Hancheng Dai & Yang Xie & Toshihiko Masui, 2019. "The efforts of Taiwan to achieve NDC target: an integrated assessment on the carbon emission trading system," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1295-1310, December.
    91. Zhang, Yanfang & Gao, Qi & Wei, Jinpeng & Shi, Xunpeng & Zhou, Dequn, 2023. "Can China's energy-consumption permit trading scheme achieve the “Porter” effect? Evidence from an estimated DSGE model," Energy Policy, Elsevier, vol. 180(C).
    92. Yujiao Xian & Ke Wang & Yi-Ming Wei & Zhimin Huang, 2018. "Would China¡¯s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," CEEP-BIT Working Papers 121, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    93. Wu, Jie & Zhu, Qingyuan & Liang, Liang, 2016. "CO2 emissions and energy intensity reduction allocation over provincial industrial sectors in China," Applied Energy, Elsevier, vol. 166(C), pages 282-291.
    94. Jiang, Jingjing & Xie, Dejun & Ye, Bin & Shen, Bo & Chen, Zhanming, 2016. "Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook," Applied Energy, Elsevier, vol. 178(C), pages 902-917.
    95. Tan, Qinliang & Ding, Yihong & Zheng, Jin & Dai, Mei & Zhang, Yimei, 2021. "The effects of carbon emissions trading and renewable portfolio standards on the integrated wind–photovoltaic–thermal power-dispatching system: Real case studies in China," Energy, Elsevier, vol. 222(C).
    96. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    97. Yang, Lin & Li, Fengyu & Zhang, Xian, 2016. "Chinese companies’ awareness and perceptions of the Emissions Trading Scheme (ETS): Evidence from a national survey in China," Energy Policy, Elsevier, vol. 98(C), pages 254-265.
    98. Chen Wang & Qingyan Yang & Shufen Dai, 2019. "Supplier Selection and Order Allocation under a Carbon Emission Trading Scheme: A Case Study from China," IJERPH, MDPI, vol. 17(1), pages 1-19, December.
    99. Jie Wu, Ying Fan, Yan Xia, 2016. "The Economic Effects of Initial Quota Allocations on Carbon Emissions Trading in China," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    100. Ye, Bin & Yang, Peng & Jiang, Jingjing & Miao, Lixin & Shen, Bo & Li, Ji, 2017. "Feasibility and economic analysis of a renewable energy powered special town in China," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 40-50.
    101. Xiao Yang & Wen Jia & Kedan Wang & Geng Peng, 2024. "Does the National Carbon Emissions Trading Market Promote Corporate Environmental Protection Investment? Evidence from China," Sustainability, MDPI, vol. 16(1), pages 1-22, January.
    102. Mu, Yaqian & Evans, Samuel & Wang, Can & Cai, Wenjia, 2018. "How will sectoral coverage affect the efficiency of an emissions trading system? A CGE-based case study of China," Applied Energy, Elsevier, vol. 227(C), pages 403-414.
    103. Ahmed, Khalid, 2017. "Revisiting the role of financial development for energy-growth-trade nexus in BRICS economies," Energy, Elsevier, vol. 128(C), pages 487-495.
    104. Bingxin Zeng & Jun Xie & Xiaobing Zhang & Yang Yu & Lei Zhu, 2020. "The impacts of emission trading scheme on China’s thermal power industry: A pre-evaluation from the micro level," Energy & Environment, , vol. 31(6), pages 1007-1030, September.
    105. Min Yang & Qingxian An & Tao Ding & Pengzhen Yin & Liang Liang, 2019. "Carbon emission allocation in China based on gradually efficiency improvement and emission reduction planning principle," Annals of Operations Research, Springer, vol. 278(1), pages 123-139, July.
    106. Wei Jiang & Jia Liu & Xiang Liu, 2016. "Impact of Carbon Quota Allocation Mechanism on Emissions Trading: An Agent-Based Simulation," Sustainability, MDPI, vol. 8(8), pages 1-13, August.
    107. Zhou, Kaile & Yang, Shanlin, 2016. "Emission reduction of China׳s steel industry: Progress and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 319-327.
    108. Tengda Lu & Xieer Dai & Jun Chen & Ming Dai, 2018. "Pricing Industrial Discharge Quota (IDQ): A Model Reflecting Opportunity Cost of Performing Ecological Responsibility," Sustainability, MDPI, vol. 10(6), pages 1-20, June.

  103. Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.

    Cited by:

    1. Li, J.S. & Xia, X.H. & Chen, G.Q. & Alsaedi, A. & Hayat, T., 2016. "Optimal embodied energy abatement strategy for Beijing economy: Based on a three-scale input-output analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1602-1610.
    2. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    3. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    4. Sheng, Jichuan & Qiu, Wenge, 2023. "Inter-basin water transfer policies and water-use technical efficiency: China's South-North Water Transfer Project," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    5. Ouyang, Xiaoling & Sun, Chuanwang, 2015. "Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency," Energy Economics, Elsevier, vol. 48(C), pages 117-126.
    6. Huang, Wei & Bruemmer, Bernhard, 2017. "Balancing economic revenue and grazing pressure of livestock grazing on the Qinghai–Tibetan–Plateau," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 61(4), October.
    7. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali, 2015. "A new slacks-based measure of Malmquist–Luenberger index in the presence of undesirable outputs," Omega, Elsevier, vol. 51(C), pages 29-37.
    8. Zheming Yan & Rui Shi & Zhiming Yang, 2018. "ICT Development and Sustainable Energy Consumption: A Perspective of Energy Productivity," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    9. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    10. Kapelko, Magdalena & Oude Lansink, Alfons, 2017. "Dynamic multi-directional inefficiency analysis of European dairy manufacturing firms," European Journal of Operational Research, Elsevier, vol. 257(1), pages 338-344.
    11. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    12. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    13. Zheming Yan & Lan Yi & Kerui Du & Zhiming Yang, 2017. "Impacts of Low-Carbon Innovation and Its Heterogeneous Components on CO 2 Emissions," Sustainability, MDPI, vol. 9(4), pages 1-14, April.
    14. Wang, Zhaohua & He, Weijun & Wang, Bo, 2017. "Performance and reduction potential of energy and CO2 emissions among the APEC's members with considering the return to scale," Energy, Elsevier, vol. 138(C), pages 552-562.
    15. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    16. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    17. Yanni Yu & Yongrok Choi, 2015. "Measuring Environmental Performance Under Regional Heterogeneity in China: A Metafrontier Efficiency Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 375-388, October.
    18. Luping Zhang & Yingying Zhu & Liwei Fan, 2021. "Temporal-Spatial Structure and Influencing Factors of Urban Energy Efficiency in China’s Agglomeration Areas," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    19. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    20. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    21. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    22. Guo, Qiu-tong & Dong, Yong & Feng, Biao & Zhang, Hao, 2023. "Can green finance development promote total-factor energy efficiency? Empirical evidence from China based on a spatial Durbin model," Energy Policy, Elsevier, vol. 177(C).
    23. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    24. Shao, Yanmin, 2017. "Analysis of energy savings potential of China's nonferrous metals industry," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 25-33.
    25. Cao, Hongjian & Wang, Bizhe & Li, Ke, 2021. "Regulatory policy and misallocation: A new perspective based on the productivity effect of cleaner production standards in China's energy firms," Energy Policy, Elsevier, vol. 152(C).
    26. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    27. Stergiou, Eirini, 2022. "Environmental Efficiency of European Industries across Sectors and Countries," MPRA Paper 114635, University Library of Munich, Germany.
    28. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.
    29. Lin, Boqiang & Du, Kerui, 2014. "Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 129(C), pages 158-165.
    30. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).
    31. Ziling Yu & Ruoxuan Li & Lili Ma, 2022. "Has the Digital Economy Affected the Status of a Country’s Energy Trade Network?," Sustainability, MDPI, vol. 14(23), pages 1-14, November.
    32. Lizhan Cao & Zhongying Qi & Junxia Ren, 2017. "China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    33. Beltrán-Esteve, Mercedes & Picazo-Tadeo, Andrés J., 2017. "Assessing environmental performance in the European Union: Eco-innovation versus catching-up," Energy Policy, Elsevier, vol. 104(C), pages 240-252.
    34. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    35. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    36. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    37. Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.
    38. Amjadi, Golnaz & Lundgren, Tommy, 2022. "Is industrial energy inefficiency transient or persistent? Evidence from Swedish manufacturing," Applied Energy, Elsevier, vol. 309(C).
    39. Jing Lin & Boqiang Lin, 2016. "How Much CO 2 Emissions Can Be Reduced in China’s Heating Industry," Sustainability, MDPI, vol. 8(7), pages 1-16, July.
    40. Chen, Nengcheng & Xu, Lei & Chen, Zeqiang, 2017. "Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and tobit models," Energy, Elsevier, vol. 134(C), pages 659-671.
    41. Zhang, Zibin & Ye, Jianliang, 2015. "Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China," Energy Economics, Elsevier, vol. 47(C), pages 87-97.
    42. Pritpal Singh & Gurdeep Singh & G. P. S. Sodhi, 2022. "Data envelopment analysis based optimization for improving net ecosystem carbon and energy budget in cotton (Gossypium hirsutum L.) cultivation: methods and a case study of north-western India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2079-2119, February.
    43. Zhang, Ning & Choi, Yongrok & Wang, Wei, 2019. "Does energy research funding work? Evidence from the Natural Science Foundation of China using TEI@I method," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 369-380.
    44. Sartori, Simone & Witjes, Sjors & Campos, Lucila M.S., 2017. "Sustainability performance for Brazilian electricity power industry: An assessment integrating social, economic and environmental issues," Energy Policy, Elsevier, vol. 111(C), pages 41-51.
    45. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    46. Jie Wu & Beibei Xiong & Qingxian An & Jiasen Sun & Huaqing Wu, 2017. "Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs," Annals of Operations Research, Springer, vol. 255(1), pages 257-276, August.
    47. Xiaohua Song & Caiping Zhao & Jingjing Han & Qi Zhang & Jinpeng Liu & Yuanying Chi, 2020. "Measurement and Influencing Factors Research of the Energy and Power Efficiency in China: Based on the Supply-Side Structural Reform Perspective," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    48. Tengfei Huo & Hong Ren & Weiguang Cai & Wei Feng & Miaohan Tang & Nan Zhou, 2018. "The total-factor energy productivity growth of China’s construction industry: evidence from the regional level," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1593-1616, July.
    49. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    50. Fang Chen & Tao Zhao & Di Wang, 2022. "Research on China Cities’ Total Factor Productivity of Carbon Emission: Based on Decoupling Effect," IJERPH, MDPI, vol. 19(4), pages 1-16, February.
    51. Zhang, Shanshan & Lundgren, Tommy & Zhou, Wenchao, 2016. "Energy efficiency in Swedish industry," Energy Economics, Elsevier, vol. 55(C), pages 42-51.
    52. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    53. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    54. Juan Aparicio & Javier Barbero & Magdalena Kapelko & Jesus T. Pastor & Jose L. Zofio, 2016. "Environmental Productivity Change in World Air Emissions: A new Malmquist-Luenberger Index Approach," JRC Research Reports JRC104083, Joint Research Centre.
    55. Ma, Ding & Fei, Rilong & Yu, Yongsheng, 2019. "How government regulation impacts on energy and CO2 emissions performance in China's mining industry," Resources Policy, Elsevier, vol. 62(C), pages 651-663.
    56. Zhou, D.Q. & Wu, F. & Zhou, X. & Zhou, P., 2016. "Output-specific energy efficiency assessment: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 177(C), pages 117-126.
    57. Zhao, Guangling & Guerrero, Josep M. & Jiang, Kejun & Chen, Sha, 2017. "Energy modelling towards low carbon development of Beijing in 2030," Energy, Elsevier, vol. 121(C), pages 107-113.
    58. Jin Zhu & Dequn Zhou & Zhengning Pu & Huaping Sun, 2019. "A Study of Regional Power Generation Efficiency in China: Based on a Non-Radial Directional Distance Function Model," Sustainability, MDPI, vol. 11(3), pages 1-18, January.
    59. Yang, Lisha & Li, Yutianhao & Liu, Hongxun, 2021. "Did carbon trade improve green production performance? Evidence from China," Energy Economics, Elsevier, vol. 96(C).
    60. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    61. Kounetas, Konstantinos & Stergiou, Eirini, 2019. "Technology heterogeneity in European industries' energy efficiency performance. The role of climate, greenhouse gases, path dependence and energy mix," MPRA Paper 92314, University Library of Munich, Germany.
    62. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    63. Kerui Du & Boqiang Lin & Chunping Xie, 2017. "Exploring Change in China’s Carbon Intensity: A Decomposition Approach," Sustainability, MDPI, vol. 9(2), pages 1-14, February.
    64. Shuangjie Li & Hongyu Diao & Liming Wang & Chunqi Li, 2021. "Energy Efficiency Measurement: A VO TFEE Approach and Its Application," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    65. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    66. Wang, H. & Pan, Chen & Wang, Qunwei & Zhou, P., 2020. "Assessing sustainability performance of global supply chains: An input-output modeling approach," European Journal of Operational Research, Elsevier, vol. 285(1), pages 393-404.
    67. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    68. Song, Malin & Wang, Jianlin, 2018. "Environmental efficiency evaluation of thermal power generation in China based on a slack-based endogenous directional distance function model," Energy, Elsevier, vol. 161(C), pages 325-336.
    69. Fan, Meiting & Shao, Shuai & Yang, Lili, 2015. "Combining global Malmquist–Luenberger index and generalized method of moments to investigate industrial total factor CO2 emission performance: A case of Shanghai (China)," Energy Policy, Elsevier, vol. 79(C), pages 189-201.
    70. Zuoren Sun & Chao An & Huachen Sun, 2018. "Regional Differences in Energy and Environmental Performance: An Empirical Study of 283 Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-28, July.
    71. Liu, Guangtian & Wang, Bing & Zhang, Ning, 2016. "A coin has two sides: Which one is driving China’s green TFP growth?," Economic Systems, Elsevier, vol. 40(3), pages 481-498.
    72. Wang, Yan & Shen, Neng, 2016. "Environmental regulation and environmental productivity: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 758-766.
    73. Ke Wang & Yi-Ming Wei, 2014. "China's regional industrial energy efficiency and carbon emissions abatement costs," CEEP-BIT Working Papers 64, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    74. Alexandre Repkine & Dongki Min, 2020. "Foreign-Funded Enterprises and Pollution Halo Hypothesis: A Spatial Econometric Analysis of Thirty Chinese Regions," Sustainability, MDPI, vol. 12(12), pages 1-24, June.
    75. Wang, H., 2015. "A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator," Energy, Elsevier, vol. 80(C), pages 114-122.
    76. Guoxing Zhang & Zhenhua Zhang & Xiulin Gao & Lean Yu & Shouyang Wang & Yingluo Wang, 2017. "Impact of Energy Conservation and Emissions Reduction Policy Means Coordination on Economic Growth: Quantitative Evidence from China," Sustainability, MDPI, vol. 9(5), pages 1-19, April.
    77. Eucabeth Majiwa & Boon L. Lee & Clevo Wilson, 2018. "Increasing agricultural productivity while reducing greenhouse gas emissions in sub†Saharan Africa: myth or reality?," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 183-192, March.
    78. Chen, Weidong & Geng, Wenxin, 2017. "Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input," Energy, Elsevier, vol. 120(C), pages 283-292.
    79. Wang, H. & Zhou, P. & Wang, Qunwei, 2016. "Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach," Energy, Elsevier, vol. 101(C), pages 218-228.
    80. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.

  104. Zhang, Qin & Zhou, Dequn & Zhou, Peng & Ding, Hao, 2013. "Cost Analysis of straw-based power generation in Jiangsu Province, China," Applied Energy, Elsevier, vol. 102(C), pages 785-793.

    Cited by:

    1. Wang, Changbo & Zhang, Lixiao & Chang, Yuan & Pang, Mingyue, 2015. "Biomass direct-fired power generation system in China: An integrated energy, GHG emissions, and economic evaluation for Salix," Energy Policy, Elsevier, vol. 84(C), pages 155-165.
    2. Wang, Zhanwu & Wang, Zhenfeng & Tahir, Nadeem & Wang, Heng & Li, Jin & Xu, Guangyin, 2020. "Study of synergetic development in straw power supply chain: Straw price and government subsidy as incentive," Energy Policy, Elsevier, vol. 146(C).
    3. Xueliang Yuan & Leping Chen & Xuerou Sheng & Mengyue Liu & Yue Xu & Yuzhou Tang & Qingsong Wang & Qiao Ma & Jian Zuo, 2021. "Life Cycle Cost of Electricity Production: A Comparative Study of Coal-Fired, Biomass, and Wind Power in China," Energies, MDPI, vol. 14(12), pages 1-15, June.
    4. Zhao Xin-gang & Wang Wei & Hu Shuran & Liu Xuan, 2023. "Impacts of Government Policies on the Adoption of Biomass Power: A System Dynamic Perspective," Sustainability, MDPI, vol. 15(2), pages 1-11, January.
    5. Li, Jin & Wang, Rui & Li, Haoran & Nie, Yaoyu & Song, Xinke & Li, Mingyu & Shi, Mai & Zheng, Xinzhu & Cai, Wenjia & Wang, Can, 2021. "Unit-level cost-benefit analysis for coal power plants retrofitted with biomass co-firing at a national level by combined GIS and life cycle assessment," Applied Energy, Elsevier, vol. 285(C).
    6. Wang, Xingwei & Cai, Yanpeng & Dai, Chao, 2014. "Evaluating China's biomass power production investment based on a policy benefit real options model," Energy, Elsevier, vol. 73(C), pages 751-761.
    7. Shafie, S.M., 2016. "A review on paddy residue based power generation: Energy, environment and economic perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1089-1100.
    8. Mingming Zhang & Dequn Zhou & Hao Ding & Jingliang Jin, 2016. "Biomass Power Generation Investment in China: A Real Options Evaluation," Sustainability, MDPI, vol. 8(6), pages 1-22, June.
    9. Shafie, S.M. & Masjuki, H.H. & Mahlia, T.M.I., 2014. "Rice straw supply chain for electricity generation in Malaysia: Economical and environmental assessment," Applied Energy, Elsevier, vol. 135(C), pages 299-308.
    10. Zhang, Xingping & Luo, Kaiyan & Tan, Qinliang, 2016. "A feedstock supply model integrating the official organization for China's biomass generation plants," Energy Policy, Elsevier, vol. 97(C), pages 276-290.
    11. Yang, Jun & Wang, Xiaobing & Ma, Hengyun & Bai, Junfei & Jiang, Ye & Yu, Hai, 2014. "Potential usage, vertical value chain and challenge of biomass resource: Evidence from China’s crop residues," Applied Energy, Elsevier, vol. 114(C), pages 717-723.
    12. Xiang Zhao & Xiaoya Ma & Kun Wang & Yuqing Long & Dongjie Zhang & Zhanchun Xiao, 2017. "A Spatially Explicit Optimization Model for Agricultural Straw-Based Power Plant Site Selection: A Case Study in Hubei Province, China," Sustainability, MDPI, vol. 9(5), pages 1-19, May.
    13. Xu, Jiuping & Huang, Qian & Lv, Chengwei & Feng, Qing & Wang, Fengjuan, 2018. "Carbon emissions reductions oriented dynamic equilibrium strategy using biomass-coal co-firing," Energy Policy, Elsevier, vol. 123(C), pages 184-197.
    14. Wen, Wen & Zhang, Qin, 2015. "A design of straw acquisition mode for China's straw power plant based on supply chain coordination," Renewable Energy, Elsevier, vol. 76(C), pages 369-374.
    15. Weiwei Wang, 2023. "Integrated Assessment of Economic Supply and Environmental Effects of Biomass Co-Firing in Coal Power Plants: A Case Study of Jiangsu, China," Energies, MDPI, vol. 16(6), pages 1-22, March.
    16. Yang, Bo & Wei, Yi-Ming & Liu, Lan-Cui & Hou, Yun-Bing & Zhang, Kun & Yang, Lai & Feng, Ye, 2021. "Life cycle cost assessment of biomass co-firing power plants with CO2 capture and storage considering multiple incentives," Energy Economics, Elsevier, vol. 96(C).
    17. Chen, Huadong & Wang, Can & Cai, Wenjia & Wang, Jianhui, 2018. "Simulating the impact of investment preference on low-carbon transition in power sector," Applied Energy, Elsevier, vol. 217(C), pages 440-455.
    18. Sastre, C.M. & González-Arechavala, Y. & Santos, A.M., 2015. "Global warming and energy yield evaluation of Spanish wheat straw electricity generation – A LCA that takes into account parameter uncertainty and variability," Applied Energy, Elsevier, vol. 154(C), pages 900-911.
    19. Zhang, Qin & Zhou, Dequn & Fang, Xiaomeng, 2014. "Analysis on the policies of biomass power generation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 926-935.
    20. Hao Lv & Hao Ding & Dequn Zhou & Peng Zhou, 2014. "A Site Selection Model for a Straw-Based Power Generation Plant with CO 2 Emissions," Sustainability, MDPI, vol. 6(10), pages 1-16, October.
    21. Zhao, Xin-gang & Li, Ang, 2016. "A multi-objective sustainable location model for biomass power plants: Case of China," Energy, Elsevier, vol. 112(C), pages 1184-1193.
    22. M. Mofijur & T.M.I. Mahlia & J. Logeswaran & M. Anwar & A.S. Silitonga & S.M. Ashrafur Rahman & A.H. Shamsuddin, 2019. "Potential of Rice Industry Biomass as a Renewable Energy Source," Energies, MDPI, vol. 12(21), pages 1-21, October.
    23. Song, Qingbin & Wang, Zhishi & Li, Jinhui & Duan, Huabo & Yu, Danfeng & Liu, Gang, 2018. "Comparative life cycle GHG emissions from local electricity generation using heavy oil, natural gas, and MSW incineration in Macau," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2450-2459.
    24. Guo, Jian-Xin & Tan, Xianchun & Gu, Baihe & Zhu, Kaiwei, 2022. "Integration of supply chain management of hybrid biomass power plant with carbon capture and storage operation," Renewable Energy, Elsevier, vol. 190(C), pages 1055-1065.
    25. Zhanwu Wang & Guangyin Xu & Zhenfeng Wang & Zhiping Zhang, 2022. "Sustainability of agricultural waste power generation industry in China: criteria relationship identification and policy design mechanism," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3371-3395, March.
    26. Zhang, Ling & Zhou, Peng & Newton, Sidney & Fang, Jian-xin & Zhou, De-qun & Zhang, Lu-ping, 2015. "Evaluating clean energy alternatives for Jiangsu, China: An improved multi-criteria decision making method," Energy, Elsevier, vol. 90(P1), pages 953-964.
    27. Juanjuan Wu & Jian Zhang & Weiming Yi & Hongzhen Cai & Yang Li & Zhanpeng Su, 2021. "A Game-Theoretic Analysis of Incentive Effects for Agribiomass Power Generation Supply Chain in China," Energies, MDPI, vol. 14(3), pages 1-18, January.
    28. Huang, Qian & Xu, Jiuping, 2023. "Carbon tax revenue recycling for biomass/coal co-firing using Stackelberg game: A case study of Jiangsu province, China," Energy, Elsevier, vol. 272(C).
    29. Dao, Cuong N. & Salam, Abdul & Kim Oanh, Nguyen Thi & Tabil, Lope G., 2022. "Effects of length-to-diameter ratio, pinewood sawdust, and sodium lignosulfonate on quality of rice straw pellets produced via a flat die pellet mill," Renewable Energy, Elsevier, vol. 181(C), pages 1140-1154.

  105. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.

    Cited by:

    1. Hosseinzadeh, Ahmad & Smyth, Russell & Valadkhani, Abbas & Le, Viet, 2016. "Analyzing the efficiency performance of major Australian mining companies using bootstrap data envelopment analysis," Economic Modelling, Elsevier, vol. 57(C), pages 26-35.
    2. Zhou, Bo & Zhang, Cheng & Wang, Qunwei & Zhou, Dequn, 2020. "Does emission trading lead to carbon leakage in China? Direction and channel identifications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    3. Wang, Zhenguo & Su, Bin & Xie, Rui & Long, Haiyu, 2020. "China’s aggregate embodied CO2 emission intensity from 2007 to 2012: A multi-region multiplicative structural decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    4. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    5. Pan Wanbin & Huang Lei & Zhao Linlin, 2017. "An Integrated DEA Model Allowing Decomposition of Eco-Efficiency: A Case Study of China," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 473-488, October.
    6. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
    7. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    8. Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.
    9. Qunwei Wang & Peng Zhou & Zengyao Zhao & Neng Shen, 2014. "Energy Efficiency and Energy Saving Potential in China: A Directional Meta-Frontier DEA Approach," Sustainability, MDPI, vol. 6(8), pages 1-17, August.
    10. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    11. Wanke, Peter & Barros, Carlos Pestana, 2016. "Efficiency drivers in Brazilian insurance: A two-stage DEA meta frontier-data mining approach," Economic Modelling, Elsevier, vol. 53(C), pages 8-22.
    12. Xiaobo Shen & Boqiang Lin, 2017. "Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    13. An-Chi Liu & Junyi Wang & Yiting Zhan & Chien-Jung Li & Yang Li, 2021. "Meta-Frontier Analysis of Disclosing Sustainable Development Information: Evidence from China’s AI Industry," Energies, MDPI, vol. 14(19), pages 1-13, September.
    14. Maroua Afi & Jay Parsons, 2023. "Integrated vs. Specialized Farming Systems for Sustainable Food Production: Comparative Analysis of Systems’ Technical Efficiency in Nebraska," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
    15. Yu, Yanni & Wu, Wenjie & Zhang, Tao & Liu, Yanchu, 2016. "Environmental catching-up, eco-innovation, and technological leadership in China's pilot ecological civilization zones," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 228-236.
    16. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    17. Hao Zhang & Jianxin You & Xuekelaiti Haiyirete & Tianyu Zhang, 2020. "Measuring Logistics Efficiency in China Considering Technology Heterogeneity and Carbon Emission through a Meta-Frontier Model," Sustainability, MDPI, vol. 12(19), pages 1-18, October.
    18. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    19. Toshiyuki Sueyoshi & Yan Yuan & Aijun Li & Daoping Wang, 2017. "Social Sustainability of Provinces in China: A Data Envelopment Analysis (DEA) Window Analysis under the Concepts of Natural and Managerial Disposability," Sustainability, MDPI, vol. 9(11), pages 1-18, November.
    20. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    21. Chen, Yin E. & Fu, Qiang & Zhao, Xinxin & Yuan, Xuemei & Chang, Chun-Ping, 2019. "International sanctions’ impact on energy efficiency in target states," Economic Modelling, Elsevier, vol. 82(C), pages 21-34.
    22. Bian, Yiwen & Hu, Miao & Wang, Yousen & Xu, Hao, 2016. "Energy efficiency analysis of the economic system in China during 1986–2012: A parallel slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 990-998.
    23. Lin, Boqiang & Bai, Rui, 2020. "Dynamic energy performance evaluation of Chinese textile industry," Energy, Elsevier, vol. 199(C).
    24. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    25. Zhang, Yue-Jun & Jiang, Lin & Shi, Wei, 2020. "Exploring the growth-adjusted energy-emission efficiency of transportation industry in China," Energy Economics, Elsevier, vol. 90(C).
    26. Ping Wang & Bangzhu Zhu & Xueping Tao & Rui Xie, 2017. "Measuring regional energy efficiencies in China: a meta-frontier SBM-Undesirable approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 793-809, January.
    27. Eguchi, Shogo & Takayabu, Hirotaka & Lin, Chen, 2021. "Sources of inefficient power generation by coal-fired thermal power plants in China: A metafrontier DEA decomposition approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    28. Aizhen Zhang & Aijun Li & Yaping Gao, 2018. "Social Sustainability Assessment across Provinces in China: An Analysis of Combining Intermediate Approach with Data Envelopment Analysis (DEA) Window Analysis," Sustainability, MDPI, vol. 10(3), pages 1-24, March.
    29. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    30. Vincent Charles & Guillermo Díaz, 2017. "A Non-radial DEA Index for Peruvian Regional Competitiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 747-770, November.
    31. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    32. Zhang, Gongyi & Zhao, Shukuan & Xi, Yujuan & Liu, Na & Xu, Xiaobo, 2018. "Relating science and technology resources integration and polarization effect to innovation ability in emerging economies: An empirical study of Chinese enterprises," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 188-198.
    33. Lin, Boqiang & Long, Houyin, 2014. "How to promote energy conservation in China’s chemical industry," Energy Policy, Elsevier, vol. 73(C), pages 93-102.
    34. Lin, Boqiang & Sai, Rockson, 2022. "Towards low carbon economy: Performance of electricity generation and emission reduction potential in Africa," Energy, Elsevier, vol. 251(C).
    35. Xian’En Wang & Shimeng Wang & Xipan Wang & Wenbo Li & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "The Assessment of Carbon Performance under the Region-Sector Perspective based on the Nonparametric Estimation: A Case Study of the Northern Province in China," Sustainability, MDPI, vol. 11(21), pages 1-23, October.
    36. Zhang, Yijun & Song, Yi, 2020. "Unified efficiency of coal mining enterprises in China: An analysis based on meta-frontier non-radial directional distance functions," Resources Policy, Elsevier, vol. 65(C).
    37. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    38. Lin, Boqiang & Du, Kerui, 2015. "Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach," Energy Economics, Elsevier, vol. 49(C), pages 550-557.
    39. Isaac Muiruri Gachanja & Stephen Irura Nganga & Lucy Maina Kiganane, 2020. "Influence of Leadership on Innovation Efficiency in Manufacturing Firms in Kenya," International Journal of Management, Knowledge and Learning, International School for Social and Business Studies, Celje, Slovenia, vol. 9(1), pages 43-57.
    40. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    41. Zhang, Ning & Kong, Fanbin & Choi, Yongrok, 2014. "Measuring sustainability performance for China: A sequential generalized directional distance function approach," Economic Modelling, Elsevier, vol. 41(C), pages 392-397.
    42. Kounetas, Kostas & Napolitano, Oreste, 2018. "Modeling the incidence of international trade on Italian regional productive efficiency using a meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 71(C), pages 45-58.
    43. de Wildt, Tristan E. & Chappin, Emile J.L. & van de Kaa, Geerten & Herder, Paulien M., 2018. "A comprehensive approach to reviewing latent topics addressed by literature across multiple disciplines," Applied Energy, Elsevier, vol. 228(C), pages 2111-2128.
    44. Tao, Xueping & Wang, Ping & Zhu, Bangzhu, 2016. "Provincial green economic efficiency of China: A non-separable input–output SBM approach," Applied Energy, Elsevier, vol. 171(C), pages 58-66.
    45. David C Broadstock & Jiajia Li & Dayong Zhang, 2015. "Efficiency Snakes and Energy Ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 151, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    46. Jianhuan Huang & Yue Hua, 2019. "Eco-efficiency Convergence and Green Urban Growth in China," International Regional Science Review, , vol. 42(3-4), pages 307-334, May.
    47. Chen, Chun-Mei, 2019. "Evaluating the efficiency change and productivity progress of the top global telecom operators since OTT's prevalence," Telecommunications Policy, Elsevier, vol. 43(7), pages 1-1.
    48. Shogo Eguchi, 2022. "CO 2 Reduction Potential from Efficiency Improvements in China’s Coal-Fired Thermal Power Generation: A Combined Approach of Metafrontier DEA and LMDI," Energies, MDPI, vol. 15(7), pages 1-19, March.
    49. Jung Ho Park & Kwangsoo Shin, 2018. "Efficiency of Government-Sponsored R&D Projects: A Metafrontier DEA Approach," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    50. F. Wu & P. Zhou & D. Zhou, 2015. "Measuring Energy Congestion in Chinese Industrial Sectors: A Slacks-Based DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 479-494, October.
    51. Hill, Daniel, 2020. "Technology heterogeneity and poverty traps: A latent class approach to technology gap drivers of chronic poverty," 2020 Conference (64th), February 12-14, 2020, Perth, Western Australia 305253, Australian Agricultural and Resource Economics Society.
    52. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    53. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas & Broadstock, David C., 2016. "Spillovers, path dependence and the productive performance of European transportation sectors in the presence of technology heterogeneity," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 261-274.
    54. Li, Ke & Lin, Boqiang, 2015. "The improvement gap in energy intensity: Analysis of China's thirty provincial regions using the improved DEA (data envelopment analysis) model," Energy, Elsevier, vol. 84(C), pages 589-599.
    55. Kim, Youngjune & Chen, Bowen & Featherstone, Allen M. & Pendell, Dustin L., 2017. "Are Efficient Farms and Inefficient Farms Heterogeneous?," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252830, Southern Agricultural Economics Association.
    56. Yingying Shao & Gongbing Bi & Feng Yang & Qiong Xia, 2018. "Resource allocation for branch network system with considering heterogeneity based on DEA method," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 1005-1025, December.
    57. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    58. Zhao Liu & Ling Li & Yue-Jun Zhang, 2015. "Investigating the CO 2 emission differences among China’s transport sectors and their influencing factors," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1323-1343, June.
    59. Lin, Boqiang & Zhu, Junpeng, 2020. "Chinese electricity demand and electricity consumption efficiency: Do the structural changes matter?," Applied Energy, Elsevier, vol. 262(C).
    60. Du, Minzhe & Wang, Bing & Zhang, Ning, 2018. "National research funding and energy efficiency: Evidence from the National Science Foundation of China," Energy Policy, Elsevier, vol. 120(C), pages 335-346.
    61. Ouyang, Xiaoling & Wei, Xiaoyun & Sun, Chuanwang & Du, Gang, 2018. "Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China," Energy Policy, Elsevier, vol. 118(C), pages 573-583.
    62. Ouyang, Xiaoling & Chen, Jiaqi & Du, Kerui, 2021. "Energy efficiency performance of the industrial sector: From the perspective of technological gap in different regions in China," Energy, Elsevier, vol. 214(C).
    63. Feng, Chao & Wang, Miao, 2017. "The economy-wide energy efficiency in China’s regional building industry," Energy, Elsevier, vol. 141(C), pages 1869-1879.
    64. Xi Chen & Mingzhe Pu & Yu Zhong, 2022. "Evaluating China Food’s Fertilizer Reduction and Efficiency Initiative Using a Double Stochastic Meta-Frontier Method," IJERPH, MDPI, vol. 19(12), pages 1-21, June.
    65. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "Analysis of green total-factor productivity in China's regional metal industry: A meta-frontier approach," Resources Policy, Elsevier, vol. 58(C), pages 219-229.
    66. Shao, Jun & Wang, Lianghu, 2023. "Can new-type urbanization improve the green total factor energy efficiency? Evidence from China," Energy, Elsevier, vol. 262(PB).
    67. Walheer, Barnabé & Zhang, Linjia & Luo, Yingchan, 2020. "Bidirectional technological spillover in the Chinese star-rated hotel sector: An empirical investigation," Economic Modelling, Elsevier, vol. 86(C), pages 210-226.
    68. Xiongfeng Pan & Jing Zhang & Changyu Li & Xianyou Pan & Jinbo Song, 2019. "Analysis of China’s regional wind power generation efficiency and its influencing factors," Energy & Environment, , vol. 30(2), pages 254-271, March.
    69. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    70. Zhencheng Xing & Jigan Wang & Jie Zhang, 2017. "CO 2 Emission Performance, Mitigation Potential, and Marginal Abatement Cost of Industries Covered in China’s Nationwide Emission Trading Scheme: A Meta-Frontier Analysis," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    71. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    72. Gowangwoo Park & Seok-Kee Lee & Kanghwa Choi, 2021. "Evaluating the Service Operating Efficiency and Its Determinants in Global Consulting Firms: A Metafrontier Analysis," Sustainability, MDPI, vol. 13(18), pages 1-18, September.
    73. Chuang-Min Chao & Ming-Miin Yu & Nan-Hsing Hsiung & Li-Hsueh Chen, 2018. "Profitability efficiency, marketability efficiency and technology gaps in Taiwan’s banking industry: meta-frontier network data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 233-250, January.
    74. Hongzhang Chen & Haiwen Yang, 2020. "Measurement and Structural Factors Influencing China’s Provincial Total-Factor Energy Efficiency Under Resource and Environmental Constraints," SAGE Open, , vol. 10(3), pages 21582440209, July.
    75. Yu, Yantuan & Peng, Chong & Li, Yushuang, 2019. "Do neighboring prefectures matter in promoting eco-efficiency? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 456-465.
    76. Shui‐ying Jin & Xiao‐lin Zhou & Yung‐ho Chiu, 2021. "The parent–subsidiary knowledge transfer efficiency of Chinese–African multinational enterprises based on a metafrontier epsilon‐based measure model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 479-492, March.
    77. Zha, Jianping & Tan, Ting & Fan, Rong & Xu, Han & Ma, Siqi, 2020. "How to reduce energy intensity to achieve sustainable development of China's transport sector? A cross-regional comparison analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    78. Zhou, D.Q. & Wu, F. & Zhou, X. & Zhou, P., 2016. "Output-specific energy efficiency assessment: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 177(C), pages 117-126.
    79. Lin, Boqiang & Sai, Rockson, 2021. "A multi factor Malmquist CO2emission performance indices: Evidence from Sub Saharan African public thermal power plants," Energy, Elsevier, vol. 223(C).
    80. Adom, Philip Kofi & Adams, Samuel, 2020. "Decomposition of technical efficiency in agricultural production in Africa into transient and persistent technical efficiency under heterogeneous technologies," World Development, Elsevier, vol. 129(C).
    81. Lin, Boqiang & Sai, Rockson, 2022. "Sustainable transitioning in Africa: A historical evaluation of energy productivity changes and determinants," Energy, Elsevier, vol. 250(C).
    82. Senchang Hu & Shaoyi Li & Xiangxin Meng & Yingzheng Peng & Wenzhe Tang, 2023. "Study on Regional Differences of Carbon Emission Efficiency: Evidence from Chinese Construction Industry," Energies, MDPI, vol. 16(19), pages 1-20, September.
    83. Zheng, Saina & Lam, Chor-Man & Hsu, Shu-Chien & Ren, Jingzheng, 2018. "Evaluating efficiency of energy conservation measures in energy service companies in China," Energy Policy, Elsevier, vol. 122(C), pages 580-591.
    84. Kounetas, Konstantinos & Stergiou, Eirini, 2019. "Technology heterogeneity in European industries' energy efficiency performance. The role of climate, greenhouse gases, path dependence and energy mix," MPRA Paper 92314, University Library of Munich, Germany.
    85. Arjomandi, Amir & Seufert, Juergen Heinz, 2014. "An evaluation of the world's major airlines' technical and environmental performance," Economic Modelling, Elsevier, vol. 41(C), pages 133-144.
    86. Haifeng Huang & Tao Wang, 2017. "The Total-Factor Energy Efficiency of Regions in China: Based on Three-Stage SBM Model," Sustainability, MDPI, vol. 9(9), pages 1-20, September.
    87. Yang, Ranran & Long, Ruyin & Yue, Ting & Shi, Haihong, 2014. "Calculation of embodied energy in Sino-USA trade: 1997–2011," Energy Policy, Elsevier, vol. 72(C), pages 110-119.
    88. Vera-Gilces, Paul & Camino-Mogro, Segundo & Ordeñana-Rodríguez, Xavier & Cornejo-Marcos, Gino, 2020. "A look inside banking profitability: Evidence from a dollarized emerging country," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 147-166.
    89. Cenjie Liu & Chunbo Ma & Rui Xie, 2020. "Structural, Innovation and Efficiency Effects of Environmental Regulation: Evidence from China’s Carbon Emissions Trading Pilot," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(4), pages 741-768, April.
    90. Ding, Tao & Yang, Jie & Wu, Huaqing & Liang, Liang, 2022. "Land use efficiency and technology gaps of urban agglomerations in China: An extended non-radial meta-frontier approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    91. Xiangyu Teng & Danting Lu & Yung-ho Chiu, 2019. "Emission Reduction and Energy Performance Improvement with Different Regional Treatment Intensity in China," Energies, MDPI, vol. 12(2), pages 1-18, January.
    92. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    93. Pattnaik, Debidutta & Kumar, Satish & Burton, Bruce & Lim, Weng Marc, 2022. "Economic Modelling at thirty-five: A retrospective bibliometric survey," Economic Modelling, Elsevier, vol. 107(C).
    94. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
    95. Wang, Nannan & Chen, Ji & Yao, Shengnan & Chang, Yen-Chiang, 2018. "A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2606-2612.
    96. Sun, Chuanwang & Liu, Xiaohong & Li, Aijun, 2018. "Measuring unified efficiency of Chinese fossil fuel power plants: Intermediate approach combined with group heterogeneity and window analysis," Energy Policy, Elsevier, vol. 123(C), pages 8-18.
    97. Song, Malin & Mangla, Sachin Kumar & Wang, Jianlin & Zhao, Jiajia & An, Jiafu, 2022. "Asymmetric information, “coal-to-gas” transition and coal reduction potential: An analysis using the nonparametric production frontier method," Energy Economics, Elsevier, vol. 114(C).
    98. Kiril Simeonovski & Tamara Kaftandzieva & Gregory Brock, 2021. "Energy Efficiency Management across EU Countries: A DEA Approach," Energies, MDPI, vol. 14(9), pages 1-19, May.
    99. Lin, Boqiang & Chen, Xing, 2020. "How technological progress affects input substitution and energy efficiency in China: A case of the non-ferrous metals industry," Energy, Elsevier, vol. 206(C).
    100. Lin, Boqiang & Long, Houyin, 2014. "Promoting carbon emissions reduction in China's chemical process industry," Energy, Elsevier, vol. 77(C), pages 822-830.
    101. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    102. Fang-Rong Ren & Ze Tian & Yu-Ting Shen & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Energy, CO 2 , and AQI Efficiency and Improvement of the Yangtze River Economic Belt," Energies, MDPI, vol. 12(4), pages 1-17, February.
    103. Sun, Ya-Fang & Yu, Shiwei & Zhang, Yue-Jun & Su, Bin, 2023. "How do imports change the energy consumption of China? An analysis of its role in intermediate inputs and final demands," Energy, Elsevier, vol. 270(C).
    104. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
    105. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
    106. Bing Kuang & Jinjin Liu & Xiangyu Fan, 2022. "Has China’s Low-Carbon City Construction Enhanced the Green Utilization Efficiency of Urban Land?," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    107. Sun Meng & Wei Zhou & Jin Chen & Cheng Zhang, 2018. "A synthesized data envelopment analysis model and its application in resource efficiency evaluation and dynamic trend analysis," Energy & Environment, , vol. 29(2), pages 260-280, March.
    108. Yang, Jun & Zou, Ran & Cheng, Jixin & Geng, Zhifei & Li, Qi, 2023. "Environmental technical efficiency and its dynamic evolution in China's industry: A resource endowment perspective," Resources Policy, Elsevier, vol. 82(C).
    109. Lin, Boqiang & Du, Kerui, 2014. "Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy," Energy, Elsevier, vol. 76(C), pages 884-890.
    110. Fang, Zheng & Chen, Yang, 2017. "Human capital, energy, and economic development – Evidence from Chinese provincial data," RIEI Working Papers 2017-03, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    111. Jianglong Li & Zhi Li, 2018. "Understanding the role of economic transition in enlarging energy price elasticity," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(2), pages 253-281, April.
    112. Haiyan Deng & Ge Bai & Kristiaan Kerstens & Zhiyang Shen, 2023. "Comparing green productivity under convex and nonconvex technologies: Which is a robust approach consistent with energy structure?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(8), pages 4377-4394, December.
    113. Ning Zhang & Fanbin Kong & Chih-Chun Kung, 2015. "On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 389-404, October.
    114. Liu, Xiaohong & Yang, Jiangjiang & Xu, Chengzhen & Li, Xingchen & Zhu, Qingyuan, 2023. "Environmental regulation efficiency analysis by considering regional heterogeneity," Resources Policy, Elsevier, vol. 83(C).
    115. Xiaorong He & Jizhi Shi & Haichao Xu & Chaoyue Cai & Qiangsheng Hu, 2022. "Tourism Development, Carbon Emission Intensity and Urban Green Economic Efficiency from the Perspective of Spatial Effects," Energies, MDPI, vol. 15(20), pages 1-23, October.
    116. Tao Ding & Ya Chen & Huaqing Wu & Yuqi Wei, 2018. "Centralized fixed cost and resource allocation considering technology heterogeneity: a DEA approach," Annals of Operations Research, Springer, vol. 268(1), pages 497-511, September.
    117. Fang, Zheng & Chen, Yang, 2017. "Human capital and energy in economic growth – Evidence from Chinese provincial data," Energy Economics, Elsevier, vol. 68(C), pages 340-358.
    118. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.
    119. Jun Liu & Yu Qian & Yuanjun Yang & Zhidan Yang, 2022. "Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China," IJERPH, MDPI, vol. 19(4), pages 1-18, February.
    120. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Regional heterogeneity of China's energy efficiency in “new normal”: A meta-frontier Super-SBM analysis," Energy Policy, Elsevier, vol. 134(C).
    121. Huang, Junbing & Du, Dan & Hao, Yu, 2017. "The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations," Economic Modelling, Elsevier, vol. 65(C), pages 41-50.
    122. Nakaishi, Tomoaki & Takayabu, Hirotaka & Eguchi, Shogo, 2021. "Environmental efficiency analysis of China's coal-fired power plants considering heterogeneity in power generation company groups," Energy Economics, Elsevier, vol. 102(C).
    123. Fan, Jing-Li & Zhang, Hao & Zhang, Xian, 2020. "Unified efficiency measurement of coal-fired power plants in China considering group heterogeneity and technological gaps," Energy Economics, Elsevier, vol. 88(C).
    124. Wang, H. & Zhou, P. & Wang, Qunwei, 2016. "Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach," Energy, Elsevier, vol. 101(C), pages 218-228.
    125. Yu, Yantuan & Huang, Jianhuan & Zhang, Ning, 2019. "Modeling the eco-efficiency of Chinese prefecture-level cities with regional heterogeneities: A comparative perspective," Ecological Modelling, Elsevier, vol. 402(C), pages 1-17.
    126. Jorge Antunes & Abdollah Hadi-Vencheh & Ali Jamshidi & Yong Tan & Peter Wanke, 2022. "Bank efficiency estimation in China: DEA-RENNA approach," Annals of Operations Research, Springer, vol. 315(2), pages 1373-1398, August.
    127. Kounetas, Kostas & Napolitano, Oreste & Stavropoulos, Spyridon & Burger, Martijn, 2018. "European Regional Productive Performance under a Metafrontier Framework. The role of patents and human capital on technology gap?," MPRA Paper 88957, University Library of Munich, Germany, revised 17 Jul 2018.

  106. O' Mahony, Tadhg & Zhou, P. & Sweeney, John, 2013. "Integrated scenarios of energy-related CO2 emissions in Ireland: A multi-sectoral analysis to 2020," Ecological Economics, Elsevier, vol. 93(C), pages 385-397.

    Cited by:

    1. Liobikienė, Genovaitė & Butkus, Mindaugas & Bernatonienė, Jurga, 2016. "Drivers of greenhouse gas emissions in the Baltic states: decomposition analysis related to the implementation of Europe 2020 strategy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 309-317.
    2. O’ Mahony, Tadhg & Zhou, Peng & Sweeney, John, 2012. "The driving forces of change in energy-related CO2 emissions in Ireland: A multi-sectoral decomposition from 1990 to 2007," Energy Policy, Elsevier, vol. 44(C), pages 256-267.
    3. Wolfgang Weimer-Jehle & Stefan Vögele & Wolfgang Hauser & Hannah Kosow & Witold-Roger Poganietz & Sigrid Prehofer, 2020. "Socio-technical energy scenarios: state-of-the-art and CIB-based approaches," Climatic Change, Springer, vol. 162(4), pages 1723-1741, October.
    4. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    5. Zhang, Xi & Geng, Yong & Shao, Shuai & Dong, Huijuan & Wu, Rui & Yao, Tianli & Song, Jiekun, 2020. "How to achieve China’s CO2 emission reduction targets by provincial efforts? – An analysis based on generalized Divisia index and dynamic scenario simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    6. Zhen, Wei & Qin, Quande & Wei, Yi-Ming, 2017. "Spatio-temporal patterns of energy consumption-related GHG emissions in China's crop production systems," Energy Policy, Elsevier, vol. 104(C), pages 274-284.
    7. Lima, Fátima & Nunes, Manuel Lopes & Cunha, Jorge & Lucena, André F.P., 2016. "A cross-country assessment of energy-related CO2 emissions: An extended Kaya Index Decomposition Approach," Energy, Elsevier, vol. 115(P2), pages 1361-1374.
    8. Goh, Tian & Ang, B.W. & Xu, X.Y., 2018. "Quantifying drivers of CO2 emissions from electricity generation – Current practices and future extensions," Applied Energy, Elsevier, vol. 231(C), pages 1191-1204.
    9. Vögele, Stefan & Poganietz, Witold-Roger & Kleinebrahm, Max & Weimer-Jehle, Wolfgang & Bernhard, Jesse & Kuckshinrichs, Wilhelm & Weiss, Annika, 2022. "Dissemination of PV-Battery systems in the German residential sector up to 2050: Technological diffusion from multidisciplinary perspectives," Energy, Elsevier, vol. 248(C).
    10. Liobikienė, Genovaitė & Butkus, Mindaugas, 2017. "The European Union possibilities to achieve targets of Europe 2020 and Paris agreement climate policy," Renewable Energy, Elsevier, vol. 106(C), pages 298-309.
    11. Sheinbaum-Pardo, Claudia, 2016. "Decomposition analysis from demand services to material production: The case of CO2 emissions from steel produced for automobiles in Mexico," Applied Energy, Elsevier, vol. 174(C), pages 245-255.
    12. Weimer-Jehle, Wolfgang & Buchgeister, Jens & Hauser, Wolfgang & Kosow, Hannah & Naegler, Tobias & Poganietz, Witold-Roger & Pregger, Thomas & Prehofer, Sigrid & von Recklinghausen, Andreas & Schippl, , 2016. "Context scenarios and their usage for the construction of socio-technical energy scenarios," Energy, Elsevier, vol. 111(C), pages 956-970.
    13. Ang, B.W. & Goh, Tian, 2019. "Index decomposition analysis for comparing emission scenarios: Applications and challenges," Energy Economics, Elsevier, vol. 83(C), pages 74-87.
    14. Rosiane Serrano & Luis Henrique Rodrigues & Daniel Pacheco Lacerda & Priscila Bonalume Paraboni, 2018. "Systems Thinking and Scenario Planning: Application in the Clothing Sector," Systemic Practice and Action Research, Springer, vol. 31(5), pages 509-537, October.

  107. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.

    Cited by:

    1. Li, J.S. & Xia, X.H. & Chen, G.Q. & Alsaedi, A. & Hayat, T., 2016. "Optimal embodied energy abatement strategy for Beijing economy: Based on a three-scale input-output analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1602-1610.
    2. Seifert, Stefan, 2015. "Productivity Growth and its Sources - A StoNED Metafrontier Analyis of the German Electricity Generating Sector," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112975, Verein für Socialpolitik / German Economic Association.
    3. Lin Zhu & Lichun He & Peipei Shang & Yingchun Zhang & Xiaojun Ma, 2018. "Influencing Factors and Scenario Forecasts of Carbon Emissions of the Chinese Power Industry: Based on a Generalized Divisia Index Model and Monte Carlo Simulation," Energies, MDPI, vol. 11(9), pages 1-26, September.
    4. Choi, Yongrok & Liu, Yu & Lee, Hyoungseok, 2017. "The economy impacts of Korean ETS with an emphasis on sectoral coverage based on a CGE approach," Energy Policy, Elsevier, vol. 109(C), pages 835-844.
    5. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    6. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
    7. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    8. Sheng, Jichuan & Qiu, Wenge, 2023. "Inter-basin water transfer policies and water-use technical efficiency: China's South-North Water Transfer Project," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    9. Yongrok Choi & Hyoung Seok Lee, 2016. "Are Emissions Trading Policies Sustainable? A Study of the Petrochemical Industry in Korea," Sustainability, MDPI, vol. 8(11), pages 1-13, October.
    10. Qunwei Wang & Peng Zhou & Zengyao Zhao & Neng Shen, 2014. "Energy Efficiency and Energy Saving Potential in China: A Directional Meta-Frontier DEA Approach," Sustainability, MDPI, vol. 6(8), pages 1-17, August.
    11. Yongyi Cheng & Liheng Lu & Tianyuan Shao & Manhong Shen & Laiqun Jin, 2018. "Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China: Based on a SSBM-GMI Approach," IJERPH, MDPI, vol. 15(12), pages 1-23, December.
    12. Jip Leendertse & Frank J. van Rijnsoever & Chris P. Eveleens, 2021. "The sustainable start‐up paradox: Predicting the business and climate performance of start‐ups," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1019-1036, February.
    13. Jian Song & Jing Wang & Zhe Chen, 2022. "How Low-Carbon Pilots Affect Chinese Urban Energy Efficiency: An Explanation from Technological Progress," IJERPH, MDPI, vol. 19(23), pages 1, November.
    14. Fan Jianping & Yue Weizhen & Wu Meiqin, 2015. "Dealing with Interval DEA Based on Error Propagation and Entropy: A Case Study of Energy Efficiency of Regions in China Considering Environmental Factors," Journal of Systems Science and Information, De Gruyter, vol. 3(6), pages 538-548, December.
    15. Chunbo Ma and Atakelty Hailu, 2016. "The Marginal Abatement Cost of Carbon Emissions in China," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    16. Tan, Xiujie & Choi, Yongrok & Wang, Banban & Huang, Xiaoqi, 2020. "Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    17. Zhou, Jun & Yin, Zhichao & Yue, Pengpeng, 2023. "The impact of access to credit on energy efficiency," Finance Research Letters, Elsevier, vol. 51(C).
    18. Stefan Seifert & Astrid Cullmann & Christian von Hirschhausen, 2014. "Technical Efficiency and CO2 Reduction Potentials: An Analysis of the German Electricity Generating Sector," Discussion Papers of DIW Berlin 1426, DIW Berlin, German Institute for Economic Research.
    19. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    20. Shiyi Chen & Shujian Zhang, 2014. "Large-Scale Land Use for Construction and Energy Consumption after the New Millennium with Their Impact on Total-Factor Efficiency Change in China’s Regional Economy," Energies, MDPI, vol. 7(4), pages 1-18, March.
    21. Seifert, Stefan & Cullmann, Astrid & von Hirschhausen, Christian, 2016. "Technical efficiency and CO2 reduction potentials — An analysis of the German electricity and heat generating sector," Energy Economics, Elsevier, vol. 56(C), pages 9-19.
    22. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    23. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    24. Mohsen Afsharian, 2020. "A metafrontier-based yardstick competition mechanism for incentivising units in centrally managed multi-group organisations," Annals of Operations Research, Springer, vol. 288(2), pages 681-700, May.
    25. Wang, Zhaohua & He, Weijun & Wang, Bo, 2017. "Performance and reduction potential of energy and CO2 emissions among the APEC's members with considering the return to scale," Energy, Elsevier, vol. 138(C), pages 552-562.
    26. Afsharian, Mohsen & Ahn, Heinz & Harms, Sören Guntram, 2019. "Performance comparison of management groups under centralised management," European Journal of Operational Research, Elsevier, vol. 278(3), pages 845-854.
    27. Lei Wang & Wei Li & Guomin Li & Guozhen Zhang, 2021. "Concept Evolution and Multi-Dimensional Measurement Comparison of Urban Energy Performance from the Perspective of System Correlation: Empirical Analysis of 142 Prefecture Level Cities in China," IJERPH, MDPI, vol. 18(24), pages 1-21, December.
    28. Fan Yang & Yongrok Choi & Hyoungsuk Lee, 2021. "Convergence or Divergence? Emission Performance in the Regional Comprehensive Economic Partnership Countries," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    29. Yanni Yu & Yongrok Choi, 2015. "Measuring Environmental Performance Under Regional Heterogeneity in China: A Metafrontier Efficiency Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 375-388, October.
    30. Yongrok Choi & Hyoung Seok Lee & Ahmed Mastur, 2019. "Are Sustainable Development Policies Really Feasible? Focused on the Petrochemical Industry in Korea," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
    31. Zhang, Yue-Jun & Jiang, Lin & Shi, Wei, 2020. "Exploring the growth-adjusted energy-emission efficiency of transportation industry in China," Energy Economics, Elsevier, vol. 90(C).
    32. Ping Wang & Bangzhu Zhu & Xueping Tao & Rui Xie, 2017. "Measuring regional energy efficiencies in China: a meta-frontier SBM-Undesirable approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 793-809, January.
    33. Badau, Flavius & Färe, Rolf & Gopinath, Munisamy, 2016. "Global resilience to climate change: Examining global economic and environmental performance resulting from a global carbon dioxide market," Resource and Energy Economics, Elsevier, vol. 45(C), pages 46-64.
    34. Wen Guo & Tao Sun & Hongjun Dai, 2016. "Effect of Population Structure Change on Carbon Emission in China," Sustainability, MDPI, vol. 8(3), pages 1-20, March.
    35. Zhao, Rui & Zhou, Xiao & Han, Jiaojie & Liu, Chengliang, 2016. "For the sustainable performance of the carbon reduction labeling policies under an evolutionary game simulation," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 262-274.
    36. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    37. Vincent Charles & Guillermo Díaz, 2017. "A Non-radial DEA Index for Peruvian Regional Competitiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(2), pages 747-770, November.
    38. Kounetas, Kostas & Zervopoulos, Panagiotis, 2017. "Annex I and non-Annex I countries’productive performance revisited using a generalized directional distance function under a metafrontier framework: Is there any convergence-divergence pattern for tec," MPRA Paper 80904, University Library of Munich, Germany.
    39. Yongyi Cheng & Tianyuan Shao & Huilin Lai & Manhong Shen & Yi Li, 2019. "Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China," IJERPH, MDPI, vol. 16(20), pages 1-14, October.
    40. Lin, Boqiang & Sai, Rockson, 2022. "Towards low carbon economy: Performance of electricity generation and emission reduction potential in Africa," Energy, Elsevier, vol. 251(C).
    41. Yeo, M.J. & Kim, Y.P., 2016. "Changes of the carbon dioxide emissions and the overshoot ratio resulting from the implementation of the 2nd Energy Master Plan in the Republic of Korea," Energy Policy, Elsevier, vol. 96(C), pages 241-250.
    42. Zhang, Yijun & Song, Yi, 2020. "Unified efficiency of coal mining enterprises in China: An analysis based on meta-frontier non-radial directional distance functions," Resources Policy, Elsevier, vol. 65(C).
    43. Lee, Hyoungsuk & Choi, Yongrok, 2018. "Greenhouse gas performance of Korean local governments based on non-radial DDF," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 13-21.
    44. Lin, Boqiang & Chen, Yu, 2020. "Transportation infrastructure and efficient energy services: A perspective of China's manufacturing industry," Energy Economics, Elsevier, vol. 89(C).
    45. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    46. Wu, F. & Zhou, P. & Zhou, D.Q., 2020. "Modeling carbon emission performance under a new joint production technology with energy input," Energy Economics, Elsevier, vol. 92(C).
    47. Zhang, Ning & Choi, Yongrok, 2013. "A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and Korea," Energy Policy, Elsevier, vol. 62(C), pages 324-332.
    48. Yu, Shiwei & Wei, Yi-Ming & Wang, Ke, 2014. "Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition," Energy Policy, Elsevier, vol. 66(C), pages 630-644.
    49. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    50. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2016. "Environmental investment and firm performance: A network approach," Energy Economics, Elsevier, vol. 57(C), pages 243-255.
    51. Zhang, Ning & Kong, Fanbin & Choi, Yongrok, 2014. "Measuring sustainability performance for China: A sequential generalized directional distance function approach," Economic Modelling, Elsevier, vol. 41(C), pages 392-397.
    52. Zhang, Jie & Zhang, Ke & Zhao, Feng, 2020. "Research on the regional spatial effects of green development and environmental governance in China based on a spatial autocorrelation model," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 1-11.
    53. Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).
    54. Ye, Chusheng & Ye, Qin & Shi, Xunpeng & Sun, Yongping, 2020. "Technology gap, global value chain and carbon intensity: Evidence from global manufacturing industries," Energy Policy, Elsevier, vol. 137(C).
    55. Mingyue Chen & Shuting Wang & Xiaowen Wang, 2024. "How Does Artificial Intelligence Impact Green Development? Evidence from China," Sustainability, MDPI, vol. 16(3), pages 1-23, February.
    56. David C Broadstock & Jiajia Li & Dayong Zhang, 2015. "Efficiency Snakes and Energy Ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 151, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    57. Li, Aijun & Zhang, Aizhen & Huang, Huijie & Yao, Xin, 2018. "Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions," Energy, Elsevier, vol. 152(C), pages 549-561.
    58. van Rijnsoever, Frank J., 2022. "Intermediaries for the greater good: How entrepreneurial support organizations can embed constrained sustainable development startups in entrepreneurial ecosystems," Research Policy, Elsevier, vol. 51(2).
    59. Zhang, Yue-Jun & Sun, Ya-Fang & Huang, Junling, 2018. "Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment," Energy Policy, Elsevier, vol. 115(C), pages 119-130.
    60. Qian Wang & Jinbao Yang & Yung‐ho Chiu & Tai‐Yu Lin, 2020. "The impact of digital finance on financial efficiency," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(7), pages 1225-1236, October.
    61. Ya Chen & Wei Xu & Qian Zhou & Zhixiang Zhou, 2020. "Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    62. Duman, Yavuz Selman & Kasman, Adnan, 2018. "Environmental technical efficiency in EU member and candidate countries: A parametric hyperbolic distance function approach," Energy, Elsevier, vol. 147(C), pages 297-307.
    63. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    64. Guoping Mei & Jingyi Gan & Ning Zhang, 2015. "Metafrontier Environmental Efficiency for China’s Regions: A Slack-Based Efficiency Measure," Sustainability, MDPI, vol. 7(4), pages 1-18, April.
    65. Yung-Hsiang Lu & Ku-Hsieh Chen & Jen-Chi Cheng & Chih-Chun Chen & Sian-Yuan Li, 2019. "Analysis of Environmental Productivity on Fossil Fuel Power Plants in the U.S," Sustainability, MDPI, vol. 11(24), pages 1-27, December.
    66. Stefan Seifert, 2015. "Measuring Productivity When Technologies Are Heterogeneous: A Semi-Parametric Approach for Electricity Generation," Discussion Papers of DIW Berlin 1526, DIW Berlin, German Institute for Economic Research.
    67. Ana Claudia Sant'Anna & Jason S. Bergtold & Aleksan Shanoyan & Gabriel Granco & Marcellus M. Caldas, 2018. "Examining the relationship between vertical coordination strategies and technical efficiency: Evidence from the Brazilian ethanol industry," Agribusiness, John Wiley & Sons, Ltd., vol. 34(4), pages 793-812, October.
    68. Yao, Xin & Zhou, Hongchen & Zhang, Aizhen & Li, Aijun, 2015. "Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis," Energy Policy, Elsevier, vol. 84(C), pages 142-154.
    69. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    70. Yu, Ming-Miin & See, Kok Fong & Hsiao, Bo, 2022. "Integrating group frontier and metafrontier directional distance functions to evaluate the efficiency of production units," European Journal of Operational Research, Elsevier, vol. 301(1), pages 254-276.
    71. Napolitano, Oreste & Foresti, Pasquale & Kounetas, Konstantinos & Spagnolo, Nicola, 2023. "The impact of energy, renewable and CO2 emissions efficiency on countries’ productivity," Energy Economics, Elsevier, vol. 125(C).
    72. Ouyang, Xiaoling & Chen, Jiaqi & Du, Kerui, 2021. "Energy efficiency performance of the industrial sector: From the perspective of technological gap in different regions in China," Energy, Elsevier, vol. 214(C).
    73. Kejia Chu & Ning Zhang & Zhongfei Chen, 2015. "The Efficiency and Its Determinants for China’s Medical Care System: Some Policy Implications for Northeast Asia," Sustainability, MDPI, vol. 7(10), pages 1-20, October.
    74. Sheng, Jichuan & Qiu, Wenge, 2022. "Water-use technical efficiency and income: Evidence from China's South-North Water Transfer Project," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    75. Hyoung Seok Lee & Yongrok Choi, 2019. "Environmental Performance Evaluation of the Korean Manufacturing Industry Based on Sequential DEA," Sustainability, MDPI, vol. 11(3), pages 1-14, February.
    76. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis," Energy Economics, Elsevier, vol. 48(C), pages 217-229.
    77. Yu, Yanni & Qian, Tao & Du, Limin, 2017. "Carbon productivity growth, technological innovation, and technology gap change of coal-fired power plants in China," Energy Policy, Elsevier, vol. 109(C), pages 479-487.
    78. Feng, Chao & Wang, Miao, 2017. "The economy-wide energy efficiency in China’s regional building industry," Energy, Elsevier, vol. 141(C), pages 1869-1879.
    79. Ze Tian & Fang-Rong Ren & Qin-Wen Xiao & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Cross-Regional Comparative Study on Carbon Emission Efficiency of China’s Yangtze River Economic Belt Based on the Meta-Frontier," IJERPH, MDPI, vol. 16(4), pages 1-19, February.
    80. Shao, Jun & Wang, Lianghu, 2023. "Can new-type urbanization improve the green total factor energy efficiency? Evidence from China," Energy, Elsevier, vol. 262(PB).
    81. Wei, Chu & Löschel, Andreas & Liu, Bing, 2015. "Energy-saving and emission-abatement potential of Chinese coal-fired power enterprise: A non-parametric analysis," Energy Economics, Elsevier, vol. 49(C), pages 33-43.
    82. Chia-Nan Wang & Hong-Xuyen Thi Ho & Ming-Hsien Hsueh, 2017. "An Integrated Approach for Estimating the Energy Efficiency of Seventeen Countries," Energies, MDPI, vol. 10(10), pages 1-16, October.
    83. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    84. Zhen Shi & Fengping Wu & Huinan Huang & Xinrui Sun & Lina Zhang, 2019. "Comparing Economics, Environmental Pollution and Health Efficiency in China," IJERPH, MDPI, vol. 16(23), pages 1-30, December.
    85. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    86. Zhencheng Xing & Jigan Wang & Jie Zhang, 2017. "CO 2 Emission Performance, Mitigation Potential, and Marginal Abatement Cost of Industries Covered in China’s Nationwide Emission Trading Scheme: A Meta-Frontier Analysis," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    87. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    88. Zha, Donglan & Yang, Guanglei & Wang, Qunwei, 2019. "Investigating the driving factors of regional CO2 emissions in China using the IDA-PDA-MMI method," Energy Economics, Elsevier, vol. 84(C).
    89. Sueyoshi, Toshiyuki & Goto, Mika, 2015. "Environmental assessment on coal-fired power plants in U.S. north-east region by DEA non-radial measurement," Energy Economics, Elsevier, vol. 50(C), pages 125-139.
    90. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    91. Lin, Boqiang & Chen, Yu, 2020. "Will land transport infrastructure affect the energy and carbon dioxide emissions performance of China’s manufacturing industry?," Applied Energy, Elsevier, vol. 260(C).
    92. Pei-Pei Jiang & Yuan Wang & Jin Luo & Lin Zhu & Rui Shi & Song Hu & Xiaodong Zhu, 2023. "Measuring static and dynamic industrial eco-efficiency in China based on the MinDS–Malmquist–Luenberger model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 5241-5261, June.
    93. Sueyoshi, Toshiyuki & Goto, Mika, 2015. "Japanese fuel mix strategy after disaster of Fukushima Daiichi nuclear power plant: Lessons from international comparison among industrial nations measured by DEA environmental assessment in time hori," Energy Economics, Elsevier, vol. 52(PA), pages 87-103.
    94. Halkos, George & Petrou, Kleoniki Natalia, 2019. "Treating undesirable outputs in DEA: A critical review," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 97-104.
    95. Qunwei Wang & Ye Hang & Jin‐Li Hu & Ching‐Ren Chiu, 2018. "An alternative metafrontier framework for measuring the heterogeneity of technology," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(5), pages 427-445, August.
    96. Lin, Boqiang & Xu, Mengmeng, 2018. "Regional differences on CO2 emission efficiency in metallurgical industry of China," Energy Policy, Elsevier, vol. 120(C), pages 302-311.
    97. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    98. Lin, Boqiang & Sai, Rockson, 2021. "A multi factor Malmquist CO2emission performance indices: Evidence from Sub Saharan African public thermal power plants," Energy, Elsevier, vol. 223(C).
    99. Ogunrinde, Olawale & Shittu, Ekundayo, 2023. "Efficiency and productivity of renewable energy technologies: Evidence from U.S. investor-owned utilities across regional markets," Utilities Policy, Elsevier, vol. 82(C).
    100. Yongrok Choi & Hyoungsuk Lee & Jahira Debbarma, 2020. "Are Global Companies Better in Environmental Efficiency in India? Based on Metafrontier Malmquist CO 2 Performance," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    101. Chen, Ya & Pan, Yongbin & Wang, Mengyuan & Ding, Tao & Zhou, Zhixiang & Wang, Ke, 2023. "How do industrial sectors contribute to carbon peaking and carbon neutrality goals? A heterogeneous energy efficiency analysis for Beijing," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 67-80.
    102. Zhigang Zhu & Xuping Zhang & Yujia Wang & Xiang Chen, 2021. "Energy Cost Performance of Thermal Power Industry in China Considering Regional Heterogeneity: A Meta-Frontier Cost Malmquist Productivity Decomposition Approach," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    103. Nabavieh, Alireza & Gholamiangonabadi, Davoud & Ahangaran, Ali Asghar, 2015. "Dynamic changes in CO2 emission performance of different types of Iranian fossil-fuel power plants," Energy Economics, Elsevier, vol. 52(PA), pages 142-150.
    104. Kuang, Yunming & Lin, Boqiang, 2022. "Natural gas resource utilization, environmental policy and green economic development: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    105. Kounetas, Konstantinos & Stergiou, Eirini, 2019. "Technology heterogeneity in European industries' energy efficiency performance. The role of climate, greenhouse gases, path dependence and energy mix," MPRA Paper 92314, University Library of Munich, Germany.
    106. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    107. Ding, Tao & Yang, Jie & Wu, Huaqing & Liang, Liang, 2022. "Land use efficiency and technology gaps of urban agglomerations in China: An extended non-radial meta-frontier approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    108. Xiangyu Teng & Danting Lu & Yung-ho Chiu, 2019. "Emission Reduction and Energy Performance Improvement with Different Regional Treatment Intensity in China," Energies, MDPI, vol. 12(2), pages 1-18, January.
    109. Hanif, Imran & Faraz Raza, Syed Muhammad & Gago-de-Santos, Pilar & Abbas, Qaiser, 2019. "Fossil fuels, foreign direct investment, and economic growth have triggered CO2 emissions in emerging Asian economies: Some empirical evidence," Energy, Elsevier, vol. 171(C), pages 493-501.
    110. Qingyou Yan & Yaxian Wang & Tomas Baležentis & Yikai Sun & Dalia Streimikiene, 2018. "Energy-Related CO 2 Emission in China’s Provincial Thermal Electricity Generation: Driving Factors and Possibilities for Abatement," Energies, MDPI, vol. 11(5), pages 1-25, April.
    111. Ling Wang & Zhongchang Chen & Dalai Ma & Pei Zhao, 2013. "Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis," Sustainability, MDPI, vol. 5(12), pages 1-14, December.
    112. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    113. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.
    114. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    115. Wang, Nannan & Chen, Ji & Yao, Shengnan & Chang, Yen-Chiang, 2018. "A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2606-2612.
    116. Liu, Guangtian & Wang, Bing & Zhang, Ning, 2016. "A coin has two sides: Which one is driving China’s green TFP growth?," Economic Systems, Elsevier, vol. 40(3), pages 481-498.
    117. Sun, Chuanwang & Liu, Xiaohong & Li, Aijun, 2018. "Measuring unified efficiency of Chinese fossil fuel power plants: Intermediate approach combined with group heterogeneity and window analysis," Energy Policy, Elsevier, vol. 123(C), pages 8-18.
    118. Danish I. Godil & Zhang Yu & Arshian Sharif & Rimsha Usman & Syed Abdul Rehman Khan, 2021. "Investigate the role of technology innovation and renewable energy in reducing transport sector CO2 emission in China: A path toward sustainable development," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(4), pages 694-707, July.
    119. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    120. Yongrok Choi & Chao Qi, 2019. "Is South Korea’s Emission Trading Scheme Effective? An Analysis Based on the Marginal Abatement Cost of Coal-Fueled Power Plants," Sustainability, MDPI, vol. 11(9), pages 1-12, April.
    121. Víctor Giménez & Claudio Thieme & Diego Prior & Emili Tortosa-Ausina, 2017. "An international comparison of educational systems: a temporal analysis in presence of bad outputs," Journal of Productivity Analysis, Springer, vol. 47(1), pages 83-101, February.
    122. Atems, Bebonchu & Mette, Jehu & Lin, Guoyu & Madraki, Golshan, 2023. "Estimating and forecasting the impact of nonrenewable energy prices on US renewable energy consumption," Energy Policy, Elsevier, vol. 173(C).
    123. Chao Qi & Yongrok Choi, 2019. "A Study of the Feasibility of International ETS Cooperation between Shanghai and Korea from Environmental Efficiency and CO 2 Marginal Abatement Cost Perspectives," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    124. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    125. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    126. Jithin, E.V. & Raghuram, G.K.S. & Keshavamurthy, T.V. & Velamati, Ratna Kishore & Prathap, Chockalingam & Varghese, Robin John, 2021. "A review on fundamental combustion characteristics of syngas mixtures and feasibility in combustion devices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    127. Kounetas, Konstantinos & Zervopoulos, Panagiotis D., 2019. "A cross-country evaluation of environmental performance: Is there a convergence-divergence pattern in technology gaps?," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1136-1148.
    128. Yang, Jun & Zou, Ran & Cheng, Jixin & Geng, Zhifei & Li, Qi, 2023. "Environmental technical efficiency and its dynamic evolution in China's industry: A resource endowment perspective," Resources Policy, Elsevier, vol. 82(C).
    129. Sahoo, Biresh K. & Singh, Ramadhar & Mishra, Bineet & Sankaran, Krithiga, 2017. "Research productivity in management schools of India during 1968-2015: A directional benefit-of-doubt model analysis," Omega, Elsevier, vol. 66(PA), pages 118-139.
    130. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    131. Du, Limin & Hanley, Aoife & Zhang, Ning, 2016. "Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis," Resource and Energy Economics, Elsevier, vol. 43(C), pages 14-32.
    132. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    133. Qian Wang & Zhuoya Du & Boyu Wang & Yung‐ho Chiu & Tzu‐Han Chang, 2022. "Environmental regulation and foreign direct investment attractiveness: Evidence from China provinces," Review of Development Economics, Wiley Blackwell, vol. 26(2), pages 899-917, May.
    134. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    135. Zhang, Ning & Wang, Bing, 2015. "A deterministic parametric metafrontier Luenberger indicator for measuring environmentally-sensitive productivity growth: A Korean fossil-fuel power case," Energy Economics, Elsevier, vol. 51(C), pages 88-98.
    136. Limin Du & Aoife Hanley & Chu Wei, 2015. "Marginal Abatement Costs of Carbon Dioxide Emissions in China: A Parametric Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(2), pages 191-216, June.
    137. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
    138. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Regional heterogeneity of China's energy efficiency in “new normal”: A meta-frontier Super-SBM analysis," Energy Policy, Elsevier, vol. 134(C).
    139. Yugang He, 2022. "Investigating the Routes toward Environmental Sustainability: Fresh Insights from Korea," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    140. Peng Zheng & Lingling Zhu & Wei Lu & Xin Yao, 2021. "The effects of electricity substitution in Fujian: based on microdata survey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 9320-9335, June.
    141. Halkos, George & Petrou, Kleoniki Natalia, 2018. "A critical review of the main methods to treat undesirable outputs in DEA," MPRA Paper 90374, University Library of Munich, Germany.
    142. Wei Xu & Jiahui Yi & Jinhua Cheng, 2022. "The Heterogeneity of High-Quality Economic Development in China’s Mining Cities: A Meta Frontier Function," IJERPH, MDPI, vol. 19(11), pages 1-23, May.
    143. Jun Zhou & Zhichao Yin & Pengpeng Yue, 2022. "The impact of access to credit on energy efficiency," Papers 2211.08871, arXiv.org.
    144. Yongrok Choi & Fan Yang & Hyoungsuk Lee, 2020. "On the Unbalanced Atmospheric Environmental Performance of Major Cities in China," Sustainability, MDPI, vol. 12(13), pages 1-14, July.
    145. Wang, H. & Zhou, P. & Wang, Qunwei, 2016. "Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach," Energy, Elsevier, vol. 101(C), pages 218-228.
    146. Yu, Yantuan & Huang, Jianhuan & Zhang, Ning, 2019. "Modeling the eco-efficiency of Chinese prefecture-level cities with regional heterogeneities: A comparative perspective," Ecological Modelling, Elsevier, vol. 402(C), pages 1-17.
    147. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.
    148. Afsharian, Mohsen & Podinovski, Victor V., 2018. "A linear programming approach to efficiency evaluation in nonconvex metatechnologies," European Journal of Operational Research, Elsevier, vol. 268(1), pages 268-280.
    149. Yu, Shasha & Yuan, Xuanyu & Yao, Xinyan & Lei, Ming, 2022. "Carbon leakage and low-carbon performance: Heterogeneity of responsibility perspectives," Energy Policy, Elsevier, vol. 165(C).
    150. Zebin Zheng & Wenjun Xiao & Ziye Cheng, 2023. "China’s Green Total Factor Energy Efficiency Assessment Based on Coordinated Reduction in Pollution and Carbon Emission: From the 11th to the 13th Five-Year Plan," Sustainability, MDPI, vol. 15(9), pages 1-20, April.

  108. Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.

    Cited by:

    1. Sun, Huaping & Edziah, Bless Kofi & Kporsu, Anthony Kwaku & Sarkodie, Samuel Asumadu & Taghizadeh-Hesary, Farhad, 2021. "Energy efficiency: The role of technological innovation and knowledge spillover," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    2. Martchamadol, Jutamanee & Kumar, S., 2013. "An aggregated energy security performance indicator," Applied Energy, Elsevier, vol. 103(C), pages 653-670.
    3. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
    4. Lita Iulian & Stamule Tănase, 2018. "Using non-parametric technical data envelopment analysis - DEA, for measuring productive technical efficiency," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 12(1), pages 533-543, May.
    5. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    6. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    7. Qunwei Wang & Peng Zhou & Zengyao Zhao & Neng Shen, 2014. "Energy Efficiency and Energy Saving Potential in China: A Directional Meta-Frontier DEA Approach," Sustainability, MDPI, vol. 6(8), pages 1-17, August.
    8. Wu, Jie & Li, Mingjun & Zhu, Qingyuan & Zhou, Zhixiang & Liang, Liang, 2019. "Energy and environmental efficiency measurement of China's industrial sectors: A DEA model with non-homogeneous inputs and outputs," Energy Economics, Elsevier, vol. 78(C), pages 468-480.
    9. Xiaobo Shen & Boqiang Lin, 2017. "Total Factor Energy Efficiency of China’s Industrial Sector: A Stochastic Frontier Analysis," Sustainability, MDPI, vol. 9(4), pages 1-17, April.
    10. Ouyang, Xiaoling & Sun, Chuanwang, 2015. "Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency," Energy Economics, Elsevier, vol. 48(C), pages 117-126.
    11. Lin, Boqiang & Li, Zheng, 2022. "Towards world's low carbon development: The role of clean energy," Applied Energy, Elsevier, vol. 307(C).
    12. Wang, H. & Zhou, D.Q. & Zhou, P. & Zha, D.L., 2012. "Direct rebound effect for passenger transport: Empirical evidence from Hong Kong," Applied Energy, Elsevier, vol. 92(C), pages 162-167.
    13. Li, Ming-Jia & Song, Chen-Xi & Tao, Wen-Quan, 2016. "A hybrid model for explaining the short-term dynamics of energy efficiency of China’s thermal power plants," Applied Energy, Elsevier, vol. 169(C), pages 738-747.
    14. Ke Wang & Xian Zhang & Yi-Ming Wei & Shiwei Yu, 2011. "Regional allocation of CO2 emissions allowance over provinces in China by 2020," CEEP-BIT Working Papers 18, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    15. Jiang, Lei & Folmer, Henk & Ji, Minhe & Zhou, P., 2018. "Revisiting cross-province energy intensity convergence in China: A spatial panel analysis," Energy Policy, Elsevier, vol. 121(C), pages 252-263.
    16. Zheming Yan & Rui Shi & Zhiming Yang, 2018. "ICT Development and Sustainable Energy Consumption: A Perspective of Energy Productivity," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    17. Song, Chenxi & Li, Mingjia & Wen, Zhexi & He, Ya-Ling & Tao, Wen-Quan & Li, Yangzhe & Wei, Xiangyang & Yin, Xiaolan & Huang, Xing, 2014. "Research on energy efficiency evaluation based on indicators for industry sectors in China," Applied Energy, Elsevier, vol. 134(C), pages 550-562.
    18. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    19. Boyd, Gale A. & Lee, Jonathan M., 2019. "Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis," Energy Economics, Elsevier, vol. 81(C), pages 159-174.
    20. Morakinyo O. Adetutu, Anthony J. Glass, and Thomas G. Weyman-Jones, 2016. "Economy-wide Estimates of Rebound Effects: Evidence from Panel Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    21. Yan, Zheming & Ouyang, Xiaoling & Du, Kerui, 2019. "Economy-wide estimates of energy rebound effect: Evidence from China's provinces," Energy Economics, Elsevier, vol. 83(C), pages 389-401.
    22. Chia-Jung Tu & Ming-Chung Chang & Chiang-Ping Chen, 2016. "Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS," Sustainability, MDPI, vol. 8(9), pages 1-17, September.
    23. Barros, Carlos Pestana & Chen, Zhongfei & Managi, Shunsuke & Antunes, Olinda Sequeira, 2013. "Examining the cost efficiency of Chinese hydroelectric companies using a finite mixture model," Energy Economics, Elsevier, vol. 36(C), pages 511-517.
    24. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2019. "Institutional quality, green innovation and energy efficiency," Energy Policy, Elsevier, vol. 135(C).
    25. Hengfan Lu & Jiachao Peng & Xiangyi Lu, 2022. "Do Factor Market Distortions and Carbon Dioxide Emissions Distort Energy Industry Chain Technical Efficiency? A Heterogeneous Stochastic Frontier Analysis," Energies, MDPI, vol. 15(17), pages 1-22, August.
    26. Mark A. Andor & David H. Bernstein & Stephan Sommer, 2021. "Determining the efficiency of residential electricity consumption," Empirical Economics, Springer, vol. 60(6), pages 2897-2923, June.
    27. Lin, Boqiang & Zhu, Runqing, 2022. "How does market-oriented reform influence the rebound effect of China’s mining industry?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 34-44.
    28. Chuanxin Xia & Yu Zhao & Qingxia Zhao & Shuo Wang & Ning Zhang, 2022. "Exact Eco-Efficiency Measurement in the Yellow River Basin: A New Non-Parametric Approach," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    29. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    30. Lutz, Benjamin Johannes & Massier, Philipp & Sommerfeld, Katrin & Löschel, Andreas, 2017. "Drivers of energy efficiency in German manufacturing: A firm-level stochastic frontier analysis," CAWM Discussion Papers 99, University of Münster, Münster Center for Economic Policy (MEP).
    31. Jebali, Eya & Essid, Hédi & Khraief, Naceur, 2017. "The analysis of energy efficiency of the Mediterranean countries: A two-stage double bootstrap DEA approach," Energy, Elsevier, vol. 134(C), pages 991-1000.
    32. Opeyemi Akinyemi & Philip O. Alege & Oluseyi O. Ajayi & Lloyd Amaghionyeodiwe & Adeyemi A. Ogundipe, 2015. "Fuel Subsidy Reform and Environmental Quality in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 540-549.
    33. May, Gökan & Barletta, Ilaria & Stahl, Bojan & Taisch, Marco, 2015. "Energy management in production: A novel method to develop key performance indicators for improving energy efficiency," Applied Energy, Elsevier, vol. 149(C), pages 46-61.
    34. Li, Jianglong & Lin, Boqiang, 2017. "Does energy and CO2 emissions performance of China benefit from regional integration?," Energy Policy, Elsevier, vol. 101(C), pages 366-378.
    35. Hu, Yucai & Li, Ranran & Du, Lei & Ren, Shenggang & Chevallier, Julien, 2022. "Could SO2 and CO2 emissions trading schemes achieve co-benefits of emissions reduction?," Energy Policy, Elsevier, vol. 170(C).
    36. Tan, Ruipeng & Lin, Boqiang & Liu, Xiying, 2019. "Impacts of eliminating the factor distortions on energy efficiency—A focus on China's secondary industry," Energy, Elsevier, vol. 183(C), pages 693-701.
    37. Li, Ming-Jia & Tao, Wen-Quan, 2017. "Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry," Applied Energy, Elsevier, vol. 187(C), pages 203-215.
    38. Calvin Nsangou, Jean & Kenfack, Joseph & Nzotcha, Urbain & Tamo, Thomas Tatietse, 2020. "Assessment of the potential for electricity savings in households in Cameroon: A stochastic frontier approach," Energy, Elsevier, vol. 211(C).
    39. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    40. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Yan, Ming-Zhe & Wang, Jian-Lin & Xie, Bai-Chen, 2019. "Which provincial administrative regions in China should reduce their coal consumption? An environmental energy input requirement function based analysis," Energy Policy, Elsevier, vol. 127(C), pages 51-63.
    41. Guo, Qiu-tong & Dong, Yong & Feng, Biao & Zhang, Hao, 2023. "Can green finance development promote total-factor energy efficiency? Empirical evidence from China based on a spatial Durbin model," Energy Policy, Elsevier, vol. 177(C).
    42. Zhang, Yijun & Song, Yi, 2020. "Unified efficiency of coal mining enterprises in China: An analysis based on meta-frontier non-radial directional distance functions," Resources Policy, Elsevier, vol. 65(C).
    43. Peihao Lai & Minzhe Du & Bing Wang & Ziyue Chen, 2016. "Assessment and Decomposition of Total Factor Energy Efficiency: An Evidence Based on Energy Shadow Price in China," Sustainability, MDPI, vol. 8(5), pages 1-23, April.
    44. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    45. Zhang, Weijie & Zhang, Ning & Yu, Yanni, 2019. "Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 1-11.
    46. Lin, Boqiang & Du, Kerui, 2015. "Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach," Energy Economics, Elsevier, vol. 49(C), pages 550-557.
    47. Makridou, Georgia & Andriosopoulos, Kostas & Doumpos, Michael & Zopounidis, Constantin, 2016. "Measuring the efficiency of energy-intensive industries across European countries," Energy Policy, Elsevier, vol. 88(C), pages 573-583.
    48. Yonghan Jeon & Jongoh Nam, 2023. "Estimating Energy Efficiency and Energy Saving Potential in the Republic of Korea’s Offshore Fisheries," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
    49. Chang, Chun-Ping & Wen, Jun & Zheng, Mingbo & Dong, Minyi & Hao, Yu, 2018. "Is higher government efficiency conducive to improving energy use efficiency? Evidence from OECD countries," Economic Modelling, Elsevier, vol. 72(C), pages 65-77.
    50. Lee, Myunghun & Zhang, Ning, 2012. "Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries," Energy Economics, Elsevier, vol. 34(5), pages 1492-1497.
    51. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
    52. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.
    53. Jinchao Li & Yuwei Xiang & Huanyu Jia & Lin Chen, 2018. "Analysis of Total Factor Energy Efficiency and Its Influencing Factors on Key Energy-Intensive Industries in the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    54. Lin, Boqiang & Wang, Xiaolei, 2014. "Exploring energy efficiency in China׳s iron and steel industry: A stochastic frontier approach," Energy Policy, Elsevier, vol. 72(C), pages 87-96.
    55. Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).
    56. Massimo Filippini & Lester Hunt, 2015. "Measurement of Energy Efficiency Based on Economic Foundations," CER-ETH Economics working paper series 15/216, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    57. David C Broadstock & Jiajia Li & Dayong Zhang, 2015. "Efficiency Snakes and Energy Ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 151, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    58. Wirat Krasachat, 2023. "The Effect of Good Agricultural Practices on the Technical Efficiency of Chili Production in Thailand," Sustainability, MDPI, vol. 15(1), pages 1-25, January.
    59. Li, Aijun & Zhang, Aizhen & Huang, Huijie & Yao, Xin, 2018. "Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions," Energy, Elsevier, vol. 152(C), pages 549-561.
    60. Yang, Fuxia & Yang, Mian & Nie, Hualin, 2013. "Productivity trends of Chinese regions: A perspective from energy saving and environmental regulations," Applied Energy, Elsevier, vol. 110(C), pages 82-89.
    61. Lizhan Cao & Zhongying Qi & Junxia Ren, 2017. "China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    62. Xu, Mengmeng & Tan, Ruipeng & He, Xinju, 2022. "How does economic agglomeration affect energy efficiency in China?: Evidence from endogenous stochastic frontier approach," Energy Economics, Elsevier, vol. 108(C).
    63. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    64. Li-Chen Chou & Wan-Hao Zhang & Meng-Ying Wang & Fu-Ming Yang, 2020. "The influence of democracy on emissions and energy efficiency in America: New evidence from quantile regression analysis," Energy & Environment, , vol. 31(8), pages 1318-1334, December.
    65. Ya Chen & Wei Xu & Qian Zhou & Zhixiang Zhou, 2020. "Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    66. Huaping Sun & Bless Kofi Edziah & Xiaoqian Song & Anthony Kwaku Kporsu & Farhad Taghizadeh-Hesary, 2020. "Estimating Persistent and Transient Energy Efficiency in Belt and Road Countries: A Stochastic Frontier Analysis," Energies, MDPI, vol. 13(15), pages 1-19, July.
    67. Haider, Salman & Mishra, Prajna Paramita, 2021. "Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis," Energy Economics, Elsevier, vol. 95(C).
    68. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    69. Amjadi, Golnaz & Lundgren, Tommy, 2022. "Is industrial energy inefficiency transient or persistent? Evidence from Swedish manufacturing," Applied Energy, Elsevier, vol. 309(C).
    70. Honma, Satoshi & Hu, Jin-Li, 2014. "Panel Data Parametric Frontier Technique for Measuring Total-factor Energy Efficiency: Application to Japanese Regions," MPRA Paper 54304, University Library of Munich, Germany.
    71. Koengkan, Matheus & Fuinhas, José Alberto & Kazemzadeh, Emad & Osmani, Fariba & Alavijeh, Nooshin Karimi & Auza, Anna & Teixeira, Mônica, 2022. "Measuring the economic efficiency performance in Latin American and Caribbean countries: An empirical evidence from stochastic production frontier and data envelopment analysis," International Economics, Elsevier, vol. 169(C), pages 43-54.
    72. Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.
    73. Du, Minzhe & Wang, Bing & Zhang, Ning, 2018. "National research funding and energy efficiency: Evidence from the National Science Foundation of China," Energy Policy, Elsevier, vol. 120(C), pages 335-346.
    74. Zhang, Zibin & Ye, Jianliang, 2015. "Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China," Energy Economics, Elsevier, vol. 47(C), pages 87-97.
    75. Dolšak, Janez & Hrovatin, Nevenka & Zorić, Jelena, 2022. "Estimating the efficiency in overall energy consumption: Evidence from Slovenian household-level data," Energy Economics, Elsevier, vol. 114(C).
    76. Ouyang, Xiaoling & Wei, Xiaoyun & Sun, Chuanwang & Du, Gang, 2018. "Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China," Energy Policy, Elsevier, vol. 118(C), pages 573-583.
    77. Tajudeen, Ibrahim A., 2021. "The underlying drivers of economy-wide energy efficiency and asymmetric energy price responses," Energy Economics, Elsevier, vol. 98(C).
    78. Fu, Yelin & Lu, Yihe & Yu, Chen & Lai, Kin Keung, 2022. "Inter-country comparisons of energy system performance with the energy trilemma index: An ensemble ranking methodology based on the half-quadratic theory," Energy, Elsevier, vol. 261(PA).
    79. Alexander Melnik & Kirill Ermolaev, 2020. "Strategy Context of Decision Making for Improved Energy Efficiency in Industrial Energy Systems," Energies, MDPI, vol. 13(7), pages 1-28, March.
    80. Mingyue Wang & Yu Liu & Yawen Liu & Shunxiang Yang & Lingyu Yang, 2018. "Assessing Multiple Pathways for Achieving China’s National Emissions Reduction Target," Sustainability, MDPI, vol. 10(7), pages 1-16, June.
    81. Ouyang, Xiaoling & Chen, Jiaqi & Du, Kerui, 2021. "Energy efficiency performance of the industrial sector: From the perspective of technological gap in different regions in China," Energy, Elsevier, vol. 214(C).
    82. Martchamadol, Jutamanee & Kumar, S., 2014. "The Aggregated Energy Security Performance Indicator (AESPI) at national and provincial level," Applied Energy, Elsevier, vol. 127(C), pages 219-238.
    83. Zheng, Qingying & Lin, Boqiang, 2020. "Achieving energy conservation targets in a more cost-effective way: Case study of pulp and paper industry in China," Energy, Elsevier, vol. 191(C).
    84. Agyeman, Stephen Duah & Lin, Boqiang, 2022. "Nonrenewable and renewable energy substitution, and low–carbon energy transition: Evidence from North African countries," Renewable Energy, Elsevier, vol. 194(C), pages 378-395.
    85. Xi Chen & Mingzhe Pu & Yu Zhong, 2022. "Evaluating China Food’s Fertilizer Reduction and Efficiency Initiative Using a Double Stochastic Meta-Frontier Method," IJERPH, MDPI, vol. 19(12), pages 1-21, June.
    86. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "DEA radial measurement for environmental assessment: A comparative study between Japanese chemical and pharmaceutical firms," Applied Energy, Elsevier, vol. 115(C), pages 502-513.
    87. Wei Tong Chen & Adiqa Kausar Kiani & Ming-Tsung Wu & Hew Cameron Merrett & Chih-Hsing Wang, 2023. "Comparison of the Technical Efficiency of Construction Industries—A Case Study of Taiwan and Mainland China," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    88. Wei, Chu & Löschel, Andreas & Liu, Bing, 2015. "Energy-saving and emission-abatement potential of Chinese coal-fired power enterprise: A non-parametric analysis," Energy Economics, Elsevier, vol. 49(C), pages 33-43.
    89. Georgia Makridou, Kostas Andriosopoulos, Michael Doumpos, and Constantin Zopounidis, 2015. "A Two-stage approach for energy efficiency analysis in European Union countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    90. Zhang, Shanshan & Lundgren, Tommy & Zhou, Wenchao, 2016. "Energy efficiency in Swedish industry," Energy Economics, Elsevier, vol. 55(C), pages 42-51.
    91. Song, Lianlian & Fu, Yelin & Zhou, Peng & Lai, Kin Keung, 2017. "Measuring national energy performance via Energy Trilemma Index: A Stochastic Multicriteria Acceptability Analysis," Energy Economics, Elsevier, vol. 66(C), pages 313-319.
    92. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    93. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    94. Wen-Ling Hsiao & Jin-Li Hu & Chan Hsiao & Ming-Chung Chang, 2018. "Energy Efficiency of the Baltic Sea Countries: An Application of Stochastic Frontier Analysis," Energies, MDPI, vol. 12(1), pages 1-11, December.
    95. Li, Gao & Ruonan, Li & Yingdan, Mei & Xiaoli, Zhao, 2022. "Improve technical efficiency of China's coal-fired power enterprises: Taking a coal-fired-withdrawl context," Energy, Elsevier, vol. 252(C).
    96. Ku-Hsieh Chen & Jen-Chi Cheng & Joe-Ming Lee & Liou-Yuan Li & Sheng-Yu Peng, 2020. "Energy Efficiency: Indicator, Estimation, and a New Idea," Sustainability, MDPI, vol. 12(12), pages 1-19, June.
    97. Zhou, D.Q. & Wu, F. & Zhou, X. & Zhou, P., 2016. "Output-specific energy efficiency assessment: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 177(C), pages 117-126.
    98. Adetutu, Morakinyo O., 2014. "Energy efficiency and capital-energy substitutability: Evidence from four OPEC countries," Applied Energy, Elsevier, vol. 119(C), pages 363-370.
    99. Dilawar Khan & Muhammad Nouman & József Popp & Muhammad Asif Khan & Faheem Ur Rehman & Judit Oláh, 2021. "Link between Technically Derived Energy Efficiency and Ecological Footprint: Empirical Evidence from the ASEAN Region," Energies, MDPI, vol. 14(13), pages 1-16, June.
    100. Honma, Satoshi & Ushifusa, Yoshiaki & Okamura, Soyoka & Vandercamme, Lilu, 2023. "Measuring carbon emissions performance of Japan's metal industry: Energy inputs, agglomeration, and the potential for green recovery reduction," Resources Policy, Elsevier, vol. 82(C).
    101. Kuang, Yunming & Lin, Boqiang, 2022. "Natural gas resource utilization, environmental policy and green economic development: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    102. Nuri Ozgur DOGAN & Can Tansel TUGCU, 2015. "Energy Efficiency in Electricity Production: A Data Envelopment Analysis (DEA) Approach for the G-20 Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 246-252.
    103. Xie, Chunping & Bai, Mengqi & Wang, Xiaolei, 2018. "Accessing provincial energy efficiencies in China’s transport sector," Energy Policy, Elsevier, vol. 123(C), pages 525-532.
    104. Lin, Boqiang & Du, Kerui, 2013. "Technology gap and China's regional energy efficiency: A parametric metafrontier approach," Energy Economics, Elsevier, vol. 40(C), pages 529-536.
    105. Lyu, Peng-hui & Ngai, Eric W.T. & Wu, Pei-yi, 2019. "Scientific data-driven evaluation on academic articles of low-carbon economy," Energy Policy, Elsevier, vol. 125(C), pages 358-367.
    106. Fu, Yelin & Lai, Kin Keung & Yu, Lean, 2021. "Multi-nation comparisons of energy architecture performance: A group decision-making method with preference structure and acceptability analysis," Energy Economics, Elsevier, vol. 96(C).
    107. Malin Song & Kuangnan Fang & Jing Zhang & Jianbin Wu, 2019. "The Co-movement Between Chinese Oil Market and Other Main International Oil Markets: A DCC-MGARCH Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1303-1318, December.
    108. Lester C. Hunt & Paraskevas Kipouros, 2023. "Energy Demand and Energy Efficiency in Developing Countries," Energies, MDPI, vol. 16(3), pages 1-26, January.
    109. Qin, Quande & Yu, Ying & Liu, Yuan & Zhou, Jianqing & Chen, Xiude, 2023. "Industrial agglomeration and energy efficiency: A new perspective from market integration," Energy Policy, Elsevier, vol. 183(C).
    110. Jianxu Liu & Heng Wang & Sanzidur Rahman & Songsak Sriboonchitta, 2021. "Energy Efficiency, Energy Conservation and Determinants in the Agricultural Sector in Emerging Economies," Agriculture, MDPI, vol. 11(8), pages 1-18, August.
    111. Satoshi Honma & Jin-Li Hu, 2018. "A meta-stochastic frontier analysis for energy efficiency of regions in Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-16, December.
    112. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
    113. Li, Jianglong & Lin, Boqiang, 2017. "Ecological total-factor energy efficiency of China's heavy and light industries: Which performs better?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 83-94.
    114. Xu, Mengmeng & Lin, Boqiang, 2022. "Energy efficiency gains from distortion mitigation: A perspective on the metallurgical industry," Resources Policy, Elsevier, vol. 77(C).
    115. Li, Jianglong & Liu, Hongxun & Du, Kerui, 2019. "Does market-oriented reform increase energy rebound effect? Evidence from China's regional development," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    116. Marcos Gonçalves Perroni & Claudimar Pereira da Veiga & Zhaohui Su & Fernando Maciel Ramos & Wesley Vieira da Silva, 2023. "Dynamic Equilibrium of Sustainable Ecosystem Variables: An Experiment," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    117. Lin, Boqiang & Chen, Xing, 2020. "How technological progress affects input substitution and energy efficiency in China: A case of the non-ferrous metals industry," Energy, Elsevier, vol. 206(C).
    118. Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
    119. Zhang, H. & Fan, L.W. & Zhou, P., 2020. "Handling heterogeneity in frontier modeling of city-level energy efficiency: The case of China," Applied Energy, Elsevier, vol. 279(C).
    120. L. P. Zhang & P. Zhou, 2019. "Reassessment of global climate risk: non-compensatory or compensatory?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 271-287, January.
    121. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
    122. Otsuka, Akihiro, 2023. "Industrial electricity consumption efficiency and energy policy in Japan," Utilities Policy, Elsevier, vol. 81(C).
    123. Gangyi Wang & Chang’e Zhao & Yuzhuo Shen & Ni Yin, 2021. "Estimation of cost efficiency of fattening pigs, sows, and piglets using SFA approach analysis: Evidence from China," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-22, December.
    124. Zhang, Bin & Lu, Danting & He, Yan & Chiu, Yung-ho, 2018. "The efficiencies of resource-saving and environment: A case study based on Chinese cities," Energy, Elsevier, vol. 150(C), pages 493-507.
    125. Boogen, Nina, 2017. "Estimating the potential for electricity savings in households," Energy Economics, Elsevier, vol. 63(C), pages 288-300.
    126. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    127. Dilawar Khan & Muhammad Nouman & Arif Ullah, 2023. "Assessing the impact of technological innovation on technically derived energy efficiency: a multivariate co-integration analysis of the agricultural sector in South Asia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3723-3745, April.
    128. Amjadi, Golnaz, 2020. "Essays on Energy Efficiency, Environmental Regulation and Labor Demand in Swedish Industry," Umeå Economic Studies 982, Umeå University, Department of Economics.
    129. Honma, Satoshi & Hu, Jin-Li, 2014. "Industry-level total-factor energy efficiency in developed countries: A Japan-centered analysis," Applied Energy, Elsevier, vol. 119(C), pages 67-78.
    130. Lin, Boqiang & Du, Kerui, 2014. "Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy," Energy, Elsevier, vol. 76(C), pages 884-890.
    131. Jin, Gang & Yu, Binbin & Shen, Kunrong, 2021. "Domestic trade and energy productivity in China: An inverted U-shaped relationship," Energy Economics, Elsevier, vol. 97(C).
    132. Nathaniel, Solomon Prince & Yalçiner, Kürşat & Bekun, Festus Victor, 2021. "Assessing the environmental sustainability corridor: Linking natural resources, renewable energy, human capital, and ecological footprint in BRICS," Resources Policy, Elsevier, vol. 70(C).
    133. Sueyoshi, Toshiyuki & Goto, Mika, 2018. "Resource utilization for sustainability enhancement in Japanese industries," Applied Energy, Elsevier, vol. 228(C), pages 2308-2320.
    134. Song, Ma-Lin & Zhang, Lin-Ling & Liu, Wei & Fisher, Ron, 2013. "Bootstrap-DEA analysis of BRICS’ energy efficiency based on small sample data," Applied Energy, Elsevier, vol. 112(C), pages 1049-1055.
    135. Wang, Q.W. & Zhou, P. & Shen, N. & Wang, S.S., 2013. "Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 324-330.
    136. Rongxin Wu & Boqiang Lin, 2022. "Does Energy Efficiency Realize Energy Conservation in the Iron and Steel Industry? A Perspective of Energy Rebound Effect," IJERPH, MDPI, vol. 19(18), pages 1-20, September.
    137. Joanne Evans & Massimo Filippini & Lester C. Hunt, 2013. "The contribution of energy efficiency towards meeting CO2 targets," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 8, pages 175-223, Edward Elgar Publishing.
    138. Lei Jiang & Henk Folmer & Minhe Ji & Jianjun Tang, 2017. "Energy efficiency in the Chinese provinces: a fixed effects stochastic frontier spatial Durbin error panel analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(2), pages 301-319, March.
    139. Yongrok Choi & Dong-hyun Oh & Ning Zhang, 2015. "Environmentally sensitive productivity growth and its decompositions in China: a metafrontier Malmquist–Luenberger productivity index approach," Empirical Economics, Springer, vol. 49(3), pages 1017-1043, November.
    140. Liu, Fengqin & Sim, Jae-yeon & Sun, Huaping & Edziah, Bless Kofi & Adom, Philip Kofi & Song, Shunfeng, 2023. "Assessing the role of economic globalization on energy efficiency: Evidence from a global perspective," China Economic Review, Elsevier, vol. 77(C).
    141. Akihiro Otsuka, 2023. "Stochastic demand frontier analysis of residential electricity demands in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 179-195, March.
    142. Hu, Yucai & Ren, Shenggang & Wang, Yangjie & Chen, Xiaohong, 2020. "Can carbon emission trading scheme achieve energy conservation and emission reduction? Evidence from the industrial sector in China," Energy Economics, Elsevier, vol. 85(C).
    143. Velasco-Fernández, Raúl & Dunlop, Tessa & Giampietro, Mario, 2020. "Fallacies of energy efficiency indicators: Recognizing the complexity of the metabolic pattern of the economy," Energy Policy, Elsevier, vol. 137(C).
    144. Akihiro Otsuka, 2020. "How do population agglomeration and interregional networks improve energy efficiency?," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 1-25, February.
    145. Zhang, Tao & Li, Hong-Zhou & Xie, Bai-Chen, 2022. "Have renewables and market-oriented reforms constrained the technical efficiency improvement of China's electric grid utilities?," Energy Economics, Elsevier, vol. 114(C).
    146. Xueqin Lin & Dai Wang & Yuefang Si, 2015. "Spatially Differentiated Features of Coal Resource Utilisation Efficiency in China," Energy & Environment, , vol. 26(6-7), pages 1129-1145, November.
    147. Gui Jin & Han Yu & Dawei He & Baishu Guo, 2024. "Agricultural Production Efficiency and Ecological Transformation Efficiency in the Yangtze River Economic Belt," Land, MDPI, vol. 13(1), pages 1-14, January.

  109. Bai, Y. & Zhou, D.Q. & Zhou, P. & Zhang, L.B., 2012. "Optimal path for China's strategic petroleum reserve: A dynamic programming analysis," Energy Economics, Elsevier, vol. 34(4), pages 1058-1063.

    Cited by:

    1. Tavana, Madjid & Behzadian, Majid & Pirdashti, Mohsen & Pirdashti, Hasan, 2013. "A PROMETHEE-GDSS for oil and gas pipeline planning in the Caspian Sea basin," Energy Economics, Elsevier, vol. 36(C), pages 716-728.
    2. Bai, Yang & Zhou, Peng & Tian, Lixin & Meng, Fanyi, 2016. "Desirable Strategic Petroleum Reserves policies in response to supply uncertainty: A stochastic analysis," Applied Energy, Elsevier, vol. 162(C), pages 1523-1529.
    3. Murphy, Frederic & Oliveira, Fernando S., 2013. "Pricing option contracts on the strategic petroleum reserve," Energy Economics, Elsevier, vol. 40(C), pages 242-250.
    4. Lu, Ze-Yu & Li, Wen-Hua & Xie, Bai-Chen & Shang, Li-Feng, 2015. "Study on China’s wind power development path—Based on the target for 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 197-208.
    5. Zhang, Xiao-Bing & Zheng, Xinye & Qin, Ping & Xie, Lunyu, 2018. "Oil import tariff game for energy security: The case of China and India," Energy Economics, Elsevier, vol. 72(C), pages 255-262.
    6. Xu, Mei & Xie, Pu & Xie, Bai-Chen, 2020. "Study of China's optimal solar photovoltaic power development path to 2050," Resources Policy, Elsevier, vol. 65(C).
    7. Zhu, Bo & Deng, Yuanyue & Lin, Renda & Hu, Xin & Chen, Pingshe, 2022. "Energy security: Does systemic risk spillover matter? Evidence from China," Energy Economics, Elsevier, vol. 114(C).
    8. Chen, Xin & Mu, Hailin & Li, Huanan & Gui, Shusen, 2014. "Using stockpile delegation to improve China׳s strategic oil policy: A multi-dimension stochastic dynamic programming approach," Energy Policy, Elsevier, vol. 69(C), pages 28-42.
    9. Zhang, Xiao-Bing & Qin, Ping & Chen, Xiaolan, 2017. "Strategic oil stockpiling for energy security: The case of China and India," Energy Economics, Elsevier, vol. 61(C), pages 253-260.
    10. Liu, Zhen & Tang, Yuk Ming & Chau, Ka Yin & Chien, Fengsheng & Iqbal, Wasim & Sadiq, Muhammad, 2021. "Incorporating strategic petroleum reserve and welfare losses: A way forward for the policy development of crude oil resources in South Asia," Resources Policy, Elsevier, vol. 74(C).
    11. Xie, Nan & Yan, Zhijun & Zhou, Yi & Huang, Wenjun, 2017. "China's optimal stockpiling policies in the context of new oil price trend," Energy Policy, Elsevier, vol. 105(C), pages 332-340.
    12. Jiao, Jian-Ling & Han, Kuang-Yi & Wu, Gang & Li, Lan-Lan & Wei, Yi-Ming, 2014. "The effect of an SPR on the oil price in China: A system dynamics approach," Applied Energy, Elsevier, vol. 133(C), pages 363-373.
    13. Zhang, Xiao-Bing, 2014. "Optimal strategic oil stockpiling and import tariffs: The case of China," Energy Economics, Elsevier, vol. 45(C), pages 463-474.
    14. Bai, Y. & Dahl, C.A. & Zhou, D.Q. & Zhou, P., 2014. "Stockpile strategy for China׳s emergency oil reserve: A dynamic programming approach," Energy Policy, Elsevier, vol. 73(C), pages 12-20.
    15. Ziadat, Salem Adel & McMillan, David G. & Herbst, Patrick, 2022. "Oil shocks and equity returns during bull and bear markets: The case of oil importing and exporting nations," Resources Policy, Elsevier, vol. 75(C).

  110. Wang, Qunwei & Zhou, Peng & Zhou, Dequn, 2012. "Efficiency measurement with carbon dioxide emissions: The case of China," Applied Energy, Elsevier, vol. 90(1), pages 161-166.

    Cited by:

    1. Wu, Jie & Lv, Lin & Sun, Jiasen & Ji, Xiang, 2015. "A comprehensive analysis of China's regional energy saving and emission reduction efficiency: From production and treatment perspectives," Energy Policy, Elsevier, vol. 84(C), pages 166-176.
    2. Ke Wang & Bin Lu & Yi-Ming Wei, 2014. "China's regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," CEEP-BIT Working Papers 61, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    3. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    4. Pan Wanbin & Huang Lei & Zhao Linlin, 2017. "An Integrated DEA Model Allowing Decomposition of Eco-Efficiency: A Case Study of China," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 473-488, October.
    5. Feng Dong & Ruyin Long & Hong Chen & Xiaohui Li & Qingliang Yang, 2013. "Factors Affecting Regional Per-Capita Carbon Emissions in China Based on an LMDI Factor Decomposition Model," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-10, December.
    6. Fang, Guochang & Tian, Lixin & Fu, Min & Sun, Mei, 2013. "The impacts of carbon tax on energy intensity and economic growth – A dynamic evolution analysis on the case of China," Applied Energy, Elsevier, vol. 110(C), pages 17-28.
    7. Chao Wang & Yue‐Jun Zhang, 2020. "Does environmental regulation policy help improve green production performance? Evidence from China's industry," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(2), pages 937-951, March.
    8. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    9. Chu, Junfei & Shao, Caifeng & Emrouznejad, Ali & Wu, Jie & Yuan, Zhe, 2021. "Performance evaluation of organizations considering economic incentives for emission reduction: A carbon emission permit trading approach," Energy Economics, Elsevier, vol. 101(C).
    10. Long, Ruyin & Shao, Tianxiang & Chen, Hong, 2016. "Spatial econometric analysis of China’s province-level industrial carbon productivity and its influencing factors," Applied Energy, Elsevier, vol. 166(C), pages 210-219.
    11. Wang, Jian & Lv, Kangjuan & Bian, Yiwen & Cheng, Yu, 2017. "Energy efficiency and marginal carbon dioxide emission abatement cost in urban China," Energy Policy, Elsevier, vol. 105(C), pages 246-255.
    12. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    13. Roberto Gómez-Calvet & David Conesa & Ana Rosa Gómez-Calvet & Emili Tortosa-Ausina, 2013. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Working Papers 2013/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    14. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
    15. Noor Ramli & Susila Munisamy & Behrouz Arabi, 2013. "Scale directional distance function and its application to the measurement of eco-efficiency in the manufacturing sector," Annals of Operations Research, Springer, vol. 211(1), pages 381-398, December.
    16. Li, Yingcheng, 2022. "Path-breaking industrial development reduces carbon emissions: Evidence from Chinese Provinces, 1999–2011," Energy Policy, Elsevier, vol. 167(C).
    17. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    18. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    19. Guo, Xiaoying & Lu, Ching-Cheng & Lee, Jen-Hui & Chiu, Yung-Ho, 2017. "Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China," Energy, Elsevier, vol. 134(C), pages 392-399.
    20. Wei, Jia & Chen, Hong & Cui, Xiaotong & Long, Ruyin, 2016. "Carbon capability of urban residents and its structure: Evidence from a survey of Jiangsu Province in China," Applied Energy, Elsevier, vol. 173(C), pages 635-649.
    21. Ching-Cheng Lu & Liang-Chun Lu, 2019. "Evaluating the energy efficiency of European Union countries: The dynamic data envelopment analysis," Energy & Environment, , vol. 30(1), pages 27-43, February.
    22. Dong, Feng & Li, Xiaohui & Long, Ruyin & Liu, Xiaoyan, 2013. "Regional carbon emission performance in China according to a stochastic frontier model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 525-530.
    23. Chen, Zhenling & Zhang, Xiaoling & Ni, Guohua, 2020. "Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions," Energy Policy, Elsevier, vol. 139(C).
    24. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    25. Ming Meng & Yanan Fu & Tianyu Wang & Kaiqiang Jing, 2017. "Analysis of Low-Carbon Economy Efficiency of Chinese Industrial Sectors Based on a RAM Model with Undesirable Outputs," Sustainability, MDPI, vol. 9(3), pages 1-18, March.
    26. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    27. Halkos, George & Petrou, Kleoniki Natalia, 2017. "Regional environmental efficiency in waste generation," MPRA Paper 81237, University Library of Munich, Germany.
    28. Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
    29. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    30. Lin, Boqiang & Du, Kerui, 2015. "Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach," Energy Economics, Elsevier, vol. 49(C), pages 550-557.
    31. Yue, Ting & Long, Ruyin & Chen, Hong & Zhao, Xin, 2013. "The optimal CO2 emissions reduction path in Jiangsu province: An expanded IPAT approach," Applied Energy, Elsevier, vol. 112(C), pages 1510-1517.
    32. Kyohei Matsushita & Kota Asano, 2014. "Reducing CO 2 emissions of Japanese thermal power companies: a directional output distance function approach," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(1), pages 1-19, January.
    33. Fazıl Gökgöz & Ercem Erkul, 2014. "Energy Efficiency Analysis For The European Countries," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 8(1), pages 124-140.
    34. Li, Bo & Han, Yukai & Wang, Chensheng & Sun, Wei, 2022. "Did civilized city policy improve energy efficiency of resource-based cities? Prefecture-level evidence from China," Energy Policy, Elsevier, vol. 167(C).
    35. Lingling Cao & Huawei Niu, 2022. "Green Credit and Total Factor Carbon Emission Performance—Evidence from Moderation-Based Mediating Effect Test," IJERPH, MDPI, vol. 19(11), pages 1-19, June.
    36. Zhang, Ning & Kong, Fanbin & Choi, Yongrok, 2014. "Measuring sustainability performance for China: A sequential generalized directional distance function approach," Economic Modelling, Elsevier, vol. 41(C), pages 392-397.
    37. Bian, Yiwen & He, Ping & Xu, Hao, 2013. "Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach," Energy Policy, Elsevier, vol. 63(C), pages 962-971.
    38. Dan Wu & Ching-Cheng Lu & Xiang Chen & Pei-Chieh Tu & An-Chi Yang & Chih-Yu Yang, 2021. "Evaluating the Dynamic Energy Production Efficiency in APEC Economies," Energies, MDPI, vol. 14(14), pages 1-20, July.
    39. Xu, Shi-Chun & He, Zheng-Xia & Long, Ru-Yin, 2014. "Factors that influence carbon emissions due to energy consumption in China: Decomposition analysis using LMDI," Applied Energy, Elsevier, vol. 127(C), pages 182-193.
    40. She, Zhen-Yu & Meng, Gang & Xie, Bai-Chen & O'Neill, Eoghan, 2020. "The effectiveness of the unbundling reform in China’s power system from a dynamic efficiency perspective," Applied Energy, Elsevier, vol. 264(C).
    41. Yang, Fuxia & Yang, Mian & Nie, Hualin, 2013. "Productivity trends of Chinese regions: A perspective from energy saving and environmental regulations," Applied Energy, Elsevier, vol. 110(C), pages 82-89.
    42. Shiwei Yu & Yi-Ming Wei & Jing-Li Fan & Xian Zhang & Ke Wang, 2011. "Exploring the regional characteristics of inter-provincial CO2 emissions in China:An improved fuzzy clustering analysis based on particle swarm optimization," CEEP-BIT Working Papers 22, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    43. Liao, Hua & Du, Jian & Wei, Yi-Ming, 2013. "Energy conservation in China: Key provincial sectors at two-digit level," Applied Energy, Elsevier, vol. 104(C), pages 457-465.
    44. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2013. "Energy and emissions efficiency patterns of Chinese regions: A multi-directional efficiency analysis," Applied Energy, Elsevier, vol. 104(C), pages 105-116.
    45. Trinks, Arjan & Mulder, Machiel & Scholtens, Bert, 2020. "An Efficiency Perspective on Carbon Emissions and Financial Performance," Ecological Economics, Elsevier, vol. 175(C).
    46. Baochen Yang & Chuanze Liu & Yunpeng Su & Xin Jing, 2017. "The Allocation of Carbon Intensity Reduction Target by 2020 among Industrial Sectors in China," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    47. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    48. Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.
    49. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2012. "A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs?," Energy Policy, Elsevier, vol. 46(C), pages 574-584.
    50. Zhang, Zibin & Ye, Jianliang, 2015. "Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China," Energy Economics, Elsevier, vol. 47(C), pages 87-97.
    51. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "DEA radial measurement for environmental assessment: A comparative study between Japanese chemical and pharmaceutical firms," Applied Energy, Elsevier, vol. 115(C), pages 502-513.
    52. Jingdong Zhong, 2019. "Biased Technical Change, Factor Substitution, and Carbon Emissions Efficiency in China," Sustainability, MDPI, vol. 11(4), pages 1-17, February.
    53. Qingyou Yan & Xu Wang & Tomas Baležentis & Dalia Streimikiene, 2018. "Energy–economy–environmental (3E) performance of Chinese regions based on the data envelopment analysis model with mixed assumptions on disposability," Energy & Environment, , vol. 29(5), pages 664-684, August.
    54. Tateishi, Henrique Ryosuke & Bragagnolo, Cassiano & de Faria, Rosane Nunes, 2020. "Economic and environmental efficiencies of greenhouse gases’ emissions under institutional influence," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    55. Ke-Liang Wang & Jianguo Wang & Jianming Wang & Lili Ding & Mingsong Zhao & Qunwei Wang, 2020. "Investigating the spatiotemporal differences and influencing factors of green water use efficiency of Yangtze River Economic Belt in China," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-24, April.
    56. Li-Ming Xue & Zhi-Xue Zheng & Shuo Meng & Mingjun Li & Huaqing Li & Ji-Ming Chen, 2022. "Carbon emission efficiency and spatio-temporal dynamic evolution of the cities in Beijing-Tianjin-Hebei Region, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7640-7664, June.
    57. Jie Wu & Qingyuan Zhu & Pengzhen Yin & Malin Song, 2017. "Measuring energy and environmental performance for regions in China by using DEA-based Malmquist indices," Operational Research, Springer, vol. 17(3), pages 715-735, October.
    58. Zhu, Lin & Wang, Yong & Shang, Peipei & Qi, Lin & Yang, Guangchun & Wang, Ying, 2019. "Improvement path, the improvement potential and the dynamic evolution of regional energy efficiency in China: Based on an improved nonradial multidirectional efficiency analysis," Energy Policy, Elsevier, vol. 133(C).
    59. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    60. Shabani, Mohadeseh & Kordrostami, Sohrab & Jahani Sayyad Noveiri, Monireh, 2023. "Renewable energy performance analysis using fuzzy dynamic directional distance function model under natural and managerial disposability," Applied Energy, Elsevier, vol. 352(C).
    61. Wang, Yi-Shu & Xie, Bai-Chen & Shang, Li-Feng & Li, Wen-Hua, 2013. "Measures to improve the performance of China’s thermal power industry in view of cost efficiency," Applied Energy, Elsevier, vol. 112(C), pages 1078-1086.
    62. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    63. Wang, Juan & Li, Jing & Zhang, Qingjun, 2021. "Does carbon efficiency improve financial performance? Evidence from Chinese firms," Energy Economics, Elsevier, vol. 104(C).
    64. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    65. Jia Wei & Hong Chen & Ruyin Long, 2018. "Determining Multi-Layer Factors That Drive the Carbon Capability of Urban Residents in Response to Climate Change: An Exploratory Qualitative Study in China," IJERPH, MDPI, vol. 15(8), pages 1-19, July.
    66. Halkos, George & Petrou, Kleoniki Natalia, 2018. "Assessment of national waste generation in EU Member States’ efficiency," MPRA Paper 84590, University Library of Munich, Germany.
    67. Ye, Bin & Jiang, JingJing & Li, Changsheng & Miao, Lixin & Tang, Jie, 2017. "Quantification and driving force analysis of provincial-level carbon emissions in China," Applied Energy, Elsevier, vol. 198(C), pages 223-238.
    68. Shan, Yuli & Liu, Jianghua & Liu, Zhu & Xu, Xinwanghao & Shao, Shuai & Wang, Peng & Guan, Dabo, 2016. "New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors," Applied Energy, Elsevier, vol. 184(C), pages 742-750.
    69. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.
    70. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    71. Molinos-Senante, María & Hanley, Nick & Sala-Garrido, Ramón, 2015. "Measuring the CO2 shadow price for wastewater treatment: A directional distance function approach," Applied Energy, Elsevier, vol. 144(C), pages 241-249.
    72. Jie Wu & Xiang Lu & Dong Guo & Liang Liang, 2017. "Slacks-Based Efficiency Measurements with Undesirable Outputs in Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1005-1021, July.
    73. Yiwei Wang & Shuwang Yang & Canmian Liu & Shiying Li, 2018. "How Would Economic Development Influence Carbon Productivity? A Case from Hubei in China," IJERPH, MDPI, vol. 15(8), pages 1-13, August.
    74. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    75. Jia Wei & Hong Chen & Ruyin Long, 2018. "Diffusion Paths and Guiding Policy for Urban Residents’ Carbon Identification Capability: Simulation Analysis from the Perspective of Relation Strength and Personal Carbon Trading," Sustainability, MDPI, vol. 10(6), pages 1-19, May.
    76. Sueyoshi, Toshiyuki & Goto, Mika, 2018. "Resource utilization for sustainability enhancement in Japanese industries," Applied Energy, Elsevier, vol. 228(C), pages 2308-2320.
    77. George Halkos & Kleoniki Natalia Petrou, 2019. "Analysing the Energy Efficiency of EU Member States: The Potential of Energy Recovery from Waste in the Circular Economy," Energies, MDPI, vol. 12(19), pages 1-32, September.
    78. Lu, Ching-Cheng & Chiu, Yung-Ho & Shyu, Ming-Kuang & Lee, Jen-Hui, 2013. "Measuring CO2 emission efficiency in OECD countries: Application of the Hybrid Efficiency model," Economic Modelling, Elsevier, vol. 32(C), pages 130-135.
    79. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    80. Zuoxiang Zhao, 2017. "Measurement of production efficiency and environmental efficiency in China’s province-level: a by-production approach," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(4), pages 735-759, October.
    81. Chiang-Ping Chen & Ming-Chung Chang & Wei-Che Tsai, 2021. "Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: Evidence from ASEAN+6," SAGE Open, , vol. 11(3), pages 21582440211, September.
    82. Wang, Q.W. & Zhou, P. & Shen, N. & Wang, S.S., 2013. "Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 324-330.
    83. Wei, Jia & Chen, Hong & Long, Ruyin, 2016. "Is ecological personality always consistent with low-carbon behavioral intention of urban residents?," Energy Policy, Elsevier, vol. 98(C), pages 343-352.
    84. Zhang, Dongyang, 2021. "Marketization, environmental regulation, and eco-friendly productivity: A Malmquist–Luenberger index for pollution emissions of large Chinese firms," Journal of Asian Economics, Elsevier, vol. 76(C).
    85. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    86. Linlin Zhao & Yong Zha & Kangning Wei & Liang Liang, 2017. "A target-based method for energy saving and carbon emissions reduction in China based on environmental data envelopment analysis," Annals of Operations Research, Springer, vol. 255(1), pages 277-300, August.

  111. Bai, Y. & Zhou, D.Q. & Zhou, P., 2012. "Modelling and analysis of oil import tariff and stockpile policies for coping with supply disruptions," Applied Energy, Elsevier, vol. 97(C), pages 84-90.

    Cited by:

    1. Bai, Yang & Zhou, Peng & Tian, Lixin & Meng, Fanyi, 2016. "Desirable Strategic Petroleum Reserves policies in response to supply uncertainty: A stochastic analysis," Applied Energy, Elsevier, vol. 162(C), pages 1523-1529.
    2. Ju, Keyi & Zhou, Dequn & Zhou, P. & Wu, Junmin, 2014. "Macroeconomic effects of oil price shocks in China: An empirical study based on Hilbert–Huang transform and event study," Applied Energy, Elsevier, vol. 136(C), pages 1053-1066.
    3. Bai, Yang & Meng, Jie & Meng, Fanyi & Fang, Guochang, 2020. "Stochastic analysis of a shale gas investment strategy for coping with production uncertainties," Energy Policy, Elsevier, vol. 144(C).
    4. Zhang, Xiao-Bing & Zheng, Xinye & Qin, Ping & Xie, Lunyu, 2018. "Oil import tariff game for energy security: The case of China and India," Energy Economics, Elsevier, vol. 72(C), pages 255-262.
    5. Ju, Keyi & Su, Bin & Zhou, Dequn & Wu, Junmin & Liu, Lifan, 2016. "Macroeconomic performance of oil price shocks: Outlier evidence from nineteen major oil-related countries/regions," Energy Economics, Elsevier, vol. 60(C), pages 325-332.
    6. Shengquan He & Dazhao Song & Lianzhi Yang & Xiaomeng Miao & Jiuzheng Liang & Xueqiu He & Biao Cao & Yingjie Zhao & Tuo Chen & Wei Zhong & Taoping Zhong, 2022. "Seawater Intrusion Risk and Prevention Technology of Coastal and Large-Span Underground Oil Storage Cavern," Energies, MDPI, vol. 16(1), pages 1-27, December.
    7. Mei-Mei Xue & Gang Wu & Qian Wang & Yun-Fei Yao & Qiao-Mei Liang, 2019. "Socioeconomic impacts of a shortage in imported oil supply: case of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1415-1430, December.
    8. Zhu, Bo & Deng, Yuanyue & Lin, Renda & Hu, Xin & Chen, Pingshe, 2022. "Energy security: Does systemic risk spillover matter? Evidence from China," Energy Economics, Elsevier, vol. 114(C).
    9. Chen, Xin & Mu, Hailin & Li, Huanan & Gui, Shusen, 2014. "Using stockpile delegation to improve China׳s strategic oil policy: A multi-dimension stochastic dynamic programming approach," Energy Policy, Elsevier, vol. 69(C), pages 28-42.
    10. Zhang, Xiao-Bing & Qin, Ping & Chen, Xiaolan, 2017. "Strategic oil stockpiling for energy security: The case of China and India," Energy Economics, Elsevier, vol. 61(C), pages 253-260.
    11. Xie, Nan & Yan, Zhijun & Zhou, Yi & Huang, Wenjun, 2017. "China's optimal stockpiling policies in the context of new oil price trend," Energy Policy, Elsevier, vol. 105(C), pages 332-340.
    12. Jiao, Jian-Ling & Han, Kuang-Yi & Wu, Gang & Li, Lan-Lan & Wei, Yi-Ming, 2014. "The effect of an SPR on the oil price in China: A system dynamics approach," Applied Energy, Elsevier, vol. 133(C), pages 363-373.
    13. Zhang, Xiao-Bing, 2014. "Optimal strategic oil stockpiling and import tariffs: The case of China," Energy Economics, Elsevier, vol. 45(C), pages 463-474.
    14. Zhao, Chunfu & Chen, Bin, 2014. "China’s oil security from the supply chain perspective: A review," Applied Energy, Elsevier, vol. 136(C), pages 269-279.
    15. Li, Weiqi & Fu, Feng & Ma, Linwei & Liu, Pei & Li, Zheng & Dai, Yaping, 2013. "A process-based model for estimating the well-to-tank cost of gasoline and diesel in China," Applied Energy, Elsevier, vol. 102(C), pages 718-725.
    16. Bai, Y. & Dahl, C.A. & Zhou, D.Q. & Zhou, P., 2014. "Stockpile strategy for China׳s emergency oil reserve: A dynamic programming approach," Energy Policy, Elsevier, vol. 73(C), pages 12-20.

  112. Wang, H. & Zhou, D.Q. & Zhou, P. & Zha, D.L., 2012. "Direct rebound effect for passenger transport: Empirical evidence from Hong Kong," Applied Energy, Elsevier, vol. 92(C), pages 162-167.

    Cited by:

    1. Galvin, Ray, 2016. "Rebound effects from speed and acceleration in electric and internal combustion engine cars: An empirical and conceptual investigation," Applied Energy, Elsevier, vol. 172(C), pages 207-216.
    2. Kong, Li & Hu, Guangwen & Mu, Xianzhong & Li, Guohao & Zhang, Zheng, 2023. "The energy rebound effect in households: Evidence from urban and rural areas in Beijing," Applied Energy, Elsevier, vol. 343(C).
    3. Hong, Li & Liang, Dong & Di, Wang, 2013. "Economic and environmental gains of China's fossil energy subsidies reform: A rebound effect case study with EIMO model," Energy Policy, Elsevier, vol. 54(C), pages 335-342.
    4. Freire-González, Jaume & Font Vivanco, David & Puig-Ventosa, Ignasi, 2017. "Economic structure and energy savings from energy efficiency in households," Ecological Economics, Elsevier, vol. 131(C), pages 12-20.
    5. Li, Ke & Lin, Boqiang, 2015. "Heterogeneity in rebound effects: Estimated results and impact of China’s fossil-fuel subsidies," Applied Energy, Elsevier, vol. 149(C), pages 148-160.
    6. Zhang, Yue-Jun & Liu, Zhao & Qin, Chang-Xiong & Tan, Tai-De, 2017. "The direct and indirect CO2 rebound effect for private cars in China," Energy Policy, Elsevier, vol. 100(C), pages 149-161.
    7. Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad, 2013. "Modelling the transport system in China and evaluating the current strategies towards the sustainable transport development," Energy Policy, Elsevier, vol. 58(C), pages 347-357.
    8. Zhang, Yue-Jun & Peng, Hua-Rong & Liu, Zhao & Tan, Weiping, 2015. "Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach," Energy Policy, Elsevier, vol. 87(C), pages 303-313.
    9. Yuan, Zhen & Xu, Jie & Li, Bing & Yao, Tingting, 2022. "Limits of technological progress in controlling energy consumption: Evidence from the energy rebound effects across China's industrial sector," Energy, Elsevier, vol. 245(C).
    10. Song, Jianfeng & Guo, Yanan & Wu, Pute & Sun, SHikun, 2018. "The Agricultural Water Rebound Effect in China," Ecological Economics, Elsevier, vol. 146(C), pages 497-506.
    11. Wu, Ya & Zhu, Qianwen & Zhong, Ling & Zhang, Tao, 2019. "Energy consumption in the transportation sectors in China and the United States: A longitudinal comparative study," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 349-360.
    12. Wang, Zhaohua & Lu, Milin, 2014. "An empirical study of direct rebound effect for road freight transport in China," Applied Energy, Elsevier, vol. 133(C), pages 274-281.
    13. Galvin, Ray, 2017. "How does speed affect the rebound effect in car travel? Conceptual issues explored in case study of 900 Formula 1 Grand Prix speed trials," Energy, Elsevier, vol. 128(C), pages 28-38.
    14. Zha, Donglan & Chen, Qian & Wang, Lijun, 2022. "Exploring carbon rebound effects in Chinese households’ consumption: A simulation analysis based on a multi-regional input–output framework," Applied Energy, Elsevier, vol. 313(C).
    15. Suchi Kapoor Malhotra & Howard White & Nina Ashley O. Dela Cruz & Ashrita Saran & John Eyers & Denny John & Ella Beveridge & Nina Blöndal, 2021. "Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.
    16. Zhang, Yue-Jun & Peng, Hua-Rong & Su, Bin, 2017. "Energy rebound effect in China's Industry: An aggregate and disaggregate analysis," Energy Economics, Elsevier, vol. 61(C), pages 199-208.
    17. Li, Ke & Zhang, Ning & Liu, Yanchu, 2016. "The energy rebound effects across China’s industrial sectors: An output distance function approach," Applied Energy, Elsevier, vol. 184(C), pages 1165-1175.
    18. Luo, Xiao & Dong, Liang & Dou, Yi & Liang, Hanwei & Ren, Jingzheng & Fang, Kai, 2016. "Regional disparity analysis of Chinese freight transport CO2 emissions from 1990 to 2007: Driving forces and policy challenges," Journal of Transport Geography, Elsevier, vol. 56(C), pages 1-14.
    19. Galvin, Ray & Martulli, Alessandro & Ruzzenenti, Franco, 2021. "Does power curb energy efficiency? Evidence from two decades of European truck tests," Energy, Elsevier, vol. 232(C).
    20. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
    21. Chen, Qian & Zha, Donglan & Salman, Muhammad, 2022. "The influence of carbon tax on CO2 rebound effect and welfare in Chinese households," Energy Policy, Elsevier, vol. 168(C).
    22. Sylvain Weber & Mehdi Farsi, 2014. "Travel distance, fuel efficiency, and vehicle weight: An estimation of the rebound effect using individual data in Switzerland," IRENE Working Papers 14-03, IRENE Institute of Economic Research.
    23. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2013. "Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing," Energy Policy, Elsevier, vol. 57(C), pages 441-453.
    24. Solaymani, Saeed & Kardooni, Roozbeh & Yusoff, Sumiani Binti & Kari, Fatimah, 2015. "The impacts of climate change policies on the transportation sector," Energy, Elsevier, vol. 81(C), pages 719-728.
    25. Jaume Freire-González, 2019. "Does Water Efficiency Reduce Water Consumption? The Economy-Wide Water Rebound Effect," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2191-2202, April.
    26. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2016. "Who rebounds in the private transport sector? A comparative analysis between Beijing and Tokyo," Environment and Planning B, , vol. 43(3), pages 561-579, May.
    27. Ouyang, Xiaoling & Gao, Beiying & Du, Kerui & Du, Gang, 2018. "Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration," Energy, Elsevier, vol. 145(C), pages 408-416.
    28. Wang, Zhaohua & Han, Bai & Lu, Milin, 2016. "Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 852-861.
    29. Toroghi, Shahaboddin H. & Oliver, Matthew E., 2019. "Framework for estimation of the direct rebound effect for residential photovoltaic systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    30. Matthew E. Oliver & Juan Moreno-Cruz & Ross C. Beppler, 2019. "Microeconomics of the rebound effect for residential solar photovoltaic systems," CESifo Working Paper Series 7635, CESifo.

  113. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.

    Cited by:

    1. Lita Iulian & Stamule Tănase, 2018. "Using non-parametric technical data envelopment analysis - DEA, for measuring productive technical efficiency," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 12(1), pages 533-543, May.
    2. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    3. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    4. Gökgöz, Fazıl & Güvercin, Mustafa Taylan, 2018. "Energy security and renewable energy efficiency in EU," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 226-239.
    5. Qunwei Wang & Peng Zhou & Zengyao Zhao & Neng Shen, 2014. "Energy Efficiency and Energy Saving Potential in China: A Directional Meta-Frontier DEA Approach," Sustainability, MDPI, vol. 6(8), pages 1-17, August.
    6. Huang, Beijia & Zhang, Long & Ma, Linmao & Bai, Wuliyasu & Ren, Jingzheng, 2021. "Multi-criteria decision analysis of China’s energy security from 2008 to 2017 based on Fuzzy BWM-DEA-AR model and Malmquist Productivity Index," Energy, Elsevier, vol. 228(C).
    7. Zhang, Wei & You, Jianmin & Lin, Weiwen, 2021. "Internet plus and China industrial system's low-carbon development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    8. Halkos, George & Bampatsou, Christina, 2022. "Measuring environmental efficiency in relation to socio-economic factors: A two stage analysis," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 876-884.
    9. Bahram Fathi & Malihe Ashena & Majid Anisi, 2023. "Efficiency evaluation of sustainability indicators in a two-stage network structure: a Nash bargaining game approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1832-1851, February.
    10. Chen, Chien-Ming, 2013. "A critique of non-parametric efficiency analysis in energy economics studies," Energy Economics, Elsevier, vol. 38(C), pages 146-152.
    11. Isabel-Maria Bodas Freitas & Jojo Jacob & Lili Wang & Zibiao Li, 2023. "Energy use and exporting: an analysis of Chinese firms," Journal of Evolutionary Economics, Springer, vol. 33(1), pages 179-207, January.
    12. Ke Wang & Xueying Yu, 2017. "Industrial Energy and Environment Efficiency of Chinese Cities: An Analysis Based on Range-Adjusted Measure," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1023-1042, July.
    13. Zheming Yan & Rui Shi & Zhiming Yang, 2018. "ICT Development and Sustainable Energy Consumption: A Perspective of Energy Productivity," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    14. Meiqiang Wang & Yingwen Chen & Zhixiang Zhou, 2020. "A Novel Stochastic Two-Stage DEA Model for Evaluating Industrial Production and Waste Gas Treatment Systems," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
    15. Wang, Jian & Lv, Kangjuan & Bian, Yiwen & Cheng, Yu, 2017. "Energy efficiency and marginal carbon dioxide emission abatement cost in urban China," Energy Policy, Elsevier, vol. 105(C), pages 246-255.
    16. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    17. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
    18. Shiyi Chen & Shujian Zhang, 2014. "Large-Scale Land Use for Construction and Energy Consumption after the New Millennium with Their Impact on Total-Factor Efficiency Change in China’s Regional Economy," Energies, MDPI, vol. 7(4), pages 1-18, March.
    19. Noor Ramli & Susila Munisamy & Behrouz Arabi, 2013. "Scale directional distance function and its application to the measurement of eco-efficiency in the manufacturing sector," Annals of Operations Research, Springer, vol. 211(1), pages 381-398, December.
    20. Chia-Jung Tu & Ming-Chung Chang & Chiang-Ping Chen, 2016. "Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS," Sustainability, MDPI, vol. 8(9), pages 1-17, September.
    21. Barros, Carlos Pestana & Chen, Zhongfei & Managi, Shunsuke & Antunes, Olinda Sequeira, 2013. "Examining the cost efficiency of Chinese hydroelectric companies using a finite mixture model," Energy Economics, Elsevier, vol. 36(C), pages 511-517.
    22. Emrouznejad, Ali & Yang, Guo-liang, 2016. "A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries," Energy, Elsevier, vol. 115(P1), pages 840-856.
    23. Lin, Boqiang & Zhu, Runqing, 2022. "How does market-oriented reform influence the rebound effect of China’s mining industry?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 34-44.
    24. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    25. Toshiyuki Sueyoshi & Yan Yuan & Aijun Li & Daoping Wang, 2017. "Social Sustainability of Provinces in China: A Data Envelopment Analysis (DEA) Window Analysis under the Concepts of Natural and Managerial Disposability," Sustainability, MDPI, vol. 9(11), pages 1-18, November.
    26. Wang, Zhaohua & He, Weijun & Wang, Bo, 2017. "Performance and reduction potential of energy and CO2 emissions among the APEC's members with considering the return to scale," Energy, Elsevier, vol. 138(C), pages 552-562.
    27. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    28. Lin, Boqiang & Bai, Rui, 2020. "Dynamic energy performance evaluation of Chinese textile industry," Energy, Elsevier, vol. 199(C).
    29. Mahapatra, Bamadev & Irfan, Mohd, 2021. "Asymmetric impacts of energy efficiency on carbon emissions: A comparative analysis between developed and developing economies," Energy, Elsevier, vol. 227(C).
    30. Masayuki Shimizu, 2022. "Effects of pollution abatement activities on environmental efficiency and productivity: Empirical evidence from the Chinese industrial sector," Review of Development Economics, Wiley Blackwell, vol. 26(1), pages 484-509, February.
    31. Luping Zhang & Yingying Zhu & Liwei Fan, 2021. "Temporal-Spatial Structure and Influencing Factors of Urban Energy Efficiency in China’s Agglomeration Areas," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    32. Aizhen Zhang & Aijun Li & Yaping Gao, 2018. "Social Sustainability Assessment across Provinces in China: An Analysis of Combining Intermediate Approach with Data Envelopment Analysis (DEA) Window Analysis," Sustainability, MDPI, vol. 10(3), pages 1-24, March.
    33. Sheng-Hsiung Chiu & Tzu-Yu Lin & Hai-Lan Yang, 2020. "Measuring Energy Performance for Regional Sustainable Development in China: A New Framework based on a Dynamic Two-Stage SBM Approach," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
    34. Ming Meng & Yanan Fu & Tianyu Wang & Kaiqiang Jing, 2017. "Analysis of Low-Carbon Economy Efficiency of Chinese Industrial Sectors Based on a RAM Model with Undesirable Outputs," Sustainability, MDPI, vol. 9(3), pages 1-18, March.
    35. Neng Shen & Yuqing Zhao & Qunwei Wang, 2018. "Diversified Agglomeration, Specialized Agglomeration, and Emission Reduction Effect—A Nonlinear Test Based on Chinese City Data," Sustainability, MDPI, vol. 10(6), pages 1-22, June.
    36. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    37. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    38. Li, Yan & Wei, Yigang & Zhang, Xiaoling & Tao, Yuan, 2020. "Regional and provincial CO2 emission reduction task decomposition of China's 2030 carbon emission peak based on the efficiency, equity and synthesizing principles," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 237-256.
    39. Xian’En Wang & Shimeng Wang & Xipan Wang & Wenbo Li & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "The Assessment of Carbon Performance under the Region-Sector Perspective based on the Nonparametric Estimation: A Case Study of the Northern Province in China," Sustainability, MDPI, vol. 11(21), pages 1-23, October.
    40. Masayuki Shimizu & Oscar Tiku, 2023. "Evaluation of environmental energy efficiency and its influencing factors: a prefecture-level analysis of Japanese manufacturing industries," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-26, December.
    41. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    42. Lin, Boqiang & Du, Kerui, 2015. "Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach," Energy Economics, Elsevier, vol. 49(C), pages 550-557.
    43. Makridou, Georgia & Andriosopoulos, Kostas & Doumpos, Michael & Zopounidis, Constantin, 2016. "Measuring the efficiency of energy-intensive industries across European countries," Energy Policy, Elsevier, vol. 88(C), pages 573-583.
    44. Rolf Färe & Shawna Grosskopf & Carl A. Pasurka & Ron Shadbegian, 2018. "Pollution abatement and employment," Empirical Economics, Springer, vol. 54(1), pages 259-285, February.
    45. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2016. "Environmental investment and firm performance: A network approach," Energy Economics, Elsevier, vol. 57(C), pages 243-255.
    46. Yongjun Li & Wenhui Hou & Weiwei Zhu & Feng Li & Liang Liang, 2021. "Provincial carbon emission performance analysis in China based on a Malmquist data envelopment analysis approach with fixed-sum undesirable outputs," Annals of Operations Research, Springer, vol. 304(1), pages 233-261, September.
    47. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.
    48. Lin, Boqiang & Du, Kerui, 2014. "Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 129(C), pages 158-165.
    49. Andrew Adewale Alola & Tomiwa Sunday Adebayo & Ifedolapo Olabisi Olanipekun, 2023. "Examining the Energy Efficiency and Economic Growth Potential in the World Energy Trilemma Countries," Energies, MDPI, vol. 16(4), pages 1-21, February.
    50. Bian, Yiwen & He, Ping & Xu, Hao, 2013. "Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach," Energy Policy, Elsevier, vol. 63(C), pages 962-971.
    51. Sueyoshi, Toshiyuki & Yuan, Yan, 2015. "China's regional sustainability and diversified resource allocation: DEA environmental assessment on economic development and air pollution," Energy Economics, Elsevier, vol. 49(C), pages 239-256.
    52. Lizhan Cao & Zhongying Qi & Junxia Ren, 2017. "China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    53. Ya Chen & Wade D. Cook & Juan Du & Hanhui Hu & Joe Zhu, 2017. "Bounded and discrete data and Likert scales in data envelopment analysis: application to regional energy efficiency in China," Annals of Operations Research, Springer, vol. 255(1), pages 347-366, August.
    54. F. Wu & P. Zhou & D. Zhou, 2015. "Measuring Energy Congestion in Chinese Industrial Sectors: A Slacks-Based DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 479-494, October.
    55. Wen Guo & Tao Sun & Hongjun Dai, 2017. "Efficiency Allocation of Provincial Carbon Reduction Target in China’s “13·5” Period: Based on Zero-Sum-Gains SBM Model," Sustainability, MDPI, vol. 9(2), pages 1-18, January.
    56. Nepal, Rabindra & Musibau, Hammed Oluwaseyi & Jamasb, Tooraj, 2021. "Energy consumption as an indicator of energy efficiency and emissions in the European Union: A GMM based quantile regression approach," Energy Policy, Elsevier, vol. 158(C).
    57. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    58. Makridou, Georgia & Doumpos, Michalis & Galariotis, Emilios, 2019. "The financial performance of firms participating in the EU emissions trading scheme," Energy Policy, Elsevier, vol. 129(C), pages 250-259.
    59. Duman, Yavuz Selman & Kasman, Adnan, 2018. "Environmental technical efficiency in EU member and candidate countries: A parametric hyperbolic distance function approach," Energy, Elsevier, vol. 147(C), pages 297-307.
    60. Wang, Ning & Li, Heng & Liu, Gengyuan & Meng, Fanxin & Shan, Shaolei & Wang, Zongshui, 2018. "Developing a more comprehensive energy efficiency index for coal production: Indicators, methods and case study," Energy, Elsevier, vol. 162(C), pages 944-952.
    61. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2013. "Energy and emissions efficiency patterns of Chinese regions: A multi-directional efficiency analysis," Applied Energy, Elsevier, vol. 104(C), pages 105-116.
    62. Lei, Ming & Yin, Zihan & Yu, Xiaowen & Deng, Shijie, 2017. "Carbon-weighted economic development performance and driving force analysis: Evidence from China," Energy Policy, Elsevier, vol. 111(C), pages 179-192.
    63. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    64. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    65. Wang, Chen & Engels, Anita & Wang, Zhaohua, 2018. "Overview of research on China's transition to low-carbon development: The role of cities, technologies, industries and the energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1350-1364.
    66. Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.
    67. Bampatsou, Christina & Halkos, George, 2018. "Dynamics of productivity taking into consideration the impact of energy consumption and environmental degradation," Energy Policy, Elsevier, vol. 120(C), pages 276-283.
    68. Du, Minzhe & Wang, Bing & Zhang, Ning, 2018. "National research funding and energy efficiency: Evidence from the National Science Foundation of China," Energy Policy, Elsevier, vol. 120(C), pages 335-346.
    69. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).
    70. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    71. Yang, Guo-liang & Fukuyama, Hirofumi & Song, Yao-yao, 2019. "Estimating capacity utilization of Chinese manufacturing industries," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 94-110.
    72. Ouyang, Xiaoling & Wei, Xiaoyun & Sun, Chuanwang & Du, Gang, 2018. "Impact of factor price distortions on energy efficiency: Evidence from provincial-level panel data in China," Energy Policy, Elsevier, vol. 118(C), pages 573-583.
    73. Ning Zhang & Jong-Dae Kim, 2014. "Measuring sustainability by Energy Efficiency Analysis for Korean Power Companies: A Sequential Slacks-Based Efficiency Measure," Sustainability, MDPI, vol. 6(3), pages 1-13, March.
    74. Bampatsou, Christina & Halkos, George, 2019. "Economic growth, efficiency and environmental elasticity for the G7 countries," Energy Policy, Elsevier, vol. 130(C), pages 355-360.
    75. Ouyang, Xiaoling & Chen, Jiaqi & Du, Kerui, 2021. "Energy efficiency performance of the industrial sector: From the perspective of technological gap in different regions in China," Energy, Elsevier, vol. 214(C).
    76. Wang, Zhen & Wei, Liyuan & Niu, Beibei & Liu, Yong & Bin, Guoshu, 2017. "Controlling embedded carbon emissions of sectors along the supply chains: A perspective of the power-of-pull approach," Applied Energy, Elsevier, vol. 206(C), pages 1544-1551.
    77. Azhgaliyeva, Dina & Liu, Yang & Liddle, Brantley, 2020. "An empirical analysis of energy intensity and the role of policy instruments," Energy Policy, Elsevier, vol. 145(C).
    78. Feng, Chao & Wang, Miao, 2017. "The economy-wide energy efficiency in China’s regional building industry," Energy, Elsevier, vol. 141(C), pages 1869-1879.
    79. Tengfei Huo & Hong Ren & Weiguang Cai & Wei Feng & Miaohan Tang & Nan Zhou, 2018. "The total-factor energy productivity growth of China’s construction industry: evidence from the regional level," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1593-1616, July.
    80. Ramli, Noor Asiah & Munisamy, Susila, 2015. "Eco-efficiency in greenhouse emissions among manufacturing industries: A range adjusted measure," Economic Modelling, Elsevier, vol. 47(C), pages 219-227.
    81. He, Yong & Liao, Nuo & Zhou, Ya, 2018. "Analysis on provincial industrial energy efficiency and its influencing factors in China based on DEA-RS-FANN," Energy, Elsevier, vol. 142(C), pages 79-89.
    82. Wei Yang & Zudi Lu & Di Wang & Yanmin Shao & Jinfeng Shi, 2020. "Sustainable Evolution of China’s Regional Energy Efficiency Based on a Weighted SBM Model with Energy Substitutability," Sustainability, MDPI, vol. 12(23), pages 1-22, December.
    83. Harald Dyckhoff & Rainer Souren, 2023. "Are important phenomena of joint production still being neglected by economic theory? A review of recent literature," Journal of Business Economics, Springer, vol. 93(6), pages 1015-1053, August.
    84. Chia-Nan Wang & Hong-Xuyen Thi Ho & Ming-Hsien Hsueh, 2017. "An Integrated Approach for Estimating the Energy Efficiency of Seventeen Countries," Energies, MDPI, vol. 10(10), pages 1-16, October.
    85. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Returns to damage under undesirable congestion and damages to return under desirable congestion measured by DEA environmental assessment with multiplier restriction: Economic and energy planning for s," Energy Economics, Elsevier, vol. 56(C), pages 288-309.
    86. Zhang, Yue-Jun & Liu, Jing-Yue & Su, Bin, 2020. "Carbon congestion effects in China's industry: Evidence from provincial and sectoral levels," Energy Economics, Elsevier, vol. 86(C).
    87. Meng, Conghui & Du, Xiaoyun & Zhu, Mengcheng & Ren, Yitian & Fang, Kai, 2023. "The static and dynamic carbon emission efficiency of transport industry in China," Energy, Elsevier, vol. 274(C).
    88. Hailiang Ma & Chenling Shi & Nan-Ting Chou, 2016. "China’s Water Utilization Efficiency: An Analysis with Environmental Considerations," Sustainability, MDPI, vol. 8(6), pages 1-15, May.
    89. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    90. Li-Ming Xue & Zhi-Xue Zheng & Shuo Meng & Mingjun Li & Huaqing Li & Ji-Ming Chen, 2022. "Carbon emission efficiency and spatio-temporal dynamic evolution of the cities in Beijing-Tianjin-Hebei Region, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7640-7664, June.
    91. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    92. Wen-Ling Hsiao & Jin-Li Hu & Chan Hsiao & Ming-Chung Chang, 2018. "Energy Efficiency of the Baltic Sea Countries: An Application of Stochastic Frontier Analysis," Energies, MDPI, vol. 12(1), pages 1-11, December.
    93. Zhou, D.Q. & Wu, F. & Zhou, X. & Zhou, P., 2016. "Output-specific energy efficiency assessment: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 177(C), pages 117-126.
    94. Zhiyang Shen & Jean-Philippe Boussemart & Hervé Leleu, 2016. "Worldwide carbon shadow prices during 1990–2011," Working Papers 2016-EQM-04, IESEG School of Management.
    95. Lin, Boqiang & Sai, Rockson, 2022. "Sustainable transitioning in Africa: A historical evaluation of energy productivity changes and determinants," Energy, Elsevier, vol. 250(C).
    96. Zhaoqiang Zhong & Benhong Peng & Ehsan Elahi, 2021. "Spatial and temporal pattern evolution and influencing factors of energy–environmental efficiency: A case study of Yangtze River urban agglomeration in China," Energy & Environment, , vol. 32(2), pages 242-261, March.
    97. Zhu, Lin & Wang, Yong & Shang, Peipei & Qi, Lin & Yang, Guangchun & Wang, Ying, 2019. "Improvement path, the improvement potential and the dynamic evolution of regional energy efficiency in China: Based on an improved nonradial multidirectional efficiency analysis," Energy Policy, Elsevier, vol. 133(C).
    98. Kounetas, Konstantinos & Stergiou, Eirini, 2019. "Technology heterogeneity in European industries' energy efficiency performance. The role of climate, greenhouse gases, path dependence and energy mix," MPRA Paper 92314, University Library of Munich, Germany.
    99. Yiwen Bian & Kangjuan Lv & Anyu Yu, 2017. "China’s regional energy and carbon dioxide emissions efficiency evaluation with the presence of recovery energy: an interval slacks-based measure approach," Annals of Operations Research, Springer, vol. 255(1), pages 301-321, August.
    100. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    101. Shabani, Mohadeseh & Kordrostami, Sohrab & Jahani Sayyad Noveiri, Monireh, 2023. "Renewable energy performance analysis using fuzzy dynamic directional distance function model under natural and managerial disposability," Applied Energy, Elsevier, vol. 352(C).
    102. Kerui Du & Boqiang Lin & Chunping Xie, 2017. "Exploring Change in China’s Carbon Intensity: A Decomposition Approach," Sustainability, MDPI, vol. 9(2), pages 1-14, February.
    103. Sueyoshi, Toshiyuki & Yuan, Yan, 2015. "Comparison among U.S. industrial sectors by DEA environmental assessment: Equipped with analytical capability to handle zero or negative in production factors," Energy Economics, Elsevier, vol. 52(PA), pages 69-86.
    104. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    105. Chia-Nan Wang & Anh Luyen Le, 2018. "Measuring the Macroeconomic Performance among Developed Countries and Asian Developing Countries: Past, Present, and Future," Sustainability, MDPI, vol. 10(10), pages 1-18, October.
    106. Lin, Boqiang & Du, Kerui, 2013. "Technology gap and China's regional energy efficiency: A parametric metafrontier approach," Energy Economics, Elsevier, vol. 40(C), pages 529-536.
    107. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    108. Ching-Ren Chiu & Ming-Chung Chang & Jin-Li Hu, 2022. "Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries," Journal of Productivity Analysis, Springer, vol. 57(3), pages 297-311, June.
    109. Yongzhong Jiang & Xueli Chen & Vivian Valdmanis & Tomas Baležentis, 2019. "Evaluating Economic and Environmental Performance of the Chinese Industry Sector," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
    110. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.
    111. Lina Sineviciene & Iryna Sotnyk & Oleksandr Kubatko, 2017. "Determinants of energy efficiency and energy consumption of Eastern Europe post-communist economies," Energy & Environment, , vol. 28(8), pages 870-884, December.
    112. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    113. Li, Jianglong & Lin, Boqiang, 2017. "Ecological total-factor energy efficiency of China's heavy and light industries: Which performs better?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 83-94.
    114. Li, Jianglong & Liu, Hongxun & Du, Kerui, 2019. "Does market-oriented reform increase energy rebound effect? Evidence from China's regional development," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    115. Lin, Boqiang & Chen, Xing, 2020. "How technological progress affects input substitution and energy efficiency in China: A case of the non-ferrous metals industry," Energy, Elsevier, vol. 206(C).
    116. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    117. Liao, Nuo & He, Yong, 2018. "Exploring the effects of influencing factors on energy efficiency in industrial sector using cluster analysis and panel regression model," Energy, Elsevier, vol. 158(C), pages 782-795.
    118. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
    119. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin & Jiang, Hongdian, 2022. "How does industrial structure adjustment reduce CO2 emissions? Spatial and mediation effects analysis for China," Energy Economics, Elsevier, vol. 105(C).
    120. Yue-Jun Zhang & Jun-Fang Hao, 2017. "Carbon emission quota allocation among China’s industrial sectors based on the equity and efficiency principles," Annals of Operations Research, Springer, vol. 255(1), pages 117-140, August.
    121. Linlin Zhao & Lin Zhang & Yong Zha, 2019. "Industrial Efficiency Evaluation in China: A Nonparametric Production-Frontier Approach," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    122. Ke Wang & Yi-Ming Wei, 2014. "China's regional industrial energy efficiency and carbon emissions abatement costs," CEEP-BIT Working Papers 64, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    123. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    124. Maliyamu Abudureheman & Qingzhe Jiang & Xiucheng Dong & Cong Dong, 2022. "CO 2 Emissions in China: Does the Energy Rebound Matter?," Energies, MDPI, vol. 15(12), pages 1-25, June.
    125. Liang Chen & Zhifeng Yang & Bin Chen, 2013. "Decomposition Analysis of Energy-Related Industrial CO 2 Emissions in China," Energies, MDPI, vol. 6(5), pages 1-19, April.
    126. Lin, Boqiang & Du, Kerui, 2014. "Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy," Energy, Elsevier, vol. 76(C), pages 884-890.
    127. Jin, Gang & Yu, Binbin & Shen, Kunrong, 2021. "Domestic trade and energy productivity in China: An inverted U-shaped relationship," Energy Economics, Elsevier, vol. 97(C).
    128. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    129. Ning Zhang & Fanbin Kong & Chih-Chun Kung, 2015. "On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 389-404, October.
    130. Abudureheman, Maliyamu & Jiang, Qingzhe & Dong, Xiucheng & Dong, Cong, 2022. "Spatial effects of dynamic comprehensive energy efficiency on CO2 reduction in China," Energy Policy, Elsevier, vol. 166(C).
    131. Ghodeswar, Archana & Oliver, Matthew E., 2022. "Trading one waste for another? Unintended consequences of fly ash reuse in the Indian electric power sector," Energy Policy, Elsevier, vol. 165(C).
    132. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    133. Wei Li & Guomin Li & Rongxia Zhang & Wen Sun & Wen Wu & Baihui Jin & Pengfei Cui, 2017. "Carbon Reduction Potential of Resource-Dependent Regions Based on Simulated Annealing Programming Algorithm," Sustainability, MDPI, vol. 9(7), pages 1-17, July.
    134. Chiang-Ping Chen & Ming-Chung Chang & Wei-Che Tsai, 2021. "Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: Evidence from ASEAN+6," SAGE Open, , vol. 11(3), pages 21582440211, September.
    135. Muhammad Imran & Sajid Ali & Yousef Shahwan & Jijian Zhang & Issa Ahmad Al-Swiety, 2022. "Analyzing the Effects of Renewable and Nonrenewable Energy Usage and Technological Innovation on Environmental Sustainability: Evidence from QUAD Economies," Sustainability, MDPI, vol. 14(23), pages 1-16, November.
    136. Rongxin Wu & Boqiang Lin, 2022. "Does Energy Efficiency Realize Energy Conservation in the Iron and Steel Industry? A Perspective of Energy Rebound Effect," IJERPH, MDPI, vol. 19(18), pages 1-20, September.
    137. Hu, Yucai & Ren, Shenggang & Wang, Yangjie & Chen, Xiaohong, 2020. "Can carbon emission trading scheme achieve energy conservation and emission reduction? Evidence from the industrial sector in China," Energy Economics, Elsevier, vol. 85(C).
    138. Hu, Baiding, 2014. "Measuring plant level energy efficiency in China's energy sector in the presence of allocative inefficiency," China Economic Review, Elsevier, vol. 31(C), pages 130-144.
    139. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.

  114. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.

    Cited by:

    1. Xie, Hualin & Chen, Qianru & Lu, Fucai & Wu, Qing & Wang, Wei, 2018. "Spatial-temporal disparities, saving potential and influential factors of industrial land use efficiency: A case study in urban agglomeration in the middle reaches of the Yangtze River," Land Use Policy, Elsevier, vol. 75(C), pages 518-529.
    2. Liu, Haiying & Owens, Katharine A. & Yang, Ke & Zhang, Chunhong, 2020. "Pollution abatement costs and technical changes under different environmental regulations," China Economic Review, Elsevier, vol. 62(C).
    3. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    4. Kounetas, Konstantinos, 2015. "Heterogeneous technologies, strategic groups and environmental efficiency technology gaps for European countries," Energy Policy, Elsevier, vol. 83(C), pages 277-287.
    5. Qinliang Tan & Jin Zheng & Yihong Ding & Yimei Zhang, 2020. "Provincial Carbon Emission Quota Allocation Study in China from the Perspective of Abatement Cost and Regional Cooperation," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    6. Dong-Hyun Oh & JongWuk Ahn & Sinwoo Lee & Hyundo Choi, 2021. "Measuring technical inefficiency and CO2 shadow price of Korean fossil-fuel generation companies using deterministic and stochastic approaches," Energy & Environment, , vol. 32(3), pages 403-423, May.
    7. Lu, Shibao & Wang, Jianhua & Shang, Yizi & Bao, Haijun & Chen, Huixiong, 2017. "Potential assessment of optimizing energy structure in the city of carbon intensity target," Applied Energy, Elsevier, vol. 194(C), pages 765-773.
    8. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    9. Chang, Young-Tae & Zhang, Ning & Danao, Denise & Zhang, Nan, 2013. "Environmental efficiency analysis of transportation system in China: A non-radial DEA approach," Energy Policy, Elsevier, vol. 58(C), pages 277-283.
    10. Pan, Xiongfeng & Li, Jinming, 2023. "Measurements and spatio-temporal evolution of regional energy efficiency convergence in China," Energy, Elsevier, vol. 284(C).
    11. He, Weijun & Wang, Bo & Danish, & Wang, Zhaohua, 2018. "Will regional economic integration influence carbon dioxide marginal abatement costs? Evidence from Chinese panel data," Energy Economics, Elsevier, vol. 74(C), pages 263-274.
    12. Gao, Tianming & Shen, Lei & Shen, Ming & Liu, Litao & Chen, Fengnan & Gao, Li, 2017. "Evolution and projection of CO2 emissions for China's cement industry from 1980 to 2020," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 522-537.
    13. Lin, Boqiang & Li, Zheng, 2022. "Towards world's low carbon development: The role of clean energy," Applied Energy, Elsevier, vol. 307(C).
    14. Bi, Gong-Bing & Song, Wen & Zhou, P. & Liang, Liang, 2014. "Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model," Energy Policy, Elsevier, vol. 66(C), pages 537-546.
    15. Chunbo Ma and Atakelty Hailu, 2016. "The Marginal Abatement Cost of Carbon Emissions in China," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    16. Hongjun Dai & Tao Sun & Wen Guo, 2016. "Brownfield Redevelopment Evaluation Based on Fuzzy Real Options," Sustainability, MDPI, vol. 8(2), pages 1-10, February.
    17. Jianjun Wang & Li Li & Fan Zhang & Qiannan Xu, 2014. "Carbon Emissions Abatement Cost in China: Provincial Panel Data Analysis," Sustainability, MDPI, vol. 6(5), pages 1-17, May.
    18. Yang, Lisha & Lin, Boqiang, 2016. "Carbon dioxide-emission in China׳s power industry: Evidence and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 258-267.
    19. Song, Chenxi & Li, Mingjia & Wen, Zhexi & He, Ya-Ling & Tao, Wen-Quan & Li, Yangzhe & Wei, Xiangyang & Yin, Xiaolan & Huang, Xing, 2014. "Research on energy efficiency evaluation based on indicators for industry sectors in China," Applied Energy, Elsevier, vol. 134(C), pages 550-562.
    20. Wang, Jian & Lv, Kangjuan & Bian, Yiwen & Cheng, Yu, 2017. "Energy efficiency and marginal carbon dioxide emission abatement cost in urban China," Energy Policy, Elsevier, vol. 105(C), pages 246-255.
    21. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    22. Visani, Franco & Boccali, Filippo, 2020. "Purchasing price assessment of leverage items: A Data Envelopment Analysis approach," International Journal of Production Economics, Elsevier, vol. 223(C).
    23. Jin, Cheng & Razzaq, Asif & Saleem, Faiza & Sinha, Avik, 2021. "Asymmetric effects of Eco-innovation and Human Capital development in realizing Environmental Sustainability in China: Evidence from Quantile ARDL framework," MPRA Paper 111922, University Library of Munich, Germany, revised 2021.
    24. Wang, Xipan & Song, Junnian & Duan, Haiyan & Wang, Xian'en, 2021. "Coupling between energy efficiency and industrial structure: An urban agglomeration case," Energy, Elsevier, vol. 234(C).
    25. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
    26. Noor Ramli & Susila Munisamy & Behrouz Arabi, 2013. "Scale directional distance function and its application to the measurement of eco-efficiency in the manufacturing sector," Annals of Operations Research, Springer, vol. 211(1), pages 381-398, December.
    27. Chia-Jung Tu & Ming-Chung Chang & Chiang-Ping Chen, 2016. "Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS," Sustainability, MDPI, vol. 8(9), pages 1-17, September.
    28. Shuangjie Li & Li Li & Liming Wang, 2020. "2030 Target for Energy Efficiency and Emission Reduction in the EU Paper Industry," Energies, MDPI, vol. 14(1), pages 1-17, December.
    29. Hongjun Dai & Tao Sun & Kun Zhang & Wen Guo, 2015. "Research on Rural Nonpoint Source Pollution in the Process of Urban-Rural Integration in the Economically-Developed Area in China Based on the Improved STIRPAT Model," Sustainability, MDPI, vol. 7(1), pages 1-12, January.
    30. Hualin Xie & Wei Wang, 2015. "Exploring the Spatial-Temporal Disparities of Urban Land Use Economic Efficiency in China and Its Influencing Factors under Environmental Constraints Based on a Sequential Slacks-Based Model," Sustainability, MDPI, vol. 7(8), pages 1-20, July.
    31. Minxing Jiang & Bangzhu Zhu & Julien Chevallier & Rui Xie, 2018. "Allocating Provincial CO2 Quotas for the Chinese National Carbon Program," Working Papers 2018-010, Department of Research, Ipag Business School.
    32. He, Weijun & Yang, Yi & Wang, Zhaohua & Zhu, Joe, 2018. "Estimation and allocation of cost savings from collaborative CO2 abatement in China," Energy Economics, Elsevier, vol. 72(C), pages 62-74.
    33. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.
    34. Xiang Liu & Jia Liu, 2016. "Measurement of Low Carbon Economy Efficiency with a Three-Stage Data Envelopment Analysis: A Comparison of the Largest Twenty CO 2 Emitting Countries," IJERPH, MDPI, vol. 13(11), pages 1-14, November.
    35. Wei, Xiao & Zhang, Ning, 2020. "The shadow prices of CO2 and SO2 for Chinese Coal-fired Power Plants: A partial frontier approach," Energy Economics, Elsevier, vol. 85(C).
    36. Cui, Lixin & Dong, Ruxue & Mu, Yunguo & Shen, Zhiyang & Xu, Jiatong, 2022. "How policy preferences affect the carbon shadow price in the OECD," Applied Energy, Elsevier, vol. 311(C).
    37. Li, Yuan & Zhu, Lei, 2014. "Cost of energy saving and CO2 emissions reduction in China’s iron and steel sector," Applied Energy, Elsevier, vol. 130(C), pages 603-616.
    38. Fei, Rilong & Lin, Boqiang, 2017. "The integrated efficiency of inputs–outputs and energy – CO2 emissions performance of China's agricultural sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 668-676.
    39. Yanni Yu & Yongrok Choi, 2015. "Measuring Environmental Performance Under Regional Heterogeneity in China: A Metafrontier Efficiency Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 375-388, October.
    40. Xiaoyan Sun & Wenwei Lian & Hongmei Duan & Anjian Wang, 2021. "Factors Affecting Wind Power Efficiency: Evidence from Provincial-Level Data in China," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    41. Xiang Chen & Xuping Zhang & Xin Wu & Ching-Cheng Lu, 2022. "The environmental health and energy efficiency in China: A network slacks-based measure," Energy & Environment, , vol. 33(1), pages 170-188, February.
    42. Li, Jianglong & Lin, Boqiang, 2017. "Does energy and CO2 emissions performance of China benefit from regional integration?," Energy Policy, Elsevier, vol. 101(C), pages 366-378.
    43. Yue‐Jun Zhang & Jing‐Yue Liu & Richard T. Woodward, 2023. "Has Chinese Certified Emission Reduction trading reduced rural poverty in China?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(3), pages 438-458, July.
    44. Xie, Hualin & Yu, Yanni & Wang, Wei & Liu, Yanchu, 2017. "The substitutability of non-fossil energy, potential carbon emission reduction and energy shadow prices in China," Energy Policy, Elsevier, vol. 107(C), pages 63-71.
    45. Cui, Lian-Biao & Fan, Ying & Zhu, Lei & Bi, Qing-Hua, 2014. "How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target?," Applied Energy, Elsevier, vol. 136(C), pages 1043-1052.
    46. Rashidi, Kamran & Cullinane, Kevin, 2019. "Evaluating the sustainability of national logistics performance using Data Envelopment Analysis," Transport Policy, Elsevier, vol. 74(C), pages 35-46.
    47. Wang, Xiaolei & Lin, Boqiang, 2016. "How to reduce CO2 emissions in China׳s iron and steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1496-1505.
    48. Di Maria, Corrado & Zarkovic, Maja & Hintermann, Beat, 2020. "Are Emissions Trading Schemes Cost-effective?," Working papers 2020/13, Faculty of Business and Economics - University of Basel.
    49. Pan, Xunzhang & Teng, Fei & Ha, Yuejiao & Wang, Gehua, 2014. "Equitable Access to Sustainable Development: Based on the comparative study of carbon emission rights allocation schemes," Applied Energy, Elsevier, vol. 130(C), pages 632-640.
    50. Wen Guo & Tao Sun & Hongjun Dai, 2016. "Effect of Population Structure Change on Carbon Emission in China," Sustainability, MDPI, vol. 8(3), pages 1-20, March.
    51. Antunes, Jorge & Tan, Yong & Wanke, Peter & Jabbour, Charbel Jose Chiappetta, 2023. "Impact of R&D and innovation in Chinese road transportation sustainability performance: A novel trigonometric envelopment analysis for ideal solutions (TEA-IS)," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    52. Wei, Yigang & Liang, Xin & Xu, Liang & Kou, Gang & Chevallier, Julien, 2023. "Trading, storage, or penalty? Uncovering firms' decision-making behavior in the Shanghai emissions trading scheme: Insights from agent-based modeling," Energy Economics, Elsevier, vol. 117(C).
    53. Shu-Chuan Chen & Da-Sheng Lee & Chien-Yi Huang, 2021. "Evaluating the Sustainable Operating Performance of Electronics Industry Groups: Taiwanese Firms in Mainland China," Sustainability, MDPI, vol. 13(21), pages 1-28, October.
    54. Kang, Jijun & Yu, Chenyang & Xue, Rui & Yang, Dong & Shan, Yuli, 2022. "Can regional integration narrow city-level energy efficiency gap in China?," Energy Policy, Elsevier, vol. 163(C).
    55. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    56. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    57. Zhang, Puwei & You, Jianxin & Jia, Guangshe & Chen, Jindao & Yu, Anyu, 2018. "Estimation of carbon efficiency decomposition in materials and potential material savings for China's construction industry," Resources Policy, Elsevier, vol. 59(C), pages 148-159.
    58. Long, Xingle & Zhao, Xicang & Cheng, Faxin, 2015. "The comparison analysis of total factor productivity and eco-efficiency in China's cement manufactures," Energy Policy, Elsevier, vol. 81(C), pages 61-66.
    59. Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
    60. Xian’En Wang & Shimeng Wang & Xipan Wang & Wenbo Li & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "The Assessment of Carbon Performance under the Region-Sector Perspective based on the Nonparametric Estimation: A Case Study of the Northern Province in China," Sustainability, MDPI, vol. 11(21), pages 1-23, October.
    61. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    62. Snovia Naseem & Tong Guang Ji & Umair Kashif & Muhammad Zulqarnain Arshad, 2021. "Causal analysis of the dynamic link between energy growth and environmental quality for agriculture sector: a piece of evidence from India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7913-7930, May.
    63. Zhang, Weijie & Zhang, Ning & Yu, Yanni, 2019. "Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 1-11.
    64. Lee, Taehwee & Yeo, Gi-Tae & Thai, Vinh V., 2014. "Environmental efficiency analysis of port cities: Slacks-based measure data envelopment analysis approach," Transport Policy, Elsevier, vol. 33(C), pages 82-88.
    65. Yu, Anyu & You, Jianxin & Rudkin, Simon & Zhang, Hao, 2019. "Industrial carbon abatement allocations and regional collaboration: Re-evaluating China through a modified data envelopment analysis," Applied Energy, Elsevier, vol. 233, pages 232-243.
    66. Lin, Boqiang & Du, Kerui, 2015. "Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach," Energy Economics, Elsevier, vol. 49(C), pages 550-557.
    67. Zhang, Ning & Choi, Yongrok, 2013. "A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and Korea," Energy Policy, Elsevier, vol. 62(C), pages 324-332.
    68. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    69. Changfeng Shi & Xinhui Liu & Min Gu & Qinghua Pang & Zhen Shi, 2021. "Evaluation of the impact of energy utilization and PM on respiratory health in China," Energy & Environment, , vol. 32(3), pages 380-402, May.
    70. Michieka, Nyakundi M. & Fletcher, Jerald & Burnett, Wesley, 2013. "An empirical analysis of the role of China’s exports on CO2 emissions," Applied Energy, Elsevier, vol. 104(C), pages 258-267.
    71. Yu Liu & Hongwei Xiao & Ning Zhang, 2016. "Industrial Carbon Emissions of China’s Regions: A Spatial Econometric Analysis," Sustainability, MDPI, vol. 8(3), pages 1-14, February.
    72. Demiral, Elif E. & Sağlam, Ümit, 2021. "Eco-efficiency and Eco-productivity assessments of the states in the United States: A two-stage Non-parametric analysis," Applied Energy, Elsevier, vol. 303(C).
    73. Zhang, Ning & Kong, Fanbin & Choi, Yongrok, 2014. "Measuring sustainability performance for China: A sequential generalized directional distance function approach," Economic Modelling, Elsevier, vol. 41(C), pages 392-397.
    74. Bian, Yiwen & He, Ping & Xu, Hao, 2013. "Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach," Energy Policy, Elsevier, vol. 63(C), pages 962-971.
    75. Rawshan Ara Begum & Asif Raihan & Mohd Nizam Mohd Said, 2020. "Dynamic Impacts of Economic Growth and Forested Area on Carbon Dioxide Emissions in Malaysia," Sustainability, MDPI, vol. 12(22), pages 1-15, November.
    76. Jiasen Sun & Guo Li, 2022. "Optimizing emission reduction task sharing: technology and performance perspectives," Annals of Operations Research, Springer, vol. 316(1), pages 581-602, September.
    77. Chiqun Hu & Xiaoyu Ma, 2023. "Regional Differences, Dynamic Evolution and Convergence of Carbon Emissions from Rural Residents’ Living Consumption: Evidence from China," Energies, MDPI, vol. 16(16), pages 1-30, August.
    78. Feng Dong & Ruyin Long & Zhengfu Bian & Xihui Xu & Bolin Yu & Ying Wang, 2017. "Applying a Ruggiero three-stage super-efficiency DEA model to gauge regional carbon emission efficiency: evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1453-1468, July.
    79. Yang, Fan & Lee, Hyoungsuk, 2022. "An innovative provincial CO2 emission quota allocation scheme for Chinese low-carbon transition," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    80. Yang, Jun & Cheng, Jixin & Zou, Ran & Geng, Zhifei, 2021. "Industrial SO2 technical efficiency, reduction potential and technology heterogeneities of China's prefecture-level cities: A multi-hierarchy meta-frontier parametric approach," Energy Economics, Elsevier, vol. 104(C).
    81. Sueyoshi, Toshiyuki & Yuan, Yan, 2015. "China's regional sustainability and diversified resource allocation: DEA environmental assessment on economic development and air pollution," Energy Economics, Elsevier, vol. 49(C), pages 239-256.
    82. Ya Chen & Wade D. Cook & Juan Du & Hanhui Hu & Joe Zhu, 2017. "Bounded and discrete data and Likert scales in data envelopment analysis: application to regional energy efficiency in China," Annals of Operations Research, Springer, vol. 255(1), pages 347-366, August.
    83. Ying Wang & Peipei Shang & Lichun He & Yingchun Zhang & Dandan Liu, 2018. "Can China Achieve the 2020 and 2030 Carbon Intensity Targets through Energy Structure Adjustment?," Energies, MDPI, vol. 11(10), pages 1-32, October.
    84. Du, Limin & Mao, Jie, 2015. "Estimating the environmental efficiency and marginal CO2 abatement cost of coal-fired power plants in China," Energy Policy, Elsevier, vol. 85(C), pages 347-356.
    85. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "The Impact of Economic Growth and Air Pollution on Public Health in 31 Chinese Cities," IJERPH, MDPI, vol. 16(3), pages 1-26, January.
    86. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    87. Zhong, Shen & Li, Junwei & Qu, Yi, 2022. "Green total factor productivity of dairy cow in China: Key facts from scale and regional sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    88. Liao, Hua & Du, Jian & Wei, Yi-Ming, 2013. "Energy conservation in China: Key provincial sectors at two-digit level," Applied Energy, Elsevier, vol. 104(C), pages 457-465.
    89. Xiaoqing Wang & Qiuming Wu & Salman Majeed & Donghao Sun, 2018. "Fujian’s Industrial Eco-Efficiency: Evaluation Based on SBM and the Empirical Analysis of lnfluencing Factors," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    90. Lee, Sang-choon & Oh, Dong-hyun & Lee, Jeong-dong, 2014. "A new approach to measuring shadow price: Reconciling engineering and economic perspectives," Energy Economics, Elsevier, vol. 46(C), pages 66-77.
    91. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2013. "Energy and emissions efficiency patterns of Chinese regions: A multi-directional efficiency analysis," Applied Energy, Elsevier, vol. 104(C), pages 105-116.
    92. Andrianesis, Panagiotis & Biskas, Pandelis & Liberopoulos, George, 2021. "Evaluating the cost of emissions in a pool-based electricity market," Applied Energy, Elsevier, vol. 298(C).
    93. Pu, Zhengning & Fu, Jiasha & Zhang, Chi & Shao, Jun, 2018. "Structure decomposition analysis of embodied carbon from transition economies," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 1-12.
    94. Baochen Yang & Chuanze Liu & Yunpeng Su & Xin Jing, 2017. "The Allocation of Carbon Intensity Reduction Target by 2020 among Industrial Sectors in China," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    95. Xian, Yujiao & Yu, Dan & Wang, Ke & Yu, Jian & Huang, Zhimin, 2022. "Capturing the least costly measure of CO2 emission abatement: Evidence from the iron and steel industry in China," Energy Economics, Elsevier, vol. 106(C).
    96. Xiangxiang Sun & Lawrence Loh, 2019. "Sustainability Governance in China: An Analysis of Regional Ecological Efficiency," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    97. Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.
    98. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    99. Yan Li & Yigang Wei & Zhang Dong, 2020. "Will China Achieve Its Ambitious Goal?—Forecasting the CO 2 Emission Intensity of China towards 2030," Energies, MDPI, vol. 13(11), pages 1-23, June.
    100. Karplus, Valerie J. & Rausch, Sebastian & Zhang, Da, 2016. "Energy caps: Alternative climate policy instruments for China?," Energy Economics, Elsevier, vol. 56(C), pages 422-431.
    101. Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.
    102. Yu, Anyu & Lee, Andy & Chen, Yao, 2021. "Carbon allocation targeting with abatement capability: A firm-level study," International Journal of Production Economics, Elsevier, vol. 235(C).
    103. Wang, Wei & Huang, Jun & Wang, Haibo & Alidaee, Bahram, 2022. "Internal and external analysis of community banks' performance," International Review of Financial Analysis, Elsevier, vol. 84(C).
    104. Jinkai Li & Jingjing Ma & Wei Wei, 2020. "Analysis and Evaluation of the Regional Characteristics of Carbon Emission Efficiency for China," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
    105. Zhang, Ning & Choi, Yongrok & Wang, Wei, 2019. "Does energy research funding work? Evidence from the Natural Science Foundation of China using TEI@I method," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 369-380.
    106. Wu, Xuecheng & Zhao, Liang & Zhang, Yongxin & Zhao, Lingjie & Zheng, Chenghang & Gao, Xiang & Cen, Kefa, 2016. "Cost and potential of energy conservation and collaborative pollutant reduction in the iron and steel industry in China," Applied Energy, Elsevier, vol. 184(C), pages 171-183.
    107. Wang, Zhaohua & Song, Yanwu & Shen, Zhiyang, 2022. "Global sustainability of carbon shadow pricing: The distance between observed and optimal abatement costs," Energy Economics, Elsevier, vol. 110(C).
    108. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis," Energy Economics, Elsevier, vol. 48(C), pages 217-229.
    109. Hu, Jin-Li & Chang, Ming-Chung & Tsay, Hui-Wen, 2017. "The congestion total-factor energy efficiency of regions in Taiwan," Energy Policy, Elsevier, vol. 110(C), pages 710-718.
    110. Ma, Chunbo & Hailu, Atakelty & You, Chaoying, 2019. "A critical review of distance function based economic research on China’s marginal abatement cost of carbon dioxide emissions," Energy Economics, Elsevier, vol. 84(C).
    111. Yongrok Choi & Yanni Yu & Hyoung Seok Lee, 2018. "A Study on the Sustainable Performance of the Steel Industry in Korea Based on SBM-DEA," Sustainability, MDPI, vol. 10(1), pages 1-15, January.
    112. Ying Li & Yung-ho Chiu & Liang Chun Lu, 2019. "New Energy Development and Pollution Emissions in China," IJERPH, MDPI, vol. 16(10), pages 1-24, May.
    113. Nan Zhang & Yan Zhuang, 2023. "Political Hierarchy of Opening-Up Policy and China’s Carbon Reduction: Empirical Research Based on Spatial Regression Discontinuity," Sustainability, MDPI, vol. 15(7), pages 1-24, March.
    114. Kangjuan Lv & Anyu Yu & Yiwen Bian, 2017. "Regional energy efficiency and its determinants in China during 2001–2010: a slacks-based measure and spatial econometric analysis," Journal of Productivity Analysis, Springer, vol. 47(1), pages 65-81, February.
    115. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "DEA radial measurement for environmental assessment: A comparative study between Japanese chemical and pharmaceutical firms," Applied Energy, Elsevier, vol. 115(C), pages 502-513.
    116. Qunli Wu & Huaxing Lin, 2019. "Estimating Regional Shadow Prices of CO 2 in China: A Directional Environmental Production Frontier Approach," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    117. Wei, Chu & Löschel, Andreas & Liu, Bing, 2015. "Energy-saving and emission-abatement potential of Chinese coal-fired power enterprise: A non-parametric analysis," Energy Economics, Elsevier, vol. 49(C), pages 33-43.
    118. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    119. Duan, Na & Guo, Jun-Peng & Xie, Bai-Chen, 2016. "Is there a difference between the energy and CO2 emission performance for China’s thermal power industry? A bootstrapped directional distance function approach," Applied Energy, Elsevier, vol. 162(C), pages 1552-1563.
    120. Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Sahoo, Biresh K. & Mahanty, Biswajit, 2017. "Rationality of energy efficiency improvement targets under the PAT scheme in India – A case of thermal power plants," Energy Economics, Elsevier, vol. 66(C), pages 279-289.
    121. Aparicio, Juan & Ortiz, Lidia & Pastor, Jesus T., 2017. "Measuring and decomposing profit inefficiency through the Slacks-Based Measure," European Journal of Operational Research, Elsevier, vol. 260(2), pages 650-654.
    122. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Returns to damage under undesirable congestion and damages to return under desirable congestion measured by DEA environmental assessment with multiplier restriction: Economic and energy planning for s," Energy Economics, Elsevier, vol. 56(C), pages 288-309.
    123. Zhen Shi & Fengping Wu & Huinan Huang & Xinrui Sun & Lina Zhang, 2019. "Comparing Economics, Environmental Pollution and Health Efficiency in China," IJERPH, MDPI, vol. 16(23), pages 1-30, December.
    124. Tianyi Zeng & Hong Jin & Zhifei Geng & Zihang Kang & Zichen Zhang, 2022. "The Effect of Urban Shrinkage on Carbon Dioxide Emissions Efficiency in Northeast China," IJERPH, MDPI, vol. 19(9), pages 1-18, May.
    125. Zhang, Yue-Jun & Liu, Jing-Yue & Su, Bin, 2020. "Carbon congestion effects in China's industry: Evidence from provincial and sectoral levels," Energy Economics, Elsevier, vol. 86(C).
    126. Ferraz, Diogo & Moralles, Herick Fernando & Costa, Naijela Silveira da & Nascimento, Daisy do, 2022. "Economic complexity and human development: comparing standard and slack-based data envelopment analysis models," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    127. Zhencheng Xing & Jigan Wang & Jie Zhang, 2017. "CO 2 Emission Performance, Mitigation Potential, and Marginal Abatement Cost of Industries Covered in China’s Nationwide Emission Trading Scheme: A Meta-Frontier Analysis," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    128. Chen, Lifeng & Wang, Kaifeng, 2022. "The spatial spillover effect of low-carbon city pilot scheme on green efficiency in China's cities: Evidence from a quasi-natural experiment," Energy Economics, Elsevier, vol. 110(C).
    129. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    130. Abbas Ali Chandio & Yuansheng Jiang & Abdul Rauf & Amir Ali Mirani & Rashid Usman Shar & Fayyaz Ahmad & Khurram Shehzad, 2019. "Does Energy-Growth and Environment Quality Matter for Agriculture Sector in Pakistan or not? An Application of Cointegration Approach," Energies, MDPI, vol. 12(10), pages 1-17, May.
    131. Li-Ming Xue & Zhi-Xue Zheng & Shuo Meng & Mingjun Li & Huaqing Li & Ji-Ming Chen, 2022. "Carbon emission efficiency and spatio-temporal dynamic evolution of the cities in Beijing-Tianjin-Hebei Region, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 7640-7664, June.
    132. Wen-Ling Hsiao & Jin-Li Hu & Chan Hsiao & Ming-Chung Chang, 2018. "Energy Efficiency of the Baltic Sea Countries: An Application of Stochastic Frontier Analysis," Energies, MDPI, vol. 12(1), pages 1-11, December.
    133. Halkos, George & Petrou, Kleoniki Natalia, 2019. "Treating undesirable outputs in DEA: A critical review," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 97-104.
    134. Lin, Boqiang & Xu, Mengmeng, 2018. "Regional differences on CO2 emission efficiency in metallurgical industry of China," Energy Policy, Elsevier, vol. 120(C), pages 302-311.
    135. Yongrok Choi & Yunning Ma & Yu Zhao & Hyoungsuk Lee, 2023. "Inequality in Fossil Fuel Power Plants in China: A Perspective of Efficiency and Abatement Cost," Sustainability, MDPI, vol. 15(5), pages 1-15, March.
    136. Ding, Tao & Li, Jiangyuan & Shi, Xing & Li, Xuhui & Chen, Ya, 2023. "Is artificial intelligence associated with carbon emissions reduction? Case of China," Resources Policy, Elsevier, vol. 85(PB).
    137. Lucio Cecchini & Francesco Romagnoli & Massimo Chiorri & Biancamaria Torquati, 2023. "Eco-Efficiency and Its Determinants: The Case of the Italian Beef Cattle Sector," Agriculture, MDPI, vol. 13(5), pages 1-18, May.
    138. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
    139. Jianxin Wu & Chunbo Ma, 2019. "The Convergence of China’s Marginal Abatement Cost of CO2: An Emission-Weighted Continuous State Space Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(4), pages 1099-1119, April.
    140. Adetutu, Morakinyo O., 2014. "Energy efficiency and capital-energy substitutability: Evidence from four OPEC countries," Applied Energy, Elsevier, vol. 119(C), pages 363-370.
    141. Fernández, David & Pozo, Carlos & Folgado, Rubén & Jiménez, Laureano & Guillén-Gosálbez, Gonzalo, 2018. "Productivity and energy efficiency assessment of existing industrial gases facilities via data envelopment analysis and the Malmquist index," Applied Energy, Elsevier, vol. 212(C), pages 1563-1577.
    142. Lin, Boqiang & Sai, Rockson, 2022. "Sustainable transitioning in Africa: A historical evaluation of energy productivity changes and determinants," Energy, Elsevier, vol. 250(C).
    143. Yue-Jun Zhang & Yan-Lin Jin & Bo Shen, 2020. "Measuring the Energy Saving and CO2 Emissions Reduction Potential Under China’s Belt and Road Initiative," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1095-1116, April.
    144. Xian, Yujiao & Hu, Zhihui & Wang, Ke, 2023. "The least-cost abatement measure of carbon emissions for China's glass manufacturing industry based on the marginal abatement costs," Energy, Elsevier, vol. 284(C).
    145. Wang, Jieyu & Wang, Shaojian & Li, Shijie & Feng, Kuishuang, 2019. "Coupling analysis of urbanization and energy-environment efficiency: Evidence from Guangdong province," Applied Energy, Elsevier, vol. 254(C).
    146. Chen, Ya & Pan, Yongbin & Wang, Mengyuan & Ding, Tao & Zhou, Zhixiang & Wang, Ke, 2023. "How do industrial sectors contribute to carbon peaking and carbon neutrality goals? A heterogeneous energy efficiency analysis for Beijing," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 67-80.
    147. Li, Feng & Zhang, Danlu & Zhang, Jinyu & Kou, Gang, 2022. "Measuring the energy production and utilization efficiency of Chinese thermal power industry with the fixed-sum carbon emission constraint," International Journal of Production Economics, Elsevier, vol. 252(C).
    148. Zhaohua Wang & Yi Li & Ke Wang & Zhimin Huang, 2017. "Environment-adjusted operational performance evaluation of solar photovoltaic power plants: A three stage efficiency analysis," CEEP-BIT Working Papers 104, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    149. Lin, Boqiang & Moubarak, Mohamed, 2014. "Mitigation potential of carbon dioxide emissions in the Chinese textile industry," Applied Energy, Elsevier, vol. 113(C), pages 781-787.
    150. Zhu, Lin & Wang, Yong & Shang, Peipei & Qi, Lin & Yang, Guangchun & Wang, Ying, 2019. "Improvement path, the improvement potential and the dynamic evolution of regional energy efficiency in China: Based on an improved nonradial multidirectional efficiency analysis," Energy Policy, Elsevier, vol. 133(C).
    151. Haiying Liu & Ying Zhong & Chunhong Zhang, 2021. "Energy Costs of Reducing Industrial Sulfur Dioxide Emissions in China," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
    152. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    153. Yiwen Bian & Kangjuan Lv & Anyu Yu, 2017. "China’s regional energy and carbon dioxide emissions efficiency evaluation with the presence of recovery energy: an interval slacks-based measure approach," Annals of Operations Research, Springer, vol. 255(1), pages 301-321, August.
    154. Xiangyu Teng & Liang Chun Lu & Yung-ho Chiu, 2018. "Considering Emission Treatment for Energy-Efficiency Improvement and Air Pollution Reduction in China’s Industrial Sector," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
    155. Liu, Liwei & Zong, Haijing & Zhao, Erdong & Chen, Chuxiang & Wang, Jianzhou, 2014. "Can China realize its carbon emission reduction goal in 2020: From the perspective of thermal power development," Applied Energy, Elsevier, vol. 124(C), pages 199-212.
    156. Wang, Keying & Wu, Meng & Sun, Yongping & Shi, Xunpeng & Sun, Ao & Zhang, Ping, 2019. "Resource abundance, industrial structure, and regional carbon emissions efficiency in China," Resources Policy, Elsevier, vol. 60(C), pages 203-214.
    157. Ning Zhang & Weijie Zhang, 2020. "Can sustainable operations achieve economic benefit and energy saving for manufacturing industries in China?," Annals of Operations Research, Springer, vol. 290(1), pages 145-168, July.
    158. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    159. Teng, Xiangyu & Zhuang, Weiwei & Liu, Fan-peng & Chang, Tzu-han & Chiu, Yung-ho, 2023. "China's path of carbon neutralization to develop green energy and improve energy efficiency," Renewable Energy, Elsevier, vol. 206(C), pages 397-408.
    160. Wu, Yinyin & Yu, Jie & Song, Malin & Chen, Jiandong & Hou, Wenxuan, 2021. "Shadow prices of industrial air pollutant emissions in China," Economic Modelling, Elsevier, vol. 94(C), pages 726-736.
    161. Xiangyu Teng & Danting Lu & Yung-ho Chiu, 2019. "Emission Reduction and Energy Performance Improvement with Different Regional Treatment Intensity in China," Energies, MDPI, vol. 12(2), pages 1-18, January.
    162. Lin, Boqiang & Du, Kerui, 2013. "Technology gap and China's regional energy efficiency: A parametric metafrontier approach," Energy Economics, Elsevier, vol. 40(C), pages 529-536.
    163. Zhang, Chi & Yan, Jinyue, 2015. "CDM’s influence on technology transfers: A study of the implemented clean development mechanism projects in China," Applied Energy, Elsevier, vol. 158(C), pages 355-365.
    164. Xiangyu Teng & Fan‐peng Liu & Yung‐ho Chiu, 2020. "The impact of coal and non‐coal consumption on China's energy performance improvement," Natural Resources Forum, Blackwell Publishing, vol. 44(4), pages 334-352, November.
    165. Karali, Nihan & Xu, Tengfang & Sathaye, Jayant, 2014. "Reducing energy consumption and CO2 emissions by energy efficiency measures and international trading: A bottom-up modeling for the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 120(C), pages 133-146.
    166. Satoshi Honma, 2015. "Does international trade improve environmental efficiency? An application of a super slacks-based measure of efficiency," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-12, December.
    167. Li, Jiaxin & Peng, Jiachao & Shuai, Chuanmin & Wang, Zihan & Huang, Fubin & Khayyam, Muhammad, 2022. "Does the solar PV program enhance the social empowerment of China's rural poor?," Energy, Elsevier, vol. 253(C).
    168. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.
    169. Tianbo Tang & Jianxin You & Hui Sun & Hao Zhang, 2019. "Transportation Efficiency Evaluation Considering the Environmental Impact for China’s Freight Sector: A Parallel Data Envelopment Analysis," Sustainability, MDPI, vol. 11(18), pages 1-24, September.
    170. Kuhn, Lena & Balezentis, Tomas & Hou, Lingling & Wang, Dan, 2020. "Technical and environmental efficiency of livestock farms in China: A slacks-based DEA approach," China Economic Review, Elsevier, vol. 62(C).
    171. Ke Wang & Linan Che & Chunbo Ma & Yi-Ming Wei, 2017. "The Shadow Price of CO2 Emissions in China's Iron and Steel Industry," CEEP-BIT Working Papers 105, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    172. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    173. Zeng, Shihong & Jiang, Xue & Su, Bin & Nan, Xin, 2018. "China's SO2 shadow prices and environmental technical efficiency at the province level," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 86-102.
    174. Li, Jianglong & Lin, Boqiang, 2017. "Ecological total-factor energy efficiency of China's heavy and light industries: Which performs better?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 83-94.
    175. Wang, Nannan & Chen, Ji & Yao, Shengnan & Chang, Yen-Chiang, 2018. "A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2606-2612.
    176. Kejia Yang & Yalin Lei, 2017. "The carbon dioxide marginal abatement cost calculation of Chinese provinces based on stochastic frontier analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(1), pages 505-521, January.
    177. Xiao, Min & Liu, Helei & Idem, Raphael & Tontiwachwuthikul, Paitoon & Liang, Zhiwu, 2016. "A study of structure–activity relationships of commercial tertiary amines for post-combustion CO2 capture," Applied Energy, Elsevier, vol. 184(C), pages 219-229.
    178. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    179. Mushtaq Taleb & Ruzelan Khalid & Ali Emrouznejad & Razamin Ramli, 2023. "Environmental efficiency under weak disposability: an improved super efficiency data envelopment analysis model with application for assessment of port operations considering NetZero," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6627-6656, July.
    180. Teng, Xiangyu & Liu, Fan-peng & Chiu, Yung-ho, 2021. "The change in energy and carbon emissions efficiency after afforestation in China by applying a modified dynamic SBM model," Energy, Elsevier, vol. 216(C).
    181. Fang-Rong Ren & Ze Tian & Yu-Ting Shen & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Energy, CO 2 , and AQI Efficiency and Improvement of the Yangtze River Economic Belt," Energies, MDPI, vol. 12(4), pages 1-17, February.
    182. Zhang, Ning & Huang, Xuhui & Liu, Yunxiao, 2021. "The cost of low-carbon transition for China's coal-fired power plants: A quantile frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    183. Boccali, Filippo & Mariani, Marcello M. & Visani, Franco & Mora-Cruz, Alexandra, 2022. "Innovative value-based price assessment in data-rich environments: Leveraging online review analytics through Data Envelopment Analysis to empower managers and entrepreneurs," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    184. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
    185. Zuo, Dajie & Liang, Qichen & Zhan, Shuguang & Huang, Wencheng & Yang, Shenglan & Wang, Mengyun, 2023. "Using energy consumption constraints to control the freight transportation structure in China (2021–2030)," Energy, Elsevier, vol. 262(PB).
    186. Atems, Bebonchu & Mette, Jehu & Lin, Guoyu & Madraki, Golshan, 2023. "Estimating and forecasting the impact of nonrenewable energy prices on US renewable energy consumption," Energy Policy, Elsevier, vol. 173(C).
    187. Cong, Ren & Lo, Alex Y. & Yu, Wei, 2021. "The distribution and regional determinants of nationally financed emissions-reduction projects in China," Energy Policy, Elsevier, vol. 152(C).
    188. Ke Wang & Yi-Ming Wei, 2014. "China's regional industrial energy efficiency and carbon emissions abatement costs," CEEP-BIT Working Papers 64, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    189. Wang, Shaojian & Wang, Jieyu & Fang, Chuanglin & Feng, Kuishuang, 2019. "Inequalities in carbon intensity in China: A multi-scalar and multi-mechanism analysis," Applied Energy, Elsevier, vol. 254(C).
    190. Boban Djordjević & Evelin Krmac, 2019. "Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach," Energies, MDPI, vol. 12(15), pages 1-27, July.
    191. Minzhe Du & Bing Wang & Yanrui Wu, 2014. "Sources of China’s Economic Growth: An Empirical Analysis Based on the BML Index with Green Growth Accounting," Sustainability, MDPI, vol. 6(9), pages 1-22, September.
    192. Nelson Amowine & Zhiqiang Ma & Mingxing Li & Zhixiang Zhou & Benjamin Azembila Asunka & James Amowine, 2019. "Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach," Energies, MDPI, vol. 12(20), pages 1-17, October.
    193. Zhao, Ting & Yang, Zhenshan, 2017. "Towards green growth and management: Relative efficiency and gaps of Chinese cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 481-494.
    194. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    195. Jiekun Song & Zhicheng Liu & Rui Chen & Xueli Leng, 2023. "Calculation and Allocation of Atmospheric Environment Governance Cost in the Yangtze River Economic Belt of China," IJERPH, MDPI, vol. 20(5), pages 1-21, February.
    196. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    197. He, Xiaoping, 2015. "Regional differences in China's CO2 abatement cost," Energy Policy, Elsevier, vol. 80(C), pages 145-152.
    198. Wei Wang & Hualin Xie & Tong Jiang & Daobei Zhang & Xue Xie, 2016. "Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index," Sustainability, MDPI, vol. 8(4), pages 1-19, April.
    199. Sueyoshi, Toshiyuki & Goto, Mika, 2018. "Resource utilization for sustainability enhancement in Japanese industries," Applied Energy, Elsevier, vol. 228(C), pages 2308-2320.
    200. Song, Ma-Lin & Zhang, Lin-Ling & Liu, Wei & Fisher, Ron, 2013. "Bootstrap-DEA analysis of BRICS’ energy efficiency based on small sample data," Applied Energy, Elsevier, vol. 112(C), pages 1049-1055.
    201. Ning Zhang & Fanbin Kong & Chih-Chun Kung, 2015. "On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 389-404, October.
    202. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    203. Du, Juan & Xu, Yanhong & Wang, Yi, 2023. "How to improve sustainability for industrial sectors: Optimizing production scales based on performance-oriented resource reallocation," Energy Economics, Elsevier, vol. 119(C).
    204. Limin Du & Aoife Hanley & Chu Wei, 2015. "Marginal Abatement Costs of Carbon Dioxide Emissions in China: A Parametric Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(2), pages 191-216, June.
    205. Jie Zhang & Zhencheng Xing & Jigan Wang, 2016. "Analysis of CO 2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China," Sustainability, MDPI, vol. 8(7), pages 1-15, July.
    206. Chiang-Ping Chen & Ming-Chung Chang & Wei-Che Tsai, 2021. "Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: Evidence from ASEAN+6," SAGE Open, , vol. 11(3), pages 21582440211, September.
    207. Di Peng & Haibin Liu, 2023. "Marginal Carbon Dioxide Emission Reduction Cost and Influencing Factors in Chinese Industry Based on Bayes Bootstrap," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    208. Tang, Kai & Yang, Lin & Zhang, Jianwu, 2016. "Estimating the regional total factor efficiency and pollutants’ marginal abatement costs in China: A parametric approach," Applied Energy, Elsevier, vol. 184(C), pages 230-240.
    209. Bowen Xiao & Dongxiao Niu & Han Wu & Haichao Wang, 2017. "Marginal Abatement Cost of CO 2 in China Based on Directional Distance Function: An Industry Perspective," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    210. Quinn, Barry & Gallagher, Ronan & Kuosmanen, Timo, 2021. "Lurking in the Shadows: The Impact of Emissions Target Setting on Carbon Pricing and Environmental Efficiency," QBS Working Paper Series 2021/05, Queen's University Belfast, Queen's Business School.
    211. Wen, Xiaojie & Yao, Shunbo & Sauer, Johannes, 2022. "Shadow prices and abatement cost of soil erosion in Shaanxi Province, China: Convex expectile regression approach," Ecological Economics, Elsevier, vol. 201(C).
    212. Xie, Hualin & Wang, Wei & Yang, Zihui & Choi, Yongrok, 2016. "Measuring the sustainable performance of industrial land utilization in major industrial zones of China," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 207-219.
    213. Zhou, P. & Zhang, L. & Zhou, D.Q. & Xia, W.J., 2013. "Modeling economic performance of interprovincial CO2 emission reduction quota trading in China," Applied Energy, Elsevier, vol. 112(C), pages 1518-1528.
    214. Halkos, George & Petrou, Kleoniki Natalia, 2018. "A critical review of the main methods to treat undesirable outputs in DEA," MPRA Paper 90374, University Library of Munich, Germany.
    215. Shuaiyu Yao & Mengmeng Chen & Dmitri Muravev & Wendi Ouyang, 2021. "Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model," IJERPH, MDPI, vol. 18(11), pages 1-16, June.
    216. Yongrok Choi & Dong-hyun Oh & Ning Zhang, 2015. "Environmentally sensitive productivity growth and its decompositions in China: a metafrontier Malmquist–Luenberger productivity index approach," Empirical Economics, Springer, vol. 49(3), pages 1017-1043, November.
    217. Qingwei Shi & Hong Ren & Weiguang Cai & Jingxin Gao, 2020. "How to Set the Proper CO 2 Reduction Targets for the Provincial Building Sector of China?," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    218. Yongrok Choi & Fan Yang & Hyoungsuk Lee, 2020. "On the Unbalanced Atmospheric Environmental Performance of Major Cities in China," Sustainability, MDPI, vol. 12(13), pages 1-14, July.
    219. Chen, Weidong & Geng, Wenxin, 2017. "Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input," Energy, Elsevier, vol. 120(C), pages 283-292.
    220. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    221. Wu, Haitao & Hao, Yu & Ren, Siyu & Yang, Xiaodong & Xie, Guo, 2021. "Does internet development improve green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 153(C).
    222. Zhang, Ning & Huang, Xuhui & Qi, Chao, 2022. "The effect of environmental regulation on the marginal abatement cost of industrial firms: Evidence from the 11th Five-Year Plan in China," Energy Economics, Elsevier, vol. 112(C).
    223. Wang, G.Y. & Li, Y.P. & Liu, J. & Huang, G.H. & Chen, L.R. & Yang, Y.J. & Gao, P.P., 2022. "A two-phase factorial input-output model for analyzing CO2-emission reduction pathway and strategy from multiple perspectives – A case study of Fujian province," Energy, Elsevier, vol. 248(C).
    224. Nakaishi, Tomoaki, 2021. "Developing effective CO2 and SO2 mitigation strategy based on marginal abatement costs of coal-fired power plants in China," Applied Energy, Elsevier, vol. 294(C).
    225. Cabrera-Jiménez, Richard & Mateo-Sanz, Josep M. & Gavaldà, Jordi & Jiménez, Laureano & Pozo, Carlos, 2022. "Comparing biofuels through the lens of sustainability: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 307(C).
    226. Xiaoliang Guan & Junbiao Zhang & Xianrong Wu & Linlin Cheng, 2018. "The Shadow Prices of Carbon Emissions in China’s Planting Industry," Sustainability, MDPI, vol. 10(3), pages 1-12, March.
    227. Begum, Rawshan Ara & Sohag, Kazi & Abdullah, Sharifah Mastura Syed & Jaafar, Mokhtar, 2015. "CO2 emissions, energy consumption, economic and population growth in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 594-601.

  115. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.

    Cited by:

    1. Diogo Cunha Ferreira & Rui Cunha Marques, 2016. "Malmquist and Hicks–Moorsteen Productivity Indexes for Clusters Performance Evaluation," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(05), pages 1015-1053, September.
    2. Li, J.S. & Xia, X.H. & Chen, G.Q. & Alsaedi, A. & Hayat, T., 2016. "Optimal embodied energy abatement strategy for Beijing economy: Based on a three-scale input-output analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1602-1610.
    3. You, Yan Q. & Jie, Tao, 2016. "A study of the operation efficiency and cost performance indices of power-supply companies in China based on a dynamic network slacks-based measure model," Omega, Elsevier, vol. 60(C), pages 85-97.
    4. Ke Wang & Bin Lu & Yi-Ming Wei, 2014. "China's regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," CEEP-BIT Working Papers 61, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    5. Zhou, Yi & Zhou, Wenji & Wei, Chu, 2023. "Environmental performance of the Chinese cement enterprise: An empirical analysis using a text-based directional vector," Energy Economics, Elsevier, vol. 125(C).
    6. Zhao, Yu & Zhong, Honglin & Kong, Fanbin & Zhang, Ning, 2023. "Can China achieve carbon neutrality without power shortage? A substitutability perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    7. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    8. Zhang, Guanglu & Lin, Boqiang, 2018. "Impact of structure on unified efficiency for Chinese service sector—A two-stage analysis," Applied Energy, Elsevier, vol. 231(C), pages 876-886.
    9. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    10. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    11. Pan Wanbin & Huang Lei & Zhao Linlin, 2017. "An Integrated DEA Model Allowing Decomposition of Eco-Efficiency: A Case Study of China," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 473-488, October.
    12. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
    13. Zhou, D.Q. & Wang, Qunwei & Su, B. & Zhou, P. & Yao, L.X., 2016. "Industrial energy conservation and emission reduction performance in China: A city-level nonparametric analysis," Applied Energy, Elsevier, vol. 166(C), pages 201-209.
    14. Gökgöz, Fazıl & Güvercin, Mustafa Taylan, 2018. "Energy security and renewable energy efficiency in EU," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 226-239.
    15. Sheng, Jichuan & Qiu, Wenge, 2023. "Inter-basin water transfer policies and water-use technical efficiency: China's South-North Water Transfer Project," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    16. Yongrok Choi & Hyoung Seok Lee, 2016. "Are Emissions Trading Policies Sustainable? A Study of the Petrochemical Industry in Korea," Sustainability, MDPI, vol. 8(11), pages 1-13, October.
    17. Qunwei Wang & Peng Zhou & Zengyao Zhao & Neng Shen, 2014. "Energy Efficiency and Energy Saving Potential in China: A Directional Meta-Frontier DEA Approach," Sustainability, MDPI, vol. 6(8), pages 1-17, August.
    18. Haoyue Wu & Jin Tang & Hanjiao Huang & Wenkuan Chen & Yue Meng, 2021. "Net Carbon Sequestration Performance of Cropland Use in China’s Principal Grain-Producing Area: An Evaluation and Spatiotemporal Divergence," Land, MDPI, vol. 10(7), pages 1-19, July.
    19. Lin, Boqiang & Zhou, Yicheng, 2021. "Does fiscal decentralization improve energy and environmental performance? New perspective on vertical fiscal imbalance," Applied Energy, Elsevier, vol. 302(C).
    20. Jian Song & Jing Wang & Zhe Chen, 2022. "How Low-Carbon Pilots Affect Chinese Urban Energy Efficiency: An Explanation from Technological Progress," IJERPH, MDPI, vol. 19(23), pages 1, November.
    21. Zhou, Guanghui & Chung, William & Zhang, Xiliang, 2013. "A study of carbon dioxide emissions performance of China's transport sector," Energy, Elsevier, vol. 50(C), pages 302-314.
    22. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    23. Peirong Chen & Ruhe Xie & Mingxuan Lu, 2020. "“Resource Conservation” or “Environmental Friendliness”: How do Urban Clusters Affect Total-Factor Ecological Performance in China?," IJERPH, MDPI, vol. 17(12), pages 1-28, June.
    24. Ramanathan, Ramakrishnan & Ramanathan, Usha & Bentley, Yongmei, 2018. "The debate on flexibility of environmental regulations, innovation capabilities and financial performance – A novel use of DEA," Omega, Elsevier, vol. 75(C), pages 131-138.
    25. Weihua Su & Yuying Wang & Dalia Streimikiene & Tomas Balezentis & Chonghui Zhang, 2020. "Carbon dioxide emission decomposition along the gradient of economic development: The case of energy sustainability in the G7 and Brazil, Russia, India, China and South Africa," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 657-669, July.
    26. Sebastian Cuadros & Yeny E. Rodríguez & Javier Contreras, 2020. "Dynamic Data Envelopment Analysis Model Involving Undesirable Outputs in the Electricity Power Generation Sector: The Case of Latin America and the Caribbean Countries," Energies, MDPI, vol. 13(24), pages 1-20, December.
    27. Song, Yao-yao & Li, Jing-jing & Wang, Jin-li & Yang, Guo-liang & Chen, Zhenling, 2022. "Eco-efficiency of Chinese transportation industry: A DEA approach with non-discretionary input," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    28. Tan, Ruipeng & Pan, Lulu & Xu, Mengmeng & He, Xinju, 2022. "Transportation infrastructure, economic agglomeration and non-linearities of green total factor productivity growth in China: Evidence from partially linear functional coefficient model," Transport Policy, Elsevier, vol. 129(C), pages 1-13.
    29. Lee, Hyoungsuk & Choi, Yongrok & Seo, Hyungjun, 2020. "Comparative analysis of the R&D investment performance of Korean local governments," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    30. Bi, Gong-Bing & Song, Wen & Zhou, P. & Liang, Liang, 2014. "Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model," Energy Policy, Elsevier, vol. 66(C), pages 537-546.
    31. Runqing Zhu & Boqiang Lin, 2022. "How Does the Carbon Tax Influence the Energy and Carbon Performance of China’s Mining Industry?," Sustainability, MDPI, vol. 14(7), pages 1-16, March.
    32. Chen, Chien-Ming, 2013. "A critique of non-parametric efficiency analysis in energy economics studies," Energy Economics, Elsevier, vol. 38(C), pages 146-152.
    33. Tan, Xiujie & Choi, Yongrok & Wang, Banban & Huang, Xiaoqi, 2020. "Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    34. Yu, Yanni & Wu, Wenjie & Zhang, Tao & Liu, Yanchu, 2016. "Environmental catching-up, eco-innovation, and technological leadership in China's pilot ecological civilization zones," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 228-236.
    35. Zhou, P. & Delmas, M.A. & Kohli, A., 2017. "Constructing meaningful environmental indices: A nonparametric frontier approach," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 21-34.
    36. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali, 2015. "A new slacks-based measure of Malmquist–Luenberger index in the presence of undesirable outputs," Omega, Elsevier, vol. 51(C), pages 29-37.
    37. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    38. Wang, Xipan & Song, Junnian & Duan, Haiyan & Wang, Xian'en, 2021. "Coupling between energy efficiency and industrial structure: An urban agglomeration case," Energy, Elsevier, vol. 234(C).
    39. Nikos Chatzistamoulou & Phoebe Koundouri, 2020. "Environmental Efficiency, Productive Performance and Spillover Effects under heterogeneous Environmental Awareness Regimes," DEOS Working Papers 2013, Athens University of Economics and Business.
    40. You, Jianmin & Zhang, Wei, 2022. "How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China's industries," Energy, Elsevier, vol. 247(C).
    41. Barros, Carlos Pestana & Chen, Zhongfei & Managi, Shunsuke & Antunes, Olinda Sequeira, 2013. "Examining the cost efficiency of Chinese hydroelectric companies using a finite mixture model," Energy Economics, Elsevier, vol. 36(C), pages 511-517.
    42. Z-John Liu & Minh-Hieu Le & Wen-Min Lu, 2022. "An Innovation Perspective to Explore the Ecology and Social Welfare Efficiencies of Countries," IJERPH, MDPI, vol. 19(9), pages 1-18, April.
    43. Gong, Maoyu & Zhang, Ning, 2023. "Drivers of China's high-quality development: The role of intangible factors," Economic Modelling, Elsevier, vol. 124(C).
    44. Peng, Hui & Lu, Yaobin & Wang, Qunwei, 2023. "How does heterogeneous industrial agglomeration affect the total factor energy efficiency of China's digital economy," Energy, Elsevier, vol. 268(C).
    45. Kapelko, Magdalena & Oude Lansink, Alfons, 2017. "Dynamic multi-directional inefficiency analysis of European dairy manufacturing firms," European Journal of Operational Research, Elsevier, vol. 257(1), pages 338-344.
    46. Magdalena Kapelko, 2018. "Measuring inefficiency for specific inputs using data envelopment analysis: evidence from construction industry in Spain and Portugal," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 43-66, March.
    47. Chuanxin Xia & Yu Zhao & Qingxia Zhao & Shuo Wang & Ning Zhang, 2022. "Exact Eco-Efficiency Measurement in the Yellow River Basin: A New Non-Parametric Approach," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    48. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
    49. Wang, Zhaohua & He, Weijun & Wang, Bo, 2017. "Performance and reduction potential of energy and CO2 emissions among the APEC's members with considering the return to scale," Energy, Elsevier, vol. 138(C), pages 552-562.
    50. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    51. Song, Malin & Zhang, Jie & Wang, Shuhong, 2015. "Review of the network environmental efficiencies of listed petroleum enterprises in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 65-71.
    52. Lin, Boqiang & Bai, Rui, 2020. "Dynamic energy performance evaluation of Chinese textile industry," Energy, Elsevier, vol. 199(C).
    53. D’Inverno, Giovanna & Carosi, Laura & Romano, Giulia & Guerrini, Andrea, 2018. "Water pollution in wastewater treatment plants: An efficiency analysis with undesirable output," European Journal of Operational Research, Elsevier, vol. 269(1), pages 24-34.
    54. Li, Ke & Lin, Boqiang, 2017. "An application of a double bootstrap to investigate the effects of technological progress on total-factor energy consumption performance in China," Energy, Elsevier, vol. 128(C), pages 575-585.
    55. Zhonghua Cheng & Wenwen Li, 2018. "Independent R and D, Technology Introduction, and Green Growth in China’s Manufacturing," Sustainability, MDPI, vol. 10(2), pages 1-14, January.
    56. Fei, Rilong & Lin, Boqiang, 2017. "The integrated efficiency of inputs–outputs and energy – CO2 emissions performance of China's agricultural sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 668-676.
    57. Lei Wang & Wei Li & Guomin Li & Guozhen Zhang, 2021. "Concept Evolution and Multi-Dimensional Measurement Comparison of Urban Energy Performance from the Perspective of System Correlation: Empirical Analysis of 142 Prefecture Level Cities in China," IJERPH, MDPI, vol. 18(24), pages 1-21, December.
    58. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    59. Fan Yang & Yongrok Choi & Hyoungsuk Lee, 2021. "Convergence or Divergence? Emission Performance in the Regional Comprehensive Economic Partnership Countries," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    60. Qu, Chenyao & Shao, Jun & Shi, Zhenkai, 2020. "Does financial agglomeration promote the increase of energy efficiency in China?," Energy Policy, Elsevier, vol. 146(C).
    61. Yanni Yu & Yongrok Choi, 2015. "Measuring Environmental Performance Under Regional Heterogeneity in China: A Metafrontier Efficiency Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 375-388, October.
    62. Yang, Zhenbing & Fan, Meiting & Shao, Shuai & Yang, Lili, 2017. "Does carbon intensity constraint policy improve industrial green production performance in China? A quasi-DID analysis," Energy Economics, Elsevier, vol. 68(C), pages 271-282.
    63. Yongrok Choi & Hyoung Seok Lee & Ahmed Mastur, 2019. "Are Sustainable Development Policies Really Feasible? Focused on the Petrochemical Industry in Korea," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
    64. Li, Jianglong & Lin, Boqiang, 2017. "Does energy and CO2 emissions performance of China benefit from regional integration?," Energy Policy, Elsevier, vol. 101(C), pages 366-378.
    65. Bei He & Xiaoyun Du & Junkang Li & Dan Chen, 2023. "A Effectiveness-and Efficiency-Based Improved Approach for Measuring Ecological Well-Being Performance in China," IJERPH, MDPI, vol. 20(3), pages 1-29, January.
    66. Decai Tang & Zhangming Shan & Junxia He & Ziqian Zhao, 2022. "How Do Environmental Regulations and Outward Foreign Direct Investment Impact the Green Total Factor Productivity in China? A Mediating Effect Test Based on Provincial Panel Data," IJERPH, MDPI, vol. 19(23), pages 1-32, November.
    67. Zhang, L.P. & Zhou, P., 2018. "A non-compensatory composite indicator approach to assessing low-carbon performance," European Journal of Operational Research, Elsevier, vol. 270(1), pages 352-361.
    68. María Molinos-Senante & Ramon Sala-Garrido, 2017. "Decomposition of Productivity Growth of Water and Sewerage Companies: An Empirical Approach for Chile," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(13), pages 4309-4321, October.
    69. Ping Wang & Bangzhu Zhu & Xueping Tao & Rui Xie, 2017. "Measuring regional energy efficiencies in China: a meta-frontier SBM-Undesirable approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 793-809, January.
    70. Yue-Jun Zhang & Ya-Bin Da, 2013. "Decomposing the changes of energy-related carbon emissions in China: Evidence from the PDA approach," CEEP-BIT Working Papers 45, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    71. Renjie Yu & Peng Yuan & Fandi Yang & Gongxiong Jiang, 2023. "Effects of Vertical Unbundling on the Operational and Environmental Efficiency of Chinese Thermal Power Firms," Energies, MDPI, vol. 16(21), pages 1-22, October.
    72. Maria Elisabete Neves & Carla Henriques & João Vilas, 2021. "Financial performance assessment of electricity companies: evidence from Portugal," Operational Research, Springer, vol. 21(4), pages 2809-2857, December.
    73. Luping Zhang & Yingying Zhu & Liwei Fan, 2021. "Temporal-Spatial Structure and Influencing Factors of Urban Energy Efficiency in China’s Agglomeration Areas," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    74. Xiaoxue Liu & Fuzhen Cao & Shuangshuang Fan, 2022. "Does Human Capital Matter for China’s Green Growth?—Examination Based on Econometric Model and Machine Learning Methods," IJERPH, MDPI, vol. 19(18), pages 1-27, September.
    75. Jiandong Chen & Chong Xu & Yinyin Wu & Zihao Li & Malin Song, 2022. "Drivers and trajectories of China’s renewable energy consumption," Annals of Operations Research, Springer, vol. 313(1), pages 441-459, June.
    76. Stergiou, Eirini & Rigas, Nikos & Kounetas, Konstantinos E., 2023. "Environmental productivity growth across European industries," Energy Economics, Elsevier, vol. 123(C).
    77. H. Leleu, 2013. "Shadow pricing of undesirable outputs in nonparametric analysis," Post-Print hal-00848044, HAL.
    78. Aizhen Zhang & Aijun Li & Yaping Gao, 2018. "Social Sustainability Assessment across Provinces in China: An Analysis of Combining Intermediate Approach with Data Envelopment Analysis (DEA) Window Analysis," Sustainability, MDPI, vol. 10(3), pages 1-24, March.
    79. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    80. Lin, Ruiyue & Liu, Qian, 2021. "Multiplier dynamic data envelopment analysis based on directional distance function: An application to mutual funds," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1043-1057.
    81. Kounetas, Kostas & Zervopoulos, Panagiotis, 2017. "Annex I and non-Annex I countries’productive performance revisited using a generalized directional distance function under a metafrontier framework: Is there any convergence-divergence pattern for tec," MPRA Paper 80904, University Library of Munich, Germany.
    82. Ke Li & Malin Song, 2016. "Green Development Performance in China: A Metafrontier Non-Radial Approach," Sustainability, MDPI, vol. 8(3), pages 1-21, March.
    83. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    84. H. Pierre Hsieh & Kuo‐Cheng Kuo & Minh‐Hieu Le & Wen‐Min Lu, 2021. "Exploring the cargo and eco‐efficiencies of international container shipping companies: A network‐based ranking approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 45-60, January.
    85. Long, Xingle & Zhao, Xicang & Cheng, Faxin, 2015. "The comparison analysis of total factor productivity and eco-efficiency in China's cement manufactures," Energy Policy, Elsevier, vol. 81(C), pages 61-66.
    86. Lin, Boqiang & Sai, Rockson, 2022. "Towards low carbon economy: Performance of electricity generation and emission reduction potential in Africa," Energy, Elsevier, vol. 251(C).
    87. Li, Yan & Wei, Yigang & Zhang, Xiaoling & Tao, Yuan, 2020. "Regional and provincial CO2 emission reduction task decomposition of China's 2030 carbon emission peak based on the efficiency, equity and synthesizing principles," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 237-256.
    88. Zhang, Yijun & Song, Yi, 2020. "Unified efficiency of coal mining enterprises in China: An analysis based on meta-frontier non-radial directional distance functions," Resources Policy, Elsevier, vol. 65(C).
    89. Lee, Hyoungsuk & Choi, Yongrok, 2018. "Greenhouse gas performance of Korean local governments based on non-radial DDF," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 13-21.
    90. Lin, Boqiang & Chen, Yu, 2020. "Transportation infrastructure and efficient energy services: A perspective of China's manufacturing industry," Energy Economics, Elsevier, vol. 89(C).
    91. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    92. Gulati, Rachita, 2022. "Global and local banking crises and risk-adjusted efficiency of Indian banks: Are the impacts really perspective-dependent?," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 23-39.
    93. Stergiou, Eirini & Rigas, Nikos & Kounetas, Konstantinos, 2021. "Environmental Productivity and Convergence of European Manufacturing Industries. Are they Under Pressure?," MPRA Paper 110780, University Library of Munich, Germany.
    94. Lin, Boqiang & Du, Kerui, 2015. "Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach," Energy Economics, Elsevier, vol. 49(C), pages 550-557.
    95. Wu, F. & Zhou, P. & Zhou, D.Q., 2020. "Modeling carbon emission performance under a new joint production technology with energy input," Energy Economics, Elsevier, vol. 92(C).
    96. Xu, Chong, 2023. "Towards balanced low-carbon development: Driver and complex network of urban-rural energy-carbon performance gap in China," Applied Energy, Elsevier, vol. 333(C).
    97. Zhang, Ning & Choi, Yongrok, 2013. "A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and Korea," Energy Policy, Elsevier, vol. 62(C), pages 324-332.
    98. Ying Li & Yung‐ho Chiu & Tai‐Yu Lin & Hongyi Cen & Yabin Liu, 2021. "Evaluation of natural disaster treatment efficiency in 27 Chinese provinces," Natural Resources Forum, Blackwell Publishing, vol. 45(3), pages 256-288, August.
    99. Sueyoshi, Toshiyuki & Goto, Mika, 2013. "DEA environmental assessment in a time horizon: Malmquist index on fuel mix, electricity and CO2 of industrial nations," Energy Economics, Elsevier, vol. 40(C), pages 370-382.
    100. Meng, F.Y. & Zhou, D.Q. & Zhou, P. & Bai, Y., 2014. "Sectoral comparison of electricity-saving potentials in China: An analysis based on provincial input–output tables," Energy, Elsevier, vol. 72(C), pages 772-782.
    101. Shuangjie Li & Wei Wang & Liming Wang & Ge Wang, 2023. "Digital Economy and 3E Efficiency Performance: Evidence from EU Countries," Sustainability, MDPI, vol. 15(7), pages 1-18, March.
    102. Ya Wu & Yin Liu & Minglong Zhang, 2023. "How Does Digital Finance Affect Energy Efficiency?—Characteristics, Mechanisms, and Spatial Effects," Sustainability, MDPI, vol. 15(9), pages 1-24, April.
    103. Ke Wang & Yujiao Xian & Chia-Yen Lee & Yi-Ming Wei & Zhimin Huang, 2017. "On selecting directions for directional distance functions in a non-parametric framework: A review," CEEP-BIT Working Papers 99, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    104. Li, Bo & Han, Yukai & Wang, Chensheng & Sun, Wei, 2022. "Did civilized city policy improve energy efficiency of resource-based cities? Prefecture-level evidence from China," Energy Policy, Elsevier, vol. 167(C).
    105. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    106. Lingling Cao & Huawei Niu, 2022. "Green Credit and Total Factor Carbon Emission Performance—Evidence from Moderation-Based Mediating Effect Test," IJERPH, MDPI, vol. 19(11), pages 1-19, June.
    107. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2016. "Environmental investment and firm performance: A network approach," Energy Economics, Elsevier, vol. 57(C), pages 243-255.
    108. Lee, Myunghun & Zhang, Ning, 2012. "Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries," Energy Economics, Elsevier, vol. 34(5), pages 1492-1497.
    109. Stergiou, Eirini, 2022. "Environmental Efficiency of European Industries across Sectors and Countries," MPRA Paper 114635, University Library of Munich, Germany.
    110. María Molinos-Senante & Manuel Mocholi-Arce & Ramón Sala-Garrido, 2016. "Efficiency Assessment of Water and Sewerage Companies: a Disaggregated Approach Accounting for Service Quality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4311-4328, September.
    111. Zhang, Ning & Kong, Fanbin & Choi, Yongrok, 2014. "Measuring sustainability performance for China: A sequential generalized directional distance function approach," Economic Modelling, Elsevier, vol. 41(C), pages 392-397.
    112. Zhang, Jie & Zhang, Ke & Zhao, Feng, 2020. "Research on the regional spatial effects of green development and environmental governance in China based on a spatial autocorrelation model," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 1-11.
    113. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.
    114. Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).
    115. Maja Mutavdžija & Matija Kovačić & Krešimir Buntak, 2022. "Assessment of Selected Factors Influencing the Purchase of Electric Vehicles—A Case Study of the Republic of Croatia," Energies, MDPI, vol. 15(16), pages 1-25, August.
    116. Gefu Liang & Dajia Yu & Lifei Ke, 2021. "An Empirical Study on Dynamic Evolution of Industrial Structure and Green Economic Growth—Based on Data from China’s Underdeveloped Areas," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    117. Xu, Le & Fan, Meiting & Yang, Lili & Shao, Shuai, 2021. "Heterogeneous green innovations and carbon emission performance: Evidence at China's city level," Energy Economics, Elsevier, vol. 99(C).
    118. Yang, Fan & Lee, Hyoungsuk, 2022. "An innovative provincial CO2 emission quota allocation scheme for Chinese low-carbon transition," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    119. Sueyoshi, Toshiyuki & Goto, Mika & Sugiyama, Manabu, 2013. "DEA window analysis for environmental assessment in a dynamic time shift: Performance assessment of U.S. coal-fired power plants," Energy Economics, Elsevier, vol. 40(C), pages 845-857.
    120. Li, Aijun & Zhang, Aizhen & Huang, Huijie & Yao, Xin, 2018. "Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions," Energy, Elsevier, vol. 152(C), pages 549-561.
    121. Zhang, Yue-Jun & Sun, Ya-Fang & Huang, Junling, 2018. "Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment," Energy Policy, Elsevier, vol. 115(C), pages 119-130.
    122. Zhuang Miao & Tomas Baležentis & Zhihua Tian & Shuai Shao & Yong Geng & Rui Wu, 2019. "Environmental Performance and Regulation Effect of China’s Atmospheric Pollutant Emissions: Evidence from “Three Regions and Ten Urban Agglomerations”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 211-242, September.
    123. Payam Rashidi & Masoud Homayounifar & Taghi Ebrahimi Salari & Modjtaba Rouhani, 2017. "Measuring Economic and Environmental Performance of Energy Resources in ISIC codes: Evidence from Iran’s Industry Sector," Modern Applied Science, Canadian Center of Science and Education, vol. 11(12), pages 109-109, December.
    124. Du, Zhili & Wang, Yao, 2022. "Does energy-saving and emission reduction policy affects carbon reduction performance? A quasi-experimental evidence in China," Applied Energy, Elsevier, vol. 324(C).
    125. F. Wu & P. Zhou & D. Zhou, 2015. "Measuring Energy Congestion in Chinese Industrial Sectors: A Slacks-Based DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 479-494, October.
    126. Emrouznejad, Ali & Yang, Guo-liang, 2016. "CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index," Energy Policy, Elsevier, vol. 96(C), pages 397-410.
    127. Jiang, Wei & Li, Xitao & Liu, Ruoxi & Song, Yijia, 2022. "Local fiscal pressure, policy distortion and energy efficiency: Micro-evidence from a quasi-natural experiment in China," Energy, Elsevier, vol. 254(PB).
    128. Magambo, Isaiah & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Environmental and Technical Efficiency in Large Gold Mines in Developing Countries," MPRA Paper 108068, University Library of Munich, Germany.
    129. Du, Limin & Mao, Jie, 2015. "Estimating the environmental efficiency and marginal CO2 abatement cost of coal-fired power plants in China," Energy Policy, Elsevier, vol. 85(C), pages 347-356.
    130. Ke Wang & Yujiao Xian & Yi-Ming Wei & Zhimin Huang, 2016. "Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function," CEEP-BIT Working Papers 91, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    131. Qian Wang & Jinbao Yang & Yung‐ho Chiu & Tai‐Yu Lin, 2020. "The impact of digital finance on financial efficiency," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(7), pages 1225-1236, October.
    132. Lee, Sang-choon & Oh, Dong-hyun & Lee, Jeong-dong, 2014. "A new approach to measuring shadow price: Reconciling engineering and economic perspectives," Energy Economics, Elsevier, vol. 46(C), pages 66-77.
    133. Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    134. Halkos, George & Tzeremes, Nickolaos, 2012. "A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from the UK regions," MPRA Paper 38147, University Library of Munich, Germany.
    135. Han, Yonghui & Zhang, Fan & Huang, Liangxiong & Peng, Keming & Wang, Xianbin, 2021. "Does industrial upgrading promote eco-efficiency? ─A panel space estimation based on Chinese evidence," Energy Policy, Elsevier, vol. 154(C).
    136. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    137. Sumin Hu & Shulin Liu & Die Li & Yuxuan Lin, 2019. "How Does Regional Innovation Capacity Affect the Green Growth Performance? Empirical Evidence from China," Sustainability, MDPI, vol. 11(18), pages 1-21, September.
    138. Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.
    139. Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.
    140. Tavana, Madjid & Izadikhah, Mohammad & Toloo, Mehdi & Roostaee, Razieh, 2021. "A new non-radial directional distance model for data envelopment analysis problems with negative and flexible measures," Omega, Elsevier, vol. 102(C).
    141. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).
    142. Na Zhang & Jinqian Deng & Fayyaz Ahmad & Muhammad Umar Draz, 2020. "Local Government Competition and Regional Green Development in China: The Mediating Role of Environmental Regulation," IJERPH, MDPI, vol. 17(10), pages 1-22, May.
    143. Zhang, Zibin & Ye, Jianliang, 2015. "Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China," Energy Economics, Elsevier, vol. 47(C), pages 87-97.
    144. Yao, Xin & Zhou, Hongchen & Zhang, Aizhen & Li, Aijun, 2015. "Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis," Energy Policy, Elsevier, vol. 84(C), pages 142-154.
    145. Pritpal Singh & Gurdeep Singh & G. P. S. Sodhi, 2022. "Data envelopment analysis based optimization for improving net ecosystem carbon and energy budget in cotton (Gossypium hirsutum L.) cultivation: methods and a case study of north-western India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2079-2119, February.
    146. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    147. Tzu-Yu Lin & Sheng-Hsiung Chiu, 2018. "Sustainable Performance of Low-Carbon Energy Infrastructure Investment on Regional Development: Evidence from China," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    148. Zhang, Ning & Choi, Yongrok & Wang, Wei, 2019. "Does energy research funding work? Evidence from the Natural Science Foundation of China using TEI@I method," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 369-380.
    149. Hwai-Shuh Shieh & Jin-Li Hu & Yong-Ze Ang, 2020. "Efficiency of Life Insurance Companies: An Empirical Study in Mainland China and Taiwan," SAGE Open, , vol. 10(1), pages 21582440209, February.
    150. Zhou, Tao & Huang, Xuhui & Zhang, Ning, 2023. "The effect of innovation pilot on carbon total factor productivity: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 125(C).
    151. Ning Zhang & Jong-Dae Kim, 2014. "Measuring sustainability by Energy Efficiency Analysis for Korean Power Companies: A Sequential Slacks-Based Efficiency Measure," Sustainability, MDPI, vol. 6(3), pages 1-13, March.
    152. Sartori, Simone & Witjes, Sjors & Campos, Lucila M.S., 2017. "Sustainability performance for Brazilian electricity power industry: An assessment integrating social, economic and environmental issues," Energy Policy, Elsevier, vol. 111(C), pages 41-51.
    153. Kejia Chu & Ning Zhang & Zhongfei Chen, 2015. "The Efficiency and Its Determinants for China’s Medical Care System: Some Policy Implications for Northeast Asia," Sustainability, MDPI, vol. 7(10), pages 1-20, October.
    154. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    155. Michas, Serafeim & Stavrakas, Vassilis & Papadelis, Sotiris & Flamos, Alexandros, 2020. "A transdisciplinary modeling framework for the participatory design of dynamic adaptive policy pathways," Energy Policy, Elsevier, vol. 139(C).
    156. Chen, Jiabin & Wen, Shaobo & Liu, Yuchen, 2022. "Research on the efficiency of the mining industry in China from the perspective of time and space," Resources Policy, Elsevier, vol. 75(C).
    157. Sheng, Jichuan & Qiu, Wenge, 2022. "Water-use technical efficiency and income: Evidence from China's South-North Water Transfer Project," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    158. Hyoung Seok Lee & Yongrok Choi, 2019. "Environmental Performance Evaluation of the Korean Manufacturing Industry Based on Sequential DEA," Sustainability, MDPI, vol. 11(3), pages 1-14, February.
    159. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis," Energy Economics, Elsevier, vol. 48(C), pages 217-229.
    160. Chen, Hao & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2017. "Costs and potentials of energy conservation in China's coal-fired power industry: A bottom-up approach considering price uncertainties," Energy Policy, Elsevier, vol. 104(C), pages 23-32.
    161. Yu, Yanni & Qian, Tao & Du, Limin, 2017. "Carbon productivity growth, technological innovation, and technology gap change of coal-fired power plants in China," Energy Policy, Elsevier, vol. 109(C), pages 479-487.
    162. Jie Wu & Beibei Xiong & Qingxian An & Jiasen Sun & Huaqing Wu, 2017. "Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs," Annals of Operations Research, Springer, vol. 255(1), pages 257-276, August.
    163. Ma, Chunbo & Hailu, Atakelty & You, Chaoying, 2019. "A critical review of distance function based economic research on China’s marginal abatement cost of carbon dioxide emissions," Energy Economics, Elsevier, vol. 84(C).
    164. Lin, Boqiang & Guan, Chunxu, 2023. "Evaluation and determinants of total unified efficiency of China's manufacturing sector under the carbon neutrality target," Energy Economics, Elsevier, vol. 119(C).
    165. Yongrok Choi & Yanni Yu & Hyoung Seok Lee, 2018. "A Study on the Sustainable Performance of the Steel Industry in Korea Based on SBM-DEA," Sustainability, MDPI, vol. 10(1), pages 1-15, January.
    166. Agyeman, Stephen Duah & Lin, Boqiang, 2022. "Nonrenewable and renewable energy substitution, and low–carbon energy transition: Evidence from North African countries," Renewable Energy, Elsevier, vol. 194(C), pages 378-395.
    167. Shao, Jun & Wang, Lianghu, 2023. "Can new-type urbanization improve the green total factor energy efficiency? Evidence from China," Energy, Elsevier, vol. 262(PB).
    168. Cheng, Zhonghua & Yu, Xuejin & Zhang, Yi, 2023. "Is the construction of new energy demonstration cities conducive to improvements in energy efficiency?," Energy, Elsevier, vol. 263(PA).
    169. Wei, Chu & Löschel, Andreas & Liu, Bing, 2015. "Energy-saving and emission-abatement potential of Chinese coal-fired power enterprise: A non-parametric analysis," Energy Economics, Elsevier, vol. 49(C), pages 33-43.
    170. Zhibo Zhao & Tian Yuan & Xunpeng Shi & Lingdi Zhao, 2020. "Heterogeneity in the relationship between carbon emission performance and urbanization: evidence from China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1363-1380, October.
    171. Chen, Yingwen & Wong, Christina W.Y. & Yang, Rui & Miao, Xin, 2021. "Optimal structure adjustment strategy, emission reduction potential and utilization efficiency of fossil energies in China," Energy, Elsevier, vol. 237(C).
    172. Lin, Boqiang & Zhu, Junpeng, 2019. "Fiscal spending and green economic growth: Evidence from China," Energy Economics, Elsevier, vol. 83(C), pages 264-271.
    173. Duan, Na & Guo, Jun-Peng & Xie, Bai-Chen, 2016. "Is there a difference between the energy and CO2 emission performance for China’s thermal power industry? A bootstrapped directional distance function approach," Applied Energy, Elsevier, vol. 162(C), pages 1552-1563.
    174. Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Sahoo, Biresh K. & Mahanty, Biswajit, 2017. "Rationality of energy efficiency improvement targets under the PAT scheme in India – A case of thermal power plants," Energy Economics, Elsevier, vol. 66(C), pages 279-289.
    175. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    176. Chen, Yu & Lin, Boqiang, 2021. "Understanding the green total factor energy efficiency gap between regional manufacturing—insight from infrastructure development," Energy, Elsevier, vol. 237(C).
    177. Li, Yongjun & Wang, Lizheng & Li, Feng, 2021. "A data-driven prediction approach for sports team performance and its application to National Basketball Association," Omega, Elsevier, vol. 98(C).
    178. Kai Zhang & Xinmiao Zhou, 2022. "Is Promoting Green Finance in Line with the Long-Term Market Mechanism? The Perspective of Chinese Commercial Banks," Mathematics, MDPI, vol. 10(9), pages 1-26, April.
    179. Jingdong Zhong, 2019. "Biased Technical Change, Factor Substitution, and Carbon Emissions Efficiency in China," Sustainability, MDPI, vol. 11(4), pages 1-17, February.
    180. Ma, Chunbo & Zhao, Xiaoli & Ma, Qian & Zhao, Yue, 2011. "China’s Electricity Market Reform and Power Plants Efficiency," Working Papers 117811, University of Western Australia, School of Agricultural and Resource Economics.
    181. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    182. Zhencheng Xing & Jigan Wang & Jie Zhang, 2017. "CO 2 Emission Performance, Mitigation Potential, and Marginal Abatement Cost of Industries Covered in China’s Nationwide Emission Trading Scheme: A Meta-Frontier Analysis," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    183. Jiandong Chen & Chong Xu & Qianjiao Xie & Malin Song, 2020. "Net primary productivity‐based factors of China's carbon intensity: A regional perspective," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1727-1748, December.
    184. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    185. Fan, L.W. & Wu, F. & Zhou, P., 2014. "Efficiency measurement of Chinese airports with flight delays by directional distance function," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 140-145.
    186. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    187. Lin, Boqiang & Chen, Yu, 2020. "Will land transport infrastructure affect the energy and carbon dioxide emissions performance of China’s manufacturing industry?," Applied Energy, Elsevier, vol. 260(C).
    188. Chong Peng & Jingjing Zhang & Zhenyu Xu, 2022. "Does Price Distortion Affect Energy Efficiency? Evidence from Dynamic Spatial Analytics of China," Energies, MDPI, vol. 15(24), pages 1-15, December.
    189. Jie Wu & Qingyuan Zhu & Pengzhen Yin & Malin Song, 2017. "Measuring energy and environmental performance for regions in China by using DEA-based Malmquist indices," Operational Research, Springer, vol. 17(3), pages 715-735, October.
    190. Yang, Zhenbing & Shao, Shuai & Fan, Meiting & Yang, Lili, 2021. "Wage distortion and green technological progress: A directed technological progress perspective," Ecological Economics, Elsevier, vol. 181(C).
    191. Xin Yao & Yuanyuan Cheng & Li Zhou & Malin Song, 2022. "Green efficiency performance analysis of the logistics industry in China: based on a kind of machine learning methods," Annals of Operations Research, Springer, vol. 308(1), pages 727-752, January.
    192. Halkos, George & Petrou, Kleoniki Natalia, 2019. "Treating undesirable outputs in DEA: A critical review," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 97-104.
    193. Abhinav Jindal & Rahul Nilakantan, 2022. "Regulatory independence and thermal power plant performance: evidence from India," Journal of Regulatory Economics, Springer, vol. 61(1), pages 32-47, February.
    194. Qunwei Wang & Ye Hang & Jin‐Li Hu & Ching‐Ren Chiu, 2018. "An alternative metafrontier framework for measuring the heterogeneity of technology," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(5), pages 427-445, August.
    195. Lin, Boqiang & Xu, Mengmeng, 2018. "Regional differences on CO2 emission efficiency in metallurgical industry of China," Energy Policy, Elsevier, vol. 120(C), pages 302-311.
    196. Ma, Ding & Fei, Rilong & Yu, Yongsheng, 2019. "How government regulation impacts on energy and CO2 emissions performance in China's mining industry," Resources Policy, Elsevier, vol. 62(C), pages 651-663.
    197. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    198. Chen, Jiandong & Xu, Chong & Huang, Shuo & Shen, Zhiyang & Song, Malin & Wang, Shiqi, 2022. "Adjusted carbon intensity in China: Trend, driver, and network," Energy, Elsevier, vol. 251(C).
    199. Minh-Hieu Le & Wen-Min Lu & Qian Long Kweh, 2023. "The moderating effects of power distance on corporate social responsibility and multinational enterprises performance," Review of Managerial Science, Springer, vol. 17(7), pages 2503-2533, October.
    200. Lin, Boqiang & Sai, Rockson, 2021. "A multi factor Malmquist CO2emission performance indices: Evidence from Sub Saharan African public thermal power plants," Energy, Elsevier, vol. 223(C).
    201. Jianglong Li & Boqiang Lin, 2016. "Green Economy Performance and Green Productivity Growth in China’s Cities: Measures and Policy Implication," Sustainability, MDPI, vol. 8(9), pages 1-21, September.
    202. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations," Energy Policy, Elsevier, vol. 108(C), pages 163-177.
    203. Junmei Qi & Yi Song & Yijun Zhang, 2023. "Environmental Protection Tax and Energy Efficiency: Evidence from Chinese City-Level Data," Energies, MDPI, vol. 16(24), pages 1-24, December.
    204. Tan, Ruipeng & Xu, Mengmeng & Qiao, Gang & Wu, Huaqing, 2023. "FDI, financial market development and nonlinearities of energy and environmental efficiency in China: Evidence from both parametric and nonparametric models," Energy Economics, Elsevier, vol. 119(C).
    205. Yongrok Choi & Hyoungsuk Lee & Jahira Debbarma, 2020. "Are Global Companies Better in Environmental Efficiency in India? Based on Metafrontier Malmquist CO 2 Performance," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    206. Jin Zhu & Dequn Zhou & Zhengning Pu & Huaping Sun, 2019. "A Study of Regional Power Generation Efficiency in China: Based on a Non-Radial Directional Distance Function Model," Sustainability, MDPI, vol. 11(3), pages 1-18, January.
    207. Yue-Jun Zhang & Yan-Lin Jin & Bo Shen, 2020. "Measuring the Energy Saving and CO2 Emissions Reduction Potential Under China’s Belt and Road Initiative," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1095-1116, April.
    208. Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
    209. Zhang, Qi & Gu, Baihe & Zhang, Haiying & Ji, Qiang, 2023. "Emission reduction mode of China's provincial transportation sector: Based on “Energy+” carbon efficiency evaluation," Energy Policy, Elsevier, vol. 177(C).
    210. Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(C).
    211. Juanjuan Tian & Xiaoqian Song & Jinsuo Zhang, 2022. "Spatial-Temporal Pattern and Driving Factors of Carbon Efficiency in China: Evidence from Panel Data of Urban Governance," Energies, MDPI, vol. 15(7), pages 1-24, March.
    212. Xu, Chong & Wang, Bingjie & Chen, Jiandong & Shen, Zhiyang & Song, Malin & An, Jiafu, 2022. "Carbon inequality in China: Novel drivers and policy driven scenario analysis," Energy Policy, Elsevier, vol. 170(C).
    213. Ferreira, D.C. & Marques, R.C. & Nunes, A.M., 2018. "Economies of scope in the health sector: The case of Portuguese hospitals," European Journal of Operational Research, Elsevier, vol. 266(2), pages 716-735.
    214. Cheng, Zhonghua & Li, Xiang & Wang, Meixiao, 2021. "Resource curse and green economic growth," Resources Policy, Elsevier, vol. 74(C).
    215. Nabavieh, Alireza & Gholamiangonabadi, Davoud & Ahangaran, Ali Asghar, 2015. "Dynamic changes in CO2 emission performance of different types of Iranian fossil-fuel power plants," Energy Economics, Elsevier, vol. 52(PA), pages 142-150.
    216. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    217. Kuang, Yunming & Lin, Boqiang, 2022. "Natural gas resource utilization, environmental policy and green economic development: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    218. Yuan Li & Nan Huang & Yang Zhao, 2022. "The Impact of Green Innovation on Enterprise Green Economic Efficiency," IJERPH, MDPI, vol. 19(24), pages 1-26, December.
    219. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 585-607, November.
    220. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    221. Shabani, Mohadeseh & Kordrostami, Sohrab & Jahani Sayyad Noveiri, Monireh, 2023. "Renewable energy performance analysis using fuzzy dynamic directional distance function model under natural and managerial disposability," Applied Energy, Elsevier, vol. 352(C).
    222. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    223. Zhu, Runqing & Lin, Boqiang, 2021. "Energy and carbon performance improvement in China's mining Industry:Evidence from the 11th and 12th five-year plan," Energy Policy, Elsevier, vol. 154(C).
    224. Na Wang & Yongrok Choi, 2019. "Comparative Analysis of the Energy and CO 2 Emissions Performance and Technology Gaps in the Agglomerated Cities of China and South Korea," Sustainability, MDPI, vol. 11(2), pages 1-25, January.
    225. Xiangyu Teng & Danting Lu & Yung-ho Chiu, 2019. "Emission Reduction and Energy Performance Improvement with Different Regional Treatment Intensity in China," Energies, MDPI, vol. 12(2), pages 1-18, January.
    226. Wang, Changjian & Miao, Zhuang & Chen, Xiaodong & Cheng, Yu, 2021. "Factors affecting changes of greenhouse gas emissions in Belt and Road countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    227. Xiaowei Song & Yongpei Hao & Xiaodong Zhu, 2015. "Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model," Sustainability, MDPI, vol. 7(7), pages 1-20, July.
    228. Qingyou Yan & Yaxian Wang & Tomas Baležentis & Yikai Sun & Dalia Streimikiene, 2018. "Energy-Related CO 2 Emission in China’s Provincial Thermal Electricity Generation: Driving Factors and Possibilities for Abatement," Energies, MDPI, vol. 11(5), pages 1-25, April.
    229. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    230. Fu, Yelin & Lai, Kin Keung & Yu, Lean, 2021. "Multi-nation comparisons of energy architecture performance: A group decision-making method with preference structure and acceptability analysis," Energy Economics, Elsevier, vol. 96(C).
    231. Chen, Yu & Lin, Boqiang, 2021. "How does infrastructure affect energy services?," Energy, Elsevier, vol. 231(C).
    232. Minyoung Yang & Jinsoo Kim, 2022. "A Critical Review of the Definition and Estimation of Carbon Efficiency," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    233. Diogo Cunha Ferreira & Alexandre Morais Nunes & Rui Cunha Marques, 2020. "Operational efficiency vs clinical safety, care appropriateness, timeliness, and access to health care," Journal of Productivity Analysis, Springer, vol. 53(3), pages 355-375, June.
    234. Shuangjie Li & Hongyu Diao & Liming Wang & Chunqi Li, 2021. "Energy Efficiency Measurement: A VO TFEE Approach and Its Application," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    235. Qin, Quande & Yu, Ying & Liu, Yuan & Zhou, Jianqing & Chen, Xiude, 2023. "Industrial agglomeration and energy efficiency: A new perspective from market integration," Energy Policy, Elsevier, vol. 183(C).
    236. Ching-Ren Chiu & Ming-Chung Chang & Jin-Li Hu, 2022. "Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries," Journal of Productivity Analysis, Springer, vol. 57(3), pages 297-311, June.
    237. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    238. Qingyou Yan & Jie Tao, 2014. "Biomass Power Generation Industry Efficiency Evaluation in China," Sustainability, MDPI, vol. 6(12), pages 1-16, December.
    239. Yongrok Choi & Hua Wen & Hyoungsuk Lee & Hang Yang, 2020. "Measuring Operational Performance of Major Chinese Airports Based on SBM-DEA," Sustainability, MDPI, vol. 12(19), pages 1-17, October.
    240. Ying Li & Yung-Ho Chiu & Liang Chun Lu, 2018. "Regional Energy, CO 2 , and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach," Energies, MDPI, vol. 11(8), pages 1-20, August.
    241. Wang, Chunhua & Cao, Xiaoyong & Mao, Jie & Qin, Ping, 2019. "The changes in coal intensity of electricity generation in Chinese coal-fired power plants," Energy Economics, Elsevier, vol. 80(C), pages 491-501.
    242. Wang, H. & Pan, Chen & Wang, Qunwei & Zhou, P., 2020. "Assessing sustainability performance of global supply chains: An input-output modeling approach," European Journal of Operational Research, Elsevier, vol. 285(1), pages 393-404.
    243. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    244. Song, Malin & Wang, Jianlin, 2018. "Environmental efficiency evaluation of thermal power generation in China based on a slack-based endogenous directional distance function model," Energy, Elsevier, vol. 161(C), pages 325-336.
    245. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
    246. Wang, Nannan & Chen, Ji & Yao, Shengnan & Chang, Yen-Chiang, 2018. "A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2606-2612.
    247. Zuoren Sun & Chao An & Huachen Sun, 2018. "Regional Differences in Energy and Environmental Performance: An Empirical Study of 283 Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-28, July.
    248. Yaqin Wang & Shengsheng Li & Yan Jiang, 2022. "Can Transportation Infrastructure Construction Improve the Urban Green Development Efficiency? Evidence from China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    249. Liu, Guangtian & Wang, Bing & Zhang, Ning, 2016. "A coin has two sides: Which one is driving China’s green TFP growth?," Economic Systems, Elsevier, vol. 40(3), pages 481-498.
    250. Annageldy Arazmuradov, 2016. "Economic prospect on carbon emissions in Commonwealth of Independent States," Economic Change and Restructuring, Springer, vol. 49(4), pages 395-427, November.
    251. Li, Ke & Lin, Boqiang, 2016. "Impact of energy conservation policies on the green productivity in China’s manufacturing sector: Evidence from a three-stage DEA model," Applied Energy, Elsevier, vol. 168(C), pages 351-363.
    252. Sun, Chuanwang & Liu, Xiaohong & Li, Aijun, 2018. "Measuring unified efficiency of Chinese fossil fuel power plants: Intermediate approach combined with group heterogeneity and window analysis," Energy Policy, Elsevier, vol. 123(C), pages 8-18.
    253. Long, Xingle & Sun, Mei & Cheng, Faxin & Zhang, Jijian, 2017. "Convergence analysis of eco-efficiency of China’s cement manufacturers through unit root test of panel data," Energy, Elsevier, vol. 134(C), pages 709-717.
    254. Yang, Fuxia & Yang, Mian, 2015. "Analysis on China's eco-innovations: Regulation context, intertemporal change and regional differences," European Journal of Operational Research, Elsevier, vol. 247(3), pages 1003-1012.
    255. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    256. Qingxian An & Haoxun Chen & Jie Wu & Liang Liang, 2015. "Measuring slacks-based efficiency for commercial banks in China by using a two-stage DEA model with undesirable output," Annals of Operations Research, Springer, vol. 235(1), pages 13-35, December.
    257. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    258. Víctor Giménez & Claudio Thieme & Diego Prior & Emili Tortosa-Ausina, 2017. "An international comparison of educational systems: a temporal analysis in presence of bad outputs," Journal of Productivity Analysis, Springer, vol. 47(1), pages 83-101, February.
    259. Huang, Hongyun & Mbanyele, William & Fan, Shuangshuang & Zhao, Xin, 2022. "Digital financial inclusion and energy-environment performance: What can learn from China," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 342-366.
    260. Lin, Boqiang & Zhu, Junpeng, 2019. "Impact of energy saving and emission reduction policy on urban sustainable development: Empirical evidence from China," Applied Energy, Elsevier, vol. 239(C), pages 12-22.
    261. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
    262. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    263. Boogen, Nina, 2017. "Estimating the potential for electricity savings in households," Energy Economics, Elsevier, vol. 63(C), pages 288-300.
    264. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    265. Jianguo Zhou & Yushuo Li & Xuejing Huo & Xiaolei Xu, 2019. "How to Allocate Carbon Emission Permits Among China’s Industrial Sectors Under the Constraint of Carbon Intensity?," Sustainability, MDPI, vol. 11(3), pages 1-21, February.
    266. Sun, Chuanwang & Li, Zhi & Ma, Tiemeng & He, Runyong, 2019. "Carbon efficiency and international specialization position: Evidence from global value chain position index of manufacture," Energy Policy, Elsevier, vol. 128(C), pages 235-242.
    267. Wu, Jie & Zhu, Qingyuan & Liang, Liang, 2016. "CO2 emissions and energy intensity reduction allocation over provincial industrial sectors in China," Applied Energy, Elsevier, vol. 166(C), pages 282-291.
    268. Kounetas, Konstantinos & Zervopoulos, Panagiotis D., 2019. "A cross-country evaluation of environmental performance: Is there a convergence-divergence pattern in technology gaps?," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1136-1148.
    269. Han Chen & Chunyu Meng & Qilin Cao, 2022. "Measurement and Influencing Factors of Low Carbon Urban Land Use Efficiency—Based on Non-Radial Directional Distance Function," Land, MDPI, vol. 11(7), pages 1-16, July.
    270. George Vlontzos & Spyros Niavis & Panos Pardalos, 2017. "Testing for Environmental Kuznets Curve in the EU Agricultural Sector through an Eco-(in)Efficiency Index," Energies, MDPI, vol. 10(12), pages 1-15, December.
    271. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    272. Du, Limin & Hanley, Aoife & Zhang, Ning, 2016. "Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis," Resource and Energy Economics, Elsevier, vol. 43(C), pages 14-32.
    273. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    274. Molinos-Senante, María & Hernández-Sancho, Francesc & Mocholí-Arce, Manuel & Sala-Garrido, Ramón, 2014. "Economic and environmental performance of wastewater treatment plants: Potential reductions in greenhouse gases emissions," Resource and Energy Economics, Elsevier, vol. 38(C), pages 125-140.
    275. Wei Wang & Hualin Xie & Tong Jiang & Daobei Zhang & Xue Xie, 2016. "Measuring the Total-Factor Carbon Emission Performance of Industrial Land Use in China Based on the Global Directional Distance Function and Non-Radial Luenberger Productivity Index," Sustainability, MDPI, vol. 8(4), pages 1-19, April.
    276. Qian Wang & Zhuoya Du & Boyu Wang & Yung‐ho Chiu & Tzu‐Han Chang, 2022. "Environmental regulation and foreign direct investment attractiveness: Evidence from China provinces," Review of Development Economics, Wiley Blackwell, vol. 26(2), pages 899-917, May.
    277. Wang, H., 2015. "A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator," Energy, Elsevier, vol. 80(C), pages 114-122.
    278. Lingyun He & Kunxian Chen, 2021. "Can China’s “Tax-for-Fee” Reform Improve Water Performance–Evidence from Hebei Province," Sustainability, MDPI, vol. 13(24), pages 1-21, December.
    279. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    280. Jie Zhang & Zhencheng Xing & Jigan Wang, 2016. "Analysis of CO 2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China," Sustainability, MDPI, vol. 8(7), pages 1-15, July.
    281. Guimei Wang & Muhammad Salman, 2023. "The impacts of heterogeneous environmental regulations on green economic efficiency from the perspective of urbanization: a dynamic threshold analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9485-9516, September.
    282. Zhong Fang & Hua Bai & Yuriy Bilan, 2019. "Evaluation Research of Green Innovation Efficiency in China’s Heavy Polluting Industries," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
    283. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
    284. Ying Xie & Minglong Zhang, 2023. "Influence of Clean Energy and Financial Structure on China’s Provincial Carbon Emission Efficiency—Empirical Analysis Based on Spatial Spillover Effects," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
    285. Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "Greenfield Investment as a Catalyst of Green Economic Growth," Energies, MDPI, vol. 16(5), pages 1-16, March.
    286. Halkos, George & Petrou, Kleoniki Natalia, 2018. "A critical review of the main methods to treat undesirable outputs in DEA," MPRA Paper 90374, University Library of Munich, Germany.
    287. Ruiyang Ma & Boqiang Lin, 2023. "Digital infrastructure construction drives green economic transformation: evidence from Chinese cities," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    288. Nie, Yongyou & Cheng, Dandan & Liu, Kui, 2020. "The effectiveness of environmental authoritarianism: Evidence from China's administrative inquiry for environmental protection," Energy Economics, Elsevier, vol. 88(C).
    289. Jiao Wang & Zhenliang Liao & Hui Sun, 2023. "Analysis of Carbon Emission Efficiency in the Yellow River Basin in China: Spatiotemporal Differences and Influencing Factors," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    290. Chen, Weidong & Geng, Wenxin, 2017. "Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input," Energy, Elsevier, vol. 120(C), pages 283-292.
    291. Ma, Ruiyang & Lin, Boqiang, 2023. "Digitalization and energy-saving and emission reduction in Chinese cities: Synergy between industrialization and digitalization," Applied Energy, Elsevier, vol. 345(C).
    292. Jorge Antunes & Abdollah Hadi-Vencheh & Ali Jamshidi & Yong Tan & Peter Wanke, 2022. "Bank efficiency estimation in China: DEA-RENNA approach," Annals of Operations Research, Springer, vol. 315(2), pages 1373-1398, August.
    293. Wang, Ailun & Hu, Shuo & Li, Jianglong, 2021. "Does economic development help achieve the goals of environmental regulation? Evidence from partially linear functional-coefficient model," Energy Economics, Elsevier, vol. 103(C).
    294. Liu, Hongxun & Li, Jianglong & Long, Houyin & Li, Zhi & Le, Canyu, 2018. "Promoting energy and environmental efficiency within a positive feedback loop: Insights from global value chain," Energy Policy, Elsevier, vol. 121(C), pages 175-184.
    295. Miao, Zhuang & Baležentis, Tomas & Shao, Shuai & Chang, Dongfeng, 2019. "Energy use, industrial soot and vehicle exhaust pollution—China's regional air pollution recognition, performance decomposition and governance," Energy Economics, Elsevier, vol. 83(C), pages 501-514.
    296. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.
    297. Justas Streimikis & Zhuang Miao & Tomas Balezentis, 2021. "Creation of climate‐smart and energy‐efficient agriculture in the European Union: Pathways based on the frontier analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 576-589, January.
    298. Wu, Ge & Baležentis, Tomas & Sun, Chuanwang & Xu, Shuhua, 2019. "Source control or end-of-pipe control: Mitigating air pollution at the regional level from the perspective of the Total Factor Productivity change decomposition," Energy Policy, Elsevier, vol. 129(C), pages 1227-1239.
    299. Yu, Shasha & Yuan, Xuanyu & Yao, Xinyan & Lei, Ming, 2022. "Carbon leakage and low-carbon performance: Heterogeneity of responsibility perspectives," Energy Policy, Elsevier, vol. 165(C).
    300. Zebin Zheng & Wenjun Xiao & Ziye Cheng, 2023. "China’s Green Total Factor Energy Efficiency Assessment Based on Coordinated Reduction in Pollution and Carbon Emission: From the 11th to the 13th Five-Year Plan," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    301. Ling, Yantao & Xia, Senmao & Cao, Mengqiu & He, Kerun & Lim, Ming K. & Sukumar, Arun & Yi, Huiyong & Qian, Xiaoduo, 2021. "Carbon emissions in China's thermal electricity and heating industry: an input-output structural decomposition analysis," LSE Research Online Documents on Economics 112930, London School of Economics and Political Science, LSE Library.

  116. O’ Mahony, Tadhg & Zhou, Peng & Sweeney, John, 2012. "The driving forces of change in energy-related CO2 emissions in Ireland: A multi-sectoral decomposition from 1990 to 2007," Energy Policy, Elsevier, vol. 44(C), pages 256-267.

    Cited by:

    1. Jie-fang Dong & Qiang Wang & Chun Deng & Xing-min Wang & Xiao-lei Zhang, 2016. "How to Move China toward a Green-Energy Economy: From a Sector Perspective," Sustainability, MDPI, vol. 8(4), pages 1-18, April.
    2. Wang, Zhenshuang & Xie, Wanchen & Zhang, Chengyi, 2023. "Towards COP26 targets: Characteristics and influencing factors of spatial correlation network structure on U.S. carbon emission," Resources Policy, Elsevier, vol. 81(C).
    3. Margarida R. Alves & Victor Moutinho, 2013. "Decomposition analysis for energy-related CO2 emissions intensity over 1996-2009 in Portuguese Industrial Sectors," CEFAGE-UE Working Papers 2013_10, University of Evora, CEFAGE-UE (Portugal).
    4. Victor Moutinho, 2015. "Is there Convergence and Causality between the Drivers of Energy-Related Carbon Dioxide Emissions among the Portuguese Tourism Industry?," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 828-840.
    5. Xu, Xianshuo & Zhao, Tao & Liu, Nan & Kang, Jidong, 2014. "Changes of energy-related GHG emissions in China: An empirical analysis from sectoral perspective," Applied Energy, Elsevier, vol. 132(C), pages 298-307.
    6. Lin, Boqiang & Moubarak, Mohamed, 2013. "Decomposition analysis: Change of carbon dioxide emissions in the Chinese textile industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 389-396.
    7. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    8. Robaina Alves, Margarita & Moutinho, Victor, 2013. "Decomposition analysis and Innovative Accounting Approach for energy-related CO2 (carbon dioxide) emissions intensity over 1996–2009 in Portugal," Energy, Elsevier, vol. 57(C), pages 775-787.
    9. Milan Scasny & Beng Wah Ang & Lukas Recka, 2019. "Decomposition Analysis of Air Pollutants During the Transition and Post-Transition Periods in the Czech Republic," Working Papers IES 2019/34, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2019.
    10. Zhang, Yue-Jun & Da, Ya-Bin, 2015. "The decomposition of energy-related carbon emission and its decoupling with economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1255-1266.
    11. Kang, Jidong & Zhao, Tao & Liu, Nan & Zhang, Xin & Xu, Xianshuo & Lin, Tao, 2014. "A multi-sectoral decomposition analysis of city-level greenhouse gas emissions: Case study of Tianjin, China," Energy, Elsevier, vol. 68(C), pages 562-571.
    12. Chen, Jiandong & Wang, Ping & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2018. "Decomposition and decoupling analysis of CO2 emissions in OECD," Applied Energy, Elsevier, vol. 231(C), pages 937-950.
    13. Linwei Ma & Chinhao Chong & Xi Zhang & Pei Liu & Weiqi Li & Zheng Li & Weidou Ni, 2018. "LMDI Decomposition of Energy-Related CO 2 Emissions Based on Energy and CO 2 Allocation Sankey Diagrams: The Method and an Application to China," Sustainability, MDPI, vol. 10(2), pages 1-37, January.
    14. Wang, Zhaojing & Jiang, Qingzhe & Dong, Kangyin & Mubarik, Muhammad Shujaat & Dong, Xiucheng, 2020. "Decomposition of the US CO2 emissions and its mitigation potential: An aggregate and sectoral analysis," Energy Policy, Elsevier, vol. 147(C).
    15. Shan Yang & Shangkai Zhu & Gao Deng & Huan Li, 2022. "Study on Influencing Factors and Spatial Effects of Carbon Emissions Based on Logarithmic Mean Divisia Index Model: A Case Study of Hunan Province," Sustainability, MDPI, vol. 14(23), pages 1-19, November.
    16. Kai Wang & Chang Gan & Yan Ou & Haolong Liu, 2019. "Low-Carbon Behaviour Performance of Scenic Spots in a World Heritage Site," Sustainability, MDPI, vol. 11(13), pages 1-23, July.
    17. Fernández González, P. & Presno, M.J. & Landajo, M., 2015. "Regional and sectoral attribution to percentage changes in the European Divisia carbonization index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1437-1452.
    18. Wang, Qunwei & Wang, Yizhong & Zhou, P. & Wei, Hongye, 2017. "Whole process decomposition of energy-related SO2 in Jiangsu Province, China," Applied Energy, Elsevier, vol. 194(C), pages 679-687.
    19. Liu, Gengyuan & Hao, Yan & Zhou, Yun & Yang, Zhifeng & Zhang, Yan & Su, Meirong, 2016. "China's low-carbon industrial transformation assessment based on Logarithmic Mean Divisia Index model," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 156-170.
    20. Zbigniew Gołaś, 2022. "Changes in Energy-Related Carbon Dioxide Emissions of the Agricultural Sector in Poland from 2000 to 2019," Energies, MDPI, vol. 15(12), pages 1-18, June.
    21. Liu, Bingquan & Shi, Junxue & Wang, Hui & Su, Xuelin & Zhou, Peng, 2019. "Driving factors of carbon emissions in China: A joint decomposition approach based on meta-frontier," Applied Energy, Elsevier, vol. 256(C).
    22. Minyoung Jo & Sangyeol Lee, 2021. "On CUSUM test for dynamic panel models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 515-542, June.
    23. Omri, Anis, 2018. "Entrepreneurship, sectoral outputs and environmental improvement: International evidence," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 46-55.
    24. Serrano, Susana & Ürge-Vorsatz, Diana & Barreneche, Camila & Palacios, Anabel & Cabeza, Luisa F., 2017. "Heating and cooling energy trends and drivers in Europe," Energy, Elsevier, vol. 119(C), pages 425-434.
    25. Mahony, Tadhg O', 2013. "Decomposition of Ireland's carbon emissions from 1990 to 2010: An extended Kaya identity," Energy Policy, Elsevier, vol. 59(C), pages 573-581.
    26. Crowley, Frank & Daly, Hannah & Doran, Justin & Ryan, Geraldine, 2020. "COVID-19, social distancing, remote work and transport choice," SRERC Working Paper Series SRERCWP2020-4, University College Cork (UCC), Spatial and Regional Economic Research Centre (SRERC).
    27. Xianrui Liao & Wei Yang & Yichen Wang & Junnian Song, 2019. "Uncovering Variations, Determinants, and Disparities of Multisector-Level Final Energy Use of Industries Across Cities," Sustainability, MDPI, vol. 11(6), pages 1-16, March.
    28. Ürge-Vorsatz, Diana & Cabeza, Luisa F. & Serrano, Susana & Barreneche, Camila & Petrichenko, Ksenia, 2015. "Heating and cooling energy trends and drivers in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 85-98.
    29. Tang, Chengcai & Zhong, Linsheng & Ng, Pin, 2017. "Factors that Influence the Tourism Industry's Carbon Emissions: a Tourism Area Life Cycle Model Perspective," Energy Policy, Elsevier, vol. 109(C), pages 704-718.
    30. Ang, B.W. & Goh, Tian, 2016. "Carbon intensity of electricity in ASEAN: Drivers, performance and outlook," Energy Policy, Elsevier, vol. 98(C), pages 170-179.
    31. Henrique Oliveira & Víctor Moutinho, 2021. "Renewable Energy, Economic Growth and Economic Development Nexus: A Bibliometric Analysis," Energies, MDPI, vol. 14(15), pages 1-28, July.
    32. Lu, Qinli & Yang, Hong & Huang, Xianjin & Chuai, Xiaowei & Wu, Changyan, 2015. "Multi-sectoral decomposition in decoupling industrial growth from carbon emissions in the developed Jiangsu Province, China," Energy, Elsevier, vol. 82(C), pages 414-425.
    33. Dong, Kangyin & Hochman, Gal & Timilsina, Govinda R., 2020. "Do drivers of CO2 emission growth alter overtime and by the stage of economic development?," Energy Policy, Elsevier, vol. 140(C).
    34. Lima, Fátima & Nunes, Manuel Lopes & Cunha, Jorge & Lucena, André F.P., 2016. "A cross-country assessment of energy-related CO2 emissions: An extended Kaya Index Decomposition Approach," Energy, Elsevier, vol. 115(P2), pages 1361-1374.
    35. Goh, Tian & Ang, B.W. & Xu, X.Y., 2018. "Quantifying drivers of CO2 emissions from electricity generation – Current practices and future extensions," Applied Energy, Elsevier, vol. 231(C), pages 1191-1204.
    36. Jaruwan Chontanawat & Paitoon Wiboonchutikula & Atinat Buddhivanich, 2020. "Decomposition Analysis of the Carbon Emissions of the Manufacturing and Industrial Sector in Thailand," Energies, MDPI, vol. 13(4), pages 1-23, February.
    37. Brian G. Fitzgerald & Travis O'Doherty & Richard Moles & Bernadette O'Regan, 2015. "Quantitative Evaluation of Settlement Sustainability Policy (QESSP); Forward Planning for 26 Irish Settlements," Sustainability, MDPI, vol. 7(2), pages 1-21, February.
    38. Al Mamun, Md. & Sohag, Kazi & Hannan Mia, Md. Abdul & Salah Uddin, Gazi & Ozturk, Ilhan, 2014. "Regional differences in the dynamic linkage between CO2 emissions, sectoral output and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1-11.
    39. Liang Chen & Zhifeng Yang & Bin Chen, 2013. "Decomposition Analysis of Energy-Related Industrial CO 2 Emissions in China," Energies, MDPI, vol. 6(5), pages 1-19, April.
    40. Li, Zhihui & Deng, Xiangzheng & Peng, Lu, 2020. "Uncovering trajectories and impact factors of CO2 emissions: A sectoral and spatially disaggregated revisit in Beijing," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    41. Gopinathan Satheedevi, Amrutha & Sharma, Abhibhav & Dhar, Murali, 2022. "How do the anthropogenic factors affect the environment in India? Evidence from the urban provinces," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    42. O' Mahony, Tadhg & Zhou, P. & Sweeney, John, 2013. "Integrated scenarios of energy-related CO2 emissions in Ireland: A multi-sectoral analysis to 2020," Ecological Economics, Elsevier, vol. 93(C), pages 385-397.
    43. Li, Wei & Sun, Wen & Li, Guomin & Jin, Baihui & Wu, Wen & Cui, Pengfei & Zhao, Guohao, 2018. "Transmission mechanism between energy prices and carbon emissions using geographically weighted regression," Energy Policy, Elsevier, vol. 115(C), pages 434-442.
    44. Ang, B.W. & Goh, Tian, 2019. "Index decomposition analysis for comparing emission scenarios: Applications and challenges," Energy Economics, Elsevier, vol. 83(C), pages 74-87.
    45. Crowley, Frank & Daly, Hannah & Doran, Justin & Ryan, Geraldine & Caulfield, Brian, 2021. "The impact of labour market disruptions and transport choice on the environment during COVID-19," Transport Policy, Elsevier, vol. 106(C), pages 185-195.
    46. Roinioti, Argiro & Koroneos, Christopher, 2017. "The decomposition of CO2 emissions from energy use in Greece before and during the economic crisis and their decoupling from economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 448-459.
    47. Moutinho, Victor & Robaina-Alves, Margarita & Mota, Jorge, 2014. "Carbon dioxide emissions intensity of Portuguese industry and energy sectors: A convergence analysis and econometric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 438-449.
    48. Jennings, Mark & Ó Gallachóir, Brian P. & Schipper, Lee, 2013. "Irish passenger transport: Data refinements, international comparisons, and decomposition analysis," Energy Policy, Elsevier, vol. 56(C), pages 151-164.

  117. Wang, H. & Zhou, P. & Zhou, D.Q., 2012. "An empirical study of direct rebound effect for passenger transport in urban China," Energy Economics, Elsevier, vol. 34(2), pages 452-460.

    Cited by:

    1. Zhu, Yongbin & Shi, Yajuan & Wang, Zheng, 2014. "How much CO2 emissions will be reduced through industrial structure change if China focuses on domestic rather than international welfare?," Energy, Elsevier, vol. 72(C), pages 168-179.
    2. Chen, Zhenni & Du, Huibin & Li, Jianglong & Southworth, Frank & Ma, Shoufeng, 2019. "Achieving low-carbon urban passenger transport in China: Insights from the heterogeneous rebound effect," Energy Economics, Elsevier, vol. 81(C), pages 1029-1041.
    3. Fei, Rilong & Wang, Haolin & Wen, Zihao & Yuan, Zhen & Yuan, Kaihua & Chunga, Joseph, 2021. "Tracking factor substitution and the rebound effect of China’s agricultural energy consumption: A new research perspective from asymmetric response," Energy, Elsevier, vol. 216(C).
    4. Kong, Li & Hu, Guangwen & Mu, Xianzhong & Li, Guohao & Zhang, Zheng, 2023. "The energy rebound effect in households: Evidence from urban and rural areas in Beijing," Applied Energy, Elsevier, vol. 343(C).
    5. Karen Turner, 2013. ""Rebound" Effects from Increased Energy Efficiency: A Time to Pause and Reflect," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    6. Hong, Li & Liang, Dong & Di, Wang, 2013. "Economic and environmental gains of China's fossil energy subsidies reform: A rebound effect case study with EIMO model," Energy Policy, Elsevier, vol. 54(C), pages 335-342.
    7. Du, Qiang & Han, Xiao & Li, Yi & Li, Zhe & Xia, Bo & Guo, Xiqian, 2021. "The energy rebound effect of residential buildings: Evidence from urban and rural areas in China," Energy Policy, Elsevier, vol. 153(C).
    8. Wen, Fenghua & Ye, Zhengke & Yang, Huaidong & Li, Ke, 2018. "Exploring the rebound effect from the perspective of household: An analysis of China's provincial level," Energy Economics, Elsevier, vol. 75(C), pages 345-356.
    9. Lin, Boqiang & Li, Jianglong, 2014. "The rebound effect for heavy industry: Empirical evidence from China," Energy Policy, Elsevier, vol. 74(C), pages 589-599.
    10. Yan, Zheming & Ouyang, Xiaoling & Du, Kerui, 2019. "Economy-wide estimates of energy rebound effect: Evidence from China's provinces," Energy Economics, Elsevier, vol. 83(C), pages 389-401.
    11. Lu, Yingying & Liu, Yu & Zhou, Meifang, 2017. "Rebound effect of improved energy efficiency for different energy types: A general equilibrium analysis for China," Energy Economics, Elsevier, vol. 62(C), pages 248-256.
    12. Lin, Boqiang & Zhu, Runqing, 2022. "How does market-oriented reform influence the rebound effect of China’s mining industry?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 34-44.
    13. Merter AKINCI, Haktan SEVİNÇ, Ömer YILMAZ, 2018. "Jevons Paradoksu: Enerji Etkinliği ve Rebound Etkisi Üzerine Ekonometrik Bir Analiz," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 1.
    14. Sun, Shanxia & Delgado, Michael S. & Khanna, Neha, 2019. "Hybrid vehicles, social signals and household driving: Implications for miles traveled and gasoline consumption," Energy Economics, Elsevier, vol. 84(C).
    15. Lu-Yi Qiu & Ling-Yun He, 2016. "Are Chinese transport policies effective? A new perspective from direct pollution rebound effect, and empirical evidence from road transport sector," Papers 1612.02653, arXiv.org.
    16. Li, Ke & Lin, Boqiang, 2015. "Heterogeneity in rebound effects: Estimated results and impact of China’s fossil-fuel subsidies," Applied Energy, Elsevier, vol. 149(C), pages 148-160.
    17. Zhang, Yue-Jun & Liu, Zhao & Qin, Chang-Xiong & Tan, Tai-De, 2017. "The direct and indirect CO2 rebound effect for private cars in China," Energy Policy, Elsevier, vol. 100(C), pages 149-161.
    18. Thomas, Brinda A. & Azevedo, Inês L., 2013. "Estimating direct and indirect rebound effects for U.S. households with input–output analysis Part 1: Theoretical framework," Ecological Economics, Elsevier, vol. 86(C), pages 199-210.
    19. Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad, 2013. "Modelling the transport system in China and evaluating the current strategies towards the sustainable transport development," Energy Policy, Elsevier, vol. 58(C), pages 347-357.
    20. Ensieh Shojaeddini, 2020. "Heterogeneity in the Rebound Effect: Evidence from Efficient Lighting Subsidies," Working Papers 2020-07, Colorado School of Mines, Division of Economics and Business.
    21. Zhang, Yue-Jun & Peng, Hua-Rong & Liu, Zhao & Tan, Weiping, 2015. "Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach," Energy Policy, Elsevier, vol. 87(C), pages 303-313.
    22. Carlena Cochi Ficano & Patrick Thompson, 2014. "Estimating Rebound Effects in Personal Automotive Transport: Gas Price and the Presence of Hybrids," The American Economist, Sage Publications, vol. 59(2), pages 167-175, November.
    23. Yuan, Zhen & Xu, Jie & Li, Bing & Yao, Tingting, 2022. "Limits of technological progress in controlling energy consumption: Evidence from the energy rebound effects across China's industrial sector," Energy, Elsevier, vol. 245(C).
    24. Yang, Lisha & Li, Zhi, 2017. "Technology advance and the carbon dioxide emission in China – Empirical research based on the rebound effect," Energy Policy, Elsevier, vol. 101(C), pages 150-161.
    25. Li, Kong & Xianzhong, Mu & Guangwen, Hu, 2021. "A decomposing analysis of productive and residential energy consumption in Beijing," Energy, Elsevier, vol. 226(C).
    26. Chai, Jian & Yang, Ying & Wang, Shouyang & Lai, Kin Keung, 2016. "Fuel efficiency and emission in China's road transport sector: Induced effect and rebound effect," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 188-197.
    27. Chiqun Hu & Xiaoyu Ma, 2023. "Regional Differences, Dynamic Evolution and Convergence of Carbon Emissions from Rural Residents’ Living Consumption: Evidence from China," Energies, MDPI, vol. 16(16), pages 1-30, August.
    28. Wu, Ya & Zhu, Qianwen & Zhong, Ling & Zhang, Tao, 2019. "Energy consumption in the transportation sectors in China and the United States: A longitudinal comparative study," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 349-360.
    29. Wang, Zhaohua & Lu, Milin, 2014. "An empirical study of direct rebound effect for road freight transport in China," Applied Energy, Elsevier, vol. 133(C), pages 274-281.
    30. Sun, Chuanwang & Ouyang, Xiaoling, 2016. "Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China," Energy Policy, Elsevier, vol. 88(C), pages 56-63.
    31. Orea, Luis & Llorca, Manuel & Filippini, Massimo, 2015. "A new approach to measuring the rebound effect associated to energy efficiency improvements: An application to the US residential energy demand," Energy Economics, Elsevier, vol. 49(C), pages 599-609.
    32. Daldoul Manel & Dakhlaoui Ahlem, 2021. "The Direct Rebound Effect and Energy Efficiency Policy: An Econometric Estimation in the case of Tunisian Transport Sector," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 235-243.
    33. Wang, Lijun & Zha, Donglan & O’Mahony, Tadhg & Zhou, Dequn, 2023. "Energy efficiency lags and welfare boons: Understanding the rebound and welfare effects through China's urban households," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    34. Galvin, Ray, 2017. "How does speed affect the rebound effect in car travel? Conceptual issues explored in case study of 900 Formula 1 Grand Prix speed trials," Energy, Elsevier, vol. 128(C), pages 28-38.
    35. Ghoddusi, Hamed & Roy, Mandira, 2017. "Supply elasticity matters for the rebound effect and its impact on policy comparisons," Energy Economics, Elsevier, vol. 67(C), pages 111-120.
    36. Zha, Donglan & Chen, Qian & Wang, Lijun, 2022. "Exploring carbon rebound effects in Chinese households’ consumption: A simulation analysis based on a multi-regional input–output framework," Applied Energy, Elsevier, vol. 313(C).
    37. Suchi Kapoor Malhotra & Howard White & Nina Ashley O. Dela Cruz & Ashrita Saran & John Eyers & Denny John & Ella Beveridge & Nina Blöndal, 2021. "Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.
    38. Wang, Jiayu & Yu, Shuao & Liu, Tiansen, 2021. "A theoretical analysis of the direct rebound effect caused by energy efficiency improvement of private consumers," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 171-181.
    39. Finn Roar Aune & Ann Christin Bøeng & Snorre Kverndokk & Lars Lindholt & Knut Einar Rosendahl, 2016. "Fuel efficiency improvements - feedback mechanisms and distributional effects in the oil market," Discussion Papers 839, Statistics Norway, Research Department.
    40. Li, Ke & Zhang, Ning & Liu, Yanchu, 2016. "The energy rebound effects across China’s industrial sectors: An output distance function approach," Applied Energy, Elsevier, vol. 184(C), pages 1165-1175.
    41. Wang, Xiaolei & Wen, Xiaohui & Xie, Chunping, 2018. "An evaluation of technical progress and energy rebound effects in China's iron & steel industry," Energy Policy, Elsevier, vol. 123(C), pages 259-265.
    42. Luo, Xiao & Dong, Liang & Dou, Yi & Liang, Hanwei & Ren, Jingzheng & Fang, Kai, 2016. "Regional disparity analysis of Chinese freight transport CO2 emissions from 1990 to 2007: Driving forces and policy challenges," Journal of Transport Geography, Elsevier, vol. 56(C), pages 1-14.
    43. Lu-Yi Qiu & Ling-Yun He, 2017. "Are Chinese Green Transport Policies Effective? A New Perspective from Direct Pollution Rebound Effect, and Empirical Evidence From the Road Transport Sector," Sustainability, MDPI, vol. 9(3), pages 1-11, March.
    44. Chen, Qian & Zha, Donglan & Salman, Muhammad, 2022. "The influence of carbon tax on CO2 rebound effect and welfare in Chinese households," Energy Policy, Elsevier, vol. 168(C).
    45. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
    46. Sylvain Weber & Mehdi Farsi, 2014. "Travel distance, fuel efficiency, and vehicle weight: An estimation of the rebound effect using individual data in Switzerland," IRENE Working Papers 14-03, IRENE Institute of Economic Research.
    47. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2013. "Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing," Energy Policy, Elsevier, vol. 57(C), pages 441-453.
    48. Song, Yan & Zhang, Ming & Shan, Cheng, 2019. "Research on the decoupling trend and mitigation potential of CO2 emissions from China's transport sector," Energy, Elsevier, vol. 183(C), pages 837-843.
    49. Solaymani, Saeed & Kardooni, Roozbeh & Yusoff, Sumiani Binti & Kari, Fatimah, 2015. "The impacts of climate change policies on the transportation sector," Energy, Elsevier, vol. 81(C), pages 719-728.
    50. Lin, Boqiang & Liu, Xia, 2013. "Reform of refined oil product pricing mechanism and energy rebound effect for passenger transportation in China," Energy Policy, Elsevier, vol. 57(C), pages 329-337.
    51. Jaume Freire-González, 2019. "Does Water Efficiency Reduce Water Consumption? The Economy-Wide Water Rebound Effect," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2191-2202, April.
    52. Karplus, V. & Kishimoto, P. & Paltsev, S., 2012. "The global energy, CO2 emissions, and economic impact of vehicle fuel economy standards," Conference papers 332263, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    53. Wang, Kunlun & Zheng, Leven J. & Zhang, Justin Zuopeng & Yao, Hongjiang, 2022. "The impact of promoting new energy vehicles on carbon intensity: Causal evidence from China," Energy Economics, Elsevier, vol. 114(C).
    54. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2016. "Who rebounds in the private transport sector? A comparative analysis between Beijing and Tokyo," Environment and Planning B, , vol. 43(3), pages 561-579, May.
    55. Luo, Xiao & Dong, Liang & Dou, Yi & Li, Yan & Liu, Kai & Ren, Jingzheng & Liang, Hanwei & Mai, Xianmin, 2017. "Factor decomposition analysis and causal mechanism investigation on urban transport CO2 emissions: Comparative study on Shanghai and Tokyo," Energy Policy, Elsevier, vol. 107(C), pages 658-668.
    56. Li, Jianglong & Li, Aijun & Xie, Xuan, 2018. "Rebound effect of transportation considering additional capital costs and input-output relationships: The role of subsistence consumption and unmet demand," Energy Economics, Elsevier, vol. 74(C), pages 441-455.
    57. Ouyang, Xiaoling & Gao, Beiying & Du, Kerui & Du, Gang, 2018. "Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration," Energy, Elsevier, vol. 145(C), pages 408-416.
    58. H. Wang & Chen Pan & P. Zhou, 2019. "Assessing the Role of Domestic Value Chains in China’s CO2 Emission Intensity: A Multi-Region Structural Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 865-890, October.
    59. Wang, Zhaohua & Han, Bai & Lu, Milin, 2016. "Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 852-861.
    60. Toroghi, Shahaboddin H. & Oliver, Matthew E., 2019. "Framework for estimation of the direct rebound effect for residential photovoltaic systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    61. Lin, Boqiang & Du, Kerui, 2015. "Measuring energy rebound effect in the Chinese economy: An economic accounting approach," Energy Economics, Elsevier, vol. 50(C), pages 96-104.
    62. Orea, Luis & Llorca, Manuel & Filippini, Massimo, 2014. "Measuring energy efficiency and rebound effects using a stochastic demand frontier approach: the US residential energy demand," Efficiency Series Papers 2014/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    63. Odeck, James & Johansen, Kjell, 2016. "Elasticities of fuel and traffic demand and the direct rebound effects: An econometric estimation in the case of Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 1-13.
    64. Matthew E. Oliver & Juan Moreno-Cruz & Ross C. Beppler, 2019. "Microeconomics of the rebound effect for residential solar photovoltaic systems," CESifo Working Paper Series 7635, CESifo.
    65. Liu, Hongxun & Du, Kerui & Li, Jianglong, 2019. "An improved approach to estimate direct rebound effect by incorporating energy efficiency: A revisit of China's industrial energy demand," Energy Economics, Elsevier, vol. 80(C), pages 720-730.

  118. Ang, B.W. & Zhou, P. & Tay, L.P., 2011. "Potential for reducing global carbon emissions from electricity production--A benchmarking analysis," Energy Policy, Elsevier, vol. 39(5), pages 2482-2489, May.

    Cited by:

    1. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    2. Wang, Yongpei & Li, Jun, 2019. "Spatial spillover effect of non-fossil fuel power generation on carbon dioxide emissions across China's provinces," Renewable Energy, Elsevier, vol. 136(C), pages 317-330.
    3. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
    4. Goh, Tian & Ang, B.W. & Su, Bin & Wang, H., 2018. "Drivers of stagnating global carbon intensity of electricity and the way forward," Energy Policy, Elsevier, vol. 113(C), pages 149-156.
    5. Ang, B.W. & Su, Bin, 2016. "Carbon emission intensity in electricity production: A global analysis," Energy Policy, Elsevier, vol. 94(C), pages 56-63.
    6. De Oliveira-De Jesus, Paulo M., 2019. "Effect of generation capacity factors on carbon emission intensity of electricity of Latin America & the Caribbean, a temporal IDA-LMDI analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 516-526.
    7. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
    8. Wang, Bangjun & Ji, Feng & Zheng, Jie & Xie, Kejia & Feng, Zhaolei, 2021. "Carbon emission reduction of coal-fired power supply chain enterprises under the revenue sharing contract: Perspective of coordination game," Energy Economics, Elsevier, vol. 102(C).
    9. Michas, Serafeim & Stavrakas, Vassilis & Papadelis, Sotiris & Flamos, Alexandros, 2020. "A transdisciplinary modeling framework for the participatory design of dynamic adaptive policy pathways," Energy Policy, Elsevier, vol. 139(C).
    10. Liu, Yang & Dong, Kangyin & Wang, Jianda & Taghizadeh-Hesary, Farhad, 2023. "Towards sustainable development goals: Does common prosperity contradict carbon reduction?," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 70-88.
    11. Lin, Boqiang & Sai, Rockson, 2021. "A multi factor Malmquist CO2emission performance indices: Evidence from Sub Saharan African public thermal power plants," Energy, Elsevier, vol. 223(C).
    12. Nabavieh, Alireza & Gholamiangonabadi, Davoud & Ahangaran, Ali Asghar, 2015. "Dynamic changes in CO2 emission performance of different types of Iranian fossil-fuel power plants," Energy Economics, Elsevier, vol. 52(PA), pages 142-150.
    13. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    14. Ang, B.W. & Goh, Tian, 2016. "Carbon intensity of electricity in ASEAN: Drivers, performance and outlook," Energy Policy, Elsevier, vol. 98(C), pages 170-179.
    15. Wang, Ning & Wen, Zongguo & Liu, Mingqi & Guo, Jie, 2016. "Constructing an energy efficiency benchmarking system for coal production," Applied Energy, Elsevier, vol. 169(C), pages 301-308.
    16. Malin Song & Kuangnan Fang & Jing Zhang & Jianbin Wu, 2019. "The Co-movement Between Chinese Oil Market and Other Main International Oil Markets: A DCC-MGARCH Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1303-1318, December.
    17. Wang, Nannan & Chen, Ji & Yao, Shengnan & Chang, Yen-Chiang, 2018. "A meta-frontier DEA approach to efficiency comparison of carbon reduction technologies on project level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2606-2612.
    18. Karmellos, M. & Kosmadakis, V. & Dimas, P. & Tsakanikas, A. & Fylaktos, N. & Taliotis, C. & Zachariadis, T., 2021. "A decomposition and decoupling analysis of carbon dioxide emissions from electricity generation: Evidence from the EU-27 and the UK," Energy, Elsevier, vol. 231(C).
    19. Goh, Tian & Ang, B.W. & Xu, X.Y., 2018. "Quantifying drivers of CO2 emissions from electricity generation – Current practices and future extensions," Applied Energy, Elsevier, vol. 231(C), pages 1191-1204.
    20. Ihtisham ul Haq & Bakhitbay Embergenov & Piratdin Allayarov, 2022. "Nexus between Sources of Electricity Production and Environmental Degradation in Context of EKC Hypothesis: A Time Series Study for Pakistan," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 436-443.
    21. Chaturvedi, Vaibhav & Clarke, Leon & Edmonds, James & Calvin, Katherine & Kyle, Page, 2014. "Capital investment requirements for greenhouse gas emissions mitigation in power generation on near term to century time scales and global to regional spatial scales," Energy Economics, Elsevier, vol. 46(C), pages 267-278.
    22. Shiping Ma & Qianqian Liu & Wenzhong Zhang, 2022. "Examining the Effects of Installed Capacity Mix and Capacity Factor on Aggregate Carbon Intensity for Electricity Generation in China," IJERPH, MDPI, vol. 19(6), pages 1-17, March.
    23. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    24. Ling, Yantao & Xia, Senmao & Cao, Mengqiu & He, Kerun & Lim, Ming K. & Sukumar, Arun & Yi, Huiyong & Qian, Xiaoduo, 2021. "Carbon emissions in China's thermal electricity and heating industry: an input-output structural decomposition analysis," LSE Research Online Documents on Economics 112930, London School of Economics and Political Science, LSE Library.

  119. Wang, S.S. & Zhou, D.Q. & Zhou, P. & Wang, Q.W., 2011. "CO2 emissions, energy consumption and economic growth in China: A panel data analysis," Energy Policy, Elsevier, vol. 39(9), pages 4870-4875, September.

    Cited by:

    1. Dissani Badoubatoba Mathieu & Sanmang Wu & Doukou Kossi Dowaraga & Goetswang Kealeboga Fredah, 2019. "Energy Consumption, CO2 Emissions and Economic Growth in Togo: A Causal Analysis," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(4), pages 117-125, December.
    2. Hao, Yu & Wang, Ling'ou & Zhu, Lingyun & Ye, Minjie, 2018. "The dynamic relationship between energy consumption, investment and economic growth in China's rural area: New evidence based on provincial panel data," Energy, Elsevier, vol. 154(C), pages 374-382.
    3. Frate, Guido Francesco & Ferrari, Lorenzo & Desideri, Umberto, 2021. "Energy storage for grid-scale applications: Technology review and economic feasibility analysis," Renewable Energy, Elsevier, vol. 163(C), pages 1754-1772.
    4. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2015. "Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution," Economic Modelling, Elsevier, vol. 44(C), pages 104-115.
    5. Mimouni, Karim & Temimi, Akram, 2018. "What drives energy efficiency? New evidence from financial crises," Energy Policy, Elsevier, vol. 122(C), pages 332-348.
    6. Danish, & Wang, Bo & Wang, Zhaohua, 2018. "Imported technology and CO2 emission in China: Collecting evidence through bound testing and VECM approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4204-4214.
    7. Mounir Ben Mbarek & Nadia Ben Ali & Rochdi Feki, 2014. "Causality relationship between CO 2 emissions, GDP and energy intensity in Tunisia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(6), pages 1253-1262, December.
    8. Mihaela Onofrei & Anca-Florentina Gavriluţă (Vatamanu) & Ionel Bostan & Bogdan Florin Filip & Claudia Laurența Popescu & Gabriela Jitaru, 2020. "Impacts of the Allocation of Governmental Resources for Improving the Environment. An Empirical Analysis on Developing European Countries," IJERPH, MDPI, vol. 17(8), pages 1-18, April.
    9. Chandran Govindaraju, V.G.R. & Tang, Chor Foon, 2013. "The dynamic links between CO2 emissions, economic growth and coal consumption in China and India," Applied Energy, Elsevier, vol. 104(C), pages 310-318.
    10. Edmond Noubissi Domguia & Henri Njangang Ndieupa, 2017. "Croissance économique et dégradation de l'environnement au Cameroun," African Development Review, African Development Bank, vol. 29(4), pages 615-629, December.
    11. Liu, Jun & Liu, Liang & Qian, Yu & Song, Shunfeng, 2022. "The effect of artificial intelligence on carbon intensity: Evidence from China's industrial sector," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    12. Sallahuddin Hassan & Ismail Aliyu Danmaraya & Muhammad Rabiu Danlami, 2018. "Energy Consumption and Manufacturing Performance in Sub-Saharan Africa: Does Income Group Matters?," International Journal of Energy Economics and Policy, Econjournals, vol. 8(1), pages 175-180.
    13. Hongze Li & Bingkang Li & Hao Lu, 2017. "Carbon Dioxide Emissions, Economic Growth, and Selected Types of Fossil Energy Consumption in China: Empirical Evidence from 1965 to 2015," Sustainability, MDPI, vol. 9(5), pages 1-14, April.
    14. Brito, Thiago Luis Felipe & Moutinho dos Santos, Edmilson & Galbieri, Rodrigo & Costa, Hirdan Katarina de Medeiros, 2017. "Qualitative Comparative Analysis of cities that introduced compressed natural gas to their urban bus fleet," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 502-508.
    15. Tomiwa Sunday Adebayo & Mary Oluwatoyin Agboola & Husam Rjoub & Ibrahim Adeshola & Ephraim Bonah Agyekum & Nallapaneni Manoj Kumar, 2021. "Linking Economic Growth, Urbanization, and Environmental Degradation in China: What Is the Role of Hydroelectricity Consumption?," IJERPH, MDPI, vol. 18(13), pages 1-14, June.
    16. Yurtkuran, Suleyman, 2021. "The effect of agriculture, renewable energy production, and globalization on CO2 emissions in Turkey: A bootstrap ARDL approach," Renewable Energy, Elsevier, vol. 171(C), pages 1236-1245.
    17. Wang, Miao & Feng, Chao, 2017. "Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors," Applied Energy, Elsevier, vol. 190(C), pages 772-787.
    18. Wang, Yuan & Li, Li & Kubota, Jumpei & Zhu, Xiaodong & Lu, Genfa, 2016. "Are fluctuations in Japan’s consumption of non-fossil energy permanent or transitory?," Applied Energy, Elsevier, vol. 169(C), pages 187-196.
    19. Hongfeng Peng & Xiaoyu Tan & Yanli Li & Liqin Hu, 2016. "Economic Growth, Foreign Direct Investment and CO 2 Emissions in China: A Panel Granger Causality Analysis," Sustainability, MDPI, vol. 8(3), pages 1-13, March.
    20. Usama Al-Mulali & Ilhan Ozturk & Hooi Lean, 2015. "The influence of economic growth, urbanization, trade openness, financial development, and renewable energy on pollution in Europe," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(1), pages 621-644, October.
    21. Luís Miguel Marques & José Alberto Fuinhas & António Cardoso Marques, 2021. "China’s Effect on World Energy-Growth Nexus: Spillovers Evidence from Financial Development and CO 2 Emissions," Economies, MDPI, vol. 9(4), pages 1-24, September.
    22. Shahbaz, Muhammad & Sinha, Avik, 2019. "Environmental Kuznets Curve for CO2 emission: A survey of empirical literature," MPRA Paper 100257, University Library of Munich, Germany, revised 2019.
    23. Samir, Saidi & Shahbaz, Muhammad & Akhtar, Pervaiz, 2018. "The Long-Run Relationship between Transport Energy Consumption and Transport Infrastructure on Economic Growth in MENA Countries," MPRA Paper 85037, University Library of Munich, Germany, revised 06 Mar 2018.
    24. Bingjie Xu & Ruoyu Zhong & Yifeng Liu, 2019. "Comparison of CO 2 emissions reduction efficiency of household fuel consumption in China," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    25. Touitou Mohammed, 2021. "Empirical Analysis of the Environmental Kuznets Curve for Economic Growth and CO2 Emissions in North African Countries," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 25(2), pages 67-77, June.
    26. Giedrė Lapinskienė & Kęstutis Peleckis & Neringa Slavinskaitė, 2017. "Energy consumption, economic growth and greenhouse gas emissions in the European Union countries," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(6), pages 1082-1097, November.
    27. Long, Ruyin & Shao, Tianxiang & Chen, Hong, 2016. "Spatial econometric analysis of China’s province-level industrial carbon productivity and its influencing factors," Applied Energy, Elsevier, vol. 166(C), pages 210-219.
    28. Arazmuradov, Annageldy, 2011. "Energy consumption and carbon dioxide environmental efficiency for former Soviet Union economies. evidence from DEA window analysis," MPRA Paper 36903, University Library of Munich, Germany, revised 24 Feb 2012.
    29. Amine Ben Amar, 2021. "Economic growth and environment in the United Kingdom: robust evidence using more than 250 years data," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 23(4), pages 667-681, October.
    30. Zhou, Yang & Liu, Yansui & Wu, Wenxiang & Li, Yurui, 2015. "Effects of rural–urban development transformation on energy consumption and CO2 emissions: A regional analysis in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 863-875.
    31. Meng, Ming & Shang, Wei & Zhao, Xiaoli & Niu, Dongxiao & Li, Wei, 2015. "Decomposition and forecasting analysis of China's energy efficiency: An application of three-dimensional decomposition and small-sample hybrid models," Energy, Elsevier, vol. 89(C), pages 283-293.
    32. Muhammad, Shahbaz & Qazi Muhammad, Adnan Hye & Aviral Kumar, Tiwari, 2012. "Economic Growth, Energy Consumption, Financial Development, International Trade and CO2 Emissions in Indonesia," MPRA Paper 43294, University Library of Munich, Germany, revised 15 Dec 2012.
    33. Rahman, Md Saifur & Junsheng, Ha & Shahari, Farihana & Aslam, Mohamed & Masud, Muhammad Mehedi & Banna, Hasanul & Liya, Ma, 2015. "Long-run relationship between sectoral productivity and energy consumption in Malaysia: An aggregated and disaggregated viewpoint," Energy, Elsevier, vol. 86(C), pages 436-445.
    34. Serap Bedir & Vildan Merve Yilmaz, 2016. "CO2 emissions and human development in OECD countries: granger causality analysis with a panel data approach," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 6(1), pages 97-110, April.
    35. Ertugrul, Hasan Murat & Çetin, Murat & Şeker, Fahri & Dogan, Eyüp, 2015. "The impact of trade openness on global carbon dioxide emissions: Evidence from the top ten emitters among developing countries," MPRA Paper 97539, University Library of Munich, Germany, revised 10 Mar 2016.
    36. Xiao-Ying Dong & Qiying Ran & Yu Hao, 2019. "On the nonlinear relationship between energy consumption and economic development in China: new evidence from panel data threshold estimations," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 1837-1857, July.
    37. Yang, Guangfei & Sun, Tao & Wang, Jianliang & Li, Xianneng, 2015. "Modeling the nexus between carbon dioxide emissions and economic growth," Energy Policy, Elsevier, vol. 86(C), pages 104-117.
    38. Umer, Shahzad & Buhari, Dogan & Avik, Sinha & Zeeshan, Fareed, 2020. "Does Export product diversification help to reduce energy demand: Exploring the contextual evidences from the newly industrialized countries," MPRA Paper 103718, University Library of Munich, Germany, revised 2020.
    39. Kefan Wang & Bangzhu Zhu & Ping Wang & Yi-Ming Wei, 2016. "Examining the links among economic growth, energy consumption, and CO2 emission with linear and nonlinear causality tests," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1147-1159, March.
    40. Seiho Kim & Jaesik Lee & Chulung Lee, 2017. "Does Driving Range of Electric Vehicles Influence Electric Vehicle Adoption?," Sustainability, MDPI, vol. 9(10), pages 1-15, October.
    41. Olimjon Saidmamatov & Nicolas Tetreault & Dilmurad Bekjanov & Elbek Khodjaniyazov & Ergash Ibadullaev & Yuldoshboy Sobirov & Lugas Raka Adrianto, 2023. "The Nexus between Agriculture, Water, Energy and Environmental Degradation in Central Asia—Empirical Evidence Using Panel Data Models," Energies, MDPI, vol. 16(7), pages 1-20, April.
    42. Ýstemi Berk & Ý. Hakan Yetkiner, 2013. "Energy Prices and Economic Growth: Theory and Evidence in the Long Run," Working Papers 1303, Izmir University of Economics.
    43. Alsaleh, Mohd & Abdul-Rahim, A.S. & Mohd-Shahwahid, H.O., 2017. "An empirical and forecasting analysis of the bioenergy market in the EU28 region: Evidence from a panel data simultaneous equation model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1123-1137.
    44. Nyiko Worship Hlongwane & Mpho Lenoke & Olebogeng David Daw, 2023. "An Analysis of Electricity Generation, Supply, and Economic Growth in Selected SADC Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 482-493, November.
    45. Xin-Cheng Meng & Yeon-Ho Seong & Min-Kyu Lee, 2021. "Research Characteristics and Development Trend of Global Low-Carbon Power—Based on Bibliometric Analysis of 1983–2021," Energies, MDPI, vol. 14(16), pages 1-20, August.
    46. Omri, Anis, 2014. "An international literature survey on energy-economic growth nexus: Evidence from country-specific studies," MPRA Paper 82452, University Library of Munich, Germany, revised 30 Jun 2014.
    47. Shahbaz, Muhammad & Farhani, Sahbi & Ozturk, Ilhan, 2013. "Coal Consumption, Industrial Production and CO2 Emissions in China and India," MPRA Paper 50618, University Library of Munich, Germany, revised 12 Oct 2013.
    48. Al-mulali, Usama, 2012. "Factors affecting CO2 emission in the Middle East: A panel data analysis," Energy, Elsevier, vol. 44(1), pages 564-569.
    49. Doğan, Buhari & Ghosh, Sudeshna & Hoang, Dung Phuong & Chu, Lan Khanh, 2022. "Are economic complexity and eco-innovation mutually exclusive to control energy demand and environmental quality in E7 and G7 countries?," Technology in Society, Elsevier, vol. 68(C).
    50. Yu Hao & Zirui Huang & Haitao Wu, 2019. "Do Carbon Emissions and Economic Growth Decouple in China? An Empirical Analysis Based on Provincial Panel Data," Energies, MDPI, vol. 12(12), pages 1-15, June.
    51. Kristjanpoller R., Werner & Sierra C., Alejandro & Scavia D., Javier, 2018. "Dynamic co-movements between energy consumption and economic growth. A panel data and wavelet perspective," Energy Economics, Elsevier, vol. 72(C), pages 640-649.
    52. Le, Thai-Ha & Chang, Youngho & Park, Donghyun, 2016. "Trade openness and environmental quality: International evidence," Energy Policy, Elsevier, vol. 92(C), pages 45-55.
    53. Mohammad Mafizur Rahman & Khosrul Alam, 2022. "CO 2 Emissions in Asia–Pacific Region: Do Energy Use, Economic Growth, Financial Development, and International Trade Have Detrimental Effects?," Sustainability, MDPI, vol. 14(9), pages 1-16, April.
    54. Rakesh Shahani & Kamya Raghuvansi, 2020. "Carbon Dioxide Emissions and Economic Growth: A Bivariate Co-integration Analysis for Two Emerging Markets of India and China," Vision, , vol. 24(1), pages 9-22, March.
    55. Oktay KIZILKAYA, 2017. "The Impact of Economic Growth and Foreign Direct Investment on CO2 Emissions: The Case of Turkey," Turkish Economic Review, KSP Journals, vol. 4(1), pages 106-118, March.
    56. Nasre Esfahani, Mohammad & Rasoulinezhad, Ehsan, 2015. "Will be there New CO2 Emitters in the Future? Evidence of Long-run Panel Co-integration for N-11 Countries," MPRA Paper 72692, University Library of Munich, Germany.
    57. Oluyomi A. Osobajo & Afolabi Otitoju & Martha Ajibola Otitoju & Adekunle Oke, 2020. "The Impact of Energy Consumption and Economic Growth on Carbon Dioxide Emissions," Sustainability, MDPI, vol. 12(19), pages 1-16, September.
    58. Muhammad, Bashir, 2019. "Energy consumption, CO2 emissions and economic growth in developed, emerging and Middle East and North Africa countries," Energy, Elsevier, vol. 179(C), pages 232-245.
    59. Loo, Becky P.Y. & Banister, David, 2016. "Decoupling transport from economic growth: Extending the debate to include environmental and social externalities," Journal of Transport Geography, Elsevier, vol. 57(C), pages 134-144.
    60. Robi Kurniawan & Shunsuke Managi, 2019. "Linking Wealth and Productivity of Natural Capital for 140 Countries Between 1990 and 2014," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 443-462, January.
    61. Abdul Rahim Ridzuan & Aliashim Albani & Abdul Rais Abdul Latiff & Mohamad Idham Md Razak & Mohd Haziq Murshidi, 2020. "The Impact of Energy Consumption based on Fossil Fuel and Hydroelectricity Generation towards Pollution in Malaysia, Indonesia and Thailand," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 215-227.
    62. He, Yiming & Fullerton, Thomas M. & Walke, Adam G., 2017. "Electricity consumption and metropolitan economic performance in Guangzhou: 1950–2013," Energy Economics, Elsevier, vol. 63(C), pages 154-160.
    63. Sudeshna Ghosh, 2019. "Environmental Pollution, Income Inequality, and Household Energy Consumption: Evidence from the United Kingdom," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-31, June.
    64. Liao, Xianchun & Dogan, Eyup & Baek, Jungho, 2016. "Does corruption matter for the environment? Panel evidence from China," Economics Discussion Papers 2016-43, Kiel Institute for the World Economy (IfW Kiel).
    65. Yanli Ji & Jie Xue & Zitian Fu, 2022. "Sustainable Development of Economic Growth, Energy-Intensive Industries and Energy Consumption: Empirical Evidence from China’s Provinces," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    66. Chen, Ping-Yu & Chen, Sheng-Tung & Hsu, Chia-Sheng & Chen, Chi-Chung, 2016. "Modeling the global relationships among economic growth, energy consumption and CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 420-431.
    67. Weijie Jiang & Jiaying Dai & Kairui Cao & Laiqun Jin, 2023. "Who Needs to Save Energy and Reduce Emissions? Perspective of Energy Misallocation and Economies of Scale," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
    68. Maria J. Herrerias & Roselyne Joyeux & Eric Girardin, 2013. "Short- and long-run causality between energy consumption and economic growth : evidence across regions in China," Post-Print hal-01499624, HAL.
    69. Ahmad, Najid & Du, Liangsheng & Lu, Jiye & Wang, Jianlin & Li, Hong-Zhou & Hashmi, Muhammad Zaffar, 2017. "Modelling the CO2 emissions and economic growth in Croatia: Is there any environmental Kuznets curve?," Energy, Elsevier, vol. 123(C), pages 164-172.
    70. Jiaxin He & Tianhui Zhuang & Xingmei Xie, 2014. "Energy Consumption, Economic Development and Environmental Improvement in China," Energy & Environment, , vol. 25(8), pages 1345-1357, December.
    71. Emrah Bese & Salih Kalayci, 2019. "Testing the Environmental Kuznets Curve Hypothesis: Evidence from Egypt, Kenya and Turkey," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 479-491.
    72. Rahman, Md. Saifur & Noman, Abu Hanifa Md. & Shahari, Farihana, 2017. "Does economic growth in Malaysia depend on disaggregate energy?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 640-647.
    73. Shixiong Cheng & Wei Liu & Kai Lu, 2018. "Economic Growth Effect and Optimal Carbon Emissions under China’s Carbon Emissions Reduction Policy: A Time Substitution DEA Approach," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    74. Gorus, Muhammed Sehid & Aslan, Murat, 2019. "Impacts of economic indicators on environmental degradation: Evidence from MENA countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 259-268.
    75. Jianu, Ionut, 2022. "Economic development and environmental degradation: A panel ARDL/PMG model for EU-27 countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(13), pages 120-131.
    76. Jafari, Mohammad & Cao, Shuang Cindy & Jung, Jongwon, 2017. "Geological CO2 sequestration in saline aquifers: Implication on potential solutions of China’s power sector," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 137-155.
    77. Tang, Lei & Wang, Xifan & Wang, Xiuli & Shao, Chengcheng & Liu, Shiyu & Tian, Shijun, 2019. "Long-term electricity consumption forecasting based on expert prediction and fuzzy Bayesian theory," Energy, Elsevier, vol. 167(C), pages 1144-1154.
    78. Haruna Chiroma & Sameem Abdul-kareem & Abdullah Khan & Nazri Mohd Nawi & Abdulsalam Ya’u Gital & Liyana Shuib & Adamu I Abubakar & Muhammad Zubair Rahman & Tutut Herawan, 2015. "Global Warming: Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption Using Neural Network and Hybrid Cuckoo Search Algorithm," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-21, August.
    79. Yashar Tarverdi, 2018. "Aspects of Governance and $$\hbox {CO}_2$$ CO 2 Emissions: A Non-linear Panel Data Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(1), pages 167-194, January.
    80. Pata, Ugur Korkut & Caglar, Abdullah Emre, 2021. "Investigating the EKC hypothesis with renewable energy consumption, human capital, globalization and trade openness for China: Evidence from augmented ARDL approach with a structural break," Energy, Elsevier, vol. 216(C).
    81. You, Jing & Huang, Yongfu, 2013. "Green-to-Grey China: Determinants and Forecasts of its Green Growth," MPRA Paper 57468, University Library of Munich, Germany, revised 16 Jul 2014.
    82. Muhammad, Shahbaz, 2012. "Multivariate granger causality between CO2 Emissions, energy intensity, financial development and economic growth: evidence from Portugal," MPRA Paper 37774, University Library of Munich, Germany, revised 31 Mar 2012.
    83. Anupam Das & Adian McFarlane & Luc Carels, 2021. "Empirical exploration of remittances and renewable energy consumption in Bangladesh," Asia-Pacific Journal of Regional Science, Springer, vol. 5(1), pages 65-89, February.
    84. Al-Mulali, Usama & Ozturk, Ilhan, 2016. "The investigation of environmental Kuznets curve hypothesis in the advanced economies: The role of energy prices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1622-1631.
    85. Shahbaz, Muhammad & Lahiani, Amine & Abosedra, Salah & Hammoudeh, Shawkat, 2018. "The role of globalization in energy consumption: A quantile cointegrating regression approach," Energy Economics, Elsevier, vol. 71(C), pages 161-170.
    86. Garba, Ifeoluwa & Bellingham, Richard, 2021. "Energy poverty: Estimating the impact of solid cooking fuels on GDP per capita in developing countries - Case of sub-Saharan Africa," Energy, Elsevier, vol. 221(C).
    87. Tiba, Sofien & Omri, Anis, 2017. "Literature survey on the relationships between energy, environment and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1129-1146.
    88. Mustapa, Siti Indati & Bekhet, Hussain Ali, 2016. "Analysis of CO2 emissions reduction in the Malaysian transportation sector: An optimisation approach," Energy Policy, Elsevier, vol. 89(C), pages 171-183.
    89. Dergiades, Theologos & Martinopoulos, Georgios & Tsoulfidis, Lefteris, 2013. "Energy consumption and economic growth: Parametric and non-parametric causality testing for the case of Greece," Energy Economics, Elsevier, vol. 36(C), pages 686-697.
    90. Zhenbo Zhang & Mengfan Yan, 2022. "Reexamining the Environmental Kuznets Curve in Chinese Cities: Does Intergovernmental Competition Matter?," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    91. Claudiu Cicea & Carmen Nadia Ciocoiu & Corina Marinescu, 2021. "Exploring the Research Regarding Energy–Economic Growth Relationship," Energies, MDPI, vol. 14(9), pages 1-23, May.
    92. Xiaochen Gong & Yunxia Liu & Tao Sun, 2020. "Evaluating Climate Change Governance Using the “Polity–Policy–Politics” Framework: A Comparative Study of China and the United States," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    93. Saida Zaidi & Samia Gmiden & Kais Saidi, 2018. "How energy consumption affects economic development in select African countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 501-513, January.
    94. Pablo-Romero, María del P. & De Jesús, Josué, 2016. "Economic growth and energy consumption: The Energy-Environmental Kuznets Curve for Latin America and the Caribbean," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1343-1350.
    95. Min Jiang & Euijune Kim & Youngjin Woo, 2020. "The Relationship between Economic Growth and Air Pollution—A Regional Comparison between China and South Korea," IJERPH, MDPI, vol. 17(8), pages 1-20, April.
    96. Mohamed Abdouli & Sami Hammami, 2020. "Economic Growth, Environment, FDI Inflows, and Financial Development in Middle East Countries: Fresh Evidence from Simultaneous Equation Models," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 479-511, June.
    97. Fernando Barros Jr & Victor R. Rodrigues, 2021. "On the determinants of a stable long-run relationship between energy consumption and economic growth," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2021(2), pages 147-171.
    98. Anwar, Muhammad Azfar & Zhang, Qingyu & Asmi, Fahad & Hussain, Nazim & Plantinga, Auke & Zafar, Muhammad Wasif & Sinha, Avik, 2021. "Global Perspectives on Environmental Kuznets Curve: A Bibliometric Review," MPRA Paper 110944, University Library of Munich, Germany, revised 2021.
    99. Shahbaz, Muhammad & Zakaria, Muhammad & Shahzad, Syed Jawad Hussain & Mahalik, Mantu Kumar, 2018. "The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on-quantile approach," Energy Economics, Elsevier, vol. 71(C), pages 282-301.
    100. Al-Mulali, Usama & Ozturk, Ilhan, 2015. "The effect of energy consumption, urbanization, trade openness, industrial output, and the political stability on the environmental degradation in the MENA (Middle East and North African) region," Energy, Elsevier, vol. 84(C), pages 382-389.
    101. Bao, Chao & Fang, Chuang-lin, 2013. "Geographical and environmental perspectives for the sustainable development of renewable energy in urbanizing China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 464-474.
    102. Umme Habiba & Cao Xinbang, 2022. "An Investigation of the Dynamic Relationships Between Financial Development, Renewable Energy Use, and CO2 Emissions," SAGE Open, , vol. 12(4), pages 21582440221, November.
    103. Ngo Ngoc Minh, 2020. "Foreign Direct Investment and Carbon Dioxide Emissions: Evidence from Capital of Vietnam," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 76-83.
    104. Al-mulali, Usama & Tang, Chor Foon & Ozturk, Ilhan, 2015. "Estimating the Environment Kuznets Curve hypothesis: Evidence from Latin America and the Caribbean countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 918-924.
    105. Omri, Anis & Daly, Saida & Rault, Christophe & Chaibi, Anissa, 2015. "Financial development, environmental quality, trade and economic growth: What causes what in MENA countries," Energy Economics, Elsevier, vol. 48(C), pages 242-252.
    106. Mohamed Arouri & Muhammad Shahbaz & Rattapon Onchang & Faridul Islam & Frédéric Teulon, 2014. "Environmental Kuznets Curve in Thailand: Cointegration and Causality Analysis," Working Papers 2014-204, Department of Research, Ipag Business School.
    107. Cheratian, Iman & Goltabar, Saleh, 2017. "Energy Consumption and Regional Economic Growth: The Case of Iranian Manufacturing Sector," MPRA Paper 78315, University Library of Munich, Germany.
    108. Rawshan Ara Begum & Asif Raihan & Mohd Nizam Mohd Said, 2020. "Dynamic Impacts of Economic Growth and Forested Area on Carbon Dioxide Emissions in Malaysia," Sustainability, MDPI, vol. 12(22), pages 1-15, November.
    109. Bilgili, Faik, 2015. "Business cycle co-movements between renewables consumption and industrial production: A continuous wavelet coherence approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 325-332.
    110. Wang, Yajie & Yu, Huan & Zhang, Hongda & Chen, Tianyu, 2021. "Non-linear analysis of effects of energy consumption on economic growth in China: Role of real exchange rate," Economic Modelling, Elsevier, vol. 104(C).
    111. Ahad, Muhammad & Khan, Wali, 2016. "Does Globalization Impede Environmental Quality in Bangladesh? The Role of Real Economic Activities and Energy Use," MPRA Paper 76278, University Library of Munich, Germany, revised Jul 2016.
    112. Adebola Solarin, Sakiru & Al-Mulali, Usama & Ozturk, Ilhan, 2017. "Validating the environmental Kuznets curve hypothesis in India and China: The role of hydroelectricity consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1578-1587.
    113. Xiaoying Xu & Xinxin Tian, 2023. "Dynamic Evolution and Trend Prediction in Coupling Coordination between Energy Consumption and Green Development in China," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    114. Lin Cui & Alistair Hunt & Bruce Morley, 2021. "The Effectiveness of Environmental Spending in China and the Environmental Kuznets Curve," Sustainability, MDPI, vol. 13(21), pages 1-17, November.
    115. Shaojian Wang & Chuanglin Fang & Guangdong Li, 2015. "Spatiotemporal Characteristics, Determinants and Scenario Analysis of CO2 Emissions in China Using Provincial Panel Data," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-23, September.
    116. Mohamed Abdouli & Sami Hammami, 2017. "Economic growth, FDI inflows and their impact on the environment: an empirical study for the MENA countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 121-146, January.
    117. Rath, Badri Narayan & Akram, Vaseem & Bal, Debi Prasad & Mahalik, Mantu Kumar, 2019. "Do fossil fuel and renewable energy consumption affect total factor productivity growth? Evidence from cross-country data with policy insights," Energy Policy, Elsevier, vol. 127(C), pages 186-199.
    118. Siti Indati Mustapa & Hussain Ali Bekhet, 2015. "Investigating Factors Affecting CO2 Emissions in Malaysian Road Transport Sector," International Journal of Energy Economics and Policy, Econjournals, vol. 5(4), pages 1073-1083.
    119. Guangyu Luo & Jia-Hsi Weng & Qianxue Zhang & Yu Hao, 2017. "A reexamination of the existence of environmental Kuznets curve for CO2 emissions: evidence from G20 countries," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 1023-1042, January.
    120. Mohamed Abdouli & Sami Hammami, 2018. "The Dynamic Links Between Environmental Quality, Foreign Direct Investment, and Economic Growth in the Middle Eastern and North African Countries (MENA Region)," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(3), pages 833-853, September.
    121. Giedrė Lapinskienė & Kęstutis Peleckis & Marijus Radavičius, 2015. "Economic development and greenhouse gas emissions in the European Union countries," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(6), pages 1109-1123, December.
    122. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    123. Yang, Tian-Jian & Zhang, Yue-Jun & Tang, Su & Zhang, Jing, 2016. "How to assess and manage energy performance of numerous telecommunication base stations: Evidence in China," Applied Energy, Elsevier, vol. 164(C), pages 436-445.
    124. Nasre Esfahani, Mohammad & Rasoulinezhad, Ehsan, 2016. "Revisiting the relationships between non-renewable energy consumption, CO2 emissions and economic growth in Iran," MPRA Paper 71124, University Library of Munich, Germany.
    125. Guo, Qingbin & Wang, Yong & Dong, Xiaobin, 2022. "Effects of smart city construction on energy saving and CO2 emission reduction: Evidence from China," Applied Energy, Elsevier, vol. 313(C).
    126. Zhang, Qianxue & Liao, Hua & Hao, Yu, 2018. "Does one path fit all? An empirical study on the relationship between energy consumption and economic development for individual Chinese provinces," Energy, Elsevier, vol. 150(C), pages 527-543.
    127. Ha Minh Nguyen & Ngoc Hoang Bui & Duc Hong Vo & Michael McAleer, 2019. "Energy consumption and economic growth: Evidence from Vietnam," Documentos de Trabajo del ICAE 2019-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    128. Rodrigo Galbieri & Thiago Luis Felipe Brito & Dominique Mouette & Hirdan Katarina Medeiros Costa & Edmilson Moutinho dos Santos & Murilo Tadeu Werneck Fagá, 2018. "Bus fleet emissions: new strategies for mitigation by adopting natural gas," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(7), pages 1039-1062, October.
    129. Tao, Wang & Guang-shun, He & Jing, Guo & Yue, Yin & Lin-lin, Li, 2020. "Energy consumption and economic growth in China’s marine economic zones-an estimation based on partial linear model," Energy, Elsevier, vol. 205(C).
    130. Miloud Lacheheb & A. S. Abdul Rahim & Abdalla Sirag, 2015. "Economic Growth and Carbon Dioxide Emissions: Investigating the Environmental Kuznets Curve Hypothesis in Algeria," International Journal of Energy Economics and Policy, Econjournals, vol. 5(4), pages 1125-1132.
    131. Gulasekaran Rajaguru & Safdar Ullah Khan, 2021. "Causality between Energy Consumption and Economic Growth in the Presence of Growth Volatility: Multi-Country Evidence," JRFM, MDPI, vol. 14(10), pages 1-26, October.
    132. Muhammad, Shahbaz & Mihai, Mutascu & Parvez, Azim, 2011. "Environmental Kuznets Curve in Romania and the Role of Energy Consumption," MPRA Paper 32254, University Library of Munich, Germany, revised 15 Jul 2011.
    133. Tuğay GÜNEL, 2019. "Relationship between CO2 Emission and Economic Growth in Turkic Countries: A Panel Causality Analysis," Sosyoekonomi Journal, Sosyoekonomi Society.
    134. Reham Alhindawi & Yousef Abu Nahleh & Arun Kumar & Nirajan Shiwakoti, 2020. "Projection of Greenhouse Gas Emissions for the Road Transport Sector Based on Multivariate Regression and the Double Exponential Smoothing Model," Sustainability, MDPI, vol. 12(21), pages 1-18, November.
    135. Lira P. Sekantsi & Sayed Timuno, 2017. "Electricity Consumption In Botswana: The Role Of Financial Development, Industrialisation And Urbanization," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 19, pages 75-102, June.
    136. Bouznit, Mohammed & Pablo-Romero, María del P., 2016. "CO2 emission and economic growth in Algeria," Energy Policy, Elsevier, vol. 96(C), pages 93-104.
    137. Najid Ahmad & Liangsheng Du & Xian-Liang Tian & Jianlin Wang, 2019. "Chinese growth and dilemmas: modelling energy consumption, CO2 emissions and growth in China," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 315-338, January.
    138. Siong, Tang Chung & Kogid, Mori & Alin, James M., 2022. "Asymmetric modeling of fuel consumption in Malaysia," Energy, Elsevier, vol. 239(PA).
    139. Zhang, Guoxing & Nuruzzaman, Md & Su, Bin, 2021. "Nexus between household energy consumption and economic growth in Bangladesh (1975–2018)," Energy Policy, Elsevier, vol. 156(C).
    140. Shahbaz, Muhammad & Lean, Hooi Hooi & Shabbir, Muhammad Shahbaz, 2012. "Environmental Kuznets Curve hypothesis in Pakistan: Cointegration and Granger causality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2947-2953.
    141. Sohail Amjed & Iqtidar Ali Shah & Adnan Riaz, 2022. "Investigating the Interactive Role of Demand Side Factors Potentially Responsible for Energy Crisis in Pakistan," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 236-246, May.
    142. Tao Pang & Maosheng Duan, 2016. "Cap setting and allowance allocation in China's emissions trading pilot programmes: special issues and innovative solutions," Climate Policy, Taylor & Francis Journals, vol. 16(7), pages 815-835, October.
    143. Pengyan Zhang & Jianjian He & Xin Hong & Wei Zhang & Chengzhe Qin & Bo Pang & Yanyan Li & Yu Liu, 2017. "Regional-Level Carbon Emissions Modelling and Scenario Analysis: A STIRPAT Case Study in Henan Province, China," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    144. Kasman, Adnan & Duman, Yavuz Selman, 2015. "CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: A panel data analysis," Economic Modelling, Elsevier, vol. 44(C), pages 97-103.
    145. Kazeem Bello Ajide & Ekundayo Peter Mesagan, 2022. "Heterogeneous Analysis of Pollution Abatement via Renewable and Non-renewable Energy: Lessons from Investment in G20 Nations," Working Papers 22/017, European Xtramile Centre of African Studies (EXCAS).
    146. Muhammad, Shahbaz & Adebola Solarin, Solarin & Ozturk, Ilhan, 2016. "Environmental Kuznets curve hypothesis and the role of globalization in selected African countries," MPRA Paper 69859, University Library of Munich, Germany, revised 04 Mar 2016.
    147. Kristofer Månsson & B. M. Golam Kibria & Ghazi Shukur & Pär Sjölander, 2018. "On the Estimation of the CO 2 Emission, Economic Growth and Energy Consumption Nexus Using Dynamic OLS in the Presence of Multicollinearity," Sustainability, MDPI, vol. 10(5), pages 1-11, April.
    148. Lee, Seungtaek & Chong, Wai Oswald, 2016. "Causal relationships of energy consumption, price, and CO2 emissions in the U.S. building sector," Resources, Conservation & Recycling, Elsevier, vol. 107(C), pages 220-226.
    149. Chen, Hanyi & Liu, Kui & Shi, Tie & Wang, Linfeng, 2022. "Coal consumption and economic growth: A Chinese city-level study," Energy Economics, Elsevier, vol. 109(C).
    150. Liu, Yaobin & Xie, Yichun, 2013. "Asymmetric adjustment of the dynamic relationship between energy intensity and urbanization in China," Energy Economics, Elsevier, vol. 36(C), pages 43-54.
    151. Buhari DOĞAN & Osman DEĞER, 2018. "The role of economic growth and energy consumption on CO2 emissions in E7 countries," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(2(615), S), pages 231-246, Summer.
    152. Sharma, Gagan Deep & Tiwari, Aviral Kumar & Erkut, Burak & Mundi, Hardeep Singh, 2021. "Exploring the nexus between non-renewable and renewable energy consumptions and economic development: Evidence from panel estimations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    153. Jianjian He & Pengyan Zhang, 2018. "Evaluating the Coordination of Industrial-Economic Development Based on Anthropogenic Carbon Emissions in Henan Province, China," IJERPH, MDPI, vol. 15(9), pages 1-19, August.
    154. Xu Liu & Jiang Lin & Junfeng Hu & Hongyou Lu & Jiaru Cai, 2019. "Economic Transition, Technology Change, and Energy Consumption in China: A Provincial-Level Analysis," Energies, MDPI, vol. 12(13), pages 1-16, July.
    155. Saidi, Samir & Shahbaz, Muhammad & Akhtar, Pervaiz, 2018. "The long-run relationships between transport energy consumption, transport infrastructure, and economic growth in MENA countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 78-95.
    156. Shahbaz, Muhammad & Abosedra, Salah & Sbia, Rashid, 2013. "Energy Consumption, Financial Development and Growth: Evidence from Cointegration with unknown Structural breaks in Lebanon," MPRA Paper 46580, University Library of Munich, Germany.
    157. Guglielmo Maria Caporale & Gloria Claudio-Quiroga & Luis A. Gil-Alana, 2021. "Analysing the relationship between CO2 emissions and GDP in China: a fractional integration and cointegration approach," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-16, December.
    158. Touitou Mohammed, 2021. "The Relationship between Economic Growth, Energy Consumption and CO2 Emission in the Middle East and North Africa (MENA)," Folia Oeconomica Stetinensia, Sciendo, vol. 21(2), pages 132-147, December.
    159. Zhang, Lei & Gao, Jing, 2016. "Exploring the effects of international tourism on China's economic growth, energy consumption and environmental pollution: Evidence from a regional panel analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 225-234.
    160. Farzana Sharmin & Mohammed Robayet Khan & Mohammed Robayet Khan, 2016. "A Causal Relationship between Energy Consumption, Energy Prices and Economic Growth in Africa," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 477-494.
    161. Pham Ngoc-Tham & Pham Trung-Kien & Cao Viet Hieu & Tran Ha Giang & Vo Xuan Vinh, 2020. "The Impact of International Trade on Environmental Quality: Implications for Law," Asian Journal of Law and Economics, De Gruyter, vol. 11(1), pages 1-12, April.
    162. Al-mulali, Usama & Binti Che Sab, Che Normee, 2012. "The impact of energy consumption and CO2 emission on the economic and financial development in 19 selected countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4365-4369.
    163. Pao, Hsiao-Tien & Fu, Hsin-Chia, 2015. "Competition and stability analyses among emissions, energy, and economy: Application for Mexico," Energy, Elsevier, vol. 82(C), pages 98-107.
    164. Zhao, Bingyu & Yang, Wanping, 2020. "Does financial development influence CO2 emissions? A Chinese province-level study," Energy, Elsevier, vol. 200(C).
    165. Zhihui Lv & Amanda M. Y. Chu & Michael McAleer & Wing-Keung Wong, 2019. "Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China: Cointegration and Multivariate Causality," IJERPH, MDPI, vol. 16(21), pages 1-35, October.
    166. Ilhan Ozturk & Buket Savranlar & Alper Aslan & Usama Al-mulali & Seyfettin Artan, 2023. "The Dynamic Simulation Analysis of the Impact of Urbanization and Globalization on Environmental Quality," Sustainability, MDPI, vol. 15(15), pages 1-13, July.
    167. Ahmad, Nisar & Aghdam, Reza FathollahZadeh & Butt, Irfan & Naveed, Amjad, 2020. "Citation-based systematic literature review of energy-growth nexus: An overview of the field and content analysis of the top 50 influential papers," Energy Economics, Elsevier, vol. 86(C).
    168. Muhammad Umar & Xiangfeng Ji & Dervis Kirikkaleli & Muhammad Shahbaz & Xuemei Zhou, 2020. "Environmental cost of natural resources utilization and economic growth: Can China shift some burden through globalization for sustainable development?," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(6), pages 1678-1688, November.
    169. Gozgor, Giray & Can, Muhlis, 2016. "Does Export Product Quality Matter for CO2 Emissions? Evidence from China," MPRA Paper 71873, University Library of Munich, Germany.
    170. Shahbaz, Muhammad & Sinha, Avik, 2018. "Environmental Kuznets Curve for CO2 Emission: A Literature Survey," MPRA Paper 86281, University Library of Munich, Germany, revised 11 Apr 2018.
    171. Adewuyi, Adeolu O., 2016. "Effects of public and private expenditures on environmental pollution: A dynamic heterogeneous panel data analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 489-506.
    172. Abubakar Hamid Danlami & Shri-Dewi Applanaidu & Rabiul Islam, 2018. "Movement towards a low carbon emitted environment: a test of some factors in Malaysia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(3), pages 1085-1102, June.
    173. Gazi A. Uddin & Khorshed Alam & Jeff Gow, 2016. "Does Ecological Footprint Impede Economic Growth? An Empirical Analysis Based on the Environmental Kuznets Curve Hypothesis," Australian Economic Papers, Wiley Blackwell, vol. 55(3), pages 301-316, September.
    174. Khalfaoui, Rabeh & Tiwari, Aviral Kumar & Khalid, Usman & Shahbaz, Muhammad, 2021. "Nexus between Carbon Dioxide Emissions and Economic Growth in G7 Countries: Fresh Insights via Wavelet Coherence Analysis," MPRA Paper 109276, University Library of Munich, Germany, revised 18 Aug 2021.
    175. Tianxiang Lv & Xu Wu, 2019. "Using Panel Data to Evaluate the Factors Affecting Transport Energy Consumption in China’s Three Regions," IJERPH, MDPI, vol. 16(4), pages 1-14, February.
    176. Trinh, Vu Quang & Nguyen, Anh Thi Quynh & Vo, Xuan Vinh, 2022. "Export quality upgrading and environmental sustainability: Evidence from the East Asia and Pacific Region," Research in International Business and Finance, Elsevier, vol. 60(C).
    177. Olimpia Neagu, 2019. "The Link between Economic Complexity and Carbon Emissions in the European Union Countries: A Model Based on the Environmental Kuznets Curve (EKC) Approach," Sustainability, MDPI, vol. 11(17), pages 1-27, August.
    178. Ioana Anda Milin & Mariana Claudia Mungiu Pupazan & Abdul Rehman & Irina Elena Chirtoc & Nicolae Ecobici, 2022. "Examining the Relationship between Rural and Urban Populations’ Access to Electricity and Economic Growth: A New Evidence," Sustainability, MDPI, vol. 14(13), pages 1-16, July.
    179. Erdost Torun & Afife Duygu Ayhan Akdeniz & Erhan Demireli & Simon Grima, 2022. "Long-Term US Economic Growth and the Carbon Dioxide Emissions Nexus: A Wavelet-Based Approach," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    180. Mohmand, Yasir Tariq & Mehmood, Fahad & Mughal, Khurrum Shahzad & Aslam, Faheem, 2021. "Investigating the causal relationship between transport infrastructure, economic growth and transport emissions in Pakistan," Research in Transportation Economics, Elsevier, vol. 88(C).
    181. Shahbaz, Muhammad & Haouas, Ilham & Hoang, Thi Hong Van, 2019. "Economic growth and environmental degradation in Vietnam: Is the environmental Kuznets curve a complete picture?," Emerging Markets Review, Elsevier, vol. 38(C), pages 197-218.
    182. Habib Ur Rahman & Umer Zaman & Jarosław Górecki, 2021. "The Role of Energy Consumption, Economic Growth and Globalization in Environmental Degradation: Empirical Evidence from the BRICS Region," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    183. Kayser, Dirk, 2016. "Solar photovoltaic projects in China: High investment risks and the need for institutional response," Applied Energy, Elsevier, vol. 174(C), pages 144-152.
    184. Yilmaz Bayar & Marius Dan Gavriletea, 2019. "Energy efficiency, renewable energy, economic growth: evidence from emerging market economies," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2221-2234, July.
    185. Atwi, Majed & Barberán, Ramón & Mur, Jesús & Angulo, Ana, 2018. "CO2 Kuznets Curve Revisited: From Cross-Sections to Panel Data Models," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 40, pages 169-196.
    186. Tiwari, Aviral Kumar & Eapen, Leena Mary & Nair, Sthanu R, 2021. "Electricity consumption and economic growth at the state and sectoral level in India: Evidence using heterogeneous panel data methods," Energy Economics, Elsevier, vol. 94(C).
    187. Wu, Haitao & Xu, Lina & Ren, Siyu & Hao, Yu & Yan, Guoyao, 2020. "How do energy consumption and environmental regulation affect carbon emissions in China? New evidence from a dynamic threshold panel model," Resources Policy, Elsevier, vol. 67(C).
    188. Mohamed Abdouli & Sami Hammami, 2017. "The Impact of FDI Inflows and Environmental Quality on Economic Growth: an Empirical Study for the MENA Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(1), pages 254-278, March.
    189. Saida Daly & Mohamed Abdouli, 2023. "The Nexus between Environmental Quality, Economic Growth, and Trade Openness in Saudi Arabia (1990-2017)," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 579-598, July.
    190. Mohamed Osman & Ariful Hoque & Geoffrey Gachino, 2018. "Structural Breaks and Energy Consumption in the Gulf Cooperation Council Countries: Are Random Shocks Transitory or Permanent?," Australian Economic Papers, Wiley Blackwell, vol. 57(4), pages 446-455, December.
    191. Zhang, Long & Yu, Jing & Sovacool, Benjamin K. & Ren, Jingzheng, 2017. "Measuring energy security performance within China: Toward an inter-provincial prospective," Energy, Elsevier, vol. 125(C), pages 825-836.
    192. Sun, Chuanwang & Yi, Xiangyu & Ma, Tiemeng & Cai, Weiyi & Wang, Wei, 2022. "Evaluating the optimal air pollution reduction rate: Evidence from the transmission mechanism of air pollution effects on public subjective well-being," Energy Policy, Elsevier, vol. 161(C).
    193. Ozcan, Burcu, 2013. "The nexus between carbon emissions, energy consumption and economic growth in Middle East countries: A panel data analysis," Energy Policy, Elsevier, vol. 62(C), pages 1138-1147.
    194. Mehmet Akif, Destek & Muhammad, Shahbaz & Ilyas, Okumus & Shawkat, Hammoudeh & Avik, Sinha, 2020. "The relationship between economic growth and carbon emissions in G-7 countries: evidence from time-varying parameters with a long history," MPRA Paper 100514, University Library of Munich, Germany, revised Apr 2020.
    195. Onater-Isberk, Esra, 2016. "Environmental Kuznets curve under noncarbohydrate energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 338-347.
    196. Zhang, XiaoHong & Hu, He & Zhang, Rong & Deng, ShiHuai, 2014. "Interactions between China׳s economy, energy and the air emissions and their policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 624-638.
    197. Cerdeira Bento, João Paulo, 2014. "The determinants of CO2 emissions: empirical evidence from Italy," MPRA Paper 59166, University Library of Munich, Germany.
    198. Cui, Wencong & Li, Jianyi & Xu, Wangtu & Güneralp, Burak, 2021. "Industrial electricity consumption and economic growth: A spatio-temporal analysis across prefecture-level cities in China from 1999 to 2014," Energy, Elsevier, vol. 222(C).
    199. Acheampong, Alex O., 2019. "Modelling for insight: Does financial development improve environmental quality?," Energy Economics, Elsevier, vol. 83(C), pages 156-179.
    200. Sanu, Md Sahnewaz, 2019. "Re-examining the Environmental Kuznets Curve Hypothesis in India: The Role of Coal Consumption, Financial Development and Trade Openness," MPRA Paper 107845, University Library of Munich, Germany, revised Dec 2019.
    201. Junsheng Ha & Pei-Pei Tan & Kim-Leng Goh, 2018. "Linear and nonlinear causal relationship between energy consumption and economic growth in China: New evidence based on wavelet analysis," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-21, May.
    202. Ayoub Zeraibi & Daniel Balsalobre-Lorente & Khurram Shehzad, 2021. "Testing the Environmental Kuznets Curve Hypotheses in Chinese Provinces: A Nexus between Regional Government Expenditures and Environmental Quality," IJERPH, MDPI, vol. 18(18), pages 1-16, September.
    203. Chen, Yulong & Zhao, Jincai & Lai, Zhizhu & Wang, Zheng & Xia, Haibin, 2019. "Exploring the effects of economic growth, and renewable and non-renewable energy consumption on China’s CO2 emissions: Evidence from a regional panel analysis," Renewable Energy, Elsevier, vol. 140(C), pages 341-353.
    204. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    205. Charfeddine, Lanouar & Mrabet, Zouhair, 2017. "The impact of economic development and social-political factors on ecological footprint: A panel data analysis for 15 MENA countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 138-154.
    206. George E. Halkos & Eleni-Christina Gkampoura, 2021. "Examining the Linkages among Carbon Dioxide Emissions, Electricity Production and Economic Growth in Different Income Levels," Energies, MDPI, vol. 14(6), pages 1-24, March.
    207. Xiangyu Teng & Liang Chun Lu & Yung-ho Chiu, 2018. "Considering Emission Treatment for Energy-Efficiency Improvement and Air Pollution Reduction in China’s Industrial Sector," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
    208. Gao Ling & Asif Razzaq & Yaqiong Guo & Tehreem Fatima & Farrukh Shahzad, 2022. "Asymmetric and time-varying linkages between carbon emissions, globalization, natural resources and financial development in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6702-6730, May.
    209. To Trung Thanh & Le Thanh Ha & Hoang Phuong Dung & Tran Thi Lan Huong, 2023. "Impacts of digitalization on energy security: evidence from European countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11599-11644, October.
    210. Huijun Li & Jianhua Zhang & Edward Osei & Mark Yu, 2018. "Sustainable Development of China’s Industrial Economy: An Empirical Study of the Period 2001–2011," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    211. Al-Mulali, Usama & Saboori, Behnaz & Ozturk, Ilhan, 2015. "Investigating the environmental Kuznets curve hypothesis in Vietnam," Energy Policy, Elsevier, vol. 76(C), pages 123-131.
    212. Omri, Anis, 2013. "CO2 emissions, energy consumption and economic growth nexus in MENA countries: Evidence from simultaneous equations models," Energy Economics, Elsevier, vol. 40(C), pages 657-664.
    213. Liu Chen & Xin Li & Sheng Xue & Lingfei Qu & Minxi Wang, 2019. "Carbon intensity and emission reduction potential in China: spatial measuring method," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-12, December.
    214. Nermin Ya ar, 2017. "The Relationship between Energy Consumption and Economic Growth: Evidence from Different Income Country Groups," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 86-97.
    215. Rahman, Mohammad Mafizur, 2017. "Do population density, economic growth, energy use and exports adversely affect environmental quality in Asian populous countries?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 506-514.
    216. Mohammad Al-Zuhair & Talal AL-Bazali, 2022. "Causality Between Energy Consumption and Economic Growth: The Case of Kuwait," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 22-29, November.
    217. Lele Xin & Junsong Jia & Wenhui Hu & Huiqing Zeng & Chundi Chen & Bo Wu, 2021. "Decomposition and Decoupling Analysis of CO 2 Emissions Based on LMDI and Two-Dimensional Decoupling Model in Gansu Province, China," IJERPH, MDPI, vol. 18(11), pages 1-20, June.
    218. Ren, Yi-Shuai & Narayan, Seema & Ma, Chao-qun, 2021. "Air quality, COVID-19, and the oil market: Evidence from China’s provinces," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 58-72.
    219. Guglielmo Maria Caporale & Gloria Claudio-Quiroga & Luis A. Gil-Alana, 2019. "CO2 Emissions and GDP: Evidence from China," CESifo Working Paper Series 7881, CESifo.
    220. Jihuan Zhang, 2021. "Environmental Kuznets Curve Hypothesis on CO 2 Emissions: Evidence for China," JRFM, MDPI, vol. 14(3), pages 1-16, February.
    221. Karakurt, Izzet & Aydin, Gokhan, 2023. "Development of regression models to forecast the CO2 emissions from fossil fuels in the BRICS and MINT countries," Energy, Elsevier, vol. 263(PA).
    222. Dilek Temiz Dinç & Ece C. Akdoğan, 2019. "Renewable Energy Production, Energy Consumption and Sustainable Economic Growth in Turkey: A VECM Approach," Sustainability, MDPI, vol. 11(5), pages 1-14, February.
    223. Shan, Yuli & Liu, Jianghua & Liu, Zhu & Xu, Xinwanghao & Shao, Shuai & Wang, Peng & Guan, Dabo, 2016. "New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors," Applied Energy, Elsevier, vol. 184(C), pages 742-750.
    224. MUTASCU Mihai & PEREAU Jean-Christophe & URSU Eugen, 2016. "A Wavelet Analysis of the Environmental Kuznets Curve in France," Cahiers du GREThA (2007-2019) 2016-10, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    225. Dogan, Eyup & Sebri, Maamar & Turkekul, Berna, 2016. "Exploring the relationship between agricultural electricity consumption and output: New evidence from Turkish regional data," Energy Policy, Elsevier, vol. 95(C), pages 370-377.
    226. Qin Fei & Rajah Rasiah & Leow Jia Shen, 2014. "The Clean Energy-Growth Nexus with CO2 Emissions and Technological Innovation in Norway and New Zealand," Energy & Environment, , vol. 25(8), pages 1323-1344, December.
    227. Shahbaz, Muhammad & Nasreen, Samia & Ahmed, Khalid & Hammoudeh, Shawkat, 2017. "Trade openness–carbon emissions nexus: The importance of turning points of trade openness for country panels," Energy Economics, Elsevier, vol. 61(C), pages 221-232.
    228. Hao, Yu & Wang, Ling-Ou & Lee, Chien-Chiang, 2020. "Financial development, energy consumption and China's economic growth: New evidence from provincial panel data," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 1132-1151.
    229. Ahmad Farabi & Azrai Abdullah & Rahmat Heru Setianto, 2019. "Energy Consumption, Carbon Emissions and Economic Growth in Indonesia and Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 338-345.
    230. Sofien, Tiba & Omri, Anis, 2016. "Literature survey on the relationships between energy variables, environment and economic growth," MPRA Paper 82555, University Library of Munich, Germany, revised 14 Sep 2016.
    231. Majed S. Almozaini, 2019. "The Causality Relationship between Economic Growth and Energy Consumption in The World s top Energy Consumers," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 40-53.
    232. Bai, Caiquan & Feng, Chen & Du, Kerui & Wang, Yuansheng & Gong, Yuan, 2020. "Understanding spatial-temporal evolution of renewable energy technology innovation in China: Evidence from convergence analysis," Energy Policy, Elsevier, vol. 143(C).
    233. Korkmaz, Özge, 2022. "What is the role of the rents in energy connection with economic growth for China and the United States?," Resources Policy, Elsevier, vol. 75(C).
    234. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    235. Menegaki, Angeliki N., 2014. "On energy consumption and GDP studies; A meta-analysis of the last two decades," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 31-36.
    236. Mumin Atalay Cetin & Ibrahim Bakirtas, 2020. "The long-run environmental impacts of economic growth, financial development, and energy consumption: Evidence from emerging markets," Energy & Environment, , vol. 31(4), pages 634-655, June.
    237. Sahbi Farhani & Jaleleddine Ben Rejeb, 2012. "Energy Consumption, Economic Growth and CO2 Emissions: Evidence from Panel Data for MENA Region," International Journal of Energy Economics and Policy, Econjournals, vol. 2(2), pages 71-81.
    238. Atems, Bebonchu & Mette, Jehu & Lin, Guoyu & Madraki, Golshan, 2023. "Estimating and forecasting the impact of nonrenewable energy prices on US renewable energy consumption," Energy Policy, Elsevier, vol. 173(C).
    239. Itkonen, Juha V.A., 2012. "Problems estimating the carbon Kuznets curve," Energy, Elsevier, vol. 39(1), pages 274-280.
    240. Andersson, Fredrik N.G. & Karpestam, Peter, 2013. "CO2 emissions and economic activity: Short- and long-run economic determinants of scale, energy intensity and carbon intensity," Energy Policy, Elsevier, vol. 61(C), pages 1285-1294.
    241. Longji Zeng & Yuandi Wang & Yajuan Deng, 2022. "How Land Transactions Affect Carbon Emissions: Evidence from China," Land, MDPI, vol. 11(5), pages 1-25, May.
    242. Nam, Hoseok & Konishi, Satoshi, 2019. "Potentiality of biomass-nuclear hybrid system deployment scenario: Techno-economic feasibility perspective in South Korea," Energy, Elsevier, vol. 175(C), pages 1038-1054.
    243. Mahalik , Mantu Kumar & Le, Thai-Ha & Le, Ha-Chi & Subhadra , Sushree, 2022. "Does Higher Education Level Matter for The Reduction of Non-Renewable Energy Demand? Insights from the World’s Largest Greenhouse Gas Emitters," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 47(3), pages 29-56, September.
    244. Ihtisham ul Haq & Bakhitbay Embergenov & Piratdin Allayarov, 2022. "Nexus between Sources of Electricity Production and Environmental Degradation in Context of EKC Hypothesis: A Time Series Study for Pakistan," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 436-443.
    245. Xu, Tao, 2018. "Investigating Environmental Kuznets Curve in China–Aggregation bias and policy implications," Energy Policy, Elsevier, vol. 114(C), pages 315-322.
    246. Tang, Chor Foon & Tan, Bee Wah, 2015. "The impact of energy consumption, income and foreign direct investment on carbon dioxide emissions in Vietnam," Energy, Elsevier, vol. 79(C), pages 447-454.
    247. Uktam Umurzakov & Bakhodir Mirzaev & Raufhon Salahodjaev & Arletta Isaeva & Shakhnoza Tosheva, 2020. "Energy Consumption and Economic Growth: Evidence from Post-Communist Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 59-65.
    248. Azadeh, A. & Babazadeh, R. & Asadzadeh, S.M., 2013. "Optimum estimation and forecasting of renewable energy consumption by artificial neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 605-612.
    249. Ramachandra, T.V. & Bajpai, Vishnu & Kulkarni, Gouri & Aithal, Bharath H. & Han, Sun Sheng, 2017. "Economic disparity and CO2 emissions: The domestic energy sector in Greater Bangalore, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1331-1344.
    250. Minzhe Du & Bing Wang & Yanrui Wu, 2014. "Sources of China’s Economic Growth: An Empirical Analysis Based on the BML Index with Green Growth Accounting," Sustainability, MDPI, vol. 6(9), pages 1-22, September.
    251. Sun, Huaping & Samuel, Clottey Attuquaye & Kofi Amissah, Joshua Clifford & Taghizadeh-Hesary, Farhad & Mensah, Isaac Adjei, 2020. "Non-linear nexus between CO2 emissions and economic growth: A comparison of OECD and B&R countries," Energy, Elsevier, vol. 212(C).
    252. Lei Liu & Ke Wang & Shanshan Wang & Ruiqin Zhang & Xiaoyan Tang, 2019. "Exploring the Driving Forces and Reduction Potential of Industrial Energy-Related CO 2 Emissions during 2001–2030: A Case Study for Henan Province, China," Sustainability, MDPI, vol. 11(4), pages 1-25, February.
    253. Abdouli, Mohamed & Hammami, Sami, 2017. "Investigating the causality links between environmental quality, foreign direct investment and economic growth in MENA countries," International Business Review, Elsevier, vol. 26(2), pages 264-278.
    254. Al Mamun, Md. & Sohag, Kazi & Hannan Mia, Md. Abdul & Salah Uddin, Gazi & Ozturk, Ilhan, 2014. "Regional differences in the dynamic linkage between CO2 emissions, sectoral output and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1-11.
    255. Reham Alhindawi & Yousef Abu Nahleh & Arun Kumar & Nirajan Shiwakoti, 2019. "Application of a Adaptive Neuro-Fuzzy Technique for Projection of the Greenhouse Gas Emissions from Road Transportation," Sustainability, MDPI, vol. 11(22), pages 1-17, November.
    256. Pedro Antonio Martín Cervantes & Nuria Rueda López & Salvador Cruz Rambaud, 2019. "A Causal Analysis of Life Expectancy at Birth. Evidence from Spain," IJERPH, MDPI, vol. 16(13), pages 1-14, July.
    257. Liang Chen & Zhifeng Yang & Bin Chen, 2013. "Decomposition Analysis of Energy-Related Industrial CO 2 Emissions in China," Energies, MDPI, vol. 6(5), pages 1-19, April.
    258. Li, Tingting & Wang, Yong & Zhao, Dingtao, 2016. "Environmental Kuznets Curve in China: New evidence from dynamic panel analysis," Energy Policy, Elsevier, vol. 91(C), pages 138-147.
    259. Azevedo, Isabel & Horta, Isabel & Leal, Vítor M.S., 2017. "Analysis of the relationship between local climate change mitigation actions and greenhouse gas emissions – Empirical insights," Energy Policy, Elsevier, vol. 111(C), pages 204-213.
    260. Ahmad, Najid & Du, Liangsheng, 2017. "Effects of energy production and CO2 emissions on economic growth in Iran: ARDL approach," Energy, Elsevier, vol. 123(C), pages 521-537.
    261. Asafu-Adjaye, John & Byrne, Dominic & Alvarez, Maximiliano, 2016. "Economic growth, fossil fuel and non-fossil consumption: A Pooled Mean Group analysis using proxies for capital," Energy Economics, Elsevier, vol. 60(C), pages 345-356.
    262. Pathak, Saurabh & Jain, Komal & Kumar, Prashant & Wang, Xu & Pant, R.P., 2019. "Improved thermal performance of annular fin-shell tube storage system using magnetic fluid," Applied Energy, Elsevier, vol. 239(C), pages 1524-1535.
    263. Fang, Zheng & Chen, Yang, 2017. "Human capital, energy, and economic development – Evidence from Chinese provincial data," RIEI Working Papers 2017-03, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    264. Cheng, Yuk-Shing & Li, Raymond & Woo, Chi-Keung, 2021. "Regional energy-growth nexus and energy conservation policy in China," Energy, Elsevier, vol. 217(C).
    265. Bikrat Fatiha & Mohamed Karim, 2019. "Key Determinants of Energy Demand: Case of Morocco," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(5), pages 1-50, May.
    266. Pal, Debdatta & Mitra, Subrata Kumar, 2017. "The environmental Kuznets curve for carbon dioxide in India and China: Growth and pollution at crossroad," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 371-385.
    267. Lapatinas, Athanasios & Garas, Antonios & Boleti, Eirini & Kyriakou, Alexandra, 2019. "Economic complexity and environmental performance: Evidence from a world sample," MPRA Paper 92833, University Library of Munich, Germany.
    268. Kais Saidi & Sami Hammami, 2016. "Economic growth, energy consumption and carbone dioxide emissions: recent evidence from panel data analysis for 58 countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(1), pages 361-383, January.
    269. Mrabet, Zouhair & Alsamara, Mouyad & Mimouni, Karim & Mnasri, Ayman, 2021. "Can human development and political stability improve environmental quality? New evidence from the MENA region," Economic Modelling, Elsevier, vol. 94(C), pages 28-44.
    270. Du, Huibin & Matisoff, Daniel C. & Wang, Yangyang & Liu, Xi, 2016. "Understanding drivers of energy efficiency changes in China," Applied Energy, Elsevier, vol. 184(C), pages 1196-1206.
    271. Al-mulali, Usama & Lee, Janice YM & Hakim Mohammed, Abdul & Sheau-Ting, Low, 2013. "Examining the link between energy consumption, carbon dioxide emission, and economic growth in Latin America and the Caribbean," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 42-48.
    272. Chien-Liang Chiu & I-Fan Hsiao & Lily Chang, 2023. "Overviewing Global Surface Temperature Changes Regarding CO 2 Emission, Population Density, and Energy Consumption in the Industry: Policy Suggestions," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    273. Shazia Kousar & Farhan Ahmed & María de las Nieves López García & Nimra Ashraf, 2020. "Renewable Energy Consumption, Water Crises, and Environmental Degradation with Moderating Role of Governance: Dynamic Panel Analysis under Cross-Sectional Dependence," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    274. Shahbaz, Muhammad & Abosedra, Salah & Kumar, Mantu & Abbas, Qaisar, 2020. "Environmental Consequence of Transportation Sector for USA: The Validation of Transportation Kuznets Curve," MPRA Paper 102167, University Library of Munich, Germany, revised 30 Jul 2020.
    275. Mrabet, Zouhair & Alsamara, Mouyad, 2017. "Testing the Kuznets Curve hypothesis for Qatar: A comparison between carbon dioxide and ecological footprint," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1366-1375.
    276. Aamir Javed & Agnese Rapposelli & Mohsin Shah & Asif Javed, 2023. "Nexus between Energy Consumption, Foreign Direct Investment, Oil Prices, Economic Growth, and Carbon Emissions in Italy: Fresh Evidence from Autoregressive Distributed Lag and Wavelet Coherence Approa," Energies, MDPI, vol. 16(16), pages 1-23, August.
    277. Salina Daud & Wan Noordiana Wan Hanafi & Bamidele Victor Ayodele & Jegatheesan Rajadurai & Siti Indati Mustapa & Nurul Nadiah Ahmad & Wan Mohammad Taufik Wan Abdullah & Siti Norhidayah Toolib & Maryam, 2023. "Residential Consumers’ Lifestyle Energy Usage and Energy Efficiency in Selected States in Malaysia," Energies, MDPI, vol. 16(8), pages 1-18, April.
    278. Mansoor Ahmed KOONDHAR & Lingling QIU & Houjian LI & Weiwei LIU & Ge HE, 2018. "A nexus between air pollution, energy consumption and growth of economy: A comparative study between the USA and China-based on the ARDL bound testing approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(6), pages 265-276.
    279. Fang, Zheng & Chen, Yang, 2017. "Human capital and energy in economic growth – Evidence from Chinese provincial data," Energy Economics, Elsevier, vol. 68(C), pages 340-358.
    280. Olimpia Neagu, 2020. "Economic Complexity and Ecological Footprint: Evidence from the Most Complex Economies in the World," Sustainability, MDPI, vol. 12(21), pages 1-18, October.
    281. Muhammad Zeshan & Vaqar Ahmed, 2013. "Energy, environment and growth nexus in South Asia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 15(6), pages 1465-1475, December.
    282. Guido Francesco Frate & Lorenzo Ferrari & Umberto Desideri, 2020. "Rankine Carnot Batteries with the Integration of Thermal Energy Sources: A Review," Energies, MDPI, vol. 13(18), pages 1-28, September.
    283. Berk, Istemi & Yetkiner, Hakan, 2014. "Energy prices and economic growth in the long run: Theory and evidence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 228-235.
    284. Palakiyèm Kpemoua, 2016. "Analysis Of The Link Between Economic Growth And Energy Consumption In Togo [Analyse Du Lien Entre Croissance Economique Et Consommation D'Energie Au Togo]," Working Papers hal-01452909, HAL.
    285. Yang, Shenglang & Shi, Xunpeng, 2018. "Intangible capital and sectoral energy intensity: Evidence from 40 economies between 1995 and 2007," Energy Policy, Elsevier, vol. 122(C), pages 118-128.
    286. Hanif, Imran, 2017. "Economics-energy-environment nexus in Latin America and the Caribbean," Energy, Elsevier, vol. 141(C), pages 170-178.
    287. Kais, Saidi & Sami, Hammami, 2016. "An econometric study of the impact of economic growth and energy use on carbon emissions: Panel data evidence from fifty eight countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1101-1110.
    288. Shahbaz, Muhammad & Khan, Saleheen & Ali, Amjad & Bhattacharya, Mita, 2015. "The Impact of Globalization on CO2 Emissions in China," MPRA Paper 64450, University Library of Munich, Germany, revised 15 May 2015.
    289. Kivyiro, Pendo & Arminen, Heli, 2014. "Carbon dioxide emissions, energy consumption, economic growth, and foreign direct investment: Causality analysis for Sub-Saharan Africa," Energy, Elsevier, vol. 74(C), pages 595-606.
    290. Salahuddin, Mohammad & Gow, Jeff, 2014. "Economic growth, energy consumption and CO2 emissions in Gulf Cooperation Council countries," Energy, Elsevier, vol. 73(C), pages 44-58.
    291. Chandran, V.G.R. & Tang, Chor Foon, 2013. "The impacts of transport energy consumption, foreign direct investment and income on CO2 emissions in ASEAN-5 economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 445-453.
    292. Chen, Ping-Yu & Chen, Sheng-Tung & Chen, Chi-Chung, 2012. "Energy consumption and economic growth—New evidence from meta analysis," Energy Policy, Elsevier, vol. 44(C), pages 245-255.
    293. Mohammad Nasre Esfahani & Ehsan Rasoulinezhad, 2016. "Will be there New CO2 Emitters in the Future? Evidence of Longrun Panel Co-integration for N-11 Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 463-470.
    294. Yan, Junna & Li, Yingzhu & Su, Bin & Ng, Tsan Sheng, 2022. "Contributors and drivers of Chinese energy use and intensity from regional and demand perspectives, 2012-2015-2017," Energy Economics, Elsevier, vol. 115(C).
    295. Feng, Chao & Wang, Miao & Liu, Guan-Chun & Huang, Jian-Bai, 2017. "Sources of economic growth in China from 2000–2013 and its further sustainable growth path: A three-hierarchy meta-frontier data envelopment analysis," Economic Modelling, Elsevier, vol. 64(C), pages 334-348.
    296. Suwin Sandu & Muyi Yang & Teuku Meurah Indra Mahlia & Wongkot Wongsapai & Hwai Chyuan Ong & Nandy Putra & S. M. Ashrafur Rahman, 2019. "Energy-Related CO 2 Emissions Growth in ASEAN Countries: Trends, Drivers and Policy Implications," Energies, MDPI, vol. 12(24), pages 1-15, December.
    297. Apergis, Nicholas & Gangopadhyay, Partha, 2020. "The asymmetric relationships between pollution, energy use and oil prices in Vietnam: Some behavioural implications for energy policy-making," Energy Policy, Elsevier, vol. 140(C).
    298. Abdelaziz Boukhelkhal, 2022. "Energy use, economic growth and CO2 emissions in Africa: does the environmental Kuznets curve hypothesis exist? New evidence from heterogeneous panel under cross-sectional dependence," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 13083-13110, November.
    299. Fan, Weiyang & Hao, Yu, 2020. "An empirical research on the relationship amongst renewable energy consumption, economic growth and foreign direct investment in China," Renewable Energy, Elsevier, vol. 146(C), pages 598-609.
    300. Konya Sevilay, 2022. "Panel Estimation of the Environmental Kuznets Curve for CO2 Emissions and Ecological Footprint: Environmental Sustainability in Developing Countries," Folia Oeconomica Stetinensia, Sciendo, vol. 22(2), pages 123-145, December.
    301. Begum, Rawshan Ara & Sohag, Kazi & Abdullah, Sharifah Mastura Syed & Jaafar, Mokhtar, 2015. "CO2 emissions, energy consumption, economic and population growth in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 594-601.
    302. Muhammad Aslam & Wajid Alim & Naeem Khan, 2022. "Nexus between Capital Flows and Economic Growth: An Evidence from South Asian Countries," Journal of Economic Impact, Science Impact Publishers, vol. 4(2), pages 14-21.
    303. Qiang Du & Min Wu & Yadan Xu & Xinran Lu & Libiao Bai & Ming Yu, 2018. "Club convergence and spatial distribution dynamics of carbon intensity in China’s construction industry," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(2), pages 519-536, November.
    304. Syed Abdul Rehman Khan & Danish Iqbal Godil & Muhammad Umer Quddoos & Zhang Yu & Muhammad Hanif Akhtar & Zijing Liang, 2021. "Investigating the nexus between energy, economic growth, and environmental quality: A road map for the sustainable development," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(5), pages 835-846, September.

  120. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.

    Cited by:

    1. Moriah Bostian & Rolf Färe & Shawna Grosskopf & Tommy Lundgren & William L. Weber, 2018. "Time substitution for environmental performance: The case of Swedish manufacturing," Empirical Economics, Springer, vol. 54(1), pages 129-152, February.
    2. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
    3. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    4. Pan Wanbin & Huang Lei & Zhao Linlin, 2017. "An Integrated DEA Model Allowing Decomposition of Eco-Efficiency: A Case Study of China," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 473-488, October.
    5. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
    6. Konstantinos Petridis, 2022. "Spatio-temporal efficiency measurement under undesirable outputs using multi-objective programming: a GAMS representation," Annals of Operations Research, Springer, vol. 311(2), pages 1183-1202, April.
    7. Feng Dong & Ruyin Long & Hong Chen & Xiaohui Li & Qingliang Yang, 2013. "Factors Affecting Regional Per-Capita Carbon Emissions in China Based on an LMDI Factor Decomposition Model," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-10, December.
    8. Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.
    9. Khalid Mehmood & Yaser Iftikhar & Shouming Chen & Shaheera Amin & Alia Manzoor & Jinlong Pan, 2020. "Analysis of Inter-Temporal Change in the Energy and CO 2 Emissions Efficiency of Economies: A Two Divisional Network DEA Approach," Energies, MDPI, vol. 13(13), pages 1-17, June.
    10. Haoyue Wu & Jin Tang & Hanjiao Huang & Wenkuan Chen & Yue Meng, 2021. "Net Carbon Sequestration Performance of Cropland Use in China’s Principal Grain-Producing Area: An Evaluation and Spatiotemporal Divergence," Land, MDPI, vol. 10(7), pages 1-19, July.
    11. Jaraite, Jurate & Di Maria, Corrado, 2011. "Efficiency, Productivity and Environmental Policy: A Case Study of Power Generation in the EU," CERE Working Papers 2011:3, CERE - the Center for Environmental and Resource Economics.
    12. Xu, Mengmeng & Lin, Boqiang & Wang, Siquan, 2021. "Towards energy conservation by improving energy efficiency? Evidence from China’s metallurgical industry," Energy, Elsevier, vol. 216(C).
    13. Junjun Tang & Xing Zhao, 2023. "Does the new digital infrastructure improve total factor productivity?," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 895-916, October.
    14. Sheng, Pengfei & Li, Jun & Zhai, Mengxin & Huang, Shoujun, 2020. "Coupling of economic growth and reduction in carbon emissions at the efficiency level: Evidence from China," Energy, Elsevier, vol. 213(C).
    15. Thomas Grebel, 2019. "What a difference carbon leakage correction makes!," Journal of Evolutionary Economics, Springer, vol. 29(3), pages 939-971, July.
    16. Xu, Xiaoliang & Xu, Xuefen & Chen, Qian & Che, Ying, 2018. "The impacts on CO2 emission reduction and haze by coal resource tax reform based on dynamic CGE model," Resources Policy, Elsevier, vol. 58(C), pages 268-276.
    17. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    18. Song, Wenfei & Han, Xianfeng, 2022. "The bilateral effects of foreign direct investment on green innovation efficiency: Evidence from 30 Chinese provinces," Energy, Elsevier, vol. 261(PB).
    19. Wei, Yigang & Li, Yan & Wu, Meiyu & Li, Yingbo, 2019. "The decomposition of total-factor CO2 emission efficiency of 97 contracting countries in Paris Agreement," Energy Economics, Elsevier, vol. 78(C), pages 365-378.
    20. Lin, Boqiang & Li, Zheng, 2022. "Towards world's low carbon development: The role of clean energy," Applied Energy, Elsevier, vol. 307(C).
    21. Ouyang, Xiaoling & Sun, Chuanwang, 2015. "Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency," Energy Economics, Elsevier, vol. 48(C), pages 117-126.
    22. Majumdar, Devleena & Kar, Saibal, 2017. "Does technology diffusion help to reduce emission intensity? Evidence from organized manufacturing and agriculture in India," Resource and Energy Economics, Elsevier, vol. 48(C), pages 30-41.
    23. Chung, Yeimin & Heshmati, Almas, 2013. "Measurement of Environmentally Sensitive Productivity Growth in Korean Industries," IZA Discussion Papers 7235, Institute of Labor Economics (IZA).
    24. Chen, Chien-Ming, 2013. "A critique of non-parametric efficiency analysis in energy economics studies," Energy Economics, Elsevier, vol. 38(C), pages 146-152.
    25. Tan, Xiujie & Choi, Yongrok & Wang, Banban & Huang, Xiaoqi, 2020. "Does China's carbon regulatory policy improve total factor carbon efficiency? A fixed-effect panel stochastic frontier analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    26. Tian, Lixin & Jin, Rulei, 2012. "Theoretical exploration of carbon emissions dynamic evolutionary system and evolutionary scenario analysis," Energy, Elsevier, vol. 40(1), pages 376-386.
    27. Zhou, P. & Delmas, M.A. & Kohli, A., 2017. "Constructing meaningful environmental indices: A nonparametric frontier approach," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 21-34.
    28. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali, 2015. "A new slacks-based measure of Malmquist–Luenberger index in the presence of undesirable outputs," Omega, Elsevier, vol. 51(C), pages 29-37.
    29. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Marginal Rate of Transformation and Rate of Substitution measured by DEA environmental assessment: Comparison among European and North American nations," Energy Economics, Elsevier, vol. 56(C), pages 270-287.
    30. Liu, Xiao & Zhou, Dequn & Zhou, Peng & Wang, Qunwei, 2017. "What drives CO2 emissions from China’s civil aviation? An exploration using a new generalized PDA method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 30-45.
    31. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    32. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
    33. You, Jianmin & Zhang, Wei, 2022. "How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China's industries," Energy, Elsevier, vol. 247(C).
    34. Qiongzhi Liu & Jun Hao, 2022. "Regional Differences and Influencing Factors of Carbon Emission Efficiency in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(8), pages 1-15, April.
    35. Liu, Yiming & Hao, Yu & Gao, Yixuan, 2017. "The environmental consequences of domestic and foreign investment: Evidence from China," Energy Policy, Elsevier, vol. 108(C), pages 271-280.
    36. DiMaria, Charles Henri & Peroni, Chiara & Sarracino, Francesco, 2014. "Happiness matters: the role of well-being in productivity," MPRA Paper 56983, University Library of Munich, Germany.
    37. Shaolong Zeng & Minglin Wang, 2023. "Theoretical and empirical analyses on the factors affecting carbon emissions: case of Zhejiang Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2522-2549, March.
    38. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    39. Sueyoshi, Toshiyuki & Goto, Mika, 2013. "A comparative study among fossil fuel power plants in PJM and California ISO by DEA environmental assessment," Energy Economics, Elsevier, vol. 40(C), pages 130-145.
    40. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
    41. Ma, Yu & Zhang, Tingting & Qian, Wenyu & Wei, Danqi, 2022. "Financial development, demographic changes, and the growth of the non-hydro renewable energy Industry—An empirical test based on R&D and financing costs," Renewable Energy, Elsevier, vol. 185(C), pages 217-229.
    42. Zheming Yan & Lan Yi & Kerui Du & Zhiming Yang, 2017. "Impacts of Low-Carbon Innovation and Its Heterogeneous Components on CO 2 Emissions," Sustainability, MDPI, vol. 9(4), pages 1-14, April.
    43. Li, Tianxiang & Baležentis, Tomas & Makutėnienė, Daiva & Streimikiene, Dalia & Kriščiukaitienė, Irena, 2016. "Energy-related CO2 emission in European Union agriculture: Driving forces and possibilities for reduction," Applied Energy, Elsevier, vol. 180(C), pages 682-694.
    44. Huimin Zhou & Pei Wang & Chengxin Wang & Xiangzheng Deng & Kai Liu, 2019. "Investigation of a spatial coupling relationship between carbon emission performance and regional urbanization in China," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-22, September.
    45. Bian, Yiwen & Hu, Miao & Wang, Yousen & Xu, Hao, 2016. "Energy efficiency analysis of the economic system in China during 1986–2012: A parallel slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 990-998.
    46. Wang, Zhaohua & He, Weijun & Wang, Bo, 2017. "Performance and reduction potential of energy and CO2 emissions among the APEC's members with considering the return to scale," Energy, Elsevier, vol. 138(C), pages 552-562.
    47. Sueyoshi, Toshiyuki & Goto, Mika, 2015. "DEA environmental assessment in time horizon: Radial approach for Malmquist index measurement on petroleum companies," Energy Economics, Elsevier, vol. 51(C), pages 329-345.
    48. Zhang, Lina & Gao, Wanting & Chiu, Yung-ho & Pang, Qinghua & Shi, Zhen & Guo, Zhiqin, 2021. "Environmental performance indicators of China's coal mining industry: A bootstrapping Malmquist index analysis," Resources Policy, Elsevier, vol. 71(C).
    49. Lin, Boqiang & Bai, Rui, 2020. "Dynamic energy performance evaluation of Chinese textile industry," Energy, Elsevier, vol. 199(C).
    50. Pombo, Carlos & Taborda, Rodrigo, 2006. "Performance and efficiency in Colombia's power distribution system: Effects of the 1994 reform," Energy Economics, Elsevier, vol. 28(3), pages 339-369, May.
    51. Zhang, Yue-Jun & Liang, Ting & Jin, Yan-Lin & Shen, Bo, 2020. "The impact of carbon trading on economic output and carbon emissions reduction in China’s industrial sectors," Applied Energy, Elsevier, vol. 260(C).
    52. Fei, Rilong & Lin, Boqiang, 2017. "The integrated efficiency of inputs–outputs and energy – CO2 emissions performance of China's agricultural sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 668-676.
    53. Yang, Zhenbing & Fan, Meiting & Shao, Shuai & Yang, Lili, 2017. "Does carbon intensity constraint policy improve industrial green production performance in China? A quasi-DID analysis," Energy Economics, Elsevier, vol. 68(C), pages 271-282.
    54. Yue-Jun Zhang & Ya-Bin Da, 2013. "Decomposing the changes of energy-related carbon emissions in China: Evidence from the PDA approach," CEEP-BIT Working Papers 45, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    55. Runar Brännlund & Amin Karimu, 2018. "Convergence in global environmental performance: assessing heterogeneity," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 503-526, July.
    56. Jiangyue Joy Ying & Benjamin K. Sovacool, 2021. "A fair trade? Expert perceptions of equity, innovation, and public awareness in China’s future Emissions Trading Scheme," Climatic Change, Springer, vol. 164(3), pages 1-23, February.
    57. Dong, Feng & Li, Xiaohui & Long, Ruyin & Liu, Xiaoyan, 2013. "Regional carbon emission performance in China according to a stochastic frontier model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 525-530.
    58. Xianhong Xiang & Guoge Yang & Hui Sun, 2022. "The Impact of the Digital Economy on Low-Carbon, Inclusive Growth: Promoting or Restraining," Sustainability, MDPI, vol. 14(12), pages 1-27, June.
    59. Du, Kerui & Yu, Ying & Li, Jing, 2020. "Does international trade promote CO2 emission performance? An empirical analysis based on a partially linear functional-coefficient panel data model," Energy Economics, Elsevier, vol. 92(C).
    60. Feng, Chenpeng & Chu, Feng & Ding, Jingjing & Bi, Gongbing & Liang, Liang, 2015. "Carbon Emissions Abatement (CEA) allocation and compensation schemes based on DEA," Omega, Elsevier, vol. 53(C), pages 78-89.
    61. Pan, Xiongfeng & Guo, Shucen & Xu, Haitao & Tian, Mengyuan & Pan, Xianyou & Chu, Junhui, 2022. "China's carbon intensity factor decomposition and carbon emission decoupling analysis," Energy, Elsevier, vol. 239(PC).
    62. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    63. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    64. Long, Xingle & Zhao, Xicang & Cheng, Faxin, 2015. "The comparison analysis of total factor productivity and eco-efficiency in China's cement manufactures," Energy Policy, Elsevier, vol. 81(C), pages 61-66.
    65. Lin, Boqiang & Sai, Rockson, 2022. "Towards low carbon economy: Performance of electricity generation and emission reduction potential in Africa," Energy, Elsevier, vol. 251(C).
    66. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy & Weber, William L., 2016. "Time substitution for environmental performance: The case of Sweden manufacturing," CERE Working Papers 2016:3, CERE - the Center for Environmental and Resource Economics.
    67. Xian’En Wang & Shimeng Wang & Xipan Wang & Wenbo Li & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "The Assessment of Carbon Performance under the Region-Sector Perspective based on the Nonparametric Estimation: A Case Study of the Northern Province in China," Sustainability, MDPI, vol. 11(21), pages 1-23, October.
    68. Zhang, Yijun & Song, Yi, 2020. "Unified efficiency of coal mining enterprises in China: An analysis based on meta-frontier non-radial directional distance functions," Resources Policy, Elsevier, vol. 65(C).
    69. Younhee Kim & Dong-hyun Oh & Minah Kang, 2016. "Productivity changes in OECD healthcare systems: bias-corrected Malmquist productivity approach," International Journal of Health Planning and Management, Wiley Blackwell, vol. 31(4), pages 537-553, October.
    70. Masayuki Shimizu & Oscar Tiku, 2023. "Evaluation of environmental energy efficiency and its influencing factors: a prefecture-level analysis of Japanese manufacturing industries," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-26, December.
    71. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    72. Lin, Boqiang & Du, Kerui, 2015. "Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach," Energy Economics, Elsevier, vol. 49(C), pages 550-557.
    73. Makridou, Georgia & Andriosopoulos, Kostas & Doumpos, Michael & Zopounidis, Constantin, 2016. "Measuring the efficiency of energy-intensive industries across European countries," Energy Policy, Elsevier, vol. 88(C), pages 573-583.
    74. Wu, F. & Zhou, P. & Zhou, D.Q., 2020. "Modeling carbon emission performance under a new joint production technology with energy input," Energy Economics, Elsevier, vol. 92(C).
    75. Goto, Mika & Otsuka, Akihiro & Sueyoshi, Toshiyuki, 2014. "DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries," Energy, Elsevier, vol. 66(C), pages 535-549.
    76. Zhang, Ning & Choi, Yongrok, 2013. "A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and Korea," Energy Policy, Elsevier, vol. 62(C), pages 324-332.
    77. Sueyoshi, Toshiyuki & Goto, Mika, 2013. "DEA environmental assessment in a time horizon: Malmquist index on fuel mix, electricity and CO2 of industrial nations," Energy Economics, Elsevier, vol. 40(C), pages 370-382.
    78. Meng, F.Y. & Zhou, D.Q. & Zhou, P. & Bai, Y., 2014. "Sectoral comparison of electricity-saving potentials in China: An analysis based on provincial input–output tables," Energy, Elsevier, vol. 72(C), pages 772-782.
    79. Zhi-Fu Mi & Yi-Ming Wei & Chen-Qi He & Hua-Nan Li & Xiao-Chen Yuan & Hua Liao, 2017. "Regional efforts to mitigate climate change in China: a multi-criteria assessment approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(1), pages 45-66, January.
    80. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    81. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2016. "Environmental investment and firm performance: A network approach," Energy Economics, Elsevier, vol. 57(C), pages 243-255.
    82. Lee, Myunghun & Zhang, Ning, 2012. "Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries," Energy Economics, Elsevier, vol. 34(5), pages 1492-1497.
    83. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Weak and strong disposability vs. natural and managerial disposability in DEA environmental assessment: Comparison between Japanese electric power industry and manufacturing industries," Energy Economics, Elsevier, vol. 34(3), pages 686-699.
    84. Demiral, Elif E. & Sağlam, Ümit, 2021. "Eco-efficiency and Eco-productivity assessments of the states in the United States: A two-stage Non-parametric analysis," Applied Energy, Elsevier, vol. 303(C).
    85. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
    86. Yongjun Li & Wenhui Hou & Weiwei Zhu & Feng Li & Liang Liang, 2021. "Provincial carbon emission performance analysis in China based on a Malmquist data envelopment analysis approach with fixed-sum undesirable outputs," Annals of Operations Research, Springer, vol. 304(1), pages 233-261, September.
    87. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.
    88. Lin, Boqiang & Du, Kerui, 2014. "Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 129(C), pages 158-165.
    89. Jinchao Li & Yuwei Xiang & Huanyu Jia & Lin Chen, 2018. "Analysis of Total Factor Energy Efficiency and Its Influencing Factors on Key Energy-Intensive Industries in the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    90. Bian, Yiwen & He, Ping & Xu, Hao, 2013. "Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach," Energy Policy, Elsevier, vol. 63(C), pages 962-971.
    91. Xu, Le & Fan, Meiting & Yang, Lili & Shao, Shuai, 2021. "Heterogeneous green innovations and carbon emission performance: Evidence at China's city level," Energy Economics, Elsevier, vol. 99(C).
    92. Feng Dong & Ruyin Long & Zhengfu Bian & Xihui Xu & Bolin Yu & Ying Wang, 2017. "Applying a Ruggiero three-stage super-efficiency DEA model to gauge regional carbon emission efficiency: evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1453-1468, July.
    93. Sueyoshi, Toshiyuki & Goto, Mika & Sugiyama, Manabu, 2013. "DEA window analysis for environmental assessment in a dynamic time shift: Performance assessment of U.S. coal-fired power plants," Energy Economics, Elsevier, vol. 40(C), pages 845-857.
    94. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Returns to Scale and Damages to Scale with Strong Complementary Slackness Conditions in DEA Assessment: Japanese Corporate Effort on Environment Protection," Energy Economics, Elsevier, vol. 34(5), pages 1422-1434.
    95. Jung Youn Mo, 2023. "Do environmental policy and innovation improve carbon productivity? Evidence from the Korean Emission Trading Scheme," Energy & Environment, , vol. 34(3), pages 445-462, May.
    96. Sueyoshi, Toshiyuki & Yuan, Yan, 2015. "China's regional sustainability and diversified resource allocation: DEA environmental assessment on economic development and air pollution," Energy Economics, Elsevier, vol. 49(C), pages 239-256.
    97. Li, Aijun & Zhang, Aizhen & Huang, Huijie & Yao, Xin, 2018. "Measuring unified efficiency of fossil fuel power plants across provinces in China: An analysis based on non-radial directional distance functions," Energy, Elsevier, vol. 152(C), pages 549-561.
    98. Wendong Lv & Xiaoxin Hong & Kuangnan Fang, 2015. "Chinese regional energy efficiency change and its determinants analysis: Malmquist index and Tobit model," Annals of Operations Research, Springer, vol. 228(1), pages 9-22, May.
    99. Zhang, Yue-Jun & Sun, Ya-Fang & Huang, Junling, 2018. "Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment," Energy Policy, Elsevier, vol. 115(C), pages 119-130.
    100. Du, Zhili & Wang, Yao, 2022. "Does energy-saving and emission reduction policy affects carbon reduction performance? A quasi-experimental evidence in China," Applied Energy, Elsevier, vol. 324(C).
    101. F. Wu & P. Zhou & D. Zhou, 2015. "Measuring Energy Congestion in Chinese Industrial Sectors: A Slacks-Based DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 479-494, October.
    102. Du, Limin & Mao, Jie, 2015. "Estimating the environmental efficiency and marginal CO2 abatement cost of coal-fired power plants in China," Energy Policy, Elsevier, vol. 85(C), pages 347-356.
    103. Ke Wang & Yujiao Xian & Yi-Ming Wei & Zhimin Huang, 2016. "Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function," CEEP-BIT Working Papers 91, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    104. Hsiao-Yin Chen & Chin-wei Huang & Yung-Ho Chiu, 2017. "An intertemporal efficiency and technology measurement for tourist hotel," Journal of Productivity Analysis, Springer, vol. 48(1), pages 85-96, August.
    105. Hu, Rui & Skea, Jim & Hannon, Matthew J., 2018. "Measuring the energy innovation process: An indicator framework and a case study of wind energy in China," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 227-244.
    106. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    107. Ke-Liang Wang & Li-Li Ding & Jian-Min Wang & Mian Yang, 2020. "Analysis of provincial total-factor air pollution efficiency in China by using context-dependent slacks-based measure considering undesirable outputs," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1899-1921, November.
    108. Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    109. Pardo Martínez, Clara Inés, 2013. "An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 120-130.
    110. Yanan Chen & Sheng Lin, 2015. "Study on factors affecting energy-related per capita carbon dioxide emission by multi-sectoral of cities: a case study of Tianjin," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 833-846, June.
    111. Yao, Xin & Huang, Ruting & Du, Kerui, 2019. "The impacts of market power on power grid efficiency: Evidence from China," China Economic Review, Elsevier, vol. 55(C), pages 99-110.
    112. Chen, Xiang & Chen, Yong & Huang, Wenli & Zhang, Xuping, 2023. "A new Malmquist-type green total factor productivity measure: An application to China," Energy Economics, Elsevier, vol. 117(C).
    113. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    114. Grebel, Thomas & Islam, Rohidul, 2022. "Endogenous cap reduction in Emission Trading Systems," Ilmenau Economics Discussion Papers 169, Ilmenau University of Technology, Institute of Economics.
    115. Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.
    116. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Environmental assessment by DEA radial measurement: U.S. coal-fired power plants in ISO (Independent System Operator) and RTO (Regional Transmission Organization)," Energy Economics, Elsevier, vol. 34(3), pages 663-676.
    117. Bampatsou, Christina & Halkos, George, 2018. "Dynamics of productivity taking into consideration the impact of energy consumption and environmental degradation," Energy Policy, Elsevier, vol. 120(C), pages 276-283.
    118. Jinkai Li & Jingjing Ma & Wei Wei, 2020. "Analysis and Evaluation of the Regional Characteristics of Carbon Emission Efficiency for China," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
    119. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).
    120. Zhang, Zibin & Ye, Jianliang, 2015. "Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China," Energy Economics, Elsevier, vol. 47(C), pages 87-97.
    121. Feng, Rui & Shen, Chen & Huang, Liangxiong & Tang, Xuan, 2022. "Does trade in services improve carbon efficiency? —Analysis based on international panel data," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    122. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    123. Pang, Rui-zhi & Deng, Zhong-qi & Chiu, Yung-ho, 2015. "Pareto improvement through a reallocation of carbon emission quotas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 419-430.
    124. Zhang, Ning & Choi, Yongrok & Wang, Wei, 2019. "Does energy research funding work? Evidence from the Natural Science Foundation of China using TEI@I method," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 369-380.
    125. Zhou, Tao & Huang, Xuhui & Zhang, Ning, 2023. "The effect of innovation pilot on carbon total factor productivity: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 125(C).
    126. Zhou, Di & Huang, Qing & Chong, Zhaohui, 2022. "Analysis on the effect and mechanism of land misallocation on carbon emissions efficiency: Evidence from China," Land Use Policy, Elsevier, vol. 121(C).
    127. Tingting Wu & Junjun Chen & Chengchun Shi & Guidi Yang, 2023. "Carbon Emission Efficiency and Reduction Potential Based on Three-Stage Slacks-Based Measure with Data Envelopment Analysis and Malmquist at the City Scale in Fujian Province, China," Sustainability, MDPI, vol. 15(16), pages 1-15, August.
    128. Manello, Alessandro, 2017. "Productivity growth, environmental regulation and win–win opportunities: The case of chemical industry in Italy and Germany," European Journal of Operational Research, Elsevier, vol. 262(2), pages 733-743.
    129. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis," Energy Economics, Elsevier, vol. 48(C), pages 217-229.
    130. Yan, Zheming & Du, Keru & Yang, Zhiming & Deng, Min, 2017. "Convergence or divergence? Understanding the global development trend of low-carbon technologies," Energy Policy, Elsevier, vol. 109(C), pages 499-509.
    131. Wen-Chi Yang & Wen-Min Lu & Alagu Perumal Ramasamy, 2021. "International Environmental Efficiency Trends and the Impact of the Paris Agreement," Energies, MDPI, vol. 14(15), pages 1-16, July.
    132. Huang, Fei & Zhou, Dequn & Wang, Qunwei & Hang, Ye, 2019. "Decomposition and attribution analysis of the transport sector’s carbon dioxide intensity change in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 343-358.
    133. Xin Janet Ge & Xiaoxia Liu, 2021. "Urban Land Use Efficiency under Resource-Based Economic Transformation—A Case Study of Shanxi Province," Land, MDPI, vol. 10(8), pages 1-20, August.
    134. Hongze Li & FengYun Li & Xinhua Yu, 2018. "China’s Contributions to Global Green Energy and Low-Carbon Development: Empirical Evidence under the Belt and Road Framework," Energies, MDPI, vol. 11(6), pages 1-32, June.
    135. Agyeman, Stephen Duah & Lin, Boqiang, 2022. "Nonrenewable and renewable energy substitution, and low–carbon energy transition: Evidence from North African countries," Renewable Energy, Elsevier, vol. 194(C), pages 378-395.
    136. Decai Tang & Yan Zhang & Brandon J Bethel, 2020. "A Comprehensive Evaluation of Carbon Emission Reduction Capability in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 17(2), pages 1-16, January.
    137. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    138. Iftikhar, Yaser & Wang, Zhaohua & Zhang, Bin & Wang, Bo, 2018. "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, Elsevier, vol. 147(C), pages 197-207.
    139. Duan, Na & Guo, Jun-Peng & Xie, Bai-Chen, 2016. "Is there a difference between the energy and CO2 emission performance for China’s thermal power industry? A bootstrapped directional distance function approach," Applied Energy, Elsevier, vol. 162(C), pages 1552-1563.
    140. Ananda, Jayanath & Hampf, Benjamin, 2015. "Measuring environmentally sensitive productivity growth: An application to the urban water sector," Ecological Economics, Elsevier, vol. 116(C), pages 211-219.
    141. Fang, Delin & Chen, Bin, 2019. "Information-based ecological network analysis for carbon emissions," Applied Energy, Elsevier, vol. 238(C), pages 45-53.
    142. Chia-Nan Wang & Hong-Xuyen Thi Ho & Ming-Hsien Hsueh, 2017. "An Integrated Approach for Estimating the Energy Efficiency of Seventeen Countries," Energies, MDPI, vol. 10(10), pages 1-16, October.
    143. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    144. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    145. Fusco, Elisa & Vidoli, Francesco & Rogge, Nicky, 2020. "Spatial directional robust Benefit of the Doubt approach in presence of undesirable output: An application to Italian waste sector," Omega, Elsevier, vol. 94(C).
    146. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Returns to damage under undesirable congestion and damages to return under desirable congestion measured by DEA environmental assessment with multiplier restriction: Economic and energy planning for s," Energy Economics, Elsevier, vol. 56(C), pages 288-309.
    147. Zhou, X. & Fan, L.W. & Zhou, P., 2015. "Marginal CO2 abatement costs: Findings from alternative shadow price estimates for Shanghai industrial sectors," Energy Policy, Elsevier, vol. 77(C), pages 109-117.
    148. Ming Zhang & Wenwen Wang, 2014. "Analysis of spatial distribution of global energy-related CO 2 emissions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 165-171, September.
    149. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    150. Hailiang Ma & Chenling Shi & Nan-Ting Chou, 2016. "China’s Water Utilization Efficiency: An Analysis with Environmental Considerations," Sustainability, MDPI, vol. 8(6), pages 1-15, May.
    151. Fan, L.W. & Wu, F. & Zhou, P., 2014. "Efficiency measurement of Chinese airports with flight delays by directional distance function," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 140-145.
    152. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    153. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Efficiency-based rank assessment for electric power industry: A combined use of Data Envelopment Analysis (DEA) and DEA-Discriminant Analysis (DA)," Energy Economics, Elsevier, vol. 34(3), pages 634-644.
    154. Shimei Weng & Jianbao Chen, 2023. "How Does Industrial Upgrading Affect Carbon Productivity in China’s Service Industry?," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    155. Xie, Bai-Chen & Shang, Li-Feng & Yang, Si-Bo & Yi, Bo-Wen, 2014. "Dynamic environmental efficiency evaluation of electric power industries: Evidence from OECD (Organization for Economic Cooperation and Development) and BRIC (Brazil, Russia, India and China) countrie," Energy, Elsevier, vol. 74(C), pages 147-157.
    156. Tao Song & Xinling Zou & Nuo Wang & Danyang Zhang & Yuxiang Zhao & Erdan Wang, 2023. "Prediction of China’s Carbon Peak Attainment Pathway from Both Production-Side and Consumption-Side Perspectives," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    157. Fazil Gokgoz & Serap Pelin Turkoglu, 2017. "Investigating the energy efficiencies of OECD countries via a slack-based undesirable output model," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2017(3), pages 73-94.
    158. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    159. Song, Malin & Zhu, Shuai & Wang, Jianlin & Zhao, Jiajia, 2020. "Share green growth: Regional evaluation of green output performance in China," International Journal of Production Economics, Elsevier, vol. 219(C), pages 152-163.
    160. Siliang Guo & Yanhua Diao & Junliang Du, 2022. "Coupling Coordination Measurement and Evaluation of Urban Digitalization and Green Development in China," IJERPH, MDPI, vol. 19(22), pages 1-32, November.
    161. Xiaojia Guo & Xin Wang & Xueling Wu & Xingpeng Chen & Ya Li, 2022. "Carbon Emission Efficiency and Low-Carbon Optimization in Shanxi Province under “Dual Carbon” Background," Energies, MDPI, vol. 15(7), pages 1-14, March.
    162. Huang, Yuan & Yu, Qiang & Wang, Ruirui, 2021. "Driving factors and decoupling effect of carbon footprint pressure in China: Based on net primary production," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    163. Lin, Boqiang & Xu, Mengmeng, 2018. "Regional differences on CO2 emission efficiency in metallurgical industry of China," Energy Policy, Elsevier, vol. 120(C), pages 302-311.
    164. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    165. Lin, Boqiang & Sai, Rockson, 2021. "A multi factor Malmquist CO2emission performance indices: Evidence from Sub Saharan African public thermal power plants," Energy, Elsevier, vol. 223(C).
    166. Li, Wanghong & Li, Zhepeng & Liang, Liang & Cook, Wade D., 2017. "Evaluation of ecological systems and the recycling of undesirable outputs: An efficiency study of regions in China," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 77-86.
    167. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2015. "Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 51(C), pages 252-260.
    168. Jianglong Li & Boqiang Lin, 2016. "Green Economy Performance and Green Productivity Growth in China’s Cities: Measures and Policy Implication," Sustainability, MDPI, vol. 8(9), pages 1-21, September.
    169. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations," Energy Policy, Elsevier, vol. 108(C), pages 163-177.
    170. Yan, Zheming & Zou, Baoling & Du, Kerui & Li, Ke, 2020. "Do renewable energy technology innovations promote China's green productivity growth? Fresh evidence from partially linear functional-coefficient models," Energy Economics, Elsevier, vol. 90(C).
    171. Chiu, Ching-Ren & Liou, Je-Liang & Wu, Pei-Ing & Fang, Chen-Ling, 2012. "Decomposition of the environmental inefficiency of the meta-frontier with undesirable output," Energy Economics, Elsevier, vol. 34(5), pages 1392-1399.
    172. Lin, Boqiang & Sai, Rockson, 2022. "Sustainable transitioning in Africa: A historical evaluation of energy productivity changes and determinants," Energy, Elsevier, vol. 250(C).
    173. Senchang Hu & Shaoyi Li & Xiangxin Meng & Yingzheng Peng & Wenzhe Tang, 2023. "Study on Regional Differences of Carbon Emission Efficiency: Evidence from Chinese Construction Industry," Energies, MDPI, vol. 16(19), pages 1-20, September.
    174. Fan Zhang & Gui Jin & Junlong Li & Chao Wang & Ning Xu, 2020. "Study on Dynamic Total Factor Carbon Emission Efficiency in China’s Urban Agglomerations," Sustainability, MDPI, vol. 12(7), pages 1-17, March.
    175. Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
    176. Nabavieh, Alireza & Gholamiangonabadi, Davoud & Ahangaran, Ali Asghar, 2015. "Dynamic changes in CO2 emission performance of different types of Iranian fossil-fuel power plants," Energy Economics, Elsevier, vol. 52(PA), pages 142-150.
    177. Young-Tae Chang & Nan Zhang, 2017. "Environmental efficiency of transportation sectors in China and Korea," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(1), pages 68-93, March.
    178. Hanxin Wang & Weiqian Liu & Yi Liang, 2023. "Measurement of CO 2 Emissions Efficiency and Analysis of Influencing Factors of the Logistics Industry in Nine Coastal Provinces of China," Sustainability, MDPI, vol. 15(19), pages 1-21, October.
    179. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    180. Kuang, Yunming & Lin, Boqiang, 2022. "Natural gas resource utilization, environmental policy and green economic development: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    181. Huan Zhang & Kangning Xu, 2016. "Impact of Environmental Regulation and Technical Progress on Industrial Carbon Productivity: An Approach Based on Proxy Measure," Sustainability, MDPI, vol. 8(8), pages 1-15, August.
    182. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    183. Zhu, Runqing & Lin, Boqiang, 2021. "Energy and carbon performance improvement in China's mining Industry:Evidence from the 11th and 12th five-year plan," Energy Policy, Elsevier, vol. 154(C).
    184. Ding, Tao & Yang, Jie & Wu, Huaqing & Liang, Liang, 2022. "Land use efficiency and technology gaps of urban agglomerations in China: An extended non-radial meta-frontier approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    185. Geraldine Henningsen & Arne Henningsen & Sascha T. Schröder & Simon Bolwig, 2014. "The Development of Environmental Productivity: the Case of Danish Energy Plants," IFRO Working Paper 2014/04, University of Copenhagen, Department of Food and Resource Economics.
    186. Lin, Boqiang & Du, Kerui, 2013. "Technology gap and China's regional energy efficiency: A parametric metafrontier approach," Energy Economics, Elsevier, vol. 40(C), pages 529-536.
    187. Lyu, Peng-hui & Ngai, Eric W.T. & Wu, Pei-yi, 2019. "Scientific data-driven evaluation on academic articles of low-carbon economy," Energy Policy, Elsevier, vol. 125(C), pages 358-367.
    188. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    189. Ling Wang & Zhongchang Chen & Dalai Ma & Pei Zhao, 2013. "Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis," Sustainability, MDPI, vol. 5(12), pages 1-14, December.
    190. Shiming Yang & Jianlin Jia, 2022. "Digital Economy, Technological Innovation, and Environmental Quality Improvement," Sustainability, MDPI, vol. 14(22), pages 1-15, November.
    191. Minyoung Yang & Jinsoo Kim, 2022. "A Critical Review of the Definition and Estimation of Carbon Efficiency," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    192. Li, Zhi & Ouyang, Xiaoling & Du, Kerui & Zhao, Yang, 2017. "Does government transparency contribute to improved eco-efficiency performance? An empirical study of 262 cities in China," Energy Policy, Elsevier, vol. 110(C), pages 79-89.
    193. Ching-Ren Chiu & Ming-Chung Chang & Jin-Li Hu, 2022. "Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries," Journal of Productivity Analysis, Springer, vol. 57(3), pages 297-311, June.
    194. Xing Zhao & Xin Zhang, 2022. "Research on the Evaluation and Regional Differences in Carbon Emissions Efficiency of Cultural and Related Manufacturing Industries in China’s Yangtze River Basin," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    195. Lina Sineviciene & Iryna Sotnyk & Oleksandr Kubatko, 2017. "Determinants of energy efficiency and energy consumption of Eastern Europe post-communist economies," Energy & Environment, , vol. 28(8), pages 870-884, December.
    196. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
    197. Fan, Meiting & Shao, Shuai & Yang, Lili, 2015. "Combining global Malmquist–Luenberger index and generalized method of moments to investigate industrial total factor CO2 emission performance: A case of Shanghai (China)," Energy Policy, Elsevier, vol. 79(C), pages 189-201.
    198. Kejia Yang & Yalin Lei, 2017. "The carbon dioxide marginal abatement cost calculation of Chinese provinces based on stochastic frontier analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(1), pages 505-521, January.
    199. Xu, Mengmeng & Lin, Boqiang, 2022. "Energy efficiency gains from distortion mitigation: A perspective on the metallurgical industry," Resources Policy, Elsevier, vol. 77(C).
    200. Xu Zhang & Huaping Sun & Taohong Wang, 2022. "Impact of Financial Inclusion on the Efficiency of Carbon Emissions: Evidence from 30 Provinces in China," Energies, MDPI, vol. 15(19), pages 1-15, October.
    201. Jianqing Zhang & Haichao Yu & Keke Zhang & Liang Zhao & Fei Fan, 2021. "Can Innovation Agglomeration Reduce Carbon Emissions? Evidence from China," IJERPH, MDPI, vol. 18(2), pages 1-24, January.
    202. Woo, Chungwon & Chung, Yanghon & Chun, Dongphil & Seo, Hangyeol & Hong, Sungjun, 2015. "The static and dynamic environmental efficiency of renewable energy: A Malmquist index analysis of OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 367-376.
    203. Chia-Nan Wang & Hector Tibo & Duy Hung Duong, 2020. "Renewable Energy Utilization Analysis of Highly and Newly Industrialized Countries Using an Undesirable Output Model," Energies, MDPI, vol. 13(10), pages 1-21, May.
    204. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "DEA radial and non-radial models for unified efficiency under natural and managerial disposability: Theoretical extension by strong complementary slackness conditions," Energy Economics, Elsevier, vol. 34(3), pages 700-713.
    205. Takayabu, Hirotaka, 2020. "CO2 mitigation potentials in manufacturing sectors of 26 countries," Energy Economics, Elsevier, vol. 86(C).
    206. Long, Xingle & Sun, Mei & Cheng, Faxin & Zhang, Jijian, 2017. "Convergence analysis of eco-efficiency of China’s cement manufacturers through unit root test of panel data," Energy, Elsevier, vol. 134(C), pages 709-717.
    207. Ma-Lin Song & Yuan-Xiang Zhou, 2015. "Analysis of Carbon Emissions and Their Influence Factors Based on Data from Anhui of China," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 359-374, October.
    208. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    209. Grebel, Thomas & Stützer, Michael, 2014. "Assessment of the environmental performance of European countries over time: Addressing the role of carbon leakage and nuclear waste," Ilmenau Economics Discussion Papers 90, Ilmenau University of Technology, Institute of Economics.
    210. Huang, Fei & Zhou, Dequn & Hu, Jin-Li & Wang, Qunwei, 2020. "Integrated airline productivity performance evaluation with CO2 emissions and flight delays," Journal of Air Transport Management, Elsevier, vol. 84(C).
    211. Riccardi, R. & Oggioni, G. & Toninelli, R., 2012. "Efficiency analysis of world cement industry in presence of undesirable output: Application of data envelopment analysis and directional distance function," Energy Policy, Elsevier, vol. 44(C), pages 140-152.
    212. Jianmin You & Xiqiang Chen & Jindao Chen, 2021. "Decomposition of Industrial Electricity Efficiency and Electricity-Saving Potential of Special Economic Zones in China Considering the Heterogeneity of Administrative Hierarchy and Regional Location," Energies, MDPI, vol. 14(17), pages 1-22, September.
    213. Weibin Lin & Jin Yang & Bin Chen, 2011. "Temporal and Spatial Analysis of Integrated Energy and Environment Efficiency in China Based on a Green GDP Index," Energies, MDPI, vol. 4(9), pages 1-15, September.
    214. Qizhen Wang & Qian Zhang, 2022. "Foreign Direct Investment and Carbon Emission Efficiency: The Role of Direct and Indirect Channels," Sustainability, MDPI, vol. 14(20), pages 1-23, October.
    215. Wang, Zhaohua & Feng, Chao & Zhang, Bin, 2014. "An empirical analysis of China's energy efficiency from both static and dynamic perspectives," Energy, Elsevier, vol. 74(C), pages 322-330.
    216. Zhang, Pingdan & Yuan, Haoming & Bai, Fuli & Tian, Xin & Shi, Feng, 2018. "How do carbon dioxide emissions respond to industrial structural transitions? Empirical results from the northeastern provinces of China," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 145-154.
    217. Zhang, Bin & Lu, Danting & He, Yan & Chiu, Yung-ho, 2018. "The efficiencies of resource-saving and environment: A case study based on Chinese cities," Energy, Elsevier, vol. 150(C), pages 493-507.
    218. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    219. Ke Wang & Yi-Ming Wei, 2014. "China's regional industrial energy efficiency and carbon emissions abatement costs," CEEP-BIT Working Papers 64, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    220. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    221. Oh, Dong-hyun & Heshmati, Almas, 2010. "A sequential Malmquist-Luenberger productivity index: Environmentally sensitive productivity growth considering the progressive nature of technology," Energy Economics, Elsevier, vol. 32(6), pages 1345-1355, November.
    222. Dongri Han & Tuochen Li & Shaosong Feng & Ziyi Shi, 2020. "Application of Threshold Regression Analysis to Study the Impact of Clean Energy Development on China’s Carbon Productivity," IJERPH, MDPI, vol. 17(3), pages 1-16, February.
    223. Hongxu Guo & Zihan Xie & Rong Wu, 2021. "Evaluating Green Innovation Efficiency and Its Socioeconomic Factors Using a Slack-Based Measure with Environmental Undesirable Outputs," IJERPH, MDPI, vol. 18(24), pages 1-20, December.
    224. Nelson Amowine & Zhiqiang Ma & Mingxing Li & Zhixiang Zhou & Benjamin Azembila Asunka & James Amowine, 2019. "Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach," Energies, MDPI, vol. 12(20), pages 1-17, October.
    225. Song, Yi & Huang, Jian-Bai & Feng, Chao, 2018. "Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 59(C), pages 103-116.
    226. Sheinbaum-Pardo, Claudia, 2016. "Decomposition analysis from demand services to material production: The case of CO2 emissions from steel produced for automobiles in Mexico," Applied Energy, Elsevier, vol. 174(C), pages 245-255.
    227. Juan Du & Yongrui Duan & Jinghua Xu, 2019. "The infeasible problem of Malmquist–Luenberger index and its application on China’s environmental total factor productivity," Annals of Operations Research, Springer, vol. 278(1), pages 235-253, July.
    228. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    229. Du, Minzhe & Liu, Yunxiao & Wang, Bing & Lee, Myunghun & Zhang, Ning, 2021. "The sources of regulated productivity in Chinese power plants: An estimation of the restricted cost function combined with DEA approach," Energy Economics, Elsevier, vol. 100(C).
    230. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    231. Molinos-Senante, María & Hernández-Sancho, Francesc & Mocholí-Arce, Manuel & Sala-Garrido, Ramón, 2014. "Economic and environmental performance of wastewater treatment plants: Potential reductions in greenhouse gases emissions," Resource and Energy Economics, Elsevier, vol. 38(C), pages 125-140.
    232. Jin Zhu & Huaping Sun & Dequn Zhou & Lin Peng & Chuanwang Sun, 2020. "Carbon emission efficiency of thermal power in different regions of China and spatial correlations," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1221-1242, October.
    233. Yi Chai & Xueqin Lin & Dai Wang, 2021. "Industrial Structure Transformation and Layout Optimization of Beijing-Tianjin-Hebei Region under Carbon Emission Constraints," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    234. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    235. Yin, Pengzhen & Sun, Jiasen & Chu, Junfei & Liang, Liang, 2016. "Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspectiveAuthor-Name: Wu, Jie," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1047-1062.
    236. Zhang, Ning & Wang, Bing, 2015. "A deterministic parametric metafrontier Luenberger indicator for measuring environmentally-sensitive productivity growth: A Korean fossil-fuel power case," Energy Economics, Elsevier, vol. 51(C), pages 88-98.
    237. Jie Zhang & Zhencheng Xing & Jigan Wang, 2016. "Analysis of CO 2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China," Sustainability, MDPI, vol. 8(7), pages 1-15, July.
    238. Liu, Xiaohong & Yang, Jiangjiang & Xu, Chengzhen & Li, Xingchen & Zhu, Qingyuan, 2023. "Environmental regulation efficiency analysis by considering regional heterogeneity," Resources Policy, Elsevier, vol. 83(C).
    239. Wang, Q.W. & Zhou, P. & Shen, N. & Wang, S.S., 2013. "Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 324-330.
    240. Chen, Jiandong & Fan, Wei & Li, Ding & Liu, Xin & Song, Malin, 2020. "Driving factors of global carbon footprint pressure: Based on vegetation carbon sequestration," Applied Energy, Elsevier, vol. 267(C).
    241. Sanz-Díaz, María Teresa & Velasco-Morente, Francisco & Yñiguez, Rocío & Díaz-Calleja, Emilio, 2017. "An analysis of Spain's global and environmental efficiency from a European Union perspective," Energy Policy, Elsevier, vol. 104(C), pages 183-193.
    242. Rongxin Wu & Boqiang Lin, 2022. "Does Energy Efficiency Realize Energy Conservation in the Iron and Steel Industry? A Perspective of Energy Rebound Effect," IJERPH, MDPI, vol. 19(18), pages 1-20, September.
    243. Wang, Jianda & Dong, Kangyin & Sha, Yezhou & Yan, Cheng, 2022. "Envisaging the carbon emissions efficiency of digitalization: The case of the internet economy for China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    244. Bampatsou, Christina & Halkos, George & Beneki, Christina, 2021. "Energy and material flow management to improve EU productivity," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 83-93.
    245. Ying Xie & Minglong Zhang, 2023. "Influence of Clean Energy and Financial Structure on China’s Provincial Carbon Emission Efficiency—Empirical Analysis Based on Spatial Spillover Effects," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
    246. Jiao Wang & Zhenliang Liao & Hui Sun, 2023. "Analysis of Carbon Emission Efficiency in the Yellow River Basin in China: Spatiotemporal Differences and Influencing Factors," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    247. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    248. Chen, Weidong & Geng, Wenxin, 2017. "Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input," Energy, Elsevier, vol. 120(C), pages 283-292.
    249. Peroni, Chiara, 2012. "Environmental efficiency indices: towards a new approach to green-growth accounting," MPRA Paper 38671, University Library of Munich, Germany, revised 27 Apr 2012.
    250. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    251. Feng, Chao & Wang, Miao & Liu, Guan-Chun & Huang, Jian-Bai, 2017. "Sources of economic growth in China from 2000–2013 and its further sustainable growth path: A three-hierarchy meta-frontier data envelopment analysis," Economic Modelling, Elsevier, vol. 64(C), pages 334-348.
    252. Shen, Neng & Peng, Hui & Wang, Qunwei, 2021. "Spatial dependence, agglomeration externalities and the convergence of carbon productivity," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    253. Wang, Qunwei & Su, Bin & Zhou, Peng & Chiu, Ching-Ren, 2016. "Measuring total-factor CO2 emission performance and technology gaps using a non-radial directional distance function: A modified approach," Energy Economics, Elsevier, vol. 56(C), pages 475-482.
    254. Bo Li & Jing Liu & Qian Liu & Muhammad Mohiuddin, 2022. "The Effects of Broadband Infrastructure on Carbon Emission Efficiency of Resource-Based Cities in China: A Quasi-Natural Experiment from the “Broadband China” Pilot Policy," IJERPH, MDPI, vol. 19(11), pages 1-27, May.
    255. Guo, Xiao-Dan & Zhu, Lei & Fan, Ying & Xie, Bai-Chen, 2011. "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, Elsevier, vol. 39(5), pages 2352-2360, May.
    256. Lena, Daniela & Pasurka, Carl A. & Cucculelli, Marco, 2022. "Environmental regulation and green productivity growth: Evidence from Italian manufacturing industries," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    257. Xi Chen & Zhigang Chen, 2021. "Can Green Finance Development Reduce Carbon Emissions? Empirical Evidence from 30 Chinese Provinces," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    258. Xiuqing Zou & Tianyue Ge & Sheng Xing, 2023. "Impact of the Urban-Rural Income Disparity on Carbon Emission Efficiency Based on a Dual Perspective of Consumption Level and Structure," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    259. Ling, Yantao & Xia, Senmao & Cao, Mengqiu & He, Kerun & Lim, Ming K. & Sukumar, Arun & Yi, Huiyong & Qian, Xiaoduo, 2021. "Carbon emissions in China's thermal electricity and heating industry: an input-output structural decomposition analysis," LSE Research Online Documents on Economics 112930, London School of Economics and Political Science, LSE Library.
    260. Linlin Zhao & Yong Zha & Kangning Wei & Liang Liang, 2017. "A target-based method for energy saving and carbon emissions reduction in China based on environmental data envelopment analysis," Annals of Operations Research, Springer, vol. 255(1), pages 277-300, August.

  121. Su, Bin & Huang, H.C. & Ang, B.W. & Zhou, P., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of sector aggregation," Energy Economics, Elsevier, vol. 32(1), pages 166-175, January.

    Cited by:

    1. Das, Aparna & Paul, Saikat Kumar, 2014. "CO2 emissions from household consumption in India between 1993–94 and 2006–07: A decomposition analysis," Energy Economics, Elsevier, vol. 41(C), pages 90-105.
    2. Li, Jia Shuo & Zhou, H.W. & Meng, Jing & Yang, Q. & Chen, B. & Zhang, Y.Y., 2018. "Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city," Applied Energy, Elsevier, vol. 226(C), pages 1076-1086.
    3. Xiaoyu Liu & Xian’en Wang & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "Why Are the Carbon Footprints of China’s Urban Households Rising? An Input–Output Analysis and Structural Decomposition Analysis," Sustainability, MDPI, vol. 11(24), pages 1-18, December.
    4. Xu, Xueliu & Mu, Mingjie & Wang, Qian, 2017. "Recalculating CO2 emissions from the perspective of value-added trade: An input-output analysis of China's trade data," Energy Policy, Elsevier, vol. 107(C), pages 158-166.
    5. Pothen, Frank, 2017. "A structural decomposition of global Raw Material Consumption," Ecological Economics, Elsevier, vol. 141(C), pages 154-165.
    6. Su, Bin & Ang, B.W. & Sun, Ya-Fang, 2022. "Input-output analysis of embodied emissions: Impacts of imports data treatment on emission drivers," Energy Economics, Elsevier, vol. 107(C).
    7. Eivind Lekve Bjelle & Johannes Többen & Konstantin Stadler & Thomas Kastner & Michaela C. Theurl & Karl-Heinz Erb & Kjartan-Steen Olsen & Kirsten S. Wiebe & Richard Wood, 2020. "Adding country resolution to EXIOBASE: impacts on land use embodied in trade," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-25, December.
    8. Mizgajski Jan T., 2012. "The Impact of Polish-German Trade Flows on CO2 Emissions," Folia Oeconomica Stetinensia, Sciendo, vol. 11(1), pages 152-164, January.
    9. Xie Zeqiong & He Junfei, 2022. "Decomposition and sector aggregation analysis of indirect household carbon emission indicators: a case study of Guangdong Province in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6903-6924, May.
    10. Tao Lin & Junna Yan, 2017. "Investigating the sensitivity factors of household indirect CO2 emission from the production side," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 721-740, September.
    11. Hawkins, Jacob & Ma, Chunbo & Schilizzi, Steven & Zhang, Fan, 2015. "Promises and pitfalls in environmentally extended input-output analysis for China: a survey of the literature," Working Papers 200175, University of Western Australia, School of Agricultural and Resource Economics.
    12. Yan, Junna & Su, Bin, 2020. "Spatial differences in energy performance among four municipalities of China: From both the aggregate and final demand perspectives," Energy, Elsevier, vol. 204(C).
    13. Misato Sato, 2014. "Embodied Carbon In Trade: A Survey Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 831-861, December.
    14. Suvajit Banerjee, 2021. "Addressing the carbon emissions embodied in India’s bilateral trade with two eminent Annex-II parties: with input–output and spatial decomposition analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5430-5464, April.
    15. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    16. David Font Vivanco & Ranran Wang & Sebastiaan Deetman & Edgar Hertwich, 2019. "Unraveling the Nexus: Exploring the Pathways to Combined Resource Use," Journal of Industrial Ecology, Yale University, vol. 23(1), pages 241-252, February.
    17. Mingxiang Deng & Wei Li & Yan Hu, 2016. "Decomposing Industrial Energy-Related CO 2 Emissions in Yunnan Province, China: Switching to Low-Carbon Economic Growth," Energies, MDPI, vol. 9(1), pages 1-19, January.
    18. Hertwich, Edgar G., 2020. "Carbon fueling complex global value chains tripled in the period 1995–2012," Energy Economics, Elsevier, vol. 86(C).
    19. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    20. Zhang, Lulu & Yu, Chang & Cheng, Baodong & Yang, Chao & Chang, Yuan, 2020. "Mitigating climate change by global timber carbon stock: Accounting, flow and allocation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    21. Guo, Ju’e & Zhang, Zengkai & Meng, Lei, 2012. "China’s provincial CO2 emissions embodied in international and interprovincial trade," Energy Policy, Elsevier, vol. 42(C), pages 486-497.
    22. Su, Bin & Ang, B.W. & Low, Melissa, 2013. "Input–output analysis of CO2 emissions embodied in trade and the driving forces: Processing and normal exports," Ecological Economics, Elsevier, vol. 88(C), pages 119-125.
    23. Zhu, Bangzhu & Su, Bin & Li, Yingzhu, 2018. "Input-output and structural decomposition analysis of India’s carbon emissions and intensity, 2007/08 – 2013/14," Applied Energy, Elsevier, vol. 230(C), pages 1545-1556.
    24. Hauke Ward & Leonie Wenz & Jan C. Steckel & Jan C. Minx, 2018. "Truncation Error Estimates in Process Life Cycle Assessment Using Input‐Output Analysis," Journal of Industrial Ecology, Yale University, vol. 22(5), pages 1080-1091, October.
    25. Jing Li & Hong Fang & Siran Fang & Zhiming Zhang & Pengyuan Zhang, 2021. "Embodied Energy Use in China’s Transportation Sector: A Multi-Regional Input–Output Analysis," IJERPH, MDPI, vol. 18(15), pages 1-18, July.
    26. Su, Bin & Thomson, Elspeth, 2016. "China's carbon emissions embodied in (normal and processing) exports and their driving forces, 2006–2012," Energy Economics, Elsevier, vol. 59(C), pages 414-422.
    27. Guo, Zhengquan & Zhang, Xingping & Zheng, Yuhua & Rao, Rao, 2014. "Exploring the impacts of a carbon tax on the Chinese economy using a CGE model with a detailed disaggregation of energy sectors," Energy Economics, Elsevier, vol. 45(C), pages 455-462.
    28. Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(C).
    29. Guevara, Zeus & Domingos, Tiago, 2017. "The multi-factor energy input–output model," Energy Economics, Elsevier, vol. 61(C), pages 261-269.
    30. Carvalho, Terciane Sabadini & Santiago, Flaviane Souza & Perobelli, Fernando Salgueiro, 2013. "International trade and emissions: The case of the Minas Gerais state — 2005," Energy Economics, Elsevier, vol. 40(C), pages 383-395.
    31. Wu, Sanmang & Li, Shantong & Lei, Yalin & Li, Li, 2020. "Temporal changes in China's production and consumption-based CO2 emissions and the factors contributing to changes," Energy Economics, Elsevier, vol. 89(C).
    32. Stephen Chong & Rutger Hoekstra & Oscar Lemmers & Ilke Van Beveren & Marcel Van Den Berg & Ron Van Der Wal & Piet Verbiest, 2019. "The role of small- and medium-sized enterprises in the Dutch economy: an analysis using an extended supply and use table," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-24, December.
    33. Su, Bin & Ang, B.W. & Li, Yingzhu, 2017. "Input-output and structural decomposition analysis of Singapore's carbon emissions," Energy Policy, Elsevier, vol. 105(C), pages 484-492.
    34. Jan T. Mizgajski, 2013. "CO2 Embodied in Trade between Poland and Selected Countries," Journal of Economic Development, Environment and People, Alliance of Central-Eastern European Universities, vol. 2(4), pages 48-60, September.
    35. Jiang, Xuemei & Guan, Dabo & Zhang, Jin & Zhu, Kunfu & Green, Christopher, 2015. "Firm ownership, China's export related emissions, and the responsibility issue," Energy Economics, Elsevier, vol. 51(C), pages 466-474.
    36. Viktoras Kulionis, 2018. "Constructing energy accounts for WIOD 2016 release," Papers 1810.07112, arXiv.org.
    37. Lin, Boqiang & Long, Houyin, 2014. "How to promote energy conservation in China’s chemical industry," Energy Policy, Elsevier, vol. 73(C), pages 93-102.
    38. Cadarso, María-Ángeles & López, Luis-Antonio & Gómez, Nuria & Tobarra, María-Ángeles, 2012. "International trade and shared environmental responsibility by sector. An application to the Spanish economy," Ecological Economics, Elsevier, vol. 83(C), pages 221-235.
    39. Huang, Jian-Bai & Chen, Xi & Song, Yi, 2020. "What drives embodied metal consumption in China's imports and exports," Resources Policy, Elsevier, vol. 69(C).
    40. Cui, Lian-Biao & Peng, Pan & Zhu, Lei, 2015. "Embodied energy, export policy adjustment and China's sustainable development: A multi-regional input-output analysis," Energy, Elsevier, vol. 82(C), pages 457-467.
    41. Kim, Yong-Gun & Yoo, Jonghyun & Oh, Wankeun, 2015. "Driving forces of rapid CO2 emissions growth: A case of Korea," Energy Policy, Elsevier, vol. 82(C), pages 144-155.
    42. Liu, Liwei & Chen, Chuxiang & Zhao, Yufei & Zhao, Erdong, 2015. "China׳s carbon-emissions trading: Overview, challenges and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 254-266.
    43. Jin Zhang and David C. Broadstock, 2016. "The Causality between Energy Consumption and Economic Growth for China in a Time-varying Framework," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    44. Tang, Zhipeng & Yu, Haojie & Zou, Jialing, 2022. "How does production substitution affect China's embodied carbon emissions in exports?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    45. Meng, F.Y. & Zhou, D.Q. & Zhou, P. & Bai, Y., 2014. "Sectoral comparison of electricity-saving potentials in China: An analysis based on provincial input–output tables," Energy, Elsevier, vol. 72(C), pages 772-782.
    46. Fan He & Yang Yang & Xin Liu & Dong Wang & Junping Ji & Zhibin Yi, 2021. "Input–Output Analysis of China’s CO 2 Emissions in 2017 Based on Data of 149 Sectors," Sustainability, MDPI, vol. 13(8), pages 1-27, April.
    47. Fu, Feng & Liu, Hongtao & Polenske, Karen R. & Li, Zheng, 2013. "Measuring the energy consumption of China’s domestic investment from 1992 to 2007," Applied Energy, Elsevier, vol. 102(C), pages 1267-1274.
    48. Bram Edens & Rutger Hoekstra & Daan Zult & Oscar Lemmers & Harry Wilting & Ronghao Wu, 2015. "A Method To Create Carbon Footprint Estimates Consistent With National Accounts," Economic Systems Research, Taylor & Francis Journals, vol. 27(4), pages 440-457, December.
    49. Lin, Boqiang & Du, Kerui, 2014. "Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 129(C), pages 158-165.
    50. Kjartan Steen-Olsen & Anne Owen & Edgar G. Hertwich & Manfred Lenzen, 2014. "Effects Of Sector Aggregation On Co 2 Multipliers In Multiregional Input-Output Analyses," Economic Systems Research, Taylor & Francis Journals, vol. 26(3), pages 284-302, September.
    51. Su, Bin & Ang, B.W., 2022. "Improved granularity in input-output analysis of embodied energy and emissions: The use of monthly data," Energy Economics, Elsevier, vol. 113(C).
    52. Wen Wen & Qi Wang, 2017. "Are Developed Regions in China Achieving Their CO 2 Emissions Reduction Targets on Their Own?—Case of Beijing," Energies, MDPI, vol. 10(12), pages 1-25, November.
    53. Sylvain Weber & Reyer Gerlagh & Nicole A. Mathys & Daniel Moran, 2017. "CO2 embedded in trade: trends and fossil fuel drivers," Development Working Papers 413, Centro Studi Luca d'Agliano, University of Milano.
    54. Kyunsuk Choi & Hiroyuki Matsuura & Hyunjoung Lee & Il Sohn, 2016. "Achieving a Carbon Neutral Society without Industry Contraction in the Five Major Steel Producing Countries," Sustainability, MDPI, vol. 8(5), pages 1-18, May.
    55. Yuhuan Zhao & Song Wang & Jiaqin Yang & Zhonghua Zhang & Ya Liu, 2016. "Input-output analysis of carbon emissions embodied in China-Japan trade," Applied Economics, Taylor & Francis Journals, vol. 48(16), pages 1515-1529, April.
    56. Yue-Jun Zhang & Xiao-Juan Bian & Weiping Tan, 2018. "The linkages of sectoral carbon dioxide emission caused by household consumption in China: evidence from the hypothetical extraction method," Empirical Economics, Springer, vol. 54(4), pages 1743-1775, June.
    57. Xu, Duo & Liu, Gengyuan & Meng, Fanxin & Yan, Ningyu & Li, Hui & Agostinho, Feni & Almeida, Cecilia MVB & Giannetti, Biagio F, 2023. "Sector aggregation effect on embodied carbon emission based on city-centric global multi-region input-output (CCG-MRIO) model," Ecological Modelling, Elsevier, vol. 484(C).
    58. Mi, Zhifu & Zheng, Jiali & Meng, Jing & Zheng, Heran & Li, Xian & Coffman, D'Maris & Woltjer, Johan & Wang, Shouyang & Guan, Dabo, 2019. "Carbon emissions of cities from a consumption-based perspective," Applied Energy, Elsevier, vol. 235(C), pages 509-518.
    59. Marin, Giovanni & Mazzanti, Massimiliano & Montini, Anna, 2012. "Linking NAMEA and Input output for ‘consumption vs. production perspective’ analyses," Ecological Economics, Elsevier, vol. 74(C), pages 71-84.
    60. Su, Bin & Ang, B.W., 2015. "Multiplicative decomposition of aggregate carbon intensity change using input–output analysis," Applied Energy, Elsevier, vol. 154(C), pages 13-20.
    61. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Guo, Lin & Zhang, Kun & Xue, Jinjun & Liang, Qiao-Mei, 2019. "Distributional impact of carbon pricing in Chinese provinces," Energy Economics, Elsevier, vol. 81(C), pages 327-340.
    62. Fernández González, P. & Presno, M.J. & Landajo, M., 2015. "Regional and sectoral attribution to percentage changes in the European Divisia carbonization index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1437-1452.
    63. Jingyao Peng & Yidi Sun & Junnian Song & Wei Yang, 2020. "Exploring Potential Pathways toward Energy-Related Carbon Emission Reduction in Heavy Industrial Regions of China: An Input–Output Approach," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    64. Changjian Wang & Fei Wang, 2015. "Structural Decomposition Analysis of Carbon Emissions and Policy Recommendations for Energy Sustainability in Xinjiang," Sustainability, MDPI, vol. 7(6), pages 1-20, June.
    65. Qi, Tianyu & Winchester, Niven & Karplus, Valerie J. & Zhang, Xiliang, 2014. "Will economic restructuring in China reduce trade-embodied CO2 emissions?," Energy Economics, Elsevier, vol. 42(C), pages 204-212.
    66. Liu, Lirong & Huang, Guohe & Baetz, Brian & Huang, Charley Z. & Zhang, Kaiqiang, 2019. "Integrated GHG emissions and emission relationships analysis through a disaggregated ecologically-extended input-output model; A case study for Saskatchewan, Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 106(C), pages 97-109.
    67. Zhang, Da & Caron, Justin & Winchester, Niven & Karplus, Valerie J., 2013. "Sectoral aggregation bias in the accounting of emissions embodied in trade and consumption," Conference papers 332330, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    68. Su, Bin & Ang, B.W. & Li, Yingzhu, 2019. "Structural path and decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 83(C), pages 345-360.
    69. Pothen, Frank & Schymura, Michael, 2015. "Bigger cakes with fewer ingredients? A comparison of material use of the world economy," Ecological Economics, Elsevier, vol. 109(C), pages 109-121.
    70. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    71. Kurt Kratena & Ina Meyer, 2010. "CO2 Emissions Embodied in Austrian International Trade," FIW Research Reports series II-002, FIW.
    72. Jiang, Lei & He, Shixiong & Tian, Xi & Zhang, Bo & Zhou, Haifeng, 2020. "Energy use embodied in international trade of 39 countries: Spatial transfer patterns and driving factors," Energy, Elsevier, vol. 195(C).
    73. Zhang, Zengkai & Zhang, ZhongXiang & Zhu, Kunfu, 2020. "Allocating carbon responsibility: The role of spatial production fragmentation," Energy Economics, Elsevier, vol. 87(C).
    74. Qian Zhang & Jun Nakatani & Yuichi Moriguchi, 2015. "Compilation of an Embodied CO 2 Emission Inventory for China Using 135-Sector Input-Output Tables," Sustainability, MDPI, vol. 7(7), pages 1-17, June.
    75. Li, J.S. & Chen, G.Q. & Wu, X.F. & Hayat, T. & Alsaedi, A. & Ahmad, B., 2014. "Embodied energy assessment for Macao׳s external trade," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 642-653.
    76. Liu, Qiaoling & Wang, Qi, 2015. "Reexamine SO2 emissions embodied in China's exports using multiregional input–output analysis," Ecological Economics, Elsevier, vol. 113(C), pages 39-50.
    77. Jin, Yi & Tang, Xu & Feng, Cuiyang & Höök, Mikael, 2017. "Energy and water conservation synergy in China: 2007–2012," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 206-215.
    78. Anwar Gasim, 2015. "Embodied energy in trade: What role does specialization play," Discussion Papers ks-1516-dp010a, King Abdullah Petroleum Studies and Research Center.
    79. Ding, Tao & Ning, Yadong & Zhang, Yan, 2018. "The contribution of China’s bilateral trade to global carbon emissions in the context of globalization," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 78-88.
    80. Hong, Jingke & Li, Clyde Zhengdao & Shen, Qiping & Xue, Fan & Sun, Bingxia & Zheng, Wei, 2017. "An Overview of the driving forces behind energy demand in China's construction industry: Evidence from 1990 to 2012," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 85-94.
    81. Su, Bin & Ang, B.W., 2013. "Input–output analysis of CO2 emissions embodied in trade: Competitive versus non-competitive imports," Energy Policy, Elsevier, vol. 56(C), pages 83-87.
    82. Su, Bin & Ang, B.W., 2011. "Multi-region input–output analysis of CO2 emissions embodied in trade: The feedback effects," Ecological Economics, Elsevier, vol. 71(C), pages 42-53.
    83. Moran, Daniel D. & Lenzen, Manfred & Kanemoto, Keiichiro & Geschke, Arne, 2013. "Does ecologically unequal exchange occur?," Ecological Economics, Elsevier, vol. 89(C), pages 177-186.
    84. Zhang, Yue-Jun & Peng, Hua-Rong & Su, Bin, 2017. "Energy rebound effect in China's Industry: An aggregate and disaggregate analysis," Energy Economics, Elsevier, vol. 61(C), pages 199-208.
    85. Su, Bin & Ang, B.W., 2020. "Demand contributors and driving factors of Singapore’s aggregate carbon intensities," Energy Policy, Elsevier, vol. 146(C).
    86. Zhang, Zengkai & Guo, Ju'e & Hewings, Geoffrey J.D., 2014. "The effects of direct trade within China on regional and national CO2 emissions," Energy Economics, Elsevier, vol. 46(C), pages 161-175.
    87. Jayanthakumaran, Kankesu & Liu, Ying, 2016. "Bi-lateral CO2 emissions embodied in Australia–China trade," Energy Policy, Elsevier, vol. 92(C), pages 205-213.
    88. Bordigoni, Mathieu & Hita, Alain & Le Blanc, Gilles, 2012. "Role of embodied energy in the European manufacturing industry: Application to short-term impacts of a carbon tax," Energy Policy, Elsevier, vol. 43(C), pages 335-350.
    89. Ernst, Anne & Hinterlang, Natascha & Mahle, Alexander & Stähler, Nikolai, 2023. "Carbon pricing, border adjustment and climate clubs: Options for international cooperation," Journal of International Economics, Elsevier, vol. 144(C).
    90. Bowen Xiao & Dongxiao Niu & Xiaodan Guo, 2016. "The Driving Forces of Changes in CO 2 Emissions in China: A Structural Decomposition Analysis," Energies, MDPI, vol. 9(4), pages 1-17, March.
    91. Duan, Yuwan & Jiang, Xuemei, 2017. "Temporal Change of China's Pollution Terms of Trade and its Determinants," Ecological Economics, Elsevier, vol. 132(C), pages 31-44.
    92. Zhang, Zhuoying & Yang, Hong & Shi, Minjun, 2011. "Analyses of water footprint of Beijing in an interregional input–output framework," Ecological Economics, Elsevier, vol. 70(12), pages 2494-2502.
    93. Zhang, Zhonghua & Zhao, Yuhuan & Su, Bin & Zhang, Yongfeng & Wang, Song & Liu, Ya & Li, Hao, 2017. "Embodied carbon in China’s foreign trade: An online SCI-E and SSCI based literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 492-510.
    94. Rong Yuan & Tao Zhao & Jing Xu, 2017. "A subsystem input–output decomposition analysis of CO2 emissions in the service sectors: a case study of Beijing, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2181-2198, December.
    95. Shichun Xu & Wenwen Zhang & Qinbin Li & Bin Zhao & Shuxiao Wang & Ruyin Long, 2017. "Decomposition Analysis of the Factors that Influence Energy Related Air Pollutant Emission Changes in China Using the SDA Method," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    96. Li, Yingzhu & Shi, Xunpeng & Su, Bin, 2017. "Economic, social and environmental impacts of fuel subsidies: A revisit of Malaysia," Energy Policy, Elsevier, vol. 110(C), pages 51-61.
    97. Xia, Yan & Fan, Ying & Yang, Cuihong, 2015. "Assessing the impact of foreign content in China’s exports on the carbon outsourcing hypothesis," Applied Energy, Elsevier, vol. 150(C), pages 296-307.
    98. Zhang, Youguo, 2013. "The responsibility for carbon emissions and carbon efficiency at the sectoral level: Evidence from China," Energy Economics, Elsevier, vol. 40(C), pages 967-975.
    99. Bu, Yan & Wang, Erda & Möst, Dominik & Lieberwirth, Martin, 2022. "How population migration affects carbon emissions in China: Factual and counterfactual scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    100. Su, Bin & Ang, B.W., 2014. "Attribution of changes in the generalized Fisher index with application to embodied emission studies," Energy, Elsevier, vol. 69(C), pages 778-786.
    101. Satoshi Nakano & Sonoe Arai & Ayu Washizu, 2017. "Economic impacts of Japan’s renewable energy sector and the feed-in tariff system: using an input–output table to analyze a next-generation energy system," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(3), pages 555-580, July.
    102. Olga Gavrilova & Raivo Vilu, 2015. "Estonia's Energy-related Greenhouse Gas Emissions in 1995-2011: A Structural Decomposition Analysis," Review of Economics & Finance, Better Advances Press, Canada, vol. 5, pages 67-84, February.
    103. Li, Meng & Gao, Yuning & Meng, Bo & Yang, Zhusong, 2021. "Managing the mitigation: Analysis of the effectiveness of target-based policies on China's provincial carbon emission and transfer," Energy Policy, Elsevier, vol. 151(C).
    104. Qu, Yang & Hooper, Tara & Swales, J. Kim & Papathanasopoulou, Eleni & Austen, Melanie C. & Yan, Xiaoyu, 2021. "Energy-food nexus in the marine environment: A macroeconomic analysis on offshore wind energy and seafood production in Scotland," Energy Policy, Elsevier, vol. 149(C).
    105. Maaike Bouwmeester & Jan Oosterhaven, 2013. "Specification and Aggregation Errors in Environmentally Extended Input–Output Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(3), pages 307-335, November.
    106. Anke Schaffartzik & Dominik Wiedenhofer & Nina Eisenmenger, 2015. "Raw Material Equivalents: The Challenges of Accounting for Sustainability in a Globalized World," Sustainability, MDPI, vol. 7(5), pages 1-26, April.
    107. Jiang, Xuemei & Duan, Yuwan & Green, Christopher, 2017. "Regional disparity in energy intensity of China and the role of industrial and export structure," Resources, Conservation & Recycling, Elsevier, vol. 120(C), pages 209-218.
    108. Weitzel, Matthias & Ma, Tao, 2014. "Emissions embodied in Chinese exports taking into account the special export structure of China," Energy Economics, Elsevier, vol. 45(C), pages 45-52.
    109. Zhang, Youguo & Tang, Zhipeng, 2015. "Driving factors of carbon embodied in China's provincial exports," Energy Economics, Elsevier, vol. 51(C), pages 445-454.
    110. Supasa, Tharinya & Hsiau, Shu-San & Lin, Shih-Mo & Wongsapai, Wongkot & Wu, Jiunn-Chi, 2016. "Has energy conservation been an effective policy for Thailand? An input–output structural decomposition analysis from 1995 to 2010," Energy Policy, Elsevier, vol. 98(C), pages 210-220.
    111. Moana S. Simas & Laura Golsteijn & Mark A. J. Huijbregts & Richard Wood & Edgar G. Hertwich, 2014. "The “Bad Labor” Footprint: Quantifying the Social Impacts of Globalization," Sustainability, MDPI, vol. 6(11), pages 1-27, October.
    112. Yulei Xie & Ling Ji & Beibei Zhang & Gordon Huang, 2018. "Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    113. Jiansuo Pei & Bo Meng & Fei Wang & Jinjun Xue & Zhongxiu Zhao, 2018. "Production Sharing, Demand Spillovers And Co2 Emissions: The Case Of Chinese Regions In Global Value Chains," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 275-293, March.
    114. Zhang, Moyi & Huang, Xian-Jin, 2012. "Effects of industrial restructuring on carbon reduction: An analysis of Jiangsu Province, China," Energy, Elsevier, vol. 44(1), pages 515-526.
    115. Yang Yang & Suocheng Dong & Fujia Li & Hao Cheng & Zehong Li & Yu Li & Shantong Li, 2021. "An analysis on the adoption of an interregional carbon emission reduction allocation approach in the context of China’s interprovincial carbon emission transfer," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4385-4411, March.
    116. Zhang, Xiaomei & Su, Bin & Yang, Jun & Cong, Jianhui, 2022. "Analysis of Shanxi Province's energy consumption and intensity using input-output framework (2002–2017)," Energy, Elsevier, vol. 250(C).
    117. Zhou, Dequn & Zhou, Xiaoyong & Xu, Qing & Wu, Fei & Wang, Qunwei & Zha, Donglan, 2018. "Regional embodied carbon emissions and their transfer characteristics in China," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 180-193.
    118. Su, Bin & Ang, B.W., 2010. "Input-output analysis of CO2 emissions embodied in trade: The effects of spatial aggregation," Ecological Economics, Elsevier, vol. 70(1), pages 10-18, November.
    119. Gavrilova, Olga & Vilu, Raivo, 2012. "Production-based and consumption-based national greenhouse gas inventories: An implication for Estonia," Ecological Economics, Elsevier, vol. 75(C), pages 161-173.
    120. Leying Wu & Zhangqi Zhong & Changxin Liu & Zheng Wang, 2017. "Examining PM 2.5 Emissions Embodied in China’s Supply Chain Using a Multiregional Input-Output Analysis," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
    121. de Koning, Arjan & Bruckner, Martin & Lutter, Stephan & Wood, Richard & Stadler, Konstantin & Tukker, Arnold, 2015. "Effect of aggregation and disaggregation on embodied material use of products in input–output analysis," Ecological Economics, Elsevier, vol. 116(C), pages 289-299.
    122. Wang, Zhaohua & Li, Yiming & Cai, Hailin & Yang, Yuantao & Wang, Bo, 2019. "Regional difference and drivers in China's carbon emissions embodied in internal trade," Energy Economics, Elsevier, vol. 83(C), pages 217-228.
    123. Xie, Qiwei & Hu, Ping & Jiang, An & Li, Yongjun, 2019. "Carbon emissions allocation based on satisfaction perspective and data envelopment analysis," Energy Policy, Elsevier, vol. 132(C), pages 254-264.
    124. Chen, Zhan-Ming & Liu, Yu & Qin, Ping & Zhang, Bo & Lester, Leo & Chen, Guanghua & Guo, Yumei & Zheng, Xinye, 2015. "Environmental externality of coal use in China: Welfare effect and tax regulation," Applied Energy, Elsevier, vol. 156(C), pages 16-31.
    125. Piñero, Pablo & Heikkinen, Mari & Mäenpää, Ilmo & Pongrácz, Eva, 2015. "Sector aggregation bias in environmentally extended input output modeling of raw material flows in Finland," Ecological Economics, Elsevier, vol. 119(C), pages 217-229.
    126. Xie, Rui & Hu, Guangxiao & Zhang, Youguo & Liu, Yu, 2017. "Provincial transfers of enabled carbon emissions in China: A supply-side perspective," Energy Policy, Elsevier, vol. 107(C), pages 688-697.
    127. Su, Bin & Goh, Tian & Ang, B.W. & Ng, Tsan Sheng, 2022. "Energy consumption and energy efficiency trends in Singapore: The case of a meticulously planned city," Energy Policy, Elsevier, vol. 161(C).
    128. David Font Vivanco & Ranran Wang & Edgar Hertwich, 2018. "Nexus Strength: A Novel Metric for Assessing the Global Resource Nexus," Journal of Industrial Ecology, Yale University, vol. 22(6), pages 1473-1486, December.
    129. Wenxiang Peng & Yutao Lei & Xuan Zhang, 2023. "Analysis of China’s High-Carbon Manufacturing Industry’s Carbon Emissions in the Digital Process," Sustainability, MDPI, vol. 15(20), pages 1-35, October.
    130. Jiajia Li & Yucong Liu & Houjian Li & Abbas Ali Chandio, 2021. "Heterogeneous Driving Factors of Carbon Emissions Embedded in China’s Export: An Application of the LASSO Model," IJERPH, MDPI, vol. 18(19), pages 1-18, October.
    131. Zeng, Lin & Xu, Ming & Liang, Sai & Zeng, Siyu & Zhang, Tianzhu, 2014. "Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 640-647.
    132. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.
    133. Qu, Lili & Zhang, Tianzhu & Liang, Sai, 2013. "Waste management of urban agglomeration on a life cycle basis," Resources, Conservation & Recycling, Elsevier, vol. 78(C), pages 47-53.
    134. Christos T. Papadas & Nikolaos Vlassis, 2018. "A structural decomposition analysis of the pollution terms of trade," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 7(1), pages 57-68, January.
    135. Song, Feng & Zheng, Xinye, 2012. "What drives the change in China's energy intensity: Combining decomposition analysis and econometric analysis at the provincial level," Energy Policy, Elsevier, vol. 51(C), pages 445-453.
    136. Banerjee, Suvajit, 2021. "Conjugation of border and domestic carbon adjustment and implications under production and consumption-based accounting of India's National Emission Inventory: A recursive dynamic CGE analysis," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 68-86.
    137. Li, Meng & Gao, Yuning & Meng, Bo & Meng, Jing, 2023. "Tracing embodied energy use through global value chains: Channel decomposition and analysis of influential factors," Ecological Economics, Elsevier, vol. 208(C).
    138. Feng Xu & Nan Xiang & Jingjing Yan & Lujun Chen & Peter Nijkamp & Yoshiro Higano, 2015. "Dynamic simulation of China’s carbon emission reduction potential by 2020," Letters in Spatial and Resource Sciences, Springer, vol. 8(1), pages 15-27, March.
    139. Lin, Jianyi & Hu, Yuanchao & Zhao, Xiaofeng & Shi, Longyu & Kang, Jiefeng, 2017. "Developing a city-centric global multiregional input-output model (CCG-MRIO) to evaluate urban carbon footprints," Energy Policy, Elsevier, vol. 108(C), pages 460-466.
    140. Liu, Yu & Meng, Bo & Hubacek, Klaus & Xue, Jinjun & Feng, Kuishuang & Gao, Yuning, 2016. "‘Made in China’: A reevaluation of embodied CO2 emissions in Chinese exports using firm heterogeneity information," Applied Energy, Elsevier, vol. 184(C), pages 1106-1113.
    141. Ninpanit, Panittra & Malik, Arunima & Wakiyama, Takako & Geschke, Arne & Lenzen, Manfred, 2019. "Thailand’s energy-related carbon dioxide emissions from production-based and consumption-based perspectives," Energy Policy, Elsevier, vol. 133(C).
    142. Su, Bin & Ang, B.W., 2014. "Input–output analysis of CO2 emissions embodied in trade: A multi-region model for China," Applied Energy, Elsevier, vol. 114(C), pages 377-384.
    143. Yan, Junna & Zhao, Tao & Kang, Jidong, 2016. "Sensitivity analysis of technology and supply change for CO2 emission intensity of energy-intensive industries based on input–output model," Applied Energy, Elsevier, vol. 171(C), pages 456-467.
    144. Ernst, Anne & Hinterlang, Natascha & Mahle, Alexander & Stähler, Nikolai, 2022. "Carbon pricing, border adjustment and climate clubs: An assessment with EMuSe," Discussion Papers 25/2022, Deutsche Bundesbank.
    145. Yu, Liu & Meng, Bo & Hubacek, Klaus & Xue, Jinjun & Feng, Kuishuang & Gao, Yuning, 2016. "How does firm heterogeneity information impact the estimation of embodied carbon emissions in Chinese exports?," IDE Discussion Papers 592, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    146. Meng, Guanfei & Liu, Hongxun & Li, Jianglong & Sun, Chuanwang, 2022. "Determination of driving forces for China's energy consumption and regional disparities using a hybrid structural decomposition analysis," Energy, Elsevier, vol. 239(PC).
    147. Natascha Hinterlang, 2023. "Effects of Carbon Pricing in Germany and Spain: An Assessment with EMuSe," Working Papers 2328, Banco de España.
    148. Xi Zhang & Zheng Li & Linwei Ma & Chinhao Chong & Weidou Ni, 2019. "Forecasting the Energy Embodied in Construction Services Based on a Combination of Static and Dynamic Hybrid Input-Output Models," Energies, MDPI, vol. 12(2), pages 1-26, January.
    149. Liu, Hongguang & Liu, Weidong & Fan, Xiaomei & Zou, Wei, 2015. "Carbon emissions embodied in demand–supply chains in China," Energy Economics, Elsevier, vol. 50(C), pages 294-305.
    150. Tang, Miaohan & Hong, Jingke & Liu, Guiwen & Shen, Geoffrey Qiping, 2019. "Exploring energy flows embodied in China's economy from the regional and sectoral perspectives via combination of multi-regional input–output analysis and a complex network approach," Energy, Elsevier, vol. 170(C), pages 1191-1201.
    151. FæHn, Taran & Jacobsen, Karl & Bye, Brita, 2011. "Diffusion of Climate Technologies in Presence of an Emissions Cap," Conference papers 332131, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    152. Hongguang Liu & Xiaomei Fan, 2017. "Value-Added-Based Accounting of CO 2 Emissions: A Multi-Regional Input-Output Approach," Sustainability, MDPI, vol. 9(12), pages 1-18, December.
    153. Jordan Hristov & Aleksandra Martinovska-Stojcheska & Yves Surry, 2016. "The Economic Role of Water in FYR Macedonia: An Input–Output Analysis and Implications for the Western Balkan Countries," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 2(04), pages 1-37, December.
    154. Zhang, Bo & Chen, G.Q., 2010. "Methane emissions by Chinese economy: Inventory and embodiment analysis," Energy Policy, Elsevier, vol. 38(8), pages 4304-4316, August.
    155. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    156. Li, Yingzhu & Su, Bin & Dasgupta, Shyamasree, 2018. "Structural path analysis of India's carbon emissions using input-output and social accounting matrix frameworks," Energy Economics, Elsevier, vol. 76(C), pages 457-469.
    157. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2019. "How information and communication technology drives carbon emissions: A sector-level analysis for China," Energy Economics, Elsevier, vol. 81(C), pages 380-392.
    158. Boya Zhang & Shukuan Bai & Yadong Ning & Tao Ding & Yan Zhang, 2020. "Emission Embodied in International Trade and Its Responsibility from the Perspective of Global Value Chain: Progress, Trends, and Challenges," Sustainability, MDPI, vol. 12(8), pages 1-26, April.
    159. Sanna Ala-Mantila & Jukka Heinonen & Seppo Junnila, 2013. "Greenhouse Gas Implications of Urban Sprawl in the Helsinki Metropolitan Area," Sustainability, MDPI, vol. 5(10), pages 1-18, October.
    160. Li, Rongrong & Wang, Qiang & Wang, Xuefeng & Zhou, Yulin & Han, Xinyu & Liu, Yi, 2022. "Germany's contribution to global carbon reduction might be underestimated – A new assessment based on scenario analysis with and without trade," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    161. Xin Yan & Jianping Ge, 2017. "The Economy-Carbon Nexus in China: A Multi-Regional Input-Output Analysis of the Influence of Sectoral and Regional Development," Energies, MDPI, vol. 10(1), pages 1-28, January.
    162. Sun, Licheng & Wang, Qunwei & Zhang, Jijian, 2017. "Inter-industrial Carbon Emission Transfers in China: Economic Effect and Optimization Strategy," Ecological Economics, Elsevier, vol. 132(C), pages 55-62.
    163. Yan, Junna & Li, Yingzhu & Su, Bin & Ng, Tsan Sheng, 2022. "Contributors and drivers of Chinese energy use and intensity from regional and demand perspectives, 2012-2015-2017," Energy Economics, Elsevier, vol. 115(C).
    164. Fujimori, Shinichiro & Matsuoka, Yuzuru, 2011. "Development of method for estimation of world industrial energy consumption and its application," Energy Economics, Elsevier, vol. 33(3), pages 461-473, May.
    165. Rui Huang & Arunima Malik & Manfred Lenzen & Yutong Jin & Yafei Wang & Futu Faturay & Zhiyi Zhu, 2022. "Supply-chain impacts of Sichuan earthquake: a case study using disaster input–output analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(3), pages 2227-2248, February.
    166. Wang, Saige & Cao, Tao & Chen, Bin, 2021. "Identifying critical sectors and supply chain paths for virtual water and energy-related water trade in China," Applied Energy, Elsevier, vol. 299(C).

  122. Ang, B.W. & Mu, A.R. & Zhou, P., 2010. "Accounting frameworks for tracking energy efficiency trends," Energy Economics, Elsevier, vol. 32(5), pages 1209-1219, September.

    Cited by:

    1. Choi, Ki-Hong & Oh, Wankeun, 2014. "Extended Divisia index decomposition of changes in energy intensity: A case of Korean manufacturing industry," Energy Policy, Elsevier, vol. 65(C), pages 275-283.
    2. Liu, Yang & Zhong, Sheng, 2021. "Cross-Economy Dynamics in Energy Productivity: Evidence from 47 Economies over the Period 2000–2015," ADBI Working Papers 1215, Asian Development Bank Institute.
    3. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
    4. Wang, Zhenguo & Su, Bin & Xie, Rui & Long, Haiyu, 2020. "China’s aggregate embodied CO2 emission intensity from 2007 to 2012: A multi-region multiplicative structural decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    5. Octavio Fernández-Amador & Joseph F. Francois & Doris A. Oberdabernig & Patrick Tomberger, 2021. "Energy footprints and the international trade network: A new dataset. Is the European Union doing it better?," Working Papers 2021-22, Faculty of Economics and Statistics, Universität Innsbruck.
    6. Feng Dong & Ruyin Long & Hong Chen & Xiaohui Li & Qingliang Yang, 2013. "Factors Affecting Regional Per-Capita Carbon Emissions in China Based on an LMDI Factor Decomposition Model," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-10, December.
    7. Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.
    8. Yu-Kai Huang & Jyh-Yih Hsu & Lih-Chyun Sun, 2017. "A Study of Energy Efficiency and Mitigation of Carbon Emission: Implication of Decomposing Energy Intensity of Manufacturing Sector in Taiwan," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 26-33.
    9. Norman, Jonathan B., 2017. "Measuring improvements in industrial energy efficiency: A decomposition analysis applied to the UK," Energy, Elsevier, vol. 137(C), pages 1144-1151.
    10. Wang, H. & Zhou, D.Q. & Zhou, P. & Zha, D.L., 2012. "Direct rebound effect for passenger transport: Empirical evidence from Hong Kong," Applied Energy, Elsevier, vol. 92(C), pages 162-167.
    11. Xie, Shi-Chen, 2014. "The driving forces of China׳s energy use from 1992 to 2010: An empirical study of input–output and structural decomposition analysis," Energy Policy, Elsevier, vol. 73(C), pages 401-415.
    12. Baležentis, Alvydas & Baležentis, Tomas & Streimikiene, Dalia, 2011. "The energy intensity in Lithuania during 1995–2009: A LMDI approach," Energy Policy, Elsevier, vol. 39(11), pages 7322-7334.
    13. Kahrl, Fredrich & Roland-Holst, David & Zilberman, David, 2013. "Past as Prologue? Understanding energy use in post-2002 China," Energy Economics, Elsevier, vol. 36(C), pages 759-771.
    14. Ade Banani & Bambang Sunarko, 2022. "Nexus between Green Finance, Creativity, Energy Accounting and Financial Performance: Banks Sustainability Analysis from Developing Country," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 447-455, November.
    15. Hasanbeigi, Ali & de la Rue du Can, Stephane & Sathaye, Jayant, 2012. "Analysis and decomposition of the energy intensity of California industries," Energy Policy, Elsevier, vol. 46(C), pages 234-245.
    16. Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
    17. Löschel, Andreas & Pothen, Frank & Schymura, Michael, 2015. "Peeling the onion: Analyzing aggregate, national and sectoral energy intensity in the European Union," Energy Economics, Elsevier, vol. 52(S1), pages 63-75.
    18. Tan, Zhongfu & Li, Li & Wang, Jianjun & Wang, Jianhui, 2011. "Examining the driving forces for improving China’s CO2 emission intensity using the decomposing method," Applied Energy, Elsevier, vol. 88(12), pages 4496-4504.
    19. Zaim, Osman & Uygurtürk Gazel, Tuğçe & Akkemik, K. Ali, 2017. "Measuring energy intensity in Japan: A new method," European Journal of Operational Research, Elsevier, vol. 258(2), pages 778-789.
    20. Barros, Carlos Pestana & Chen, Zhongfei & Managi, Shunsuke & Antunes, Olinda Sequeira, 2013. "Examining the cost efficiency of Chinese hydroelectric companies using a finite mixture model," Energy Economics, Elsevier, vol. 36(C), pages 511-517.
    21. Maria Savona & Tommaso Ciarli, 2019. "Structural Changes and Sustainability. A Selected Review of the Empirical Evidence," SPRU Working Paper Series 2019-04, SPRU - Science Policy Research Unit, University of Sussex Business School.
    22. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    23. Liu, Nan & Ma, Zujun & Kang, Jidong & Su, Bin, 2019. "A multi-region multi-sector decomposition and attribution analysis of aggregate carbon intensity in China from 2000 to 2015," Energy Policy, Elsevier, vol. 129(C), pages 410-421.
    24. Yury Nikitovich Moseykin & Denis Leonidovich Paleev, 2019. "Analysis of Energy Capacity of the Russian Economy in the Regional Context," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 567-575.
    25. Zhong, Sheng, 2021. "Assessing the drivers of changes in aggregate fuel economy in Massachusetts: The role of vehicle reallocation," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    26. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
    27. Antonietti, Roberto & Fontini, Fulvio, 2019. "Does energy price affect energy efficiency? Cross-country panel evidence," Energy Policy, Elsevier, vol. 129(C), pages 896-906.
    28. Mertzanis, Charilaos & Garas, Samy & Abdel-Maksoud, Ahmed, 2020. "Integrity of financial information and firms' access to energy in developing countries," Energy Economics, Elsevier, vol. 92(C).
    29. Su, Bin & Thomson, Elspeth, 2016. "China's carbon emissions embodied in (normal and processing) exports and their driving forces, 2006–2012," Energy Economics, Elsevier, vol. 59(C), pages 414-422.
    30. Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(C).
    31. Bhadbhade, Navdeep & Yilmaz, Selin & Zuberi, Jibran S. & Eichhammer, Wolfgang & Patel, Martin K., 2020. "The evolution of energy efficiency in Switzerland in the period 2000–2016," Energy, Elsevier, vol. 191(C).
    32. O’ Mahony, Tadhg & Zhou, Peng & Sweeney, John, 2012. "The driving forces of change in energy-related CO2 emissions in Ireland: A multi-sectoral decomposition from 1990 to 2007," Energy Policy, Elsevier, vol. 44(C), pages 256-267.
    33. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    34. Jimenez Mori, Raul Alberto & Mercado Díaz, Jorge Enrique, 2013. "Energy Intensity: A Decomposition and Counterfactual Exercise for Latin American Countries," IDB Publications (Working Papers) 4594, Inter-American Development Bank.
    35. Victor von Loessl & Heike Wetzel, 2019. "Revenue decoupling and energy consumption: Empirical evidence from the U.S. electric utilities sector," MAGKS Papers on Economics 201918, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    36. Pothen, Frank & Schymura, Michael, 2014. "Bigger cakes with less ingredients? A comparison of material use of the world economy," ZEW Discussion Papers 14-030, ZEW - Leibniz Centre for European Economic Research.
    37. Xuemei Jia & Qing Liu & Jiahao Feng & Yuru Li & Lijun Zhang, 2023. "The Induced Effects of Carbon Emissions for China’s Industry Digital Transformation," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    38. Yang, Mian & Ma, Tiemeng & Sun, Chuanwang, 2018. "Evaluating the impact of urban traffic investment on SO2 emissions in China cities," Energy Policy, Elsevier, vol. 113(C), pages 20-27.
    39. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
    40. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.
    41. Bian, Yiwen & He, Ping & Xu, Hao, 2013. "Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach," Energy Policy, Elsevier, vol. 63(C), pages 962-971.
    42. Xu, Jin-Hua & Fan, Ying & Yu, Song-Min, 2014. "Energy conservation and CO2 emission reduction in China's 11th Five-Year Plan: A performance evaluation," Energy Economics, Elsevier, vol. 46(C), pages 348-359.
    43. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).
    44. Su, Bin & Ang, B.W., 2015. "Multiplicative decomposition of aggregate carbon intensity change using input–output analysis," Applied Energy, Elsevier, vol. 154(C), pages 13-20.
    45. F. Wu & P. Zhou & D. Zhou, 2015. "Measuring Energy Congestion in Chinese Industrial Sectors: A Slacks-Based DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 479-494, October.
    46. Trotta, Gianluca, 2020. "Assessing energy efficiency improvements and related energy security and climate benefits in Finland: An ex post multi-sectoral decomposition analysis," Energy Economics, Elsevier, vol. 86(C).
    47. Wang, Qunwei & Wang, Yizhong & Zhou, P. & Wei, Hongye, 2017. "Whole process decomposition of energy-related SO2 in Jiangsu Province, China," Applied Energy, Elsevier, vol. 194(C), pages 679-687.
    48. Liu, Gengyuan & Hao, Yan & Zhou, Yun & Yang, Zhifeng & Zhang, Yan & Su, Meirong, 2016. "China's low-carbon industrial transformation assessment based on Logarithmic Mean Divisia Index model," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 156-170.
    49. Fekete, Hanna & Kuramochi, Takeshi & Roelfsema, Mark & Elzen, Michel den & Forsell, Nicklas & Höhne, Niklas & Luna, Lisa & Hans, Frederic & Sterl, Sebastian & Olivier, Jos & van Soest, Heleen & Frank,, 2021. "A review of successful climate change mitigation policies in major emitting economies and the potential of global replication," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    50. Hardt, Lukas & Owen, Anne & Brockway, Paul & Heun, Matthew K. & Barrett, John & Taylor, Peter G. & Foxon, Timothy J., 2018. "Untangling the drivers of energy reduction in the UK productive sectors: Efficiency or offshoring?," Applied Energy, Elsevier, vol. 223(C), pages 124-133.
    51. Pothen, Frank & Schymura, Michael, 2015. "Bigger cakes with fewer ingredients? A comparison of material use of the world economy," Ecological Economics, Elsevier, vol. 109(C), pages 109-121.
    52. Yang, Guangfei & Li, Wenli & Wang, Jianliang & Zhang, Dongqing, 2016. "A comparative study on the influential factors of China's provincial energy intensity," Energy Policy, Elsevier, vol. 88(C), pages 74-85.
    53. Löschel, Andreas & Rexhäuser, Sascha & Schymura, Michael, 2013. "Trade and the environment: An application of the WIOD database," ZEW Discussion Papers 13-005, ZEW - Leibniz Centre for European Economic Research.
    54. Ang, B.W. & Xu, X.Y., 2013. "Tracking industrial energy efficiency trends using index decomposition analysis," Energy Economics, Elsevier, vol. 40(C), pages 1014-1021.
    55. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    56. Li, Li & Wang, Jianjun & Tan, Zhongfu & Ge, Xinquan & Zhang, Jian & Yun, Xiaozhe, 2014. "Policies for eliminating low-efficiency production capacities and improving energy efficiency of energy-intensive industries in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 312-326.
    57. Banie Naser Outchiri, 2020. "Contributing to better energy and environmental analyses: how accurate are decomposition analysis results?," Cahiers de recherche 20-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    58. Jain, Princy & Goswami, Binoy, 2021. "Energy efficiency in South Asia: Trends and determinants," Energy, Elsevier, vol. 221(C).
    59. Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.
    60. Brizga, Janis & Feng, Kuishuang & Hubacek, Klaus, 2013. "Drivers of CO2 emissions in the former Soviet Union: A country level IPAT analysis from 1990 to 2010," Energy, Elsevier, vol. 59(C), pages 743-753.
    61. Zhang, Yue-Jun & Peng, Hua-Rong & Su, Bin, 2017. "Energy rebound effect in China's Industry: An aggregate and disaggregate analysis," Energy Economics, Elsevier, vol. 61(C), pages 199-208.
    62. Su, Bin & Ang, B.W., 2020. "Demand contributors and driving factors of Singapore’s aggregate carbon intensities," Energy Policy, Elsevier, vol. 146(C).
    63. Šarauskis, Egidijus & Vaitauskienė, Kristina & Romaneckas, Kęstutis & Jasinskas, Algirdas & Butkus, Vidmantas & Kriaučiūnienė, Zita, 2017. "Fuel consumption and CO2 emission analysis in different strip tillage scenarios," Energy, Elsevier, vol. 118(C), pages 957-968.
    64. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    65. Hu, Jin-Li & Chang, Ming-Chung & Tsay, Hui-Wen, 2017. "The congestion total-factor energy efficiency of regions in Taiwan," Energy Policy, Elsevier, vol. 110(C), pages 710-718.
    66. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    67. Inglesi-Lotz, Roula & Blignaut, James N., 2011. "South Africa’s electricity consumption: A sectoral decomposition analysis," Applied Energy, Elsevier, vol. 88(12), pages 4779-4784.
    68. Ghosh, Madanmohan & Luo, Deming & Rutherford, Thomas & Zhu, Yunfa, 2014. "The Drivers of GHG Emissions Intensity Improvements in Major Economies Analysis of Trends 1995-2009," Conference papers 332465, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    69. Kangjuan Lv & Anyu Yu & Yiwen Bian, 2017. "Regional energy efficiency and its determinants in China during 2001–2010: a slacks-based measure and spatial econometric analysis," Journal of Productivity Analysis, Springer, vol. 47(1), pages 65-81, February.
    70. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    71. Duan, Na & Guo, Jun-Peng & Xie, Bai-Chen, 2016. "Is there a difference between the energy and CO2 emission performance for China’s thermal power industry? A bootstrapped directional distance function approach," Applied Energy, Elsevier, vol. 162(C), pages 1552-1563.
    72. Xu, X.Y. & Ang, B.W., 2014. "Multilevel index decomposition analysis: Approaches and application," Energy Economics, Elsevier, vol. 44(C), pages 375-382.
    73. Georgia Makridou, Kostas Andriosopoulos, Michael Doumpos, and Constantin Zopounidis, 2015. "A Two-stage approach for energy efficiency analysis in European Union countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    74. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    75. Choi, Ki-Hong & Ang, B.W., 2012. "Attribution of changes in Divisia real energy intensity index — An extension to index decomposition analysis," Energy Economics, Elsevier, vol. 34(1), pages 171-176.
    76. Su, Bin & Ang, B.W., 2014. "Attribution of changes in the generalized Fisher index with application to embodied emission studies," Energy, Elsevier, vol. 69(C), pages 778-786.
    77. Feng, Yidai & Yuan, Huaxi & Liu, Yaobin & Zhang, Shaohui, 2023. "Does new-type urbanization policy promote green energy efficiency? Evidence from a quasi-natural experiment in China," Energy Economics, Elsevier, vol. 124(C).
    78. He, Yong & Liao, Nuo & Lin, Kunrong, 2021. "Can China's industrial sector achieve energy conservation and emission reduction goals dominated by energy efficiency enhancement? A multi-objective optimization approach," Energy Policy, Elsevier, vol. 149(C).
    79. Du, Kerui & Xie, Chunping & Ouyang, Xiaoling, 2017. "A comparison of carbon dioxide (CO2) emission trends among provinces in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 19-25.
    80. Duran, Elisa & Aravena, Claudia & Aguilar, Renato, 2015. "Analysis and decomposition of energy consumption in the Chilean industry," Energy Policy, Elsevier, vol. 86(C), pages 552-561.
    81. Yulan Lv & Wei Chen & Jianquan Cheng, 2019. "Direct and Indirect Effects of Urbanization on Energy Intensity in Chinese Cities: A Regional Heterogeneity Analysis," Sustainability, MDPI, vol. 11(11), pages 1-20, June.
    82. Madanmohan Ghosh & Deming Luo & Muhammad Shahid Siddiqui & Thomas Rutherford & Yunfa Zhu, 2020. "The Drivers of Greenhouse Gas Emissions Intensity Improvements in Major Economies: Analysis of Trends 1995–2009," Foreign Trade Review, , vol. 55(3), pages 277-297, August.
    83. Fernández González, P. & Landajo, M. & Presno, M.J., 2013. "The Divisia real energy intensity indices: Evolution and attribution of percent changes in 20 European countries from 1995 to 2010," Energy, Elsevier, vol. 58(C), pages 340-349.
    84. Román-Collado, Rocío & Colinet, María José, 2018. "Are labour productivity and residential living standards drivers of the energy consumption changes?," Energy Economics, Elsevier, vol. 74(C), pages 746-756.
    85. Torrie, Ralph D. & Stone, Christopher & Layzell, David B., 2016. "Understanding energy systems change in Canada: 1. Decomposition of total energy intensity," Energy Economics, Elsevier, vol. 56(C), pages 101-106.
    86. Wang, H. & Zhou, P. & Zhou, D.Q., 2012. "An empirical study of direct rebound effect for passenger transport in urban China," Energy Economics, Elsevier, vol. 34(2), pages 452-460.
    87. Lin, Boqiang & Du, Kerui, 2013. "Technology gap and China's regional energy efficiency: A parametric metafrontier approach," Energy Economics, Elsevier, vol. 40(C), pages 529-536.
    88. Chung, William & Kam, M.S. & Ip, C.Y., 2011. "A study of residential energy use in Hong Kong by decomposition analysis, 1990–2007," Applied Energy, Elsevier, vol. 88(12), pages 5180-5187.
    89. Luqman, Muhammad & Ahmad, Najid & Bakhsh, Khuda, 2019. "Nuclear energy, renewable energy and economic growth in Pakistan: Evidence from non-linear autoregressive distributed lag model," Renewable Energy, Elsevier, vol. 139(C), pages 1299-1309.
    90. Ang, B.W. & Xu, X.Y. & Su, Bin, 2015. "Multi-country comparisons of energy performance: The index decomposition analysis approach," Energy Economics, Elsevier, vol. 47(C), pages 68-76.
    91. Hasanbeigi, Ali & Price, Lynn & Fino-Chen, Cecilia & Lu, Hongyou & Ke, Jing, 2013. "Retrospective and prospective decomposition analysis of Chinese manufacturing energy use and policy implications," Energy Policy, Elsevier, vol. 63(C), pages 562-574.
    92. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues," Energy, Elsevier, vol. 123(C), pages 47-63.
    93. Su, Bin & Goh, Tian & Ang, B.W. & Ng, Tsan Sheng, 2022. "Energy consumption and energy efficiency trends in Singapore: The case of a meticulously planned city," Energy Policy, Elsevier, vol. 161(C).
    94. Liu, Jie & Qian, Haoqi & Zhang, Qian & Lin, Zhiyan & Siano, Pierluigi, 2023. "Corruption induced energy inefficiencies: Evidence from China's energy investment projects," Energy Policy, Elsevier, vol. 183(C).
    95. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    96. Raza, Muhammad Yousaf & Lin, Boqiang, 2022. "Energy efficiency and factor productivity in Pakistan: Policy perspectives," Energy, Elsevier, vol. 247(C).
    97. Liao, Nuo & He, Yong, 2018. "Exploring the effects of influencing factors on energy efficiency in industrial sector using cluster analysis and panel regression model," Energy, Elsevier, vol. 158(C), pages 782-795.
    98. Hu, Junfeng & Kahrl, Fredrich & Yan, Qingyou & Wang, Xiaoya, 2012. "The impact of China's differential electricity pricing policy on power sector CO2 emissions," Energy Policy, Elsevier, vol. 45(C), pages 412-419.
    99. Xu, X.Y. & Ang, B.W., 2014. "Analysing residential energy consumption using index decomposition analysis," Applied Energy, Elsevier, vol. 113(C), pages 342-351.
    100. Evers, Andrea & Hundsdoerfer, Jochen, 2014. "Country-by-Country Reporting: Eine neue Rechnungslegung über länderspezifische Wertschöpfung und Ertragsteuern?," Discussion Papers 2014/20, Free University Berlin, School of Business & Economics.
    101. Christos T. Papadas & Nikolaos Vlassis, 2018. "A structural decomposition analysis of the pollution terms of trade," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 7(1), pages 57-68, January.
    102. Arsen Tleppayev * & Saule Zeinolla & Saltanat Abishova, 2018. "Kazakhstan's Energy Efficiency Policy Via Dea Approaches," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 4(12), pages 509-514, 12-2018.
    103. Song, Feng & Zheng, Xinye, 2012. "What drives the change in China's energy intensity: Combining decomposition analysis and econometric analysis at the provincial level," Energy Policy, Elsevier, vol. 51(C), pages 445-453.
    104. Hwang, In Chang, 2013. "Stochastic Kaya model and its applications," MPRA Paper 55099, University Library of Munich, Germany.
    105. Mariana Conte Grand, 2018. "Desacople y Descomposición del Consumo Final de Energía en Argentina," CEMA Working Papers: Serie Documentos de Trabajo. 678, Universidad del CEMA.
    106. Liang Chen & Zhifeng Yang & Bin Chen, 2013. "Decomposition Analysis of Energy-Related Industrial CO 2 Emissions in China," Energies, MDPI, vol. 6(5), pages 1-19, April.
    107. Obsatar Sinaga & Djoko Roespinoedji & Mohd Haizam Mohd Saudi & Erlane K. Ghani, 2019. "The Role of Management Accounting Systems, Energy Efficiency and Organizational Innovation in driving Competitive Advantage and Firm Performance," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 395-402.
    108. Cahill, Caiman J. & Ó Gallachóir, Brian P., 2012. "Combining physical and economic output data to analyse energy and CO2 emissions trends in industry," Energy Policy, Elsevier, vol. 49(C), pages 422-429.
    109. Lin, Boqiang & Du, Kerui, 2014. "Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy," Energy, Elsevier, vol. 76(C), pages 884-890.
    110. Lin, Boqiang & Du, Kerui, 2015. "Measuring energy rebound effect in the Chinese economy: An economic accounting approach," Energy Economics, Elsevier, vol. 50(C), pages 96-104.
    111. Zhong, Sheng, 2018. "Structural decompositions of energy consumption between 1995 and 2009: Evidence from WIOD," Energy Policy, Elsevier, vol. 122(C), pages 655-667.
    112. Wang, H., 2015. "A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator," Energy, Elsevier, vol. 80(C), pages 114-122.
    113. Ebrahim Hosseini Nasab & Robab Aalami & Shermineh Foroughi Dahr & Mohammad Amin Sadeghzadeh, 2012. "An Analysis of Energy Consumption in Transportation and Industrial Sectors- a Multiplicative LMDI Approach with Application to Iran," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 17(2), pages 1-17, spring.
    114. Zhang, Qi & Xu, Jin & Wang, Yujie & Hasanbeigi, Ali & Zhang, Wei & Lu, Hongyou & Arens, Marlene, 2018. "Comprehensive assessment of energy conservation and CO2 emissions mitigation in China’s iron and steel industry based on dynamic material flows," Applied Energy, Elsevier, vol. 209(C), pages 251-265.
    115. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    116. Liu, Hongxun & Du, Kerui & Li, Jianglong, 2019. "An improved approach to estimate direct rebound effect by incorporating energy efficiency: A revisit of China's industrial energy demand," Energy Economics, Elsevier, vol. 80(C), pages 720-730.
    117. Huang, Junbing & Du, Dan & Hao, Yu, 2017. "The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations," Economic Modelling, Elsevier, vol. 65(C), pages 41-50.
    118. Shumin Zhang & Yongze Lv & Jian Xu & Baolei Zhang, 2023. "Exploring the Spatiotemporal Heterogeneity of Carbon Emission from Energy Consumption and Its Influencing Factors in the Yellow River Basin," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    119. Goh, Tian & Ang, B.W., 2018. "Quantifying CO2 emission reductions from renewables and nuclear energy – Some paradoxes," Energy Policy, Elsevier, vol. 113(C), pages 651-662.
    120. Šarauskis, Egidijus & Buragienė, Sidona & Masilionytė, Laura & Romaneckas, Kęstutis & Avižienytė, Dovile & Sakalauskas, Antanas, 2014. "Energy balance, costs and CO2 analysis of tillage technologies in maize cultivation," Energy, Elsevier, vol. 69(C), pages 227-235.
    121. Hu, Yi & Yin, Zhifeng & Ma, Jian & Du, Wencui & Liu, Danhe & Sun, Luxi, 2017. "Determinants of GHG emissions for a municipal economy: Structural decomposition analysis of Chongqing," Applied Energy, Elsevier, vol. 196(C), pages 162-169.
    122. Fernández González, P., 2015. "Exploring energy efficiency in several European countries. An attribution analysis of the Divisia structural change index," Applied Energy, Elsevier, vol. 137(C), pages 364-374.
    123. Zebin Zheng & Wenjun Xiao & Ziye Cheng, 2023. "China’s Green Total Factor Energy Efficiency Assessment Based on Coordinated Reduction in Pollution and Carbon Emission: From the 11th to the 13th Five-Year Plan," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    124. Linlin Zhao & Yong Zha & Kangning Wei & Liang Liang, 2017. "A target-based method for energy saving and carbon emissions reduction in China based on environmental data envelopment analysis," Annals of Operations Research, Springer, vol. 255(1), pages 277-300, August.

  123. P. Zhou & B. Ang & D. Zhou, 2010. "Weighting and Aggregation in Composite Indicator Construction: a Multiplicative Optimization Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 96(1), pages 169-181, March.

    Cited by:

    1. Hatefi, S.M. & Torabi, S.A., 2010. "A common weight MCDA-DEA approach to construct composite indicators," Ecological Economics, Elsevier, vol. 70(1), pages 114-120, November.
    2. Stéphane Blancard & Jean-François Hoarau, 2013. "A new sustainable human development indicator for small island developing states: A reappraisal from data envelopment analysis," Post-Print hal-01243423, HAL.
    3. Schang, Laura & Hynninen, Yrjänä & Morton, Alec & Salo, Ahti, 2016. "Developing robust composite measures of healthcare quality – Ranking intervals and dominance relations for Scottish Health Boards," Social Science & Medicine, Elsevier, vol. 162(C), pages 59-67.
    4. Picazo-Tadeo, Andrés J. & Beltrán-Esteve, Mercedes & Gómez-Limón, José A., 2012. "Assessing eco-efficiency with directional distance functions," European Journal of Operational Research, Elsevier, vol. 220(3), pages 798-809.
    5. Dobrovolskienė Nomeda & Tamošiūnienė Rima, 2015. "Financial Resource Allocation in a Project Portfolio: Analysing the Necessity to Integrate Sustainability into Resource Allocation," Scientific Annals of Economics and Business, Sciendo, vol. 62(3), pages 369-382, November.
    6. Giuliano Resce & Fritz Schiltz, 2021. "Sustainable Development in Europe: A Multicriteria Decision Analysis," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(2), pages 509-529, June.
    7. Milica Maricic & Jose A. Egea & Veljko Jeremic, 2019. "A Hybrid Enhanced Scatter Search—Composite I-Distance Indicator (eSS-CIDI) Optimization Approach for Determining Weights Within Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 497-537, July.
    8. Verbunt, Pim & Rogge, Nicky, 2018. "Geometric composite indicators with compromise Benefit-of-the-Doubt weights," European Journal of Operational Research, Elsevier, vol. 264(1), pages 388-401.
    9. Cristina Bernini & Andrea Guizzardi & Giovanni Angelini, 2013. "DEA-Like Model and Common Weights Approach for the Construction of a Subjective Community Well-Being Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(2), pages 405-424, November.
    10. Carrillo, Marianela & Jorge, Jesús M., 2017. "Multidimensional Analysis of Regional Tourism Sustainability in Spain," Ecological Economics, Elsevier, vol. 140(C), pages 89-98.
    11. Giménez, Víctor & Thieme, Claudio & Prior, Diego & Tortosa-Ausina, Emili, 2022. "Evaluation and determinants of preschool effectiveness in Chile," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    12. Zanella, Andreia & Camanho, Ana S. & Dias, Teresa G., 2015. "Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 245(2), pages 517-530.
    13. Diogo Ferraz & Enzo B. Mariano & Daisy Rebelatto & Dominik Hartmann, 2020. "Linking Human Development and the Financial Responsibility of Regions: Combined Index Proposals Using Methods from Data Envelopment Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(2), pages 439-478, July.
    14. Olga Blasco-Blasco & Marina Liern-García & Aarón López-García & Sandra E. Parada-Rico, 2021. "An Academic Performance Indicator Using Flexible Multi-Criteria Methods," Mathematics, MDPI, vol. 9(19), pages 1-19, September.
    15. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2013. "An evaluation framework for oil import security based on the supply chain with a case study focused on China," Energy Economics, Elsevier, vol. 38(C), pages 87-95.
    16. Stefanescu, Stefan V., 2011. "About the Accuracy of Gini Index for Measuring the Poverty," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 255-266, September.
    17. Alessandro Magrini & Francesca Giambona, 2022. "A Composite Indicator to Assess Sustainability of Agriculture in European Union Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(3), pages 1003-1036, October.
    18. Zhang, L.P. & Zhou, P., 2018. "A non-compensatory composite indicator approach to assessing low-carbon performance," European Journal of Operational Research, Elsevier, vol. 270(1), pages 352-361.
    19. M. M. Segovia-González & I. Contreras, 2023. "A Composite Indicator to Compare the Performance of Male and Female Students in Educational Systems," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(1), pages 181-212, January.
    20. Ernest Reig-Martínez, 2013. "Social and Economic Wellbeing in Europe and the Mediterranean Basin: Building an Enlarged Human Development Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 111(2), pages 527-547, April.
    21. Matteo Mazziotta & Adriano Pareto, 2018. "Measuring Well-Being Over Time: The Adjusted Mazziotta–Pareto Index Versus Other Non-compensatory Indices," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 967-976, April.
    22. Matteo Mazziotta & Adriano Pareto, 2016. "On a Generalized Non-compensatory Composite Index for Measuring Socio-economic Phenomena," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(3), pages 983-1003, July.
    23. Mercedes Beltrán-Esteve & José A. Gómez-Limón & Andrés J. Picazo-Tadeo & Ernest Reig-Martínez, 2012. "A metafrontier directional distance function approach to assessing eco-efficiency," Working Papers 1206, Department of Applied Economics II, Universidad de Valencia.
    24. Kounetas, Konstantinos & Stergiou, Eirini, 2019. "Examining eco-efficiency convergence of European Industries.The existence of technological spillovers within a metafrontier framework," MPRA Paper 94286, University Library of Munich, Germany.
    25. Ju, Keyi & Su, Bin & Zhou, Dequn & Zhou, P. & Zhang, Yuqiang, 2015. "Oil price crisis response: Capability assessment and key indicator identification," Energy, Elsevier, vol. 93(P2), pages 1353-1360.
    26. Marina Romaguera de la Cruz, 2017. "Economic insecurity in Spain: A multidimensional analysis," Working Papers 448, ECINEQ, Society for the Study of Economic Inequality.
    27. Rogge, Nicky, 2019. "EU countries’ progress towards ‘Europe 2020 strategy targets’," Journal of Policy Modeling, Elsevier, vol. 41(2), pages 255-272.
    28. Fahad Bin Abdullah & Rizwan Iqbal & Sadique Ahmad & Mohammed A. El-Affendi & Maria Abdullah, 2022. "An Empirical Analysis of Sustainable Energy Security for Energy Policy Recommendations," Sustainability, MDPI, vol. 14(10), pages 1-28, May.
    29. Annalina Sarra & Eugenia Nissi, 2020. "A Spatial Composite Indicator for Human and Ecosystem Well-Being in the Italian Urban Areas," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 353-377, April.
    30. Mariam Camarero & Juana Castillo & Andrés J. Picazo-Tadeo & Cecilio Tamarit, 2011. "Eco-efficiency and convergence in OECD countries," Working Papers 1116, Department of Applied Economics II, Universidad de Valencia.
    31. Nicky Rogge & Ilse Nijverseel, 2019. "Quality of Life in the European Union: A Multidimensional Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(2), pages 765-789, January.
    32. Matteo Mazziotta & Adriano Pareto, 2022. "Composite Indices Construction: The Performance Interval Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(2), pages 541-551, June.
    33. Mohammad Tariq Al Fozaie, 2023. "The 'Bad Behavior Index': A Composite Measure of the Development Hindering Behavior of Individuals and Institutions," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 70(1), pages 115-161, March.
    34. Mariano, Enzo Barberio & Sobreiro, Vinicius Amorim & Rebelatto, Daisy Aparecida do Nascimento, 2015. "Human development and data envelopment analysis: A structured literature review," Omega, Elsevier, vol. 54(C), pages 33-49.
    35. Chengjun Liu & Fuqiang Nie & Dong Ren, 2021. "Temporal and Spatial Evolution of China's Human Development Index and Its Determinants: An Extended Study Based on Five New Development Concepts," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 247-282, August.
    36. Chris Tofallis, 2013. "An automatic-democratic approach to weight setting for the new human development index," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1325-1345, October.
    37. Ferraz, Diogo & Moralles, Herick Fernando & Costa, Naijela Silveira da & Nascimento, Daisy do, 2022. "Economic complexity and human development: comparing standard and slack-based data envelopment analysis models," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    38. Stéphane Blancard & Jean-François Hoarau, 2011. "Optimizing the new formulation of the United Nations' human development index: An empirical view from data envelopment analysis," Economics Bulletin, AccessEcon, vol. 31(1), pages 989-1003.
    39. Van Puyenbroeck, Tom & Rogge, Nicky, 2017. "Geometric mean quantity index numbers with Benefit-of-the-Doubt weights," European Journal of Operational Research, Elsevier, vol. 256(3), pages 1004-1014.
    40. Maričić Milica & Bulajić Milica & Radojičić Zoran & Jeremić Veljko, 2019. "Shedding Light on the Doing Business Index: a Machine Learning Approach," Business Systems Research, Sciendo, vol. 10(2), pages 73-84, September.
    41. Pereira, Javier & Contreras, Pedro & Morais, Danielle C. & Arroyo-López, Pilar, 2022. "A multi-criteria and stochastic robustness analysis approach to compare nations sustainability," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    42. Panagiotis Ravanos & Giannis Karagiannis, 2021. "A VEA Benefit-of-the-Doubt Model for the HDI," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 27-46, May.
    43. Javier Bilbao-Ubillos, 2013. "Another Approach to Measuring Human Development: The Composite Dynamic Human Development Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 111(2), pages 473-484, April.
    44. Enzo Barberio Mariano & Diogo Ferraz & Simone Cristina Oliveira Gobbo, 2021. "The Human Development Index with Multiple Data Envelopment Analysis Approaches: A Comparative Evaluation Using Social Network Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(2), pages 443-500, September.
    45. Yelin Fu & Kong Xiangtianrui & Hao Luo & Lean Yu, 2020. "Constructing Composite Indicators with Collective Choice and Interval-Valued TOPSIS: The Case of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 117-135, November.
    46. O. Flores Baquero & J. Gallego-Ayala & R. Giné-Garriga & A. Jiménez-Fernández. Palencia & A. Pérez-Foguet, 2017. "The Influence of the Human Rights to Water and Sanitation Normative Content in Measuring the Level of Service," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(2), pages 763-786, September.
    47. Maricic, Milica & Bulajic, Milica & Dobrota, Marina & Jeremic, Veljko, 2016. "Redesigning The Global Food Security Index: A Multivariate Composite I-Distance Indicator Approach," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 4(1), pages 1-18, January.
    48. Antonio Sianes & Manuel Dorado-Moreno & César Hervás-Martínez, 2014. "Rating the Rich: An Ordinal Classification to Determine Which Rich Countries are Helping Poorer Ones the Most," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 47-65, March.
    49. Omrani, Hashem & Alizadeh, Arash & Amini, Mohaddeseh, 2020. "A new approach based on BWM and MULTIMOORA methods for calculating semi-human development index: An application for provinces of Iran," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    50. Yang Ding & Yelin Fu & Kin Keung Lai & W. K. John Leung, 2018. "Using Ranked Weights and Acceptability Analysis to Construct Composite Indicators: A Case Study of Regional Sustainable Society Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 871-885, October.
    51. Riccardo Natoli & Segu Zuhair, 2011. "Measuring Progress: A Comparison of the GDP, HDI, GS and the RIE," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 103(1), pages 33-56, August.
    52. Vidoli, F.; & Fusco, E.; & Pignataro, G.; & Guccio, C.;, 2023. "Multi-directional Robust Benefit of the Doubt model: a comprehensive measure for the quality of health care in OECD countries," Health, Econometrics and Data Group (HEDG) Working Papers 23/14, HEDG, c/o Department of Economics, University of York.
    53. Shih-Heng Yu, 2019. "Benchmarking and Performance Evaluation Towards the Sustainable Development of Regions in Taiwan: A Minimum Distance-Based Measure with Undesirable Outputs in Additive DEA," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1323-1348, August.
    54. Francesca Giambona & Erasmo Vassallo, 2013. "Composite Indicator of Financial Development in a Benefit-of-Doubt Approach," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 42(2), pages 171-202, July.
    55. Tianjiao Wang & Yelin Fu, 2020. "Constructing Composite Indicators with Individual Judgements and Best–Worst Method: An Illustration of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 1-14, May.
    56. Raquel Lourenço Carvalhal Monteiro & Valdecy Pereira & Helder Gomes Costa, 2018. "A Multicriteria Approach to the Human Development Index Classification," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(2), pages 417-438, April.
    57. Põldaru, Reet & Roots, Jüri, 2014. "A PCA–DEA approach to measure the quality of life in Estonian counties," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 65-73.
    58. Diego García‐Vélez & José J. Nuñez Velázquez, 2021. "A network analysis approach in multidimensional poverty," Poverty & Public Policy, John Wiley & Sons, vol. 13(1), pages 59-68, March.
    59. José Sobreiro Filho & Enzo Barberio Mariano & Vinicius Amorim Sobreiro & Charbel José Chiappetta Jabbour, 2016. "Beyond the Agrarian Reform Policies in Brazil: An Empirical Study of Brazilian States from 1995 Through 2011," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(3), pages 1093-1114, December.
    60. Susanna Sironen & Jyri Seppälä & Pekka Leskinen, 2015. "Towards more non-compensatory sustainable society index," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(3), pages 587-621, June.
    61. L. P. Zhang & P. Zhou, 2019. "Reassessment of global climate risk: non-compensatory or compensatory?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 271-287, January.
    62. Anna Łozowicka & Bartłomiej Lach, 2022. "CI-DEA: A Way to Improve the Discriminatory Power of DEA—Using the Example of the Efficiency Assessment of the Digitalization in the Life of the Generation 50+," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    63. Michela Gnaldi & M. Giovanna Ranalli, 2016. "Measuring University Performance by Means of Composite Indicators: A Robustness Analysis of the Composite Measure Used for the Benchmark of Italian Universities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 659-675, November.
    64. Rogge, Nicky & De Jaeger, Simon & Lavigne, Carolien, 2017. "Waste Performance of NUTS 2-regions in the EU: A Conditional Directional Distance Benefit-of-the-Doubt Model," Ecological Economics, Elsevier, vol. 139(C), pages 19-32.
    65. Giménez, Víctor & Ayvar-Campos, Francisco Javier & Navarro-Chávez, José César Lenin, 2017. "Efficiency in the generation of social welfare in Mexico: A proposal in the presence of bad outputs," Omega, Elsevier, vol. 69(C), pages 43-52.
    66. Nicky Rogge & Emilia Konttinen, 2018. "Social Inclusion in the EU Since the Enlargement: Progress or Regress?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(2), pages 563-584, January.
    67. Rogge, Nicky, 2018. "Composite indicators as generalized benefit-of-the-doubt weighted averages," European Journal of Operational Research, Elsevier, vol. 267(1), pages 381-392.
    68. Wang, H., 2015. "A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator," Energy, Elsevier, vol. 80(C), pages 114-122.
    69. Sandra E. Parada & Olga Blasco-Blasco & Vicente Liern, 2019. "Adequacy Indicators Based on Pre-established Goals: An Implementation in a Colombian University," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 1-24, May.
    70. Ibuchim Cyril Ogunkah & Junli Yang, 2013. "Factors Affecting the Selection of Low-Cost Green Building Materials in Housing Construction," International Journal of Sciences, Office ijSciences, vol. 2(09), pages 41-75, September.
    71. Mohsin, M. & Zhou, P. & Iqbal, N. & Shah, S.A.A., 2018. "Assessing oil supply security of South Asia," Energy, Elsevier, vol. 155(C), pages 438-447.
    72. Ernest Reig, 2012. "Building an Enlarged Human Development Indicator: Europe and the Southern Mediterranean Basin," Working Papers 1203, Department of Applied Economics II, Universidad de Valencia.
    73. Inna Gryshova & Mykola Kyzym & Irina Hubarieva & Viktoriia Khaustova & Anatoly Livinskyi & Mykola Koroshenko, 2020. "Assessment of the EU and Ukraine Economic Security and Its Influence on Their Sustainable Economic Development," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    74. Omrani, Hashem & Fahimi, Pegah & Mahmoodi, Abdollah, 2020. "A data envelopment analysis game theory approach for constructing composite indicator: An application to find out development degree of cities in West Azarbaijan province of Iran," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    75. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    76. Wang, H. & Zhou, P. & Wang, Qunwei, 2016. "Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach," Energy, Elsevier, vol. 101(C), pages 218-228.
    77. Stergios Athanassoglou, 2016. "Revisiting Worst-Case DEA for Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1259-1272, September.

  124. Donglan, Zha & Dequn, Zhou & Peng, Zhou, 2010. "Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis," Energy Policy, Elsevier, vol. 38(7), pages 3377-3383, July.

    Cited by:

    1. Zhao, Jincai & Ji, Guangxing & Yue, YanLin & Lai, Zhizhu & Chen, Yulong & Yang, Dongyang & Yang, Xu & Wang, Zheng, 2019. "Spatio-temporal dynamics of urban residential CO2 emissions and their driving forces in China using the integrated two nighttime light datasets," Applied Energy, Elsevier, vol. 235(C), pages 612-624.
    2. Jiqun Wen & Xiaowei Chuai & Shanchi Li & Song Song & Yuanwei Li & Mengjie Wang & Shuosheng Wu, 2019. "Spatial Heterogeneity of the Carbon Emission Effect Resulting from Urban Expansion among Three Coastal Agglomerations in China," Sustainability, MDPI, vol. 11(17), pages 1-20, August.
    3. Xianzhao Liu & Xu Yang & Ruoxin Guo, 2020. "Regional Differences in Fossil Energy-Related Carbon Emissions in China’s Eight Economic Regions: Based on the Theil Index and PLS-VIP Method," Sustainability, MDPI, vol. 12(7), pages 1-24, March.
    4. Li, Jin & Hu, Shanying, 2017. "History and future of the coal and coal chemical industry in China," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 13-24.
    5. Chen, Qian & Zha, Donglan & Wang, Lijun & Yang, Guanglei, 2022. "The direct CO2 rebound effect in households: Evidence from China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    6. Lu, Shibao & Wang, Jianhua & Shang, Yizi & Bao, Haijun & Chen, Huixiong, 2017. "Potential assessment of optimizing energy structure in the city of carbon intensity target," Applied Energy, Elsevier, vol. 194(C), pages 765-773.
    7. Xuankai Deng & Yanhua Yu & Yanfang Liu, 2015. "Effect of Construction Land Expansion on Energy-Related Carbon Emissions: Empirical Analysis of China and Its Provinces from 2001 to 2011," Energies, MDPI, vol. 8(6), pages 1-22, June.
    8. Yu, Wei & Pagani, Roberto & Huang, Lei, 2012. "CO2 emission inventories for Chinese cities in highly urbanized areas compared with European cities," Energy Policy, Elsevier, vol. 47(C), pages 298-308.
    9. Liyuan Fu & Qing Wang, 2022. "Spatial and Temporal Distribution and the Driving Factors of Carbon Emissions from Urban Production Energy Consumption," IJERPH, MDPI, vol. 19(19), pages 1-29, September.
    10. Liu, Xianmei & Peng, Rui & Zhong, Chao & Wang, Mingyue & Guo, Pibin, 2021. "What drives the temporal and spatial differences of CO2 emissions in the transport sector? Empirical evidence from municipalities in China," Energy Policy, Elsevier, vol. 159(C).
    11. Tian, Lixin & Jin, Rulei, 2012. "Theoretical exploration of carbon emissions dynamic evolutionary system and evolutionary scenario analysis," Energy, Elsevier, vol. 40(1), pages 376-386.
    12. Shiraki, Hiroto & Matsumoto, Ken'ichi & Shigetomi, Yosuke & Ehara, Tomoki & Ochi, Yuki & Ogawa, Yuki, 2020. "Factors affecting CO2 emissions from private automobiles in Japan: The impact of vehicle occupancy," Applied Energy, Elsevier, vol. 259(C).
    13. Yu, Shiwei & Wei, Yi-Ming & Guo, Haixiang & Ding, Liping, 2014. "Carbon emission coefficient measurement of the coal-to-power energy chain in China," Applied Energy, Elsevier, vol. 114(C), pages 290-300.
    14. Wenheng Wu & Hongying Zhu & Yinghao Qu & Kaiying Xu, 2017. "Regional Disparities in Emissions of Rural Household Energy Consumption: A Case Study of Northwest China," Sustainability, MDPI, vol. 9(5), pages 1-17, May.
    15. Tao Lin & Junna Yan, 2017. "Investigating the sensitivity factors of household indirect CO2 emission from the production side," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 721-740, September.
    16. Chen, B. & Li, J.S. & Zhou, S.L. & Yang, Q. & Chen, G.Q., 2018. "GHG emissions embodied in Macao's internal energy consumption and external trade: Driving forces via decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4100-4106.
    17. Fang Guo & Tao Zhao & Yanan Wang & Yue Wang, 2016. "Estimating the abatement potential of provincial carbon intensity based on the environmental learning curve model in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 685-705, October.
    18. Xiaoxia Shi & Haiyun Liu & Joshua Sunday Riti, 2019. "The role of energy mix and financial development in greenhouse gas (GHG) emissions’ reduction: evidence from ten leading CO2 emitting countries," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(3), pages 695-729, October.
    19. Yueyue Rong & Junsong Jia & Min Ju & Chundi Chen & Yangming Zhou & Yexi Zhong, 2021. "Multi-Perspective Analysis of Household Carbon Dioxide Emissions from Direct Energy Consumption by the Methods of Logarithmic Mean Divisia Index and σ Convergence in Central China," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    20. Yong Yang & Junsong Jia & Chundi Chen, 2020. "Residential Energy-Related CO 2 Emissions in China’s Less Developed Regions: A Case Study of Jiangxi," Sustainability, MDPI, vol. 12(5), pages 1-28, March.
    21. Xu, Xianshuo & Zhao, Tao & Liu, Nan & Kang, Jidong, 2014. "Changes of energy-related GHG emissions in China: An empirical analysis from sectoral perspective," Applied Energy, Elsevier, vol. 132(C), pages 298-307.
    22. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
    23. Chen, Jiandong & Cheng, Shulei & Song, Malin, 2018. "Changes in energy-related carbon dioxide emissions of the agricultural sector in China from 2005 to 2013," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 748-761.
    24. Fan, Jing-Li & Liao, Hua & Liang, Qiao-Mei & Tatano, Hirokazu & Liu, Chun-Feng & Wei, Yi-Ming, 2013. "Residential carbon emission evolutions in urban–rural divided China: An end-use and behavior analysis," Applied Energy, Elsevier, vol. 101(C), pages 323-332.
    25. Xinkuo Xu & Liyan Han, 2017. "Diverse Effects of Consumer Credit on Household Carbon Emissions at Quantiles: Evidence from Urban China," Sustainability, MDPI, vol. 9(9), pages 1-25, September.
    26. Hongguang Nie & René Kemp & Véronique Vasseur, 2020. "Exploring the Changing Gap of Residential Energy Consumption per Capita in China and the Netherlands: A Comparative Analysis of Driving Forces," Sustainability, MDPI, vol. 12(11), pages 1-17, June.
    27. Yeongjun Yeo & Dongnyok Shim & Jeong-Dong Lee & Jörn Altmann, 2015. "Driving Forces of CO 2 Emissions in Emerging Countries: LMDI Decomposition Analysis on China and India’s Residential Sector," Sustainability, MDPI, vol. 7(12), pages 1-22, December.
    28. Zhang, Ming & Guo, Fangyan, 2013. "Analysis of rural residential commercial energy consumption in China," Energy, Elsevier, vol. 52(C), pages 222-229.
    29. Chen, Jiandong & Cheng, Shulei & Song, Malin, 2017. "Decomposing inequality in energy-related CO2 emissions by source and source increment: The roles of production and residential consumption," Energy Policy, Elsevier, vol. 107(C), pages 698-710.
    30. Huang, Junbing & Li, Xinghao & Wang, Yajun & Lei, Hongyan, 2021. "The effect of energy patents on China's carbon emissions: Evidence from the STIRPAT model," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    31. Yue, Ting & Long, Ruyin & Chen, Hong & Zhao, Xin, 2013. "The optimal CO2 emissions reduction path in Jiangsu province: An expanded IPAT approach," Applied Energy, Elsevier, vol. 112(C), pages 1510-1517.
    32. Xu, Chong, 2023. "Towards balanced low-carbon development: Driver and complex network of urban-rural energy-carbon performance gap in China," Applied Energy, Elsevier, vol. 333(C).
    33. Fan, Jianshuang & Zhou, Lin & Zhang, Yan & Shao, Shuai & Ma, Miao, 2021. "How does population aging affect household carbon emissions? Evidence from Chinese urban and rural areas," Energy Economics, Elsevier, vol. 100(C).
    34. Ding, Qun & Cai, Wenjia & Wang, Can & Sanwal, Mukul, 2017. "The relationships between household consumption activities and energy consumption in china— An input-output analysis from the lifestyle perspective," Applied Energy, Elsevier, vol. 207(C), pages 520-532.
    35. Muhammad Yousaf Raza & Yingchao Chen & Songlin Tang, 2022. "Assessing the Green R&D Investment and Patent Generation in Pakistan towards CO 2 Emissions Reduction with a Novel Decomposition Framework," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
    36. Haiyan Zhang & Michael L. Lahr, 2018. "Households’ Energy Consumption Change in China: A Multi-Regional Perspective," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    37. Ang, B.W. & Wang, H., 2015. "Index decomposition analysis with multidimensional and multilevel energy data," Energy Economics, Elsevier, vol. 51(C), pages 67-76.
    38. Xiaofeng Lv & Kun Lin & Lingshan Chen & Yongzhong Zhang, 2022. "Does Retirement Affect Household Energy Consumption Structure? Evidence from a Regression Discontinuity Design," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
    39. Yang, Tao & Pan, Yiqun & Yang, Yikun & Lin, Meishun & Qin, Bingyue & Xu, Peng & Huang, Zhizhong, 2017. "CO2 emissions in China's building sector through 2050: A scenario analysis based on a bottom-up model," Energy, Elsevier, vol. 128(C), pages 208-223.
    40. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    41. Liu, Gengyuan & Hao, Yan & Zhou, Yun & Yang, Zhifeng & Zhang, Yan & Su, Meirong, 2016. "China's low-carbon industrial transformation assessment based on Logarithmic Mean Divisia Index model," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 156-170.
    42. Liao, Hua & Du, Jian & Wei, Yi-Ming, 2013. "Energy conservation in China: Key provincial sectors at two-digit level," Applied Energy, Elsevier, vol. 104(C), pages 457-465.
    43. Dequn Zhou & Xiao Liu & Peng Zhou & Qunwei Wang, 2017. "Decomposition Analysis of Aggregate Energy Consumption in China: An Exploration Using a New Generalized PDA Method," Sustainability, MDPI, vol. 9(5), pages 1-13, April.
    44. Yuzhuo Huang & Yosuke Shigetomi & Andrew Chapman & Ken’ichi Matsumoto, 2019. "Uncovering Household Carbon Footprint Drivers in an Aging, Shrinking Society," Energies, MDPI, vol. 12(19), pages 1-18, September.
    45. Ming Zhang & Yan Song, 2015. "Exploring influence factors governing the changes in China’s final energy consumption under a new framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(1), pages 653-668, August.
    46. Zhang, Xiaoling & Wang, Yue, 2017. "How to reduce household carbon emissions: A review of experience and policy design considerations," Energy Policy, Elsevier, vol. 102(C), pages 116-124.
    47. Zhu, Qin & Peng, Xizhe & Wu, Kaiya, 2012. "Calculation and decomposition of indirect carbon emissions from residential consumption in China based on the input–output model," Energy Policy, Elsevier, vol. 48(C), pages 618-626.
    48. Rogan, Fionn & Cahill, Caiman J. & Ó Gallachóir, Brian P., 2012. "Decomposition analysis of gas consumption in the residential sector in Ireland," Energy Policy, Elsevier, vol. 42(C), pages 19-36.
    49. Fenghua Wen & Zhanlin Sun & Yu Luo, 2023. "Population Structure and Local Carbon Emission Reduction: Evidence from Guangdong, China," Sustainability, MDPI, vol. 15(5), pages 1-27, February.
    50. Yuling Sun & Junsong Jia & Min Ju & Chundi Chen, 2022. "Spatiotemporal Dynamics of Direct Carbon Emission and Policy Implication of Energy Transition for China’s Residential Consumption Sector by the Methods of Social Network Analysis and Geographically We," Land, MDPI, vol. 11(7), pages 1-26, July.
    51. Yu Sang Chang & Dosoung Choi & Hann Earl Kim, 2017. "Dynamic Trends of Carbon Intensities among 127 Countries," Sustainability, MDPI, vol. 9(12), pages 1-21, December.
    52. Meng, Ming & Niu, Dongxiao & Shang, Wei, 2012. "CO2 emissions and economic development: China's 12th five-year plan," Energy Policy, Elsevier, vol. 42(C), pages 468-475.
    53. Zhao, Bingyu & Yang, Wanping, 2020. "Does financial development influence CO2 emissions? A Chinese province-level study," Energy, Elsevier, vol. 200(C).
    54. Zhang, Xing-Ping & Zhang, Jing & Tan, Qin-Liang, 2013. "Decomposing the change of CO2 emissions: A joint production theoretical approach," Energy Policy, Elsevier, vol. 58(C), pages 329-336.
    55. Holzmann, Angela & Adensam, Heidelinde & Kratena, Kurt & Schmid, Erwin, 2013. "Decomposing final energy use for heating in the residential sector in Austria," Energy Policy, Elsevier, vol. 62(C), pages 607-616.
    56. Hu, Zongyi & Tang, Liwei, 2013. "Exploring the relation between urbanization and residential CO2 emissions in China: a PTR approach," MPRA Paper 55379, University Library of Munich, Germany.
    57. Wenjia Peng & Brian E. Robinson & Hua Zheng & Cong Li & Fengchun Wang & Ruonan Li, 2019. "Telecoupled Sustainable Livelihoods in an Era of Rural–Urban Dynamics: The Case of China," Sustainability, MDPI, vol. 11(9), pages 1-17, May.
    58. Lingyun Mi & Tianwen Jia & Yang Yang & Lulu Jiang & Bangjun Wang & Tao Lv & Le Li & Junfeng Cao, 2021. "Evaluating the Effectiveness of Regional Ecological Civilization Policy: Evidence from Jiangsu Province, China," IJERPH, MDPI, vol. 19(1), pages 1-20, December.
    59. Huang, Yun-Hsun, 2020. "Examining impact factors of residential electricity consumption in Taiwan using index decomposition analysis based on end-use level data," Energy, Elsevier, vol. 213(C).
    60. Zhaohua Wang & Wei Liu & Jianhua Yin, 2015. "Driving forces of indirect carbon emissions from household consumption in China: an input–output decomposition analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 257-272, February.
    61. Shu Yang & Dingtao Zhao & Yanrui Wu & Jin Fan, 2013. "Regional Variation in Carbon Emissions and its Driving Forces in China: An Index Decomposition Analysis," Energy & Environment, , vol. 24(7-8), pages 1249-1270, December.
    62. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2015. "Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 51(C), pages 252-260.
    63. Wang, Qiang & Wu, Shi-dai & Zeng, Yue-e & Wu, Bo-wei, 2016. "Exploring the relationship between urbanization, energy consumption, and CO2 emissions in different provinces of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1563-1579.
    64. Li, Jianglong & Chen, Chang & Liu, Hongxun, 2019. "Transition from non-commercial to commercial energy in rural China: Insights from the accessibility and affordability," Energy Policy, Elsevier, vol. 127(C), pages 392-403.
    65. Du, Kerui & Xie, Chunping & Ouyang, Xiaoling, 2017. "A comparison of carbon dioxide (CO2) emission trends among provinces in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 19-25.
    66. Nie, Hongguang & Kemp, René, 2014. "Index decomposition analysis of residential energy consumption in China: 2002–2010," Applied Energy, Elsevier, vol. 121(C), pages 10-19.
    67. Zhen, Wei & Qin, Quande & Wei, Yi-Ming, 2017. "Spatio-temporal patterns of energy consumption-related GHG emissions in China's crop production systems," Energy Policy, Elsevier, vol. 104(C), pages 274-284.
    68. Shigetomi, Yosuke & Matsumoto, Ken'ichi & Ogawa, Yuki & Shiraki, Hiroto & Yamamoto, Yuki & Ochi, Yuki & Ehara, Tomoki, 2018. "Driving forces underlying sub-national carbon dioxide emissions within the household sector and implications for the Paris Agreement targets in Japan," Applied Energy, Elsevier, vol. 228(C), pages 2321-2332.
    69. Xuan, Yanni & Yue, Qiang, 2016. "Forecast of steel demand and the availability of depreciated steel scrap in China," Resources, Conservation & Recycling, Elsevier, vol. 109(C), pages 1-12.
    70. Xingpeng Chen & Jiaxing Pang & Zilong Zhang & Hengji Li, 2014. "Sustainability Assessment of Solid Waste Management in China: A Decoupling and Decomposition Analysis," Sustainability, MDPI, vol. 6(12), pages 1-14, December.
    71. Chen, Jiandong & Xu, Chong & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2019. "Driving factors of CO2 emissions and inequality characteristics in China: A combined decomposition approach," Energy Economics, Elsevier, vol. 78(C), pages 589-597.
    72. Jiaojiao Yang & Ting Wang & Yujie Hu & Qiyun Deng & Shu Mo, 2023. "Comparative Analysis of Research Trends and Hotspots of Foreign and Chinese Building Carbon Emissions Based on Bibliometrics," Sustainability, MDPI, vol. 15(13), pages 1-24, June.
    73. Xiaoli Hao & Yuhong Li & Ume Lail, 2022. "Sustainable development with city, industry, economic and environment: The role of city-industry integration on green economic growth," Journal of Regional Economics, Anser Press, vol. 1(1), pages 1-23, December.
    74. Jingyuan Li & Jinhua Cheng & Beidi Diao & Yaqi Wu & Peiqi Hu & Shurui Jiang, 2021. "Social and Economic Factors of Industrial Carbon Dioxide in China: From the Perspective of Spatiotemporal Transition," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    75. Xiaowei Ma & Mei Wang & Chuandong Li, 2019. "A Summary on Research of Household Energy Consumption: A Bibliometric Analysis," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    76. Al-mulali, Usama & Fereidouni, Hassan Gholipour & Lee, Janice Y.M. & Sab, Che Normee Binti Che, 2013. "Exploring the relationship between urbanization, energy consumption, and CO2 emission in MENA countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 107-112.
    77. Rui Huang & Shaohui Zhang & Changxin Liu, 2018. "Comparing Urban and Rural Household CO 2 Emissions—Case from China’s Four Megacities: Beijing, Tianjin, Shanghai, and Chongqing," Energies, MDPI, vol. 11(5), pages 1-17, May.
    78. Vaninsky, Alexander, 2014. "Factorial decomposition of CO2 emissions: A generalized Divisia index approach," Energy Economics, Elsevier, vol. 45(C), pages 389-400.
    79. Kuşkaya, Sevda, 2022. "Residential solar energy consumption and greenhouse gas nexus: Evidence from Morlet wavelet transforms," Renewable Energy, Elsevier, vol. 192(C), pages 793-804.
    80. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    81. Zeng, Lin & Xu, Ming & Liang, Sai & Zeng, Siyu & Zhang, Tianzhu, 2014. "Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 640-647.
    82. Hu, Junfeng & Kahrl, Fredrich & Yan, Qingyou & Wang, Xiaoya, 2012. "The impact of China's differential electricity pricing policy on power sector CO2 emissions," Energy Policy, Elsevier, vol. 45(C), pages 412-419.
    83. Edziah, Bless Kofi & Sun, Huaping & Adom, Philip Kofi & Wang, Feng & Agyemang, Andrew Osei, 2022. "The role of exogenous technological factors and renewable energy in carbon dioxide emission reduction in Sub-Saharan Africa," Renewable Energy, Elsevier, vol. 196(C), pages 1418-1428.
    84. Xu, X.Y. & Ang, B.W., 2014. "Analysing residential energy consumption using index decomposition analysis," Applied Energy, Elsevier, vol. 113(C), pages 342-351.
    85. Sirous Ghanbari & Mohammad Reza Mansouri Daneshvar, 2021. "Urban and rural contribution to the GHG emissions in the MECA countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 6418-6452, April.
    86. Wang, Shaojian & Fang, Chuanglin & Guan, Xingliang & Pang, Bo & Ma, Haitao, 2014. "Urbanisation, energy consumption, and carbon dioxide emissions in China: A panel data analysis of China’s provinces," Applied Energy, Elsevier, vol. 136(C), pages 738-749.
    87. Zhang, Xing-Ping & Tan, Ya-Kun & Tan, Qin-Liang & Yuan, Jia-Hai, 2012. "Decomposition of aggregate CO2 emissions within a joint production framework," Energy Economics, Elsevier, vol. 34(4), pages 1088-1097.
    88. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry," Energy, Elsevier, vol. 68(C), pages 688-697.
    89. Al-mulali, Usama & Binti Che Sab, Che Normee & Fereidouni, Hassan Gholipour, 2012. "Exploring the bi-directional long run relationship between urbanization, energy consumption, and carbon dioxide emission," Energy, Elsevier, vol. 46(1), pages 156-167.
    90. Jingjing Chen & Yangyang Lin & Xiaojun Wang & Bingjing Mao & Lihong Peng, 2022. "Direct and Indirect Carbon Emission from Household Consumption Based on LMDI and SDA Model: A Decomposition and Comparison Analysis," Energies, MDPI, vol. 15(14), pages 1-22, July.
    91. Wen, Hong-xing & Chen, Zhe & Yang, Qian & Liu, Jin-yi & Nie, Pu-yan, 2022. "Driving forces and mitigating strategies of CO2 emissions in China: A decomposition analysis based on 38 industrial sub-sectors," Energy, Elsevier, vol. 245(C).
    92. Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
    93. Thomas R. Sadler & Schuyler B. Bucher & Dikssha Sehgal, 2022. "The Driving Forces of Energy-Related CO2 Emissions in the United States: A Decomposition Analysis," Energy and Environment Research, Canadian Center of Science and Education, vol. 12(2), pages 1-1, December.
    94. Ouyang, Xiaoling & Lin, Boqiang, 2015. "An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 838-849.
    95. Herui Cui & Ruirui Wu & Tian Zhao, 2018. "Decomposition and Forecasting of CO 2 Emissions in China’s Power Sector Based on STIRPAT Model with Selected PLS Model and a Novel Hybrid PLS-Grey-Markov Model," Energies, MDPI, vol. 11(11), pages 1-19, November.
    96. Zhou, Qiang & Liu, Yong & Qu, Shen, 2022. "Emission effects of China's rural revitalization: The nexus of infrastructure investment, household income, and direct residential CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    97. Fang, Yiping & Wei, Yanqiang, 2013. "Climate change adaptation on the Qinghai–Tibetan Plateau: The importance of solar energy utilization for rural household," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 508-518.
    98. Pedro J. Zarco-Periñán & Fco Javier Zarco-Soto & Irene M. Zarco-Soto & José L. Martínez-Ramos & Rafael Sánchez-Durán, 2022. "CO 2 Emissions in Buildings: A Synopsis of Current Studies," Energies, MDPI, vol. 15(18), pages 1-10, September.
    99. Zhu, Zhi-Shuang & Liao, Hua & Cao, Huai-Shu & Wang, Lu & Wei, Yi-Ming & Yan, Jinyue, 2014. "The differences of carbon intensity reduction rate across 89 countries in recent three decades," Applied Energy, Elsevier, vol. 113(C), pages 808-815.
    100. Román-Collado, Rocío & Cansino, José M. & Botia, Camilo, 2018. "How far is Colombia from decoupling? Two-level decomposition analysis of energy consumption changes," Energy, Elsevier, vol. 148(C), pages 687-700.
    101. Lina Liu & Jiansheng Qu & Afton Clarke-Sather & Tek Narayan Maraseni & Jiaxing Pang, 2017. "Spatial Variations and Determinants of Per Capita Household CO 2 Emissions (PHCEs) in China," Sustainability, MDPI, vol. 9(7), pages 1-19, July.
    102. Suwin Sandu & Muyi Yang & Teuku Meurah Indra Mahlia & Wongkot Wongsapai & Hwai Chyuan Ong & Nandy Putra & S. M. Ashrafur Rahman, 2019. "Energy-Related CO 2 Emissions Growth in ASEAN Countries: Trends, Drivers and Policy Implications," Energies, MDPI, vol. 12(24), pages 1-15, December.
    103. Feng Dong & Yifei Hua & Bolin Yu, 2018. "Peak Carbon Emissions in China: Status, Key Factors and Countermeasures—A Literature Review," Sustainability, MDPI, vol. 10(8), pages 1-34, August.
    104. Qiang Du & Xinran Lu & Yi Li & Min Wu & Libiao Bai & Ming Yu, 2018. "Carbon Emissions in China’s Construction Industry: Calculations, Factors and Regions," IJERPH, MDPI, vol. 15(6), pages 1-17, June.

  125. P. Zhou & B. Ang, 2009. "Comparing MCDA Aggregation Methods in Constructing Composite Indicators Using the Shannon-Spearman Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(1), pages 83-96, October.

    Cited by:

    1. Vijaya Krishnan, 2015. "Development of a Multidimensional Living Conditions Index (LCI)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(2), pages 455-481, January.
    2. P. Zhou & B. Ang & D. Zhou, 2010. "Weighting and Aggregation in Composite Indicator Construction: a Multiplicative Optimization Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 96(1), pages 169-181, March.
    3. Peng Zhang & Yuwei Zhang & Nuo Xu, 2022. "Measurement of carbon finance level and exploration of its influencing factors," Papers 2206.00189, arXiv.org.
    4. Marco Marozzi, 2021. "Perceived Justifiability Towards Morally Debatable Behaviors Across Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(2), pages 759-778, January.
    5. Zhou, P. & Delmas, M.A. & Kohli, A., 2017. "Constructing meaningful environmental indices: A nonparametric frontier approach," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 21-34.
    6. Carrillo, Marianela & Jorge, Jesús M., 2017. "Multidimensional Analysis of Regional Tourism Sustainability in Spain," Ecological Economics, Elsevier, vol. 140(C), pages 89-98.
    7. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    8. Marco Marozzi, 2015. "Measuring Trust in European Public Institutions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(3), pages 879-895, September.
    9. Lin, Chia-Yang & Chau, Ka Yin & Tran, Trung Kien & Sadiq, Muhammad & Van, Le & Hien Phan, Thi Thu, 2022. "Development of renewable energy resources by green finance, volatility and risk: Empirical evidence from China," Renewable Energy, Elsevier, vol. 201(P1), pages 821-831.
    10. Olga Blasco-Blasco & Marina Liern-García & Aarón López-García & Sandra E. Parada-Rico, 2021. "An Academic Performance Indicator Using Flexible Multi-Criteria Methods," Mathematics, MDPI, vol. 9(19), pages 1-19, September.
    11. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2013. "An evaluation framework for oil import security based on the supply chain with a case study focused on China," Energy Economics, Elsevier, vol. 38(C), pages 87-95.
    12. Lozano-Oyola, Macarena & Contreras, Ignacio & Blancas, Francisco Javier, 2019. "An Operational Non-compensatory Composite Indicator: Measuring Sustainable Tourism in Andalusian Urban Destinations," Ecological Economics, Elsevier, vol. 159(C), pages 1-10.
    13. Yanni Yu & Yongrok Choi, 2015. "Measuring Environmental Performance Under Regional Heterogeneity in China: A Metafrontier Efficiency Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 375-388, October.
    14. Ju, Keyi & Su, Bin & Zhou, Dequn & Zhou, P. & Zhang, Yuqiang, 2015. "Oil price crisis response: Capability assessment and key indicator identification," Energy, Elsevier, vol. 93(P2), pages 1353-1360.
    15. Leonardo Casini & Fabio Boncinelli & Caterina Contini & Francesca Gerini & Gabriele Scozzafava, 2019. "A Multicriteria Approach for Well-Being Assessment in Rural Areas," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 411-432, May.
    16. Edson Kogachi & Adonias Ferreira & Carlos Cavalcante & Marcelo Embiruçu, 2021. "Development of Performance Evaluation Indicators for Table Grape Packaging Units. 2. Global Indexes," Sustainability, MDPI, vol. 13(11), pages 1-16, June.
    17. Pu, Xiaohong & Zeng, Ming & Zhang, Weike, 2023. "Corporate sustainable development driven by high-quality innovation: Does fiscal decentralization really matter?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 273-289.
    18. Zhang, Ning & Kong, Fanbin & Choi, Yongrok, 2014. "Measuring sustainability performance for China: A sequential generalized directional distance function approach," Economic Modelling, Elsevier, vol. 41(C), pages 392-397.
    19. Shu-Kung Hu & Gwo-Hshiung Tzeng, 2019. "A Hybrid Multiple-Attribute Decision-Making Model with Modified PROMETHEE for Identifying Optimal Performance-Improvement Strategies for Sustainable Development of a Better Life," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1021-1053, August.
    20. Hasan Ture & Seyyide Dogan & Deniz Kocak, 2019. "Assessing Euro 2020 Strategy Using Multi-criteria Decision Making Methods: VIKOR and TOPSIS," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 645-665, April.
    21. Sun, Jie & Zhou, P. & Wen, Wen, 2022. "Assessing the regional adaptive capacity to renewable portfolio standard policy in China," Energy Policy, Elsevier, vol. 162(C).
    22. Danijela Despotovic & Slobodan Cvetanovic & Vladimir Nedic & Milan Despotovic, 2019. "Social Aspects of Sustainable Competitiveness in the Selected European Countries in the Period 2012–2015," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(2), pages 841-860, January.
    23. Emanuele Bellini & Evangelia Gaitanidou & Evangelos Bekiaris & Pedro Ferreira, 2020. "The RESOLUTE project’s European Resilience Management Guidelines for Critical Infrastructure: development, operationalisation and testing for the urban transport system," Environment Systems and Decisions, Springer, vol. 40(3), pages 321-341, September.
    24. Javier Bilbao-Ubillos, 2013. "Another Approach to Measuring Human Development: The Composite Dynamic Human Development Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 111(2), pages 473-484, April.
    25. Yelin Fu & Kong Xiangtianrui & Hao Luo & Lean Yu, 2020. "Constructing Composite Indicators with Collective Choice and Interval-Valued TOPSIS: The Case of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 117-135, November.
    26. Yang Ding & Yelin Fu & Kin Keung Lai & W. K. John Leung, 2018. "Using Ranked Weights and Acceptability Analysis to Construct Composite Indicators: A Case Study of Regional Sustainable Society Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 871-885, October.
    27. Riccardo Natoli & Segu Zuhair, 2011. "Measuring Progress: A Comparison of the GDP, HDI, GS and the RIE," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 103(1), pages 33-56, August.
    28. Marco Tedesco & Sheila Foster & Ana Baptista & Casey Zuzak, 2023. "A Multi-Hazard Climate, Displacement and Socio-Vulnerability Score for New York City," Sustainability, MDPI, vol. 16(1), pages 1-19, December.
    29. Fernando A. F. Ferreira & Ieva Meidutė-Kavaliauskienė & Edmundas K. Zavadskas & Marjan S. Jalali & Sandra M. J. Catarino, 2019. "A Judgment-Based Risk Assessment Framework for Consumer Loans," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 7-33, January.
    30. Tianjiao Wang & Yelin Fu, 2020. "Constructing Composite Indicators with Individual Judgements and Best–Worst Method: An Illustration of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 1-14, May.
    31. Maria A. S. Xavier & Fernando A. F. Ferreira & José P. Esperança, 2021. "An intuition-based evaluation framework for social credit applications," Annals of Operations Research, Springer, vol. 296(1), pages 571-590, January.
    32. Michela Gnaldi & M. Giovanna Ranalli, 2016. "Measuring University Performance by Means of Composite Indicators: A Robustness Analysis of the Composite Measure Used for the Benchmark of Italian Universities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 659-675, November.
    33. Maria Cristiana Martini & Luigi Fabbris, 2017. "Beyond Employment Rate: A Multidimensional Indicator of Higher Education Effectiveness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 351-370, January.
    34. Fabio Boncinelli & Leonardo Casini, 2014. "A Comparison of the Well-Being of Agricultural and Non Agricultural Households Using a Multicriterial Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(1), pages 183-195, October.
    35. Francesca Giambona & Erasmo Vassallo, 2014. "Composite Indicator of Social Inclusion for European Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 269-293, March.
    36. Mohsin, Muhammad & Taghizadeh-Hesary, Farhad & Panthamit, Nisit & Anwar, Saba & Abbas, Qaiser & Vo, Xuan Vinh, 2021. "Developing Low Carbon Finance Index: Evidence From Developed and Developing Economies," Finance Research Letters, Elsevier, vol. 43(C).
    37. Scholten, Lisa & Schuwirth, Nele & Reichert, Peter & Lienert, Judit, 2015. "Tackling uncertainty in multi-criteria decision analysis – An application to water supply infrastructure planning," European Journal of Operational Research, Elsevier, vol. 242(1), pages 243-260.
    38. Paolo Pasimeni, 2013. "The Europe 2020 Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(2), pages 613-635, January.
    39. Sandra E. Parada & Olga Blasco-Blasco & Vicente Liern, 2019. "Adequacy Indicators Based on Pre-established Goals: An Implementation in a Colombian University," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 1-24, May.
    40. Nedić, Vladimir & Despotović, Danijela & Cvetanović, Slobodan & Djukić, Tadija & Petrović, Dragan, 2020. "Institutional reforms for economic growth in the Western Balkan countries," Journal of Policy Modeling, Elsevier, vol. 42(5), pages 933-952.
    41. Mohsin, M. & Zhou, P. & Iqbal, N. & Shah, S.A.A., 2018. "Assessing oil supply security of South Asia," Energy, Elsevier, vol. 155(C), pages 438-447.
    42. Giada Feletti & Mariachiara Piraina & Boris Petrenj & Paolo Trucco, 2022. "Collaborative capability building for critical infrastructure resilience: assessment and selection of good practices," Environment Systems and Decisions, Springer, vol. 42(2), pages 207-233, June.
    43. Omrani, Hashem & Fahimi, Pegah & Mahmoodi, Abdollah, 2020. "A data envelopment analysis game theory approach for constructing composite indicator: An application to find out development degree of cities in West Azarbaijan province of Iran," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    44. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    45. Wang, H. & Zhou, P. & Wang, Qunwei, 2016. "Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach," Energy, Elsevier, vol. 101(C), pages 218-228.

  126. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "Measuring environmental performance under different environmental DEA technologies," Energy Economics, Elsevier, vol. 30(1), pages 1-14, January.

    Cited by:

    1. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas, 2021. "Improving energy use and mitigating pollutant emissions across “Three Regions and Ten Urban Agglomerations”: A city-level productivity growth decomposition," Applied Energy, Elsevier, vol. 283(C).
    2. Wu, Jie & Lv, Lin & Sun, Jiasen & Ji, Xiang, 2015. "A comprehensive analysis of China's regional energy saving and emission reduction efficiency: From production and treatment perspectives," Energy Policy, Elsevier, vol. 84(C), pages 166-176.
    3. Ke Wang & Bin Lu & Yi-Ming Wei, 2014. "China's regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," CEEP-BIT Working Papers 61, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
    5. Xianhua Wu & Yufeng Chen & Ji Guo & Ge Gao, 2018. "Inputs optimization to reduce the undesirable outputs by environmental hazards: a DEA model with data of PM2.5 in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(1), pages 1-25, January.
    6. Vlontzos, George & Niavis, Spyros & Manos, Basil, 2014. "A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 91-96.
    7. Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.
    8. Walheer, Barnabé, 2023. "Meta-frontier and technology switchers: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 305(1), pages 463-474.
    9. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    10. Jaraite, Jurate & Di Maria, Corrado, 2011. "Efficiency, Productivity and Environmental Policy: A Case Study of Power Generation in the EU," CERE Working Papers 2011:3, CERE - the Center for Environmental and Resource Economics.
    11. Zhou, P. & Ang, B.W., 2008. "Linear programming models for measuring economy-wide energy efficiency performance," Energy Policy, Elsevier, vol. 36(8), pages 2901-2906, August.
    12. Hampf, Benjamin & Krüger, Jens J., 2013. "Optimal directions for directional distance functions: An exploration of potential reductions of greenhouse gases," Darmstadt Discussion Papers in Economics 216, Darmstadt University of Technology, Department of Law and Economics.
    13. Zhou, Guanghui & Chung, William & Zhang, Xiliang, 2013. "A study of carbon dioxide emissions performance of China's transport sector," Energy, Elsevier, vol. 50(C), pages 302-314.
    14. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    15. Holden, R. & Xu, B. & Greening, P. & Piecyk, M. & Dadhich, P., 2016. "Towards a common measure of greenhouse gas related logistics activity using data envelopment analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 105-119.
    16. Vaninsky, Alexander, 2018. "Energy-environmental efficiency and optimal restructuring of the global economy," Energy, Elsevier, vol. 153(C), pages 338-348.
    17. Ouyang, Xiaoling & Sun, Chuanwang, 2015. "Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency," Energy Economics, Elsevier, vol. 48(C), pages 117-126.
    18. Hsiao-Yen Mao & Wen-Min Lu & Hsin-Yen Shieh, 2023. "Exploring the Influence of Environmental Investment on Multinational Enterprises’ Performance from the Sustainability and Marketability Efficiency Perspectives," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    19. Chen, Chien-Ming, 2013. "A critique of non-parametric efficiency analysis in energy economics studies," Energy Economics, Elsevier, vol. 38(C), pages 146-152.
    20. Na, Joon-Ho & Choi, A-Young & Ji, Jianhua & Zhang, Dali, 2017. "Environmental efficiency analysis of Chinese container ports with CO2 emissions: An inseparable input-output SBM model," Journal of Transport Geography, Elsevier, vol. 65(C), pages 13-24.
    21. Jin, Gang & Shen, Kunrong & Li, Jian, 2020. "Interjurisdiction political competition and green total factor productivity in China: An inverted-U relationship," China Economic Review, Elsevier, vol. 61(C).
    22. Liu, Xiao & Zhou, Dequn & Zhou, Peng & Wang, Qunwei, 2017. "What drives CO2 emissions from China’s civil aviation? An exploration using a new generalized PDA method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 30-45.
    23. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    24. Roberto Gómez-Calvet & David Conesa & Ana Rosa Gómez-Calvet & Emili Tortosa-Ausina, 2013. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Working Papers 2013/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    25. Ruan, Shuai & Wan, Guofeng & Le, Xilin & Zhang, Shanshan & Yu, Chao, 2023. "Combining the role of the banking sector and natural resource utilization on green economic development: Evidence from China," Resources Policy, Elsevier, vol. 83(C).
    26. Førsund, Finn R., 2008. "Good Modelling of Bad Outputs: Pollution and Multiple-Output Production," Memorandum 30/2008, Oslo University, Department of Economics.
    27. Rashidi, Kamran & Farzipoor Saen, Reza, 2015. "Measuring eco-efficiency based on green indicators and potentials in energy saving and undesirable output abatement," Energy Economics, Elsevier, vol. 50(C), pages 18-26.
    28. Dong, Kangyin & Hochman, Gal & Zhang, Yaqing & Sun, Renjin & Li, Hui & Liao, Hua, 2018. "CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions," Energy Economics, Elsevier, vol. 75(C), pages 180-192.
    29. Bian, Yiwen & Yang, Feng, 2010. "Resource and environment efficiency analysis of provinces in China: A DEA approach based on Shannon's entropy," Energy Policy, Elsevier, vol. 38(4), pages 1909-1917, April.
    30. Huang, Chin-wei & Chiu, Yung-ho & Fang, Wei-ta & Shen, Neng, 2014. "Assessing the performance of Taiwan’s environmental protection system with a non-radial network DEA approach," Energy Policy, Elsevier, vol. 74(C), pages 547-556.
    31. Roshdi, Israfil & Hasannasab, Maryam & Margaritis, Dimitris & Rouse, Paul, 2018. "Generalised weak disposability and efficiency measurement in environmental technologies," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1000-1012.
    32. Aleksandra Górecka & Joanna Baran & Helga Pavlic Skender & Mirjana Grcic Fabic, 2018. "Correlation Between Inland Transport Efficiency, Gdp And Environmental Aspects In Eu Countries," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 18, pages 453-470.
    33. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
    34. Halkos, George & Zisiadou, Argyro, 2016. "Environmental performance index and economic welfare," MPRA Paper 75561, University Library of Munich, Germany.
    35. Valadkhani, Abbas & Roshdi, Israfil & Smyth, Russell, 2016. "A multiplicative environmental DEA approach to measure efficiency changes in the world's major polluters," Energy Economics, Elsevier, vol. 54(C), pages 363-375.
    36. Borozan, Djula, 2018. "Technical and total factor energy efficiency of European regions: A two-stage approach," Energy, Elsevier, vol. 152(C), pages 521-532.
    37. Chang, Dong-Shang & Yang, Fu-Chiang, 2011. "Assessing the power generation, pollution control, and overall efficiencies of municipal solid waste incinerators in Taiwan," Energy Policy, Elsevier, vol. 39(2), pages 651-663, February.
    38. Li, Tianxiang & Baležentis, Tomas & Makutėnienė, Daiva & Streimikiene, Dalia & Kriščiukaitienė, Irena, 2016. "Energy-related CO2 emission in European Union agriculture: Driving forces and possibilities for reduction," Applied Energy, Elsevier, vol. 180(C), pages 682-694.
    39. Azadeh, A. & Amalnick, M.S. & Ghaderi, S.F. & Asadzadeh, S.M., 2007. "An integrated DEA PCA numerical taxonomy approach for energy efficiency assessment and consumption optimization in energy intensive manufacturing sectors," Energy Policy, Elsevier, vol. 35(7), pages 3792-3806, July.
    40. Pombo, Carlos & Taborda, Rodrigo, 2006. "Performance and efficiency in Colombia's power distribution system: Effects of the 1994 reform," Energy Economics, Elsevier, vol. 28(3), pages 339-369, May.
    41. Li, Ke & Lin, Boqiang, 2015. "The efficiency improvement potential for coal, oil and electricity in China's manufacturing sectors," Energy, Elsevier, vol. 86(C), pages 403-413.
    42. Pedro Herrera & Oscar Millones, 2011. "¿Cuál Es El Costo De La Contaminación Ambiental Minera Sobre Los Recursos Hídricos En El Perú?," Documentos de Trabajo / Working Papers 2011-321, Departamento de Economía - Pontificia Universidad Católica del Perú.
    43. Jens Kjærsgaard & Niels Vestergaard & Kristiaan Kerstens, 2009. "Ecological Benchmarking to Explore Alternative Fishing Schemes to Protect Endangered Species by Substitution: The Danish Demersal Fishery in the North Sea," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(4), pages 573-590, August.
    44. Vaninsky, Alexander, 2010. "Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment – stochastic frontier analysis approach," Energy, Elsevier, vol. 35(9), pages 3657-3665.
    45. Wang, Qunwei & Zhou, Peng & Zhou, Dequn, 2012. "Efficiency measurement with carbon dioxide emissions: The case of China," Applied Energy, Elsevier, vol. 90(1), pages 161-166.
    46. Feng, Chenpeng & Chu, Feng & Ding, Jingjing & Bi, Gongbing & Liang, Liang, 2015. "Carbon Emissions Abatement (CEA) allocation and compensation schemes based on DEA," Omega, Elsevier, vol. 53(C), pages 78-89.
    47. Hervé Leleu, 2013. "Duality of Shephard’s weakly disposable technology under a directional output distance function," Working Papers 2013-ECO-03, IESEG School of Management.
    48. Manh D. Pham & Valentin Zelenyuk, 2017. "Convexity, Disposability and Returns to Scale in Production Analysis," CEPA Working Papers Series WP042017, School of Economics, University of Queensland, Australia.
    49. Pyoungsoo Lee & You-Jin Park, 2017. "Eco-Efficiency Evaluation Considering Environmental Stringency," Sustainability, MDPI, vol. 9(4), pages 1-18, April.
    50. Wang, Qiang & Jiang, Feng & Li, Rongrong, 2022. "Assessing supply chain greenness from the perspective of embodied renewable energy – A data envelopment analysis using multi-regional input-output analysis," Renewable Energy, Elsevier, vol. 189(C), pages 1292-1305.
    51. H. Leleu, 2013. "Shadow pricing of undesirable outputs in nonparametric analysis," Post-Print hal-00848044, HAL.
    52. Jie Wu & Panpan Xia & Qingyuan Zhu & Junfei Chu, 2019. "Measuring environmental efficiency of thermoelectric power plants: a common equilibrium efficient frontier DEA approach with fixed-sum undesirable output," Annals of Operations Research, Springer, vol. 275(2), pages 731-749, April.
    53. Bian, Yiwen & Yan, Shuai & Xu, Hao, 2014. "Efficiency evaluation for regional urban water use and wastewater decontamination systems in China: A DEA approach," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 15-23.
    54. Shen, Zhiyang & Wu, Haitao & Bai, Kaixuan & Hao, Yu, 2022. "Integrating economic, environmental and societal performance within the productivity measurement," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    55. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    56. Tao Ding & Zhixiang Zhou & Qianzhi Dai & Liang Liang, 2020. "Analysis of China’s Regional Economic Environmental Performance: A Non-radial Multi-objective DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1209-1231, April.
    57. Halkos, George & Petrou, Kleoniki Natalia, 2017. "Regional environmental efficiency in waste generation," MPRA Paper 81237, University Library of Munich, Germany.
    58. Yiming Zhuang & Meltem Denizel & Frank Montabon, 2023. "Examining Firms’ Sustainability Frontier: Efficiency in Reaching the Triple Bottom Line," Sustainability, MDPI, vol. 15(11), pages 1-22, May.
    59. S You & H Yan, 2011. "A new approach in modelling undesirable output in DEA model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2146-2156, December.
    60. Barros, Carlos Pestana & Managi, Shunsuke, 2009. "Productivity assessment of Angola's oil blocks," Energy, Elsevier, vol. 34(11), pages 2009-2015.
    61. Xiao Gong & Jianing Mi & Chunyan Wei & Ruitao Yang, 2019. "Measuring Environmental and Economic Performance of Air Pollution Control for Province-Level Areas in China," IJERPH, MDPI, vol. 16(8), pages 1-19, April.
    62. Yu, Anyu & You, Jianxin & Rudkin, Simon & Zhang, Hao, 2019. "Industrial carbon abatement allocations and regional collaboration: Re-evaluating China through a modified data envelopment analysis," Applied Energy, Elsevier, vol. 233, pages 232-243.
    63. Wentao Lu & Guixiang Zhang, 2023. "Green development efficiency of urban agglomerations in a developing country: evidence from Beijing-Tianjin-Hebei in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6939-6962, July.
    64. Wu, F. & Zhou, P. & Zhou, D.Q., 2020. "Modeling carbon emission performance under a new joint production technology with energy input," Energy Economics, Elsevier, vol. 92(C).
    65. Zuoren Sun & Rundong Luo & Dequn Zhou, 2015. "Optimal Path for Controlling Sectoral CO 2 Emissions Among China’s Regions: A Centralized DEA Approach," Sustainability, MDPI, vol. 8(1), pages 1-20, December.
    66. Zhang, Ning & Choi, Yongrok, 2013. "A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and Korea," Energy Policy, Elsevier, vol. 62(C), pages 324-332.
    67. Małgorzata Janicka & Artur Sajnóg, 2023. "Do environmental and economic performance go hand in hand? An industrial analysis of European Union companies with the non‐parametric data envelopment analysis method," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(5), pages 2590-2605, September.
    68. Ioannis E. Tsolas, 2023. "Efficiency Measurement of Lignite-Fired Power Plants in Greece Using a DEA-Bootstrap Approach," Sustainability, MDPI, vol. 15(4), pages 1-10, February.
    69. Falavigna, G. & Ippoliti, R., 2020. "The socio-economic planning of a community nurses programme in mountain areas: A Directional Distance Function approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    70. Zhou, P. & Ang, B.W., 2008. "Decomposition of aggregate CO2 emissions: A production-theoretical approach," Energy Economics, Elsevier, vol. 30(3), pages 1054-1067, May.
    71. Jiekun Song & Rui Chen & Xiaoping Ma, 2022. "Provincial Allocation of Energy Consumption, Air Pollutant and CO 2 Emission Quotas in China: Based on a Weighted Environment ZSG-DEA Model," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    72. Bai-Chen, Xie & Ying, Fan & Qian-Qian, Qu, 2012. "Does generation form influence environmental efficiency performance? An analysis of China’s power system," Applied Energy, Elsevier, vol. 96(C), pages 261-271.
    73. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    74. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2016. "Environmental investment and firm performance: A network approach," Energy Economics, Elsevier, vol. 57(C), pages 243-255.
    75. Lee, Myunghun & Zhang, Ning, 2012. "Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries," Energy Economics, Elsevier, vol. 34(5), pages 1492-1497.
    76. Stergiou, Eirini, 2022. "Environmental Efficiency of European Industries across Sectors and Countries," MPRA Paper 114635, University Library of Munich, Germany.
    77. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.
    78. Zhao, Jin & Patwary, Ataul Karim & Qayyum, Abdul & Alharthi, Majed & Bashir, Furrukh & Mohsin, Muhammad & Hanif, Imran & Abbas, Qaiser, 2022. "The determinants of renewable energy sources for the fueling of green and sustainable economy," Energy, Elsevier, vol. 238(PC).
    79. Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).
    80. Feng Li & Qingyuan Zhu & Jun Zhuang, 2018. "Analysis of fire protection efficiency in the United States: a two-stage DEA-based approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 23-68, January.
    81. Wang, Yizhong & Hang, Ye & Wang, Qunwei, 2022. "Joint or separate? An economic-environmental comparison of energy-consuming and carbon emissions permits trading in China," Energy Economics, Elsevier, vol. 109(C).
    82. Yang, Jun & Cheng, Jixin & Zou, Ran & Geng, Zhifei, 2021. "Industrial SO2 technical efficiency, reduction potential and technology heterogeneities of China's prefecture-level cities: A multi-hierarchy meta-frontier parametric approach," Energy Economics, Elsevier, vol. 104(C).
    83. Sueyoshi, Toshiyuki & Yuan, Yan, 2015. "China's regional sustainability and diversified resource allocation: DEA environmental assessment on economic development and air pollution," Energy Economics, Elsevier, vol. 49(C), pages 239-256.
    84. Zhuang Miao & Tomas Baležentis & Zhihua Tian & Shuai Shao & Yong Geng & Rui Wu, 2019. "Environmental Performance and Regulation Effect of China’s Atmospheric Pollutant Emissions: Evidence from “Three Regions and Ten Urban Agglomerations”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 211-242, September.
    85. Fernández González, P. & Presno, M.J. & Landajo, M., 2015. "Regional and sectoral attribution to percentage changes in the European Divisia carbonization index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1437-1452.
    86. Zhang, Chunhong & Liu, Haiying & Bressers, Hans Th.A. & Buchanan, Karen S., 2011. "Productivity growth and environmental regulations - accounting for undesirable outputs: Analysis of China's thirty provincial regions using the Malmquist–Luenberger index," Ecological Economics, Elsevier, vol. 70(12), pages 2369-2379.
    87. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    88. Shen, Zhiyang & Bai, Kaixuan & Hong, Tianyang & Balezentis, Tomas, 2021. "Evaluation of carbon shadow price within a non-parametric meta-frontier framework: The case of OECD, ASEAN and BRICS," Applied Energy, Elsevier, vol. 299(C).
    89. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    90. Halkos, George & Tzeremes, Nickolaos, 2013. "An additive two-stage DEA approach creating sustainability efficiency indexes," MPRA Paper 44231, University Library of Munich, Germany.
    91. Jia-Yin Yin & Yun-Fei Cao & Bao-Jun Tang, 2019. "Fairness of China’s provincial energy environment efficiency evaluation: empirical analysis using a three-stage data envelopment analysis model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 343-362, January.
    92. Heesche, Emil & Asmild, Mette, 2022. "Incorporating quality in economic regulatory benchmarking," Omega, Elsevier, vol. 110(C).
    93. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2012. "A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs?," Energy Policy, Elsevier, vol. 46(C), pages 574-584.
    94. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).
    95. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    96. Chenpeng Feng & Rong Zhou & Jingjing Ding & Xiangze Xiao & Mingyue Pu, 2023. "A Method for Allocation of Carbon Emission Quotas to Provincial-Level Industries in China Based on DEA," Sustainability, MDPI, vol. 15(3), pages 1-21, February.
    97. Jie Wu & Beibei Xiong & Qingxian An & Jiasen Sun & Huaqing Wu, 2017. "Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs," Annals of Operations Research, Springer, vol. 255(1), pages 257-276, August.
    98. Huaping Sun & Lingxiang Hu & Yong Geng & Guangchuan Yang, 2020. "Uncovering impact factors of carbon emissions from transportation sector: evidence from China’s Yangtze River Delta Area," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1423-1437, October.
    99. Pham, Manh D. & Zelenyuk, Valentin, 2019. "Weak disposability in nonparametric production analysis: A new taxonomy of reference technology sets," European Journal of Operational Research, Elsevier, vol. 274(1), pages 186-198.
    100. Cao, Feifei, 2023. "Digital financial innovation and renewable electrification: A step toward zero carbon nexus," Renewable Energy, Elsevier, vol. 215(C).
    101. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    102. Herrala, Risto & Goel, Rajeev K., 2016. "Sharing the emission reduction burden in an uneven world," Energy Policy, Elsevier, vol. 94(C), pages 29-39.
    103. Harald Dyckhoff & Rainer Souren, 2023. "Are important phenomena of joint production still being neglected by economic theory? A review of recent literature," Journal of Business Economics, Springer, vol. 93(6), pages 1015-1053, August.
    104. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Returns to damage under undesirable congestion and damages to return under desirable congestion measured by DEA environmental assessment with multiplier restriction: Economic and energy planning for s," Energy Economics, Elsevier, vol. 56(C), pages 288-309.
    105. Wu, Jie & An, Qingxian & Xiong, Beibei & Chen, Ya, 2013. "Congestion measurement for regional industries in China: A data envelopment analysis approach with undesirable outputs," Energy Policy, Elsevier, vol. 57(C), pages 7-13.
    106. Qingyou Yan & Xu Wang & Tomas Baležentis & Dalia Streimikiene, 2018. "Energy–economy–environmental (3E) performance of Chinese regions based on the data envelopment analysis model with mixed assumptions on disposability," Energy & Environment, , vol. 29(5), pages 664-684, August.
    107. Zhang, Shanshan & Lundgren, Tommy & Zhou, Wenchao, 2016. "Energy efficiency in Swedish industry," Energy Economics, Elsevier, vol. 55(C), pages 42-51.
    108. Song, Lianlian & Fu, Yelin & Zhou, Peng & Lai, Kin Keung, 2017. "Measuring national energy performance via Energy Trilemma Index: A Stochastic Multicriteria Acceptability Analysis," Energy Economics, Elsevier, vol. 66(C), pages 313-319.
    109. Hailiang Ma & Chenling Shi & Nan-Ting Chou, 2016. "China’s Water Utilization Efficiency: An Analysis with Environmental Considerations," Sustainability, MDPI, vol. 8(6), pages 1-15, May.
    110. Hassan, Taimoor & Song, Huaming & Khan, Yasir & Kirikkaleli, Dervis, 2022. "Energy efficiency a source of low carbon energy sources? Evidence from 16 high-income OECD economies," Energy, Elsevier, vol. 243(C).
    111. Hanhua Shao & Jixin Cheng & Yuansheng Wang & Xiaoming Li, 2022. "Can Digital Finance Promote Comprehensive Carbon Emission Performance? Evidence from Chinese Cities," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    112. Truc Linh Le & Pai-Po Lee & Ke Chung Peng & Rebecca H. Chung, 2019. "Evaluation of total factor productivity and environmental efficiency of agriculture in nine East Asian countries," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(6), pages 249-258.
    113. Xiaohong Liu & Qingyuan Zhu & Junfei Chu & Xiang Ji & Xingchen Li, 2019. "Environmental Performance and Benchmarking Information for Coal-Fired Power Plants in China: A DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1287-1302, December.
    114. Hampf, Benjamin & Krüger, Jens, 2013. "Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 60952, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    115. George Halkos & Nickolaos Tzeremes, 2013. "National culture and eco-efficiency: an application of conditional partial nonparametric frontiers," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(4), pages 423-441, October.
    116. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    117. Ma, Ding & Fei, Rilong & Yu, Yongsheng, 2019. "How government regulation impacts on energy and CO2 emissions performance in China's mining industry," Resources Policy, Elsevier, vol. 62(C), pages 651-663.
    118. Xiaoling Wang & Manyin Zhang & Jatin Nathwani & Fangming Yang, 2019. "Measuring Environmental Efficiency through the Lens of Technology Heterogeneity: A Comparative Study between China and the G20," Sustainability, MDPI, vol. 11(2), pages 1-12, January.
    119. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    120. Corrado Lo Storto, 2016. "Ecological Efficiency Based Ranking of Cities: A Combined DEA Cross-Efficiency and Shannon’s Entropy Method," Sustainability, MDPI, vol. 8(2), pages 1-29, January.
    121. Chiu, Ching-Ren & Liou, Je-Liang & Wu, Pei-Ing & Fang, Chen-Ling, 2012. "Decomposition of the environmental inefficiency of the meta-frontier with undesirable output," Energy Economics, Elsevier, vol. 34(5), pages 1392-1399.
    122. Mohsin, Muhammad & Hanif, Imran & Taghizadeh-Hesary, Farhad & Abbas, Qaiser & Iqbal, Wasim, 2021. "Nexus between energy efficiency and electricity reforms: A DEA-Based way forward for clean power development," Energy Policy, Elsevier, vol. 149(C).
    123. Zheng, Saina & Lam, Chor-Man & Hsu, Shu-Chien & Ren, Jingzheng, 2018. "Evaluating efficiency of energy conservation measures in energy service companies in China," Energy Policy, Elsevier, vol. 122(C), pages 580-591.
    124. Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
    125. George Halkos & Argyro Zisiadou, 2018. "Relating environmental performance with socioeconomic and cultural factors," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 69-88, January.
    126. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2015. "Carbon dioxide emission standards for U.S. power plants: An efficiency analysis perspective," Energy Economics, Elsevier, vol. 50(C), pages 140-153.
    127. Haifeng Huang & Tao Wang, 2017. "The Total-Factor Energy Efficiency of Regions in China: Based on Three-Stage SBM Model," Sustainability, MDPI, vol. 9(9), pages 1-20, September.
    128. Mattia Ubaldo & Steven McGuire & Vikrant Shirodkar, 2022. "Voluntary programs and emissions revisited: What is the effect of EU trade agreements with environmental provisions?," Journal of International Business Policy, Palgrave Macmillan, vol. 5(4), pages 467-489, December.
    129. Zhu, Ning & Streimikis, Justas & Yu, Zhiqian & Balezentis, Tomas, 2023. "Energy-sustainable agriculture in the European Union member states: Overall productivity growth and structural efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    130. Qiong Xia & Min Li & Huaqing Wu & Zhenggang Lu, 2016. "Does the Central Government’s Environmental Policy Work? Evidence from the Provincial-Level Environment Efficiency in China," Sustainability, MDPI, vol. 8(12), pages 1-17, December.
    131. Jun-Der Leu & Wen-Hsien Tsai & Mei-Niang Fan & Sophia Chuang, 2020. "Benchmarking Sustainable Manufacturing: A DEA-Based Method and Application," Energies, MDPI, vol. 13(22), pages 1-21, November.
    132. Wu, Yinyin & Yu, Jie & Song, Malin & Chen, Jiandong & Hou, Wenxuan, 2021. "Shadow prices of industrial air pollutant emissions in China," Economic Modelling, Elsevier, vol. 94(C), pages 726-736.
    133. Junfei Chu & Jie Wu & Qingyuan Zhu & Qingxian An & Beibei Xiong, 2019. "Analysis of China’s Regional Eco-efficiency: A DEA Two-stage Network Approach with Equitable Efficiency Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1263-1285, December.
    134. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas & Sun, Chuanwang, 2019. "Atmospheric environmental productivity across the provinces of China: Joint decomposition of range adjusted measure and Luenberger productivity indicator," Energy Policy, Elsevier, vol. 132(C), pages 665-677.
    135. Qingyou Yan & Yaxian Wang & Tomas Baležentis & Yikai Sun & Dalia Streimikiene, 2018. "Energy-Related CO 2 Emission in China’s Provincial Thermal Electricity Generation: Driving Factors and Possibilities for Abatement," Energies, MDPI, vol. 11(5), pages 1-25, April.
    136. Junfei Chen & Tonghui Ding & Huimin Wang & Xiaoya Yu, 2019. "Research on Total Factor Productivity and Influential Factors of the Regional Water–Energy–Food Nexus: A Case Study on Inner Mongolia, China," IJERPH, MDPI, vol. 16(17), pages 1-21, August.
    137. Fang, Hong & Wu, Junjie & Zeng, Catherine, 2009. "Comparative study on efficiency performance of listed coal mining companies in China and the US," Energy Policy, Elsevier, vol. 37(12), pages 5140-5148, December.
    138. Ma-Lin Song & Ron Fisher & Jian-Lin Wang & Lian-Biao Cui, 2018. "Environmental performance evaluation with big data: theories and methods," Annals of Operations Research, Springer, vol. 270(1), pages 459-472, November.
    139. Ching-Ren Chiu & Ming-Chung Chang & Jin-Li Hu, 2022. "Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries," Journal of Productivity Analysis, Springer, vol. 57(3), pages 297-311, June.
    140. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    141. Tianbo Tang & Jianxin You & Hui Sun & Hao Zhang, 2019. "Transportation Efficiency Evaluation Considering the Environmental Impact for China’s Freight Sector: A Parallel Data Envelopment Analysis," Sustainability, MDPI, vol. 11(18), pages 1-24, September.
    142. Wang, H. & Pan, Chen & Wang, Qunwei & Zhou, P., 2020. "Assessing sustainability performance of global supply chains: An input-output modeling approach," European Journal of Operational Research, Elsevier, vol. 285(1), pages 393-404.
    143. Yinqiao Li, 2023. "Role of banking sector in green economic growth: empirical evidence from South Asian economies," Economic Change and Restructuring, Springer, vol. 56(4), pages 2437-2454, August.
    144. Zuoren Sun & Chao An & Huachen Sun, 2018. "Regional Differences in Energy and Environmental Performance: An Empirical Study of 283 Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-28, July.
    145. Liu, Guangtian & Wang, Bing & Zhang, Ning, 2016. "A coin has two sides: Which one is driving China’s green TFP growth?," Economic Systems, Elsevier, vol. 40(3), pages 481-498.
    146. Damián Fernández-Cerero & Alejandro Fernández-Montes & Francisco Velasco, 2018. "Productive Efficiency of Energy-Aware Data Centers," Energies, MDPI, vol. 11(8), pages 1-17, August.
    147. Halkos, George & Tzeremes, Nickolaos, 2011. "Does the Kyoto Protocol Agreement matters? An environmental efficiency analysis," MPRA Paper 30652, University Library of Munich, Germany.
    148. Song, Malin & An, Qingxian & Zhang, Wei & Wang, Zeya & Wu, Jie, 2012. "Environmental efficiency evaluation based on data envelopment analysis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4465-4469.
    149. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    150. Qingxian An & Haoxun Chen & Jie Wu & Liang Liang, 2015. "Measuring slacks-based efficiency for commercial banks in China by using a two-stage DEA model with undesirable output," Annals of Operations Research, Springer, vol. 235(1), pages 13-35, December.
    151. Grebel, Thomas & Stützer, Michael, 2014. "Assessment of the environmental performance of European countries over time: Addressing the role of carbon leakage and nuclear waste," Ilmenau Economics Discussion Papers 90, Ilmenau University of Technology, Institute of Economics.
    152. Dubrocard, Anne & Prombo, Michel, 2012. "Performance environnementale et mesure de la productivité," MPRA Paper 41456, University Library of Munich, Germany.
    153. Riccardi, R. & Oggioni, G. & Toninelli, R., 2012. "Efficiency analysis of world cement industry in presence of undesirable output: Application of data envelopment analysis and directional distance function," Energy Policy, Elsevier, vol. 44(C), pages 140-152.
    154. George Halkos & Nickolaos Tzeremes, 2014. "Measuring the effect of Kyoto protocol agreement on countries’ environmental efficiency in CO 2 emissions: an application of conditional full frontiers," Journal of Productivity Analysis, Springer, vol. 41(3), pages 367-382, June.
    155. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
    156. Dubrocard, Anne & Prombo, Michel, 2012. "International comparison of Environmental performance," MPRA Paper 48072, University Library of Munich, Germany, revised 05 Jul 2013.
    157. Farzad Zaare Tajabadi & Sahand Daneshvar, 2023. "Benchmark Approach for Efficiency Improvement in Green Supply Chain Management with DEA Models," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    158. Zhang, Xing-Ping & Tan, Ya-Kun & Tan, Qin-Liang & Yuan, Jia-Hai, 2012. "Decomposition of aggregate CO2 emissions within a joint production framework," Energy Economics, Elsevier, vol. 34(4), pages 1088-1097.
    159. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    160. Tsolas, Ioannis E., 2011. "Performance assessment of mining operations using nonparametric production analysis: A bootstrapping approach in DEA," Resources Policy, Elsevier, vol. 36(2), pages 159-167, June.
    161. Wu, Jie & Zhu, Qingyuan & Liang, Liang, 2016. "CO2 emissions and energy intensity reduction allocation over provincial industrial sectors in China," Applied Energy, Elsevier, vol. 166(C), pages 282-291.
    162. Alfredo Dammert & Arturo Vásquez & Raúl García & Victor Zurita & Humberto Ortiz & Erix Ruiz, 2011. "¿Cuál Es El Costo De La Contaminación Ambiental Minerasobre Los Recursos Hídricos En El Perú?: Comentarios," Documentos de Trabajo / Working Papers 2011-326, Departamento de Economía - Pontificia Universidad Católica del Perú.
    163. Jie Wu & Xiang Lu & Dong Guo & Liang Liang, 2017. "Slacks-Based Efficiency Measurements with Undesirable Outputs in Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1005-1021, July.
    164. Kim, Kyunam & Kim, Yeonbae, 2012. "International comparison of industrial CO2 emission trends and the energy efficiency paradox utilizing production-based decomposition," Energy Economics, Elsevier, vol. 34(5), pages 1724-1741.
    165. Huayong Niu & Zhishuo Zhang & Yao Xiao & Manting Luo & Yumeng Chen, 2022. "A Study of Carbon Emission Efficiency in Chinese Provinces Based on a Three-Stage SBM-Undesirable Model and an LSTM Model," IJERPH, MDPI, vol. 19(9), pages 1-19, April.
    166. Zurano-Cervelló, Patricia & Pozo, Carlos & Mateo-Sanz, Josep María & Jiménez, Laureano & Guillén-Gosálbez, Gonzalo, 2019. "Sustainability efficiency assessment of the electricity mix of the 28 EU member countries combining data envelopment analysis and optimized projections," Energy Policy, Elsevier, vol. 134(C).
    167. Molinos-Senante, María & Hernández-Sancho, Francesc & Mocholí-Arce, Manuel & Sala-Garrido, Ramón, 2014. "Economic and environmental performance of wastewater treatment plants: Potential reductions in greenhouse gases emissions," Resource and Energy Economics, Elsevier, vol. 38(C), pages 125-140.
    168. Huiming Xie & Xiaopeng Wang & Manhong Shen & Chu Wei, 2022. "Abatement costs of combatting industrial water pollution: convergence across Chinese provinces," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 10752-10767, September.
    169. Bin Lu & Ke Wang & Zhiqiang Xu, 2016. "China's regional energy efficiency: Results based on three-stage DEA model," CEEP-BIT Working Papers 89, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    170. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2014. "Carbon dioxide emission standards for US power plants: An efficiency analysis perspective," Darmstadt Discussion Papers in Economics 219, Darmstadt University of Technology, Department of Law and Economics.
    171. Wenjie Zou & Liqin Zhang & Jieying Xu & Yufeng Xie & Huangxin Chen, 2022. "Spatial–Temporal Evolution Characteristics and Influencing Factors of Industrial Pollution Control Efficiency in China," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    172. Pyoungsoo Lee, 2022. "Ranking Decision Making for Eco-Efficiency Using Operational, Energy, and Environmental Efficiency," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    173. Sun, Huaping & Kporsu, Anthony Kwaku & Taghizadeh-Hesary, Farhad & Edziah, Bless Kofi, 2020. "Estimating environmental efficiency and convergence: 1980 to 2016," Energy, Elsevier, vol. 208(C).
    174. Bellenger, Moriah J. & Herlihy, Alan T., 2010. "Performance-based environmental index weights: Are all metrics created equal?," Ecological Economics, Elsevier, vol. 69(5), pages 1043-1050, March.
    175. Halkos, George & Tzeremes, Nickolaos, 2011. "Towards a culture of environmental efficiency: An application of conditional partial nonparametric frontiers," MPRA Paper 28690, University Library of Munich, Germany.
    176. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    177. Lozano, Sebastián & Gutiérrez, Ester, 2008. "Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions," Ecological Economics, Elsevier, vol. 66(4), pages 687-699, July.
    178. Hervé Leleu & Albane Tarnaud, 2016. "The duality of Shephard’s weakly disposable technology," Working Papers 2016-EQM-06, IESEG School of Management.
    179. Xie, Peijun & Jamaani, Fouad, 2022. "Does green innovation, energy productivity and environmental taxes limit carbon emissions in developed economies: Implications for sustainable development," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 66-78.
    180. Peroni, Chiara, 2012. "Environmental efficiency indices: towards a new approach to green-growth accounting," MPRA Paper 38671, University Library of Munich, Germany, revised 27 Apr 2012.
    181. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    182. Song, Malin & Song, Yaqing & An, Qingxian & Yu, Huayin, 2013. "Review of environmental efficiency and its influencing factors in China: 1998–2009," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 8-14.
    183. Fang Zhang & Hong Fang & Junjie Wu & Damian Ward, 2016. "Environmental Efficiency Analysis of Listed Cement Enterprises in China," Sustainability, MDPI, vol. 8(5), pages 1-19, May.
    184. Miao, Zhuang & Baležentis, Tomas & Shao, Shuai & Chang, Dongfeng, 2019. "Energy use, industrial soot and vehicle exhaust pollution—China's regional air pollution recognition, performance decomposition and governance," Energy Economics, Elsevier, vol. 83(C), pages 501-514.
    185. Guo, Xiao-Dan & Zhu, Lei & Fan, Ying & Xie, Bai-Chen, 2011. "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, Elsevier, vol. 39(5), pages 2352-2360, May.
    186. Linlin Zhao & Yong Zha & Kangning Wei & Liang Liang, 2017. "A target-based method for energy saving and carbon emissions reduction in China based on environmental data envelopment analysis," Annals of Operations Research, Springer, vol. 255(1), pages 277-300, August.
    187. Qingxian An & Xiangyang Tao & Bo Dai & Jinlin Li, 2020. "Modified Distance Friction Minimization Model with Undesirable Output: An Application to the Environmental Efficiency of China’s Regional Industry," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1047-1071, April.

  127. Zhou, P. & Ang, B.W., 2008. "Linear programming models for measuring economy-wide energy efficiency performance," Energy Policy, Elsevier, vol. 36(8), pages 2901-2906, August.

    Cited by:

    1. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas, 2021. "Improving energy use and mitigating pollutant emissions across “Three Regions and Ten Urban Agglomerations”: A city-level productivity growth decomposition," Applied Energy, Elsevier, vol. 283(C).
    2. Wu, Jie & Lv, Lin & Sun, Jiasen & Ji, Xiang, 2015. "A comprehensive analysis of China's regional energy saving and emission reduction efficiency: From production and treatment perspectives," Energy Policy, Elsevier, vol. 84(C), pages 166-176.
    3. Ke Wang & Bin Lu & Yi-Ming Wei, 2014. "China's regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," CEEP-BIT Working Papers 61, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
    5. Jens J. Krüger & Moritz Tarach, 2022. "Greenhouse Gas Emission Reduction Potentials in Europe by Sector: A Bootstrap-Based Nonparametric Efficiency Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(4), pages 867-898, April.
    6. Zhang, Guanglu & Lin, Boqiang, 2018. "Impact of structure on unified efficiency for Chinese service sector—A two-stage analysis," Applied Energy, Elsevier, vol. 231(C), pages 876-886.
    7. Lin, Boqiang & Wu, Ya & Zhang, Li, 2011. "Estimates of the potential for energy conservation in the Chinese steel industry," Energy Policy, Elsevier, vol. 39(6), pages 3680-3689, June.
    8. Bhat, Javed Ahmad & Haider, Salman & Kamaiah, Bandi, 2018. "Interstate energy efficiency of Indian paper industry: A slack-based non-parametric approach," Energy, Elsevier, vol. 161(C), pages 284-298.
    9. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    10. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
    11. Jiang, Lei & Zhou, Haifeng & He, Shixiong, 2021. "Does energy efficiency increase at the expense of output performance: Evidence from manufacturing firms in Jiangsu province, China," Energy, Elsevier, vol. 220(C).
    12. Massimo Filippini & Lester C. Hunt, 2013. "'Underlying Energy Efficiency' in the US," CER-ETH Economics working paper series 13/181, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    13. Qunwei Wang & Peng Zhou & Zengyao Zhao & Neng Shen, 2014. "Energy Efficiency and Energy Saving Potential in China: A Directional Meta-Frontier DEA Approach," Sustainability, MDPI, vol. 6(8), pages 1-17, August.
    14. Khalid Mehmood & Yaser Iftikhar & Shouming Chen & Shaheera Amin & Alia Manzoor & Jinlong Pan, 2020. "Analysis of Inter-Temporal Change in the Energy and CO 2 Emissions Efficiency of Economies: A Two Divisional Network DEA Approach," Energies, MDPI, vol. 13(13), pages 1-17, June.
    15. Massimo Filippini & Lester Hunt, 2009. "Energy demand and energy efficiency in the OECD countries: a stochastic demand frontier approach," CEPE Working paper series 09-68, CEPE Center for Energy Policy and Economics, ETH Zurich.
    16. Jaraite, Jurate & Di Maria, Corrado, 2011. "Efficiency, Productivity and Environmental Policy: A Case Study of Power Generation in the EU," CERE Working Papers 2011:3, CERE - the Center for Environmental and Resource Economics.
    17. Magdalena Ziolo & Sandra Jednak & Gordana Savić & Dragana Kragulj, 2020. "Link between Energy Efficiency and Sustainable Economic and Financial Development in OECD Countries," Energies, MDPI, vol. 13(22), pages 1-28, November.
    18. Huang, Beijia & Zhang, Long & Ma, Linmao & Bai, Wuliyasu & Ren, Jingzheng, 2021. "Multi-criteria decision analysis of China’s energy security from 2008 to 2017 based on Fuzzy BWM-DEA-AR model and Malmquist Productivity Index," Energy, Elsevier, vol. 228(C).
    19. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    20. Chang, Young-Tae & Zhang, Ning & Danao, Denise & Zhang, Nan, 2013. "Environmental efficiency analysis of transportation system in China: A non-radial DEA approach," Energy Policy, Elsevier, vol. 58(C), pages 277-283.
    21. Ouyang, Xiaoling & Sun, Chuanwang, 2015. "Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency," Energy Economics, Elsevier, vol. 48(C), pages 117-126.
    22. Bi, Gong-Bing & Song, Wen & Zhou, P. & Liang, Liang, 2014. "Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model," Energy Policy, Elsevier, vol. 66(C), pages 537-546.
    23. Chen, Chien-Ming, 2013. "A critique of non-parametric efficiency analysis in energy economics studies," Energy Economics, Elsevier, vol. 38(C), pages 146-152.
    24. Jiang, Lei & Folmer, Henk & Ji, Minhe & Zhou, P., 2018. "Revisiting cross-province energy intensity convergence in China: A spatial panel analysis," Energy Policy, Elsevier, vol. 121(C), pages 252-263.
    25. Wang, Jian & Lv, Kangjuan & Bian, Yiwen & Cheng, Yu, 2017. "Energy efficiency and marginal carbon dioxide emission abatement cost in urban China," Energy Policy, Elsevier, vol. 105(C), pages 246-255.
    26. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    27. Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
    28. Mohamed Ghali & Laure Latruffe & Karine Daniel, 2016. "Efficient Use of Energy Resources on French Farms: An Analysis through Technical Efficiency," Energies, MDPI, vol. 9(8), pages 1-15, July.
    29. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "DEA approach for unified efficiency measurement: Assessment of Japanese fossil fuel power generation," Energy Economics, Elsevier, vol. 33(2), pages 292-303, March.
    30. Rashidi, Kamran & Farzipoor Saen, Reza, 2015. "Measuring eco-efficiency based on green indicators and potentials in energy saving and undesirable output abatement," Energy Economics, Elsevier, vol. 50(C), pages 18-26.
    31. Zaim, Osman & Uygurtürk Gazel, Tuğçe & Akkemik, K. Ali, 2017. "Measuring energy intensity in Japan: A new method," European Journal of Operational Research, Elsevier, vol. 258(2), pages 778-789.
    32. Rocco, Matteo V. & Forcada Ferrer, Rafael J. & Colombo, Emanuela, 2018. "Understanding the energy metabolism of World economies through the joint use of Production- and Consumption-based energy accountings," Applied Energy, Elsevier, vol. 211(C), pages 590-603.
    33. Miura, Taiki & Tamaki, Tetsuya & Kii, Masanobu & Kajitani, Yoshio, 2021. "Efficiency by sectors in areas considering CO2 emissions: The case of Japan," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 514-528.
    34. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "Methodological comparison between two unified (operational and environmental) efficiency measurements for environmental assessment," European Journal of Operational Research, Elsevier, vol. 210(3), pages 684-693, May.
    35. Chia-Jung Tu & Ming-Chung Chang & Chiang-Ping Chen, 2016. "Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS," Sustainability, MDPI, vol. 8(9), pages 1-17, September.
    36. Bian, Yiwen & Yang, Feng, 2010. "Resource and environment efficiency analysis of provinces in China: A DEA approach based on Shannon's entropy," Energy Policy, Elsevier, vol. 38(4), pages 1909-1917, April.
    37. Shuangjie Li & Li Li & Liming Wang, 2020. "2030 Target for Energy Efficiency and Emission Reduction in the EU Paper Industry," Energies, MDPI, vol. 14(1), pages 1-17, December.
    38. Chang-Tai Lee & Jin-Li Hu & Ming-Hsin Kung, 2022. "Economic Resilience in the Early Stage of the COVID-19 Pandemic: An Across-Economy Comparison," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
    39. Blomberg, Jerry & Henriksson, Eva & Lundmark, Robert, 2012. "Energy efficiency and policy in Swedish pulp and paper mills: A data envelopment analysis approach," Energy Policy, Elsevier, vol. 42(C), pages 569-579.
    40. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    41. Chang, Dong-Shang & Yang, Fu-Chiang, 2011. "Assessing the power generation, pollution control, and overall efficiencies of municipal solid waste incinerators in Taiwan," Energy Policy, Elsevier, vol. 39(2), pages 651-663, February.
    42. Cui, Qiang & Li, Ye, 2015. "An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries," Applied Energy, Elsevier, vol. 141(C), pages 209-217.
    43. Bian, Yiwen & Hu, Miao & Wang, Yousen & Xu, Hao, 2016. "Energy efficiency analysis of the economic system in China during 1986–2012: A parallel slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 990-998.
    44. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    45. Jebali, Eya & Essid, Hédi & Khraief, Naceur, 2017. "The analysis of energy efficiency of the Mediterranean countries: A two-stage double bootstrap DEA approach," Energy, Elsevier, vol. 134(C), pages 991-1000.
    46. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Returns to scale and damages to scale on U.S. fossil fuel power plants: Radial and non-radial approaches for DEA environmental assessment," Energy Economics, Elsevier, vol. 34(6), pages 2240-2259.
    47. Mandal, Sabuj Kumar, 2010. "Do undesirable output and environmental regulation matter in energy efficiency analysis? Evidence from Indian Cement Industry," Energy Policy, Elsevier, vol. 38(10), pages 6076-6083, October.
    48. Mingzhe Yu & Qiang Zhou & Mui Yee Cheok & Jakub Kubiczek & Nadeem Iqbal, 2022. "Does green finance improve energy efficiency? New evidence from developing and developed economies," Economic Change and Restructuring, Springer, vol. 55(1), pages 485-509, February.
    49. Patrick Gasser & Marco Cinelli & Anna Labijak & Matteo Spada & Peter Burgherr & Miłosz Kadziński & Božidar Stojadinović, 2020. "Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis," Energies, MDPI, vol. 13(7), pages 1-35, March.
    50. Wang, Qunwei & Zhou, Peng & Zhou, Dequn, 2012. "Efficiency measurement with carbon dioxide emissions: The case of China," Applied Energy, Elsevier, vol. 90(1), pages 161-166.
    51. Sueyoshi, Toshiyuki & Goto, Mika & Ueno, Takahiro, 2010. "Performance analysis of US coal-fired power plants by measuring three DEA efficiencies," Energy Policy, Elsevier, vol. 38(4), pages 1675-1688, April.
    52. Xiaoling Wang & Feng He & Linfeng Zhang & Lili Chen, 2018. "Energy Efficiency of China’s Iron and Steel Industry from the Perspective of Technology Heterogeneity," Energies, MDPI, vol. 11(5), pages 1-11, May.
    53. Cui, Qiang & Kuang, Hai-bo & Wu, Chun-you & Li, Ye, 2014. "The changing trend and influencing factors of energy efficiency: The case of nine countries," Energy, Elsevier, vol. 64(C), pages 1026-1034.
    54. Massimo Filippini & Lester Hunt, 2012. "US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach," CEPE Working paper series 12-83, CEPE Center for Energy Policy and Economics, ETH Zurich.
    55. Pyoungsoo Lee & You-Jin Park, 2017. "Eco-Efficiency Evaluation Considering Environmental Stringency," Sustainability, MDPI, vol. 9(4), pages 1-18, April.
    56. António Carvalho, 2018. "Energy efficiency in transition economies : A stochastic frontier approach," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(3), pages 553-578, July.
    57. Özkara, Yücel & Atak, Mehmet, 2015. "Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey," Energy, Elsevier, vol. 93(P1), pages 495-510.
    58. Stéphane Blancard & Elsa Martin, 2012. "Energy efficiency measurement in agriculture with imprecise energy content information," INRA UMR CESAER Working Papers 2012/6, INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux.
    59. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    60. Shih-Heng Yu & Yu Gao & Yih-Chearng Shiue, 2017. "A Comprehensive Evaluation of Sustainable Development Ability and Pathway for Major Cities in China," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
    61. Ming Meng & Yanan Fu & Tianyu Wang & Kaiqiang Jing, 2017. "Analysis of Low-Carbon Economy Efficiency of Chinese Industrial Sectors Based on a RAM Model with Undesirable Outputs," Sustainability, MDPI, vol. 9(3), pages 1-18, March.
    62. Clara Inés Pardo Martínez, 2008. "Energy efficiency development in the German and Colombian Energy Intensive Sectors: A non-parametric analysis," Serie de Documentos en Economía y Violencia 6317, Centro de Investigaciones en Violencia, Instituciones y Desarrollo Económico (VIDE).
    63. Zhang, Puwei & You, Jianxin & Jia, Guangshe & Chen, Jindao & Yu, Anyu, 2018. "Estimation of carbon efficiency decomposition in materials and potential material savings for China's construction industry," Resources Policy, Elsevier, vol. 59(C), pages 148-159.
    64. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Yan, Ming-Zhe & Wang, Jian-Lin & Xie, Bai-Chen, 2019. "Which provincial administrative regions in China should reduce their coal consumption? An environmental energy input requirement function based analysis," Energy Policy, Elsevier, vol. 127(C), pages 51-63.
    65. Keskin, Burak, 2021. "An efficiency analysis on social prosperity: OPEC case under network DEA slack-based measure approach," Energy, Elsevier, vol. 231(C).
    66. Masayuki Shimizu & Oscar Tiku, 2023. "Evaluation of environmental energy efficiency and its influencing factors: a prefecture-level analysis of Japanese manufacturing industries," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-26, December.
    67. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    68. Victor von Loessl & Heike Wetzel, 2019. "Revenue decoupling and energy consumption: Empirical evidence from the U.S. electric utilities sector," MAGKS Papers on Economics 201918, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    69. Yu, Anyu & You, Jianxin & Rudkin, Simon & Zhang, Hao, 2019. "Industrial carbon abatement allocations and regional collaboration: Re-evaluating China through a modified data envelopment analysis," Applied Energy, Elsevier, vol. 233, pages 232-243.
    70. Makridou, Georgia & Andriosopoulos, Kostas & Doumpos, Michael & Zopounidis, Constantin, 2016. "Measuring the efficiency of energy-intensive industries across European countries," Energy Policy, Elsevier, vol. 88(C), pages 573-583.
    71. Meng, F.Y. & Zhou, D.Q. & Zhou, P. & Bai, Y., 2014. "Sectoral comparison of electricity-saving potentials in China: An analysis based on provincial input–output tables," Energy, Elsevier, vol. 72(C), pages 772-782.
    72. Fazıl Gökgöz & Ercem Erkul, 2014. "Energy Efficiency Analysis For The European Countries," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 8(1), pages 124-140.
    73. Li, Bo & Han, Yukai & Wang, Chensheng & Sun, Wei, 2022. "Did civilized city policy improve energy efficiency of resource-based cities? Prefecture-level evidence from China," Energy Policy, Elsevier, vol. 167(C).
    74. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2016. "Environmental investment and firm performance: A network approach," Energy Economics, Elsevier, vol. 57(C), pages 243-255.
    75. Lee, Myunghun & Zhang, Ning, 2012. "Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries," Energy Economics, Elsevier, vol. 34(5), pages 1492-1497.
    76. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Weak and strong disposability vs. natural and managerial disposability in DEA environmental assessment: Comparison between Japanese electric power industry and manufacturing industries," Energy Economics, Elsevier, vol. 34(3), pages 686-699.
    77. Demiral, Elif E. & Sağlam, Ümit, 2021. "Eco-efficiency and Eco-productivity assessments of the states in the United States: A two-stage Non-parametric analysis," Applied Energy, Elsevier, vol. 303(C).
    78. Gasser, Patrick, 2020. "A review on energy security indices to compare country performances," Energy Policy, Elsevier, vol. 139(C).
    79. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
    80. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.
    81. Jinchao Li & Yuwei Xiang & Huanyu Jia & Lin Chen, 2018. "Analysis of Total Factor Energy Efficiency and Its Influencing Factors on Key Energy-Intensive Industries in the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    82. Bian, Yiwen & He, Ping & Xu, Hao, 2013. "Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach," Energy Policy, Elsevier, vol. 63(C), pages 962-971.
    83. Massimo Filippini & Lester Hunt, 2015. "Measurement of Energy Efficiency Based on Economic Foundations," CER-ETH Economics working paper series 15/216, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    84. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "DEA radial measurement for environmental assessment and planning: Desirable procedures to evaluate fossil fuel power plants," Energy Policy, Elsevier, vol. 41(C), pages 422-432.
    85. Feng Li & Qingyuan Zhu & Jun Zhuang, 2018. "Analysis of fire protection efficiency in the United States: a two-stage DEA-based approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 23-68, January.
    86. David C Broadstock & Jiajia Li & Dayong Zhang, 2015. "Efficiency Snakes and Energy Ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 151, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    87. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Returns to Scale and Damages to Scale with Strong Complementary Slackness Conditions in DEA Assessment: Japanese Corporate Effort on Environment Protection," Energy Economics, Elsevier, vol. 34(5), pages 1422-1434.
    88. Sueyoshi, Toshiyuki & Yuan, Yan, 2015. "China's regional sustainability and diversified resource allocation: DEA environmental assessment on economic development and air pollution," Energy Economics, Elsevier, vol. 49(C), pages 239-256.
    89. Lizhan Cao & Zhongying Qi & Junxia Ren, 2017. "China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    90. F. Wu & P. Zhou & D. Zhou, 2015. "Measuring Energy Congestion in Chinese Industrial Sectors: A Slacks-Based DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 479-494, October.
    91. Shi, Guang-Ming & Bi, Jun & Wang, Jin-Nan, 2010. "Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs," Energy Policy, Elsevier, vol. 38(10), pages 6172-6179, October.
    92. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "DEA environmental assessment of coal fired power plants: Methodological comparison between radial and non-radial models," Energy Economics, Elsevier, vol. 34(6), pages 1854-1863.
    93. Huayong Niu & Zhishuo Zhang & Manting Luo, 2022. "Evaluation and Prediction of Low-Carbon Economic Efficiency in China, Japan and South Korea: Based on DEA and Machine Learning," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    94. Pardo Martínez, Clara Inés, 2013. "An analysis of eco-efficiency in energy use and CO2 emissions in the Swedish service industries," Socio-Economic Planning Sciences, Elsevier, vol. 47(2), pages 120-130.
    95. Ouyang, Wendi & Yang, Jian-bo, 2020. "The network energy and environment efficiency analysis of 27 OECD countries: A multiplicative network DEA model," Energy, Elsevier, vol. 197(C).
    96. Du, Kerui & Lin, Boqiang, 2017. "International comparison of total-factor energy productivity growth: A parametric Malmquist index approach," Energy, Elsevier, vol. 118(C), pages 481-488.
    97. Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.
    98. Lu, Yung-Hsiang & Chiu, Yung-Ho & Chiu, Ching-Ren & Wang, Yi-Ting, 2018. "Metafrontier Analysis Of The High-Tech Industryʼs Environmental Effciency In Japan And Taiwan," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 59(1), pages 9-24, June.
    99. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Environmental assessment by DEA radial measurement: U.S. coal-fired power plants in ISO (Independent System Operator) and RTO (Regional Transmission Organization)," Energy Economics, Elsevier, vol. 34(3), pages 663-676.
    100. Bampatsou, Christina & Halkos, George, 2018. "Dynamics of productivity taking into consideration the impact of energy consumption and environmental degradation," Energy Policy, Elsevier, vol. 120(C), pages 276-283.
    101. Du, Minzhe & Wang, Bing & Zhang, Ning, 2018. "National research funding and energy efficiency: Evidence from the National Science Foundation of China," Energy Policy, Elsevier, vol. 120(C), pages 335-346.
    102. Perry Sadorsky, 2021. "Eco-Efficiency for the G18: Trends and Future Outlook," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    103. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2012. "A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs?," Energy Policy, Elsevier, vol. 46(C), pages 574-584.
    104. Dolšak, Janez & Hrovatin, Nevenka & Zorić, Jelena, 2022. "Estimating the efficiency in overall energy consumption: Evidence from Slovenian household-level data," Energy Economics, Elsevier, vol. 114(C).
    105. Tajudeen, Ibrahim A., 2021. "The underlying drivers of economy-wide energy efficiency and asymmetric energy price responses," Energy Economics, Elsevier, vol. 98(C).
    106. Fu, Yelin & Lu, Yihe & Yu, Chen & Lai, Kin Keung, 2022. "Inter-country comparisons of energy system performance with the energy trilemma index: An ensemble ranking methodology based on the half-quadratic theory," Energy, Elsevier, vol. 261(PA).
    107. Tzu-Yu Lin & Sheng-Hsiung Chiu, 2018. "Sustainable Performance of Low-Carbon Energy Infrastructure Investment on Regional Development: Evidence from China," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    108. Ning Zhang & Jong-Dae Kim, 2014. "Measuring sustainability by Energy Efficiency Analysis for Korean Power Companies: A Sequential Slacks-Based Efficiency Measure," Sustainability, MDPI, vol. 6(3), pages 1-13, March.
    109. Jie Wu & Beibei Xiong & Qingxian An & Jiasen Sun & Huaqing Wu, 2017. "Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs," Annals of Operations Research, Springer, vol. 255(1), pages 257-276, August.
    110. Xie, Bai-Chen & Gao, Jie & Zhang, Shuang & Zhang, ZhongXiang, 2017. "What Factors Affect the Competiveness of Power Generation Sector in China? An Analysis Based on Game Cross-efficiency," MITP: Mitigation, Innovation and Transformation Pathways 254042, Fondazione Eni Enrico Mattei (FEEM).
    111. Lin, Boqiang & Guan, Chunxu, 2023. "Evaluation and determinants of total unified efficiency of China's manufacturing sector under the carbon neutrality target," Energy Economics, Elsevier, vol. 119(C).
    112. Feng, Chao & Wang, Miao, 2017. "The economy-wide energy efficiency in China’s regional building industry," Energy, Elsevier, vol. 141(C), pages 1869-1879.
    113. Sabuj Kumar Mandal & S Madheswaran, 2009. "Measuring Energy Use Efficiency in Presence of Undesirable Output: An Application of Data Envelopment Analysis (DEA) to Indian Cement Industry," Working Papers 235, Institute for Social and Economic Change, Bangalore.
    114. Kangjuan Lv & Anyu Yu & Yiwen Bian, 2017. "Regional energy efficiency and its determinants in China during 2001–2010: a slacks-based measure and spatial econometric analysis," Journal of Productivity Analysis, Springer, vol. 47(1), pages 65-81, February.
    115. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2016. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," Omega, Elsevier, vol. 63(C), pages 48-59.
    116. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "DEA radial measurement for environmental assessment: A comparative study between Japanese chemical and pharmaceutical firms," Applied Energy, Elsevier, vol. 115(C), pages 502-513.
    117. Haider, Salman & Danish, Mohd Shadab & Sharma, Ruchi, 2019. "Assessing energy efficiency of Indian paper industry and influencing factors: A slack-based firm-level analysis," Energy Economics, Elsevier, vol. 81(C), pages 454-464.
    118. Tengfei Huo & Hong Ren & Weiguang Cai & Wei Feng & Miaohan Tang & Nan Zhou, 2018. "The total-factor energy productivity growth of China’s construction industry: evidence from the regional level," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1593-1616, July.
    119. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    120. Zhibo Zhao & Tian Yuan & Xunpeng Shi & Lingdi Zhao, 2020. "Heterogeneity in the relationship between carbon emission performance and urbanization: evidence from China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1363-1380, October.
    121. Chen, Yingwen & Wong, Christina W.Y. & Yang, Rui & Miao, Xin, 2021. "Optimal structure adjustment strategy, emission reduction potential and utilization efficiency of fossil energies in China," Energy, Elsevier, vol. 237(C).
    122. Iftikhar, Yaser & Wang, Zhaohua & Zhang, Bin & Wang, Bo, 2018. "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, Elsevier, vol. 147(C), pages 197-207.
    123. West, Steele, 2021. "The Estimation of Farm Business Inefficiency in the Presence of Debt Repayment," 2021 Conference, August 17-31, 2021, Virtual 315048, International Association of Agricultural Economists.
    124. Goh, Tian & Ang, B.W., 2020. "Four reasons why there is so much confusion about energy efficiency," Energy Policy, Elsevier, vol. 146(C).
    125. Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Sahoo, Biresh K. & Mahanty, Biswajit, 2017. "Rationality of energy efficiency improvement targets under the PAT scheme in India – A case of thermal power plants," Energy Economics, Elsevier, vol. 66(C), pages 279-289.
    126. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    127. Harald Dyckhoff & Rainer Souren, 2023. "Are important phenomena of joint production still being neglected by economic theory? A review of recent literature," Journal of Business Economics, Springer, vol. 93(6), pages 1015-1053, August.
    128. Chia-Nan Wang & Hong-Xuyen Thi Ho & Ming-Hsien Hsueh, 2017. "An Integrated Approach for Estimating the Energy Efficiency of Seventeen Countries," Energies, MDPI, vol. 10(10), pages 1-16, October.
    129. Sueyoshi, Toshiyuki & Yuan, Yan, 2016. "Returns to damage under undesirable congestion and damages to return under desirable congestion measured by DEA environmental assessment with multiplier restriction: Economic and energy planning for s," Energy Economics, Elsevier, vol. 56(C), pages 288-309.
    130. Georgia Makridou, Kostas Andriosopoulos, Michael Doumpos, and Constantin Zopounidis, 2015. "A Two-stage approach for energy efficiency analysis in European Union countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    131. Meng, Conghui & Du, Xiaoyun & Zhu, Mengcheng & Ren, Yitian & Fang, Kai, 2023. "The static and dynamic carbon emission efficiency of transport industry in China," Energy, Elsevier, vol. 274(C).
    132. Zhencheng Xing & Jigan Wang & Jie Zhang, 2017. "CO 2 Emission Performance, Mitigation Potential, and Marginal Abatement Cost of Industries Covered in China’s Nationwide Emission Trading Scheme: A Meta-Frontier Analysis," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    133. Qingyou Yan & Xu Wang & Tomas Baležentis & Dalia Streimikiene, 2018. "Energy–economy–environmental (3E) performance of Chinese regions based on the data envelopment analysis model with mixed assumptions on disposability," Energy & Environment, , vol. 29(5), pages 664-684, August.
    134. Zhang, Shanshan & Lundgren, Tommy & Zhou, Wenchao, 2016. "Energy efficiency in Swedish industry," Energy Economics, Elsevier, vol. 55(C), pages 42-51.
    135. Song, Lianlian & Fu, Yelin & Zhou, Peng & Lai, Kin Keung, 2017. "Measuring national energy performance via Energy Trilemma Index: A Stochastic Multicriteria Acceptability Analysis," Energy Economics, Elsevier, vol. 66(C), pages 313-319.
    136. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    137. Haixia Cai & Ruguo Fan, 2019. "Regional Total Factor Energy Efficiency Evaluation of China: The Perspective of Social Welfare," Sustainability, MDPI, vol. 11(15), pages 1-16, July.
    138. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    139. Jie Wu & Qingyuan Zhu & Pengzhen Yin & Malin Song, 2017. "Measuring energy and environmental performance for regions in China by using DEA-based Malmquist indices," Operational Research, Springer, vol. 17(3), pages 715-735, October.
    140. Fazil Gokgoz & Serap Pelin Turkoglu, 2017. "Investigating the energy efficiencies of OECD countries via a slack-based undesirable output model," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2017(3), pages 73-94.
    141. Yu, Ming-Miin & Rakshit, Ipsita, 2023. "Target setting for airlines incorporating CO2 emissions: The DEA bargaining approach," Journal of Air Transport Management, Elsevier, vol. 108(C).
    142. Wang, Yongpei & Yan, Qing, 2023. "Is cleaner more efficient? Exploring nonlinear impacts of renewable energy deployment on regional total factor energy efficiency," Renewable Energy, Elsevier, vol. 216(C).
    143. Lim, Seong-Rin & Schoenung, Julie M., 2011. "Measurement and analysis of product energy efficiency to assist energy star criteria development: An example for desktop computers," Energy Policy, Elsevier, vol. 39(12), pages 8003-8010.
    144. Xiaoyang Zhou & Hao Chen & Hao Wang & Benjamin Lev & Lifang Quan, 2019. "Natural and Managerial Disposability Based DEA Model for China’s Regional Environmental Efficiency Assessment," Energies, MDPI, vol. 12(18), pages 1-20, September.
    145. Apostolos G. Christopoulos & Ioannis G. Dokas & Sofia Katsimardou & Konstantinos Vlachogiannatos, 2016. "Investigation of the relative efficiency for the Greek listed firms of the construction sector based on two DEA approaches for the period 2006–2012," Operational Research, Springer, vol. 16(3), pages 423-444, October.
    146. Zhou, D.Q. & Wu, F. & Zhou, X. & Zhou, P., 2016. "Output-specific energy efficiency assessment: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 177(C), pages 117-126.
    147. Li, Wanghong & Li, Zhepeng & Liang, Liang & Cook, Wade D., 2017. "Evaluation of ecological systems and the recycling of undesirable outputs: An efficiency study of regions in China," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 77-86.
    148. Fernández, David & Pozo, Carlos & Folgado, Rubén & Jiménez, Laureano & Guillén-Gosálbez, Gonzalo, 2018. "Productivity and energy efficiency assessment of existing industrial gases facilities via data envelopment analysis and the Malmquist index," Applied Energy, Elsevier, vol. 212(C), pages 1563-1577.
    149. Liang, Liang & Cook, Wade D. & Zhu, Joe, 2016. "DEA models for non-homogeneous DMUs with different input configurationsAuthor-Name: Li, WangHong," European Journal of Operational Research, Elsevier, vol. 254(3), pages 946-956.
    150. Cui, Qiang & Li, Ye, 2015. "Evaluating energy efficiency for airlines: An application of VFB-DEA," Journal of Air Transport Management, Elsevier, vol. 44, pages 34-41.
    151. Zhu, Lin & Wang, Yong & Shang, Peipei & Qi, Lin & Yang, Guangchun & Wang, Ying, 2019. "Improvement path, the improvement potential and the dynamic evolution of regional energy efficiency in China: Based on an improved nonradial multidirectional efficiency analysis," Energy Policy, Elsevier, vol. 133(C).
    152. Satoshi Honma & Jin-Li Hu, 2011. "Industry-level Total-factor Energy Efficiency in Developed Countries," Discussion Papers 51, Kyushu Sangyo University, Faculty of Economics.
    153. Kumar Mandal, Sabuj & Madheswaran, S., 2010. "Environmental efficiency of the Indian cement industry: An interstate analysis," Energy Policy, Elsevier, vol. 38(2), pages 1108-1118, February.
    154. Kounetas, Konstantinos & Stergiou, Eirini, 2019. "Technology heterogeneity in European industries' energy efficiency performance. The role of climate, greenhouse gases, path dependence and energy mix," MPRA Paper 92314, University Library of Munich, Germany.
    155. Yiwen Bian & Kangjuan Lv & Anyu Yu, 2017. "China’s regional energy and carbon dioxide emissions efficiency evaluation with the presence of recovery energy: an interval slacks-based measure approach," Annals of Operations Research, Springer, vol. 255(1), pages 301-321, August.
    156. Huijun Li & Jianhua Zhang & Edward Osei & Mark Yu, 2018. "Sustainable Development of China’s Industrial Economy: An Empirical Study of the Period 2001–2011," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    157. Sueyoshi, Toshiyuki & Yuan, Yan, 2015. "Comparison among U.S. industrial sectors by DEA environmental assessment: Equipped with analytical capability to handle zero or negative in production factors," Energy Economics, Elsevier, vol. 52(PA), pages 69-86.
    158. Ramon Sala-Garrido & Manuel Mocholi-Arce & Maria Molinos-Senante & Michail Smyrnakis & Alexandros Maziotis, 2021. "Eco-Efficiency of the English and Welsh Water Companies: A Cross Performance Assessment," IJERPH, MDPI, vol. 18(6), pages 1-17, March.
    159. Lin, Boqiang & Du, Kerui, 2013. "Technology gap and China's regional energy efficiency: A parametric metafrontier approach," Energy Economics, Elsevier, vol. 40(C), pages 529-536.
    160. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas & Sun, Chuanwang, 2019. "Atmospheric environmental productivity across the provinces of China: Joint decomposition of range adjusted measure and Luenberger productivity indicator," Energy Policy, Elsevier, vol. 132(C), pages 665-677.
    161. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    162. Fang, Hong & Wu, Junjie & Zeng, Catherine, 2009. "Comparative study on efficiency performance of listed coal mining companies in China and the US," Energy Policy, Elsevier, vol. 37(12), pages 5140-5148, December.
    163. Tang, Liwei & He, Gang, 2021. "How to improve total factor energy efficiency? An empirical analysis of the Yangtze River economic belt of China," Energy, Elsevier, vol. 235(C).
    164. Fu, Yelin & Lai, Kin Keung & Yu, Lean, 2021. "Multi-nation comparisons of energy architecture performance: A group decision-making method with preference structure and acceptability analysis," Energy Economics, Elsevier, vol. 96(C).
    165. Shuangjie Li & Hongyu Diao & Liming Wang & Chunqi Li, 2021. "Energy Efficiency Measurement: A VO TFEE Approach and Its Application," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    166. Malin Song & Guijun Zhang & Kuangnan Fang & Jing Zhang, 2016. "Regional operational and environmental performance evaluation in China: non-radial DEA methodology under natural and managerial disposability," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 243-265, November.
    167. He, Feng & Zhang, Qingzhi & Lei, Jiasu & Fu, Weihui & Xu, Xiaoning, 2013. "Energy efficiency and productivity change of China’s iron and steel industry: Accounting for undesirable outputs," Energy Policy, Elsevier, vol. 54(C), pages 204-213.
    168. Sueyoshi, Toshiyuki & Goto, Mika, 2013. "Returns to scale vs. damages to scale in data envelopment analysis: An impact of U.S. clean air act on coal-fired power plants," Omega, Elsevier, vol. 41(2), pages 164-175.
    169. Zhao, Yueyang & Mao, Jinzhou, 2022. "Energy effects of non-energy policies: Minimum wage standard and enterprise energy efficiency in China," Resources Policy, Elsevier, vol. 79(C).
    170. Walheer, Barnabé, 2018. "Economic growth and greenhouse gases in Europe: A non-radial multi-sector nonparametric production-frontier analysis," Energy Economics, Elsevier, vol. 74(C), pages 51-62.
    171. Yang Li & An-Chi Liu & Shu-Mei Wang & Yiting Zhan & Jingran Chen & Hsiao-Fen Hsiao, 2022. "A Study of Total-Factor Energy Efficiency for Regional Sustainable Development in China: An Application of Bootstrapped DEA and Clustering Approach," Energies, MDPI, vol. 15(9), pages 1-13, April.
    172. Kiril Simeonovski & Tamara Kaftandzieva & Gregory Brock, 2021. "Energy Efficiency Management across EU Countries: A DEA Approach," Energies, MDPI, vol. 14(9), pages 1-19, May.
    173. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "DEA radial and non-radial models for unified efficiency under natural and managerial disposability: Theoretical extension by strong complementary slackness conditions," Energy Economics, Elsevier, vol. 34(3), pages 700-713.
    174. Takayabu, Hirotaka, 2020. "CO2 mitigation potentials in manufacturing sectors of 26 countries," Energy Economics, Elsevier, vol. 86(C).
    175. Weibin Lin & Bin Chen & Lina Xie & Haoran Pan, 2015. "Estimating Energy Consumption of Transport Modes in China Using DEA," Sustainability, MDPI, vol. 7(4), pages 1-15, April.
    176. Oleg Badunenko & Subal C. Kumbhakar, 2020. "Energy Intensity and Long- and Short-Term Efficiency in US Manufacturing Industry," Energies, MDPI, vol. 13(15), pages 1-21, August.
    177. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    178. Mushtaq Taleb & Ruzelan Khalid & Ali Emrouznejad & Razamin Ramli, 2023. "Environmental efficiency under weak disposability: an improved super efficiency data envelopment analysis model with application for assessment of port operations considering NetZero," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6627-6656, July.
    179. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    180. Fabio Vitor & Todd Easton, 2018. "The double pivot simplex method," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 87(1), pages 109-137, February.
    181. Nicholas Apergis & Goodness C. Aye & Carlos P. Barros & Rangan Gupta & Peter Wanke, 2014. "Energy Efficiency of Selected OECD Countries: A Slacks Based Model with Undesirable Outputs," Working Papers 201477, University of Pretoria, Department of Economics.
    182. Jindal, Abhinav & Nilakantan, Rahul, 2021. "Falling efficiency levels of Indian coal-fired power plants: A slacks-based analysis," Energy Economics, Elsevier, vol. 93(C).
    183. Yang, Mian & Yang, Fu-Xia & Chen, Xing-Peng, 2011. "Effects of substituting energy with capital on China's aggregated energy and environmental efficiency," Energy Policy, Elsevier, vol. 39(10), pages 6065-6072, October.
    184. Wu, Hua-qing & Shi, Yan & Xia, Qiong & Zhu, Wei-dong, 2014. "Effectiveness of the policy of circular economy in China: A DEA-based analysis for the period of 11th five-year-plan," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 163-175.
    185. Yao, Xing & Yasmeen, Rizwana & Hussain, Jamal & Hassan Shah, Wasi Ul, 2021. "The repercussions of financial development and corruption on energy efficiency and ecological footprint: Evidence from BRICS and next 11 countries," Energy, Elsevier, vol. 223(C).
    186. Boban Djordjević & Evelin Krmac, 2019. "Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach," Energies, MDPI, vol. 12(15), pages 1-27, July.
    187. Francesca Giambona & Erasmo Vassallo, 2014. "Composite Indicator of Social Inclusion for European Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 269-293, March.
    188. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "Operational synergy in the US electric utility industry under an influence of deregulation policy: A linkage to financial performance and corporate value," Energy Policy, Elsevier, vol. 39(2), pages 699-713, February.
    189. Sun Meng & Wei Zhou & Jin Chen & Cheng Zhang, 2018. "A synthesized data envelopment analysis model and its application in resource efficiency evaluation and dynamic trend analysis," Energy & Environment, , vol. 29(2), pages 260-280, March.
    190. Honma, Satoshi & Hu, Jin-Li, 2014. "Industry-level total-factor energy efficiency in developed countries: A Japan-centered analysis," Applied Energy, Elsevier, vol. 119(C), pages 67-78.
    191. Lin, Boqiang & Du, Kerui, 2014. "Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy," Energy, Elsevier, vol. 76(C), pages 884-890.
    192. Teng, Mingming & Shen, Minghao, 2023. "Fintech and energy efficiency: Evidence from OECD countries," Resources Policy, Elsevier, vol. 82(C).
    193. Chen, Xiaodong & Wu, Ge & Li, Ding, 2019. "Efficiency measure on the truck restriction policy in China: A non-radial data envelopment model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 140-154.
    194. Yuan, Qianqian & Fang Chin Cheng, Charles & Wang, Jiayu & Zhu, Tian-Tian & Wang, Ke, 2020. "Inclusive and sustainable industrial development in China: An efficiency-based analysis for current status and improving potentials," Applied Energy, Elsevier, vol. 268(C).
    195. George Halkos & Kleoniki Natalia Petrou, 2019. "Analysing the Energy Efficiency of EU Member States: The Potential of Energy Recovery from Waste in the Circular Economy," Energies, MDPI, vol. 12(19), pages 1-32, September.
    196. Chiang-Ping Chen & Ming-Chung Chang & Wei-Che Tsai, 2021. "Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: Evidence from ASEAN+6," SAGE Open, , vol. 11(3), pages 21582440211, September.
    197. Šprajc, Polona & Bjegović, Miroslav & Vasić, Bojana, 2019. "Energy security in decision making and governance - Methodological analysis of energy trilemma index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    198. Filippini, Massimo & Hunt, Lester C. & Zorić, Jelena, 2014. "Impact of energy policy instruments on the estimated level of underlying energy efficiency in the EU residential sector," Energy Policy, Elsevier, vol. 69(C), pages 73-81.
    199. Pyoungsoo Lee, 2022. "Ranking Decision Making for Eco-Efficiency Using Operational, Energy, and Environmental Efficiency," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    200. Joanne Evans & Massimo Filippini & Lester C. Hunt, 2013. "The contribution of energy efficiency towards meeting CO2 targets," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 8, pages 175-223, Edward Elgar Publishing.
    201. Bampatsou, Christina & Halkos, George & Beneki, Christina, 2021. "Energy and material flow management to improve EU productivity," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 83-93.
    202. Chia-Nan Wang & Hoang-Phu Nguyen & Cheng-Wen Chang, 2021. "Environmental Efficiency Evaluation in the Top Asian Economies: An Application of DEA," Mathematics, MDPI, vol. 9(8), pages 1-19, April.
    203. Yongrok Choi & Dong-hyun Oh & Ning Zhang, 2015. "Environmentally sensitive productivity growth and its decompositions in China: a metafrontier Malmquist–Luenberger productivity index approach," Empirical Economics, Springer, vol. 49(3), pages 1017-1043, November.
    204. Zeng, Ximei & Zhou, Zhongbao & Gong, Yeming & Liu, Wenbin, 2022. "A data envelopment analysis model integrated with portfolio theory for energy mix adjustment: Evidence in the power industry," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    205. Kung, Chih-Chun & Zhang, Ning, 2015. "Renewable energy from pyrolysis using crops and agricultural residuals: An economic and environmental evaluation," Energy, Elsevier, vol. 90(P2), pages 1532-1544.
    206. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "Measurement of Returns to Scale and Damages to Scale for DEA-based operational and environmental assessment: How to manage desirable (good) and undesirable (bad) outputs?," European Journal of Operational Research, Elsevier, vol. 211(1), pages 76-89, May.
    207. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    208. Xu, Tengfang & Karali, Nihan & Sathaye, Jayant, 2014. "Undertaking high impact strategies: The role of national efficiency measures in long-term energy and emission reduction in steel making," Applied Energy, Elsevier, vol. 122(C), pages 179-188.
    209. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Returns to scale and damages to scale under natural and managerial disposability: Strategy, efficiency and competitiveness of petroleum firms," Energy Economics, Elsevier, vol. 34(3), pages 645-662.
    210. Feng, Chao & Wang, Miao & Liu, Guan-Chun & Huang, Jian-Bai, 2017. "Sources of economic growth in China from 2000–2013 and its further sustainable growth path: A three-hierarchy meta-frontier data envelopment analysis," Economic Modelling, Elsevier, vol. 64(C), pages 334-348.
    211. Jinchao Li & Jinying Li & Fengting Zheng, 2014. "Unified Efficiency Measurement of Electric Power Supply Companies in China," Sustainability, MDPI, vol. 6(2), pages 1-15, February.
    212. Shah, Wasi Ul Hassan & Hao, Gang & Yan, Hong & Yasmeen, Rizwana & Padda, Ihtsham Ul Haq & Ullah, Assad, 2022. "The impact of trade, financial development and government integrity on energy efficiency: An analysis from G7-Countries," Energy, Elsevier, vol. 255(C).
    213. Guo, Xiao-Dan & Zhu, Lei & Fan, Ying & Xie, Bai-Chen, 2011. "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, Elsevier, vol. 39(5), pages 2352-2360, May.
    214. Linlin Zhao & Yong Zha & Kangning Wei & Liang Liang, 2017. "A target-based method for energy saving and carbon emissions reduction in China based on environmental data envelopment analysis," Annals of Operations Research, Springer, vol. 255(1), pages 277-300, August.

  128. Zhou, P. & Ang, B.W., 2008. "Decomposition of aggregate CO2 emissions: A production-theoretical approach," Energy Economics, Elsevier, vol. 30(3), pages 1054-1067, May.

    Cited by:

    1. Ning Chang & Michael L. Lahr, 2016. "Changes in China’s production-source CO 2 emissions: insights from structural decomposition analysis and linkage analysis," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 224-242, June.
    2. Du, Kerui & Lin, Boqiang, 2015. "Understanding the rapid growth of China's energy consumption: A comprehensive decomposition framework," Energy, Elsevier, vol. 90(P1), pages 570-577.
    3. Assaf, A. George & Barros, Carlos Pestana & Managi, Shunsuke, 2011. "Cost efficiency of Japanese steam power generation companies: A Bayesian comparison of random and fixed frontier models," Applied Energy, Elsevier, vol. 88(4), pages 1441-1446, April.
    4. Li, Ding & Gao, Ming & Hou, Wenxuan & Song, Malin & Chen, Jiandong, 2020. "A modified and improved method to measure economy-wide carbon rebound effects based on the PDA-MMI approach," Energy Policy, Elsevier, vol. 147(C).
    5. Qinliang Tan & Jin Zheng & Yihong Ding & Yimei Zhang, 2020. "Provincial Carbon Emission Quota Allocation Study in China from the Perspective of Abatement Cost and Regional Cooperation," Sustainability, MDPI, vol. 12(20), pages 1-20, October.
    6. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    7. Li, Jia Shuo & Zhou, H.W. & Meng, Jing & Yang, Q. & Chen, B. & Zhang, Y.Y., 2018. "Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city," Applied Energy, Elsevier, vol. 226(C), pages 1076-1086.
    8. Yongyi Cheng & Liheng Lu & Tianyuan Shao & Manhong Shen & Laiqun Jin, 2018. "Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China: Based on a SSBM-GMI Approach," IJERPH, MDPI, vol. 15(12), pages 1-23, December.
    9. Li, Yonglin & Zuo, Zhili & Cheng, Yue & Cheng, Jinhua & Xu, Deyi, 2023. "Towards a decoupling between regional economic growth and CO2 emissions in China's mining industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 80(C).
    10. Zhou, P. & Ang, B.W., 2008. "Linear programming models for measuring economy-wide energy efficiency performance," Energy Policy, Elsevier, vol. 36(8), pages 2901-2906, August.
    11. Wang, Miao & Feng, Chao, 2017. "Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors," Applied Energy, Elsevier, vol. 190(C), pages 772-787.
    12. Lin, Boqiang & Chen, Yu & Zhang, Guoliang, 2018. "Impact of technological progress on China's textile industry and future energy saving potential forecast," Energy, Elsevier, vol. 161(C), pages 859-869.
    13. Weihua Su & Yuying Wang & Dalia Streimikiene & Tomas Balezentis & Chonghui Zhang, 2020. "Carbon dioxide emission decomposition along the gradient of economic development: The case of energy sustainability in the G7 and Brazil, Russia, India, China and South Africa," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 657-669, July.
    14. Zhang, Wei & You, Jianmin & Lin, Weiwen, 2021. "Internet plus and China industrial system's low-carbon development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    15. Chen, Chien-Ming, 2013. "A critique of non-parametric efficiency analysis in energy economics studies," Energy Economics, Elsevier, vol. 38(C), pages 146-152.
    16. Liu, Xiao & Zhou, Dequn & Zhou, Peng & Wang, Qunwei, 2017. "What drives CO2 emissions from China’s civil aviation? An exploration using a new generalized PDA method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 30-45.
    17. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    18. Gangopadhyay, Partha & Shankar, Sriram, 2016. "Energy efficiency in the ACI (ASEAN-China-India) countries: is there room for regional policy coordination?," International Journal of Development and Conflict, Gokhale Institute of Politics and Economics, vol. 6(2), pages 121-135.
    19. You, Jianmin & Zhang, Wei, 2022. "How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China's industries," Energy, Elsevier, vol. 247(C).
    20. Xavier Labandeira Villot & Pedro Linares, 2009. "Energy Efficiency: Economics and Policy," Economic Reports 06-09, FEDEA.
    21. Barros, Carlos Pestana & Chen, Zhongfei & Managi, Shunsuke & Antunes, Olinda Sequeira, 2013. "Examining the cost efficiency of Chinese hydroelectric companies using a finite mixture model," Energy Economics, Elsevier, vol. 36(C), pages 511-517.
    22. Sicen Liu & Xiaodong Chen & Zhiyang Shen & Tomas Baležentis, 2022. "Industrial energy consumption and pollutant emissions: Combined decomposition of relative performance and absolute changes," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3454-3469, November.
    23. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    24. Chen, B. & Li, J.S. & Zhou, S.L. & Yang, Q. & Chen, G.Q., 2018. "GHG emissions embodied in Macao's internal energy consumption and external trade: Driving forces via decomposition analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4100-4106.
    25. Luo, Yulong & Zeng, Weiliang & Wang, Yueqiang & Li, Danzhou & Hu, Xianbiao & Zhang, Hua, 2021. "A hybrid approach for examining the drivers of energy consumption in Shanghai," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    26. Zheming Yan & Lan Yi & Kerui Du & Zhiming Yang, 2017. "Impacts of Low-Carbon Innovation and Its Heterogeneous Components on CO 2 Emissions," Sustainability, MDPI, vol. 9(4), pages 1-14, April.
    27. Song, Malin & Zhang, Jie & Wang, Shuhong, 2015. "Review of the network environmental efficiencies of listed petroleum enterprises in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 65-71.
    28. Lin, Boqiang & Moubarak, Mohamed, 2013. "Decomposition analysis: Change of carbon dioxide emissions in the Chinese textile industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 389-396.
    29. Yang Liu & Ruochan Xiong & Shigong Lv & Da Gao, 2022. "The Impact of Digital Finance on Green Total Factor Energy Efficiency: Evidence at China’s City Level," Energies, MDPI, vol. 15(15), pages 1-17, July.
    30. Richard S.J. Tol & Stephen W. Pacala & Robert Socolow, 2006. "Understanding Long-Term Energy Use and Carbon Dioxide Emissions in the Usa," Working Papers 2006.107, Fondazione Eni Enrico Mattei.
    31. Wen, Le & Guang, Fengtao & Sharp, Basil, 2021. "Dynamics in Aotearoa New Zealand’s energy consumption between 2006/2007 and 2012/2013," Energy, Elsevier, vol. 225(C).
    32. Guo, Xiaoying & Lu, Ching-Cheng & Lee, Jen-Hui & Chiu, Yung-Ho, 2017. "Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China," Energy, Elsevier, vol. 134(C), pages 392-399.
    33. Yue-Jun Zhang & Ya-Bin Da, 2013. "Decomposing the changes of energy-related carbon emissions in China: Evidence from the PDA approach," CEEP-BIT Working Papers 45, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    34. Ching-Cheng Lu & Liang-Chun Lu, 2019. "Evaluating the energy efficiency of European Union countries: The dynamic data envelopment analysis," Energy & Environment, , vol. 30(1), pages 27-43, February.
    35. Lin, Boqiang & Moubarak, Mohamed, 2014. "Estimation of energy saving potential in China's paper industry," Energy, Elsevier, vol. 65(C), pages 182-189.
    36. Charles-Henri DiMaria, 2014. "Sustainability matters," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1257-1269, May.
    37. Xiao, Zhaohua & Du, Limin & Wang, Zheng, 2023. "The Belt, the Road, and the carbon emissions in China," China Economic Review, Elsevier, vol. 78(C).
    38. Béchir Ben Lahouel & Younes Ben Zaied & Guo-liang Yang & Maria-Giuseppina Bruna & Yaoyao Song, 2022. "A non-parametric decomposition of the environmental performance-income relationship: evidence from a non-linear model," Annals of Operations Research, Springer, vol. 313(1), pages 525-558, June.
    39. Jiandong Chen & Chong Xu & Yinyin Wu & Zihao Li & Malin Song, 2022. "Drivers and trajectories of China’s renewable energy consumption," Annals of Operations Research, Springer, vol. 313(1), pages 441-459, June.
    40. Pan, Xiongfeng & Uddin, Md. Kamal & Saima, Umme & Jiao, Zhiming & Han, Cuicui, 2019. "How do industrialization and trade openness influence energy intensity? Evidence from a path model in case of Bangladesh," Energy Policy, Elsevier, vol. 133(C).
    41. Zhang, Yue-Jun & Da, Ya-Bin, 2015. "The decomposition of energy-related carbon emission and its decoupling with economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1255-1266.
    42. Yongyi Cheng & Tianyuan Shao & Huilin Lai & Manhong Shen & Yi Li, 2019. "Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China," IJERPH, MDPI, vol. 16(20), pages 1-14, October.
    43. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    44. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy & Weber, William L., 2016. "Time substitution for environmental performance: The case of Sweden manufacturing," CERE Working Papers 2016:3, CERE - the Center for Environmental and Resource Economics.
    45. Li, Li & Hong, Xuefei & Wang, Jun, 2020. "Evaluating the impact of clean energy consumption and factor allocation on China’s air pollution: A spatial econometric approach," Energy, Elsevier, vol. 195(C).
    46. Zhou, Chaobo & Qi, Shaozhou, 2022. "Has the pilot carbon trading policy improved China's green total factor energy efficiency?," Energy Economics, Elsevier, vol. 114(C).
    47. Barros, Carlos Pestana & Managi, Shunsuke, 2009. "Productivity assessment of Angola's oil blocks," Energy, Elsevier, vol. 34(11), pages 2009-2015.
    48. Li, Rongrong & Han, Xinyu & Wang, Qiang, 2023. "Do technical differences lead to a widening gap in China's regional carbon emissions efficiency? Evidence from a combination of LMDI and PDA approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    49. Xu, Chong, 2023. "Towards balanced low-carbon development: Driver and complex network of urban-rural energy-carbon performance gap in China," Applied Energy, Elsevier, vol. 333(C).
    50. Rolf Färe & Shawna Grosskopf & Carl A. Pasurka & Ron Shadbegian, 2018. "Pollution abatement and employment," Empirical Economics, Springer, vol. 54(1), pages 259-285, February.
    51. Pani, Ratnakar & Mukhopadhyay, Ujjaini, 2013. "Management accounting approach to analyse energy related CO2 emission: A variance analysis study of top 10 emitters of the world," Energy Policy, Elsevier, vol. 52(C), pages 639-655.
    52. Chong, Chin Hao & Tan, Wei Xin & Ting, Zhao Jia & Liu, Pei & Ma, Linwei & Li, Zheng & Ni, Weidou, 2019. "The driving factors of energy-related CO2 emission growth in Malaysia: The LMDI decomposition method based on energy allocation analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    53. Lin, Boqiang & Du, Kerui, 2014. "Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 129(C), pages 158-165.
    54. Yun-Hsun Huang & Jung-Hua Wu & Hao-Syuan Huang, 2021. "Analyzing the Driving Forces behind CO 2 Emissions in Energy-Resource-Poor and Fossil-Fuel-Centered Economies: Case Studies from Taiwan, Japan, and South Korea," Energies, MDPI, vol. 14(17), pages 1-14, August.
    55. Dan Wu & Ching-Cheng Lu & Xiang Chen & Pei-Chieh Tu & An-Chi Yang & Chih-Yu Yang, 2021. "Evaluating the Dynamic Energy Production Efficiency in APEC Economies," Energies, MDPI, vol. 14(14), pages 1-20, July.
    56. Li, Man, 2010. "Decomposing the change of CO2 emissions in China: A distance function approach," Ecological Economics, Elsevier, vol. 70(1), pages 77-85, November.
    57. Zhang, Wei & Wang, Nan, 2021. "Decomposition of energy intensity in Chinese industries using an extended LMDI method of production element endowment," Energy, Elsevier, vol. 221(C).
    58. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).
    59. Lizhan Cao & Hui Wang, 2022. "The Slowdown in China’s Energy Consumption Growth in the “New Normal” Stage: From Both National and Regional Perspectives," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    60. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    61. Dequn Zhou & Xiao Liu & Peng Zhou & Qunwei Wang, 2017. "Decomposition Analysis of Aggregate Energy Consumption in China: An Exploration Using a New Generalized PDA Method," Sustainability, MDPI, vol. 9(5), pages 1-13, April.
    62. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    63. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    64. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
    65. Xiaolei Liu & Heng Chen & Cheng Peng & Mingqiu Li, 2022. "Assessing the Drivers of Carbon Intensity Change in China: A Dynamic Spatial–Temporal Production-Theoretical Decomposition Analysis Approach," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    66. Wang, Feng & Sun, Xiaoyu & Reiner, David M. & Wu, Min, 2020. "Changing trends of the elasticity of China's carbon emission intensity to industry structure and energy efficiency," Energy Economics, Elsevier, vol. 86(C).
    67. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    68. Boqiang Lin, & Wang, Miao, 2019. "Possibilities of decoupling for China’s energy consumption from economic growth: A temporal-spatial analysis," Energy, Elsevier, vol. 185(C), pages 951-960.
    69. Mussini, Mauro & Grossi, Luigi, 2015. "Decomposing changes in CO2 emission inequality over time: The roles of re-ranking and changes in per capita CO2 emission disparities," Energy Economics, Elsevier, vol. 49(C), pages 274-281.
    70. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    71. Xiao Liu & Yancai Zhang & Yingying Li, 2022. "How Does Energy Consumption and Economic Development Affect Carbon Emissions? A Multi-Process Decomposition Framework," Energies, MDPI, vol. 15(23), pages 1-16, November.
    72. Huang, Fei & Zhou, Dequn & Wang, Qunwei & Hang, Ye, 2019. "Decomposition and attribution analysis of the transport sector’s carbon dioxide intensity change in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 343-358.
    73. Sueyoshi, Toshiyuki & Li, Aijun & Liu, Xiaohong, 2019. "Exploring sources of China's CO2 emission: Decomposition analysis under different technology changes," European Journal of Operational Research, Elsevier, vol. 279(3), pages 984-995.
    74. Liyun Chen & Qi Duan, 2016. "Decomposition analysis of factors driving CO2 emissions in Chinese provinces based on production-theoretical decomposition analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 267-277, November.
    75. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    76. Ramli, Noor Asiah & Munisamy, Susila, 2015. "Eco-efficiency in greenhouse emissions among manufacturing industries: A range adjusted measure," Economic Modelling, Elsevier, vol. 47(C), pages 219-227.
    77. Zhang, Xing-Ping & Zhang, Jing & Tan, Qin-Liang, 2013. "Decomposing the change of CO2 emissions: A joint production theoretical approach," Energy Policy, Elsevier, vol. 58(C), pages 329-336.
    78. Shichun Xu & Yongmei Miao & Yiwen Li & Yifeng Zhou & Xiaoxue Ma & Zhengxia He & Bin Zhao & Shuxiao Wang, 2019. "What Factors Drive Air Pollutants in China? An Analysis from the Perspective of Regional Difference Using a Combined Method of Production Decomposition Analysis and Logarithmic Mean Divisia Index," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    79. Kekui Chen & Jianming Fu & Yun Gong & Jian Wang & Shilin Lv & Yajie Liu & Jingyun Li, 2022. "Study on the Influencing Factors of CO 2 from the Perspective of CO 2 Mitigation Potentials," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    80. Da Gao & Chang Liu & Xinyan Wei & Yang Liu, 2023. "Can River Chief System Policy Improve Enterprises’ Energy Efficiency? Evidence from China," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    81. Huang, Yun-Hsun, 2020. "Examining impact factors of residential electricity consumption in Taiwan using index decomposition analysis based on end-use level data," Energy, Elsevier, vol. 213(C).
    82. Zha, Donglan & Yang, Guanglei & Wang, Qunwei, 2019. "Investigating the driving factors of regional CO2 emissions in China using the IDA-PDA-MMI method," Energy Economics, Elsevier, vol. 84(C).
    83. Alkan, Ayla & Oğuş-Binatlı, Ayla, 2021. "Is Production or Consumption the Determiner? Sources of Turkey’s CO2 Emissions between 1990-2015 and Policy Implications," MPRA Paper 111635, University Library of Munich, Germany, revised 11 Feb 2021.
    84. Chen, Jiandong & Xu, Chong & Huang, Shuo & Shen, Zhiyang & Song, Malin & Wang, Shiqi, 2022. "Adjusted carbon intensity in China: Trend, driver, and network," Energy, Elsevier, vol. 251(C).
    85. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2015. "Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 51(C), pages 252-260.
    86. Zhao, Zhibo & Shi, Xunpeng & Zhao, Lingdi & Zhang, Jinggu, 2020. "Extending production-theoretical decomposition analysis to environmentally sensitive growth: Case study of Belt and Road Initiative countries," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    87. Chiu, Ching-Ren & Liou, Je-Liang & Wu, Pei-Ing & Fang, Chen-Ling, 2012. "Decomposition of the environmental inefficiency of the meta-frontier with undesirable output," Energy Economics, Elsevier, vol. 34(5), pages 1392-1399.
    88. Du, Kerui & Xie, Chunping & Ouyang, Xiaoling, 2017. "A comparison of carbon dioxide (CO2) emission trends among provinces in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 19-25.
    89. Azam, Muhammad & Younes, Ben Zaied & Hunjra, Ahmed Imran & Hussain, Nazim, 2022. "Integrated Spatial-Temporal decomposition analysis for life cycle assessment of carbon emission intensity change in various regions of China," Resources Policy, Elsevier, vol. 79(C).
    90. Bretholt, Abraham & Pan, Jeh-Nan, 2013. "Evolving the latent variable model as an environmental DEA technology," Omega, Elsevier, vol. 41(2), pages 315-325.
    91. Meng, Lei & Guo, Ju'e & Chai, Jian & Zhang, Zengkai, 2011. "China's regional CO2 emissions: Characteristics, inter-regional transfer and emission reduction policies," Energy Policy, Elsevier, vol. 39(10), pages 6136-6144, October.
    92. Song, Yan & Zhang, Ming & Shan, Cheng, 2019. "Research on the decoupling trend and mitigation potential of CO2 emissions from China's transport sector," Energy, Elsevier, vol. 183(C), pages 837-843.
    93. Xu, Chong & Wang, Bingjie & Chen, Jiandong & Shen, Zhiyang & Song, Malin & An, Jiafu, 2022. "Carbon inequality in China: Novel drivers and policy driven scenario analysis," Energy Policy, Elsevier, vol. 170(C).
    94. Kuang, Yunming & Lin, Boqiang, 2022. "Natural gas resource utilization, environmental policy and green economic development: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    95. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    96. Xiangyu Teng & Liang Chun Lu & Yung-ho Chiu, 2018. "Considering Emission Treatment for Energy-Efficiency Improvement and Air Pollution Reduction in China’s Industrial Sector," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
    97. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    98. Kerui Du & Boqiang Lin & Chunping Xie, 2017. "Exploring Change in China’s Carbon Intensity: A Decomposition Approach," Sustainability, MDPI, vol. 9(2), pages 1-14, February.
    99. Xiangyu Teng & Danting Lu & Yung-ho Chiu, 2019. "Emission Reduction and Energy Performance Improvement with Different Regional Treatment Intensity in China," Energies, MDPI, vol. 12(2), pages 1-18, January.
    100. Tan, Ruipeng & Lin, Boqiang, 2018. "What factors lead to the decline of energy intensity in China's energy intensive industries?," Energy Economics, Elsevier, vol. 71(C), pages 213-221.
    101. Chen, Jiandong & Xu, Chong & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2019. "Driving factors of CO2 emissions and inequality characteristics in China: A combined decomposition approach," Energy Economics, Elsevier, vol. 78(C), pages 589-597.
    102. Wang, Chunhua & Cao, Xiaoyong & Mao, Jie & Qin, Ping, 2019. "The changes in coal intensity of electricity generation in Chinese coal-fired power plants," Energy Economics, Elsevier, vol. 80(C), pages 491-501.
    103. Fan, Jing-Li & Da, Ya-Bin & Wan, Si-Lai & Zhang, Mian & Cao, Zhe & Wang, Yu & Zhang, Xian, 2019. "Determinants of carbon emissions in ‘Belt and Road initiative’ countries: A production technology perspective," Applied Energy, Elsevier, vol. 239(C), pages 268-279.
    104. Zhou, Xun & Kuosmanen, Timo, 2020. "What drives decarbonization of new passenger cars?," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1043-1057.
    105. Gao, Ming, 2023. "The impacts of carbon trading policy on China's low-carbon economy based on county-level perspectives," Energy Policy, Elsevier, vol. 175(C).
    106. Min Su & Shasha Wang & Rongrong Li & Ningning Guo, 2020. "Decomposition analysis of the decoupling process between economic growth and carbon emission in Beijing city, China: A sectoral perspective," Energy & Environment, , vol. 31(6), pages 961-982, September.
    107. Takayabu, Hirotaka, 2020. "CO2 mitigation potentials in manufacturing sectors of 26 countries," Energy Economics, Elsevier, vol. 86(C).
    108. Yunfei An & Dequn Zhou & Qunwei Wang, 2022. "Carbon emission reduction potential and its influencing factors in China’s coal-fired power industry: a cost optimization and decomposition analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3619-3639, March.
    109. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    110. Chen, Jiandong & Xu, Chong & Shahbaz, Muhammad & Song, Malin, 2021. "Interaction determinants and projections of China’s energy consumption: 1997–2030," Applied Energy, Elsevier, vol. 283(C).
    111. Hu, Junfeng & Kahrl, Fredrich & Yan, Qingyou & Wang, Xiaoya, 2012. "The impact of China's differential electricity pricing policy on power sector CO2 emissions," Energy Policy, Elsevier, vol. 45(C), pages 412-419.
    112. Cui, Huanyu & Cao, Yuequn, 2023. "How can market-oriented environmental regulation improve urban energy efficiency? Evidence from quasi-experiment in China's SO2 trading emissions system," Energy, Elsevier, vol. 278(C).
    113. Zhang, Xing-Ping & Tan, Ya-Kun & Tan, Qin-Liang & Yuan, Jia-Hai, 2012. "Decomposition of aggregate CO2 emissions within a joint production framework," Energy Economics, Elsevier, vol. 34(4), pages 1088-1097.
    114. Yu, Bolin & Fang, Debin & Xiao, Kun & Pan, Yuling, 2023. "Drivers of renewable energy penetration and its role in power sector's deep decarbonization towards carbon peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    115. Song, Yi & Huang, Jian-Bai & Feng, Chao, 2018. "Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 59(C), pages 103-116.
    116. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "The driving forces and potential mitigation of energy-related CO2 emissions in China's metal industry," Resources Policy, Elsevier, vol. 59(C), pages 487-494.
    117. Sheinbaum-Pardo, Claudia, 2016. "Decomposition analysis from demand services to material production: The case of CO2 emissions from steel produced for automobiles in Mexico," Applied Energy, Elsevier, vol. 174(C), pages 245-255.
    118. Kim, Kyunam & Kim, Yeonbae, 2012. "International comparison of industrial CO2 emission trends and the energy efficiency paradox utilizing production-based decomposition," Energy Economics, Elsevier, vol. 34(5), pages 1724-1741.
    119. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    120. Gao, Da & Li, Ge & Yu, Jiyu, 2022. "Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities," Energy, Elsevier, vol. 247(C).
    121. Wang, Miao & Feng, Chao, 2018. "Investigating the drivers of energy-related CO2 emissions in China’s industrial sector: From regional and provincial perspectives," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 136-147.
    122. Huang, He & Hong, Jingke & Wang, Xianzhu & Chang-Richards, Alice & Zhang, Jingxiao & Qiao, Bei, 2022. "A spatiotemporal analysis of the driving forces behind the energy interactions of the Chinese economy: Evidence from static and dynamic perspectives," Energy, Elsevier, vol. 239(PB).
    123. Linna Li, 2019. "Structure and influencing factors of CO2 emissions from transport sector in three major metropolitan regions of China: estimation and decomposition," Transportation, Springer, vol. 46(4), pages 1245-1269, August.
    124. Wang, Miao & Feng, Chao, 2020. "The impacts of technological gap and scale economy on the low-carbon development of China's industries: An extended decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    125. Kabata, Tshepelayi, 2011. "The US Agriculture Greenhouse Emissions and Environmental Performance," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103427, Agricultural and Applied Economics Association.
    126. Shiming Liao & Dong Wang & Ting Ren & Xuemin Liu, 2022. "Heterogeneity and Decomposition Analysis of Manufacturing Carbon Dioxide Emissions in China’s Post-Industrial Innovative Megacity Shenzhen," IJERPH, MDPI, vol. 19(23), pages 1-19, November.
    127. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    128. Feng Dong & Xinqi Gao & Jingyun Li & Yuanqing Zhang & Yajie Liu, 2018. "Drivers of China’s Industrial Carbon Emissions: Evidence from Joint PDA and LMDI Approaches," IJERPH, MDPI, vol. 15(12), pages 1-28, December.
    129. Wu, Haitao & Hao, Yu & Ren, Siyu & Yang, Xiaodong & Xie, Guo, 2021. "Does internet development improve green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 153(C).
    130. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2019. "Environmental efficiency measurement with heterogeneous input quality: A nonparametric analysis of U.S. power plants," Energy Economics, Elsevier, vol. 81(C), pages 610-625.

  129. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.

    Cited by:

    1. Li, J.S. & Xia, X.H. & Chen, G.Q. & Alsaedi, A. & Hayat, T., 2016. "Optimal embodied energy abatement strategy for Beijing economy: Based on a three-scale input-output analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1602-1610.
    2. Seifert, Stefan, 2015. "Productivity Growth and its Sources - A StoNED Metafrontier Analyis of the German Electricity Generating Sector," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112975, Verein für Socialpolitik / German Economic Association.
    3. Wu, Jie & Lv, Lin & Sun, Jiasen & Ji, Xiang, 2015. "A comprehensive analysis of China's regional energy saving and emission reduction efficiency: From production and treatment perspectives," Energy Policy, Elsevier, vol. 84(C), pages 166-176.
    4. Charles, Vincent & Kumar, Mukesh & Irene Kavitha, S., 2012. "Measuring the efficiency of assembled printed circuit boards with undesirable outputs using data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 136(1), pages 194-206.
    5. Ke Wang & Bin Lu & Yi-Ming Wei, 2014. "China's regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," CEEP-BIT Working Papers 61, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    6. A. Ruijs & M. Kortelainen & A. Wossink & C.J.E. Schulp & R. Alkemade & Paul Madden, 2012. "Opportunity cost estimation of ecosystem services," Economics Discussion Paper Series 1222, Economics, The University of Manchester.
    7. Tajbakhsh, Alireza & Hassini, Elkafi, 2018. "Evaluating sustainability performance in fossil-fuel power plants using a two-stage data envelopment analysis," Energy Economics, Elsevier, vol. 74(C), pages 154-178.
    8. Toloo, Mehdi & Hančlová, Jana, 2020. "Multi-valued measures in DEA in the presence of undesirable outputs," Omega, Elsevier, vol. 94(C).
    9. Khanjarpanah, Hossein & Jabbarzadeh, Armin, 2019. "Sustainable wind plant location optimization using fuzzy cross-efficiency data envelopment analysis," Energy, Elsevier, vol. 170(C), pages 1004-1018.
    10. Buus, Tomáš, 2017. "Energy efficiency and energy prices: A general mathematical framework," Energy, Elsevier, vol. 139(C), pages 743-754.
    11. Seufert, Juergen Heinz & Arjomandi, Amir & Dakpo, K. Hervé, 2017. "Evaluating airline operational performance: A Luenberger-Hicks-Moorsteen productivity indicator," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 52-68.
    12. Aigner, Lorenz & Asmild, Mette, 2023. "Identifying the most important set of weights when modelling bad outputs with the weak disposability approach," European Journal of Operational Research, Elsevier, vol. 310(2), pages 751-759.
    13. Sushama Murty & R. Robert Russell & Steven B. Levkoff, 2011. "On modeling pollution-generating technologies," Discussion Papers 1101, University of Exeter, Department of Economics.
    14. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    15. Bhat, Javed Ahmad & Haider, Salman & Kamaiah, Bandi, 2018. "Interstate energy efficiency of Indian paper industry: A slack-based non-parametric approach," Energy, Elsevier, vol. 161(C), pages 284-298.
    16. Brandão, Roberto & Tolmasquim, Maurício T. & Maestrini, Marcelo & Tavares, Arthur Felipe & Castro, Nivalde J. & Ozorio, Luiz & Chaves, Ana Carolina, 2021. "Determinants of the economic performance of Brazilian electricity distributors," Utilities Policy, Elsevier, vol. 68(C).
    17. Mohammadi, Ali & Rafiee, Shahin & Mohtasebi, Seyed Saeid & Mousavi Avval, Seyed Hashem & Rafiee, Hamed, 2011. "Energy efficiency improvement and input cost saving in kiwifruit production using Data Envelopment Analysis approach," Renewable Energy, Elsevier, vol. 36(9), pages 2573-2579.
    18. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
    19. Vlontzos, George & Niavis, Spyros & Manos, Basil, 2014. "A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 91-96.
    20. Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.
    21. Yigang Wei & Yan Li & Meiyu Wu & Yingbo Li, 2020. "Progressing sustainable development of “the Belt and Road countries”: Estimating environmental efficiency based on the Super‐slack‐based measure model," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 521-539, July.
    22. Yuanxin Peng & Zhuo Chen & Jay Lee, 2020. "Dynamic Convergence of Green Total Factor Productivity in Chinese Cities," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
    23. Massimo Filippini & Lester Hunt, 2009. "Energy demand and energy efficiency in the OECD countries: a stochastic demand frontier approach," CEPE Working paper series 09-68, CEPE Center for Energy Policy and Economics, ETH Zurich.
    24. Wu, Jie & Li, Mingjun & Zhu, Qingyuan & Zhou, Zhixiang & Liang, Liang, 2019. "Energy and environmental efficiency measurement of China's industrial sectors: A DEA model with non-homogeneous inputs and outputs," Energy Economics, Elsevier, vol. 78(C), pages 468-480.
    25. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    26. June Raymond Leonen Mariano & Mingyu Liao & Herchang Ay, 2021. "Performance Evaluation of Solar PV Power Plants in Taiwan Using Data Envelopment Analysis," Energies, MDPI, vol. 14(15), pages 1-14, July.
    27. Sueyoshi, Toshiyuki & Goto, Mika, 2010. "Should the US clean air act include CO2 emission control?: Examination by data envelopment analysis," Energy Policy, Elsevier, vol. 38(10), pages 5902-5911, October.
    28. Picazo-Tadeo, Andrés J. & Beltrán-Esteve, Mercedes & Gómez-Limón, José A., 2012. "Assessing eco-efficiency with directional distance functions," European Journal of Operational Research, Elsevier, vol. 220(3), pages 798-809.
    29. Mojtaba Ghiyasi & Farhad Taghizadeh-Hesary, 2021. "Environmental Efficiency Analysis for Multi Plants Production Technologies," Sustainability, MDPI, vol. 13(7), pages 1-18, April.
    30. Zhou, P. & Ang, B.W., 2008. "Linear programming models for measuring economy-wide energy efficiency performance," Energy Policy, Elsevier, vol. 36(8), pages 2901-2906, August.
    31. Sheng, Pengfei & Li, Jun & Zhai, Mengxin & Huang, Shoujun, 2020. "Coupling of economic growth and reduction in carbon emissions at the efficiency level: Evidence from China," Energy, Elsevier, vol. 213(C).
    32. Pestana Barros, Carlos & Sequeira Antunes, Olinda, 2011. "Performance assessment of Portuguese wind farms: Ownership and managerial efficiency," Energy Policy, Elsevier, vol. 39(6), pages 3055-3063, June.
    33. Thomas Grebel, 2019. "What a difference carbon leakage correction makes!," Journal of Evolutionary Economics, Springer, vol. 29(3), pages 939-971, July.
    34. Zhou, Guanghui & Chung, William & Zhang, Xiliang, 2013. "A study of carbon dioxide emissions performance of China's transport sector," Energy, Elsevier, vol. 50(C), pages 302-314.
    35. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    36. Ramanathan, Ramakrishnan & Ramanathan, Usha & Bentley, Yongmei, 2018. "The debate on flexibility of environmental regulations, innovation capabilities and financial performance – A novel use of DEA," Omega, Elsevier, vol. 75(C), pages 131-138.
    37. Ouyang, Xiaoling & Sun, Chuanwang, 2015. "Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency," Energy Economics, Elsevier, vol. 48(C), pages 117-126.
    38. Abad, Arnaud & Briec, Walter, 2019. "On the axiomatic of pollution-generating technologies: Non-parametric production analysis," European Journal of Operational Research, Elsevier, vol. 277(1), pages 377-390.
    39. Sarmento, Joaquim Miranda & Renneboog, Luc & Verga-Matos, Pedro, 2017. "Measuring highway efficiency : A DEA approach and the Malquist index," Other publications TiSEM 23264815-321e-45a3-83ee-9, Tilburg University, School of Economics and Management.
    40. Vilanova, Mateus Ricardo Nogueira & Magalhães Filho, Paulo & Balestieri, José Antônio Perrella, 2015. "Performance measurement and indicators for water supply management: Review and international cases," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1-12.
    41. Chen, Chien-Ming, 2013. "A critique of non-parametric efficiency analysis in energy economics studies," Energy Economics, Elsevier, vol. 38(C), pages 146-152.
    42. Li-Ting Yeh, 2017. "Incorporating Workplace Injury to Measure the Safety Performance of Industrial Sectors in Taiwan," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
    43. Ke Wang & Xueying Yu, 2017. "Industrial Energy and Environment Efficiency of Chinese Cities: An Analysis Based on Range-Adjusted Measure," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1023-1042, July.
    44. Arazmuradov, Annageldy, 2011. "Energy consumption and carbon dioxide environmental efficiency for former Soviet Union economies. evidence from DEA window analysis," MPRA Paper 36903, University Library of Munich, Germany, revised 24 Feb 2012.
    45. Stefan Seifert & Astrid Cullmann & Christian von Hirschhausen, 2014. "Technical Efficiency and CO2 Reduction Potentials: An Analysis of the German Electricity Generating Sector," Discussion Papers of DIW Berlin 1426, DIW Berlin, German Institute for Economic Research.
    46. Li‐Ting Yeh & Dong‐Shang Chang & Huei‐Min Li, 2022. "Developing a network data envelopment analysis model to measure the efficiency of banking with the governance, innovation, and operations," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2863-2874, October.
    47. Chang, Ming-Chung, 2014. "Energy intensity, target level of energy intensity, and room for improvement in energy intensity: An application to the study of regions in the EU," Energy Policy, Elsevier, vol. 67(C), pages 648-655.
    48. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    49. Zhou, P. & Ang, B.W. & Zhou, D.Q., 2012. "Measuring economy-wide energy efficiency performance: A parametric frontier approach," Applied Energy, Elsevier, vol. 90(1), pages 196-200.
    50. Roberto Gómez-Calvet & David Conesa & Ana Rosa Gómez-Calvet & Emili Tortosa-Ausina, 2013. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Working Papers 2013/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    51. Boyd, Gale A. & Lee, Jonathan M., 2019. "Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis," Energy Economics, Elsevier, vol. 81(C), pages 159-174.
    52. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "DEA approach for unified efficiency measurement: Assessment of Japanese fossil fuel power generation," Energy Economics, Elsevier, vol. 33(2), pages 292-303, March.
    53. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
    54. Cherchye, Laurens & Rock, Bram De & Walheer, Barnabé, 2015. "Multi-output efficiency with good and bad outputs," European Journal of Operational Research, Elsevier, vol. 240(3), pages 872-881.
    55. Noor Ramli & Susila Munisamy & Behrouz Arabi, 2013. "Scale directional distance function and its application to the measurement of eco-efficiency in the manufacturing sector," Annals of Operations Research, Springer, vol. 211(1), pages 381-398, December.
    56. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "Methodological comparison between two unified (operational and environmental) efficiency measurements for environmental assessment," European Journal of Operational Research, Elsevier, vol. 210(3), pages 684-693, May.
    57. Yang, Hongliang & Pollitt, Michael, 2010. "The necessity of distinguishing weak and strong disposability among undesirable outputs in DEA: Environmental performance of Chinese coal-fired power plants," Energy Policy, Elsevier, vol. 38(8), pages 4440-4444, August.
    58. Mohammad Mahdi Mousavi & Jamal Ouenniche & Kaoru Tone, 2023. "A dynamic performance evaluation of distress prediction models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 756-784, July.
    59. Bian, Yiwen & Yang, Feng, 2010. "Resource and environment efficiency analysis of provinces in China: A DEA approach based on Shannon's entropy," Energy Policy, Elsevier, vol. 38(4), pages 1909-1917, April.
    60. Qing Liu & Siew Hoon Lim, 2017. "Toxic air pollution and container port efficiency in the USA," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(1), pages 94-105, March.
    61. Seifert, Stefan & Cullmann, Astrid & von Hirschhausen, Christian, 2016. "Technical efficiency and CO2 reduction potentials — An analysis of the German electricity and heat generating sector," Energy Economics, Elsevier, vol. 56(C), pages 9-19.
    62. Laurens Cherchye & Bram De Rock & Antonio Estache & Barnabé Walheer, 2013. "Reducing Energy Use without Affecting the Economic Objectives: a Sectoral Analysis," Working Papers ECARES ECARES 2013-11, ULB -- Universite Libre de Bruxelles.
    63. Jian Chai & Wenyue Fan & Jing Han, 2019. "Does the Energy Efficiency of Power Companies Affect Their Industry Status? A DEA Analysis of Listed Companies in Thermal Power Sector," Sustainability, MDPI, vol. 12(1), pages 1-12, December.
    64. Chang-Tai Lee & Jin-Li Hu & Ming-Hsin Kung, 2022. "Economic Resilience in the Early Stage of the COVID-19 Pandemic: An Across-Economy Comparison," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
    65. Blomberg, Jerry & Henriksson, Eva & Lundmark, Robert, 2012. "Energy efficiency and policy in Swedish pulp and paper mills: A data envelopment analysis approach," Energy Policy, Elsevier, vol. 42(C), pages 569-579.
    66. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    67. Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Mahanty, Biswajit, 2018. "Examining the process of normalising the energy-efficiency targets for coal-based thermal power sector in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 342-352.
    68. Santosh Kumar, Sahu & K., Narayanan, 2011. "Energy Intensity and Firm Performance: Do Energy Clusters Matter?," MPRA Paper 43457, University Library of Munich, Germany.
    69. Daraio, Cinzia & Kerstens, Kristiaan & Nepomuceno, Thyago & Sickles, Robin C., 2019. "Empirical Surveys of Frontier Applications: A Meta-Review," Working Papers 19-005, Rice University, Department of Economics.
    70. Sueyoshi, Toshiyuki & Goto, Mika, 2013. "A comparative study among fossil fuel power plants in PJM and California ISO by DEA environmental assessment," Energy Economics, Elsevier, vol. 40(C), pages 130-145.
    71. Barros, C.P. & Wanke, Peter & Dumbo, Silvestre & Manso, Jose Pires, 2017. "Efficiency in angolan hydro-electric power station: A two-stage virtual frontier dynamic DEA and simplex regression approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 588-596.
    72. Cordero Ferrera, Jose Manuel & Alonso Morán, Edurne & Nuño Solís, Roberto & Orueta, Juan F. & Souto Arce, Regina, 2013. "Efficiency assessment of primary care providers: A conditional nonparametric approach," MPRA Paper 51926, University Library of Munich, Germany.
    73. Dakpo, K & Jeanneaux, Philippe & Latruffee, Laure, 2015. "Empirical comparison of pollution generating technologies in nonparametric modelling: The case of greenhouse gas emissions in French sheep meat farming," 2015 Conference, August 9-14, 2015, Milan, Italy 211557, International Association of Agricultural Economists.
    74. Ederer, Nikolaus, 2015. "Evaluating capital and operating cost efficiency of offshore wind farms: A DEA approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1034-1046.
    75. Walheer, Barnabé, 2019. "Aggregating Farrell efficiencies with private and public inputs," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1170-1177.
    76. Toshiyuki Sueyoshi & Yan Yuan & Aijun Li & Daoping Wang, 2017. "Social Sustainability of Provinces in China: A Data Envelopment Analysis (DEA) Window Analysis under the Concepts of Natural and Managerial Disposability," Sustainability, MDPI, vol. 9(11), pages 1-18, November.
    77. Atris, Amani Mohammed & Goto, Mika, 2019. "Vertical structure and efficiency assessment of the US oil and gas companies," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    78. Łukasz Brzezicki, 2020. "Przegląd badań dotyczących efektywności i produktywności polskiego szkolnictwa wyższego, prowadzonych za pomocą metody DEA i indeksu Malmquista," Post-Print hal-04414162, HAL.
    79. Chang, Dong-Shang & Yang, Fu-Chiang, 2011. "Assessing the power generation, pollution control, and overall efficiencies of municipal solid waste incinerators in Taiwan," Energy Policy, Elsevier, vol. 39(2), pages 651-663, February.
    80. Shen, Zhiyang & Boussemart, Jean-Philippe & Leleu, Hervé, 2017. "Aggregate green productivity growth in OECD’s countries," International Journal of Production Economics, Elsevier, vol. 189(C), pages 30-39.
    81. Cui, Qiang & Li, Ye, 2015. "An empirical study on the influencing factors of transportation carbon efficiency: Evidences from fifteen countries," Applied Energy, Elsevier, vol. 141(C), pages 209-217.
    82. Xiang Liu & Jia Liu, 2016. "Measurement of Low Carbon Economy Efficiency with a Three-Stage Data Envelopment Analysis: A Comparison of the Largest Twenty CO 2 Emitting Countries," IJERPH, MDPI, vol. 13(11), pages 1-14, November.
    83. Bian, Yiwen & Hu, Miao & Wang, Yousen & Xu, Hao, 2016. "Energy efficiency analysis of the economic system in China during 1986–2012: A parallel slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 990-998.
    84. Sushama Murty, 2015. "On the properties of an emission-generating technology and its parametric representation," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 60(2), pages 243-282, October.
    85. Sueyoshi, Toshiyuki & Goto, Mika, 2015. "DEA environmental assessment in time horizon: Radial approach for Malmquist index measurement on petroleum companies," Energy Economics, Elsevier, vol. 51(C), pages 329-345.
    86. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    87. Pombo, Carlos & Taborda, Rodrigo, 2006. "Performance and efficiency in Colombia's power distribution system: Effects of the 1994 reform," Energy Economics, Elsevier, vol. 28(3), pages 339-369, May.
    88. Chang, Ming-Chung, 2020. "An application of total-factor energy efficiency under the metafrontier framework," Energy Policy, Elsevier, vol. 142(C).
    89. Rácz, Viktor J. & Vestergaard, Niels, 2016. "Productivity and efficiency measurement of the Danish centralized biogas power sector," Renewable Energy, Elsevier, vol. 92(C), pages 397-404.
    90. Wang, Juan & Hu, Mingming & Tukker, Arnold & Rodrigues, João F.D., 2019. "The impact of regional convergence in energy-intensive industries on China's CO2 emissions and emission goals," Energy Economics, Elsevier, vol. 80(C), pages 512-523.
    91. Li, Ke & Lin, Boqiang, 2015. "The efficiency improvement potential for coal, oil and electricity in China's manufacturing sectors," Energy, Elsevier, vol. 86(C), pages 403-413.
    92. Zhang, Yue-Jun & Liang, Ting & Jin, Yan-Lin & Shen, Bo, 2020. "The impact of carbon trading on economic output and carbon emissions reduction in China’s industrial sectors," Applied Energy, Elsevier, vol. 260(C).
    93. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Returns to scale and damages to scale on U.S. fossil fuel power plants: Radial and non-radial approaches for DEA environmental assessment," Energy Economics, Elsevier, vol. 34(6), pages 2240-2259.
    94. Yanni Yu & Yongrok Choi, 2015. "Measuring Environmental Performance Under Regional Heterogeneity in China: A Metafrontier Efficiency Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 375-388, October.
    95. Yang, Zhenbing & Fan, Meiting & Shao, Shuai & Yang, Lili, 2017. "Does carbon intensity constraint policy improve industrial green production performance in China? A quasi-DID analysis," Energy Economics, Elsevier, vol. 68(C), pages 271-282.
    96. Mandal, Sabuj Kumar, 2010. "Do undesirable output and environmental regulation matter in energy efficiency analysis? Evidence from Indian Cement Industry," Energy Policy, Elsevier, vol. 38(10), pages 6076-6083, October.
    97. Decai Tang & Zhangming Shan & Junxia He & Ziqian Zhao, 2022. "How Do Environmental Regulations and Outward Foreign Direct Investment Impact the Green Total Factor Productivity in China? A Mediating Effect Test Based on Provincial Panel Data," IJERPH, MDPI, vol. 19(23), pages 1-32, November.
    98. Vaninsky, Alexander, 2010. "Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment – stochastic frontier analysis approach," Energy, Elsevier, vol. 35(9), pages 3657-3665.
    99. Ping Wang & Bangzhu Zhu & Xueping Tao & Rui Xie, 2017. "Measuring regional energy efficiencies in China: a meta-frontier SBM-Undesirable approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 793-809, January.
    100. Bang, You-Young & Lee, Dae Sung & Lim, Seong-Rin, 2019. "Analysis of corporate CO2 and energy cost efficiency: The role of performance indicators and effective environmental reporting," Energy Policy, Elsevier, vol. 133(C).
    101. Yavuz Selman DUMAN & Adnan KASMAN, 2017. "The Role of International Trade and Urbanization on Environmental Technical Efficiency in EU Member and Candidate Countries," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 17(4), pages 481-491.
    102. Patrick Gasser & Marco Cinelli & Anna Labijak & Matteo Spada & Peter Burgherr & Miłosz Kadziński & Božidar Stojadinović, 2020. "Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis," Energies, MDPI, vol. 13(7), pages 1-35, March.
    103. Shakouri G., H. & Aliakbarisani, S., 2016. "At what valuation of sustainability can we abandon fossil fuels? A comprehensive multistage decision support model for electricity planning," Energy, Elsevier, vol. 107(C), pages 60-77.
    104. Sueyoshi, Toshiyuki & Goto, Mika & Ueno, Takahiro, 2010. "Performance analysis of US coal-fired power plants by measuring three DEA efficiencies," Energy Policy, Elsevier, vol. 38(4), pages 1675-1688, April.
    105. Ching-Cheng Lu & Liang-Chun Lu, 2019. "Evaluating the energy efficiency of European Union countries: The dynamic data envelopment analysis," Energy & Environment, , vol. 30(1), pages 27-43, February.
    106. Christian Growitsch & Simon Paulus & Heike Wetzel, 2017. "Competition and Regulation as a Means of Reducing CO2 Emissions: Experience from U.S. Fossil Fuel Power Plants," MAGKS Papers on Economics 201709, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    107. Du, Kerui & Yu, Ying & Li, Jing, 2020. "Does international trade promote CO2 emission performance? An empirical analysis based on a partially linear functional-coefficient panel data model," Energy Economics, Elsevier, vol. 92(C).
    108. Cui, Qiang & Kuang, Hai-bo & Wu, Chun-you & Li, Ye, 2014. "The changing trend and influencing factors of energy efficiency: The case of nine countries," Energy, Elsevier, vol. 64(C), pages 1026-1034.
    109. Mamardashvili, Phatima & Jan, Pierrick, 2014. "Environmentally harmful by-products in efficiency analysis: An example of nitrogen surplus on Swiss dairy farms," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182962, European Association of Agricultural Economists.
    110. Massimo Filippini & Lester Hunt, 2012. "US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach," CEPE Working paper series 12-83, CEPE Center for Energy Policy and Economics, ETH Zurich.
    111. Feng, Chenpeng & Chu, Feng & Ding, Jingjing & Bi, Gongbing & Liang, Liang, 2015. "Carbon Emissions Abatement (CEA) allocation and compensation schemes based on DEA," Omega, Elsevier, vol. 53(C), pages 78-89.
    112. Dr. Sabah M. Al-Najjar & Mustafa A. Al-Jaybajy, 2012. "Application of Data Envelopment Analysis to Measure the Technical Efficiency of Oil Refineries: A Case Study," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 3(5), pages 64-77, September.
    113. Jean-Philippe Boussemart & Hervé Leleu & Zhiyang Shen & Vivian Valdmanis, 2020. "Performance analysis for three pillars of sustainability," Post-Print hal-03046676, HAL.
    114. Ackah, Ishmael, 2017. "Analysis OF Energy Efficiency Practices of SMEs in Ghana: An application of Product Generational Dematerialisation," MPRA Paper 77484, University Library of Munich, Germany.
    115. Özkara, Yücel & Atak, Mehmet, 2015. "Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey," Energy, Elsevier, vol. 93(P1), pages 495-510.
    116. Stéphane Blancard & Elsa Martin, 2012. "Energy efficiency measurement in agriculture with imprecise energy content information," INRA UMR CESAER Working Papers 2012/6, INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux.
    117. Yifei Zhang & Sheng Li & Fang Zhang, 2020. "Does an Emissions Trading Policy Improve Environmental Efficiency? Evidence from China," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    118. H. Leleu, 2013. "Shadow pricing of undesirable outputs in nonparametric analysis," Post-Print hal-00848044, HAL.
    119. Elvira Silva & Pedro Macedo & Isabel Soares, 2019. "Maximum entropy: a stochastic frontier approach for electricity distribution regulation," Journal of Regulatory Economics, Springer, vol. 55(3), pages 237-257, June.
    120. Li, Lan-Bing & Hu, Jin-Li, 2012. "Ecological total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 46(C), pages 216-224.
    121. Chen, Shiyi & Golley, Jane, 2014. "‘Green’ productivity growth in China's industrial economy," Energy Economics, Elsevier, vol. 44(C), pages 89-98.
    122. Yongyoon Suh & Hyeonju Seol & Hyerim Bae & Yongtae Park, 2014. "Eco-efficiency Based on Social Performance and its Relationship with Financial Performance," Journal of Industrial Ecology, Yale University, vol. 18(6), pages 909-919, December.
    123. Samuel De Alencar Bezerra & Francisco Jackson dos Santos & Plácido Rogerio Pinheiro & Fábio Rocha Barbosa, 2017. "Dynamic Evaluation of the Energy Efficiency of Environments in Brazilian University Classrooms Using DEA," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
    124. Li, Ming-Jia & Tao, Wen-Quan, 2017. "Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry," Applied Energy, Elsevier, vol. 187(C), pages 203-215.
    125. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Improving energy use efficiency of canola production using data envelopment analysis (DEA) approach," Energy, Elsevier, vol. 36(5), pages 2765-2772.
    126. Rapee PONGPANICH & Ke-Chung PENG & Kamonthip MAICHUM, 2017. "The performance measurement of listed companies of the agribusiness sector on the stock exchange of Thailand," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(5), pages 234-245.
    127. Apostolos Christopoulos & Ioannis Dokas & Sofia Katsimardou & Eleftherios Spyromitros, 2022. "The Malmquist Productivity measure for UK-listed firms in the aftermath of the global financial crisis," Operational Research, Springer, vol. 22(2), pages 1617-1634, April.
    128. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    129. Gilani, H. & Sahebi, H. & Oliveira, Fabricio, 2020. "Sustainable sugarcane-to-bioethanol supply chain network design: A robust possibilistic programming model," Applied Energy, Elsevier, vol. 278(C).
    130. Kao, Chiang & Hwang, Shiuh-Nan, 2023. "Separating the effect of undesirable outputs generation from the inefficiency of desirable outputs production in efficiency measurement," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1097-1102.
    131. Lin, Boqiang & Sai, Rockson, 2022. "Towards low carbon economy: Performance of electricity generation and emission reduction potential in Africa," Energy, Elsevier, vol. 251(C).
    132. Hampf, Benjamin, 2011. "Separating Environmental Efficiency into Production and Abatement Efficiency – A Nonparametric Model with Application to U.S. Power Plants," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 53901, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    133. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2014. "Optimal profits under environmental regulation: The benefits from emission intensity averaging," Darmstadt Discussion Papers in Economics 220, Darmstadt University of Technology, Department of Law and Economics.
    134. Gong, Shixin & Shao, Cheng & Zhu, Li, 2017. "Energy efficiency evaluation in ethylene production process with respect to operation classification," Energy, Elsevier, vol. 118(C), pages 1370-1379.
    135. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    136. Sueyoshi, Toshiyuki & Goto, Mika, 2010. "Measurement of a linkage among environmental, operational, and financial performance in Japanese manufacturing firms: A use of Data Envelopment Analysis with strong complementary slackness condition," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1742-1753, December.
    137. Xiao Gong & Jianing Mi & Chunyan Wei & Ruitao Yang, 2019. "Measuring Environmental and Economic Performance of Air Pollution Control for Province-Level Areas in China," IJERPH, MDPI, vol. 16(8), pages 1-19, April.
    138. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Returns to Scale, Damages to Scale, Marginal Rate of Transformation and Rate of Substitution in DEA Environmental Assessment," Energy Economics, Elsevier, vol. 34(4), pages 905-917.
    139. Benjamin Hampf, 2014. "Separating environmental efficiency into production and abatement efficiency: a nonparametric model with application to US power plants," Journal of Productivity Analysis, Springer, vol. 41(3), pages 457-473, June.
    140. Weiwei Zhang & Shengqiang Zhang & Lan Bo & Mahfuzul Haque & Enru Liu, 2023. "Does China’s Regional Digital Economy Promote the Development of a Green Economy?," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    141. Sahoo, Biresh K. & Luptacik, Mikulas & Mahlberg, Bernhard, 2011. "Alternative measures of environmental technology structure in DEA: An application," European Journal of Operational Research, Elsevier, vol. 215(3), pages 750-762, December.
    142. Sözen, Adnan & Alp, İhsan & Kilinc, Cuma, 2012. "Efficiency assessment of the hydro-power plants in Turkey by using Data Envelopment Analysis," Renewable Energy, Elsevier, vol. 46(C), pages 192-202.
    143. Zhang, Ning & Choi, Yongrok, 2013. "A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and Korea," Energy Policy, Elsevier, vol. 62(C), pages 324-332.
    144. Sueyoshi, Toshiyuki & Goto, Mika, 2013. "DEA environmental assessment in a time horizon: Malmquist index on fuel mix, electricity and CO2 of industrial nations," Energy Economics, Elsevier, vol. 40(C), pages 370-382.
    145. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    146. Surender Kumar & Rakesh Kumar Jain, 2020. "Cost of CO2 Emission Mitigation and its Decomposition: Evidence from Coal-fired Thermal Power Sector in India," Working papers 306, Centre for Development Economics, Delhi School of Economics.
    147. Fazıl Gökgöz & Ercem Erkul, 2014. "Energy Efficiency Analysis For The European Countries," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 8(1), pages 124-140.
    148. Wettemann, Patrick Johannes Christopher & Latacz-Lohmann, Uwe, 2017. "An efficiency-based concept to assess potential cost and greenhouse gas savings on German dairy farms," Agricultural Systems, Elsevier, vol. 152(C), pages 27-37.
    149. Falavigna, G. & Ippoliti, R., 2020. "The socio-economic planning of a community nurses programme in mountain areas: A Directional Distance Function approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    150. Laurens Cherchye & Bram De Rock & Barnabé Walheer, 2013. "Efficiency Analysis in the Presence of Bad Outputs," Working Papers ECARES ECARES 2013-12, ULB -- Universite Libre de Bruxelles.
    151. Zhi-Fu Mi & Yi-Ming Wei & Chen-Qi He & Hua-Nan Li & Xiao-Chen Yuan & Hua Liao, 2017. "Regional efforts to mitigate climate change in China: a multi-criteria assessment approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(1), pages 45-66, January.
    152. Brännlund, Runar & Lundgren, Tommy & Marklund, Per-Olov, 2014. "Carbon intensity in production and the effects of climate policy—Evidence from Swedish industry," Energy Policy, Elsevier, vol. 67(C), pages 844-857.
    153. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    154. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2016. "Environmental investment and firm performance: A network approach," Energy Economics, Elsevier, vol. 57(C), pages 243-255.
    155. Dimitri Dimitropoulos and Adonis Yatchew, 2017. "Is Productivity Growth in Electricity Distribution Negative? An Empirical Analysis Using Ontario Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    156. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Weak and strong disposability vs. natural and managerial disposability in DEA environmental assessment: Comparison between Japanese electric power industry and manufacturing industries," Energy Economics, Elsevier, vol. 34(3), pages 686-699.
    157. Mariam Camarero & Juana Castillo & Andrés J. Picazo-Tadeo & Cecilio Tamarit, 2011. "Eco-efficiency and convergence in OECD countries," Working Papers 1116, Department of Applied Economics II, Universidad de Valencia.
    158. Zhang, Ning & Kong, Fanbin & Choi, Yongrok, 2014. "Measuring sustainability performance for China: A sequential generalized directional distance function approach," Economic Modelling, Elsevier, vol. 41(C), pages 392-397.
    159. Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
    160. Zhao, Jin & Patwary, Ataul Karim & Qayyum, Abdul & Alharthi, Majed & Bashir, Furrukh & Mohsin, Muhammad & Hanif, Imran & Abbas, Qaiser, 2022. "The determinants of renewable energy sources for the fueling of green and sustainable economy," Energy, Elsevier, vol. 238(PC).
    161. Fujii, Hidemichi & Kaneko, Shinji & Managi, Shunsuke, 2010. "Changes in environmentally sensitive productivity and technological modernization in China's iron and steel industry in the 1990s," Environment and Development Economics, Cambridge University Press, vol. 15(4), pages 485-504, August.
    162. Bian, Yiwen & He, Ping & Xu, Hao, 2013. "Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach," Energy Policy, Elsevier, vol. 63(C), pages 962-971.
    163. Dan Wu & Ching-Cheng Lu & Xiang Chen & Pei-Chieh Tu & An-Chi Yang & Chih-Yu Yang, 2021. "Evaluating the Dynamic Energy Production Efficiency in APEC Economies," Energies, MDPI, vol. 14(14), pages 1-20, July.
    164. Wu, F. & Wang, S.Y. & Zhou, P., 2023. "Marginal abatement cost of carbon dioxide emissions: The role of abatement options," European Journal of Operational Research, Elsevier, vol. 310(2), pages 891-901.
    165. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "DEA radial measurement for environmental assessment and planning: Desirable procedures to evaluate fossil fuel power plants," Energy Policy, Elsevier, vol. 41(C), pages 422-432.
    166. Andreas, Eder & Bernhard, Mahlberg & Bernhard, Stürmer, 2017. "Measuring and explaining productivity growth of renewable energy producers: An empirical study of Austrian biogas plants," MPRA Paper 79826, University Library of Munich, Germany.
    167. Blancard, Stephane & Martin, Elsa, 2012. "The measurement of energy performance," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 135123, Agricultural Economics Society.
    168. Hongli Liu & Xiaoyu Yan & Jinhua Cheng & Jun Zhang & Yan Bu, 2021. "Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry," Energies, MDPI, vol. 14(14), pages 1-21, July.
    169. Wanke, Peter & Azad, Abul Kalam & Emrouznejad, Ali, 2018. "Efficiency in BRICS banking under data vagueness: A two-stage fuzzy approach," Global Finance Journal, Elsevier, vol. 35(C), pages 58-71.
    170. Juan-Javier MORENO-MORENO & Francisco VELASCO MORENTE & Maria Teresa SANZ DIAZ, 2018. "Assessment of the operational and environmental efficiency of agriculture in Latin America and the Caribbean," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(2), pages 74-88.
    171. Rongrong Liu & Dong Chen & Suchang Yang & Yang Chen, 2021. "Evaluation of Green Development Efficiency of the Major Cities in Gansu Province, China," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    172. Kounetas, Konstantinos & Mourtos, Ioannis & Tsekouras, Konstantinos, 2009. "Efficiency decompositions for heterogeneous technologies," European Journal of Operational Research, Elsevier, vol. 199(1), pages 209-218, November.
    173. Murty, Sushama & Robert Russell, R. & Levkoff, Steven B., 2012. "On modeling pollution-generating technologies," Journal of Environmental Economics and Management, Elsevier, vol. 64(1), pages 117-135.
    174. Sueyoshi, Toshiyuki & Goto, Mika & Sugiyama, Manabu, 2013. "DEA window analysis for environmental assessment in a dynamic time shift: Performance assessment of U.S. coal-fired power plants," Energy Economics, Elsevier, vol. 40(C), pages 845-857.
    175. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Returns to Scale and Damages to Scale with Strong Complementary Slackness Conditions in DEA Assessment: Japanese Corporate Effort on Environment Protection," Energy Economics, Elsevier, vol. 34(5), pages 1422-1434.
    176. Darold Barnum & John Gleason, 2011. "Measuring efficiency under fixed proportion technologies," Journal of Productivity Analysis, Springer, vol. 35(3), pages 243-262, June.
    177. Yuyu Liu & Caizhi Sun & Shiguo Xu, 2013. "Eco-Efficiency Assessment of Water Systems in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(14), pages 4927-4939, November.
    178. Du, Limin & Mao, Jie, 2015. "Estimating the environmental efficiency and marginal CO2 abatement cost of coal-fired power plants in China," Energy Policy, Elsevier, vol. 85(C), pages 347-356.
    179. Welch, Eric & Barnum, Darold, 2009. "Joint environmental and cost efficiency analysis of electricity generation," Ecological Economics, Elsevier, vol. 68(8-9), pages 2336-2343, June.
    180. Yan, Huijie, 2015. "Provincial energy intensity in China: The role of urbanization," Energy Policy, Elsevier, vol. 86(C), pages 635-650.
    181. Magdalena Cyrek & Barbara Fura, 2019. "Employment for Sustainable Development: Sectoral Efficiencies in EU Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 277-318, May.
    182. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach," Applied Energy, Elsevier, vol. 88(11), pages 3765-3772.
    183. Li, Ke & Lin, Boqiang, 2015. "The improvement gap in energy intensity: Analysis of China's thirty provincial regions using the improved DEA (data envelopment analysis) model," Energy, Elsevier, vol. 84(C), pages 589-599.
    184. Shi, Guang-Ming & Bi, Jun & Wang, Jin-Nan, 2010. "Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs," Energy Policy, Elsevier, vol. 38(10), pages 6172-6179, October.
    185. Ke Wang & Yujiao Xian & Yi-Ming Wei & Zhimin Huang, 2016. "Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function," CEEP-BIT Working Papers 91, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    186. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    187. Ke-Liang Wang & Li-Li Ding & Jian-Min Wang & Mian Yang, 2020. "Analysis of provincial total-factor air pollution efficiency in China by using context-dependent slacks-based measure considering undesirable outputs," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1899-1921, November.
    188. Duman, Yavuz Selman & Kasman, Adnan, 2018. "Environmental technical efficiency in EU member and candidate countries: A parametric hyperbolic distance function approach," Energy, Elsevier, vol. 147(C), pages 297-307.
    189. Zhong, Shen & Li, Junwei & Chen, Xi & Wen, Hongmei, 2022. "A multi-hierarchy meta-frontier approach for measuring green total factor productivity: An application of pig breeding in China," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    190. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "DEA environmental assessment of coal fired power plants: Methodological comparison between radial and non-radial models," Energy Economics, Elsevier, vol. 34(6), pages 1854-1863.
    191. Xia, Fan & Xu, Jintao, 2020. "Green total factor productivity: A re-examination of quality of growth for provinces in China," China Economic Review, Elsevier, vol. 62(C).
    192. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    193. Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.
    194. Halkos, George & Tzeremes, Nickolaos, 2013. "An additive two-stage DEA approach creating sustainability efficiency indexes," MPRA Paper 44231, University Library of Munich, Germany.
    195. Grebel, Thomas & Islam, Rohidul, 2022. "Endogenous cap reduction in Emission Trading Systems," Ilmenau Economics Discussion Papers 169, Ilmenau University of Technology, Institute of Economics.
    196. Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.
    197. Streimikis, Justas & Yu, Zhiqian & Zhu, Ning & Baležentis, Tomas, 2022. "Achievements of the European Union member states toward the development of sustainable agriculture: A contribution to the structural efficiency approach," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    198. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Environmental assessment by DEA radial measurement: U.S. coal-fired power plants in ISO (Independent System Operator) and RTO (Regional Transmission Organization)," Energy Economics, Elsevier, vol. 34(3), pages 663-676.
    199. Stefan Seifert, 2015. "Measuring Productivity When Technologies Are Heterogeneous: A Semi-Parametric Approach for Electricity Generation," Discussion Papers of DIW Berlin 1526, DIW Berlin, German Institute for Economic Research.
    200. Chiang Kao & Shiuh-Nan Hwang, 2019. "Efficiency evaluation in the presence of undesirable outputs: the most favorable shadow price approach," Annals of Operations Research, Springer, vol. 278(1), pages 5-16, July.
    201. Perry Sadorsky, 2021. "Eco-Efficiency for the G18: Trends and Future Outlook," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    202. Ana Claudia Sant'Anna & Jason S. Bergtold & Aleksan Shanoyan & Gabriel Granco & Marcellus M. Caldas, 2018. "Examining the relationship between vertical coordination strategies and technical efficiency: Evidence from the Brazilian ethanol industry," Agribusiness, John Wiley & Sons, Ltd., vol. 34(4), pages 793-812, October.
    203. Zhang, Zibin & Ye, Jianliang, 2015. "Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China," Energy Economics, Elsevier, vol. 47(C), pages 87-97.
    204. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    205. Fang, Lei, 2015. "Congestion measurement in nonparametric analysis under the weakly disposable technology," European Journal of Operational Research, Elsevier, vol. 245(1), pages 203-208.
    206. Tajudeen, Ibrahim A., 2021. "The underlying drivers of economy-wide energy efficiency and asymmetric energy price responses," Energy Economics, Elsevier, vol. 98(C).
    207. George Halkos & George Papageorgiou, 2014. "Spatial environmental efficiency indicators in regional waste generation: A nonparametric approach," DEOS Working Papers 1401, Athens University of Economics and Business.
    208. Corrado Lo Storto, 2018. "Efficiency, Conflicting Goals and Trade-Offs: A Nonparametric Analysis of the Water and Wastewater Service Industry in Italy," Sustainability, MDPI, vol. 10(4), pages 1-22, March.
    209. Sant'Anna, Ana Claudia & Bergtold, Jason & Featherstone, Allen & Caldas, Marcellus & Granco, Gabriel, 2017. "Does Vertical Integration Increase Efficiency? A Look at Ethanol Plants in the Center-South of Brazil," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252777, Southern Agricultural Economics Association.
    210. Napolitano, Oreste & Foresti, Pasquale & Kounetas, Konstantinos & Spagnolo, Nicola, 2023. "The impact of energy, renewable and CO2 emissions efficiency on countries’ productivity," Energy Economics, Elsevier, vol. 125(C).
    211. Hang Xiong, 2012. "Effects of One-Sided Fiscal Decentralization on Environmental Efficiency of Chinese Provinces," Working Papers halshs-00672450, HAL.
    212. Hang XIONG, 2012. "Effects of One-Sided Fiscal Decentralization on Environmental Efficiency of Chinese Provinces," Working Papers 201208, CERDI.
    213. Ning Zhang & Jong-Dae Kim, 2014. "Measuring sustainability by Energy Efficiency Analysis for Korean Power Companies: A Sequential Slacks-Based Efficiency Measure," Sustainability, MDPI, vol. 6(3), pages 1-13, March.
    214. Bampatsou, Christina & Halkos, George, 2019. "Economic growth, efficiency and environmental elasticity for the G7 countries," Energy Policy, Elsevier, vol. 130(C), pages 355-360.
    215. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    216. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis," Energy Economics, Elsevier, vol. 48(C), pages 217-229.
    217. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    218. Onat, Nuri C. & Noori, Mehdi & Kucukvar, Murat & Zhao, Yang & Tatari, Omer & Chester, Mikhail, 2017. "Exploring the suitability of electric vehicles in the United States," Energy, Elsevier, vol. 121(C), pages 631-642.
    219. Jie Wu & Beibei Xiong & Qingxian An & Jiasen Sun & Huaqing Wu, 2017. "Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs," Annals of Operations Research, Springer, vol. 255(1), pages 257-276, August.
    220. Xie, Bai-Chen & Gao, Jie & Zhang, Shuang & Zhang, ZhongXiang, 2017. "What Factors Affect the Competiveness of Power Generation Sector in China? An Analysis Based on Game Cross-efficiency," MITP: Mitigation, Innovation and Transformation Pathways 254042, Fondazione Eni Enrico Mattei (FEEM).
    221. Bonfiglio, Andrea & Arzeni, Andrea & Bodini, Antonella, 2017. "Assessing eco-efficiency of arable farms in rural areas," Agricultural Systems, Elsevier, vol. 151(C), pages 114-125.
    222. Liao, Huchang & Tang, Ming & Li, Zongmin & Lev, Benjamin, 2019. "Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on Essential Science Indicators," Omega, Elsevier, vol. 88(C), pages 223-236.
    223. Jin-Li Hu & Tien-Yu Chang, 2023. "Energy Resilience: A Cross-Economy Comparison," Energies, MDPI, vol. 16(5), pages 1-21, February.
    224. Wen-Chi Yang & Wen-Min Lu & Alagu Perumal Ramasamy, 2021. "International Environmental Efficiency Trends and the Impact of the Paris Agreement," Energies, MDPI, vol. 14(15), pages 1-16, July.
    225. Mekaroonreung, Maethee & Johnson, Andrew L., 2012. "Estimating the shadow prices of SO2 and NOx for U.S. coal power plants: A convex nonparametric least squares approach," Energy Economics, Elsevier, vol. 34(3), pages 723-732.
    226. Feng, Chao & Wang, Miao, 2017. "The economy-wide energy efficiency in China’s regional building industry," Energy, Elsevier, vol. 141(C), pages 1869-1879.
    227. Feng, Chao & Huang, Jian-Bai & Wang, Miao, 2018. "Analysis of green total-factor productivity in China's regional metal industry: A meta-frontier approach," Resources Policy, Elsevier, vol. 58(C), pages 219-229.
    228. Kiani Mavi, Reza & Saen, Reza Farzipoor & Goh, Mark, 2019. "Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: A big data approach," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 553-562.
    229. Sabuj Kumar Mandal & S Madheswaran, 2009. "Measuring Energy Use Efficiency in Presence of Undesirable Output: An Application of Data Envelopment Analysis (DEA) to Indian Cement Industry," Working Papers 235, Institute for Social and Economic Change, Bangalore.
    230. Kangjuan Lv & Anyu Yu & Yiwen Bian, 2017. "Regional energy efficiency and its determinants in China during 2001–2010: a slacks-based measure and spatial econometric analysis," Journal of Productivity Analysis, Springer, vol. 47(1), pages 65-81, February.
    231. Perroni, Marcos G. & Gouvea da Costa, Sergio E. & Pinheiro de Lima, Edson & Vieira da Silva, Wesley, 2017. "The relationship between enterprise efficiency in resource use and energy efficiency practices adoption," International Journal of Production Economics, Elsevier, vol. 190(C), pages 108-119.
    232. Reema Gh. Alajmi, 2024. "Total-Factor Energy Efficiency (TFEE) and CO 2 Emissions for GCC Countries," Sustainability, MDPI, vol. 16(2), pages 1-14, January.
    233. Djula Borozan & Luka Borozan, 2018. "Analyzing total-factor energy efficiency in Croatian counties: evidence from a non-parametric approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(3), pages 673-694, September.
    234. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "DEA radial measurement for environmental assessment: A comparative study between Japanese chemical and pharmaceutical firms," Applied Energy, Elsevier, vol. 115(C), pages 502-513.
    235. Wei, Chu & Löschel, Andreas & Liu, Bing, 2015. "Energy-saving and emission-abatement potential of Chinese coal-fired power enterprise: A non-parametric analysis," Energy Economics, Elsevier, vol. 49(C), pages 33-43.
    236. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    237. Ramli, Noor Asiah & Munisamy, Susila, 2015. "Eco-efficiency in greenhouse emissions among manufacturing industries: A range adjusted measure," Economic Modelling, Elsevier, vol. 47(C), pages 219-227.
    238. Duan, Na & Guo, Jun-Peng & Xie, Bai-Chen, 2016. "Is there a difference between the energy and CO2 emission performance for China’s thermal power industry? A bootstrapped directional distance function approach," Applied Energy, Elsevier, vol. 162(C), pages 1552-1563.
    239. Tianqi Wang & Lijun Huang, 2018. "An Empirical Study on the Relationship between Agricultural Science and Technology Input and Agricultural Economic Growth Based on E-Commerce Model," Sustainability, MDPI, vol. 10(12), pages 1-12, November.
    240. Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Sahoo, Biresh K. & Mahanty, Biswajit, 2017. "Rationality of energy efficiency improvement targets under the PAT scheme in India – A case of thermal power plants," Energy Economics, Elsevier, vol. 66(C), pages 279-289.
    241. Shiu-Wan Hung & Mei-Chun Liu, 2010. "Exploring the operating efficiency of semiconductor industry by a sustainable development approach," International Journal of Green Economics, Inderscience Enterprises Ltd, vol. 4(2), pages 145-155.
    242. Sushama Murty & R. Robert Russell, "undated". "Bad Outputs," Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi Discussion Papers 17-06, Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi, India.
    243. Asima Ihsan & Bilal Mehmood, 2016. "Relative Efficiencies of Public Parks in Three Cities of Punjab," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 4(1), pages 9-24, January.
    244. Shixiong Cheng & Jiahui Xie & De Xiao & Yun Zhang, 2019. "Measuring the Environmental Efficiency and Technology Gap of PM 2.5 in China’s Ten City Groups: An Empirical Analysis Using the EBM Meta-Frontier Model," IJERPH, MDPI, vol. 16(4), pages 1-22, February.
    245. Ding, Li-Li & Lei, Liang & Zhao, Xin & Calin, Adrian Cantemir, 2020. "Modelling energy and carbon emission performance: A constrained performance index measure," Energy, Elsevier, vol. 197(C).
    246. Qingyou Yan & Xu Wang & Tomas Baležentis & Dalia Streimikiene, 2018. "Energy–economy–environmental (3E) performance of Chinese regions based on the data envelopment analysis model with mixed assumptions on disposability," Energy & Environment, , vol. 29(5), pages 664-684, August.
    247. Song, Lianlian & Fu, Yelin & Zhou, Peng & Lai, Kin Keung, 2017. "Measuring national energy performance via Energy Trilemma Index: A Stochastic Multicriteria Acceptability Analysis," Energy Economics, Elsevier, vol. 66(C), pages 313-319.
    248. Falavigna, Greta & Ippoliti, Roberto & Manello, Alessandro & Ramello, Giovanni B., 2015. "Judicial productivity, delay and efficiency: A Directional Distance Function (DDF) approach," European Journal of Operational Research, Elsevier, vol. 240(2), pages 592-601.
    249. Ippoliti, Roberto & Falavigna, Greta, 2012. "Efficiency of the medical care industry: Evidence from the Italian regional system," European Journal of Operational Research, Elsevier, vol. 217(3), pages 643-652.
    250. Hampf, Benjamin, 2017. "Rational inefficiency, adjustment costs and sequential technologies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1095-1108.
    251. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    252. Tamara Rudinskaya & Zdeňka Náglová, 2021. "Analysis of Consumption of Nitrogen Fertilisers and Environmental Efficiency in Crop Production of EU Countries," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    253. Rolfe, John & Windle, Jill & McCosker, Kevin & Northey, Adam, 2018. "Assessing cost-effectiveness when environmental benefits are bundled: agricultural water management in Great Barrier Reef catchments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(3), July.
    254. Benjamin Hampf & Kenneth Løvold Rødseth, 2017. "Optimal profits under environmental regulation: the benefits from emission intensity averaging," Annals of Operations Research, Springer, vol. 255(1), pages 367-390, August.
    255. Blokhuis, Erik & Advokaat, Bart & Schaefer, Wim, 2012. "Assessing the performance of Dutch local energy companies," Energy Policy, Elsevier, vol. 45(C), pages 680-690.
    256. Sueyoshi, Toshiyuki & Goto, Mika, 2015. "Environmental assessment on coal-fired power plants in U.S. north-east region by DEA non-radial measurement," Energy Economics, Elsevier, vol. 50(C), pages 125-139.
    257. Hampf, Benjamin, 2011. "Separating environmental efficiency into production and abatement efficiency: A nonparametric model with application to U.S. power plants," Darmstadt Discussion Papers in Economics 204, Darmstadt University of Technology, Department of Law and Economics.
    258. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    259. Lin, Boqiang & Chen, Yu, 2020. "Will land transport infrastructure affect the energy and carbon dioxide emissions performance of China’s manufacturing industry?," Applied Energy, Elsevier, vol. 260(C).
    260. Kao, Chiang & Hwang, Shiuh-Nan, 2021. "Measuring the effects of undesirable outputs on the efficiency of production units," European Journal of Operational Research, Elsevier, vol. 292(3), pages 996-1003.
    261. Dakpo, K Hervé, 2016. "On modeling pollution-generating technologies: a new formulation of the by-production approach," Working Papers 245191, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    262. John Rolfe & Jill Windle & Kevin McCosker & Adam Northey, 2018. "Assessing cost‐effectiveness when environmental benefits are bundled: agricultural water management in Great Barrier Reef catchments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(3), pages 373-393, July.
    263. Li, Ke & Lin, Boqiang, 2015. "Measuring green productivity growth of Chinese industrial sectors during 1998–2011," China Economic Review, Elsevier, vol. 36(C), pages 279-295.
    264. Sueyoshi, Toshiyuki & Goto, Mika, 2015. "Japanese fuel mix strategy after disaster of Fukushima Daiichi nuclear power plant: Lessons from international comparison among industrial nations measured by DEA environmental assessment in time hori," Energy Economics, Elsevier, vol. 52(PA), pages 87-103.
    265. Barnabé Walheer, 2020. "Output, input, and undesirable output interconnections in data envelopment analysis: convexity and returns-to-scale," Annals of Operations Research, Springer, vol. 284(1), pages 447-467, January.
    266. Feng, Mingxiang & Shaw, Shih-Lung & Peng, Guojun & Fang, Zhixiang, 2020. "Time efficiency assessment of ship movements in maritime ports: A case study of two ports based on AIS data," Journal of Transport Geography, Elsevier, vol. 86(C).
    267. Lim, Seong-Rin & Schoenung, Julie M., 2011. "Measurement and analysis of product energy efficiency to assist energy star criteria development: An example for desktop computers," Energy Policy, Elsevier, vol. 39(12), pages 8003-8010.
    268. Yagi, Michiyuki & Managi, Shunsuke, 2018. "Shadow price of patent stock as knowledge stock: Time and country heterogeneity," Economic Analysis and Policy, Elsevier, vol. 60(C), pages 43-61.
    269. Hampf, Benjamin, 2016. "Rational Inefficiency, Adjustment Costs and Sequential Technologies," VfS Annual Conference 2016 (Augsburg): Demographic Change 145796, Verein für Socialpolitik / German Economic Association.
    270. Wenxuan Ma, 2022. "Exploring the Role of Educational Human Capital and Green Finance in Total-Factor Energy Efficiency in the Context of Sustainable Development," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    271. Apostolos G. Christopoulos & Ioannis G. Dokas & Sofia Katsimardou & Konstantinos Vlachogiannatos, 2016. "Investigation of the relative efficiency for the Greek listed firms of the construction sector based on two DEA approaches for the period 2006–2012," Operational Research, Springer, vol. 16(3), pages 423-444, October.
    272. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    273. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    274. Ormerod, Richard J. & Ulrich, Werner, 2013. "Operational research and ethics: A literature review," European Journal of Operational Research, Elsevier, vol. 228(2), pages 291-307.
    275. Lin, Boqiang & Sai, Rockson, 2021. "A multi factor Malmquist CO2emission performance indices: Evidence from Sub Saharan African public thermal power plants," Energy, Elsevier, vol. 223(C).
    276. Zhou, D.Q. & Wu, F. & Zhou, X. & Zhou, P., 2016. "Output-specific energy efficiency assessment: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 177(C), pages 117-126.
    277. Li, Wanghong & Li, Zhepeng & Liang, Liang & Cook, Wade D., 2017. "Evaluation of ecological systems and the recycling of undesirable outputs: An efficiency study of regions in China," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 77-86.
    278. Yang, Zhenbing & Shao, Shuai & Yang, Lili & Liu, Jianghua, 2017. "Differentiated effects of diversified technological sources on energy-saving technological progress: Empirical evidence from China's industrial sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1379-1388.
    279. Jianglong Li & Boqiang Lin, 2016. "Green Economy Performance and Green Productivity Growth in China’s Cities: Measures and Policy Implication," Sustainability, MDPI, vol. 8(9), pages 1-21, September.
    280. Jeanneaux, Philippe & Latruffe, Laure, 2016. "Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric frameworkAuthor-Name: Dakpo, K. Hervé," European Journal of Operational Research, Elsevier, vol. 250(2), pages 347-359.
    281. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations," Energy Policy, Elsevier, vol. 108(C), pages 163-177.
    282. Zhiyang Shen & Jean-Philippe Boussemart & Hervé Leleu, 2016. "Worldwide carbon shadow prices during 1990–2011," Working Papers 2016-EQM-04, IESEG School of Management.
    283. Corrado Lo Storto, 2016. "Ecological Efficiency Based Ranking of Cities: A Combined DEA Cross-Efficiency and Shannon’s Entropy Method," Sustainability, MDPI, vol. 8(2), pages 1-29, January.
    284. Afzalinejad, Mohammad, 2020. "Reverse efficiency measures for environmental assessment in data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    285. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "Investment strategy for sustainable society by development of regional economies and prevention of industrial pollutions in Japanese manufacturing sectors," Energy Economics, Elsevier, vol. 42(C), pages 299-312.
    286. Du, Kerui & Xie, Chunping & Ouyang, Xiaoling, 2017. "A comparison of carbon dioxide (CO2) emission trends among provinces in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 19-25.
    287. Lin, Boqiang & Sai, Rockson, 2022. "Sustainable transitioning in Africa: A historical evaluation of energy productivity changes and determinants," Energy, Elsevier, vol. 250(C).
    288. Fan Zhang & Gui Jin & Junlong Li & Chao Wang & Ning Xu, 2020. "Study on Dynamic Total Factor Carbon Emission Efficiency in China’s Urban Agglomerations," Sustainability, MDPI, vol. 12(7), pages 1-17, March.
    289. Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
    290. Liang, Liang & Cook, Wade D. & Zhu, Joe, 2016. "DEA models for non-homogeneous DMUs with different input configurationsAuthor-Name: Li, WangHong," European Journal of Operational Research, Elsevier, vol. 254(3), pages 946-956.
    291. Bretholt, Abraham & Pan, Jeh-Nan, 2013. "Evolving the latent variable model as an environmental DEA technology," Omega, Elsevier, vol. 41(2), pages 315-325.
    292. Wang, Jieyu & Wang, Shaojian & Li, Shijie & Feng, Kuishuang, 2019. "Coupling analysis of urbanization and energy-environment efficiency: Evidence from Guangdong province," Applied Energy, Elsevier, vol. 254(C).
    293. Honma, Satoshi & Ushifusa, Yoshiaki & Okamura, Soyoka & Vandercamme, Lilu, 2023. "Measuring carbon emissions performance of Japan's metal industry: Energy inputs, agglomeration, and the potential for green recovery reduction," Resources Policy, Elsevier, vol. 82(C).
    294. Cui, Qiang & Li, Ye, 2015. "Evaluating energy efficiency for airlines: An application of VFB-DEA," Journal of Air Transport Management, Elsevier, vol. 44, pages 34-41.
    295. Ilton Leal & Pauli Almada Garcia & Márcio Almeida D’Agosto, 2012. "A data envelopment analysis approach to choose transport modes based on eco-efficiency," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 14(5), pages 767-781, October.
    296. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2020. "A spatial stochastic frontier model with endogenous frontier and environmental variables," European Journal of Operational Research, Elsevier, vol. 286(1), pages 389-399.
    297. Kounetas, Konstantinos & Stergiou, Eirini, 2019. "Technology heterogeneity in European industries' energy efficiency performance. The role of climate, greenhouse gases, path dependence and energy mix," MPRA Paper 92314, University Library of Munich, Germany.
    298. Kim, Kyung-Taek & Lee, Deok Joo & Park, Sung-Joon & Zhang, Yanshuai & Sultanov, Azamat, 2015. "Measuring the efficiency of the investment for renewable energy in Korea using data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 694-702.
    299. Yiwen Bian & Kangjuan Lv & Anyu Yu, 2017. "China’s regional energy and carbon dioxide emissions efficiency evaluation with the presence of recovery energy: an interval slacks-based measure approach," Annals of Operations Research, Springer, vol. 255(1), pages 301-321, August.
    300. Arjomandi, Amir & Seufert, Juergen Heinz, 2014. "An evaluation of the world's major airlines' technical and environmental performance," Economic Modelling, Elsevier, vol. 41(C), pages 133-144.
    301. Gennitsaris, Stavros & Sagani, Angeliki & Sofianopoulou, Stella & Dedoussis, Vassilis, 2023. "Integrated LCA and DEA approach for circular economy-driven performance evaluation of wind turbine end-of-life treatment options," Applied Energy, Elsevier, vol. 339(C).
    302. Li, Mingquan & Wang, Qi, 2014. "International environmental efficiency differences and their determinants," Energy, Elsevier, vol. 78(C), pages 411-420.
    303. Xin-gang, Zhao & Zhen, Wei, 2019. "The technical efficiency of China's wind power list enterprises: An estimation based on DEA method and micro-data," Renewable Energy, Elsevier, vol. 133(C), pages 470-479.
    304. Jun-Der Leu & Wen-Hsien Tsai & Mei-Niang Fan & Sophia Chuang, 2020. "Benchmarking Sustainable Manufacturing: A DEA-Based Method and Application," Energies, MDPI, vol. 13(22), pages 1-21, November.
    305. Roth, Jonathan & Rajagopal, Ram, 2018. "Benchmarking building energy efficiency using quantile regression," Energy, Elsevier, vol. 152(C), pages 866-876.
    306. Alessandro Fiorini, 2016. "Technical efficiency in a technological innovation system perspective: The case of bioenergy technologies R&D resources mobilisation in a sample from EU-28," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2016(2), pages 107-127.
    307. Akbari, Negar & Jones, Dylan & Treloar, Richard, 2020. "A cross-European efficiency assessment of offshore wind farms: A DEA approach," Renewable Energy, Elsevier, vol. 151(C), pages 1186-1195.
    308. Soushi Suzuki & Peter Nijkamp, 2021. "High urban population density as a facilitator of energy–environment–economy performance–development of an autoconfiguration target model in data envelopment analysis," Asia-Pacific Journal of Regional Science, Springer, vol. 5(1), pages 261-287, February.
    309. Yanli Ji & Jie Xue & Kaiyang Zhong, 2022. "Does Environmental Regulation Promote Industrial Green Technology Progress? Empirical Evidence from China with a Heterogeneity Analysis," IJERPH, MDPI, vol. 19(1), pages 1-23, January.
    310. Thijs Jong & Edwin Woerdman, 2016. "European Energy Regulators," Competition and Regulation in Network Industries, , vol. 17(1), pages 2-31, March.
    311. Benchang Chen & Xiangfeng Ji & Xiangyan Ji, 2023. "Dynamic and Static Analysis of Carbon Emission Efficiency in China’s Transportation Sector," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    312. Ying Sun & Fengqin Liu & Huaping Sun, 2022. "Does Standardization Improve Carbon Emission Efficiency as Soft Infrastructure? Evidence from China," Energies, MDPI, vol. 15(6), pages 1-17, March.
    313. Wang, Juan & Li, Jing & Zhang, Qingjun, 2021. "Does carbon efficiency improve financial performance? Evidence from Chinese firms," Energy Economics, Elsevier, vol. 104(C).
    314. Aleksei Valentinovich Bogoviz & Svetlana Vladislavlevna Lobova & Yulia Vyacheslavovna Ragulina & Alexander Nikolaevich Alekseev, 2018. "Russia s Energy Efficiency Policies in the Industry Sector: Critical Perspectives," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 48-58.
    315. Sueyoshi, Toshiyuki & Goto, Mika, 2019. "The intermediate approach to sustainability enhancement and scale-related measures in environmental assessment," European Journal of Operational Research, Elsevier, vol. 276(2), pages 744-756.
    316. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Data envelopment analysis for environmental assessment: Comparison between public and private ownership in petroleum industry," European Journal of Operational Research, Elsevier, vol. 216(3), pages 668-678.
    317. Fang, Hong & Wu, Junjie & Zeng, Catherine, 2009. "Comparative study on efficiency performance of listed coal mining companies in China and the US," Energy Policy, Elsevier, vol. 37(12), pages 5140-5148, December.
    318. Ghosh, Santosh & Yadav, Vinod Kumar & Mukherjee, Vivekananda & Gupta, Shubham, 2021. "Three decades of Indian power-sector reform:A critical assessment," Utilities Policy, Elsevier, vol. 68(C).
    319. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2014. "Using the latent class approach to cluster firms in benchmarking: An application to the US electricity transmission industry," Operations Research Perspectives, Elsevier, vol. 1(1), pages 6-17.
    320. Hampf, Benjamin, 2018. "Cost and environmental efficiency of U.S. electricity generation: Accounting for heterogeneous inputs and transportation costs," Energy, Elsevier, vol. 163(C), pages 932-941.
    321. Sözen, Adnan & Alp, Ihsan, 2009. "Comparison of Turkey's performance of greenhouse gas emissions and local/regional pollutants with EU countries," Energy Policy, Elsevier, vol. 37(12), pages 5007-5018, December.
    322. Li, Zhi & Ouyang, Xiaoling & Du, Kerui & Zhao, Yang, 2017. "Does government transparency contribute to improved eco-efficiency performance? An empirical study of 262 cities in China," Energy Policy, Elsevier, vol. 110(C), pages 79-89.
    323. Llorca, Manuel & Orea, Luis & Pollit, Michael G., 2013. "Using in the latent class approach as a supervised method to cluster firms in DEA: An application to the US electricity transmission industry," Efficiency Series Papers 2013/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    324. Mukherjee, Kankana, 2010. "Measuring energy efficiency in the context of an emerging economy: The case of indian manufacturing," European Journal of Operational Research, Elsevier, vol. 201(3), pages 933-941, March.
    325. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2014. "Optimal Profits under Environmental Regulation: The Benefits from Emission Intensity Averaging," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 68011, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    326. Malin Song & Guijun Zhang & Kuangnan Fang & Jing Zhang, 2016. "Regional operational and environmental performance evaluation in China: non-radial DEA methodology under natural and managerial disposability," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 243-265, November.
    327. Vazhayil, Joy P. & Balasubramanian, R., 2013. "Optimization of India's power sector strategies using weight-restricted stochastic data envelopment analysis," Energy Policy, Elsevier, vol. 56(C), pages 456-465.
    328. Hampf, Benjamin, 2015. "Estimating the materials balance condition: A stochastic frontier approach," Darmstadt Discussion Papers in Economics 226, Darmstadt University of Technology, Department of Law and Economics.
    329. Duygu CEYLAN & E. NUR OZKAN GUNAY, 2010. "Energy Efficiency Trends and Policies: Cross-Country Comparison in Europe," EcoMod2010 259600038, EcoMod.
    330. Falavigna, Greta & Ippoliti, Roberto & Ramello, Giovanni B., 2018. "DEA-based Malmquist productivity indexes for understanding courts reform," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 31-43.
    331. Chen, Bin & Jin, Yingmei, 2020. "Adjusting productivity measures for CO2 emissions control: Evidence from the provincial thermal power sector in China," Energy Economics, Elsevier, vol. 87(C).
    332. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    333. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
    334. Sueyoshi, Toshiyuki & Goto, Mika, 2013. "Returns to scale vs. damages to scale in data envelopment analysis: An impact of U.S. clean air act on coal-fired power plants," Omega, Elsevier, vol. 41(2), pages 164-175.
    335. Nela Vlahinic Lenz & Alemka egota & Dario Maradin, 2018. "Total-factor Energy Efficiency in EU: Do Environmental Impacts Matter?," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 92-96.
    336. Xinna Zhao & Li Guo & Zhiyuan Gao & Yu Hao, 2024. "Estimation and Analysis of Carbon Emission Efficiency in Chinese Industry and Its Influencing Factors—Evidence from the Micro Level," Energies, MDPI, vol. 17(4), pages 1-15, February.
    337. Annageldy Arazmuradov, 2016. "Economic prospect on carbon emissions in Commonwealth of Independent States," Economic Change and Restructuring, Springer, vol. 49(4), pages 395-427, November.
    338. Yu, Yu & Wang, Derek D. & Li, Shanling & Shi, Qinfen, 2016. "Assessment of U.S. firm-level climate change performance and strategy," Energy Policy, Elsevier, vol. 92(C), pages 432-443.
    339. Qi, Xiaoyan & Guo, Pibin & Guo, Yanshan & Liu, Xiuli & Zhou, Xijun, 2020. "Understanding energy efficiency and its drivers: An empirical analysis of China’s 14 coal intensive industries," Energy, Elsevier, vol. 190(C).
    340. Yang Li & An-Chi Liu & Shu-Mei Wang & Yiting Zhan & Jingran Chen & Hsiao-Fen Hsiao, 2022. "A Study of Total-Factor Energy Efficiency for Regional Sustainable Development in China: An Application of Bootstrapped DEA and Clustering Approach," Energies, MDPI, vol. 15(9), pages 1-13, April.
    341. Singh, Pritpal & Singh, Gurdeep & Sodhi, G.P.S., 2019. "Energy auditing and optimization approach for improving energy efficiency of rice cultivation in south-western Punjab, India," Energy, Elsevier, vol. 174(C), pages 269-279.
    342. Gang Du & Chuanwang Sun, 2015. "Determinants of Electricity Demand in Nonmetallic Mineral Products Industry: Evidence from a Comparative Study of Japan and China," Sustainability, MDPI, vol. 7(6), pages 1-25, June.
    343. Song, Malin & An, Qingxian & Zhang, Wei & Wang, Zeya & Wu, Jie, 2012. "Environmental efficiency evaluation based on data envelopment analysis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4465-4469.
    344. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "DEA radial and non-radial models for unified efficiency under natural and managerial disposability: Theoretical extension by strong complementary slackness conditions," Energy Economics, Elsevier, vol. 34(3), pages 700-713.
    345. Su, Bin & Goh, Tian & Ang, B.W. & Ng, Tsan Sheng, 2022. "Energy consumption and energy efficiency trends in Singapore: The case of a meticulously planned city," Energy Policy, Elsevier, vol. 161(C).
    346. Takayabu, Hirotaka, 2020. "CO2 mitigation potentials in manufacturing sectors of 26 countries," Energy Economics, Elsevier, vol. 86(C).
    347. Qingyou Yan & Youwei Wan & Jingye Yuan & Jieting Yin & Tomas Baležentis & Dalia Streimikiene, 2017. "Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities," Energies, MDPI, vol. 10(9), pages 1-19, September.
    348. Muhammet Enis Bulak & Murat Kucukvar, 2022. "How ecoefficient is European food consumption? A frontier‐based multiregional input–output analysis," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 817-832, October.
    349. Liu, Bingsheng & Sheu, Jiuh-Biing & Zhao, Xue & Chen, Yuan & Zhang, Wei, 2020. "Decision making on post-disaster rescue routing problems from the rescue efficiency perspective," European Journal of Operational Research, Elsevier, vol. 286(1), pages 321-335.
    350. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    351. Alfons Oude Lansink & Alan Wall, 2014. "Frontier models for evaluating environmental efficiency: an overview," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 43-50.
    352. Feng, Chao & Wang, Miao, 2018. "Analysis of energy efficiency in China's transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 565-575.
    353. Arnaud Abad & Michell Arias & Paola Ravelojaona, 2023. "Environmental Productivity Assessment: an Illustration with the Ecuadorian Oil Industry," Post-Print hal-03574542, HAL.
    354. Egilmez, Gokhan & Kucukvar, Murat & Tatari, Omer & Bhutta, M. Khurrum S., 2014. "Supply chain sustainability assessment of the U.S. food manufacturing sectors: A life cycle-based frontier approach," Resources, Conservation & Recycling, Elsevier, vol. 82(C), pages 8-20.
    355. Grebel, Thomas & Stützer, Michael, 2014. "Assessment of the environmental performance of European countries over time: Addressing the role of carbon leakage and nuclear waste," Ilmenau Economics Discussion Papers 90, Ilmenau University of Technology, Institute of Economics.
    356. Azam, Muhammad & Khan, Abdul Qayyum & Bakhtyar, B. & Emirullah, Chandra, 2015. "The causal relationship between energy consumption and economic growth in the ASEAN-5 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 732-745.
    357. Riccardi, R. & Oggioni, G. & Toninelli, R., 2012. "Efficiency analysis of world cement industry in presence of undesirable output: Application of data envelopment analysis and directional distance function," Energy Policy, Elsevier, vol. 44(C), pages 140-152.
    358. Weibin Lin & Jin Yang & Bin Chen, 2011. "Temporal and Spatial Analysis of Integrated Energy and Environment Efficiency in China Based on a Green GDP Index," Energies, MDPI, vol. 4(9), pages 1-15, September.
    359. Atems, Bebonchu & Mette, Jehu & Lin, Guoyu & Madraki, Golshan, 2023. "Estimating and forecasting the impact of nonrenewable energy prices on US renewable energy consumption," Energy Policy, Elsevier, vol. 173(C).
    360. Jia-Ching Juo, 2014. "Decomposing the change in profit of Taiwanese banks: incorporating risk," Journal of Productivity Analysis, Springer, vol. 41(2), pages 247-262, April.
    361. K Hervé Dakpo, 2016. "On modeling pollution-generating technologies: a new formulation of the by-production approach," Working Papers SMART 16-06, INRAE UMR SMART.
    362. Jindal, Abhinav & Nilakantan, Rahul, 2021. "Falling efficiency levels of Indian coal-fired power plants: A slacks-based analysis," Energy Economics, Elsevier, vol. 93(C).
    363. Wang, Zhaohua & Feng, Chao & Zhang, Bin, 2014. "An empirical analysis of China's energy efficiency from both static and dynamic perspectives," Energy, Elsevier, vol. 74(C), pages 322-330.
    364. Roth, Jonathan & Lim, Benjamin & Jain, Rishee K. & Grueneich, Dian, 2020. "Examining the feasibility of using open data to benchmark building energy usage in cities: A data science and policy perspective," Energy Policy, Elsevier, vol. 139(C).
    365. Sarkis, Joseph & Cordeiro, James J., 2012. "Ecological modernization in the electrical utility industry: An application of a bads–goods DEA model of ecological and technical efficiency," European Journal of Operational Research, Elsevier, vol. 219(2), pages 386-395.
    366. Chang, Ming-Chung, 2013. "A comment on the calculation of the total-factor energy efficiency (TFEE) index," Energy Policy, Elsevier, vol. 53(C), pages 500-504.
    367. Farzad Zaare Tajabadi & Sahand Daneshvar, 2023. "Benchmark Approach for Efficiency Improvement in Green Supply Chain Management with DEA Models," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    368. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Mohammadi, Ali, 2011. "Optimization of energy consumption and input costs for apple production in Iran using data envelopment analysis," Energy, Elsevier, vol. 36(2), pages 909-916.
    369. Zhang, Bin & Lu, Danting & He, Yan & Chiu, Yung-ho, 2018. "The efficiencies of resource-saving and environment: A case study based on Chinese cities," Energy, Elsevier, vol. 150(C), pages 493-507.
    370. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    371. Sözen, Adnan & Alp, Ihsan & Özdemir, Adnan, 2010. "Assessment of operational and environmental performance of the thermal power plants in Turkey by using data envelopment analysis," Energy Policy, Elsevier, vol. 38(10), pages 6194-6203, October.
    372. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    373. Dakpo, Hervé K & Jeanneaux, Philippe & Latruffe, Laure, 2014. "Inclusion of undesirable outputs in production technology modeling: The case of greenhouse gas emissions in French meat sheep farming," Working Papers 207806, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    374. Tsolas, Ioannis E., 2011. "Performance assessment of mining operations using nonparametric production analysis: A bootstrapping approach in DEA," Resources Policy, Elsevier, vol. 36(2), pages 159-167, June.
    375. Ke Wang & Yi-Ming Wei, 2014. "China's regional industrial energy efficiency and carbon emissions abatement costs," CEEP-BIT Working Papers 64, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    376. Boban Djordjević & Evelin Krmac, 2019. "Evaluation of Energy-Environment Efficiency of European Transport Sectors: Non-Radial DEA and TOPSIS Approach," Energies, MDPI, vol. 12(15), pages 1-27, July.
    377. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    378. Joanne Evans & Massimo Filippini & Lester C Hunt, 2011. "Measuring energy efficiency and its contribution towards meeting CO2 targets: estimates for 29 OECD countries," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 135, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    379. Francesca Giambona & Erasmo Vassallo, 2014. "Composite Indicator of Social Inclusion for European Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 269-293, March.
    380. Liu, Yingnan & Wang, Ke, 2015. "Energy efficiency of China's industry sector: An adjusted network DEA (data envelopment analysis)-based decomposition analysis," Energy, Elsevier, vol. 93(P2), pages 1328-1337.
    381. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    382. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "Operational synergy in the US electric utility industry under an influence of deregulation policy: A linkage to financial performance and corporate value," Energy Policy, Elsevier, vol. 39(2), pages 699-713, February.
    383. E. Nur Ozkan Gunay, 2012. "Risk Incorporation and Efficiency in Emerging Market Banks During the Global Crisis: Evidence from Turkey, 2002-2009," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(S5), pages 91-102, November.
    384. Jie Wu & Xiang Lu & Dong Guo & Liang Liang, 2017. "Slacks-Based Efficiency Measurements with Undesirable Outputs in Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1005-1021, July.
    385. George Vlontzos & Spyros Niavis & Panos Pardalos, 2017. "Testing for Environmental Kuznets Curve in the EU Agricultural Sector through an Eco-(in)Efficiency Index," Energies, MDPI, vol. 10(12), pages 1-15, December.
    386. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    387. Zurano-Cervelló, Patricia & Pozo, Carlos & Mateo-Sanz, Josep María & Jiménez, Laureano & Guillén-Gosálbez, Gonzalo, 2019. "Sustainability efficiency assessment of the electricity mix of the 28 EU member countries combining data envelopment analysis and optimized projections," Energy Policy, Elsevier, vol. 134(C).
    388. Suzuki, Soushi & Nijkamp, Peter, 2016. "An evaluation of energy-environment-economic efficiency for EU, APEC and ASEAN countries: Design of a Target-Oriented DFM model with fixed factors in Data Envelopment Analysis," Energy Policy, Elsevier, vol. 88(C), pages 100-112.
    389. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    390. Adler, Nicole & Volta, Nicola, 2016. "Accounting for externalities and disposability: A directional economic environmental distance function," European Journal of Operational Research, Elsevier, vol. 250(1), pages 314-327.
    391. Sueyoshi, Toshiyuki & Goto, Mika, 2018. "Resource utilization for sustainability enhancement in Japanese industries," Applied Energy, Elsevier, vol. 228(C), pages 2308-2320.
    392. Lu, Ching-Cheng & Chiu, Yung-Ho & Shyu, Ming-Kuang & Lee, Jen-Hui, 2013. "Measuring CO2 emission efficiency in OECD countries: Application of the Hybrid Efficiency model," Economic Modelling, Elsevier, vol. 32(C), pages 130-135.
    393. Du, Huibin & Matisoff, Daniel C. & Wang, Yangyang & Liu, Xi, 2016. "Understanding drivers of energy efficiency changes in China," Applied Energy, Elsevier, vol. 184(C), pages 1196-1206.
    394. Li, Nan & Jiang, Yuqing & Mu, Hailin & Yu, Zhixin, 2018. "Efficiency evaluation and improvement potential for the Chinese agricultural sector at the provincial level based on data envelopment analysis (DEA)," Energy, Elsevier, vol. 164(C), pages 1145-1160.
    395. Han, Yongming & Wu, Hao & Geng, Zhiqiang & Zhu, Qunxiong & Gu, Xiangbai & Yu, Bin, 2020. "Review: Energy efficiency evaluation of complex petrochemical industries," Energy, Elsevier, vol. 203(C).
    396. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    397. Sureeyatanapas, Panitas & Sriwattananusart, Kawinpob & Niyamosoth, Thanawath & Sessomboon, Weerapat & Arunyanart, Sirawadee, 2018. "Supplier selection towards uncertain and unavailable information: An extension of TOPSIS method," Operations Research Perspectives, Elsevier, vol. 5(C), pages 69-79.
    398. Yin, Pengzhen & Sun, Jiasen & Chu, Junfei & Liang, Liang, 2016. "Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspectiveAuthor-Name: Wu, Jie," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1047-1062.
    399. Imane Bounadi & Khalil Allali & Aziz Fadlaoui & Mohammed Dehhaoui, 2023. "Water Pollution Abatement in Olive Oil Industry in Morocco: Cost Estimates and Policy Implications," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    400. Maria-Eugenia Sanin & Sylvain Sourisseau, 2019. "Pervasive EUAs free allocation: the case of the steel industry," Documents de recherche 19-06, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    401. Chiang-Ping Chen & Ming-Chung Chang & Wei-Che Tsai, 2021. "Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: Evidence from ASEAN+6," SAGE Open, , vol. 11(3), pages 21582440211, September.
    402. Roberto Ippoliti, 2015. "La riforma della geografia giudiziaria: efficienza tecnica e domanda di giustizia," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2015(2), pages 91-124.
    403. Geng, ZhiQiang & Dong, JunGen & Han, YongMing & Zhu, QunXiong, 2017. "Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes," Applied Energy, Elsevier, vol. 205(C), pages 465-476.
    404. Manfren, Massimiliano & Aste, Niccolò & Moshksar, Reza, 2013. "Calibration and uncertainty analysis for computer models – A meta-model based approach for integrated building energy simulation," Applied Energy, Elsevier, vol. 103(C), pages 627-641.
    405. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
    406. Zhou, Yishu & Huang, Ling, 2016. "Have U.S. power plants become less technically efficient? The impact of carbon emission regulation," Energy Economics, Elsevier, vol. 58(C), pages 105-115.
    407. Cordero, José Manuel & Alonso-Morán, Edurne & Nuño-Solinis, Roberto & Orueta, Juan F. & Arce, Regina Sauto, 2015. "Efficiency assessment of primary care providers: A conditional nonparametric approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 235-244.
    408. Sanz-Díaz, María Teresa & Velasco-Morente, Francisco & Yñiguez, Rocío & Díaz-Calleja, Emilio, 2017. "An analysis of Spain's global and environmental efficiency from a European Union perspective," Energy Policy, Elsevier, vol. 104(C), pages 183-193.
    409. Mohamed Dia & Shashi K. Shahi & Luckny Zéphyr, 2021. "An Assessment of the Efficiency of Canadian Power Generation Companies with Bootstrap DEA," JRFM, MDPI, vol. 14(10), pages 1-27, October.
    410. Hu, Hongtao & Yuan, Jun & Nian, Victor, 2019. "Development of a multi-objective decision-making method to evaluate correlated decarbonization measures under uncertainty – The example of international shipping," Transport Policy, Elsevier, vol. 82(C), pages 148-157.
    411. Yu, Anyu & Zhang, Puwei & Rudkin, Simon, 2022. "Simultaneous action or protection after production? Decision making based on a chance-constrained approach by measuring environmental performance considering PM2.5," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    412. Joanne Evans & Massimo Filippini & Lester C. Hunt, 2013. "The contribution of energy efficiency towards meeting CO2 targets," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 8, pages 175-223, Edward Elgar Publishing.
    413. Mehdi Toloo & Soroosh Nalchigar & Babak Sohrabi, 2018. "Selecting most efficient information system projects in presence of user subjective opinions: a DEA approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 1027-1051, December.
    414. Mou, Dunguo, 2014. "Understanding China’s electricity market reform from the perspective of the coal-fired power disparity," Energy Policy, Elsevier, vol. 74(C), pages 224-234.
    415. Ippoliti, Roberto, 2014. "Efficienza Tecnica e Geografia Giudiziaria," POLIS Working Papers 178, Institute of Public Policy and Public Choice - POLIS.
    416. Huang, Junbing & Du, Dan & Hao, Yu, 2017. "The driving forces of the change in China's energy intensity: An empirical research using DEA-Malmquist and spatial panel estimations," Economic Modelling, Elsevier, vol. 65(C), pages 41-50.
    417. Shuaiyu Yao & Mengmeng Chen & Dmitri Muravev & Wendi Ouyang, 2021. "Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model," IJERPH, MDPI, vol. 18(11), pages 1-16, June.
    418. Zeng, Ximei & Zhou, Zhongbao & Gong, Yeming & Liu, Wenbin, 2022. "A data envelopment analysis model integrated with portfolio theory for energy mix adjustment: Evidence in the power industry," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    419. Arnaud Abad, 2020. "Environmental Efficiency and Productivity Analysis," Working Papers hal-03032038, HAL.
    420. Margaréta Halická & Mária Trnovská, 2018. "Negative features of hyperbolic and directional distance models for technologies with undesirable outputs," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 887-907, December.
    421. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    422. Xie, Bai-Chen & Gao, Jie & Zhang, Shuang & Pang, Rui-Zhi & Zhang, ZhongXiang, 2018. "The environmental efficiency analysis of China’s power generation sector based on game cross-efficiency approach," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 126-135.
    423. Tronchin, Lamberto & Manfren, Massimiliano & Nastasi, Benedetto, 2018. "Energy efficiency, demand side management and energy storage technologies – A critical analysis of possible paths of integration in the built environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 341-353.
    424. Oliviero A. Carboni & Paolo Russu, 2018. "Measuring and forecasting regional environmental and economic efficiency in Italy," Applied Economics, Taylor & Francis Journals, vol. 50(4), pages 335-353, January.
    425. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "Measurement of Returns to Scale and Damages to Scale for DEA-based operational and environmental assessment: How to manage desirable (good) and undesirable (bad) outputs?," European Journal of Operational Research, Elsevier, vol. 211(1), pages 76-89, May.
    426. Barros, Carlos Pestana & Wanke, Peter, 2017. "Efficiency in Angolan thermal power plants: Evidence from cost structure and pollutant emissions," Energy, Elsevier, vol. 130(C), pages 129-143.
    427. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    428. Iglesias, Guillermo & Castellanos, Pablo & Seijas, Amparo, 2010. "Measurement of productive efficiency with frontier methods: A case study for wind farms," Energy Economics, Elsevier, vol. 32(5), pages 1199-1208, September.
    429. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
    430. Wang, H. & Zhou, P. & Wang, Qunwei, 2016. "Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach," Energy, Elsevier, vol. 101(C), pages 218-228.
    431. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Returns to scale and damages to scale under natural and managerial disposability: Strategy, efficiency and competitiveness of petroleum firms," Energy Economics, Elsevier, vol. 34(3), pages 645-662.
    432. Sugathan, Anish & Malghan, Deepak & Chandrashekar, S. & Sinha, Deepak K., 2019. "Downstream electric utility restructuring and upstream generation efficiency: Productivity dynamics of Indian coal and gas based electricity generators," Energy, Elsevier, vol. 178(C), pages 832-852.
    433. Guang Chu & Liangjian Yang & Jinhe Zhang & Tian Wang & Yingjia Dong & Zhangrui Qian, 2024. "Navigating the Efficiency Landscape: A Data Envelopment Analysis of Tourist Resorts in Jiangsu Province for Optimized Socio-Economic Benefits," Sustainability, MDPI, vol. 16(4), pages 1-21, February.
    434. Feng, Chao & Wang, Miao & Liu, Guan-Chun & Huang, Jian-Bai, 2017. "Sources of economic growth in China from 2000–2013 and its further sustainable growth path: A three-hierarchy meta-frontier data envelopment analysis," Economic Modelling, Elsevier, vol. 64(C), pages 334-348.
    435. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2019. "Environmental efficiency measurement with heterogeneous input quality: A nonparametric analysis of U.S. power plants," Energy Economics, Elsevier, vol. 81(C), pages 610-625.
    436. Jianqing Zhang & Enze Gong & Fangheng Tong & Shuting Li, 2022. "Is a Pleasant Policy Environment Conducive to Green Growth of Central China?," IJERPH, MDPI, vol. 19(13), pages 1-22, June.
    437. Kuosmanen, Timo & Kuosmanen, Natalia, 2009. "How not to measure sustainable value (and how one might)," Ecological Economics, Elsevier, vol. 69(2), pages 235-243, December.
    438. Xiang Ji & Jiasen Sun & Qunwei Wang & Qianqian Yuan, 2019. "Revealing Energy Over-Consumption and Pollutant Over-Emission Behind GDP: A New Multi-criteria Sustainable Measure," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1391-1421, December.
    439. Yang Lin & Longzhong Yan & Ying-Ming Wang, 2019. "Performance Evaluation and Investment Analysis for Container Port Sustainable Development in China: An Inverse DEA Approach," Sustainability, MDPI, vol. 11(17), pages 1-13, August.
    440. Corrado Lo Storto, 2018. "A Nonparametric Economic Analysis of the US Natural Gas Transmission Infrastructure: Efficiency, Trade-Offs and Emerging Industry Configurations," Energies, MDPI, vol. 11(3), pages 1-24, February.
    441. Miao, Zhuang & Baležentis, Tomas & Shao, Shuai & Chang, Dongfeng, 2019. "Energy use, industrial soot and vehicle exhaust pollution—China's regional air pollution recognition, performance decomposition and governance," Energy Economics, Elsevier, vol. 83(C), pages 501-514.
    442. Guo, Xiao-Dan & Zhu, Lei & Fan, Ying & Xie, Bai-Chen, 2011. "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, Elsevier, vol. 39(5), pages 2352-2360, May.
    443. Lee, Chia-Yen, 2018. "Mixed-strategy Nash equilibrium in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1013-1024.
    444. Qi He & Hongli Jiang, 2024. "Does the Energy-Consumption Permit Trading Scheme Improve Carbon Emission Performance? Evidence from a Quasi-Natural Experiment in China," Sustainability, MDPI, vol. 16(1), pages 1-27, January.
    445. Chiu, Yung-Ho & Lee, Jen-Hui & Lu, Ching-Cheng & Shyu, Ming-Kuang & Luo, Zhengying, 2012. "The technology gap and efficiency measure in WEC countries: Application of the hybrid meta frontier model," Energy Policy, Elsevier, vol. 51(C), pages 349-357.
    446. Hang Xiong, 2012. "Effects of One-Sided Fiscal Decentralization on Environmental Efficiency of Chinese Provinces," CERDI Working papers halshs-00672450, HAL.
    447. Wen-Chi Yang & Wen-Min Lu, 2023. "Achieving Net Zero—An Illustration of Carbon Emissions Reduction with A New Meta-Inverse DEA Approach," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
    448. Linlin Zhao & Yong Zha & Kangning Wei & Liang Liang, 2017. "A target-based method for energy saving and carbon emissions reduction in China based on environmental data envelopment analysis," Annals of Operations Research, Springer, vol. 255(1), pages 277-300, August.

  130. Zhou, Peng & Poh, Kim Leng & Ang, Beng Wah, 2007. "A non-radial DEA approach to measuring environmental performance," European Journal of Operational Research, Elsevier, vol. 178(1), pages 1-9, April.

    Cited by:

    1. Long, Xingle & Wu, Chao & Zhang, Jijian & Zhang, Jing, 2018. "Environmental efficiency for 192 thermal power plants in the Yangtze River Delta considering heterogeneity: A metafrontier directional slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3962-3971.
    2. Pan Wanbin & Huang Lei & Zhao Linlin, 2017. "An Integrated DEA Model Allowing Decomposition of Eco-Efficiency: A Case Study of China," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 473-488, October.
    3. Vlontzos, George & Niavis, Spyros & Manos, Basil, 2014. "A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 91-96.
    4. Hatefi, S.M. & Torabi, S.A., 2010. "A common weight MCDA-DEA approach to construct composite indicators," Ecological Economics, Elsevier, vol. 70(1), pages 114-120, November.
    5. Aldea, Anamaria & Ciobanu, Anamaria & Stancu, Ion, 2012. "The Renewable Energy Development: A Nonparametric Efficiency Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 5-19, March.
    6. Jiang, Lei & Zhou, Haifeng & He, Shixiong, 2021. "Does energy efficiency increase at the expense of output performance: Evidence from manufacturing firms in Jiangsu province, China," Energy, Elsevier, vol. 220(C).
    7. P. Zhou & B. Ang & D. Zhou, 2010. "Weighting and Aggregation in Composite Indicator Construction: a Multiplicative Optimization Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 96(1), pages 169-181, March.
    8. Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.
    9. Yongrok Choi & Hyoung Seok Lee, 2016. "Are Emissions Trading Policies Sustainable? A Study of the Petrochemical Industry in Korea," Sustainability, MDPI, vol. 8(11), pages 1-13, October.
    10. Khalid Mehmood & Yaser Iftikhar & Shouming Chen & Shaheera Amin & Alia Manzoor & Jinlong Pan, 2020. "Analysis of Inter-Temporal Change in the Energy and CO 2 Emissions Efficiency of Economies: A Two Divisional Network DEA Approach," Energies, MDPI, vol. 13(13), pages 1-17, June.
    11. Jie Wu & Qingyuan Zhu & Junfei Chu & Liang Liang, 2015. "Two-Stage Network Structures with Undesirable Intermediate Outputs Reused: A DEA Based Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 455-477, October.
    12. Mahlberg, Bernhard & Luptacik, Mikulas & Sahoo, Biresh K., 2011. "Examining the drivers of total factor productivity change with an illustrative example of 14 EU countries," Ecological Economics, Elsevier, vol. 72(C), pages 60-69.
    13. Zhou, P. & Ang, B.W., 2008. "Linear programming models for measuring economy-wide energy efficiency performance," Energy Policy, Elsevier, vol. 36(8), pages 2901-2906, August.
    14. Gabriel POPESCU & Dan BOBOC & Mirela STOIAN & Alina ZAHARIA & Georgiana Raluca LADARU, 2017. "A Cross-Sectional Study of Sustainability Assessment," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(1), pages 21-36.
    15. Yao, Zhigang & Liu, Yao, 2023. "How Covid-19 impacts the financing in SMEs: Evidence from private firms," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 1046-1056.
    16. Na Wang & Yongrok Choi, 2019. "Challenges for Sustainable Water Use in the Urban Industry of Korea Based on the Global Non-Radial Directional Distance Function Model," Sustainability, MDPI, vol. 11(14), pages 1-15, July.
    17. Levent Kutlu, 2020. "Greenhouse Gas Emission Efficiencies of World Countries," IJERPH, MDPI, vol. 17(23), pages 1-11, November.
    18. Zhou, Guanghui & Chung, William & Zhang, Xiliang, 2013. "A study of carbon dioxide emissions performance of China's transport sector," Energy, Elsevier, vol. 50(C), pages 302-314.
    19. Chang, Young-Tae & Zhang, Ning & Danao, Denise & Zhang, Nan, 2013. "Environmental efficiency analysis of transportation system in China: A non-radial DEA approach," Energy Policy, Elsevier, vol. 58(C), pages 277-283.
    20. Ramanathan, Ramakrishnan & Ramanathan, Usha & Bentley, Yongmei, 2018. "The debate on flexibility of environmental regulations, innovation capabilities and financial performance – A novel use of DEA," Omega, Elsevier, vol. 75(C), pages 131-138.
    21. Ouyang, Xiaoling & Sun, Chuanwang, 2015. "Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency," Energy Economics, Elsevier, vol. 48(C), pages 117-126.
    22. Lee, Hyoungsuk & Choi, Yongrok & Seo, Hyungjun, 2020. "Comparative analysis of the R&D investment performance of Korean local governments," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    23. Behrouz Arabi & Susila Munisamy Doraisamy & Ali Emrouznejad & Alireza Khoshroo, 2017. "Eco-efficiency measurement and material balance principle: an application in power plants Malmquist Luenberger Index," Annals of Operations Research, Springer, vol. 255(1), pages 221-239, August.
    24. Chu, Junfei & Shao, Caifeng & Emrouznejad, Ali & Wu, Jie & Yuan, Zhe, 2021. "Performance evaluation of organizations considering economic incentives for emission reduction: A carbon emission permit trading approach," Energy Economics, Elsevier, vol. 101(C).
    25. Bi, Gong-Bing & Song, Wen & Zhou, P. & Liang, Liang, 2014. "Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model," Energy Policy, Elsevier, vol. 66(C), pages 537-546.
    26. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali, 2015. "A new slacks-based measure of Malmquist–Luenberger index in the presence of undesirable outputs," Omega, Elsevier, vol. 51(C), pages 29-37.
    27. Meiqiang Wang & Yingwen Chen & Zhixiang Zhou, 2020. "A Novel Stochastic Two-Stage DEA Model for Evaluating Industrial Production and Waste Gas Treatment Systems," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
    28. Wang, Jian & Lv, Kangjuan & Bian, Yiwen & Cheng, Yu, 2017. "Energy efficiency and marginal carbon dioxide emission abatement cost in urban China," Energy Policy, Elsevier, vol. 105(C), pages 246-255.
    29. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    30. Roberto Gómez-Calvet & David Conesa & Ana Rosa Gómez-Calvet & Emili Tortosa-Ausina, 2013. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Working Papers 2013/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    31. Shuai Wang & Cunyi Yang & Zhenghui Li, 2022. "Green Total Factor Productivity Growth: Policy-Guided or Market-Driven?," IJERPH, MDPI, vol. 19(17), pages 1-19, August.
    32. Amir Homayoun Sarfaraz & Amir Karbassi Yazdi & Thomas Hanne & Peter Fernandes Wanke & Raheleh Sadat Hosseini, 2023. "Assessing repair and maintenance efficiency for water suppliers: a novel hybrid USBM-FIS framework," Operations Management Research, Springer, vol. 16(3), pages 1321-1342, September.
    33. Sun, Jiasen & Yuan, Yang & Yang, Rui & Ji, Xiang & Wu, Jie, 2017. "Performance evaluation of Chinese port enterprises under significant environmental concerns: An extended DEA-based analysis," Transport Policy, Elsevier, vol. 60(C), pages 75-86.
    34. Bian, Yiwen & Yang, Feng, 2010. "Resource and environment efficiency analysis of provinces in China: A DEA approach based on Shannon's entropy," Energy Policy, Elsevier, vol. 38(4), pages 1909-1917, April.
    35. Huang, Chin-wei & Chiu, Yung-ho & Fang, Wei-ta & Shen, Neng, 2014. "Assessing the performance of Taiwan’s environmental protection system with a non-radial network DEA approach," Energy Policy, Elsevier, vol. 74(C), pages 547-556.
    36. Halkos, George & Zisiadou, Argyro, 2016. "Environmental performance index and economic welfare," MPRA Paper 75561, University Library of Munich, Germany.
    37. Lozano, Sebastián & Iribarren, Diego & Moreira, María Teresa & Feijoo, Gumersindo, 2010. "Environmental impact efficiency in mussel cultivation," Resources, Conservation & Recycling, Elsevier, vol. 54(12), pages 1269-1277.
    38. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Managi, Shunsuke, 2014. "Non-Radial Directional Performance Measurement with Undesirable Outputs," MPRA Paper 57189, University Library of Munich, Germany.
    39. Xu Wang & Liyan Han & Libo Yin, 2016. "Environmental Efficiency and Its Determinants for Manufacturing in China," Sustainability, MDPI, vol. 9(1), pages 1-18, December.
    40. Fei, Rilong & Lin, Boqiang, 2017. "The integrated efficiency of inputs–outputs and energy – CO2 emissions performance of China's agricultural sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 668-676.
    41. Guo, Xiaoying & Lu, Ching-Cheng & Lee, Jen-Hui & Chiu, Yung-Ho, 2017. "Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China," Energy, Elsevier, vol. 134(C), pages 392-399.
    42. Yongrok Choi & Hyoung Seok Lee & Ahmed Mastur, 2019. "Are Sustainable Development Policies Really Feasible? Focused on the Petrochemical Industry in Korea," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
    43. Xiang Chen & Xuping Zhang & Xin Wu & Ching-Cheng Lu, 2022. "The environmental health and energy efficiency in China: A network slacks-based measure," Energy & Environment, , vol. 33(1), pages 170-188, February.
    44. Chien-Ming Chen, 2014. "Evaluating eco-efficiency with data envelopment analysis: an analytical reexamination," Annals of Operations Research, Springer, vol. 214(1), pages 49-71, March.
    45. Vaninsky, Alexander, 2010. "Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment – stochastic frontier analysis approach," Energy, Elsevier, vol. 35(9), pages 3657-3665.
    46. Nick Johnstone & Shunsuke Managi & Miguel Cárdenas Rodríguez & Ivan Haščič & Hidemichi Fujii & Martin Souchier, 2016. "Environmental Policy Design, Innovation And Efficiency Gains In Electricity Generation," OECD Environment Working Papers 104, OECD Publishing.
    47. Yavuz Selman DUMAN & Adnan KASMAN, 2017. "The Role of International Trade and Urbanization on Environmental Technical Efficiency in EU Member and Candidate Countries," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 17(4), pages 481-491.
    48. Wang, Qunwei & Zhou, Peng & Zhou, Dequn, 2012. "Efficiency measurement with carbon dioxide emissions: The case of China," Applied Energy, Elsevier, vol. 90(1), pages 161-166.
    49. Sueyoshi, Toshiyuki & Goto, Mika & Ueno, Takahiro, 2010. "Performance analysis of US coal-fired power plants by measuring three DEA efficiencies," Energy Policy, Elsevier, vol. 38(4), pages 1675-1688, April.
    50. Chen, Zhenling & Zhao, Weigang & Zheng, Heyun, 2021. "Potential output gap in China's regional coal-fired power sector under the constraint of carbon emission reduction," Energy Policy, Elsevier, vol. 148(PA).
    51. Ching-Cheng Lu & Liang-Chun Lu, 2019. "Evaluating the energy efficiency of European Union countries: The dynamic data envelopment analysis," Energy & Environment, , vol. 30(1), pages 27-43, February.
    52. Zhou, P. & Ang, B.W. & Poh, K.L., 2007. "A mathematical programming approach to constructing composite indicators," Ecological Economics, Elsevier, vol. 62(2), pages 291-297, April.
    53. Chiu, Yung-ho & Huang, Chin-wei & Ma, Chun-Mei, 2011. "Assessment of China transit and economic efficiencies in a modified value-chains DEA model," European Journal of Operational Research, Elsevier, vol. 209(2), pages 95-103, March.
    54. Fujii, Hidemichi & Managi, Shunsuke & Matousek, Roman, 2014. "Indian bank efficiency and productivity changes with undesirable outputs: A disaggregated approach," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 41-50.
    55. Mariam Camarero & Juana Castillo-Giménez & Andrés Picazo-Tadeo & Cecilio Tamarit, 2014. "Is eco-efficiency in greenhouse gas emissions converging among European Union countries?," Empirical Economics, Springer, vol. 47(1), pages 143-168, August.
    56. H. Leleu, 2013. "Shadow pricing of undesirable outputs in nonparametric analysis," Post-Print hal-00848044, HAL.
    57. Jing Fu, 2018. "Two-stage data envelopment analysis with undesirable intermediate measures: an application to air quality improvement in China," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 861-885, December.
    58. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    59. Moradi-Motlagh, Amir & Jubb, Christine, 2020. "Examining irresponsible lending using non-radial inefficiency measures: Evidence from Australian banks," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 96-108.
    60. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Energy and Environmental Efficiency in Different Chinese Regions," Sustainability, MDPI, vol. 11(4), pages 1-26, February.
    61. Lee, Hyoungsuk & Choi, Yongrok, 2018. "Greenhouse gas performance of Korean local governments based on non-radial DDF," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 13-21.
    62. Yang, Guo-liang & Fukuyama, Hirofumi, 2018. "Measuring the Chinese regional production potential using a generalized capacity utilization indicator," Omega, Elsevier, vol. 76(C), pages 112-127.
    63. Lee, Taehwee & Yeo, Gi-Tae & Thai, Vinh V., 2014. "Environmental efficiency analysis of port cities: Slacks-based measure data envelopment analysis approach," Transport Policy, Elsevier, vol. 33(C), pages 82-88.
    64. Xiao Gong & Jianing Mi & Chunyan Wei & Ruitao Yang, 2019. "Measuring Environmental and Economic Performance of Air Pollution Control for Province-Level Areas in China," IJERPH, MDPI, vol. 16(8), pages 1-19, April.
    65. Wentao Lu & Guixiang Zhang, 2023. "Green development efficiency of urban agglomerations in a developing country: evidence from Beijing-Tianjin-Hebei in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6939-6962, July.
    66. Sahoo, Biresh K. & Luptacik, Mikulas & Mahlberg, Bernhard, 2011. "Alternative measures of environmental technology structure in DEA: An application," European Journal of Operational Research, Elsevier, vol. 215(3), pages 750-762, December.
    67. Zhou, P. & Ang, B.W., 2008. "Decomposition of aggregate CO2 emissions: A production-theoretical approach," Energy Economics, Elsevier, vol. 30(3), pages 1054-1067, May.
    68. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    69. Demiral, Elif E. & Sağlam, Ümit, 2021. "Eco-efficiency and Eco-productivity assessments of the states in the United States: A two-stage Non-parametric analysis," Applied Energy, Elsevier, vol. 303(C).
    70. María Molinos-Senante & Manuel Mocholi-Arce & Ramón Sala-Garrido, 2016. "Efficiency Assessment of Water and Sewerage Companies: a Disaggregated Approach Accounting for Service Quality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4311-4328, September.
    71. Dan Wu & Ching-Cheng Lu & Xiang Chen & Pei-Chieh Tu & An-Chi Yang & Chih-Yu Yang, 2021. "Evaluating the Dynamic Energy Production Efficiency in APEC Economies," Energies, MDPI, vol. 14(14), pages 1-20, July.
    72. Shoaib Aslam & Mohamed H. Elmagrhi & Ramiz Ur Rehman & Collins G. Ntim, 2021. "Environmental management practices and financial performance using data envelopment analysis in Japan: The mediating role of environmental performance," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 1655-1673, May.
    73. Feng Li & Qingyuan Zhu & Jun Zhuang, 2018. "Analysis of fire protection efficiency in the United States: a two-stage DEA-based approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 23-68, January.
    74. Karligash Kenjegalieva & Richard Simper, 2010. "A Productivity analysis of Eastern European banking taking into account risk decomposition and environmental variables," Discussion Paper Series 2010_02, Department of Economics, Loughborough University, revised Jan 2010.
    75. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "The Impact of Economic Growth and Air Pollution on Public Health in 31 Chinese Cities," IJERPH, MDPI, vol. 16(3), pages 1-26, January.
    76. Zhang, Chunhong & Liu, Haiying & Bressers, Hans Th.A. & Buchanan, Karen S., 2011. "Productivity growth and environmental regulations - accounting for undesirable outputs: Analysis of China's thirty provincial regions using the Malmquist–Luenberger index," Ecological Economics, Elsevier, vol. 70(12), pages 2369-2379.
    77. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    78. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2013. "Energy and emissions efficiency patterns of Chinese regions: A multi-directional efficiency analysis," Applied Energy, Elsevier, vol. 104(C), pages 105-116.
    79. Li, Ying & Chiu, Yung-ho & Lu, Liang Chun, 2018. "Energy and AQI performance of 31 cities in China," Energy Policy, Elsevier, vol. 122(C), pages 194-202.
    80. Halkos, George & Tzeremes, Nickolaos, 2012. "A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from the UK regions," MPRA Paper 38147, University Library of Munich, Germany.
    81. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    82. Halkos, George & Tzeremes, Nickolaos, 2013. "An additive two-stage DEA approach creating sustainability efficiency indexes," MPRA Paper 44231, University Library of Munich, Germany.
    83. Chen, Nengcheng & Xu, Lei & Chen, Zeqiang, 2017. "Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and tobit models," Energy, Elsevier, vol. 134(C), pages 659-671.
    84. Wang, Ke & Wei, Yi-Ming & Zhang, Xian, 2012. "A comparative analysis of China’s regional energy and emission performance: Which is the better way to deal with undesirable outputs?," Energy Policy, Elsevier, vol. 46(C), pages 574-584.
    85. Jin-chi Hsieh & Ching-cheng Lu & Ying Li & Yung-ho Chiu & Ya-sue Xu, 2019. "Environmental Assessment of European Union Countries," Energies, MDPI, vol. 12(2), pages 1-18, January.
    86. Junlong Li & Chuangneng Cai & Feng Zhang, 2020. "Assessment of Ecological Efficiency and Environmental Sustainability of the Minjiang-Source in China," Sustainability, MDPI, vol. 12(11), pages 1-15, June.
    87. George Halkos & George Papageorgiou, 2014. "Spatial environmental efficiency indicators in regional waste generation: A nonparametric approach," DEOS Working Papers 1401, Athens University of Economics and Business.
    88. Hwai-Shuh Shieh & Jin-Li Hu & Yong-Ze Ang, 2020. "Efficiency of Life Insurance Companies: An Empirical Study in Mainland China and Taiwan," SAGE Open, , vol. 10(1), pages 21582440209, February.
    89. Ning Zhang & Jong-Dae Kim, 2014. "Measuring sustainability by Energy Efficiency Analysis for Korean Power Companies: A Sequential Slacks-Based Efficiency Measure," Sustainability, MDPI, vol. 6(3), pages 1-13, March.
    90. Illi Kim & Changhee Kim, 2018. "Supply Chain Efficiency Measurement to Maintain Sustainable Performance in the Automobile Industry," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    91. Zhibo Zhao & Tian Yuan & Xunpeng Shi & Lingdi Zhao, 2020. "Heterogeneity in the relationship between carbon emission performance and urbanization: evidence from China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1363-1380, October.
    92. Iftikhar, Yaser & Wang, Zhaohua & Zhang, Bin & Wang, Bo, 2018. "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, Elsevier, vol. 147(C), pages 197-207.
    93. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    94. Shiu-Wan Hung & Mei-Chun Liu, 2010. "Exploring the operating efficiency of semiconductor industry by a sustainable development approach," International Journal of Green Economics, Inderscience Enterprises Ltd, vol. 4(2), pages 145-155.
    95. Sajon Dhar & Mohammad Ashraful Ferdous Chowdhury, 2021. "Impact of Environmental Accounting Reporting Practices on Financial Performance: Evidence From Banking Sector of Bangladesh," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 12(1), pages 24-42, January.
    96. Harald Dyckhoff & Rainer Souren, 2023. "Are important phenomena of joint production still being neglected by economic theory? A review of recent literature," Journal of Business Economics, Springer, vol. 93(6), pages 1015-1053, August.
    97. Claudio Quintano & Paolo Mazzocchi & Antonella Rocca, 2020. "A competitive analysis of EU ports by fixing spatial and economic dimensions," Journal of Shipping and Trade, Springer, vol. 5(1), pages 1-19, December.
    98. Wu, Jie & An, Qingxian & Xiong, Beibei & Chen, Ya, 2013. "Congestion measurement for regional industries in China: A data envelopment analysis approach with undesirable outputs," Energy Policy, Elsevier, vol. 57(C), pages 7-13.
    99. Meng, Conghui & Du, Xiaoyun & Zhu, Mengcheng & Ren, Yitian & Fang, Kai, 2023. "The static and dynamic carbon emission efficiency of transport industry in China," Energy, Elsevier, vol. 274(C).
    100. Qingyou Yan & Xu Wang & Tomas Baležentis & Dalia Streimikiene, 2018. "Energy–economy–environmental (3E) performance of Chinese regions based on the data envelopment analysis model with mixed assumptions on disposability," Energy & Environment, , vol. 29(5), pages 664-684, August.
    101. Song, Lianlian & Fu, Yelin & Zhou, Peng & Lai, Kin Keung, 2017. "Measuring national energy performance via Energy Trilemma Index: A Stochastic Multicriteria Acceptability Analysis," Energy Economics, Elsevier, vol. 66(C), pages 313-319.
    102. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    103. Nadimi, Reza & Tokimatsu, Koji, 2019. "Potential energy saving via overall efficiency relying on quality of life," Applied Energy, Elsevier, vol. 233, pages 283-299.
    104. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali & Shadman, Foroogh, 2014. "Power industry restructuring and eco-efficiency changes: A new slacks-based model in Malmquist–Luenberger Index measurement," Energy Policy, Elsevier, vol. 68(C), pages 132-145.
    105. Jie Wu & Qingyuan Zhu & Pengzhen Yin & Malin Song, 2017. "Measuring energy and environmental performance for regions in China by using DEA-based Malmquist indices," Operational Research, Springer, vol. 17(3), pages 715-735, October.
    106. Fazil Gokgoz & Serap Pelin Turkoglu, 2017. "Investigating the energy efficiencies of OECD countries via a slack-based undesirable output model," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2017(3), pages 73-94.
    107. Xiaohong Liu & Qingyuan Zhu & Junfei Chu & Xiang Ji & Xingchen Li, 2019. "Environmental Performance and Benchmarking Information for Coal-Fired Power Plants in China: A DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1287-1302, December.
    108. Halkos, George & Tzeremes, Nickolaos, 2011. "Regional environmental efficiency and economic growth: NUTS2 evidence from Germany, France and the UK," MPRA Paper 33698, University Library of Munich, Germany.
    109. Goletsis, Y. & Chletsos, M., 2011. "Measurement of development and regional disparities in Greek periphery: A multivariate approach," Socio-Economic Planning Sciences, Elsevier, vol. 45(4), pages 174-183, December.
    110. Corrado Lo Storto, 2016. "Ecological Efficiency Based Ranking of Cities: A Combined DEA Cross-Efficiency and Shannon’s Entropy Method," Sustainability, MDPI, vol. 8(2), pages 1-29, January.
    111. Afzalinejad, Mohammad, 2020. "Reverse efficiency measures for environmental assessment in data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    112. George Halkos & Argyro Zisiadou, 2018. "Relating environmental performance with socioeconomic and cultural factors," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 69-88, January.
    113. Bretholt, Abraham & Pan, Jeh-Nan, 2013. "Evolving the latent variable model as an environmental DEA technology," Omega, Elsevier, vol. 41(2), pages 315-325.
    114. Arjomandi, Amir & Seufert, Juergen Heinz, 2014. "An evaluation of the world's major airlines' technical and environmental performance," Economic Modelling, Elsevier, vol. 41(C), pages 133-144.
    115. Haifeng Huang & Tao Wang, 2017. "The Total-Factor Energy Efficiency of Regions in China: Based on Three-Stage SBM Model," Sustainability, MDPI, vol. 9(9), pages 1-20, September.
    116. Gang Tian & Jian Shi & Licheng Sun & Xingle Long & Benhai Guo, 2017. "Dynamic changes in the energy–carbon performance of Chinese transportation sector: a meta-frontier non-radial directional distance function approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(2), pages 585-607, November.
    117. Li, Mingquan & Wang, Qi, 2014. "International environmental efficiency differences and their determinants," Energy, Elsevier, vol. 78(C), pages 411-420.
    118. Xiangyu Teng & Danting Lu & Yung-ho Chiu, 2019. "Emission Reduction and Energy Performance Improvement with Different Regional Treatment Intensity in China," Energies, MDPI, vol. 12(2), pages 1-18, January.
    119. Wang, Juan & Li, Jing & Zhang, Qingjun, 2021. "Does carbon efficiency improve financial performance? Evidence from Chinese firms," Energy Economics, Elsevier, vol. 104(C).
    120. Shih-Heng Yu, 2019. "Benchmarking and Performance Evaluation Towards the Sustainable Development of Regions in Taiwan: A Minimum Distance-Based Measure with Undesirable Outputs in Additive DEA," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1323-1348, August.
    121. Chia-Hsuan Wu & Ching-Cheng Chang & Po-Chi Chen & Ken-Nan Kuo, 2013. "Efficiency and productivity change in Taiwan’s hospitals: a non-radial quality-adjusted measurement," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(2), pages 431-453, March.
    122. Tae-Woong Yang & Joon-Ho Na & Hun-Koo Ha, 2019. "Comparative Analysis of Production Possibility Frontier in Measuring Social Efficiency with Data Envelopment Analysis: An Application to Airports," Sustainability, MDPI, vol. 11(7), pages 1-18, April.
    123. Qingyou Yan & Fei Zhao & Xu Wang & Tomas Balezentis, 2021. "The Environmental Efficiency Analysis Based on the Three-Step Method for Two-Stage Data Envelopment Analysis," Energies, MDPI, vol. 14(21), pages 1-14, October.
    124. Minyoung Yang & Jinsoo Kim, 2022. "A Critical Review of the Definition and Estimation of Carbon Efficiency," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    125. Ma-Lin Song & Ron Fisher & Jian-Lin Wang & Lian-Biao Cui, 2018. "Environmental performance evaluation with big data: theories and methods," Annals of Operations Research, Springer, vol. 270(1), pages 459-472, November.
    126. Yu, Ming-Miin & Chen, Li-Hsueh, 2016. "Centralized resource allocation with emission resistance in a two-stage production system: Evidence from a Taiwan’s container shipping company," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 650-671.
    127. Zuoren Sun & Chao An & Huachen Sun, 2018. "Regional Differences in Energy and Environmental Performance: An Empirical Study of 283 Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-28, July.
    128. Xie, Qiwei & Hu, Ping & Jiang, An & Li, Yongjun, 2019. "Carbon emissions allocation based on satisfaction perspective and data envelopment analysis," Energy Policy, Elsevier, vol. 132(C), pages 254-264.
    129. Song, Malin & An, Qingxian & Zhang, Wei & Wang, Zeya & Wu, Jie, 2012. "Environmental efficiency evaluation based on data envelopment analysis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4465-4469.
    130. Kiril Simeonovski & Tamara Kaftandzieva & Gregory Brock, 2021. "Energy Efficiency Management across EU Countries: A DEA Approach," Energies, MDPI, vol. 14(9), pages 1-19, May.
    131. Duyen Nhat Lam Tran & Tien Dinh Nguyen & Thuy Thu Pham & Roberto F. Rañola & Thinh An Nguyen, 2021. "Improving Irrigation Water Use Efficiency of Robusta Coffee ( Coffea canephora ) Production in Lam Dong Province, Vietnam," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    132. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    133. Qingxian An & Haoxun Chen & Jie Wu & Liang Liang, 2015. "Measuring slacks-based efficiency for commercial banks in China by using a two-stage DEA model with undesirable output," Annals of Operations Research, Springer, vol. 235(1), pages 13-35, December.
    134. Xuming Wang & Xianrui Yu & Xiaobing Yu, 2022. "Flood Disaster Risk Assessment Based on DEA Model in Southeast Asia along “The Belt and Road”," Sustainability, MDPI, vol. 14(20), pages 1-10, October.
    135. Anna Łozowicka & Bartłomiej Lach, 2022. "CI-DEA: A Way to Improve the Discriminatory Power of DEA—Using the Example of the Efficiency Assessment of the Digitalization in the Life of the Generation 50+," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    136. Zhang, Junfeng & Fang, Hong & Wang, Hongxia & Jia, Mingshun & Wu, Junjie & Fang, Siran, 2017. "Energy efficiency of airlines and its influencing factors: A comparison between China and the United States," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 1-8.
    137. Yalei Fei & Gongbing Bi & Wen Song & Yan Luo, 2019. "Measuring the Efficiency of Two-Stage Production Process in the Presence of Undesirable Outputs," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1343-1358, December.
    138. Wu, Hua-qing & Shi, Yan & Xia, Qiong & Zhu, Wei-dong, 2014. "Effectiveness of the policy of circular economy in China: A DEA-based analysis for the period of 11th five-year-plan," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 163-175.
    139. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    140. Tsolas, Ioannis E., 2011. "Performance assessment of mining operations using nonparametric production analysis: A bootstrapping approach in DEA," Resources Policy, Elsevier, vol. 36(2), pages 159-167, June.
    141. Honma, Satoshi, 2014. "Does international trade improve environmental efficiency? An application of a super slacks-based measurement of efficiency," MPRA Paper 56950, University Library of Munich, Germany.
    142. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    143. Nelson Amowine & Zhiqiang Ma & Mingxing Li & Zhixiang Zhou & Benjamin Azembila Asunka & James Amowine, 2019. "Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach," Energies, MDPI, vol. 12(20), pages 1-17, October.
    144. Wei Wang & Hualin Xie & Fucai Lu & Xinmin Zhang, 2017. "Measuring the Performance of Industrial Green Development Using a Non-Radial Directional Distance Function Approach: A Case Study of Jiangxi Province in China," Sustainability, MDPI, vol. 9(10), pages 1-17, September.
    145. Jie Wu & Xiang Lu & Dong Guo & Liang Liang, 2017. "Slacks-Based Efficiency Measurements with Undesirable Outputs in Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1005-1021, July.
    146. David Fang & Ming‐Ching Hsueh & Ching‐Ren Chiu, 2020. "An investigation of international hotel productivity considering quasifixed inputs and negative outputs," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 380-388, April.
    147. Kim, Kyunam & Kim, Yeonbae, 2012. "International comparison of industrial CO2 emission trends and the energy efficiency paradox utilizing production-based decomposition," Energy Economics, Elsevier, vol. 34(5), pages 1724-1741.
    148. Molinos-Senante, María & Hernández-Sancho, Francesc & Mocholí-Arce, Manuel & Sala-Garrido, Ramón, 2014. "Economic and environmental performance of wastewater treatment plants: Potential reductions in greenhouse gases emissions," Resource and Energy Economics, Elsevier, vol. 38(C), pages 125-140.
    149. Mahlberg, Bernhard & Sahoo, Biresh K., 2011. "Radial and non-radial decompositions of Luenberger productivity indicator with an illustrative application," International Journal of Production Economics, Elsevier, vol. 131(2), pages 721-726, June.
    150. George Halkos & Kleoniki Natalia Petrou, 2019. "Analysing the Energy Efficiency of EU Member States: The Potential of Energy Recovery from Waste in the Circular Economy," Energies, MDPI, vol. 12(19), pages 1-32, September.
    151. Lu, Ching-Cheng & Chiu, Yung-Ho & Shyu, Ming-Kuang & Lee, Jen-Hui, 2013. "Measuring CO2 emission efficiency in OECD countries: Application of the Hybrid Efficiency model," Economic Modelling, Elsevier, vol. 32(C), pages 130-135.
    152. Bin Lu & Ke Wang & Zhiqiang Xu, 2016. "China's regional energy efficiency: Results based on three-stage DEA model," CEEP-BIT Working Papers 89, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    153. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    154. Yin, Pengzhen & Sun, Jiasen & Chu, Junfei & Liang, Liang, 2016. "Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspectiveAuthor-Name: Wu, Jie," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1047-1062.
    155. Xie, Hualin & Wang, Wei & Yang, Zihui & Choi, Yongrok, 2016. "Measuring the sustainable performance of industrial land utilization in major industrial zones of China," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 207-219.
    156. Liang Chun Lu & Yung-ho Chiu & Shih-Yung Chiu & Tzu-Han Chang, 2022. "Do Forests help environmental development of Cities in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6602-6629, May.
    157. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    158. Bellenger, Moriah J. & Herlihy, Alan T., 2010. "Performance-based environmental index weights: Are all metrics created equal?," Ecological Economics, Elsevier, vol. 69(5), pages 1043-1050, March.
    159. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    160. Lozano, Sebastián & Gutiérrez, Ester, 2008. "Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions," Ecological Economics, Elsevier, vol. 66(4), pages 687-699, July.
    161. Zhigang Pei & Jiaming Chen & Jun Fang & Jiangpeng Fan & Zhilan Gong & Qingying Zheng, 2023. "The Impact of “Dual-Control” Regulations on the Green Total Factor Efficiency of Shaoxing’s Industrial Sector," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    162. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    163. Yu, Yantuan & Huang, Jianhuan & Zhang, Ning, 2019. "Modeling the eco-efficiency of Chinese prefecture-level cities with regional heterogeneities: A comparative perspective," Ecological Modelling, Elsevier, vol. 402(C), pages 1-17.
    164. Fang Zhang & Hong Fang & Junjie Wu & Damian Ward, 2016. "Environmental Efficiency Analysis of Listed Cement Enterprises in China," Sustainability, MDPI, vol. 8(5), pages 1-19, May.
    165. P. Zhou & B. Ang, 2009. "Comparing MCDA Aggregation Methods in Constructing Composite Indicators Using the Shannon-Spearman Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(1), pages 83-96, October.
    166. Marcin Wysokiński & Joanna Domagała & Arkadiusz Gromada & Magdalena Golonko & Paulina Trębska, 2020. "Economic and energy efficiency of agriculture," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(8), pages 355-364.
    167. Guo, Xiao-Dan & Zhu, Lei & Fan, Ying & Xie, Bai-Chen, 2011. "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, Elsevier, vol. 39(5), pages 2352-2360, May.
    168. Yu, Xiaohong & Xu, Haiyan & Lou, Wengao & Xu, Xun & Shi, Victor, 2023. "Examining energy eco-efficiency in China's logistics industry," International Journal of Production Economics, Elsevier, vol. 258(C).
    169. Yu, Shasha & Yuan, Xuanyu & Yao, Xinyan & Lei, Ming, 2022. "Carbon leakage and low-carbon performance: Heterogeneity of responsibility perspectives," Energy Policy, Elsevier, vol. 165(C).
    170. Chiu, Yung-Ho & Lee, Jen-Hui & Lu, Ching-Cheng & Shyu, Ming-Kuang & Luo, Zhengying, 2012. "The technology gap and efficiency measure in WEC countries: Application of the hybrid meta frontier model," Energy Policy, Elsevier, vol. 51(C), pages 349-357.

  131. Zhou, P. & Ang, B.W. & Poh, K.L., 2007. "A mathematical programming approach to constructing composite indicators," Ecological Economics, Elsevier, vol. 62(2), pages 291-297, April.

    Cited by:

    1. Hatefi, S.M. & Torabi, S.A., 2010. "A common weight MCDA-DEA approach to construct composite indicators," Ecological Economics, Elsevier, vol. 70(1), pages 114-120, November.
    2. Stéphane Blancard & Jean-François Hoarau, 2013. "A new sustainable human development indicator for small island developing states: A reappraisal from data envelopment analysis," Post-Print hal-01243423, HAL.
    3. P. Zhou & B. Ang & D. Zhou, 2010. "Weighting and Aggregation in Composite Indicator Construction: a Multiplicative Optimization Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 96(1), pages 169-181, March.
    4. Dovile Stumbriene & Ana S. Camanho & Audrone Jakaitiene, 2020. "The performance of education systems in the light of Europe 2020 strategy," Annals of Operations Research, Springer, vol. 288(2), pages 577-608, May.
    5. Sahoo, Biresh K. & Acharya, Debashis, 2010. "An alternative approach to monetary aggregation in DEA," European Journal of Operational Research, Elsevier, vol. 204(3), pages 672-682, August.
    6. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo, 2018. "OECD: One or Many? Ranking Countries with a Composite Well-Being Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 847-869, October.
    7. Sha, Zhiping, 2023. "The effect of globalisation, foreign direct investment, and natural resource rent on economic recovery: Evidence from G7 economies," Resources Policy, Elsevier, vol. 82(C).
    8. Eni Dardha & Nicky Rogge, 2020. "How's Life in Your Region? Measuring Regional Material Living Conditions, Quality of Life and Subjective Well-Being in OECD Countries Using a Robust, Conditional Benefit-of-the-Doubt Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 151(3), pages 1015-1073, October.
    9. Song, Chenxi & Li, Mingjia & Wen, Zhexi & He, Ya-Ling & Tao, Wen-Quan & Li, Yangzhe & Wei, Xiangyang & Yin, Xiaolan & Huang, Xing, 2014. "Research on energy efficiency evaluation based on indicators for industry sectors in China," Applied Energy, Elsevier, vol. 134(C), pages 550-562.
    10. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    11. Färe, Rolf & Karagiannis, Giannis, 2014. "Benefit-of-the-doubt aggregation and the diet problem," Omega, Elsevier, vol. 47(C), pages 33-35.
    12. De Witte, Kristof & Rogge, Nicky, 2009. "Accounting for exogenous influences in a benevolent performance evaluation of teachers," Working Papers 2009/15, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    13. Ruan, Shuai & Wan, Guofeng & Le, Xilin & Zhang, Shanshan & Yu, Chao, 2023. "Combining the role of the banking sector and natural resource utilization on green economic development: Evidence from China," Resources Policy, Elsevier, vol. 83(C).
    14. Verbunt, Pim & Rogge, Nicky, 2018. "Geometric composite indicators with compromise Benefit-of-the-Doubt weights," European Journal of Operational Research, Elsevier, vol. 264(1), pages 388-401.
    15. Bellenger, Moriah J. & Herlihy, Alan T., 2009. "An economic approach to environmental indices," Ecological Economics, Elsevier, vol. 68(8-9), pages 2216-2223, June.
    16. Nhemachena, Charles & Matchaya, Greenwell & Nhemachena, C. R. & Karuaihe, S. & Muchara, B. & Nhlengethwa, Sibusiso, 2018. "Measuring baseline agriculture-related sustainable development goals index for southern Africa," Papers published in Journals (Open Access), International Water Management Institute, pages 10(3):1-16..
    17. Jesús Peiró‐Palomino & Andrés J. Picazo‐Tadeo & Vicente Rios, 2020. "Well‐being in European regions: Does government quality matter?," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 555-582, June.
    18. Giménez, Víctor & Thieme, Claudio & Prior, Diego & Tortosa-Ausina, Emili, 2022. "Evaluation and determinants of preschool effectiveness in Chile," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    19. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    20. Gulati, Rachita & Kattumuri, Ruth & Kumar, Sunil, 2020. "A non-parametric index of corporate governance in the banking industry: an application to Indian data," LSE Research Online Documents on Economics 100449, London School of Economics and Political Science, LSE Library.
    21. Diogo Ferraz & Enzo B. Mariano & Daisy Rebelatto & Dominik Hartmann, 2020. "Linking Human Development and the Financial Responsibility of Regions: Combined Index Proposals Using Methods from Data Envelopment Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(2), pages 439-478, July.
    22. Ubaid Illahi & Mohammad Shafi Mir, 2021. "Sustainable Transportation Attainment Index: multivariate analysis of indicators with an application to selected states and National Capital Territory (NCT) of India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3578-3622, March.
    23. Su, Weihua & Chen, Sibo & Zhang, Chonghui & Li, Kevin W., 2023. "A subgroup dominance-based benefit of the doubt method for addressing rank reversals: A case study of the human development index in Europe," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1299-1317.
    24. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2013. "An evaluation framework for oil import security based on the supply chain with a case study focused on China," Energy Economics, Elsevier, vol. 38(C), pages 87-95.
    25. Mutyasira, Vine & Hoag, Dana & Pendell, Dustin & Manning, Dale T. & Berhe, Melaku, 2018. "Assessing the relative sustainability of smallholder farming systems in Ethiopian highlands," Agricultural Systems, Elsevier, vol. 167(C), pages 83-91.
    26. José Antonio, Palomero-González & Vicent, Almenar-Llongo & Ramón, Fuentes-Pascual, 2022. "A composite indicator index as a proxy for measuring the quality of water supply as perceived by users for urban water services," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    27. Ngobeni, Victor & Breitenbach, Marthinus C, 2021. "Production and Scale Efficiency of South African Water Utilities: The Case of Water Boards," MPRA Paper 106242, University Library of Munich, Germany.
    28. Zhang, L.P. & Zhou, P., 2018. "A non-compensatory composite indicator approach to assessing low-carbon performance," European Journal of Operational Research, Elsevier, vol. 270(1), pages 352-361.
    29. Karagiannis, Giannis & Knox Lovell, C.A., 2016. "Productivity measurement in radial DEA models with a single constant input," European Journal of Operational Research, Elsevier, vol. 251(1), pages 323-328.
    30. Yiannis Smirlis, 2020. "A trichotomic segmentation approach for estimating composite indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(2), pages 393-410, July.
    31. A. Zanella & A. Camanho & T. Dias, 2015. "The assessment of cities’ livability integrating human wellbeing and environmental impact," Annals of Operations Research, Springer, vol. 226(1), pages 695-726, March.
    32. Ji, Qiang & Zhang, Hai-Ying & Zhang, Dayong, 2019. "The impact of OPEC on East Asian oil import security: A multidimensional analysis," Energy Policy, Elsevier, vol. 126(C), pages 99-107.
    33. Ernest Reig-Martínez, 2013. "Social and Economic Wellbeing in Europe and the Mediterranean Basin: Building an Enlarged Human Development Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 111(2), pages 527-547, April.
    34. Juan Carlos Martín & Alessandro Indelicato, 2022. "A DEA MCDM Approach Applied to ESS8 Dataset for Measuring Immigration and Refugees Citizens’ Openness," Journal of International Migration and Integration, Springer, vol. 23(4), pages 1941-1961, December.
    35. Bruna, Maria Giuseppina & Loprevite, Salvatore & Raucci, Domenico & Ricca, Bruno & Rupo, Daniela, 2022. "Investigating the marginal impact of ESG results on corporate financial performance," Finance Research Letters, Elsevier, vol. 47(PA).
    36. Stergios Athanassoglou, 2015. "Revisiting Worst-case DEA for Composite Indicators," Working Papers 2015.13, Fondazione Eni Enrico Mattei.
    37. Fusco, Elisa & Maggi, Bernardo & Rizzuto, Livia, 2022. "Alternative indicators for the evaluation of renewables in Europe: An efficiency approach," Renewable Energy, Elsevier, vol. 190(C), pages 48-65.
    38. Panagiotis Ravanos & Giannis Karagiannis, 2022. "On VEA, Production Trade-offs and Weight Restrictions," Discussion Paper Series 2022_04, Department of Economics, University of Macedonia, revised Jun 2022.
    39. Francesco Vidoli & Elisa Fusco & Claudio Mazziotta, 2015. "Non-compensability in Composite Indicators: A Robust Directional Frontier Method," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(3), pages 635-652, July.
    40. Claire GOAVEC & Jean-François HOARAU, 2015. "Vulnérabilité Économique Structurelle Et Dépendance Touristique : Quels Enseignements Pour Les Petites Économies Insulaires En Développement," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 42, pages 157-188.
    41. Ju, Keyi & Su, Bin & Zhou, Dequn & Zhou, P. & Zhang, Yuqiang, 2015. "Oil price crisis response: Capability assessment and key indicator identification," Energy, Elsevier, vol. 93(P2), pages 1353-1360.
    42. Oliveira, Renata & Zanella, Andreia & Camanho, Ana S., 2019. "The assessment of corporate social responsibility: The construction of an industry ranking and identification of potential for improvement," European Journal of Operational Research, Elsevier, vol. 278(2), pages 498-513.
    43. Jorge Guardiola & Andrés J. Picazo-Tadeo, 2013. "Weighting life domains with Data Envelopment Analysis," Working Papers 1311, Department of Applied Economics II, Universidad de Valencia.
    44. Annalina Sarra & Eugenia Nissi, 2020. "A Spatial Composite Indicator for Human and Ecosystem Well-Being in the Italian Urban Areas," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 353-377, April.
    45. Magdalena Ligus & Piotr Peternek, 2021. "The Sustainable Energy Development Index—An Application for European Union Member States," Energies, MDPI, vol. 14(4), pages 1-32, February.
    46. Stéphane Blancard & Maximin Bonnet & Jean-François Hoarau, 2020. "The specific role of agriculture for economic vulnerability of small island spaces," Working Papers hal-02441237, HAL.
    47. H. K. Millington & J. E. Lovell & C. A. K. Lovell, 2013. "Using Fieldwork, GIS and DEA to Guide Management of Urban Stream Health," CEPA Working Papers Series WP072013, School of Economics, University of Queensland, Australia.
    48. De Jaeger, Simon & Rogge, Nicky, 2014. "Cost-efficiency in packaging waste management: The case of Belgium," Resources, Conservation & Recycling, Elsevier, vol. 85(C), pages 106-115.
    49. Tom Puyenbroeck, 2018. "On the Output Orientation of the Benefit-of-the-Doubt-Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(2), pages 415-431, September.
    50. Fu-Chiang Yang & Rui-Hsin Kao & Yi-Tui Chen & Yueh-Fei Ho & Cheng-Chung Cho & Shi-Wei Huang, 2018. "A Common Weight Approach to Construct Composite Indicators: The Evaluation of Fourteen Emerging Markets," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(2), pages 463-479, June.
    51. Milorad Kovacevic, 2010. "Review of HDI Critiques and Potential Improvements," Human Development Research Papers (2009 to present) HDRP-2010-33, Human Development Report Office (HDRO), United Nations Development Programme (UNDP).
    52. Franciely Velozo Aragão & Daiane Maria de Genaro Chiroli & Fernanda Cavicchioli Zola & Emanuely Velozo Aragão & Luis Henrique Nogueira Marinho & Ana Lidia Cascales Correa & João Carlos Colmenero, 2023. "Smart Cities Maturity Model—A Multicriteria Approach," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    53. Mónica Domínguez-Serrano & Francisco Blancas, 2011. "A Gender Wellbeing Composite Indicator: The Best-Worst Global Evaluation Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 102(3), pages 477-496, July.
    54. Gobbo, Simone Cristina de Oliveira & Mariano, Enzo Barberio & Gobbo Jr., José Alcides, 2021. "Combining social network and data envelopment analysis: A proposal for a Selection Employment Contracts Effectiveness index in healthcare network applications," Omega, Elsevier, vol. 103(C).
    55. Claire Goavec & Jean-François Hoarau, 2015. "Structural economic vulnerability and tourism dependence: new assessment for small island developing economies [Vulnérabilité économique structurelle et dépendance touristique : quels enseignements," Post-Print hal-01454720, HAL.
    56. Millington, H.K. & Lovell, J.E. & Lovell, C.A.K., 2015. "A framework for guiding the management of urban stream health," Ecological Economics, Elsevier, vol. 109(C), pages 222-233.
    57. Kądziołka Kinga, 2021. "Ranking and classification of cryptocurrency exchanges using the methods of a multidimensional comparative analysis," Folia Oeconomica Stetinensia, Sciendo, vol. 21(2), pages 38-56, December.
    58. Mariano, Enzo Barberio & Sobreiro, Vinicius Amorim & Rebelatto, Daisy Aparecida do Nascimento, 2015. "Human development and data envelopment analysis: A structured literature review," Omega, Elsevier, vol. 54(C), pages 33-49.
    59. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo, 2018. "Assessing well-being in European regions. Does government quality matter?," Working Papers 2018/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    60. Cao, Feifei, 2023. "Digital financial innovation and renewable electrification: A step toward zero carbon nexus," Renewable Energy, Elsevier, vol. 215(C).
    61. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    62. Charles Nhemachena & Greenwell Matchaya & Charity R. Nhemachena & Selma Karuaihe & Binganidzo Muchara & Sibusiso Nhlengethwa, 2018. "Measuring Baseline Agriculture-Related Sustainable Development Goals Index for Southern Africa," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    63. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
    64. Rogge, Nicky, 2009. "Granting teachers the 'benefit of the doubt' in performance evaluations," Working Papers 2009/17, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    65. Genave, Anna & Blancard, Stéphane & Garabedian, Sabine, 2020. "An assessment of energy vulnerability in Small Island Developing States," Ecological Economics, Elsevier, vol. 171(C).
    66. Byeong U. Park & Léopold Simar & Valentin Zelenyuk, 2013. "Non-Parametric Approach to Dynamic Time Series Discrete Choice Models," CEPA Working Papers Series WP092013, School of Economics, University of Queensland, Australia.
    67. Danijela Despotovic & Slobodan Cvetanovic & Vladimir Nedic & Milan Despotovic, 2019. "Social Aspects of Sustainable Competitiveness in the Selected European Countries in the Period 2012–2015," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(2), pages 841-860, January.
    68. Stéphane Blancard & Jean-François Hoarau, 2011. "Optimizing the new formulation of the United Nations' human development index: An empirical view from data envelopment analysis," Economics Bulletin, AccessEcon, vol. 31(1), pages 989-1003.
    69. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    70. Yongjun Shen & Elke Hermans & Tom Brijs & Geert Wets, 2013. "Data Envelopment Analysis for Composite Indicators: A Multiple Layer Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(2), pages 739-756, November.
    71. Tihana Škrinjarić, 2021. "Ranking Environmental Aspects of Sustainable Tourism: Case of Selected European Countries," Sustainability, MDPI, vol. 13(10), pages 1-19, May.
    72. Enzo Barberio Mariano & Diogo Ferraz & Simone Cristina Oliveira Gobbo, 2021. "The Human Development Index with Multiple Data Envelopment Analysis Approaches: A Comparative Evaluation Using Social Network Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(2), pages 443-500, September.
    73. Michalis Doumpos & Alexis Guyot & Emilios Galariotis & Constantin Zopounidis, 2020. "Assessing the quality of life in French municipalities: a multidimensional approach," Annals of Operations Research, Springer, vol. 293(2), pages 789-808, October.
    74. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations," Energy Policy, Elsevier, vol. 108(C), pages 163-177.
    75. Panos Kanavos & Olivier Wouters & Jonathan Cylus & Irene Papanicolas & Peter C. Smith, 2017. "Using Data Envelopment Analysis to Address the Challenges of Comparing Health System Efficiency," Global Policy, London School of Economics and Political Science, vol. 8(s2), pages 60-68, March.
    76. Yelin Fu & Kong Xiangtianrui & Hao Luo & Lean Yu, 2020. "Constructing Composite Indicators with Collective Choice and Interval-Valued TOPSIS: The Case of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 117-135, November.
    77. Chrysovalantis Gaganis & Fotios Pasiouras & Menelaos Tasiou & Constantin Zopounidis, 2021. "CISEF: A composite index of social, environmental and financial performance," Post-Print hal-03113006, HAL.
    78. Färe, Rolf & Karagiannis, Giannis & Hasannasab, Maryam & Margaritis, Dimitris, 2019. "A benefit-of-the-doubt model with reverse indicators," European Journal of Operational Research, Elsevier, vol. 278(2), pages 394-400.
    79. Jonas Damidavičius & Marija Burinskienė & Jurgita Antuchevičienė, 2020. "Assessing Sustainable Mobility Measures Applying Multicriteria Decision Making Methods," Sustainability, MDPI, vol. 12(15), pages 1-15, July.
    80. Yang Ding & Yelin Fu & Kin Keung Lai & W. K. John Leung, 2018. "Using Ranked Weights and Acceptability Analysis to Construct Composite Indicators: A Case Study of Regional Sustainable Society Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 871-885, October.
    81. Reisi Marzieh & Nadoushan Mozhgan Ahmadi & Aye Lu, 2019. "Local walkability index: assessing built environment influence on walking," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 46(46), pages 7-21, December.
    82. Breitenbach, Marthinus C & Ngobeni, Victor & Aye, Goodness C, 2020. "Global Healthcare Resource Efficiency in the Management of COVID-19 Death and Infection Prevalence Rates," MPRA Paper 104814, University Library of Munich, Germany.
    83. Kristof Witte & Nicky Rogge, 2010. "To publish or not to publish? On the aggregation and drivers of research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 657-680, December.
    84. Francesca Giambona & Erasmo Vassallo, 2013. "Composite Indicator of Financial Development in a Benefit-of-Doubt Approach," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 42(2), pages 171-202, July.
    85. Lan, Jing & Khan, Sufyan Ullah & Sadiq, Muhammad & Chien, Fengsheng & Baloch, Zulfiqar Ali, 2022. "Evaluating energy poverty and its effects using multi-dimensional based DEA-like mathematical composite indicator approach: Findings from Asia," Energy Policy, Elsevier, vol. 165(C).
    86. Tianjiao Wang & Yelin Fu, 2020. "Constructing Composite Indicators with Individual Judgements and Best–Worst Method: An Illustration of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 1-14, May.
    87. Põldaru, Reet & Roots, Jüri, 2014. "A PCA–DEA approach to measure the quality of life in Estonian counties," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 65-73.
    88. Chao Shi & Kenneth C. Land, 2021. "The Data Envelopment Analysis and Equal Weights/Minimax Methods of Composite Social Indicator Construction: a Methodological Study of Data Sensitivity and Robustness," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(4), pages 1689-1716, August.
    89. Katarzyna Łukasiewicz & Piotr Pietrzak & Jakub Kraciuk & Elżbieta Kacperska & Małgorzata Cieciora, 2022. "Sustainable Energy Development—A Systematic Literature Review," Energies, MDPI, vol. 15(21), pages 1-18, November.
    90. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    91. Delu Wang & Xun Xue & Yadong Wang, 2021. "Overcapacity Risk of China’s Coal Power Industry: A Comprehensive Assessment and Driving Factors," Sustainability, MDPI, vol. 13(3), pages 1-21, January.
    92. Chen, Po-Chi & Yu, Ming-Miin & Shih, Jou-Chen & Chang, Ching-Cheng & Hsu, Shih-Hsun, 2019. "A reassessment of the Global Food Security Index by using a hierarchical data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 272(2), pages 687-698.
    93. Gunnarsdottir, I. & Davidsdottir, B. & Worrell, E. & Sigurgeirsdottir, S., 2020. "Review of indicators for sustainable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    94. L. P. Zhang & P. Zhou, 2019. "Reassessment of global climate risk: non-compensatory or compensatory?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 271-287, January.
    95. Jason West, 2015. "Capital valuation and sustainability: a data programming approach," Review of Quantitative Finance and Accounting, Springer, vol. 45(3), pages 591-608, October.
    96. Bruno Ricca & Massimiliano Ferrara & Salvatore Loprevite, 2023. "Searching for an effective accounting-based score of firm performance: a comparative study between different synthesis techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3575-3602, August.
    97. Jorge Guardiola & Andrés Picazo-Tadeo, 2014. "Building Weighted-Domain Composite Indices of Life Satisfaction with Data Envelopment Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(1), pages 257-274, May.
    98. Francesca Giambona & Erasmo Vassallo, 2014. "Composite Indicator of Social Inclusion for European Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 269-293, March.
    99. Muhammad Akram Shahzad & Madiha Riaz, 2022. "Assessing the Impact of Green Finance on Environmental Sustainability," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(3), pages 196-220, September.
    100. Cheng Peng & Xunbo Wu & Yelin Fu & Kin Keung Lai, 2017. "Alternative approaches to constructing composite indicators: an application to construct a Sustainable Energy Index for APEC economies," Operational Research, Springer, vol. 17(3), pages 747-759, October.
    101. Francisco Guijarro, 2019. "A Multicriteria Model for the Assessment of Countries’ Environmental Performance," IJERPH, MDPI, vol. 16(16), pages 1-15, August.
    102. De Witte, Kristof & Rogge, Nicky, 2011. "Accounting for exogenous influences in performance evaluations of teachers," Economics of Education Review, Elsevier, vol. 30(4), pages 641-653, August.
    103. Mergoni, Anna & D'Inverno, Giovanna & Carosi, Laura, 2022. "A composite indicator for measuring the environmental performance of water, wastewater, and solid waste utilities," Utilities Policy, Elsevier, vol. 74(C).
    104. Rogge, Nicky, 2018. "Composite indicators as generalized benefit-of-the-doubt weighted averages," European Journal of Operational Research, Elsevier, vol. 267(1), pages 381-392.
    105. Wang, H., 2015. "A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator," Energy, Elsevier, vol. 80(C), pages 114-122.
    106. Gong, Xu & Sun, Yi & Du, Zhili, 2022. "Geopolitical risk and China's oil security," Energy Policy, Elsevier, vol. 163(C).
    107. Rita Matos & Diogo Ferreira & Maria Isabel Pedro, 2021. "Economic Analysis of Portuguese Public Hospitals Through the Construction of Quality, Efficiency, Access, and Financial Related Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 361-392, August.
    108. Fátima Pérez & Laura Delgado-Antequera & Trinidad Gómez, 2019. "A Two-Phase Method to Assess the Sustainability of Water Companies," Energies, MDPI, vol. 12(13), pages 1-19, July.
    109. Hussein Sayed & Ramadan Hamed & Mohamed Ramadan & Samaa Hosny, 2015. "Using Meta-goal Programming for a New Human Development Indicator with Distinguishable Country Ranks," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(1), pages 1-27, August.
    110. Mohsin, M. & Zhou, P. & Iqbal, N. & Shah, S.A.A., 2018. "Assessing oil supply security of South Asia," Energy, Elsevier, vol. 155(C), pages 438-447.
    111. Ernest Reig, 2012. "Building an Enlarged Human Development Indicator: Europe and the Southern Mediterranean Basin," Working Papers 1203, Department of Applied Economics II, Universidad de Valencia.
    112. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    113. Bellenger, Moriah J. & Herlihy, Alan T., 2010. "Performance-based environmental index weights: Are all metrics created equal?," Ecological Economics, Elsevier, vol. 69(5), pages 1043-1050, March.
    114. Halkos, George & Tzeremes, Nickolaos, 2011. "Towards a culture of environmental efficiency: An application of conditional partial nonparametric frontiers," MPRA Paper 28690, University Library of Munich, Germany.
    115. Samira El Gibari & Trinidad Gómez & Francisco Ruiz, 2019. "Building composite indicators using multicriteria methods: a review," Journal of Business Economics, Springer, vol. 89(1), pages 1-24, February.
    116. Hussein Sayed & Ramadan Hamed & Samaa Hazem Hosny & Alyaa Hegazy Abdelhamid, 2018. "Avoiding Ranking Contradictions in Human Development Index Using Goal Programming," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(2), pages 405-442, July.
    117. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    118. Wang, H. & Zhou, P. & Wang, Qunwei, 2016. "Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach," Energy, Elsevier, vol. 101(C), pages 218-228.
    119. Kuosmanen, Timo & Kuosmanen, Natalia, 2009. "How not to measure sustainable value (and how one might)," Ecological Economics, Elsevier, vol. 69(2), pages 235-243, December.
    120. Stergios Athanassoglou, 2016. "Revisiting Worst-Case DEA for Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1259-1272, September.
    121. P. Zhou & B. Ang, 2009. "Comparing MCDA Aggregation Methods in Constructing Composite Indicators Using the Shannon-Spearman Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(1), pages 83-96, October.
    122. Susana Garrido Azevedo & Helena Carvalho & Luís M. Ferreira & João C. O. Matias, 2017. "A proposed framework to assess upstream supply chain sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2253-2273, December.

  132. Zhou, Peng & Fan, Liwei, 2007. "A note on multi-criteria ABC inventory classification using weighted linear optimization," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1488-1491, November.

    Cited by:

    1. Park, Jaehun & Lee, Byung Kwon, 2021. "An opinion-driven decision-support framework for benchmarking hotel service," Omega, Elsevier, vol. 103(C).
    2. Tsai, Chi-Yang & Yeh, Szu-Wei, 2008. "A multiple objective particle swarm optimization approach for inventory classification," International Journal of Production Economics, Elsevier, vol. 114(2), pages 656-666, August.
    3. Molenaers, An & Baets, Herman & Pintelon, Liliane & Waeyenbergh, Geert, 2012. "Criticality classification of spare parts: A case study," International Journal of Production Economics, Elsevier, vol. 140(2), pages 570-578.
    4. Giannis Karagiannis, 2017. "On aggregate composite indicators," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(7), pages 741-746, July.
    5. Sheikh-Zadeh, Alireza & Rossetti, Manuel D. & Scott, Marc A., 2021. "Performance-based inventory classification methods for large-Scale multi-echelon replenishment systems," Omega, Elsevier, vol. 101(C).
    6. Fatih Yiğit & Şakir Esnaf, 2021. "A new Fuzzy C-Means and AHP-based three-phased approach for multiple criteria ABC inventory classification," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1517-1528, August.
    7. Miller, Harvey J. & Witlox, Frank & Tribby, Calvin P., 2013. "Developing context-sensitive livability indicators for transportation planning: a measurement framework," Journal of Transport Geography, Elsevier, vol. 26(C), pages 51-64.
    8. Sheikh-Zadeh, Alireza & Rossetti, Manuel D., 2020. "Classification methods for problem size reduction in spare part provisioning," International Journal of Production Economics, Elsevier, vol. 219(C), pages 99-114.
    9. Zhang, Zeyu & Li, Kevin W. & Guo, Xiaolei & Huang, Jun, 2020. "A probability approach to multiple criteria ABC analysis with misclassification tolerance," International Journal of Production Economics, Elsevier, vol. 229(C).
    10. Lolli, F. & Ishizaka, A. & Gamberini, R., 2014. "New AHP-based approaches for multi-criteria inventory classification," International Journal of Production Economics, Elsevier, vol. 156(C), pages 62-74.
    11. Karagiannis, Giannis & Knox Lovell, C.A., 2016. "Productivity measurement in radial DEA models with a single constant input," European Journal of Operational Research, Elsevier, vol. 251(1), pages 323-328.
    12. Siamak Kheybari & S. Ali Naji & Fariba Mahdi Rezaie & Reza Salehpour, 2019. "ABC classification according to Pareto’s principle: a hybrid methodology," OPSEARCH, Springer;Operational Research Society of India, vol. 56(2), pages 539-562, June.
    13. Hu, Qiwei & Chakhar, Salem & Siraj, Sajid & Labib, Ashraf, 2017. "Spare parts classification in industrial manufacturing using the dominance-based rough set approach," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1136-1163.
    14. Sisi Wu & Yelin Fu & K. K. Lai & W. K. John Leung, 2018. "A Weighted Least-Square Dissimilarity Approach for Multiple Criteria ABC Inventory Classification," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(04), pages 1-12, August.
    15. Jafar Rezaei & Negin Salimi, 2015. "Optimal ABC inventory classification using interval programming," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(11), pages 1944-1952, August.
    16. Ishizaka, Alessio & Lolli, Francesco & Balugani, Elia & Cavallieri, Rita & Gamberini, Rita, 2018. "DEASort: Assigning items with data envelopment analysis in ABC classes," International Journal of Production Economics, Elsevier, vol. 199(C), pages 7-15.
    17. Subhadip Sarkar, 2023. "ABC classification using extended R-model, SVM and Lorenz curve," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1433-1455, September.
    18. Hadi-Vencheh, A., 2010. "An improvement to multiple criteria ABC inventory classification," European Journal of Operational Research, Elsevier, vol. 201(3), pages 962-965, March.
    19. Byeong U. Park & Léopold Simar & Valentin Zelenyuk, 2013. "Non-Parametric Approach to Dynamic Time Series Discrete Choice Models," CEPA Working Papers Series WP092013, School of Economics, University of Queensland, Australia.
    20. Hu, Qiwei & Boylan, John E. & Chen, Huijing & Labib, Ashraf, 2018. "OR in spare parts management: A review," European Journal of Operational Research, Elsevier, vol. 266(2), pages 395-414.
    21. Chodak, Grzegorz, 2010. "ABC Analysis in an Internet Shop: A New Set of Criteria," MPRA Paper 26280, University Library of Munich, Germany.
    22. Mohammaditabar, Davood & Hassan Ghodsypour, Seyed & O'Brien, Chris, 2012. "Inventory control system design by integrating inventory classification and policy selection," International Journal of Production Economics, Elsevier, vol. 140(2), pages 655-659.
    23. Fan Liu & Ning Ma, 2019. "Multicriteria ABC Inventory Classification Using the Social Choice Theory," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
    24. Hadhami Kaabi & Khaled Jabeur & Talel Ladhari, 2018. "A Genetic Algorithm-Based Classification Approach for Multicriteria ABC Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1805-1837, November.
    25. Feyzan Arikan & Senay Citak, 2017. "Multiple Criteria Inventory Classification in an Electronics Firm," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 315-331, March.
    26. Alessio Ishizaka & Maynard Gordon, 2017. "MACBETHSort: a multiple criteria decision aid procedure for sorting strategic products," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(1), pages 53-61, January.
    27. Bacchetti, A. & Plebani, F. & Saccani, N. & Syntetos, A.A., 2013. "Empirically-driven hierarchical classification of stock keeping units," International Journal of Production Economics, Elsevier, vol. 143(2), pages 263-274.
    28. Liu, Jiapeng & Liao, Xiuwu & Zhao, Wenhong & Yang, Na, 2016. "A classification approach based on the outranking model for multiple criteria ABC analysis," Omega, Elsevier, vol. 61(C), pages 19-34.

  133. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Slacks-based efficiency measures for modeling environmental performance," Ecological Economics, Elsevier, vol. 60(1), pages 111-118, November.

    Cited by:

    1. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    2. Feng Dong & Ruyin Long & Hong Chen & Xiaohui Li & Qingliang Yang, 2013. "Factors Affecting Regional Per-Capita Carbon Emissions in China Based on an LMDI Factor Decomposition Model," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-10, December.
    3. Jin, Jingliang & Zhou, Dequn & Zhou, Peng, 2014. "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, Elsevier, vol. 38(C), pages 80-86.
    4. Khalid Mehmood & Yaser Iftikhar & Shouming Chen & Shaheera Amin & Alia Manzoor & Jinlong Pan, 2020. "Analysis of Inter-Temporal Change in the Energy and CO 2 Emissions Efficiency of Economies: A Two Divisional Network DEA Approach," Energies, MDPI, vol. 13(13), pages 1-17, June.
    5. Yigang Wei & Yan Li & Meiyu Wu & Yingbo Li, 2020. "Progressing sustainable development of “the Belt and Road countries”: Estimating environmental efficiency based on the Super‐slack‐based measure model," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 521-539, July.
    6. Mahlberg, Bernhard & Luptacik, Mikulas & Sahoo, Biresh K., 2011. "Examining the drivers of total factor productivity change with an illustrative example of 14 EU countries," Ecological Economics, Elsevier, vol. 72(C), pages 60-69.
    7. Zhou, P. & Ang, B.W., 2008. "Linear programming models for measuring economy-wide energy efficiency performance," Energy Policy, Elsevier, vol. 36(8), pages 2901-2906, August.
    8. Levent Kutlu, 2020. "Greenhouse Gas Emission Efficiencies of World Countries," IJERPH, MDPI, vol. 17(23), pages 1-11, November.
    9. Zhou, Guanghui & Chung, William & Zhang, Xiliang, 2013. "A study of carbon dioxide emissions performance of China's transport sector," Energy, Elsevier, vol. 50(C), pages 302-314.
    10. Chang, Young-Tae & Zhang, Ning & Danao, Denise & Zhang, Nan, 2013. "Environmental efficiency analysis of transportation system in China: A non-radial DEA approach," Energy Policy, Elsevier, vol. 58(C), pages 277-283.
    11. Andreas Dellnitz & Madjid Tavana & Rajiv Banker, 2023. "A novel median-based optimization model for eco-efficiency assessment in data envelopment analysis," Annals of Operations Research, Springer, vol. 322(2), pages 661-690, March.
    12. Ramanathan, Ramakrishnan & Ramanathan, Usha & Bentley, Yongmei, 2018. "The debate on flexibility of environmental regulations, innovation capabilities and financial performance – A novel use of DEA," Omega, Elsevier, vol. 75(C), pages 131-138.
    13. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Hsu, Shih-Hsun & Managi, Shunsuke, 2015. "The enhanced Russell-based directional distance measure with undesirable outputs: Numerical example considering CO2 emissions," Omega, Elsevier, vol. 53(C), pages 30-40.
    14. Kassoum Ayouba & Jean-Philippe Boussemart & Raluca Parvulescu, 2023. "Measuring CO2 emission reduction potential using a cost approach," Working Papers 2023-EQM-02, IESEG School of Management.
    15. Bi, Gong-Bing & Song, Wen & Zhou, P. & Liang, Liang, 2014. "Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model," Energy Policy, Elsevier, vol. 66(C), pages 537-546.
    16. Na, Joon-Ho & Choi, A-Young & Ji, Jianhua & Zhang, Dali, 2017. "Environmental efficiency analysis of Chinese container ports with CO2 emissions: An inseparable input-output SBM model," Journal of Transport Geography, Elsevier, vol. 65(C), pages 13-24.
    17. Ke Wang & Xian Zhang & Yi-Ming Wei & Shiwei Yu, 2011. "Regional allocation of CO2 emissions allowance over provinces in China by 2020," CEEP-BIT Working Papers 18, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    18. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali, 2015. "A new slacks-based measure of Malmquist–Luenberger index in the presence of undesirable outputs," Omega, Elsevier, vol. 51(C), pages 29-37.
    19. Wang, Jian & Lv, Kangjuan & Bian, Yiwen & Cheng, Yu, 2017. "Energy efficiency and marginal carbon dioxide emission abatement cost in urban China," Energy Policy, Elsevier, vol. 105(C), pages 246-255.
    20. Li, Tao & Yang, Wenyue & Zhang, Haoran & Cao, Xiaoshu, 2016. "Evaluating the impact of transport investment on the efficiency of regional integrated transport systems in China," Transport Policy, Elsevier, vol. 45(C), pages 66-76.
    21. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    22. Roberto Gómez-Calvet & David Conesa & Ana Rosa Gómez-Calvet & Emili Tortosa-Ausina, 2013. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Working Papers 2013/17, Economics Department, Universitat Jaume I, Castellón (Spain).
    23. Rashidi, Kamran & Farzipoor Saen, Reza, 2015. "Measuring eco-efficiency based on green indicators and potentials in energy saving and undesirable output abatement," Energy Economics, Elsevier, vol. 50(C), pages 18-26.
    24. Shiyi Chen & Shujian Zhang, 2014. "Large-Scale Land Use for Construction and Energy Consumption after the New Millennium with Their Impact on Total-Factor Efficiency Change in China’s Regional Economy," Energies, MDPI, vol. 7(4), pages 1-18, March.
    25. Noor Ramli & Susila Munisamy & Behrouz Arabi, 2013. "Scale directional distance function and its application to the measurement of eco-efficiency in the manufacturing sector," Annals of Operations Research, Springer, vol. 211(1), pages 381-398, December.
    26. Amir Homayoun Sarfaraz & Amir Karbassi Yazdi & Thomas Hanne & Peter Fernandes Wanke & Raheleh Sadat Hosseini, 2023. "Assessing repair and maintenance efficiency for water suppliers: a novel hybrid USBM-FIS framework," Operations Management Research, Springer, vol. 16(3), pages 1321-1342, September.
    27. Sun, Jiasen & Yuan, Yang & Yang, Rui & Ji, Xiang & Wu, Jie, 2017. "Performance evaluation of Chinese port enterprises under significant environmental concerns: An extended DEA-based analysis," Transport Policy, Elsevier, vol. 60(C), pages 75-86.
    28. Houshyar, Ehsan & Azadi, Hossein & Almassi, Morteza & Sheikh Davoodi, Mohammad Javad & Witlox, Frank, 2012. "Sustainable and efficient energy consumption of corn production in Southwest Iran: Combination of multi-fuzzy and DEA modeling," Energy, Elsevier, vol. 44(1), pages 672-681.
    29. Valadkhani, Abbas & Roshdi, Israfil & Smyth, Russell, 2016. "A multiplicative environmental DEA approach to measure efficiency changes in the world's major polluters," Energy Economics, Elsevier, vol. 54(C), pages 363-375.
    30. Lozano, Sebastián & Iribarren, Diego & Moreira, María Teresa & Feijoo, Gumersindo, 2010. "Environmental impact efficiency in mussel cultivation," Resources, Conservation & Recycling, Elsevier, vol. 54(12), pages 1269-1277.
    31. Xiang Liu & Jia Liu, 2016. "Measurement of Low Carbon Economy Efficiency with a Three-Stage Data Envelopment Analysis: A Comparison of the Largest Twenty CO 2 Emitting Countries," IJERPH, MDPI, vol. 13(11), pages 1-14, November.
    32. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Managi, Shunsuke, 2014. "Non-Radial Directional Performance Measurement with Undesirable Outputs," MPRA Paper 57189, University Library of Munich, Germany.
    33. Xu Wang & Liyan Han & Libo Yin, 2016. "Environmental Efficiency and Its Determinants for Manufacturing in China," Sustainability, MDPI, vol. 9(1), pages 1-18, December.
    34. Guo, Xiaoying & Lu, Ching-Cheng & Lee, Jen-Hui & Chiu, Yung-Ho, 2017. "Applying the dynamic DEA model to evaluate the energy efficiency of OECD countries and China," Energy, Elsevier, vol. 134(C), pages 392-399.
    35. Yu, Ming-Miin, 2010. "Assessment of airport performance using the SBM-NDEA model," Omega, Elsevier, vol. 38(6), pages 440-452, December.
    36. Vaninsky, Alexander, 2010. "Prospective national and regional environmental performance: Boundary estimations using a combined data envelopment – stochastic frontier analysis approach," Energy, Elsevier, vol. 35(9), pages 3657-3665.
    37. Nick Johnstone & Shunsuke Managi & Miguel Cárdenas Rodríguez & Ivan Haščič & Hidemichi Fujii & Martin Souchier, 2016. "Environmental Policy Design, Innovation And Efficiency Gains In Electricity Generation," OECD Environment Working Papers 104, OECD Publishing.
    38. Ping Wang & Bangzhu Zhu & Xueping Tao & Rui Xie, 2017. "Measuring regional energy efficiencies in China: a meta-frontier SBM-Undesirable approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 793-809, January.
    39. Wang, Qunwei & Zhou, Peng & Zhou, Dequn, 2012. "Efficiency measurement with carbon dioxide emissions: The case of China," Applied Energy, Elsevier, vol. 90(1), pages 161-166.
    40. Runar Brännlund & Amin Karimu, 2018. "Convergence in global environmental performance: assessing heterogeneity," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 503-526, July.
    41. Sueyoshi, Toshiyuki & Goto, Mika & Ueno, Takahiro, 2010. "Performance analysis of US coal-fired power plants by measuring three DEA efficiencies," Energy Policy, Elsevier, vol. 38(4), pages 1675-1688, April.
    42. Ching-Cheng Lu & Liang-Chun Lu, 2019. "Evaluating the energy efficiency of European Union countries: The dynamic data envelopment analysis," Energy & Environment, , vol. 30(1), pages 27-43, February.
    43. Zhou, P. & Ang, B.W. & Poh, K.L., 2007. "A mathematical programming approach to constructing composite indicators," Ecological Economics, Elsevier, vol. 62(2), pages 291-297, April.
    44. Dong, Feng & Li, Xiaohui & Long, Ruyin & Liu, Xiaoyan, 2013. "Regional carbon emission performance in China according to a stochastic frontier model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 525-530.
    45. Jean-Philippe Boussemart & Hervé Leleu & Zhiyang Shen & Vivian Valdmanis, 2020. "Performance analysis for three pillars of sustainability," Post-Print hal-03046676, HAL.
    46. Xu, Nuo & Kasimov, Ikboljon & Wang, Yanan, 2022. "Unlocking private investment as a new determinant of green finance for renewable development in China," Renewable Energy, Elsevier, vol. 198(C), pages 1121-1130.
    47. Mariam Camarero & Juana Castillo-Giménez & Andrés Picazo-Tadeo & Cecilio Tamarit, 2014. "Is eco-efficiency in greenhouse gas emissions converging among European Union countries?," Empirical Economics, Springer, vol. 47(1), pages 143-168, August.
    48. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    49. Shih-Heng Yu & Yu Gao & Yih-Chearng Shiue, 2017. "A Comprehensive Evaluation of Sustainable Development Ability and Pathway for Major Cities in China," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
    50. Li, Ming-Jia & Tao, Wen-Quan, 2017. "Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry," Applied Energy, Elsevier, vol. 187(C), pages 203-215.
    51. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali & Toloo, Mehdi & Ghazizadeh, Mohammad Sadegh, 2016. "Eco-efficiency considering the issue of heterogeneity among power plants," Energy, Elsevier, vol. 111(C), pages 722-735.
    52. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2018. "Environmental efficiency and abatement efficiency measurements of China's thermal power industry: A data envelopment analysis based materials balance approach," European Journal of Operational Research, Elsevier, vol. 269(1), pages 35-50.
    53. Lim, Siew Hoon & Karanki, Fecri, 2020. "Airport use agreement types and input and output slacks: The case of U.S. airports," Research in Transportation Economics, Elsevier, vol. 84(C).
    54. Lee, Taehwee & Yeo, Gi-Tae & Thai, Vinh V., 2014. "Environmental efficiency analysis of port cities: Slacks-based measure data envelopment analysis approach," Transport Policy, Elsevier, vol. 33(C), pages 82-88.
    55. Xiao Gong & Jianing Mi & Chunyan Wei & Ruitao Yang, 2019. "Measuring Environmental and Economic Performance of Air Pollution Control for Province-Level Areas in China," IJERPH, MDPI, vol. 16(8), pages 1-19, April.
    56. Miaomiao Tao & Pierre Failler & Lim Thye Goh & Wee Yeap Lau & Hanghang Dong & Liang Xie, 2022. "Quantify the Effect of China’s Emission Trading Scheme on Low-carbon Eco-efficiency: Evidence from China’s 283 Cities," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(6), pages 1-33, August.
    57. Zhou, P. & Ang, B.W., 2008. "Decomposition of aggregate CO2 emissions: A production-theoretical approach," Energy Economics, Elsevier, vol. 30(3), pages 1054-1067, May.
    58. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    59. Mingxuan Lu & Ruhe Xie & Peirong Chen & Yifeng Zou & Jie Tang, 2019. "Green Transportation and Logistics Performance: An Improved Composite Index," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    60. H. K. Millington & J. E. Lovell & C. A. K. Lovell, 2013. "Using Fieldwork, GIS and DEA to Guide Management of Urban Stream Health," CEPA Working Papers Series WP072013, School of Economics, University of Queensland, Australia.
    61. Bian, Yiwen & He, Ping & Xu, Hao, 2013. "Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach," Energy Policy, Elsevier, vol. 63(C), pages 962-971.
    62. Dan Wu & Ching-Cheng Lu & Xiang Chen & Pei-Chieh Tu & An-Chi Yang & Chih-Yu Yang, 2021. "Evaluating the Dynamic Energy Production Efficiency in APEC Economies," Energies, MDPI, vol. 14(14), pages 1-20, July.
    63. Shoaib Aslam & Mohamed H. Elmagrhi & Ramiz Ur Rehman & Collins G. Ntim, 2021. "Environmental management practices and financial performance using data envelopment analysis in Japan: The mediating role of environmental performance," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 1655-1673, May.
    64. Feng Li & Qingyuan Zhu & Jun Zhuang, 2018. "Analysis of fire protection efficiency in the United States: a two-stage DEA-based approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 23-68, January.
    65. Quintano, Claudio & Mazzocchi, Paolo & Rocca, Antonella, 2021. "Evaluation of the eco-efficiency of territorial districts with seaport economic activities," Utilities Policy, Elsevier, vol. 71(C).
    66. Xiancun Hu & Chunlu Liu, 2017. "Slacks-based data envelopment analysis for eco-efficiency assessment in the Australian construction industry," Construction Management and Economics, Taylor & Francis Journals, vol. 35(11-12), pages 693-706, December.
    67. Wen Guo & Tao Sun & Hongjun Dai, 2017. "Efficiency Allocation of Provincial Carbon Reduction Target in China’s “13·5” Period: Based on Zero-Sum-Gains SBM Model," Sustainability, MDPI, vol. 9(2), pages 1-18, January.
    68. Welch, Eric & Barnum, Darold, 2009. "Joint environmental and cost efficiency analysis of electricity generation," Ecological Economics, Elsevier, vol. 68(8-9), pages 2336-2343, June.
    69. Zhang, Chunhong & Liu, Haiying & Bressers, Hans Th.A. & Buchanan, Karen S., 2011. "Productivity growth and environmental regulations - accounting for undesirable outputs: Analysis of China's thirty provincial regions using the Malmquist–Luenberger index," Ecological Economics, Elsevier, vol. 70(12), pages 2369-2379.
    70. Ya Chen & Wei Xu & Qian Zhou & Zhixiang Zhou, 2020. "Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    71. Shen, Zhiyang & Bai, Kaixuan & Hong, Tianyang & Balezentis, Tomas, 2021. "Evaluation of carbon shadow price within a non-parametric meta-frontier framework: The case of OECD, ASEAN and BRICS," Applied Energy, Elsevier, vol. 299(C).
    72. Halkos, George & Tzeremes, Nickolaos, 2012. "A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from the UK regions," MPRA Paper 38147, University Library of Munich, Germany.
    73. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    74. Ouyang, Wendi & Yang, Jian-bo, 2020. "The network energy and environment efficiency analysis of 27 OECD countries: A multiplicative network DEA model," Energy, Elsevier, vol. 197(C).
    75. Guoping Mei & Jingyi Gan & Ning Zhang, 2015. "Metafrontier Environmental Efficiency for China’s Regions: A Slack-Based Efficiency Measure," Sustainability, MDPI, vol. 7(4), pages 1-18, April.
    76. Wei, Chu & Ni, Jinlan & Du, Limin, 2012. "Regional allocation of carbon dioxide abatement in China," China Economic Review, Elsevier, vol. 23(3), pages 552-565.
    77. Xu, Tong & Zhu, Chunyan & Shi, Longyu & Gao, Lijie & Zhang, Miao, 2017. "Evaluating energy efficiency of public institutions in China," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 17-24.
    78. Li, Hai-ling & Zhu, Xue-hong & Chen, Jin-yu & Jiang, Fei-tao, 2019. "Environmental regulations, environmental governance efficiency and the green transformation of China's iron and steel enterprises," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    79. George Halkos & George Papageorgiou, 2014. "Spatial environmental efficiency indicators in regional waste generation: A nonparametric approach," DEOS Working Papers 1401, Athens University of Economics and Business.
    80. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2017. "Environmental efficiency and abatement efficiency measurements of China¡¯s thermal power industry: A data envelopment analysis based materials balance approach," CEEP-BIT Working Papers 108, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    81. Ma, Chunbo & Hailu, Atakelty & You, Chaoying, 2019. "A critical review of distance function based economic research on China’s marginal abatement cost of carbon dioxide emissions," Energy Economics, Elsevier, vol. 84(C).
    82. Kangjuan Lv & Anyu Yu & Yiwen Bian, 2017. "Regional energy efficiency and its determinants in China during 2001–2010: a slacks-based measure and spatial econometric analysis," Journal of Productivity Analysis, Springer, vol. 47(1), pages 65-81, February.
    83. Zhang, Dongyang & Mohsin, Muhammad & Rasheed, Abdul Khaliq & Chang, Youngho & Taghizadeh-Hesary, Farhad, 2021. "Public spending and green economic growth in BRI region: Mediating role of green finance," Energy Policy, Elsevier, vol. 153(C).
    84. Pham, Manh D. & Zelenyuk, Valentin, 2019. "Weak disposability in nonparametric production analysis: A new taxonomy of reference technology sets," European Journal of Operational Research, Elsevier, vol. 274(1), pages 186-198.
    85. Chang, Lei & Taghizadeh-Hesary, Farhad & Saydaliev, Hayot Berk, 2022. "How do ICT and renewable energy impact sustainable development?," Renewable Energy, Elsevier, vol. 199(C), pages 123-131.
    86. Iftikhar, Yaser & Wang, Zhaohua & Zhang, Bin & Wang, Bo, 2018. "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, Elsevier, vol. 147(C), pages 197-207.
    87. Sahoo, Nihar R. & Mohapatra, Pratap K.J. & Sahoo, Biresh K. & Mahanty, Biswajit, 2017. "Rationality of energy efficiency improvement targets under the PAT scheme in India – A case of thermal power plants," Energy Economics, Elsevier, vol. 66(C), pages 279-289.
    88. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    89. Guofeng Wang & Ziyu Qian & Xiangzheng Deng, 2020. "Analysis of Environmental Policy and the Performance of Sustainable Agricultural Development in China," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    90. Jingdong Zhong, 2019. "Biased Technical Change, Factor Substitution, and Carbon Emissions Efficiency in China," Sustainability, MDPI, vol. 11(4), pages 1-17, February.
    91. Qingyou Yan & Xu Wang & Tomas Baležentis & Dalia Streimikiene, 2018. "Energy–economy–environmental (3E) performance of Chinese regions based on the data envelopment analysis model with mixed assumptions on disposability," Energy & Environment, , vol. 29(5), pages 664-684, August.
    92. Song, Lianlian & Fu, Yelin & Zhou, Peng & Lai, Kin Keung, 2017. "Measuring national energy performance via Energy Trilemma Index: A Stochastic Multicriteria Acceptability Analysis," Energy Economics, Elsevier, vol. 66(C), pages 313-319.
    93. Xie, Bai-Chen & Shang, Li-Feng & Yang, Si-Bo & Yi, Bo-Wen, 2014. "Dynamic environmental efficiency evaluation of electric power industries: Evidence from OECD (Organization for Economic Cooperation and Development) and BRIC (Brazil, Russia, India and China) countrie," Energy, Elsevier, vol. 74(C), pages 147-157.
    94. Kao, Chiang & Hwang, Shiuh-Nan, 2021. "Measuring the effects of undesirable outputs on the efficiency of production units," European Journal of Operational Research, Elsevier, vol. 292(3), pages 996-1003.
    95. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali & Shadman, Foroogh, 2014. "Power industry restructuring and eco-efficiency changes: A new slacks-based model in Malmquist–Luenberger Index measurement," Energy Policy, Elsevier, vol. 68(C), pages 132-145.
    96. Truc Linh Le & Pai-Po Lee & Ke Chung Peng & Rebecca H. Chung, 2019. "Evaluation of total factor productivity and environmental efficiency of agriculture in nine East Asian countries," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(6), pages 249-258.
    97. Liu, Yang & Dilanchiev, Azer & Xu, Kaifei & Hajiyeva, Aytan Merdan, 2022. "Financing SMEs and business development as new post Covid-19 economic recovery determinants," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 554-567.
    98. Chen, Shiyi, 2015. "Environmental pollution emissions, regional productivity growth and ecological economic development in China," China Economic Review, Elsevier, vol. 35(C), pages 171-182.
    99. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    100. Gong, Xiaoxing & Wu, Xiaofan & Luo, Meifeng, 2019. "Company performance and environmental efficiency: A case study for shipping enterprises," Transport Policy, Elsevier, vol. 82(C), pages 96-106.
    101. Corrado Lo Storto, 2016. "Ecological Efficiency Based Ranking of Cities: A Combined DEA Cross-Efficiency and Shannon’s Entropy Method," Sustainability, MDPI, vol. 8(2), pages 1-29, January.
    102. Chiu, Ching-Ren & Liou, Je-Liang & Wu, Pei-Ing & Fang, Chen-Ling, 2012. "Decomposition of the environmental inefficiency of the meta-frontier with undesirable output," Energy Economics, Elsevier, vol. 34(5), pages 1392-1399.
    103. Zhou, Yan & Xing, Xinpeng & Fang, Kuangnan & Liang, Dapeng & Xu, Chunlin, 2013. "Environmental efficiency analysis of power industry in China based on an entropy SBM model," Energy Policy, Elsevier, vol. 57(C), pages 68-75.
    104. Mohsin, Muhammad & Hanif, Imran & Taghizadeh-Hesary, Farhad & Abbas, Qaiser & Iqbal, Wasim, 2021. "Nexus between energy efficiency and electricity reforms: A DEA-Based way forward for clean power development," Energy Policy, Elsevier, vol. 149(C).
    105. Fan Zhang & Gui Jin & Junlong Li & Chao Wang & Ning Xu, 2020. "Study on Dynamic Total Factor Carbon Emission Efficiency in China’s Urban Agglomerations," Sustainability, MDPI, vol. 12(7), pages 1-17, March.
    106. Ming Yi & Yiqian Wang & Modan Yan & Lina Fu & Yao Zhang, 2020. "Government R&D Subsidies, Environmental Regulations, and Their Effect on Green Innovation Efficiency of Manufacturing Industry: Evidence from the Yangtze River Economic Belt of China," IJERPH, MDPI, vol. 17(4), pages 1-17, February.
    107. Young-Tae Chang & Nan Zhang, 2017. "Environmental efficiency of transportation sectors in China and Korea," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(1), pages 68-93, March.
    108. Yiwen Bian & Kangjuan Lv & Anyu Yu, 2017. "China’s regional energy and carbon dioxide emissions efficiency evaluation with the presence of recovery energy: an interval slacks-based measure approach," Annals of Operations Research, Springer, vol. 255(1), pages 301-321, August.
    109. Arjomandi, Amir & Seufert, Juergen Heinz, 2014. "An evaluation of the world's major airlines' technical and environmental performance," Economic Modelling, Elsevier, vol. 41(C), pages 133-144.
    110. Wang, Keying & Wu, Meng & Sun, Yongping & Shi, Xunpeng & Sun, Ao & Zhang, Ping, 2019. "Resource abundance, industrial structure, and regional carbon emissions efficiency in China," Resources Policy, Elsevier, vol. 60(C), pages 203-214.
    111. Li, Mingquan & Wang, Qi, 2014. "International environmental efficiency differences and their determinants," Energy, Elsevier, vol. 78(C), pages 411-420.
    112. Wu, Yinyin & Yu, Jie & Song, Malin & Chen, Jiandong & Hou, Wenxuan, 2021. "Shadow prices of industrial air pollutant emissions in China," Economic Modelling, Elsevier, vol. 94(C), pages 726-736.
    113. Wang, Juan & Li, Jing & Zhang, Qingjun, 2021. "Does carbon efficiency improve financial performance? Evidence from Chinese firms," Energy Economics, Elsevier, vol. 104(C).
    114. Xiaowei Song & Yongpei Hao & Xiaodong Zhu, 2015. "Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model," Sustainability, MDPI, vol. 7(7), pages 1-20, July.
    115. Ling Wang & Zhongchang Chen & Dalai Ma & Pei Zhao, 2013. "Measuring Carbon Emissions Performance in 123 Countries: Application of Minimum Distance to the Strong Efficiency Frontier Analysis," Sustainability, MDPI, vol. 5(12), pages 1-14, December.
    116. Tae-Woong Yang & Joon-Ho Na & Hun-Koo Ha, 2019. "Comparative Analysis of Production Possibility Frontier in Measuring Social Efficiency with Data Envelopment Analysis: An Application to Airports," Sustainability, MDPI, vol. 11(7), pages 1-18, April.
    117. Qingyou Yan & Fei Zhao & Xu Wang & Tomas Balezentis, 2021. "The Environmental Efficiency Analysis Based on the Three-Step Method for Two-Stage Data Envelopment Analysis," Energies, MDPI, vol. 14(21), pages 1-14, October.
    118. Satoshi Honma, 2015. "Does international trade improve environmental efficiency? An application of a super slacks-based measure of efficiency," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-12, December.
    119. Minyoung Yang & Jinsoo Kim, 2022. "A Critical Review of the Definition and Estimation of Carbon Efficiency," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    120. Li, Zhi & Ouyang, Xiaoling & Du, Kerui & Zhao, Yang, 2017. "Does government transparency contribute to improved eco-efficiency performance? An empirical study of 262 cities in China," Energy Policy, Elsevier, vol. 110(C), pages 79-89.
    121. Hwang, Shiuh-Nan & Chen, Chialin & Chen, Yao & Lee, Hsuan-Shih & Shen, Pei-Di, 2013. "Sustainable design performance evaluation with applications in the automobile industry: Focusing on inefficiency by undesirable factors," Omega, Elsevier, vol. 41(3), pages 553-558.
    122. Turčeková, Natália & Svetlanská, T. & Kollár, B. & Záhorský, T., 2015. "Agri-Environmental Performance of EU Member states," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(4), pages 1-10, December.
    123. Yu, Ming-Miin & Chen, Li-Hsueh, 2016. "Centralized resource allocation with emission resistance in a two-stage production system: Evidence from a Taiwan’s container shipping company," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 650-671.
    124. Li, Jianglong & Lin, Boqiang, 2017. "Ecological total-factor energy efficiency of China's heavy and light industries: Which performs better?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 83-94.
    125. Liu, Guangtian & Wang, Bing & Zhang, Ning, 2016. "A coin has two sides: Which one is driving China’s green TFP growth?," Economic Systems, Elsevier, vol. 40(3), pages 481-498.
    126. Xinna Zhao & Li Guo & Zhiyuan Gao & Yu Hao, 2024. "Estimation and Analysis of Carbon Emission Efficiency in Chinese Industry and Its Influencing Factors—Evidence from the Micro Level," Energies, MDPI, vol. 17(4), pages 1-15, February.
    127. Yu, Yan & Wen, Zongguo, 2010. "Evaluating China's urban environmental sustainability with Data Envelopment Analysis," Ecological Economics, Elsevier, vol. 69(9), pages 1748-1755, July.
    128. Yu, Yu & Wang, Derek D. & Li, Shanling & Shi, Qinfen, 2016. "Assessment of U.S. firm-level climate change performance and strategy," Energy Policy, Elsevier, vol. 92(C), pages 432-443.
    129. Halkos, George & Tzeremes, Nickolaos, 2011. "Does the Kyoto Protocol Agreement matters? An environmental efficiency analysis," MPRA Paper 30652, University Library of Munich, Germany.
    130. Wang, Mei Ling, 2023. "Effects of the green finance policy on the green innovation efficiency of the manufacturing industry: A difference-in-difference model," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    131. Song, Malin & An, Qingxian & Zhang, Wei & Wang, Zeya & Wu, Jie, 2012. "Environmental efficiency evaluation based on data envelopment analysis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4465-4469.
    132. Kiril Simeonovski & Tamara Kaftandzieva & Gregory Brock, 2021. "Energy Efficiency Management across EU Countries: A DEA Approach," Energies, MDPI, vol. 14(9), pages 1-19, May.
    133. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    134. Qingyou Yan & Youwei Wan & Jingye Yuan & Jieting Yin & Tomas Baležentis & Dalia Streimikiene, 2017. "Economic and Technical Efficiency of the Biomass Industry in China: A Network Data Envelopment Analysis Model Involving Externalities," Energies, MDPI, vol. 10(9), pages 1-19, September.
    135. Sadiq, Muhammad & Lin, Chia-Yang & Wang, Kuan-Ting & Trung, Lam Minh & Duong, Khoa Dang & Ngo, Thanh Quang, 2022. "Commodity dynamism in the COVID-19 crisis: Are gold, oil, and stock commodity prices, symmetrical?," Resources Policy, Elsevier, vol. 79(C).
    136. Qingxian An & Haoxun Chen & Jie Wu & Liang Liang, 2015. "Measuring slacks-based efficiency for commercial banks in China by using a two-stage DEA model with undesirable output," Annals of Operations Research, Springer, vol. 235(1), pages 13-35, December.
    137. Mushtaq Taleb & Ruzelan Khalid & Ali Emrouznejad & Razamin Ramli, 2023. "Environmental efficiency under weak disposability: an improved super efficiency data envelopment analysis model with application for assessment of port operations considering NetZero," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6627-6656, July.
    138. Caiping Zhang & Wenjie Yue & Deming Tan & Zhenkun Su, 2023. "Carbon performance evaluation system and practice analysis for the sustainable enterprises," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(1), pages 292-306, February.
    139. Chang, Wentao & Yin, Shanminhui & Yu, Mingwen & Teymurova, Vusala & Balabeyova, Narmina, 2023. "Impact of innovation on Corporate Social Responsibility: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1185-1194.
    140. Zhenggen Fan & Chao Deng & Yuqi Fan & Puwei Zhang & Hua Lu, 2021. "Spatial-Temporal Pattern and Evolution Trend of the Cultivated Land Use Eco-Efficiency in the National Pilot Zone for Ecological Conservation in China," IJERPH, MDPI, vol. 19(1), pages 1-16, December.
    141. Zhang, Xing-Ping & Tan, Ya-Kun & Tan, Qin-Liang & Yuan, Jia-Hai, 2012. "Decomposition of aggregate CO2 emissions within a joint production framework," Energy Economics, Elsevier, vol. 34(4), pages 1088-1097.
    142. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    143. Tsolas, Ioannis E., 2011. "Performance assessment of mining operations using nonparametric production analysis: A bootstrapping approach in DEA," Resources Policy, Elsevier, vol. 36(2), pages 159-167, June.
    144. Honma, Satoshi, 2014. "Does international trade improve environmental efficiency? An application of a super slacks-based measurement of efficiency," MPRA Paper 56950, University Library of Munich, Germany.
    145. Barros, Carlos Pestana & Managi, Shunsuke & Matousek, Roman, 2012. "The technical efficiency of the Japanese banks: Non-radial directional performance measurement with undesirable output," Omega, Elsevier, vol. 40(1), pages 1-8, January.
    146. Nelson Amowine & Zhiqiang Ma & Mingxing Li & Zhixiang Zhou & Benjamin Azembila Asunka & James Amowine, 2019. "Energy Efficiency Improvement Assessment in Africa: An Integrated Dynamic DEA Approach," Energies, MDPI, vol. 12(20), pages 1-17, October.
    147. Kounetas, Konstantinos & Zervopoulos, Panagiotis D., 2019. "A cross-country evaluation of environmental performance: Is there a convergence-divergence pattern in technology gaps?," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1136-1148.
    148. Jie Wu & Xiang Lu & Dong Guo & Liang Liang, 2017. "Slacks-Based Efficiency Measurements with Undesirable Outputs in Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1005-1021, July.
    149. Kim, Kyunam & Kim, Yeonbae, 2012. "International comparison of industrial CO2 emission trends and the energy efficiency paradox utilizing production-based decomposition," Energy Economics, Elsevier, vol. 34(5), pages 1724-1741.
    150. Jiekun Song & Zhicheng Liu & Rui Chen & Xueli Leng, 2023. "Calculation and Allocation of Atmospheric Environment Governance Cost in the Yangtze River Economic Belt of China," IJERPH, MDPI, vol. 20(5), pages 1-21, February.
    151. Amer Ait Sidhoum & Carolin Canessa & Johannes Sauer, 2023. "Effects of agri‐environment schemes on farm‐level eco‐efficiency measures: Empirical evidence from EU countries," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 551-569, June.
    152. Mahlberg, Bernhard & Sahoo, Biresh K., 2011. "Radial and non-radial decompositions of Luenberger productivity indicator with an illustrative application," International Journal of Production Economics, Elsevier, vol. 131(2), pages 721-726, June.
    153. Ning Zhang & Fanbin Kong & Chih-Chun Kung, 2015. "On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 389-404, October.
    154. Lu, Ching-Cheng & Chiu, Yung-Ho & Shyu, Ming-Kuang & Lee, Jen-Hui, 2013. "Measuring CO2 emission efficiency in OECD countries: Application of the Hybrid Efficiency model," Economic Modelling, Elsevier, vol. 32(C), pages 130-135.
    155. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    156. Yin, Pengzhen & Sun, Jiasen & Chu, Junfei & Liang, Liang, 2016. "Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspectiveAuthor-Name: Wu, Jie," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1047-1062.
    157. Zhou, Anhua & Li, Jun, 2021. "Investigate the impact of market reforms on the improvement of manufacturing energy efficiency under China’s provincial-level data," Energy, Elsevier, vol. 228(C).
    158. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    159. Shuaiyu Yao & Mengmeng Chen & Dmitri Muravev & Wendi Ouyang, 2021. "Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model," IJERPH, MDPI, vol. 18(11), pages 1-16, June.
    160. Halkos, George & Tzeremes, Nickolaos, 2011. "Towards a culture of environmental efficiency: An application of conditional partial nonparametric frontiers," MPRA Paper 28690, University Library of Munich, Germany.
    161. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    162. Lozano, Sebastián & Gutiérrez, Ester, 2008. "Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions," Ecological Economics, Elsevier, vol. 66(4), pages 687-699, July.
    163. Peroni, Chiara, 2012. "Environmental efficiency indices: towards a new approach to green-growth accounting," MPRA Paper 38671, University Library of Munich, Germany, revised 27 Apr 2012.
    164. Yu, Yantuan & Huang, Jianhuan & Zhang, Ning, 2019. "Modeling the eco-efficiency of Chinese prefecture-level cities with regional heterogeneities: A comparative perspective," Ecological Modelling, Elsevier, vol. 402(C), pages 1-17.
    165. Xiang Ji & Jiasen Sun & Qunwei Wang & Qianqian Yuan, 2019. "Revealing Energy Over-Consumption and Pollutant Over-Emission Behind GDP: A New Multi-criteria Sustainable Measure," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1391-1421, December.
    166. Wang, Ailun & Hu, Shuo & Li, Jianglong, 2021. "Does economic development help achieve the goals of environmental regulation? Evidence from partially linear functional-coefficient model," Energy Economics, Elsevier, vol. 103(C).
    167. Cabrera-Jiménez, Richard & Mateo-Sanz, Josep M. & Gavaldà, Jordi & Jiménez, Laureano & Pozo, Carlos, 2022. "Comparing biofuels through the lens of sustainability: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 307(C).
    168. Guo, Xiao-Dan & Zhu, Lei & Fan, Ying & Xie, Bai-Chen, 2011. "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, Elsevier, vol. 39(5), pages 2352-2360, May.

  134. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "A trigonometric grey prediction approach to forecasting electricity demand," Energy, Elsevier, vol. 31(14), pages 2839-2847.

    Cited by:

    1. Hamzacebi, Coskun & Es, Huseyin Avni, 2014. "Forecasting the annual electricity consumption of Turkey using an optimized grey model," Energy, Elsevier, vol. 70(C), pages 165-171.
    2. Naiming Xie & Alan Pearman, 2014. "Forecasting energy consumption in China following instigation of an energy-saving policy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 639-659, November.
    3. Dutta, Goutam & Mitra, Krishnendranath, 2015. "Dynamic Pricing of Electricity: A Survey of Related Research," IIMA Working Papers WP2015-08-03, Indian Institute of Management Ahmedabad, Research and Publication Department.
    4. Chang, Che-Jung & Li, Der-Chiang & Huang, Yi-Hsiang & Chen, Chien-Chih, 2015. "A novel gray forecasting model based on the box plot for small manufacturing data sets," Applied Mathematics and Computation, Elsevier, vol. 265(C), pages 400-408.
    5. Wang, Shuai & Yu, Lean & Tang, Ling & Wang, Shouyang, 2011. "A novel seasonal decomposition based least squares support vector regression ensemble learning approach for hydropower consumption forecasting in China," Energy, Elsevier, vol. 36(11), pages 6542-6554.
    6. Barman, Mayur & Dev Choudhury, Nalin Behari, 2019. "Season specific approach for short-term load forecasting based on hybrid FA-SVM and similarity concept," Energy, Elsevier, vol. 174(C), pages 886-896.
    7. Kankal, Murat & AkpInar, Adem & Kömürcü, Murat Ihsan & Özsahin, Talat Sükrü, 2011. "Modeling and forecasting of Turkey's energy consumption using socio-economic and demographic variables," Applied Energy, Elsevier, vol. 88(5), pages 1927-1939, May.
    8. Deb, Chirag & Zhang, Fan & Yang, Junjing & Lee, Siew Eang & Shah, Kwok Wei, 2017. "A review on time series forecasting techniques for building energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 902-924.
    9. Fei Wang & Wei Chao, 2018. "A New Perspective on Improving Hospital Energy Administration Based on Recurrence Interval Analysis," Energies, MDPI, vol. 11(5), pages 1-18, May.
    10. Wang, Qiang & Li, Shuyu & Li, Rongrong & Ma, Minglu, 2018. "Forecasting U.S. shale gas monthly production using a hybrid ARIMA and metabolic nonlinear grey model," Energy, Elsevier, vol. 160(C), pages 378-387.
    11. Wang, Chi-hsiang & Grozev, George & Seo, Seongwon, 2012. "Decomposition and statistical analysis for regional electricity demand forecasting," Energy, Elsevier, vol. 41(1), pages 313-325.
    12. Aydin, Gokhan, 2014. "Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 382-389.
    13. Prasad, Ravita D. & Raturi, Atul, 2017. "Grid electricity for Fiji islands: Future supply options and assessment of demand trends," Energy, Elsevier, vol. 119(C), pages 860-871.
    14. Pao, Hsiao-Tien & Tsai, Chung-Ming, 2011. "Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil," Energy, Elsevier, vol. 36(5), pages 2450-2458.
    15. Tang, Ling & Yu, Lean & Wang, Shuai & Li, Jianping & Wang, Shouyang, 2012. "A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 93(C), pages 432-443.
    16. Huang, Lizhen & Bohne, Rolf André & Lohne, Jardar, 2015. "Shelter and residential building energy consumption within the 450 ppm CO2eq constraints in different climate zones," Energy, Elsevier, vol. 90(P1), pages 965-979.
    17. Zeng, Chunlei & Wu, Changchun & Zuo, Lili & Zhang, Bin & Hu, Xingqiao, 2014. "Predicting energy consumption of multiproduct pipeline using artificial neural networks," Energy, Elsevier, vol. 66(C), pages 791-798.
    18. Karakurt, Izzet, 2021. "Modelling and forecasting the oil consumptions of the BRICS-T countries," Energy, Elsevier, vol. 220(C).
    19. Cinar, Didem & Kayakutlu, Gulgun & Daim, Tugrul, 2010. "Development of future energy scenarios with intelligent algorithms: Case of hydro in Turkey," Energy, Elsevier, vol. 35(4), pages 1724-1729.
    20. Al-Muhawesh, Tareq A. & Qamber, Isa S., 2008. "The established mega watt linear programming-based optimal power flow model applied to the real power 56-bus system in eastern province of Saudi Arabia," Energy, Elsevier, vol. 33(1), pages 12-21.
    21. Fei Ye & Xinxiu Xie & Li Zhang & Xiaoling Hu, 2018. "An Improved Grey Model and Scenario Analysis for Carbon Intensity Forecasting in the Pearl River Delta Region of China," Energies, MDPI, vol. 11(1), pages 1-16, January.
    22. Moustris, K. & Kavadias, K.A. & Zafirakis, D. & Kaldellis, J.K., 2020. "Medium, short and very short-term prognosis of load demand for the Greek Island of Tilos using artificial neural networks and human thermal comfort-discomfort biometeorological data," Renewable Energy, Elsevier, vol. 147(P1), pages 100-109.
    23. Guo-Feng Fan & Shan Qing & Hua Wang & Wei-Chiang Hong & Hong-Juan Li, 2013. "Support Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting," Energies, MDPI, vol. 6(4), pages 1-15, April.
    24. Wu, Lifeng & Gao, Xiaohui & Xiao, Yanli & Yang, Yingjie & Chen, Xiangnan, 2018. "Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China," Energy, Elsevier, vol. 157(C), pages 327-335.
    25. Bianco, Vincenzo & Manca, Oronzio & Nardini, Sergio & Minea, Alina A., 2010. "Analysis and forecasting of nonresidential electricity consumption in Romania," Applied Energy, Elsevier, vol. 87(11), pages 3584-3590, November.
    26. Carlo Andrea Bollino & Francesco Asdrubali & Paolo Polinori & Simona Bigerna & Silvia Micheli & Claudia Guattari & Antonella Rotili, 2017. "A Note on Medium- and Long-Term Global Energy Prospects and Scenarios," Sustainability, MDPI, vol. 9(5), pages 1-25, May.
    27. Aneeque A. Mir & Mohammed Alghassab & Kafait Ullah & Zafar A. Khan & Yuehong Lu & Muhammad Imran, 2020. "A Review of Electricity Demand Forecasting in Low and Middle Income Countries: The Demand Determinants and Horizons," Sustainability, MDPI, vol. 12(15), pages 1-35, July.
    28. Pao, Hsiao-Tien & Fu, Hsin-Chia & Tseng, Cheng-Lung, 2012. "Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model," Energy, Elsevier, vol. 40(1), pages 400-409.
    29. Zhu, Suling & Wang, Jianzhou & Zhao, Weigang & Wang, Jujie, 2011. "A seasonal hybrid procedure for electricity demand forecasting in China," Applied Energy, Elsevier, vol. 88(11), pages 3807-3815.
    30. An, Ning & Zhao, Weigang & Wang, Jianzhou & Shang, Duo & Zhao, Erdong, 2013. "Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting," Energy, Elsevier, vol. 49(C), pages 279-288.
    31. Yi-Chung Hu, 2017. "Nonadditive Grey Prediction Using Functional-Link Net for Energy Demand Forecasting," Sustainability, MDPI, vol. 9(7), pages 1-14, July.
    32. Chen, Ho-Wen & Yu, Ruey-Fang & Ning, Shu-Kuang & Huang, Hsin-Chih, 2010. "Forecasting effluent quality of an industry wastewater treatment plant by evolutionary grey dynamic model," Resources, Conservation & Recycling, Elsevier, vol. 54(4), pages 235-241.
    33. Goutam Dutta & Krishnendranath Mitra, 2017. "A literature review on dynamic pricing of electricity," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1131-1145, October.
    34. Ene, Seval & Öztürk, Nursel, 2017. "Grey modelling based forecasting system for return flow of end-of-life vehicles," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 155-166.
    35. Wang, Yuanyuan & Wang, Jianzhou & Zhao, Ge & Dong, Yao, 2012. "Application of residual modification approach in seasonal ARIMA for electricity demand forecasting: A case study of China," Energy Policy, Elsevier, vol. 48(C), pages 284-294.
    36. Khan, Muhammad Arshad, 2015. "Modelling and forecasting the demand for natural gas in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1145-1159.
    37. Jiang, Ping & Li, Ranran & Liu, Ningning & Gao, Yuyang, 2020. "A novel composite electricity demand forecasting framework by data processing and optimized support vector machine," Applied Energy, Elsevier, vol. 260(C).
    38. Pao, H.T., 2009. "Forecasting energy consumption in Taiwan using hybrid nonlinear models," Energy, Elsevier, vol. 34(10), pages 1438-1446.
    39. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    40. Tang, Hui-Wen Vivian & Yin, Mu-Shang, 2012. "Forecasting performance of grey prediction for education expenditure and school enrollment," Economics of Education Review, Elsevier, vol. 31(4), pages 452-462.
    41. Chia-Nan Wang & Minh Nhat Nguyen & Anh Luyen Le & Hector Tibo, 2020. "A DEA Resampling Past-Present-Future Comparative Analysis of the Food and Beverage Industry: The Case Study on Thailand vs. Vietnam," Mathematics, MDPI, vol. 8(7), pages 1-24, July.
    42. Jasiński, Tomasz, 2022. "A new approach to modeling cycles with summer and winter demand peaks as input variables for deep neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    43. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    44. Yi-Chung Hu & Peng Jiang, 2017. "Forecasting energy demand using neural-network-based grey residual modification models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 556-565, May.
    45. Chia-Nan Wang & Tien-Muoi Le & Han-Khanh Nguyen, 2019. "Application of Optimization to Select Contractors to Develop Strategies and Policies for the Development of Transport Infrastructure," Mathematics, MDPI, vol. 7(1), pages 1-19, January.
    46. Hu, Huanling & Wang, Lin & Peng, Lu & Zeng, Yu-Rong, 2020. "Effective energy consumption forecasting using enhanced bagged echo state network," Energy, Elsevier, vol. 193(C).
    47. Weiwei Pan & Lirong Jian & Tao Liu, 2019. "Grey system theory trends from 1991 to 2018: a bibliometric analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1407-1434, December.
    48. OA Carboni & P. Russu, 2014. "Measuring Environmental and Economic Efficiency in Italy: an Application of the Malmquist-DEA and Grey Forecasting Model," Working Paper CRENoS 201401, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    49. Weide Li & Demeng Kong & Jinran Wu, 2017. "A Novel Hybrid Model Based on Extreme Learning Machine, k-Nearest Neighbor Regression and Wavelet Denoising Applied to Short-Term Electric Load Forecasting," Energies, MDPI, vol. 10(5), pages 1-16, May.
    50. Sun, Xu & Sun, Wangshu & Wang, Jianzhou & Zhang, Yixin & Gao, Yining, 2016. "Using a Grey–Markov model optimized by Cuckoo search algorithm to forecast the annual foreign tourist arrivals to China," Tourism Management, Elsevier, vol. 52(C), pages 369-379.
    51. Aftab Ahmed Almani & Xueshan Han, 2023. "Real-Time Pricing-Enabled Demand Response Using Long Short-Time Memory Deep Learning," Energies, MDPI, vol. 16(5), pages 1-13, March.
    52. Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
    53. Pao, Hsiao-Tien, 2009. "Forecast of electricity consumption and economic growth in Taiwan by state space modeling," Energy, Elsevier, vol. 34(11), pages 1779-1791.
    54. Wu, Li-Ming & Chen, Bai-Sheng & Bor, Yun-Chang & Wu, Yin-Chin, 2007. "Structure model of energy efficiency indicators and applications," Energy Policy, Elsevier, vol. 35(7), pages 3768-3777, July.
    55. Zhao, Ze & Wang, Jianzhou & Zhao, Jing & Su, Zhongyue, 2012. "Using a Grey model optimized by Differential Evolution algorithm to forecast the per capita annual net income of rural households in China," Omega, Elsevier, vol. 40(5), pages 525-532.
    56. Che, Jinxing & Wang, Jianzhou & Wang, Guangfu, 2012. "An adaptive fuzzy combination model based on self-organizing map and support vector regression for electric load forecasting," Energy, Elsevier, vol. 37(1), pages 657-664.
    57. Li-Ling Peng & Guo-Feng Fan & Min-Liang Huang & Wei-Chiang Hong, 2016. "Hybridizing DEMD and Quantum PSO with SVR in Electric Load Forecasting," Energies, MDPI, vol. 9(3), pages 1-20, March.
    58. Ahmed Ismail & Mustafa Baysal, 2023. "Dynamic Pricing Based on Demand Response Using Actor–Critic Agent Reinforcement Learning," Energies, MDPI, vol. 16(14), pages 1-19, July.
    59. Bianco, Vincenzo & Scarpa, Federico & Tagliafico, Luca A., 2014. "Scenario analysis of nonresidential natural gas consumption in Italy," Applied Energy, Elsevier, vol. 113(C), pages 392-403.
    60. Liu, Xiuli & Moreno, Blanca & García, Ana Salomé, 2016. "A grey neural network and input-output combined forecasting model. Primary energy consumption forecasts in Spanish economic sectors," Energy, Elsevier, vol. 115(P1), pages 1042-1054.
    61. Wang, Xiaolei & Xie, Naiming & Yang, Lu, 2022. "A flexible grey Fourier model based on integral matching for forecasting seasonal PM2.5 time series," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    62. Oliviero A. Carboni & Paolo Russu, 2018. "Measuring and forecasting regional environmental and economic efficiency in Italy," Applied Economics, Taylor & Francis Journals, vol. 50(4), pages 335-353, January.
    63. Barman, Mayur & Dev Choudhury, N.B. & Sutradhar, Suman, 2018. "A regional hybrid GOA-SVM model based on similar day approach for short-term load forecasting in Assam, India," Energy, Elsevier, vol. 145(C), pages 710-720.
    64. Arisoy, Ibrahim & Ozturk, Ilhan, 2014. "Estimating industrial and residential electricity demand in Turkey: A time varying parameter approach," Energy, Elsevier, vol. 66(C), pages 959-964.
    65. Li, Guo-Dong & Masuda, Shiro & Nagai, Masatake, 2012. "An optimal hybrid model for atomic power generation prediction in Japan," Energy, Elsevier, vol. 45(1), pages 655-661.
    66. Wu, Lifeng & Liu, Sifeng & Liu, Dinglin & Fang, Zhigeng & Xu, Haiyan, 2015. "Modelling and forecasting CO2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model," Energy, Elsevier, vol. 79(C), pages 489-495.
    67. Jing, You-Yin & Bai, He & Wang, Jiang-Jiang, 2012. "A fuzzy multi-criteria decision-making model for CCHP systems driven by different energy sources," Energy Policy, Elsevier, vol. 42(C), pages 286-296.

  135. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Decision analysis in energy and environmental modeling: An update," Energy, Elsevier, vol. 31(14), pages 2604-2622.

    Cited by:

    1. Busola D. Akintayo & Oluwafemi E. Ige & Olubayo M. Babatunde & Oludolapo A. Olanrewaju, 2023. "Evaluation and Prioritization of Power-Generating Systems Using a Life Cycle Assessment and a Multicriteria Decision-Making Approach," Energies, MDPI, vol. 16(18), pages 1-18, September.
    2. Mirakyan, Atom & De Guio, Roland, 2013. "Integrated energy planning in cities and territories: A review of methods and tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 289-297.
    3. B. Domenech & L. Ferrer-Martí & R. Pastor, 2022. "Multicriteria analysis of renewable-based electrification projects in developing countries," Annals of Operations Research, Springer, vol. 312(2), pages 1375-1401, May.
    4. Gökay Yörük & Ugur Bac & Fatma Yerlikaya-Özkurt & Kamil Demirberk Ünlü, 2023. "Strategic Electricity Production Planning of Turkey via Mixed Integer Programming Based on Time Series Forecasting," Mathematics, MDPI, vol. 11(8), pages 1-20, April.
    5. Yao, Gui-huan & Wang, Fang & Wang, Xiao-bo & Gui, Ke-ting, 2010. "Magnetic field effects on selective catalytic reduction of NO by NH3 over Fe2O3 catalyst in a magnetically fluidized bed," Energy, Elsevier, vol. 35(5), pages 2295-2300.
    6. Rios, R. & Duarte, S., 2021. "Selection of ideal sites for the development of large-scale solar photovoltaic projects through Analytical Hierarchical Process – Geographic information systems (AHP-GIS) in Peru," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    7. Akber, Muhammad Zeshan & Thaheem, Muhammad Jamaluddin & Arshad, Husnain, 2017. "Life cycle sustainability assessment of electricity generation in Pakistan: Policy regime for a sustainable energy mix," Energy Policy, Elsevier, vol. 111(C), pages 111-126.
    8. Strantzali, Eleni & Aravossis, Konstantinos & Livanos, Georgios A., 2017. "Evaluation of future sustainable electricity generation alternatives: The case of a Greek island," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 775-787.
    9. McKenna, R. & Bertsch, V. & Mainzer, Kai & Fichtner, Wolf, 2016. "Combining local preferences with multi-criteria decision analysis and linear optimisation to develop feasible energy concepts in small communities," Working Paper Series in Production and Energy 16, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    10. Kaya, Tolga & Kahraman, Cengiz, 2010. "Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: The case of Istanbul," Energy, Elsevier, vol. 35(6), pages 2517-2527.
    11. Prasad, Ravita D. & Bansal, R.C. & Raturi, Atul, 2014. "Multi-faceted energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 686-699.
    12. Wulf, David & Bertsch, Valentin, 2016. "A natural language generation approach to support understanding and traceability of multi-dimensional preferential sensitivity analysis in multi-criteria decision making," MPRA Paper 75025, University Library of Munich, Germany.
    13. Mallikarjun, Sreekanth & Lewis, Herbert F., 2014. "Energy technology allocation for distributed energy resources: A strategic technology-policy framework," Energy, Elsevier, vol. 72(C), pages 783-799.
    14. Behzadian, Majid & Kazemzadeh, R.B. & Albadvi, A. & Aghdasi, M., 2010. "PROMETHEE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 200(1), pages 198-215, January.
    15. Mirakyan, Atom & Guio, R.D., 2014. "A methodology in innovative support of the integrated energy planning preparation and orientation phase," Energy, Elsevier, vol. 78(C), pages 916-927.
    16. Lund, P.D., 2007. "The link between political decision-making and energy options: Assessing future role of renewable energy and energy efficiency in Finland," Energy, Elsevier, vol. 32(12), pages 2271-2281.
    17. Wang, Q. & Poh, K.L., 2014. "A survey of integrated decision analysis in energy and environmental modeling," Energy, Elsevier, vol. 77(C), pages 691-702.
    18. Kostas Andriosopoulos, 2013. "Comments on: Multicriteria decision systems for financial problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(2), pages 265-267, July.
    19. Danilo Liuzzi & Veronica Lupi & Aymeric Vié, 2022. "Sustainability, cooperation and mobility of workers within and between European countries: a two-stage goal programming model," Annals of Operations Research, Springer, vol. 311(2), pages 749-769, April.
    20. Sola, Antonio Vanderley Herrero & Mota, Caroline Maria de Miranda & Kovaleski, João Luiz, 2011. "A model for improving energy efficiency in industrial motor system using multicriteria analysis," Energy Policy, Elsevier, vol. 39(6), pages 3645-3654, June.
    21. Bruno Domenech & Laia Ferrer‐Martí & Rafael Pastor, 2019. "Comparison of various approaches to design wind‐PV rural electrification projects in remote areas of developing countries," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(3), May.
    22. Karatas, Mumtaz & Sulukan, Egemen & Karacan, Ilknur, 2018. "Assessment of Turkey's energy management performance via a hybrid multi-criteria decision-making methodology," Energy, Elsevier, vol. 153(C), pages 890-912.
    23. Payam Rashidi & Masoud Homayounifar & Taghi Ebrahimi Salari & Modjtaba Rouhani, 2017. "Measuring Economic and Environmental Performance of Energy Resources in ISIC codes: Evidence from Iran’s Industry Sector," Modern Applied Science, Canadian Center of Science and Education, vol. 11(12), pages 109-109, December.
    24. Sellak, Hamza & Ouhbi, Brahim & Frikh, Bouchra & Palomares, Iván, 2017. "Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1544-1577.
    25. Webb, Amanda L., 2017. "Energy retrofits in historic and traditional buildings: A review of problems and methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 748-759.
    26. Trotter, Philipp A. & McManus, Marcelle C. & Maconachie, Roy, 2017. "Electricity planning and implementation in sub-Saharan Africa: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1189-1209.
    27. Yılmaz, Sebnem & Selim, Hasan, 2013. "A review on the methods for biomass to energy conversion systems design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 420-430.
    28. Cayir Ervural, Beyzanur & Evren, Ramazan & Delen, Dursun, 2018. "A multi-objective decision-making approach for sustainable energy investment planning," Renewable Energy, Elsevier, vol. 126(C), pages 387-402.
    29. Zhixing Li & Mimi Tian & Xiaoqing Zhu & Shujing Xie & Xin He, 2022. "A Review of Integrated Design Process for Building Climate Responsiveness," Energies, MDPI, vol. 15(19), pages 1-35, September.
    30. Ferrer-Martí, Laia & Ferrer, Ivet & Sánchez, Elena & Garfí, Marianna, 2018. "A multi-criteria decision support tool for the assessment of household biogas digester programmes in rural areas. A case study in Peru," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 74-83.
    31. Zhu, H. & Huang, W.W. & Huang, G.H., 2014. "Planning of regional energy systems: An inexact mixed-integer fractional programming model," Applied Energy, Elsevier, vol. 113(C), pages 500-514.
    32. Georgia Makridou, Kostas Andriosopoulos, Michael Doumpos, and Constantin Zopounidis, 2015. "A Two-stage approach for energy efficiency analysis in European Union countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    33. A. Salehnasab & J. Feghi & A. Danekar & J. Soosani & A. Dastranj, 2016. "Forest park site selection based on a Fuzzy analytic hierarchy process framework (Case study: the Galegol Basin, Lorestan province, Iran)," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 62(6), pages 253-263.
    34. Bratanova, Alexandra & Robinson, Jacqueline & Wagner, Liam & Kolegov, Vitaly & Nikitchenko, Aleksey & Nikitchenko, Anna, 2015. "Multiple criteria analysis of policy alternatives to improve energy efficiency in industry in Russia," MPRA Paper 67178, University Library of Munich, Germany.
    35. Govindan, Kannan & Jepsen, Martin Brandt, 2016. "ELECTRE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 250(1), pages 1-29.
    36. Dias, Luis C. & Domingues, Ana Rita, 2014. "On multi-criteria sustainability assessment: Spider-gram surface and dependence biases," Applied Energy, Elsevier, vol. 113(C), pages 159-163.
    37. Çelikbilek, Yakup & Tüysüz, Fatih, 2016. "An integrated grey based multi-criteria decision making approach for the evaluation of renewable energy sources," Energy, Elsevier, vol. 115(P1), pages 1246-1258.
    38. Nayyar Hussain Mirjat & Mohammad Aslam Uqaili & Khanji Harijan & Mohd Wazir Mustafa & Md. Mizanur Rahman & M. Waris Ali Khan, 2018. "Multi-Criteria Analysis of Electricity Generation Scenarios for Sustainable Energy Planning in Pakistan," Energies, MDPI, vol. 11(4), pages 1-33, March.
    39. Marzi, Sepehr & Farnia, Luca & Dasgupta, Shouro & Mysiak, Jaroslav & Lorenzoni, Arturo, 2019. "Competence analysis for promoting energy efficiency projects in developing countries: The case of OPEC," Energy, Elsevier, vol. 189(C).
    40. Ozgur Demirta, 2013. "Evaluating the Best Renewable Energy Technology for Sustainable Energy Plannin," International Journal of Energy Economics and Policy, Econjournals, vol. 3(Special), pages 23-33.
    41. Kahraman, Cengiz & Kaya, İhsan & Cebi, Selcuk, 2009. "A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process," Energy, Elsevier, vol. 34(10), pages 1603-1616.
    42. Yao Yang & Jie Tang & Yucong Duan & Yunke Qu & Feihu Sun & Zhaoyang Li, 2023. "Study on the Relationship between Different Wastewater Treatment Technologies and Effluent Standards in Jilin Liaohe River Basin Based on the Coupled Model of AHP and Fuzzy TOPSIS Method," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
    43. Kamvysi, Konstantina & Gotzamani, Katerina & Andronikidis, Andreas & Georgiou, Andreas C., 2014. "Capturing and prioritizing students’ requirements for course design by embedding Fuzzy-AHP and linear programming in QFD," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1083-1094.
    44. Bracco, Stefano & Delfino, Federico & Pampararo, Fabio & Robba, Michela & Rossi, Mansueto, 2014. "A mathematical model for the optimal operation of the University of Genoa Smart Polygeneration Microgrid: Evaluation of technical, economic and environmental performance indicators," Energy, Elsevier, vol. 64(C), pages 912-922.
    45. Papapostolou, Aikaterini & Karakosta, Charikleia & Nikas, Alexandros & Psarras, John, 2017. "Exploring opportunities and risks for RES-E deployment under Cooperation Mechanisms between EU and Western Balkans: A multi-criteria assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 519-530.
    46. Anjali Singh & Anjana Gupta & Aparna Mehra, 2021. "Best criteria selection based PROMETHEE II method," OPSEARCH, Springer;Operational Research Society of India, vol. 58(1), pages 160-180, March.
    47. J. Cabello & M. Luque & F. Miguel & A. Ruiz & F. Ruiz, 2014. "A multiobjective interactive approach to determine the optimal electricity mix in Andalucía (Spain)," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(1), pages 109-127, April.
    48. Granacher, Julia & Nguyen, Tuong-Van & Castro-Amoedo, Rafael & Maréchal, François, 2022. "Overcoming decision paralysis—A digital twin for decision making in energy system design," Applied Energy, Elsevier, vol. 306(PA).
    49. Dutta, Geetartha & Mukerji, Tapan & Eidsvik, Jo, 2019. "Value of information analysis for subsurface energy resources applications," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    50. Mario Martín-Gamboa & Luis C. Dias & Paula Quinteiro & Fausto Freire & Luís Arroja & Ana Cláudia Dias, 2019. "Multi-Criteria and Life Cycle Assessment of Wood-Based Bioenergy Alternatives for Residential Heating: A Sustainability Analysis," Energies, MDPI, vol. 12(22), pages 1-17, November.
    51. Strantzali, Eleni & Aravossis, Konstantinos, 2016. "Decision making in renewable energy investments: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 885-898.
    52. Domenech, B. & Ferrer-Martí, L. & Pastor, R., 2015. "Hierarchical methodology to optimize the design of stand-alone electrification systems for rural communities considering technical and social criteria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 182-196.
    53. Grebel, Thomas & Stützer, Michael, 2014. "Assessment of the environmental performance of European countries over time: Addressing the role of carbon leakage and nuclear waste," Ilmenau Economics Discussion Papers 90, Ilmenau University of Technology, Institute of Economics.
    54. Fengsheng Chien & Chia-Nan Wang & Viet Tinh Nguyen & Van Thanh Nguyen & Ka Yin Chau, 2020. "An Evaluation Model of Quantitative and Qualitative Fuzzy Multi-Criteria Decision-Making Approach for Hydroelectric Plant Location Selection," Energies, MDPI, vol. 13(11), pages 1-14, June.
    55. Mourmouris, J.C. & Potolias, C., 2013. "A multi-criteria methodology for energy planning and developing renewable energy sources at a regional level: A case study Thassos, Greece," Energy Policy, Elsevier, vol. 52(C), pages 522-530.
    56. Jayaraman, Raja & Colapinto, Cinzia & Torre, Davide La & Malik, Tufail, 2015. "Multi-criteria model for sustainable development using goal programming applied to the United Arab Emirates," Energy Policy, Elsevier, vol. 87(C), pages 447-454.
    57. Simone Steinhilber & Jutta Geldermann & Martin Wietschel, 2016. "Renewables in the EU after 2020: a multi-criteria decision analysis in the context of the policy formation process," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 4(1), pages 119-155, June.
    58. Jeffrey S. Stonebraker, 2013. "Product-Generation Transition Decision Making for Bayer's Hemophilia Drugs: Global Capacity Expansion Under Uncertainty with Supply-Demand Imbalances," Operations Research, INFORMS, vol. 61(5), pages 1119-1133, October.
    59. Barnaś, Krzysztof & Jeleński, Tomasz & Nowak-Ocłoń, Marzena & Racoń-Leja, Kinga & Radziszewska-Zielina, Elżbieta & Szewczyk, Bartłomiej & Śladowski, Grzegorz & Toś, Cezary & Varbanov, Petar Sabev, 2023. "Algorithm for the comprehensive thermal retrofit of housing stock aided by renewable energy supply: A sustainable case for Krakow," Energy, Elsevier, vol. 263(PD).
    60. Campos-Guzmán, Verónica & García-Cáscales, M. Socorro & Espinosa, Nieves & Urbina, Antonio, 2019. "Life Cycle Analysis with Multi-Criteria Decision Making: A review of approaches for the sustainability evaluation of renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 343-366.
    61. Aleksandra Kaczyńska & Piotr Sulikowski & Jarosław Wątróbski & Wojciech Sałabun, 2023. "Enhancing Sustainable Assessment of Electric Vehicles: A Comparative Study of the TOPSIS Technique with Interval Numbers for Uncertainty Management," Energies, MDPI, vol. 16(18), pages 1-17, September.
    62. Scott, James A. & Ho, William & Dey, Prasanta K., 2012. "A review of multi-criteria decision-making methods for bioenergy systems," Energy, Elsevier, vol. 42(1), pages 146-156.
    63. Manfren, Massimiliano & Aste, Niccolò & Moshksar, Reza, 2013. "Calibration and uncertainty analysis for computer models – A meta-model based approach for integrated building energy simulation," Applied Energy, Elsevier, vol. 103(C), pages 627-641.
    64. Baležentis, Tomas & Streimikiene, Dalia, 2017. "Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation," Applied Energy, Elsevier, vol. 185(P1), pages 862-871.
    65. Choudhary, Devendra & Shankar, Ravi, 2012. "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India," Energy, Elsevier, vol. 42(1), pages 510-521.
    66. Dagoumas, Athanasios S. & Koltsaklis, Nikolaos E., 2019. "Review of models for integrating renewable energy in the generation expansion planning," Applied Energy, Elsevier, vol. 242(C), pages 1573-1587.
    67. Gabriela D. Oliveira & Luis C. Dias, 2020. "The potential learning effect of a MCDA approach on consumer preferences for alternative fuel vehicles," Annals of Operations Research, Springer, vol. 293(2), pages 767-787, October.
    68. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.

  136. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Comparing aggregating methods for constructing the composite environmental index: An objective measure," Ecological Economics, Elsevier, vol. 59(3), pages 305-311, September.

    Cited by:

    1. Tayfun Büke & Aylin Çiğdem Köne, 2016. "Assessing Air Quality in Turkey: A Proposed, Air Quality Index," Sustainability, MDPI, vol. 8(1), pages 1-8, January.
    2. Vijaya Krishnan, 2015. "Development of a Multidimensional Living Conditions Index (LCI)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(2), pages 455-481, January.
    3. Picazo-Tadeo, Andrés J. & Castillo-Giménez, Juana & Beltrán-Esteve, Mercedes, 2014. "An intertemporal approach to measuring environmental performance with directional distance functions: Greenhouse gas emissions in the European Union," Ecological Economics, Elsevier, vol. 100(C), pages 173-182.
    4. Hatefi, S.M. & Torabi, S.A., 2010. "A common weight MCDA-DEA approach to construct composite indicators," Ecological Economics, Elsevier, vol. 70(1), pages 114-120, November.
    5. P. Zhou & B. Ang & D. Zhou, 2010. "Weighting and Aggregation in Composite Indicator Construction: a Multiplicative Optimization Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 96(1), pages 169-181, March.
    6. Ruiz, Francisco & El Gibari, Samira & Cabello, José M. & Gómez, Trinidad, 2020. "MRP-WSCI: Multiple reference point based weak and strong composite indicators," Omega, Elsevier, vol. 95(C).
    7. Peng Zhang & Yuwei Zhang & Nuo Xu, 2022. "Measurement of carbon finance level and exploration of its influencing factors," Papers 2206.00189, arXiv.org.
    8. Patrick Nussbaumer & Morgan Bazilian & Vijay Modi & Kandeh K. Yumkella, 2011. "Measuring Energy Poverty: Focusing on What Matters," OPHI Working Papers 42, Queen Elizabeth House, University of Oxford.
    9. Milica Maricic & Jose A. Egea & Veljko Jeremic, 2019. "A Hybrid Enhanced Scatter Search—Composite I-Distance Indicator (eSS-CIDI) Optimization Approach for Determining Weights Within Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 497-537, July.
    10. Zhou, P. & Delmas, M.A. & Kohli, A., 2017. "Constructing meaningful environmental indices: A nonparametric frontier approach," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 21-34.
    11. Claudia Seidel & Thomas Heckelei & Sebastian Lakner, 2019. "Conventionalization of Organic Farms in Germany: An Empirical Investigation Based on a Composite Indicator Approach," Sustainability, MDPI, vol. 11(10), pages 1-16, May.
    12. Miller, Harvey J. & Witlox, Frank & Tribby, Calvin P., 2013. "Developing context-sensitive livability indicators for transportation planning: a measurement framework," Journal of Transport Geography, Elsevier, vol. 26(C), pages 51-64.
    13. Emma J. Dillon & Thia Hennessy & Stephen Hynes & Verena Commins, 2008. "Assessing the Sustainability of Irish Agriculture," Working Papers 0809, Rural Economy and Development Programme,Teagasc.
    14. Alexandre André Feil & Iane Brito Reiter & Renata Oberherr & Virgílio José Strasburg & Dusan Schreiber, 2022. "Analysis and measurement of the sustainability level in the furniture industry," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13657-13682, December.
    15. Đorđe Mitrović, 2015. "Broadband Adoption, Digital Divide, And The Global Economic Competitiveness Of Western Balkan Countries," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 60(207), pages 95-116, September.
    16. Carrillo, Marianela & Jorge, Jesús M., 2017. "Multidimensional Analysis of Regional Tourism Sustainability in Spain," Ecological Economics, Elsevier, vol. 140(C), pages 89-98.
    17. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    18. Lin, Chia-Yang & Chau, Ka Yin & Tran, Trung Kien & Sadiq, Muhammad & Van, Le & Hien Phan, Thi Thu, 2022. "Development of renewable energy resources by green finance, volatility and risk: Empirical evidence from China," Renewable Energy, Elsevier, vol. 201(P1), pages 821-831.
    19. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2013. "An evaluation framework for oil import security based on the supply chain with a case study focused on China," Energy Economics, Elsevier, vol. 38(C), pages 87-95.
    20. Zhang, L.P. & Zhou, P., 2018. "A non-compensatory composite indicator approach to assessing low-carbon performance," European Journal of Operational Research, Elsevier, vol. 270(1), pages 352-361.
    21. M. M. Segovia-González & I. Contreras, 2023. "A Composite Indicator to Compare the Performance of Male and Female Students in Educational Systems," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(1), pages 181-212, January.
    22. Zhou, P. & Ang, B.W. & Poh, K.L., 2007. "A mathematical programming approach to constructing composite indicators," Ecological Economics, Elsevier, vol. 62(2), pages 291-297, April.
    23. Ane Pan & Darrell Bosch & Huimin Ma, 2017. "Assessing Water Poverty in China Using Holistic and Dynamic Principal Component Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(2), pages 537-561, January.
    24. Ji, Qiang & Zhang, Hai-Ying & Zhang, Dayong, 2019. "The impact of OPEC on East Asian oil import security: A multidimensional analysis," Energy Policy, Elsevier, vol. 126(C), pages 99-107.
    25. Nichiforel, Liviu & Keary, Kevin & Deuffic, Philippe & Weiss, Gerhard & Thorsen, Bo Jellesmark & Winkel, Georg & Avdibegović, Mersudin & Dobšinská, Zuzana & Feliciano, Diana & Gatto, Paola & Gorriz Mi, 2018. "How private are Europe’s private forests? A comparative property rights analysis," Land Use Policy, Elsevier, vol. 76(C), pages 535-552.
    26. Brajer, Victor & Mead, Robert W. & Xiao, Feng, 2011. "Searching for an Environmental Kuznets Curve in China's air pollution," China Economic Review, Elsevier, vol. 22(3), pages 383-397, September.
    27. Wang Chang & Yun Zhu & Che-Jen Lin & Saravanan Arunachalam & Shuxiao Wang & Jia Xing & Tingting Fang & Shicheng Long & Jinying Li & Geng Chen, 2022. "Environmental Justice Assessment of Fine Particles, Ozone, and Mercury over the Pearl River Delta Region, China," Sustainability, MDPI, vol. 14(17), pages 1-15, August.
    28. Rehana Shrestha & Johannes Flacke & Javier Martinez & Martin Van Maarseveen, 2016. "Environmental Health Related Socio-Spatial Inequalities: Identifying “Hotspots” of Environmental Burdens and Social Vulnerability," IJERPH, MDPI, vol. 13(7), pages 1-23, July.
    29. Pin Li & Jin-Suo Zhang, 2018. "A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost," Energies, MDPI, vol. 11(7), pages 1-28, June.
    30. Pollesch, N.L. & Dale, V.H., 2016. "Normalization in sustainability assessment: Methods and implications," Ecological Economics, Elsevier, vol. 130(C), pages 195-208.
    31. Ju, Keyi & Su, Bin & Zhou, Dequn & Zhou, P. & Zhang, Yuqiang, 2015. "Oil price crisis response: Capability assessment and key indicator identification," Energy, Elsevier, vol. 93(P2), pages 1353-1360.
    32. Pin Li & Jinsuo Zhang, 2019. "Is China’s Energy Supply Sustainable? New Research Model Based on the Exponential Smoothing and GM(1,1) Methods," Energies, MDPI, vol. 12(2), pages 1-30, January.
    33. Dillon, Emma J. & Hennessy, Thia C. & Hynes, Stephen, 2009. "Towards Measurement of Farm Sustainability - an Irish case study," 2009 Conference, August 16-22, 2009, Beijing, China 51786, International Association of Agricultural Economists.
    34. Edson Kogachi & Adonias Ferreira & Carlos Cavalcante & Marcelo Embiruçu, 2021. "Development of Performance Evaluation Indicators for Table Grape Packaging Units. 2. Global Indexes," Sustainability, MDPI, vol. 13(11), pages 1-16, June.
    35. Magdalena Ligus & Piotr Peternek, 2021. "The Sustainable Energy Development Index—An Application for European Union Member States," Energies, MDPI, vol. 14(4), pages 1-32, February.
    36. H. K. Millington & J. E. Lovell & C. A. K. Lovell, 2013. "Using Fieldwork, GIS and DEA to Guide Management of Urban Stream Health," CEPA Working Papers Series WP072013, School of Economics, University of Queensland, Australia.
    37. Yelin Fu & Yubing Sui & Hao Luo & Biao Han, 2020. "Application of Social Choice Theory to Modify the Value Measure of Health Systems," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(3), pages 1005-1019, April.
    38. Arbolino, Roberta & Yigitcanlar, Tan & L’Abbate, Pasqua & Ioppolo, Giuseppe, 2019. "Effective growth policymaking: Estimating provincial territorial development potentials," Land Use Policy, Elsevier, vol. 86(C), pages 313-321.
    39. Andrés J. Picazo-Tadeo & Juana Castillo & Mercedes Beltrán-Esteve, 2013. "A dynamic approach to measuring ecological-economic performance with directional distance functions: greenhouse gas emissions in the European Union," Working Papers 1304, Department of Applied Economics II, Universidad de Valencia.
    40. Franciely Velozo Aragão & Daiane Maria de Genaro Chiroli & Fernanda Cavicchioli Zola & Emanuely Velozo Aragão & Luis Henrique Nogueira Marinho & Ana Lidia Cascales Correa & João Carlos Colmenero, 2023. "Smart Cities Maturity Model—A Multicriteria Approach," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    41. Lee, Timothy & Yao, Runming & Coker, Phil, 2014. "An analysis of UK policies for domestic energy reduction using an agent based tool," Energy Policy, Elsevier, vol. 66(C), pages 267-279.
    42. Millington, H.K. & Lovell, J.E. & Lovell, C.A.K., 2015. "A framework for guiding the management of urban stream health," Ecological Economics, Elsevier, vol. 109(C), pages 222-233.
    43. Arbolino, Roberta & Boffardi, Raffaele & Lanuzza, Francesco & Ioppolo, Giuseppe, 2018. "Monitoring and evaluation of regional industrial sustainability: Evidence from Italian regions," Land Use Policy, Elsevier, vol. 75(C), pages 420-428.
    44. Chang, Lei & Taghizadeh-Hesary, Farhad & Saydaliev, Hayot Berk, 2022. "How do ICT and renewable energy impact sustainable development?," Renewable Energy, Elsevier, vol. 199(C), pages 123-131.
    45. Xiuzhen, Xie & Zheng, Wenxiu & Umair, Muhammad, 2022. "Testing the fluctuations of oil resource price volatility: A hurdle for economic recovery," Resources Policy, Elsevier, vol. 79(C).
    46. Cory Searcy, 2012. "Corporate Sustainability Performance Measurement Systems: A Review and Research Agenda," Journal of Business Ethics, Springer, vol. 107(3), pages 239-253, May.
    47. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
    48. Azevedo, Susana G. & Govindan, Kannan & Carvalho, Helena & Cruz-Machado, V., 2012. "An integrated model to assess the leanness and agility of the automotive industry," Resources, Conservation & Recycling, Elsevier, vol. 66(C), pages 85-94.
    49. Francisco J. Blancas-Peral & Ignacio Contreras & José M. Ramírez-Hurtado, 2014. "Choosing a travel agency franchise by mean of a global composite indicator: an application in Spain," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(1), pages 153-173, February.
    50. Sacchidananda Mukherjee & Debashis Chakraborty, 2007. "Environment, Human Development and Economic Growth after Liberalisation : An Analysis of Indian States," Development Economics Working Papers 22505, East Asian Bureau of Economic Research.
    51. Liu, Yang & Dilanchiev, Azer & Xu, Kaifei & Hajiyeva, Aytan Merdan, 2022. "Financing SMEs and business development as new post Covid-19 economic recovery determinants," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 554-567.
    52. Lili Wan & Qiuping Peng & Jiuhe Wang & Yong Tian & Can Xu, 2020. "Evaluation of Airport Sustainability by the Synthetic Evaluation Method: A Case Study of Guangzhou Baiyun International Airport, China, from 2008 to 2017," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    53. Riccardo Natoli & Segu Zuhair, 2011. "Measuring Progress: A Comparison of the GDP, HDI, GS and the RIE," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 103(1), pages 33-56, August.
    54. Miguel F. Salvado & Susana G. Azevedo & João C. O. Matias & Luís M. Ferreira, 2015. "Proposal of a Sustainability Index for the Automotive Industry," Sustainability, MDPI, vol. 7(2), pages 1-32, February.
    55. Tianjiao Wang & Yelin Fu, 2020. "Constructing Composite Indicators with Individual Judgements and Best–Worst Method: An Illustration of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 1-14, May.
    56. Huang, Weiting & He, Jia, 2023. "Impact of energy intensity, green economy, and natural resources development to achieve sustainable economic growth in Asian countries," Resources Policy, Elsevier, vol. 84(C).
    57. Chun Liu & Gui-hua Nie, 2021. "Identifying the Driving Factors of Food Nitrogen Footprint in China, 2000–2018: Econometric Analysis of Provincial Spatial Panel Data by the STIRPAT Model," Sustainability, MDPI, vol. 13(11), pages 1-23, May.
    58. Issaka Dialga, 2017. "A Sustainability Index of Mining Countries," Working Papers halshs-01500643, HAL.
    59. Jie Zhang & Majed Alharthi & Qaiser Abbas & Weiqing Li & Muhammad Mohsin & Khan Jamal & Farhad Taghizadeh-Hesary, 2020. "Reassessing the Environmental Kuznets Curve in Relation to Energy Efficiency and Economic Growth," Sustainability, MDPI, vol. 12(20), pages 1-21, October.
    60. Fabio Boncinelli & Leonardo Casini, 2014. "A Comparison of the Well-Being of Agricultural and Non Agricultural Households Using a Multicriterial Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(1), pages 183-195, October.
    61. Cheng Peng & Xunbo Wu & Yelin Fu & Kin Keung Lai, 2017. "Alternative approaches to constructing composite indicators: an application to construct a Sustainable Energy Index for APEC economies," Operational Research, Springer, vol. 17(3), pages 747-759, October.
    62. Seulkee Heo & Jong-Tae Lee, 2013. "Study of Environmental Health Problems in Korea Using Integrated Environmental Health Indicators," IJERPH, MDPI, vol. 10(8), pages 1-17, July.
    63. Mohsin, M. & Zhou, P. & Iqbal, N. & Shah, S.A.A., 2018. "Assessing oil supply security of South Asia," Energy, Elsevier, vol. 155(C), pages 438-447.
    64. See, Kok Fong & Ng, Ying Chu & Yu, Ming-Miin, 2022. "An alternative assessment approach to national higher education system evaluation," Evaluation and Program Planning, Elsevier, vol. 94(C).
    65. Heidi K. Edmonds & Julie E. Lovell & C. A. Knox Lovell, 2017. "A New Composite Index for Greenhouse Gases: Climate Science Meets Social Science," Resources, MDPI, vol. 6(4), pages 1-16, October.
    66. Omrani, Hashem & Fahimi, Pegah & Mahmoodi, Abdollah, 2020. "A data envelopment analysis game theory approach for constructing composite indicator: An application to find out development degree of cities in West Azarbaijan province of Iran," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    67. Azevedo, Susana G. & Govindan, Kannan & Carvalho, Helena & Cruz-Machado, V., 2011. "GResilient index to assess the greenness and resilience of the automotive supply chain," Discussion Papers on Economics 8/2011, University of Southern Denmark, Department of Economics.
    68. Bellenger, Moriah J. & Herlihy, Alan T., 2010. "Performance-based environmental index weights: Are all metrics created equal?," Ecological Economics, Elsevier, vol. 69(5), pages 1043-1050, March.
    69. Mukherjee, Sacchidananda & Chakraborty, Debashis, 2009. "Is there any relationship between Environmental Quality Index, Human Development Index and Economic Growth? Evidences from Indian States," MPRA Paper 17207, University Library of Munich, Germany.
    70. Samira El Gibari & Trinidad Gómez & Francisco Ruiz, 2019. "Building composite indicators using multicriteria methods: a review," Journal of Business Economics, Springer, vol. 89(1), pages 1-24, February.
    71. Wang, H. & Zhou, P. & Wang, Qunwei, 2016. "Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach," Energy, Elsevier, vol. 101(C), pages 218-228.
    72. P. Zhou & B. Ang, 2009. "Comparing MCDA Aggregation Methods in Constructing Composite Indicators Using the Shannon-Spearman Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(1), pages 83-96, October.
    73. Susana Garrido Azevedo & Helena Carvalho & Luís M. Ferreira & João C. O. Matias, 2017. "A proposed framework to assess upstream supply chain sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2253-2273, December.

Chapters

  1. Peng Zhou & Kim Leng Poh & Beng Wah Ang, 2016. "Data Envelopment Analysis for Measuring Environmental Performance," International Series in Operations Research & Management Science, in: Shiuh-Nan Hwang & Hsuan-Shih Lee & Joe Zhu (ed.), Handbook of Operations Analytics Using Data Envelopment Analysis, chapter 0, pages 31-49, Springer.

    Cited by:

    1. Christina Bampatsou & George Halkos, 2021. "Non-Parametric Computational Measures for the Analysis of Resource Productivity," Energies, MDPI, vol. 14(11), pages 1-14, May.
    2. Patrick Gasser & Marco Cinelli & Anna Labijak & Matteo Spada & Peter Burgherr & Miłosz Kadziński & Božidar Stojadinović, 2020. "Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis," Energies, MDPI, vol. 13(7), pages 1-35, March.
    3. Izhar Hussain Shah & Hung‐Suck Park, 2021. "Chronological change of resource metabolism and decarbonization patterns in Pakistan: Perspectives from a typical developing country," Journal of Industrial Ecology, Yale University, vol. 25(1), pages 144-161, February.
    4. Adenuga, A. & Davis, J. & Hutchinson, G. & Donnellan, T. & Patton, M., 2018. "Valuing Agricultural Externalities: Nitrogen Surplus in the Dairy Sector on the Island of Ireland," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277434, International Association of Agricultural Economists.
    5. Payam Rashidi & Masoud Homayounifar & Taghi Ebrahimi Salari & Modjtaba Rouhani, 2017. "Measuring Economic and Environmental Performance of Energy Resources in ISIC codes: Evidence from Iran’s Industry Sector," Modern Applied Science, Canadian Center of Science and Education, vol. 11(12), pages 109-109, December.
    6. Jianting Lin & Changxin Xu, 2017. "The Impact of Environmental Regulation on Total Factor Energy Efficiency: A Cross-Region Analysis in China," Energies, MDPI, vol. 10(10), pages 1-17, October.
    7. Wasim Sultan & José Crispim, 2016. "Evaluating the Productive Efficiency of Jordanian Public Hospitals," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(1), pages 1-68, December.
    8. Kuhn, Lena & Balezentis, Tomas & Hou, Lingling & Wang, Dan, 2020. "Technical and environmental efficiency of livestock farms in China: A slacks-based DEA approach," China Economic Review, Elsevier, vol. 62(C).
    9. Zhao, Linlin & Zha, Yong & Zhuang, Yuliang & Liang, Liang, 2019. "Data envelopment analysis for sustainability evaluation in China: Tackling the economic, environmental, and social dimensions," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1083-1095.
    10. Seyed Ali Rakhshan, 2017. "Efficiency ranking of decision making units in data envelopment analysis by using TOPSIS-DEA method," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(8), pages 906-918, August.
    11. Adewale Henry Adenuga & John Davis & George Hutchinson & Trevor Donnellan & Myles Patton, 2019. "Environmental Efficiency and Pollution Costs of Nitrogen Surplus in Dairy Farms: A Parametric Hyperbolic Technology Distance Function Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1273-1298, November.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.