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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

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.
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).
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. 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).
2. 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).
3. 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).
4. 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).
5. 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).
6. Maurizio Sibilla & Esra Kurul, 2023. "Towards Social Understanding of Energy Storage Systems—A Perspective," Energies, MDPI, vol. 16(19), pages 1-11, September.
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.
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).
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. 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.
2. 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.
3. 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).
4. 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).
5. 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.
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. 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).
2. 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.
3. 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).
4. 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.
5. 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).
6. 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.
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).
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.
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.
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).
Wang, Wenya & Fan, L.W. & Zhou, P., 2022. "Evolution of global fossil fuel trade dependencies," Energy, Elsevier, vol. 238(PC).
Cited by:
1. 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).
2. 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).
3. 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.
4. 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).
5. 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).
6. 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).
7. 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).
8. 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).
9. 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.
10. 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).
11. 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).
12. 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).
13. 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).
14. 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).
15. 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).
16. 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).
17. 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.
18. 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.
19. 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).
20. 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.
21. 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.
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.
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).
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).
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. 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.
3. 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).
4. 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.
5. 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).
6. 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.
7. 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).
8. 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.
9. 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.
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).
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. 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).
2. 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).
3. 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.
4. 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.
5. 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).
6. 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).
7. 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.
8. 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).
9. 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).
10. 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).
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. 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).
2. 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).
3. 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).
4. 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).
5. 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).
6. 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.
7. 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.
8. Grafström, Jonas & Poudineh, Rahmat, 2023. "No evidence of counteracting policy effects on European solar power invention and diffusion," Energy Policy, Elsevier, vol. 172(C).
9. 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).
10. 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.
11. 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).
12. 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).
13. 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.
14. Grafström, Jonas & Poudineh, Rahmat, 2023. "Invention and Diffusion in the Solar Power Sector," Ratio Working Papers 364, The Ratio Institute.
15. 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).
16. 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.
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. 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).
3. 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.
4. 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).
5. 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).
6. 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).
7. 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).
8. 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).
9. 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.
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).
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. Zhao, Guimei & Li, Wenxiu & Geng, Yong & Bleischwitz, Raimund, 2023. "Uncovering the features of global antimony resource trade network," Resources Policy, Elsevier, vol. 85(PA).
2. Cary, Michael, 2023. "Climate policy boosts trade competitiveness: Evidence from timber trade networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
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. 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).
3. 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.
4. 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.
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. 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.
7. 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).
8. 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.
9. Grafström, Jonas & Poudineh, Rahmat, 2023. "No evidence of counteracting policy effects on European solar power invention and diffusion," Energy Policy, Elsevier, vol. 172(C).
10. 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).
11. 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).
12. 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.
13. 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).
14. 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).
15. 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.
16. 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.
17. 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.
18. 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.
19. Grafström, Jonas & Poudineh, Rahmat, 2023. "Invention and Diffusion in the Solar Power Sector," Ratio Working Papers 364, The Ratio Institute.
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).
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. 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.
2. 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).
3. Yuan Yuan & Feng Cai & Lingling Yang, 2020. "Renewable Energy Investment under Carbon Emission Regulations," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
4. 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).
5. 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.
6. 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.
7. 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.
8. 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.
9. Thayla Zomer & Paulo Savaget, 2023. "Disentangling Decarbonisation Ambidexterity: An Analysis of European Companies," Sustainability, MDPI, vol. 15(13), pages 1-17, July.
10. Yinping Mu & Juan Zhao, 2023. "Production Strategy and Technology Innovation under Different Carbon Emission Polices," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
11. 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.
12. 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.
13. Sim, Jeongeun & Kim, Bowon, 2021. "Regulatory versus consumer pressure and retailer responsibility for upstream pollution in a supply chain," Omega, Elsevier, vol. 101(C).
14. 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.
15. 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).
16. 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.
17. 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.
18. 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.
19. 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).
20. 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).
21. 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.
22. 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.
23. 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.
24. 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.
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. Amoako, Samuel & Andoh, Francis Kwaw & Asmah, Emmanuel Ekow, 2023. "Technological advancement, sectoral growth, and electricity consumption in Ghana," Energy, Elsevier, vol. 263(PB).
2. 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).
3. 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).
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. 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).
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).
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. 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).
7. 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).
8. 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.
9. 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).
10. 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).
11. 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).
12. 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.
13. 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.
14. 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.
15. Popkova, Elena G. & Sergi, Bruno S., 2021. "Energy efficiency in leading emerging and developed countries," Energy, Elsevier, vol. 221(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.
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. 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).
3. 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.
4. 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.
5. 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.
6. 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.
7. 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).
8. 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.
9. 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).
10. 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.
11. 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.
12. 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).
13. 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).
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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).
20. 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.
21. 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.
22. 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.
23. 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.
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.
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. Zhu, Junpeng & Lin, Boqiang, 2022. "Economic growth pressure and energy efficiency improvement: Empirical evidence from Chinese cities," Applied Energy, Elsevier, vol. 307(C).
2. 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.
3. 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).
4. 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.
5. 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).
6. 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.
7. 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).
8. 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.
9. 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.
10. 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.
11. 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.
12. 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).
13. 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).
14. 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).
15. 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).
16. 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).
17. Wang, Ailun & Hu, Shuo & Lin, Boqiang, 2021. "Emission abatement cost in China with consideration of technological heterogeneity," Applied Energy, Elsevier, vol. 290(C).
18. 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.
19. 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.
20. 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).
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.
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. 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. 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.
3. 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.
4. 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).
5. 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.
6. 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.
7. 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).
8. 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).
9. 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.
10. Wang, Ailun & Hu, Shuo & Lin, Boqiang, 2021. "Emission abatement cost in China with consideration of technological heterogeneity," Applied Energy, Elsevier, vol. 290(C).
11. 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.
12. 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).
13. 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.
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. 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.
16. 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).
17. 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).
18. 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).
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. 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.
2. 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).
3. 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.
4. Yuan Yuan & Feng Cai & Lingling Yang, 2020. "Renewable Energy Investment under Carbon Emission Regulations," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
5. 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.
6. 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.
7. 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).
8. 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).
9. 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.
10. O'Shaughnessy, Eric, 2022. "Rooftop solar incentives remain effective for low- and moderate-income adoption," Energy Policy, Elsevier, vol. 163(C).
11. 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).
12. 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.
13. 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.
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.
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).
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. 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).
2. 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.
3. 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).
4. 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).
5. 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).
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. 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).
8. 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.
9. 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).
10. 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.
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).
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.
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. 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.
4. 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).
5. 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).
6. 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).
7. Austmann, Leonhard M., 2021. "Drivers of the electric vehicle market: A systematic literature review of empirical studies," Finance Research Letters, Elsevier, vol. 41(C).
8. 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.
9. Zheng, Xuemei & Menezes, Flavio & Zheng, Xiaofeng & Wu, Chengkuan, 2022. "An empirical assessment of the impact of subsidies on EV adoption in China: A difference-in-differences approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 121-136.
  - 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.
10. 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.
11. 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).
12. 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).
13. 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.
14. 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.
15. Yongqing Xiong & Shufeng Qin, 2021. "Differences in the effects of Chinaâ€™s new energy vehicle industry policies on market growth from the perspective of policy mix," Energy & Environment, , vol. 32(3), pages 542-561, May.
16. 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.
17. 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.
18. 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).
19. 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).
20. 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).
21. 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.
22. Wu, Wei & Lin, Boqiang, 2021. "Benefits of electric vehicles integrating into power grid," Energy, Elsevier, vol. 224(C).
23. 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.
24. 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).
25. Neij, Lena & Nemet, Gregory, 2022. "Accelerating the low-carbon transition will require policy to enhance local learning," Energy Policy, Elsevier, vol. 167(C).
26. 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.
27. 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.
28. 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.
29. 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).
30. 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.
31. 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).
32. 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).
33. 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).
34. 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.
35. 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).
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. 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.
2. 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).
3. 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).
4. 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).
5. 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).
6. 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.
7. 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).
8. 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).
9. Lin, Boqiang & Wang, Miao, 2021. "What drives energy intensity fall in China? Evidence from a meta-frontier approach," Applied Energy, Elsevier, vol. 281(C).
10. 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).
11. 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.
12. 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).
13. 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.
14. 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.
15. 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).
16. 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).
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. 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.
2. 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).
3. 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).
4. 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).
5. 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).
6. 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.
7. 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.
8. 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).
9. 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).
10. 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).
11. 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).
12. 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).
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).
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).
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.
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.
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. 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.
2. 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.
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. 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).
5. 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).
6. 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.
  - Bagchi, Prantik & Sahu, Santosh Kumar & Kumar, Ajay & Tan, Kim Hua, 2022. "Analysis of carbon productivity for firms in the manufacturing sector of India," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
7. 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).
8. Zhou, Xun & Kuosmanen, Timo, 2020. "What drives decarbonization of new passenger cars?," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1043-1057.
9. 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.
10. 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.
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. 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.
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. 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.
15. 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).
16. 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).
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).
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. 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).
2. 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.
3. 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.
4. 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).
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
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.
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. Wang, Wenya & Fan, L.W. & Zhou, P., 2022. "Evolution of global fossil fuel trade dependencies," Energy, Elsevier, vol. 238(PC).
3. 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.
4. 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).
5. 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.
6. 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).
7. 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.
8. 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.
9. 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).
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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).
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).
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. 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.
4. 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).
5. 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).
6. 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.
7. 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.
8. 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.
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).
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. 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.
3. 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).
4. 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.
5. 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).
6. 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).
7. 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).
8. 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.
9. 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.
10. 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.
  - Aysan, Ahmet Faruk & Polat, Ali Yavuz & Tekin, Hasan & Tunalı, Ahmet Semih, 2022. "The Ascent of Geopolitics: Scientometric Analysis and Ramifications of Geopolitical Risk," MPRA Paper 112741, University Library of Munich, Germany.
11. 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.
12. 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.
13. 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).
14. 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).
15. 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).
16. Ashfaq, Saleha & Tang, Yong & Maqbool, Rashid, 2023. "Insights of energy and its trade networking impacts on sustainable economic development," Energy, Elsevier, vol. 265(C).
17. 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).
18. 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).
19. Gong, Xu & Sun, Yi & Du, Zhili, 2022. "Geopolitical risk and China's oil security," Energy Policy, Elsevier, vol. 163(C).
20. 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.
21. 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.
22. 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.
23. 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).
24. 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).
25. 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).
26. 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).
27. Li, ChangZheng & Umair, Muhammad, 2023. "Does green finance development goals affects renewable energy in China," Renewable Energy, Elsevier, vol. 203(C), pages 898-905.
28. 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.
29. 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).
30. 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.
31. 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.
32. 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.
33. 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).
34. 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).
35. 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).
36. 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).
37. 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.
38. 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.
39. 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).
40. 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).
41. 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).
42. 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.
43. 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.
44. Wang, Kai-Hua & Su, Chi-Wei & Umar, Muhammad, 2021. "Geopolitical risk and crude oil security: A Chinese perspective," Energy, Elsevier, vol. 219(C).
45. 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.
46. 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.
47. 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).
48. 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.
49. 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).
50. 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.
51. 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).
52. 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).
53. 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).
54. 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.
55. 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).
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. 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.
2. Jana, Sebak Kumar & Lise, Wietze, 2023. "Carbon Emissions from Energy Use in India: Decomposition Analysis," MPRA Paper 117245, University Library of Munich, Germany.
3. 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.
4. 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).
5. 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.
6. 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).
7. 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).
8. 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.
9. 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.
10. 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).
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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).
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. 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.
3. Ouyang, Jianjun & Fu, Jie, 2023. "Energy-saving and subsidy policy decisions for double competition manufacturers," Energy Economics, Elsevier, vol. 117(C).
4. 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).
5. 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).
6. 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.
7. Lv, Miaochen & Bai, Manying, 2021. "Evaluation of China's carbon emission trading policy from corporate innovation," Finance Research Letters, Elsevier, vol. 39(C).
8. 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).
9. 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.
10. Sim, Jeongeun & Kim, Bowon, 2021. "Regulatory versus consumer pressure and retailer responsibility for upstream pollution in a supply chain," Omega, Elsevier, vol. 101(C).
11. 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.
12. 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.
13. 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).
14. 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).
15. Chen, Xing & Lin, Boqiang, 2021. "Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China," Energy Policy, Elsevier, vol. 157(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).
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. 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.
2. 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).
3. 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.
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. 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.
6. 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).
7. Zhou, Xun & Kuosmanen, Timo, 2020. "What drives decarbonization of new passenger cars?," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1043-1057.
8. 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.
9. 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).
10. 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.
11. 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.
12. 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).
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. 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.
15. 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.
16. 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).
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. 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.
19. 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.
20. 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).
21. 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.
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.
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. 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.
5. 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).
6. 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).
7. 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).
8. 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).
9. 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.
10. 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).
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.
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. 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).
2. 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).
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. 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.
5. 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).
6. 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.
7. 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).
8. 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.
9. 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).
10. 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.
11. 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.
12. 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).
13. 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).
14. 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.
15. 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.
16. 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).
17. 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).
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.
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. Huang, Rui & Lv, Guonian, 2021. "The climate economic effect of technology spillover," Energy Policy, Elsevier, vol. 159(C).
2. 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.
3. 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).
4. 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.
5. 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).
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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).
12. 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.
13. 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).
14. 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).
15. 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.
16. 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).
17. 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.
18. 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.
19. 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.
20. Huang, Junbing & Xiang, Shiqi & Wang, Yajun & Chen, Xiang, 2021. "Energy-saving R&D and carbon intensity in China," Energy Economics, Elsevier, vol. 98(C).
21. 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).
22. 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).
23. 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).
24. 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).
25. 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).
26. Zhou, Xun & Kuosmanen, Timo, 2020. "What drives decarbonization of new passenger cars?," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1043-1057.
27. 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.
28. 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.
29. 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).
30. 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).
31. 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.
32. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Meng, Bo, 2021. "Attribution of changes in an intensity index," Energy, Elsevier, vol. 216(C).
33. 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.
34. 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.
35. 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).
  - Kuosmanen, Natalia & Maczulskij, Terhi, 2022. "The Role of Firm Dynamics in the Green Transition: Carbon Productivity Decomposition in Finnish Manufacturing," ETLA Working Papers 99, The Research Institute of the Finnish Economy.
36. 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).
37. 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.
38. 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.
39. 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).
40. 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).
41. 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.
42. 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).
43. Su, Bin & Ang, B.W., 2020. "Demand contributors and driving factors of Singapore’s aggregate carbon intensities," Energy Policy, Elsevier, vol. 146(C).
44. 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.
45. 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.
46. 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).
47. 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).
48. 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).
49. Singpai, Bodin & Wu, Desheng Dash, 2021. "An integrative approach for evaluating the environmental economic efficiency," Energy, Elsevier, vol. 215(PB).
50. 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.
51. 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).
52. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
53. 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.
54. 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).
55. 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.
56. 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.
57. 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).
58. 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).
59. 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).
60. 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.
61. Lin, Boqiang & Xu, Bin, 2021. "A non-parametric analysis of the driving factors of China's carbon prices," Energy Economics, Elsevier, vol. 104(C).
62. 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.
63. 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.
64. 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.
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. 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).
2. 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).
3. 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.
4. Mingyin Zhao & Yadong Ning & Shukuan Bai & Boya Zhang, 2024. "Embodied Carbon Transfer in China’s Bilateral Trade with Belt and Road Countries from the Perspective of Global Value Chains," Energies, MDPI, vol. 17(4), pages 1-16, February.
5. 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).
6. 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.
7. 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.
8. 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).
9. 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.
10. 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.
11. 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.
12. 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).
13. 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.
14. 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.
15. 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).
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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).
28. 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.
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. 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.
  - Akyildirim, Erdinc & Cepni, Oguzhan & Corbet, Shaen & Uddin, Gazi Salah, 2020. "Forecasting Mid-price Movement of Bitcoin Futures Using Machine Learning," Working Papers 20-2020, Copenhagen Business School, Department of Economics.
2. 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).
3. 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).
4. Donghua Wang & Tianhui Fang, 2022. "Forecasting Crude Oil Prices with a WT-FNN Model," Energies, MDPI, vol. 15(6), pages 1-21, March.
5. 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).
6. 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).
7. 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.
8. 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.
9. Fang, Tianhui & Zheng, Chunling & Wang, Donghua, 2023. "Forecasting the crude oil prices with an EMD-ISBM-FNN model," Energy, Elsevier, vol. 263(PA).
10. 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).
11. 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).
12. 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.
13. 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.
14. 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).
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. 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.
3. 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.
4. 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).
5. 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.
6. 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.
7. 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.
8. Pham, Manh D. & Simar, Léopold & Zelenyuk, Valentin, 2022. "Statistical Inference for Aggregation of Malmquist Productivity Indices," LIDAM Discussion Papers ISBA 2022005, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  - Pham, Manh & Simar, Léopold & Zelenyuk, Valentin, 2023. "Statistical Inference for Aggregation of Malmquist Productivity Indices," LIDAM Reprints ISBA 2023010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  - Manh D. Pham & LÃ©opold Simar & Valentin Zelenyuk, 2019. "Statistical Inference for Aggregation of Malmquist Productivity Indices," CEPA Working Papers Series WP082019, School of Economics, University of Queensland, Australia.
9. Hongzhang Chen & Haiwen Yang, 2020. "Measurement and Structural Factors Influencing Chinaâ€™s Provincial Total-Factor Energy Efficiency Under Resource and Environmental Constraints," SAGE Open, , vol. 10(3), pages 21582440209, July.
10. 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).
11. 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.
12. 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.
13. 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.
14. Lin Zhang and Philip Kofi Adom, 2018. "Energy Efficiency Transitions in China: How Persistent are the Movements to/from the Frontier?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
  - 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.
15. 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).
16. 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.
17. 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.
18. 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).
19. 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.
20. 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.
21. 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.
22. 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.
23. Takayabu, Hirotaka, 2020. "CO2 mitigation potentials in manufacturing sectors of 26 countries," Energy Economics, Elsevier, vol. 86(C).
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. 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).
  - Duro Moreno, Juan Antonio & Giménez Gómez, José M. (José Manuel) & Vilella, Cori, 2018. "The allocation of CO2 emissions as a claims problem," Working Papers 2072/351585, Universitat Rovira i Virgili, Department of Economics.
3. Dagoumas, Athanasios S. & Polemis, Michael L., 2020. "Carbon pass-through in the electricity sector: An econometric analysis," Energy Economics, Elsevier, vol. 86(C).
4. 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.
5. Wang, M. & Zhou, P., 2022. "A two-step auction-refund allocation rule of CO2 emission permits," Energy Economics, Elsevier, vol. 113(C).
6. 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.
7. 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.
8. 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).
9. 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.
  - Joltreau, Eugénie & Sommerfeld, Katrin, 2017. "Why Does Emissions Trading under the EU ETS Not Affect Firms' Competitiveness? Empirical Findings from the Literature," IZA Discussion Papers 11253, Institute of Labor Economics (IZA).
10. 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).
11. Andrianesis, Panagiotis & Biskas, Pandelis & Liberopoulos, George, 2021. "Evaluating the cost of emissions in a pool-based electricity market," Applied Energy, Elsevier, vol. 298(C).
12. 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.
13. 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).
14. Nazifi, Fatemeh & Trück, Stefan & Zhu, Liangxu, 2021. "Carbon pass-through rates on spot electricity prices in Australia," Energy Economics, Elsevier, vol. 96(C).
15. 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).
16. 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.
17. 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).
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. 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. 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.
3. 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.
4. 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.
5. 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.
6. 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).
7. Fang, Guochang & Tian, Lixin & Yang, Zili, 2020. "The construction of a comprehensive multidimensional energy index," Energy Economics, Elsevier, vol. 90(C).
8. 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.
9. 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).
10. 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.
11. 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).
12. 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.
13. Zhaoqiang Zhong & Benhong Peng & Ehsan Elahi, 2021. "Spatial and temporal pattern evolution and influencing factors of energyâ€“environmental efficiency: A case study of Yangtze River urban agglomeration in China," Energy & Environment, , vol. 32(2), pages 242-261, March.
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. 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.
5. 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.
6. 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.
7. 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).
8. 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.
9. 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).
10. 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.
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. 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).
2. 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.
3. 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.
4. 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).
5. 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.
6. 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.
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.
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. 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. 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.
3. 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.
4. 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).
5. 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.
6. 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).
7. 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.
8. 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.
9. 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).
10. 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.
11. 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).
12. 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.
  - Bagchi, Prantik & Sahu, Santosh Kumar & Kumar, Ajay & Tan, Kim Hua, 2022. "Analysis of carbon productivity for firms in the manufacturing sector of India," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
13. 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.
14. 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.
15. 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.
16. 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.
17. 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).
18. 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.
19. 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.
20. 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.
21. 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.
22. 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).
23. 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).
24. 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.
25. 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.
26. 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).
27. 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.
28. 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.
29. 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).
30. 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.
31. 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).
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. 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.
3. 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.
4. 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.
5. 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).
6. 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).
7. 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).
8. 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).
9. 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.
10. 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.
11. 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.
12. 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).
13. 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.
14. 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).
15. 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.
16. 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.
17. 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.
18. 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).
19. 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.
20. 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.
21. 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.
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. 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.
2. 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.
3. 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).
4. 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.
  - Bagchi, Prantik & Sahu, Santosh Kumar & Kumar, Ajay & Tan, Kim Hua, 2022. "Analysis of carbon productivity for firms in the manufacturing sector of India," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
5. 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.
6. 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).
7. 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.
8. 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).
9. 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.
10. 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).
11. TanrÄ±verdi, GÃ¶khan & Merkert, Rico & KaramaÅŸa, Ã‡aÄŸlar & 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).
12. 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.
13. 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).
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. 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).
3. 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).
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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).
11. 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).
12. 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.
13. 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).
14. 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).
15. 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.
16. 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.
17. 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).
18. 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.
19. 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).
20. 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).
21. 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.
22. 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).
23. 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.
24. 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.
25. 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).
26. 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.
27. 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).
28. 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.
29. 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).
30. 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.
31. 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.
32. 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).
33. 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.
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. Fu, Tong & Jian, Ze, 2020. "A developmental state: How to allocate electricity efficiently in a developing country," Energy Policy, Elsevier, vol. 138(C).
2. Yu, Yantuan & Tang, Kai, 2023. "Does financial inclusion improve energy efficiency?," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
3. 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.
4. 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.
5. 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).
6. 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).
7. 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.
8. 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).
9. 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.
10. 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.
11. 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).
12. 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.
13. 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.
14. 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).
15. 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).
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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).
23. 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.
24. 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.
25. 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.
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. 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).
4. 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).
5. 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).
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. 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.
8. 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).
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. 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.
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. 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.
13. 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).
14. 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.
15. 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).
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.
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. 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.
2. 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.
3. 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).
4. 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.
5. 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.
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. 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.
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. 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).
10. 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.
11. 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.
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.
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. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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).
12. 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.
13. Nadimi, Reza & Tokimatsu, Koji, 2019. "Potential energy saving via overall efficiency relying on quality of life," Applied Energy, Elsevier, vol. 233, pages 283-299.
14. 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.
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. 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.
2. 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).
3. 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).
4. 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.
5. 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.
  - Casper Agaton, 2017. "Coal, Renewable, or Nuclear? A Real Options Approach to Energy Investments in the Philippines," International Journal of Sustainable Energy and Environmental Research, Conscientia Beam, vol. 6(2), pages 50-62.
6. Zhang, Hanyu & Assereto, Martina & Byrne, Julie, 2023. "Deferring real options with solar renewable energy certificates," Global Finance Journal, Elsevier, vol. 55(C).
7. 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).
8. 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).
9. 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).
10. 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).
11. 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.
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. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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).
19. 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.
20. 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.
21. 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).
22. 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).
23. 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.
24. Locatelli, Giorgio & Mancini, Mauro & Lotti, Giovanni, 2020. "A simple-to-implement real options method for the energy sector," Energy, Elsevier, vol. 197(C).
25. 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.
26. 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.
27. 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).
28. 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.
29. 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.
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. 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).
32. 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.
33. 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.
34. Hortay, Olivér & Rozner, Bence Péter, 2019. "Allocating renewable subsidies," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 236-247.
35. 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).
36. 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).
37. 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.
38. Agaton, Casper, 2017. "Real Options Analysis of Renewable Energy Investment Scenarios in the Philippines," MPRA Paper 83478, University Library of Munich, Germany.
39. 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.
40. 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).
41. 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.
42. Mehmet AlagÃ¶z & Nihal YokuÅŸ & Turgut YokuÅŸ, 2019. "Photovoltaic solar power plant investment optimization model for economic external balance: Model of Turkey," Energy & Environment, , vol. 30(3), pages 522-541, May.
43. Steffen, Bjarne, 2020. "Estimating the cost of capital for renewable energy projects," Energy Economics, Elsevier, vol. 88(C).
44. 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).
45. 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.
46. 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.
47. 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.
48. 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).
49. 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).
50. 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.
51. 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.
52. 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).
53. 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.
54. 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.
55. 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.
56. 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.
57. 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).
58. 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.
59. 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.
60. 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).
61. 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.
62. Hemrit, Wael & Benlagha, Noureddine, 2021. "Does renewable energy index respond to the pandemic uncertainty?," Renewable Energy, Elsevier, vol. 177(C), pages 336-347.
63. Sendstad, Lars Hegnes & Chronopoulos, Michail, 2020. "Sequential investment in renewable energy technologies under policy uncertainty," Energy Policy, Elsevier, vol. 137(C).
64. 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).
65. 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.
66. 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.
67. 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).
68. Lin, Boqiang & Wu, Wei, 2017. "Cost of long distance electricity transmission in China," Energy Policy, Elsevier, vol. 109(C), pages 132-140.
69. 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.
70. 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).
71. 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.
72. 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.
73. Martina Assereto & Julie Byrne, 2020. "The Implications of Policy Uncertainty on Solar Photovoltaic Investment," Energies, MDPI, vol. 13(23), pages 1-20, November.
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. 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.
2. 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.
3. 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.
4. 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.
5. 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).
6. 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).
7. Haiqiao Wang & Li Shang & Decai Tang & Zhijiang Li, 2024. "Research Themes, Evolution Trends, and Future Challenges in China’s Carbon Emission Studies," Sustainability, MDPI, vol. 16(5), pages 1-22, March.
8. 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).
9. 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).
10. 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.
  - Toru Ota & Makoto Kakinaka & Koji Kotani, 2017. "Demographic effects on residential electricity and city gas consumption in aging society of Japan," Working Papers SDES-2017-7, Kochi University of Technology, School of Economics and Management, revised Jun 2017.
11. 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).
12. 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.
13. 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.
14. 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.
15. 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.
16. Yu, Yantuan & Zhang, Ning, 2021. "Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 96(C).
17. 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.
18. 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).
19. 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.
20. 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.
21. 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.
22. 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).
23. 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.
24. 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.
25. 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.
26. 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.
27. 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).
28. 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.
29. 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).
30. 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.
31. 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).
32. 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.
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50. John M. DeCicco, 2018. "Methodological Issues Regarding Biofuels and Carbon Uptake," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
51. 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.
52. 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.
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54. 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.
55. 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.
56. 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.
57. 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.
58. 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.
59. 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.
60. 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.
61. 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).
62. Lin, Boqiang & Zhu, Junpeng, 2020. "Chinese electricity demand and electricity consumption efficiency: Do the structural changes matter?," Applied Energy, Elsevier, vol. 262(C).
63. 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.
64. 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.
65. 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.
66. 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.
67. 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).
68. 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.
69. 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).
70. 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.
71. 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.
72. 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.
73. 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.
74. 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).
75. 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.
76. 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.
77. 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).
78. 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.
79. 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).
80. 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).
81. 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.
82. 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).
83. 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).
84. 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).
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88. 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.
89. 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.
90. 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.
91. 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).
92. 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.
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. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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).
10. 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.
11. 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.
12. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Meng, Bo, 2021. "Attribution of changes in an intensity index," Energy, Elsevier, vol. 216(C).
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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).
26. 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.
27. 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.
28. 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.
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. 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.
2. 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.
3. 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.
4. 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).
5. 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.
6. 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).
7. 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).
8. 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.
9. 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.
10. 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.
11. 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.
12. 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).
13. 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.
14. 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.
15. 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).
16. 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.
17. 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.
18. 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).
19. 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.
20. 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.
21. 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.
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.
Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
Cited by:
1. 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).
2. 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.
3. 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.
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35. 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.
36. Wang, M. & Zhou, P., 2022. "A two-step auction-refund allocation rule of CO2 emission permits," Energy Economics, Elsevier, vol. 113(C).
37. Wen, Wen & Zhou, P. & Zhang, Fuqiang, 2018. "Carbon emissions abatement: Emissions trading vs consumer awareness," Energy Economics, Elsevier, vol. 76(C), pages 34-47.
38. Apergis, Nicholas & Payne, James E., 2020. "NAFTA and the convergence of CO2 emissions intensity and its determinants," International Economics, Elsevier, vol. 161(C), pages 1-9.
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39. 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.
40. 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).
41. 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.
42. 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.
43. 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.
44. 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.
45. 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).
46. Tanaka, Kenta & Matsukawa, Isamu & Managi, Shunsuke, 2020. "An experimental investigation of bilateral oligopoly in emissions trading markets," China Economic Review, Elsevier, vol. 59(C).
47. 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.
48. 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).
49. 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.
50. Sonam Sahu & Izuru Saizen, 2019. "Emissions Sharing Observations from a Diverse Range of Countries," Sustainability, MDPI, vol. 11(15), pages 1-15, July.
51. 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).
52. 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.
53. 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).
54. 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).
55. 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.
56. 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.
57. 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.
58. 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.
59. 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.
60. 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).
61. 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).
62. 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.
63. 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.
64. 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.
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67. 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.
68. 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.
69. 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.
70. 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.
71. 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.
72. 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.
73. 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.
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.
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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. 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.
3. Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
4. 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.
5. 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.
6. 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.
7. 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.
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. 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.
10. 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).
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).
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. 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.
5. Yiqing Dai & Yu Bai, 2020. "Performance Improvement for Building Integrated Photovoltaics in Practice: A Review," Energies, MDPI, vol. 14(1), pages 1-22, December.
6. 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.
7. Patrice Bougette & Christophe Charlier, 2017. "Antidumping and Feed-In Tariffs as Good Buddies? Modeling the EU-China Solar Panel Dispute," GREDEG Working Papers 2017-17, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Nov 2018.
  - Patrice Bougette & Christophe Charlier, 2018. "Antidumping and Feed-In Tariffs as Good Buddies? Modeling the EU-China Solar Panel Dispute," Post-Print halshs-01934117, HAL.
  - Patrice Bougette & Christophe Charlier, 2017. "Antidumping and Feed-In Tariffs as Good Buddies? Modeling the EU-China Solar Panel Dispute," Working Papers halshs-01818315, HAL.
  - 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).
  - Patrice Bougette & Christophe Charlier, 2018. "Antidumping and Feed-In Tariffs as Good Buddies? Modeling the EU-China Solar Panel Dispute," Post-Print halshs-01818239, HAL.
8. 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.
9. 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.
10. 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.
11. Martin Klein & Marc Deissenroth, 2018. "When Do Households Invest in Solar Photovoltaics? An Application of Prospect Theory," Papers 1808.05572, arXiv.org.
  - 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.
12. Barbara Glensk & Reinhard Madlener, 2019. "Energiewende @ Risk: On the Continuation of Renewable Power Generation at the End of Public Policy Support," Energies, MDPI, vol. 12(19), pages 1-25, September.
  - 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.
13. 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).
14. 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).
15. 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.
16. 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).
17. 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).
18. 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).
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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).
29. 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).
30. 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.
31. 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).
32. 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.
33. 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).
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. 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).
36. 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.
37. 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.
38. 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.
39. 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.
40. 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).
41. Sendstad, Lars Hegnes & Chronopoulos, Michail, 2020. "Sequential investment in renewable energy technologies under policy uncertainty," Energy Policy, Elsevier, vol. 137(C).
42. 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.
43. 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.
44. 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.
45. 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).
46. 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.
47. 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.
48. 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).
49. 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).
50. 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).
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. 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.
3. 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).
4. 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.
5. 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.
6. 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.
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. 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.
2. 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.
3. 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).
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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).
11. 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).
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
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.
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. 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.
3. 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).
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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).
13. 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.
14. 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.
15. Lin, Boqiang & Zhu, Junpeng, 2019. "Fiscal spending and green economic growth: Evidence from China," Energy Economics, Elsevier, vol. 83(C), pages 264-271.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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).
22. 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.
23. 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).
24. 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.
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.
26. 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).
27. 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).
28. 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).
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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).
36. 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).
37. 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).
38. 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).
39. 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.
40. 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).
41. 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.
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. 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).
44. 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.
45. 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.
46. 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.
47. 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.
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. 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.
2. 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.
3. 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.
4. 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).
5. 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).
6. Dai, Sheng & Zhou, Xun & Kuosmanen, Timo, 2020. "Forward-looking assessment of the GHG abatement cost: Application to China," Energy Economics, Elsevier, vol. 88(C).
7. 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).
8. 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).
9. 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.
10. 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.
11. 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.
12. Zhiyang Shen & Jean-Philippe Boussemart & Hervé Leleu, 2016. "Worldwide carbon shadow prices during 1990–2011," Working Papers 2016-EQM-04, IESEG School of Management.
  - Boussemart, Jean-Philippe & Leleu, Hervé & Shen, Zhiyang, 2017. "Worldwide carbon shadow prices during 1990–2011," Energy Policy, Elsevier, vol. 109(C), pages 288-296.
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13. 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.
14. Ji, D.J. & Zhou, P., 2020. "Marginal abatement cost, air pollution and economic growth: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 86(C).
15. Lee, Chia-Yen, 2018. "Mixed-strategy Nash equilibrium in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1013-1024.
16. 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.
17. Wang, Ailun & Hu, Shuo & Lin, Boqiang, 2021. "Emission abatement cost in China with consideration of technological heterogeneity," Applied Energy, Elsevier, vol. 290(C).
18. 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).
19. 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.
20. 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.
21. 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.
  - Kufeoglu, S. & Gunduz, N. & Chen, H. & Lehtonen, M., 2018. "Shadow Pricing of Electric Power Interruptions for Distribution System Operators in Finland," Cambridge Working Papers in Economics 1845, Faculty of Economics, University of Cambridge.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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).
29. 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.
30. 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).
31. 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).
32. 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.
33. 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.
34. 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).
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. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. Lin, Boqiang & Bai, Rui, 2020. "Dynamic energy performance evaluation of Chinese textile industry," Energy, Elsevier, vol. 199(C).
7. 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).
8. 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.
9. 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).
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
  - Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2015. "Environmental investment and firm performance: A network approach," CERE Working Papers 2015:10, CERE - the Center for Environmental and Resource Economics.
17. 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.
18. 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.
19. Yu, Yantuan & Zhang, Ning, 2021. "Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 96(C).
20. 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.
21. 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.
22. 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.
23. Feng, Chao & Wang, Miao, 2017. "The economy-wide energy efficiency in China’s regional building industry," Energy, Elsevier, vol. 141(C), pages 1869-1879.
24. 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.
25. 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.
26. 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.
27. 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).
28. 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.
29. 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.
30. 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.
31. 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).
32. 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.
33. 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.
34. 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.
35. 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).
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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.
42. 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).
43. 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).
44. 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.
45. 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.
46. 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).
47. 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.
48. 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.
49. 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.
50. 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.
51. 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.
52. 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.
53. 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.
54. 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.
55. 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.
56. 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.
57. 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).
58. 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).
59. 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.
60. 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.
61. 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.
62. 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.
63. 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.
64. 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.
65. Nadimi, Reza & Tokimatsu, Koji, 2019. "Potential energy saving via overall efficiency relying on quality of life," Applied Energy, Elsevier, vol. 233, pages 283-299.
66. 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.
67. 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.
68. 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.
69. 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).
70. 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.
71. 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.
72. 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.
73. 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.
74. 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.
75. 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.
76. 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.
77. 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.
78. 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.
79. 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.
80. 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.
81. 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).
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. 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. 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).
3. 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.
4. 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.
5. 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.
6. 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.
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7. 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.
8. 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.
9. 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).
10. 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).
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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).
17. 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.
18. 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).
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. GÃ¼ner, Samet & Cebeci, Halil Ä°brahim & 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).
27. 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.
28. 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.
29. 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.
30. 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.
31. 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).
32. Løvold Rødseth, Kenneth, 2017. "Productivity growth in urban freight transport: An index number approach," Transport Policy, Elsevier, vol. 56(C), pages 86-95.
33. 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).
34. 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.
35. 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).
36. 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).
37. 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.
38. 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.
39. 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.
40. Lin, Boqiang & Li, Zheng, 2022. "Towards world's low carbon development: The role of clean energy," Applied Energy, Elsevier, vol. 307(C).
41. 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.
42. 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).
43. 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.
44. 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.
45. 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.
46. Ke Li & Malin Song, 2016. "Green Development Performance in China: A Metafrontier Non-Radial Approach," Sustainability, MDPI, vol. 8(3), pages 1-21, March.
47. 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.
48. 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.
49. 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.
50. 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.
51. 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.
52. 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.
53. 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.
54. 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.
55. 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).
56. 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).
57. 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.
58. 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.
59. 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.
60. 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.
61. 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.
62. 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.
63. 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.
Zhang, Ling & Zhang, Luping & Zhou, Peng & Zhou, Dequn, 2015. "A non-additive multiple criteria analysis method for evaluation ofÂ airline service quality," Journal of Air Transport Management, Elsevier, vol. 47(C), pages 154-161.
Cited by:
1. 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.
2. PerÃ§in, SelÃ§uk, 2018. "Evaluating airline service quality using a combined fuzzy decision-making approach," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 48-60.
3. Deveci, Muhammet & Ã–zcan, Ender & John, Robert & Ã–ner, 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.
4. 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.
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. 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. 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).
3. 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.
4. 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.
5. 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.
6. 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.
7. Yu, Yiling, 2023. "Role of Natural resources rent on economic growth: Fresh empirical insight from selected developing economies," Resources Policy, Elsevier, vol. 81(C).
8. 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.
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. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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).
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. Büyüközkan, Gülçin & Karabulut, Yağmur, 2017. "Energy project performance evaluation with sustainability perspective," Energy, Elsevier, vol. 119(C), pages 549-560.
26. 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.
27. 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.
28. 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.
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. 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).
5. 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.
6. 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.
7. 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).
8. 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.
9. 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.
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. 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.
2. 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.
3. 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.
  - Rakesh Kumar Jain & Surender Kumar, 2018. "Shadow Price of CO2 Emissions in Indian Thermal Power Sector," Working papers 287, Centre for Development Economics, Delhi School of Economics.
  - Surender Kumar & Rakesh Kumar Jain, 2018. "Shadow Price of CO 2 Emissions in Indian Thermal Power Sector," Working Papers id:12791, eSocialSciences.
4. 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.
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9. 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.
10. 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).
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12. 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.
13. 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).
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).
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16. 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).
17. 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.
18. 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.
19. 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.
20. Zhiyang Shen & Jean-Philippe Boussemart & Hervé Leleu, 2016. "Worldwide carbon shadow prices during 1990–2011," Working Papers 2016-EQM-04, IESEG School of Management.
  - Boussemart, Jean-Philippe & Leleu, Hervé & Shen, Zhiyang, 2017. "Worldwide carbon shadow prices during 1990–2011," Energy Policy, Elsevier, vol. 109(C), pages 288-296.
  - Jean-Philippe Boussemart & Herve Leleu & Zhiyang Shen, 2017. "Worldwide carbon shadow prices during 1990–2011," Post-Print hal-01744593, HAL.
21. Ling-Yun He & Jia-Jia Ou, 2017. "Pollution Emissions, Environmental Policy, and Marginal Abatement Costs," IJERPH, MDPI, vol. 14(12), pages 1-16, December.
22. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the marginal abatement cost curve of CO2 emissions in China: Provincial panel data analysis," Kiel Working Papers 1985, Kiel Institute for the World Economy (IfW Kiel).
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23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
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. 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.
30. 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.
31. 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).
32. 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.
33. 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.
34. 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.
35. 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.
36. Lee, Chia-Yen, 2018. "Mixed-strategy Nash equilibrium in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1013-1024.
37. 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).
38. 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.
39. 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.
40. Wang, Ailun & Hu, Shuo & Lin, Boqiang, 2021. "Emission abatement cost in China with consideration of technological heterogeneity," Applied Energy, Elsevier, vol. 290(C).
41. 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.
42. 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.
43. 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.
44. 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.
45. 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.
46. 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.
47. 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).
48. 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.
49. 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.
50. 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.
51. 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.
52. 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.
53. 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.
54. 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).
55. 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).
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.
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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. 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.
4. 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.
5. Shao, Yanmin, 2017. "Analysis of energy savings potential of China's nonferrous metals industry," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 25-33.
6. 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.
7. 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).
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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).
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
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.
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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. 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).
3. 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.
4. 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.
5. 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).
6. 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.
7. 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).
8. 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).
9. 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.
10. 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).
11. 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.
12. 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).
13. 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.
14. 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.
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).
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.
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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. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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).
14. 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.
15. 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).
16. 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.
17. 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.
18. 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.
19. 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.
20. Claude Francoeur & Faten Lakhal & Safa Gaaya & Itidel Ben Saad, 2021. "How do powerful CEOs influence corporate environmental performance?," Post-Print hal-02976839, HAL.
21. Grebel, Thomas & Islam, Rohidul, 2022. "Endogenous cap reduction in Emission Trading Systems," Ilmenau Economics Discussion Papers 169, Ilmenau University of Technology, Institute of Economics.
22. 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.
23. 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.
24. 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.
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. 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.
2. 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.
3. 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).
4. 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.
5. 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.
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, 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.
2. 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.
3. 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).
4. 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.
5. 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.
6. Lin, Boqiang & Bai, Rui, 2020. "Dynamic energy performance evaluation of Chinese textile industry," Energy, Elsevier, vol. 199(C).
7. 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.
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. Qu, Chenyao & Shao, Jun & Shi, Zhenkai, 2020. "Does financial agglomeration promote the increase of energy efficiency in China?," Energy Policy, Elsevier, vol. 146(C).
10. 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.
11. 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.
12. 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).
13. 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.
14. 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).
15. 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.
16. 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.
  - Broadstock, David C. & Li, Jiajia & Zhang, Dayong, 2016. "Efficiency snakes and energy ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households," Energy Policy, Elsevier, vol. 91(C), pages 383-396.
17. 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.
18. 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.
19. 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).
20. 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.
21. 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.
22. 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).
23. 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).
24. 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.
  - Wei, Chu & Löschel, Andreas & Liu, Bing, 2015. "Energy-saving and emission-abatement potential of Chinese coal-fired power enterprise: A non-parametric analysis," CAWM Discussion Papers 78, University of Münster, Münster Center for Economic Policy (MEP).
25. 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).
26. 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.
27. 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.
28. 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).
29. 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).
30. 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.
31. 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).
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. Huang, Youxing & Xu, Qi & Zhao, Yanping, 2021. "Short-run pain, long-run gain: Desulfurization investment and productivity," Energy Economics, Elsevier, vol. 102(C).
38. 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.
39. 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.
40. 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).
41. 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.
42. Zhang, Ning & Wu, Tao & Wang, Bing & Dong, Liang & Ren, Jingzheng, 2016. "Sustainable water resource and endogenous economic growth," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 237-244.
  - 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.
43. 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.
44. 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).
45. 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).
46. 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.
47. 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).
48. 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.
49. 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.
50. 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).
51. 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.
52. 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.
53. 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.
54. 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).
55. Hongjun Dai & Tao Sun & Wen Guo, 2016. "Brownfield Redevelopment Evaluation Based on Fuzzy Real Options," Sustainability, MDPI, vol. 8(2), pages 1-10, February.
56. 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).
57. 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).
58. 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.
59. 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.
60. 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.
61. 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.
62. 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.
63. Ke Li & Malin Song, 2016. "Green Development Performance in China: A Metafrontier Non-Radial Approach," Sustainability, MDPI, vol. 8(3), pages 1-21, March.
64. 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).
65. 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.
66. 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.
67. 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.
68. 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.
69. 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.
70. 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.
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. 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).
73. 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).
74. 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.
75. 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.
76. 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).
77. 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.
78. 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.
79. 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.
80. 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.
81. 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.
82. 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.
83. 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.
84. 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.
85. 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).
86. 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.
87. 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).
88. 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.
89. 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).
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. 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.
2. 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.
3. 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.
4. 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.
5. 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).
6. 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).
7. 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.
8. 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.
9. Dayong Zhang & Hong Cao & Peijiang Zou, . "Exuberance in China's Renewable Energy Investment: Rationality, Capital Structure, and Implications with Firm Level Evidence," Chapters, in: Shigeru Kimura & Youngho Chang & Yanfei Li (ed.), Financing Renewable Energy Development in East Asia Summit Countries A Primer of Effective Policy Instruments, chapter 7, pages 193-222, Economic Research Institute for ASEAN and East Asia (ERIA).
  - 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.
10. 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.
11. 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.
12. 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).
13. 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.
14. 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.
15. 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.
16. 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).
17. 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.
18. 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).
19. Xiong, Yongqing & Yang, Xiaohan, 2016. "Government subsidies for the Chinese photovoltaic industry," Energy Policy, Elsevier, vol. 99(C), pages 111-119.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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).
35. 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).
36. 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.
37. 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.
38. 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.
39. 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.
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. 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.
42. 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.
43. 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).
44. 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.
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. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
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. 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. 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.
3. 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.
4. 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.
5. 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.
  - Rakesh Kumar Jain & Surender Kumar, 2018. "Shadow Price of CO2 Emissions in Indian Thermal Power Sector," Working papers 287, Centre for Development Economics, Delhi School of Economics.
  - Surender Kumar & Rakesh Kumar Jain, 2018. "Shadow Price of CO 2 Emissions in Indian Thermal Power Sector," Working Papers id:12791, eSocialSciences.
6. Rødseth, Kenneth Løvold, 2023. "Shadow pricing of electricity generation using stochastic and deterministic materials balance models," Applied Energy, Elsevier, vol. 341(C).
7. 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.
8. 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.
9. 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.
  - Anouk Faure & Marc Baudry, 2021. "Technological Progress and Carbon Price Formation: an Analysis of EU-ETS Plants," EconomiX Working Papers 2021-18, University of Paris Nanterre, EconomiX.
  - Anouk Faure & Marc Baudry, 2021. "Technological Progress and Carbon Price Formation: an Analysis of EU-ETS Plants," Working Papers hal-04159764, HAL.
10. 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.
  - Zhiyang Shen & Jean-Philippe Boussemart & Hervé Leleu, 2015. "Aggregate green productivity growth in OECD’s countries," Working Papers 2016-EQM-03, IESEG School of Management.
  - Zhiyang Shen & Jean-Philippe Boussemart & Herve Leleu, 2017. "Aggregate green productivity growth in OECD’s countries," Post-Print hal-01744590, HAL.
11. 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.
12. 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).
13. 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).
14. 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).
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
  - Surender Kumar & Rakesh Kumar Jain, 2021. "Cost of CO2 emission mitigation and its decomposition: evidence from coal-fired thermal power sector in India," Empirical Economics, Springer, vol. 61(2), pages 693-717, August.
21. Førsund, Finn R., 2018. "Economic interpretations of DEA," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 9-15.
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. 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. 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.
25. 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.
26. 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.
27. 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).
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. Zhiyang Shen & Jean-Philippe Boussemart & Hervé Leleu, 2016. "Worldwide carbon shadow prices during 1990–2011," Working Papers 2016-EQM-04, IESEG School of Management.
  - Boussemart, Jean-Philippe & Leleu, Hervé & Shen, Zhiyang, 2017. "Worldwide carbon shadow prices during 1990–2011," Energy Policy, Elsevier, vol. 109(C), pages 288-296.
  - Jean-Philippe Boussemart & Herve Leleu & Zhiyang Shen, 2017. "Worldwide carbon shadow prices during 1990–2011," Post-Print hal-01744593, HAL.
37. 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.
38. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the marginal abatement cost curve of CO2 emissions in China: Provincial panel data analysis," Kiel Working Papers 1985, Kiel Institute for the World Economy (IfW Kiel).
  - 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.
39. 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.
40. 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).
41. 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.
42. 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.
43. Ji, D.J. & Zhou, P., 2020. "Marginal abatement cost, air pollution and economic growth: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 86(C).
44. Asha Gunawardena, 2016. "Cost of Controlling Water Pollution and its Impact on Industrial Efficiency," Working Papers id:11537, eSocialSciences.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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.
50. 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.
51. 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.
52. 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.
53. 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.
54. 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.
55. 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?," Post-Print hal-04273632, HAL.
  - 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.
56. 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).
57. 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).
58. 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.
59. 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.
60. 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.
61. 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.
62. 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.
63. 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.
64. 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.
65. 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).
66. 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.
67. 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.
68. 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.
69. 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.
  - 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.
70. 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.
71. 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.
72. 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.
73. 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).
74. 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.
75. 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.
76. 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.
77. 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.
78. 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.
79. 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.
80. 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.
81. Boussemart, Jean Philippe & Leleu, Hervé & Shen, Zhiyang, 2015. "Environmental growth convergence among Chinese regions," China Economic Review, Elsevier, vol. 34(C), pages 1-18.
  - Jean-Philippe Boussemart & Herve Leleu & Zhiyang Shen, 2015. "Environmental growth convergence among Chinese regions," Post-Print hal-01533551, HAL.
82. 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.
83. 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).
84. 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.
85. 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.
86. 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).
87. 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.
88. 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.
89. 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.
90. 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).
91. 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.
92. 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).
93. 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).
94. 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.
95. 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.
96. 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.
97. 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.
98. 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).
99. 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).
100. 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.
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. 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.
2. 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.
3. 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).
4. 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.
5. 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.
6. 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.
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.
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. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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).
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.
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.
  - Huntington, Hillard & Barrios, James & Arora, Vipin, 2017. "Review of Key International Demand Elasticities for Major Industrializing Economies," MPRA Paper 87532, University Library of Munich, Germany.
  - Huntington, Hillard G. & Barrios, James J. & Arora, Vipin, 2019. "Review of key international demand elasticities for major industrializing economies," Energy Policy, Elsevier, vol. 133(C).
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. 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.
4. 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.
5. 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).
6. 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.
  - Brueckner, Marcus & Hong, Haidi & Vespignani, Joaquin, 2023. "Regulation of petrol and diesel prices and their effects on GDP growth: evidence from China," Working Papers 2023-02, University of Tasmania, Tasmanian School of Business and Economics.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. Jingjing Lyu & Bernd Süssmuth, 2024. "Global Linkages across Sectors and Frequency Bands: A Band Spectral Panel Regression Approach," CESifo Working Paper Series 10970, CESifo.
14. Khraief, Naceur & Shahbaz, Muhammad & Kumar Mahalik, Mantu & Bhattacharya, Mita, 2020. "Movements of oil prices and exchange rates in China and India: New evidence from wavelet-based, non-linear, autoregressive distributed lag estimations," MPRA Paper 103526, University Library of Munich, Germany, revised 13 Oct 2020.
  - 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).
15. 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).
16. 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.
17. 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.
18. 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.
19. 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).
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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).
39. 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).
40. 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.
41. 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).
42. 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).
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. 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.
4. 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).
5. 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).
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. GÃ¼ner, Samet & Cebeci, Halil Ä°brahim & 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).
14. 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).
15. 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).
16. 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.
17. 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.
18. 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).
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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).
25. 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.
26. 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.
27. 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.
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. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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).
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. ORALHAN Burcu & ALTAY TOPCU BetÃ¼l & SÃœMERLÄ° SARIGÃœL 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.
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.
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1. Stefano Moretti & Raja Trabelsi, 2021. "A Double-Weighted Bankruptcy Method to Allocate CO2 Emissions Permits," Post-Print hal-03835536, HAL.
2. 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.
3. 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.
4. 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).
5. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
6. 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.
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. Lin, Boqiang & Bai, Rui, 2020. "Dynamic energy performance evaluation of Chinese textile industry," Energy, Elsevier, vol. 199(C).
9. 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).
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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).
20. 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.
21. 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.
22. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2015. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," CEEP-BIT Working Papers 84, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  - 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.
23. 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.
24. 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.
25. 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.
26. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the marginal abatement cost curve of CO2 emissions in China: Provincial panel data analysis," Kiel Working Papers 1985, Kiel Institute for the World Economy (IfW Kiel).
  - 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. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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).
35. 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).
36. 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.
37. 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).
38. 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.
39. 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.
40. Ziheng Niu & Li Chai, 2022. "Carbon Emission Reduction by Bicycle-Sharing in China," Energies, MDPI, vol. 15(14), pages 1-17, July.
41. 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.
42. 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.
43. 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).
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. 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. 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.
47. 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.
48. 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.
49. 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.
50. 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.
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. 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.
53. 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.
54. 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.
55. 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.
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.
57. 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.
58. 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.
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. 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).
61. 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.
62. 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.
63. 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.
64. 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.
65. 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.
66. 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.
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.
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. 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.
2. 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).
3. 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).
4. 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.
5. 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.
  - Ke Wang & Chia-Yen Lee & Jieming Zhang & Yi-Ming Wei, 2018. "Operational performance management of the power industry: a distinguishing analysis between effectiveness and efficiency," Annals of Operations Research, Springer, vol. 268(1), pages 513-537, September.
6. 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.
7. 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).
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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).
14. 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.
15. 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.
16. Ratanakuakangwan, Sudlop & Morita, Hiroshi, 2022. "Multi-aspect efficiency measurement of multi-objective energy planning model dealing with uncertainties," Applied Energy, Elsevier, vol. 313(C).
17. 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.
18. 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.
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138. 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.
139. 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.
140. 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).
141. 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).
142. 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.
143. 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).
144. 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.
145. 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).
146. 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.
147. 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.
148. 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.
149. 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.
150. 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).
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).
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. Wang, Ying & Wang, Yong & Shahbaz, Muhammad, 2023. "How does digital economy affect energy poverty? Analysis from the global perspective," Energy, Elsevier, vol. 282(C).
2. 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.
3. Schabek, Tomasz, 2020. "The financial performance of sustainable power producers in emerging markets," Renewable Energy, Elsevier, vol. 160(C), pages 1408-1419.
4. 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.
5. 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).
6. 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).
7. 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.
8. 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.
9. 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).
10. Hu, Jinshuai & Jiang, Haiyan & Holmes, Mark, 2019. "Government subsidies and corporate investment efficiency: Evidence from China," Emerging Markets Review, Elsevier, vol. 41(C).
11. 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.
12. 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.
13. 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.
14. 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.
15. 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).
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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).
22. 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).
23. 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).
24. 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.
25. 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).
26. 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.
27. 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.
28. 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).
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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).
38. 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).
39. 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.
40. 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).
41. 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.
42. 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.
43. 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).
44. 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).
45. 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.
46. 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).
47. 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.
48. 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.
49. 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).
50. 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.
51. 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).
52. 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.
53. 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.
54. 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.
55. 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.
56. 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.
57. 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.
58. 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.
59. 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.
60. 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).
61. 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.
62. 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.
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).
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. 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).
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. 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.
5. 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.
6. 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.
7. 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.
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. 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.
10. 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.
11. 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).
12. 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.
13. 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.
14. 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.
15. 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.
16. Gozgor, Giray & Can, Muhlis, 2016. "Does Export Product Quality Matter for CO2 Emissions? Evidence from China," MPRA Paper 71873, University Library of Munich, Germany.
17. 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.
18. 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.
19. 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).
20. 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).
21. Kristian Skånberg & Åsa Svenfelt, 2022. "Expanding the IPAT identity to quantify backcasting sustainability scenarios," Futures & Foresight Science, John Wiley & Sons, vol. 4(2), June.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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).
27. 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.
28. 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).
29. 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.
30. 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).
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
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. 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.
43. 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.
44. 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.
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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. 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.
3. 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.
4. 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).
5. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
6. 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.
7. 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.
8. 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.
  - Jiang, Minxing & Zhu, Bangzhu & Chevallier, Julien & Xie, Rui, 2018. "Allocating provincial CO2 quotas for the Chinese national carbon program," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(3), July.
  - Minxing Jiang & Bangzhu Zhu & Julien Chevallier & Rui Xie, 2018. "Allocating provincial CO2 quotas for the Chinese national carbon program," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(3), pages 457-479, July.
9. 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.
10. 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.
11. 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.
12. 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).
13. 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.
14. 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).
15. 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.
16. 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.
17. 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).
18. 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.
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. 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.
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21. 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.
22. Chang, Kai & Chang, Hao, 2016. "Cutting CO2 intensity targets of interprovincial emissions trading in China," Applied Energy, Elsevier, vol. 163(C), pages 211-221.
23. Wen-Hsien Tsai & Shi-Yin Jhong, 2018. "Carbon Emissions Cost Analysis with Activity-Based Costing," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
24. 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.
25. Dai, Sheng & Zhou, Xun & Kuosmanen, Timo, 2020. "Forward-looking assessment of the GHG abatement cost: Application to China," Energy Economics, Elsevier, vol. 88(C).
26. 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.
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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).
39. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2015. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," CEEP-BIT Working Papers 84, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  - 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.
40. Chiu-Ming Hsiao, 2022. "Economic Growth, CO 2 Emissions Quota and Optimal Allocation under Uncertainty," Sustainability, MDPI, vol. 14(14), pages 1-26, July.
41. 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.
42. 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.
43. 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.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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).
49. Ling-Yun He & Jia-Jia Ou, 2017. "Pollution Emissions, Environmental Policy, and Marginal Abatement Costs," IJERPH, MDPI, vol. 14(12), pages 1-16, December.
50. Wang, Ke & Zhang, Xian & Yu, Xueying & Wei, Yi-Ming & Wang, Bin, 2016. "Emissions trading and abatement cost savings: An estimation of China's thermal power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1005-1017.
  - 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.
51. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the marginal abatement cost curve of CO2 emissions in China: Provincial panel data analysis," Kiel Working Papers 1985, Kiel Institute for the World Economy (IfW Kiel).
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52. 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).
53. 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).
54. 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.
55. 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).
56. 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).
57. 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.
58. 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.
59. 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.
60. 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.
61. Bingxin Zeng & Jun Xie & Xiaobing Zhang & Yang Yu & Lei Zhu, 2020. "The impacts of emission trading scheme on Chinaâ€™s thermal power industry: A pre-evaluation from the micro level," Energy & Environment, , vol. 31(6), pages 1007-1030, September.
62. 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.
63. 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.
64. 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.
65. 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.
66. 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.
67. 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.
68. 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.
69. 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.
70. 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.
71. 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.
72. 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.
73. 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.
74. 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.
75. 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.
76. 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.
77. 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.
78. 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.
79. 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.
80. 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.
81. 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.
82. 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).
83. 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.
84. 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).
85. 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.
86. 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.
87. 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.
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102. 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.
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105. 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.
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.
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. 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).
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
  - Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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).
14. Shao, Yanmin, 2017. "Analysis of energy savings potential of China's nonferrous metals industry," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 25-33.
15. 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.
16. Stergiou, Eirini, 2022. "Environmental Efficiency of European Industries across Sectors and Countries," MPRA Paper 114635, University Library of Munich, Germany.
17. 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.
18. 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.
19. 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).
20. 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.
21. Amjadi, Golnaz & Lundgren, Tommy, 2022. "Is industrial energy inefficiency transient or persistent? Evidence from Swedish manufacturing," Applied Energy, Elsevier, vol. 309(C).
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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).
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. Eucabeth Majiwa & Boon L. Lee & Clevo Wilson, 2018. "Increasing agricultural productivity while reducing greenhouse gas emissions in subâ€ Saharan Africa: myth or reality?," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 183-192, March.
40. 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.
41. 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.
42. 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.
43. 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.
44. 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.
  - Wei Huang & Bernhard Bruemmer, 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), pages 645-662, October.
45. 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.
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. 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.
  - Ke Wang & Yi-Ming Wei, 2015. "Sources of energy productivity change in China during 1997-2012: A decomposition analysis based on the Luenberger productivity indicator," CEEP-BIT Working Papers 86, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
48. 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.
49. 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.
50. 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.
51. 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.
52. 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).
53. 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.
54. 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).
55. 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.
56. 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.
57. 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).
58. 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.
59. 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.
60. 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.
61. 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.
62. 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.
63. 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.
64. 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.
65. Zhang, Shanshan & Lundgren, Tommy & Zhou, Wenchao, 2016. "Energy efficiency in Swedish industry," Energy Economics, Elsevier, vol. 55(C), pages 42-51.
66. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
67. 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.
68. 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.
69. 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.
70. Yang, Lisha & Li, Yutianhao & Liu, Hongxun, 2021. "Did carbon trade improve green production performance? Evidence from China," Energy Economics, Elsevier, vol. 96(C).
71. 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.
72. 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.
73. 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.
74. 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.
75. 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.
76. 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.
77. 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.
  - Wang, Ke & Wei, Yi-Ming, 2014. "China’s regional industrial energy efficiency and carbon emissions abatement costs," Applied Energy, Elsevier, vol. 130(C), pages 617-631.
78. 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.
79. 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.
80. 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.
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. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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).
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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).
13. 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.
14. 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).
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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).
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. 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).
3. 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.
4. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
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Cited by:
1. 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.
2. 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).
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
11. 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.
12. 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).
13. 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.
14. 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.
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. 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.
4. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
5. 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).
6. 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.
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. 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. 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. 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).
11. Zhou, Jun & Yin, Zhichao & Yue, Pengpeng, 2023. "The impact of access to credit on energy efficiency," Finance Research Letters, Elsevier, vol. 51(C).
12. 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.
13. 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.
14. 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.
15. 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.
  - Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
16. 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.
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. 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.
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. 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. 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.
22. 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.
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. 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.
25. Lin, Boqiang & Chen, Yu, 2020. "Transportation infrastructure and efficient energy services: A perspective of China's manufacturing industry," Energy Economics, Elsevier, vol. 89(C).
26. 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.
27. 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.
  - Shiwei Yu & Yi-Ming Wei & Ke Wang, 2012. "Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition," CEEP-BIT Working Papers 31, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
28. 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.
29. 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.
  - Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2015. "Environmental investment and firm performance: A network approach," CERE Working Papers 2015:10, CERE - the Center for Environmental and Resource Economics.
30. 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.
31. 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.
32. 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.
  - Broadstock, David C. & Li, Jiajia & Zhang, Dayong, 2016. "Efficiency snakes and energy ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households," Energy Policy, Elsevier, vol. 91(C), pages 383-396.
33. 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).
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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).
42. 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.
43. 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.
44. Feng, Chao & Wang, Miao, 2017. "The economy-wide energy efficiency in China’s regional building industry," Energy, Elsevier, vol. 141(C), pages 1869-1879.
45. 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.
46. 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.
  - Wei, Chu & Löschel, Andreas & Liu, Bing, 2015. "Energy-saving and emission-abatement potential of Chinese coal-fired power enterprise: A non-parametric analysis," CAWM Discussion Papers 78, University of Münster, Münster Center for Economic Policy (MEP).
47. 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.
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. 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.
50. 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.
51. 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.
52. 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.
53. 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.
54. 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).
55. 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.
56. 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.
57. 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).
58. 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.
59. 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.
60. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the marginal abatement cost curve of CO2 emissions in China: Provincial panel data analysis," Kiel Working Papers 1985, Kiel Institute for the World Economy (IfW Kiel).
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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. 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.
63. 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.
64. 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.
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. 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).
67. 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.
68. 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.
69. 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).
70. 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).
71. 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.
72. 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.
73. 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.
74. 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.
75. 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.
76. 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.
77. Jun Zhou & Zhichao Yin & Pengpeng Yue, 2022. "The impact of access to credit on energy efficiency," Papers 2211.08871, arXiv.org.
78. 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.
79. 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.
80. 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).
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.
82. 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.
83. 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.
84. 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.
85. 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.
86. 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.
87. 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).
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88. 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.
89. 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.
90. 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.
91. 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.
92. 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.
93. 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.
94. 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.
95. 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.
96. 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.
97. Lin, Boqiang & Sai, Rockson, 2022. "Towards low carbon economy: Performance of electricity generation and emission reduction potential in Africa," Energy, Elsevier, vol. 251(C).
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116. 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.
117. 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.
118. 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.
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124. 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.
125. 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.
126. Lester C. Hunt & Paraskevas Kipouros, 2023. "Energy Demand and Energy Efficiency in Developing Countries," Energies, MDPI, vol. 16(3), pages 1-26, January.
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128. 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.
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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. Murphy, Frederic & Oliveira, Fernando S., 2013. "Pricing option contracts on the strategic petroleum reserve," Energy Economics, Elsevier, vol. 40(C), pages 242-250.
3. 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.
4. 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).
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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).
11. 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).
12. 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.
13. 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.
14. Zhang, Xiao-Bing, 2014. "Optimal strategic oil stockpiling and import tariffs: The case of China," Energy Economics, Elsevier, vol. 45(C), pages 463-474.
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).
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.
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1. 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.
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. 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.
4. 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.
5. Wang, Ke & Lu, Bin & Wei, Yi-Ming, 2013. "China’s regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," Applied Energy, Elsevier, vol. 112(C), pages 1403-1415.
  - 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. 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.
7. 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.
8. 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.
9. Li, Yingcheng, 2022. "Path-breaking industrial development reduces carbon emissions: Evidence from Chinese Provinces, 1999–2011," Energy Policy, Elsevier, vol. 167(C).
10. 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.
  - Qin, Quande & Li, Xin & Li, Li & Zhen, Wei & Wei, Yi-Ming, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China’s coastal areas," Applied Energy, Elsevier, vol. 185(P1), pages 604-614.
11. 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).
12. 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.
13. 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.
14. Halkos, George & Petrou, Kleoniki Natalia, 2017. "Regional environmental efficiency in waste generation," MPRA Paper 81237, University Library of Munich, Germany.
15. 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.
16. 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.
17. 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).
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. 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.
20. Yu, Shiwei & Wei, Yi-Ming & Fan, Jingli & Zhang, Xian & Wang, Ke, 2012. "Exploring the regional characteristics of inter-provincial CO2 emissions in China: An improved fuzzy clustering analysis based on particle swarm optimization," Applied Energy, Elsevier, vol. 92(C), pages 552-562.
  - 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.
21. 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.
22. 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.
  - Ke Wang & Yi-Ming Wei & Xian Zhang, 2011. "A comparative analysis of China's regional energy and emission performance: Which is the better way to deal with undesirable outputs?," CEEP-BIT Working Papers 24, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
23. 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.
24. 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.
25. 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).
26. 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).
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. Sueyoshi, Toshiyuki & Goto, Mika, 2018. "Resource utilization for sustainability enhancement in Japanese industries," Applied Energy, Elsevier, vol. 228(C), pages 2308-2320.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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).
42. 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.
43. 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).
44. 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.
45. 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.
46. 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).
  - Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Applied Energy, Elsevier, vol. 132(C), pages 137-154.
47. 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.
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48. 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.
49. 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.
50. 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.
51. 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.
52. 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.
53. 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.
54. 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.
55. 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.
56. 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.
57. 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.
58. 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.
59. 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.
60. 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.
61. 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).
62. 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.
  - Hua Liao & Jian Du & Yi-Ming Wei, 2012. "Energy conservation in China: Key provincial sectors at two-digit level," CEEP-BIT Working Papers 53, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
63. 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.
  - Ke Wang & Yi-Ming Wei & Xian Zhang, 2014. "Energy and emissions efficiency patterns of Chinese regions: A multi-directional efficiency analysis," CEEP-BIT Working Papers 60, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
64. Trinks, Arjan & Mulder, Machiel & Scholtens, Bert, 2020. "An Efficiency Perspective on Carbon Emissions and Financial Performance," Ecological Economics, Elsevier, vol. 175(C).
65. 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.
66. 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.
67. Jingdong Zhong, 2019. "Biased Technical Change, Factor Substitution, and Carbon Emissions Efficiency in China," Sustainability, MDPI, vol. 11(4), pages 1-17, February.
68. Qingyou Yan & Xu Wang & Tomas BaleÅ¾entis & Dalia Streimikiene, 2018. "Energyâ€“economyâ€“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.
69. 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.
70. 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.
71. 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.
72. 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).
73. 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.
74. Wang, Juan & Li, Jing & Zhang, Qingjun, 2021. "Does carbon efficiency improve financial performance? Evidence from Chinese firms," Energy Economics, Elsevier, vol. 104(C).
75. Halkos, George & Petrou, Kleoniki Natalia, 2018. "Assessment of national waste generation in EU Member States’ efficiency," MPRA Paper 84590, University Library of Munich, Germany.
76. 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.
77. 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.
78. 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.
79. 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.
80. 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.
81. 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.
82. 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.
83. 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.
84. 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.
85. 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.
86. 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).
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. 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.
2. 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).
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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).
13. 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.
14. 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.
15. Zhang, Xiao-Bing, 2014. "Optimal strategic oil stockpiling and import tariffs: The case of China," Energy Economics, Elsevier, vol. 45(C), pages 463-474.
16. 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.
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. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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).
7. 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.
8. 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.
9. 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.
10. 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).
11. 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.
12. 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.
13. 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).
14. 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.
15. 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).
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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).
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
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.
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. 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.
3. 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).
4. 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.
5. Chen, Chien-Ming, 2013. "A critique of non-parametric efficiency analysis in energy economics studies," Energy Economics, Elsevier, vol. 38(C), pages 146-152.
6. 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.
7. 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.
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2. Pan, Xiongfeng & Li, Jinming, 2023. "Measurements and spatio-temporal evolution of regional energy efficiency convergence in China," Energy, Elsevier, vol. 284(C).
3. 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.
4. 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.
5. 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.
6. 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.
7. 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).
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.
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10. 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.
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23. 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.
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34. 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).
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38. 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).
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40. 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.
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42. 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).
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48. 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.
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58. 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.
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40. 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.
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44. 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.
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51. 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.
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267. 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.
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272. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
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289. 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.
290. 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.
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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. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
4. 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.
5. 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.
6. 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).
7. 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.
8. 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.
9. 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.
10. 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).
11. 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.
12. Omri, Anis, 2017. "Entrepreneurship, Sectoral Outputs and Environmental Improvement : International Evidence," MPRA Paper 82440, University Library of Munich, Germany.
  - Omri, Anis, 2017. "Entrepreneurship, Sectoral Outputs and Environmental Improvement : International Evidence," MPRA Paper 82450, University Library of Munich, Germany.
  - Omri, Anis, 2018. "Entrepreneurship, sectoral outputs and environmental improvement: International evidence," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 46-55.
13. 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).
14. 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.
15. 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.
16. 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).
17. 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.
18. 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.
19. Ščasný, M. & Ang, B.W. & Rečka, L., 2021. "Decomposition analysis of air pollutants during the transition and post-transition periods in the Czech Republic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
  - 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.
20. 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.
21. 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).
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. Md. Al Mamun & Kazi Sohag & Md. Abdul Hannan Mia & Gazi Salah Uddin & Ilhan Ozturk, 2014. "Regional Differences in the Dynamic Linkage between CO2 Emissions, Sectoral Output and Economic Growth," Working Papers 2014-141, Department of Research, Ipag Business School.
  - 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.
28. 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).
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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.
42. 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.
43. 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.
44. 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.
45. 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.
46. 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).
47. 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.
48. 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.
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.
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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).
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51. 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.
52. 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).
53. 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.
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2. Ang, B.W. & Su, Bin, 2016. "Carbon emission intensity in electricity production: A global analysis," Energy Policy, Elsevier, vol. 94(C), pages 56-63.
3. 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.
4. 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.
5. 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).
6. 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.
7. 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.
8. 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.
9. 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.
10. 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).
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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).
19. 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).
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
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.
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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. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
  - Shahbaz, Muhammad & Hye, Qazi Muhammad Adnan & Tiwari, Aviral Kumar & Leitão, Nuno Carlos, 2013. "Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 109-121.
  - Muhammad, Shahbaz & Qazi Muhammad Adnan, Hye & Aviral Kumar, Tiwari, 2013. "Economic Growth, Energy Consumption, Financial Development, International Trade and CO2 Emissions, in Indonesia," MPRA Paper 43272, University Library of Munich, Germany, revised 10 Dec 2012.
20. 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.
21. 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.
22. 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.
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30. 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.
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38. 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.
39. 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.
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3. 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.
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4. 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).
5. 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.
  - Misato Sato, 2012. "Embodied carbon in trade: a survey of the empirical literature," GRI Working Papers 77, Grantham Research Institute on Climate Change and the Environment.
6. 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.
7. 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).
8. 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.
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3. 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.
4. 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.
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6. 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.
7. 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.
8. 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.
9. 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.
10. Zhang, Ming & Guo, Fangyan, 2013. "Analysis of rural residential commercial energy consumption in China," Energy, Elsevier, vol. 52(C), pages 222-229.
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31. 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.
32. 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.
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37. 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.
38. 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.
39. 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.
40. 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.
41. 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.
42. 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.
43. 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.
44. 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).
45. 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.
46. 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.
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48. 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.
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56. 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).
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99. 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.
100. 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).
101. 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.
102. 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.
103. 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.
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. 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.
2. Carrillo, Marianela & Jorge, Jesús M., 2017. "Multidimensional Analysis of Regional Tourism Sustainability in Spain," Ecological Economics, Elsevier, vol. 140(C), pages 89-98.
3. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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).
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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).
18. 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.
19. 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.
20. 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.
21. Peng Zhang & Yuwei Zhang & Nuo Xu, 2022. "Measurement of carbon finance level and exploration of its influencing factors," Papers 2206.00189, arXiv.org.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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.
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.
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. 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. 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.
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. Walheer, Barnabé, 2023. "Meta-frontier and technology switchers: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 305(1), pages 463-474.
5. 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.
6. 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.
  - Jaraitė, Jūratė & Di Maria, Corrado, 2012. "Efficiency, productivity and environmental policy: A case study of power generation in the EU," Energy Economics, Elsevier, vol. 34(5), pages 1557-1568.
  - Jurate Jaraite & Corrado Di Maria, 2010. "Efficiency, Productivity and Environmental Policy: a Case Study of Power Generation in the EU," Economics Working Papers 10-05, Queen's Management School, Queen's University Belfast.
  - Jaraite, Jurate & Di Maria, Corrado, 2011. "Efficiency, Productivity and Environmental Policy: A Case Study of Power Generation in the EU," Sustainable Development Papers 101297, Fondazione Eni Enrico Mattei (FEEM).
  - Jurate Jaraite & Corrado Di Maria, 2011. "Efficiency, Productivity and Environmental Policy: A Case Study of Power Generation in the EU," Working Papers 2011.19, Fondazione Eni Enrico Mattei.
7. 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.
8. 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.
9. Wang, Ke & Lu, Bin & Wei, Yi-Ming, 2013. "China’s regional energy and environmental efficiency: A Range-Adjusted Measure based analysis," Applied Energy, Elsevier, vol. 112(C), pages 1403-1415.
  - 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.
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. Chen, Chien-Ming, 2013. "A critique of non-parametric efficiency analysis in energy economics studies," Energy Economics, Elsevier, vol. 38(C), pages 146-152.
12. 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.
13. 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).
14. 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.
15. 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.
16. Førsund, Finn R., 2008. "Good Modelling of Bad Outputs: Pollution and Multiple-Output Production," Memorandum 30/2008, Oslo University, Department of Economics.
  - Forsund, Finn R., 2009. "Good Modelling of Bad Outputs: Pollution and Multiple-Output Production," International Review of Environmental and Resource Economics, now publishers, vol. 3(1), pages 1-38, August.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. Borozan, Djula, 2018. "Technical and total factor energy efficiency of European regions: A two-stage approach," Energy, Elsevier, vol. 152(C), pages 521-532.
23. 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.
  - J. Kjaersgaard & N. Vestergaard & K. Kerstens, 2009. "Ecological benchmarking to explore alternative fishing schemes to protect endangered species by substitution : the danish demersal fishery in the north sea," Post-Print halshs-00473917, HAL.
  - Jens Kjærsgaard & Niels Vestergaard & Kristiaan Kerstens, 2008. "Ecological Benchmarking to Explore Alternative Fishing Schemes to Protect Endangered Species by Substitution: The Danish Demersal Fishery in the North Sea," Working Papers 2008-ECO-18, IESEG School of Management.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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).
29. 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.
30. Halkos, George & Petrou, Kleoniki Natalia, 2017. "Regional environmental efficiency in waste generation," MPRA Paper 81237, University Library of Munich, Germany.
31. Barros, Carlos Pestana & Managi, Shunsuke, 2009. "Productivity assessment of Angola's oil blocks," Energy, Elsevier, vol. 34(11), pages 2009-2015.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
  - Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2015. "Environmental investment and firm performance: A network approach," CERE Working Papers 2015:10, CERE - the Center for Environmental and Resource Economics.
40. 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.
41. Stergiou, Eirini, 2022. "Environmental Efficiency of European Industries across Sectors and Countries," MPRA Paper 114635, University Library of Munich, Germany.
42. 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).
43. 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.
44. 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).
45. 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.
46. 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.
47. 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.
48. 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).
49. Leleu, Hervé, 2013. "Shadow pricing of undesirable outputs in nonparametric analysis," European Journal of Operational Research, Elsevier, vol. 231(2), pages 474-480.
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50. 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).
51. 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.
52. Heesche, Emil & Asmild, Mette, 2022. "Incorporating quality in economic regulatory benchmarking," Omega, Elsevier, vol. 110(C).
53. 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.
  - Ke Wang & Yi-Ming Wei & Xian Zhang, 2011. "A comparative analysis of China's regional energy and emission performance: Which is the better way to deal with undesirable outputs?," CEEP-BIT Working Papers 24, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
54. Cao, Feifei, 2023. "Digital financial innovation and renewable electrification: A step toward zero carbon nexus," Renewable Energy, Elsevier, vol. 215(C).
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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).
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31. 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.
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35. 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).
36. 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.
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38. 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.
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41. 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.
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49. 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.
50. 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.
51. 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.
52. 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).
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63. 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.
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2. 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).
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4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
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21. 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.
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31. 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.
32. 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.
33. 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.
34. 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.
35. 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).
36. Leleu, Hervé, 2013. "Shadow pricing of undesirable outputs in nonparametric analysis," European Journal of Operational Research, Elsevier, vol. 231(2), pages 474-480.
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37. 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.
38. 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.
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39. 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.
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. 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.
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42. 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.
43. 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.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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.
50. 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.
51. 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.
52. 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.
53. Bretholt, Abraham & Pan, Jeh-Nan, 2013. "Evolving the latent variable model as an environmental DEA technology," Omega, Elsevier, vol. 41(2), pages 315-325.
54. George Halkos & George Papageorgiou, 2016. "Spatial environmental efficiency indicators in regional waste generation: a nonparametric approach," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(1), pages 62-78, January.
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55. 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.
56. 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.
57. 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.
58. 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.
59. 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.
60. 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.
61. 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.
62. 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.
63. 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.
64. 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.
65. 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.
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85. 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.
86. 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.
87. 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).
88. 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).
89. 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.
90. 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.
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93. 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.
94. 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.
95. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
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97. 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.
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100. 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.
101. 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.
102. 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.
103. 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.
104. 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.
105. 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.
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108. 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).
109. 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.
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Cited by:
1. 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.
2. 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).
3. 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.
4. 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.
5. 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).
6. 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.
7. 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.
8. 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.
9. Byeong U. Park & LÃ©opold 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.
10. 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.
11. Fan Liu & Ning Ma, 2019. "Multicriteria ABC Inventory Classification Using the Social Choice Theory," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
12. 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.
13. 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.
14. 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.
15. 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.
16. Park, Jaehun & Lee, Byung Kwon, 2021. "An opinion-driven decision-support framework for benchmarking hotel service," Omega, Elsevier, vol. 103(C).
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. Chodak, Grzegorz, 2010. "ABC Analysis in an Internet Shop: A New Set of Criteria," MPRA Paper 26280, University Library of Munich, Germany.
27. 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.
28. 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.
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. 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.
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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. 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.
4. 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).
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. McKenna, R. & Bertsch, V. & Mainzer, K. & Fichtner, W., 2018. "Combining local preferences with multi-criteria decision analysis and linear optimization to develop feasible energy concepts in small communities," European Journal of Operational Research, Elsevier, vol. 268(3), pages 1092-1110.
  - 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).
18. 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.
19. 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).
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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).
26. 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.
27. 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.
28. 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.
29. 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.
30. 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).
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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.
42. 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.
43. 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.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. Payam Rashidi & Masoud Homayounifar & Taghi Ebrahimi Salari & Modjtaba Rouhani, 2017. "Measuring Economic and Environmental Performance of Energy Resources in ISIC codes: Evidence from Iranâ€™s Industry Sector," Modern Applied Science, Canadian Center of Science and Education, vol. 11(12), pages 109-109, December.
50. 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.
51. 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.
52. 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.
53. 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.
54. 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.
55. 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.
56. 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.
57. 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.
58. 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.
59. 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.
60. 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.
61. 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.
62. 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.
63. 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.
64. 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.
65. 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).
66. 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.
67. 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.
68. 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.
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.
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1. 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.
2. 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.
3. 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.
4. 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.
5. Carrillo, Marianela & Jorge, Jesús M., 2017. "Multidimensional Analysis of Regional Tourism Sustainability in Spain," Ecological Economics, Elsevier, vol. 140(C), pages 89-98.
6. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. Pollesch, N.L. & Dale, V.H., 2016. "Normalization in sustainability assessment: Methods and implications," Ecological Economics, Elsevier, vol. 130(C), pages 195-208.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
  - Mukherjee, Sacchidananda & Chakraborty, Debashis, 2007. "Environment, Human Development and Economic Growth after Liberalisation: An Analysis of Indian States," MPRA Paper 6472, University Library of Munich, Germany.
  - Sacchidananda Mukherjee & Debashis Chakraborty, 2007. "Environment, Human Development and Economic Growth after Liberalisation: An Analysis of Indian States," Working Papers 2007-016, Madras School of Economics,Chennai,India.
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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.
42. 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).
43. Peng Zhang & Yuwei Zhang & Nuo Xu, 2022. "Measurement of carbon finance level and exploration of its influencing factors," Papers 2206.00189, arXiv.org.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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.
50. 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.
51. 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.
52. 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.
53. 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.
54. 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.
55. 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.
56. 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.
57. 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.
58. 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).
59. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
60. 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.
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62. 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.
63. 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.
64. 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).
65. Issaka Dialga, 2017. "A Sustainability Index of Mining Countries," Working Papers halshs-01500643, HAL.
66. 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.
67. 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).
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69. 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).
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Chapters

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. 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.
4. 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.
5. 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.
6. 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.
7. Payam Rashidi & Masoud Homayounifar & Taghi Ebrahimi Salari & Modjtaba Rouhani, 2017. "Measuring Economic and Environmental Performance of Energy Resources in ISIC codes: Evidence from Iranâ€™s Industry Sector," Modern Applied Science, Canadian Center of Science and Education, vol. 11(12), pages 109-109, December.
8. 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.
9. 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).
10. 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.
11. 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.

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