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Qunwei Wang

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.

Working papers

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Articles

  1. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).

    Cited by:

    1. Shi, Changfeng & Zhi, Jiaqi & Yao, Xiao & Zhang, Hong & Yu, Yue & Zeng, Qingshun & Li, Luji & Zhang, Yuxi, 2023. "How can China achieve the 2030 carbon peak goal—a crossover analysis based on low-carbon economics and deep learning," Energy, Elsevier, vol. 269(C).
    2. Dai, Xingyu & Dai, Peng-Fei & Wang, Qunwei & Ouyang, Zhi-Yi, 2023. "The impact of energy-exporting countries’ EPUs on China’s energy futures investors: Risk preference, investment position and investment horizon," Research in International Business and Finance, Elsevier, vol. 64(C).
    3. Gao, Feng & Shao, Xueyan, 2022. "A novel interval decomposition ensemble model for interval carbon price forecasting," Energy, Elsevier, vol. 243(C).
    4. Huang, Wenyang & Wang, Huiwen & Qin, Haotong & Wei, Yigang & Chevallier, Julien, 2022. "Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method," Energy Economics, Elsevier, vol. 110(C).
    5. Xinyu Wu & Xuebao Yin & Xueting Mei, 2022. "Forecasting the Volatility of European Union Allowance Futures with Climate Policy Uncertainty Using the EGARCH-MIDAS Model," Sustainability, MDPI, vol. 14(7), pages 1-13, April.
    6. Zhang, Kefei & Cao, Hua & Thé, Jesse & Yu, Hesheng, 2022. "A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms," Applied Energy, Elsevier, vol. 306(PA).
    7. Sha Liu & Yiting Zhang & Junping Wang & Danlei Feng, 2024. "Fluctuations and Forecasting of Carbon Price Based on A Hybrid Ensemble Learning GARCH-LSTM-Based Approach: A Case of Five Carbon Trading Markets in China," Sustainability, MDPI, vol. 16(4), pages 1-23, February.
    8. Wang, Jujie & Zhuang, Zhenzhen & Gao, Dongming, 2023. "An enhanced hybrid model based on multiple influencing factors and divide-conquer strategy for carbon price prediction," Omega, Elsevier, vol. 120(C).
    9. Emami Javanmard, M. & Tang, Y. & Wang, Z. & Tontiwachwuthikul, P., 2023. "Forecast energy demand, CO2 emissions and energy resource impacts for the transportation sector," Applied Energy, Elsevier, vol. 338(C).
    10. Katarzyna Rudnik & Anna Hnydiuk-Stefan & Aneta Kucińska-Landwójtowicz & Łukasz Mach, 2022. "Forecasting Day-Ahead Carbon Price by Modelling Its Determinants Using the PCA-Based Approach," Energies, MDPI, vol. 15(21), pages 1-23, October.
    11. Junhao Wu & Yuan Hu & Daqing Wu & Zhengyong Yang, 2022. "An Aquatic Product Price Forecast Model Using VMD-IBES-LSTM Hybrid Approach," Agriculture, MDPI, vol. 12(8), pages 1-26, August.
    12. Miao, Xiaoyu & Wang, Qunwei & Dai, Xingyu, 2022. "Is oil-gas price decoupling happening in China? A multi-scale quantile-on-quantile approach," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 450-470.
    13. Wang, Jujie & Xu, Wenjie & Zhang, Yue & Dong, Jian, 2022. "A novel air quality prediction and early warning system based on combined model of optimal feature extraction and intelligent optimization," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    14. Gaoxiu Qiao & Gongyue Jiang, 2023. "VIX futures pricing based on high‐frequency VIX: A hybrid approach combining SVR with parametric models," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1238-1260, September.
    15. Ding, Song & Tao, Zui & Zhang, Huahan & Li, Yao, 2022. "Forecasting nuclear energy consumption in China and America: An optimized structure-adaptative grey model," Energy, Elsevier, vol. 239(PA).
    16. Piao Wang & Shahid Hussain Gurmani & Zhifu Tao & Jinpei Liu & Huayou Chen, 2024. "Interval time series forecasting: A systematic literature review," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 249-285, March.
    17. Xian, Sidong & Feng, Miaomiao & Cheng, Yue, 2023. "Incremental nonlinear trend fuzzy granulation for carbon trading time series forecast," Applied Energy, Elsevier, vol. 352(C).
    18. Xiaolu Wei & Hongbing Ouyang, 2023. "Forecasting Carbon Price Using Double Shrinkage Methods," IJERPH, MDPI, vol. 20(2), pages 1-20, January.
    19. Lei, Heng & Xue, Minggao & Liu, Huiling, 2022. "Probability distribution forecasting of carbon allowance prices: A hybrid model considering multiple influencing factors," Energy Economics, Elsevier, vol. 113(C).
    20. Jujie Wang & Zhenzhen Zhuang, 2023. "A novel cluster based multi-index nonlinear ensemble framework for carbon price forecasting," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6225-6247, July.
    21. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    22. Ding, Song & Li, Ruojin & Wu, Shu & Zhou, Weijie, 2021. "Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 298(C).
    23. Sun, Wei & Zhang, Junjian, 2022. "A novel carbon price prediction model based on optimized least square support vector machine combining characteristic-scale decomposition and phase space reconstruction," Energy, Elsevier, vol. 253(C).
    24. Zhang, Fang & Xia, Yan, 2022. "Carbon price prediction models based on online news information analytics," Finance Research Letters, Elsevier, vol. 46(PA).
    25. Nagaraj Naik & Biju R. Mohan, 2021. "Stock Price Volatility Estimation Using Regime Switching Technique-Empirical Study on the Indian Stock Market," Mathematics, MDPI, vol. 9(14), pages 1-18, July.
    26. Yumin Li & Ruiqi Yang & Xiaoman Wang & Jiaming Zhu & Nan Song, 2023. "Carbon Price Combination Forecasting Model Based on Lasso Regression and Optimal Integration," Sustainability, MDPI, vol. 15(12), pages 1-26, June.
    27. Lin, Boqiang & Xu, Bin, 2021. "A non-parametric analysis of the driving factors of China's carbon prices," Energy Economics, Elsevier, vol. 104(C).
    28. Bufalo, Michele & Orlando, Giuseppe, 2023. "A three-factor stochastic model for forecasting production of energy materials," Finance Research Letters, Elsevier, vol. 51(C).
    29. Li, Dan & Li, Yijun & Wang, Chaoqun & Chen, Min & Wu, Qi, 2023. "Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks," Applied Energy, Elsevier, vol. 331(C).
    30. Wenhui Ke & Yimin Lu, 2024. "Ensemble Prediction Method Based on Decomposition–Reconstitution–Integration for COVID-19 Outbreak Prediction," Mathematics, MDPI, vol. 12(3), pages 1-20, February.
    31. Yee-Fan Tan & Lee-Yeng Ong & Meng-Chew Leow & Yee-Xian Goh, 2021. "Exploring Time-Series Forecasting Models for Dynamic Pricing in Digital Signage Advertising," Future Internet, MDPI, vol. 13(10), pages 1-24, September.
    32. Zhao, Yuan & Zhang, Weiguo & Gong, Xue & Wang, Chao, 2021. "A novel method for online real-time forecasting of crude oil price," Applied Energy, Elsevier, vol. 303(C).
    33. Na Fu & Liyan Geng & Junhai Ma & Xue Ding, 2023. "Price, Complexity, and Mathematical Model," Mathematics, MDPI, vol. 11(13), pages 1-30, June.
    34. Lin, Yu & Lu, Qin & Tan, Bin & Yu, Yuanyuan, 2022. "Forecasting energy prices using a novel hybrid model with variational mode decomposition," Energy, Elsevier, vol. 246(C).
    35. Wang, Piao & Tao, Zhifu & Liu, Jinpei & Chen, Huayou, 2023. "Improving the forecasting accuracy of interval-valued carbon price from a novel multi-scale framework with outliers detection: An improved interval-valued time series analysis mode," Energy Economics, Elsevier, vol. 118(C).
    36. Peng Chen & Andrew Vivian & Cheng Ye, 2022. "Forecasting carbon futures price: a hybrid method incorporating fuzzy entropy and extreme learning machine," Annals of Operations Research, Springer, vol. 313(1), pages 559-601, June.
    37. Po Yun & Chen Zhang & Yaqi Wu & Yu Yang, 2022. "Forecasting Carbon Dioxide Price Using a Time-Varying High-Order Moment Hybrid Model of NAGARCHSK and Gated Recurrent Unit Network," IJERPH, MDPI, vol. 19(2), pages 1-19, January.
    38. Zhang, Xiaokong & Chai, Jian & Tian, Lingyue & Yang, Ying & Zhang, Zhe George & Pan, Yue, 2023. "Forecast and structural characteristics of China's oil product consumption embedded in bottom-line thinking," Energy, Elsevier, vol. 278(PA).
    39. Qin Lu & Jingwen Liao & Kechi Chen & Yanhui Liang & Yu Lin, 2024. "Predicting Natural Gas Prices Based on a Novel Hybrid Model with Variational Mode Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 63(2), pages 639-678, February.

  2. Yu, Yi & Zhou, Dequn & Zha, Donglan & Wang, Qunwei & Zhu, Qingyuan, 2021. "Optimal production and pricing strategies in auto supply chain when dual credit policy is substituted for subsidy policy," Energy, Elsevier, vol. 226(C).

    Cited by:

    1. Yuchao Li & Lijie Zhang & Jiamin Liu & Xinpei Qiao, 2023. "Can the Dual-Credit Policy Help China’s New Energy Vehicle Industry Achieve Corner Overtaking?," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    2. Zhu, Lijing & Wang, Jingzhou & Farnoosh, Arash & Pan, Xunzhang, 2022. "A game-theory analysis of electric vehicle adoption in Beijing under license plate control policy," Energy, Elsevier, vol. 244(PA).
    3. 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.
    4. Yushi Wang & Licheng Sun & Shilong Li, 2022. "Production Decisions of Automakers Considering the Impact of Anticipated Regret under the Dual-Credit Policy," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
    5. Yangyang Wang & Yongxi Yi & Chunyan Fu & Yuqiong Li, 2023. "Price competition and joint energy‐consumption reduction technology investment of new energy and fuel vehicles under the double‐points policy," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2278-2291, June.
    6. Feng Liu & Yingshuang Tan & Sudipto Sarkar & Xueqing Zhang & Xingjun Huang, 2023. "When to invest in electric vehicles under dual credit policy: A real options approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2186-2198, June.
    7. Ma, Miaomiao & Meng, Weidong & Li, Yuyu & Huang, Bo, 2023. "Impact of dual credit policy on new energy vehicles technology innovation with information asymmetry," Applied Energy, Elsevier, vol. 332(C).
    8. Lian Ding & Xiaodong Zhu, 2023. "The Impact of the Dual-Credit Policy on Production and Cooperative R&D in the Automotive Supply Chain," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    9. Chang, Kai & Long, Yu & Yang, Jiahui & Zhang, Huijia & Xue, Chenqi & Liu, Jianing, 2022. "Effects of subsidy and tax rebate policies on green firm research and development efficiency in China," Energy, Elsevier, vol. 258(C).
    10. Ying Xie & Jie Wu & Hannian Zhi & Muhammad Riaz & Liangpeng Wu, 2023. "A Study on the Evolution of Competition in China’s Auto Market Considering Market Capacity Constraints and a Game Payoff Matrix: Based on the Dual Credit Policy," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    11. Haoyi Zhang & Fuquan Zhao & Han Hao & Zongwei Liu, 2021. "Effect of Chinese Corporate Average Fuel Consumption and New Energy Vehicle Dual-Credit Regulation on Passenger Cars Average Fuel Consumption Analysis," IJERPH, MDPI, vol. 18(14), pages 1-13, July.
    12. Liangui Peng & Ying Li & Hui Yu, 2021. "Effects of Dual Credit Policy and Consumer Preferences on Production Decisions in Automobile Supply Chain," Sustainability, MDPI, vol. 13(11), pages 1-19, May.

  3. Yu, Xianyu & Wu, Zemin & Wang, Qunwei & Sang, Xiuzhi & Zhou, Dequn, 2020. "Exploring the investment strategy of power enterprises under the nationwide carbon emissions trading mechanism: A scenario-based system dynamics approach," Energy Policy, Elsevier, vol. 140(C).

    Cited by:

    1. Hua Pan & Huimin Zhu & Minmin Teng, 2023. "Low-Carbon Transformation Strategy for Blockchain-Based Power Supply Chain," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    2. Wu, Jiansong & Zhang, Linlin & Bai, Yiping & Reniers, Genserik, 2022. "A safety investment optimization model for power grid enterprises based on System Dynamics and Bayesian network theory," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    3. Keke Wang & Dongxiao Niu & Min Yu & Yi Liang & Xiaolong Yang & Jing Wu & Xiaomin Xu, 2021. "Analysis and Countermeasures of China’s Green Electric Power Development," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    4. Tan, Xiujie & Sun, Qian & Wang, Meiji & Se Cheong, Tsun & Yan Shum, Wai & Huang, Jinpeng, 2022. "Assessing the effects of emissions trading systems on energy consumption and energy mix," Applied Energy, Elsevier, vol. 310(C).
    5. Wang, Delu & Gan, Jun & Mao, Jinqi & Chen, Fan & Yu, Lan, 2023. "Forecasting power demand in China with a CNN-LSTM model including multimodal information," Energy, Elsevier, vol. 263(PE).
    6. 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).
    7. 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).
    8. Hendalianpour, Ayad & Liu, Peide & Amirghodsi, Sirous & Hamzehlou, Mohammad, 2022. "Designing a System Dynamics model to simulate criteria affecting oil and gas development contracts," Resources Policy, Elsevier, vol. 78(C).
    9. Xi Chen & Zhigang Chen, 2021. "Can Green Finance Development Reduce Carbon Emissions? Empirical Evidence from 30 Chinese Provinces," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    10. Bai, Rui & Lin, Boqiang & Liu, Xiying, 2021. "Government subsidies and firm-level renewable energy investment: New evidence from partially linear functional-coefficient models," Energy Policy, Elsevier, vol. 159(C).
    11. Song, Xiao-hua & Han, Jing-jing & Zhang, Lu & Zhao, Cai-ping & Wang, Peng & Liu, Xiao-yan & Li, Qiao-chu, 2021. "Impacts of renewable portfolio standards on multi-market coupling trading of renewable energy in China: A scenario-based system dynamics model," Energy Policy, Elsevier, vol. 159(C).
    12. Huaibo Yang & Chao Shi & Jianbo Li & Tianran Liu & Youwei Li & Yao Wang & Yueying Yang, 2022. "Has the Inter-Regional Power Transmission Promoted Economic Development? A Quantitative Assessment in China," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
    13. Xu, Bin, 2023. "Exploring the sustainable growth pathway of wind power in China: Using the semiparametric regression model," Energy Policy, Elsevier, vol. 183(C).
    14. Qiao, Sen & Zhao, Dong Hao & Guo, Zi Xin & Tao, Zhang, 2022. "Factor price distortions, environmental regulation and innovation efficiency: An empirical study on China's power enterprises," Energy Policy, Elsevier, vol. 164(C).
    15. Zhang, Xinyue & Guo, Xiaopeng & Zhang, Xingping, 2023. "Assessing the policy synergy among power, carbon emissions trading and tradable green certificate market mechanisms on strategic GENCOs in China," Energy, Elsevier, vol. 278(PB).

  4. 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).

    Cited by:

    1. Luo, Guoliang & Liu, Yingxuan & Zhang, Liping & Xu, Xuan & Guo, Yiwei, 2021. "Do governmental subsidies improve the financial performance of China’s new energy power generation enterprises?," Energy, Elsevier, vol. 227(C).
    2. Liu, Jicheng & Lu, Yunyuan, 2022. "Research on the evaluation of China's photovoltaic policy driving ability under the background of carbon neutrality," Energy, Elsevier, vol. 250(C).
    3. Qiaoqiao Zhan & Katsunori Furuya & Xiaolan Tang & Zhehui Li, 2024. "Policy Development in China’s Protected Scenic and Historic Areas," Land, MDPI, vol. 13(2), pages 1-24, February.
    4. 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.
    5. Wang, Di & Zhang, Zhiyuan & Yang, Xiaodi & Zhang, Yanfang & Li, Yuman & Zhao, Yueying, 2021. "Multi-scenario simulation on the impact of China's electricity bidding policy based on complex networks model," Energy Policy, Elsevier, vol. 158(C).
    6. Bossink, Bart, 2020. "Learning strategies in sustainable energy demonstration projects: What organizations learn from sustainable energy demonstrations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    7. Bórawski, Piotr & Holden, Lisa & Bełdycka-Bórawska, Aneta, 2023. "Perspectives of photovoltaic energy market development in the european union," Energy, Elsevier, vol. 270(C).
    8. Li, Jianglong & Ho, Mun Sing, 2022. "Indirect cost of renewable energy: Insights from dispatching," Energy Economics, Elsevier, vol. 105(C).
    9. Guo, Xiaopeng & Dong, Yining & Ren, Dongfang, 2023. "CO2 emission reduction effect of photovoltaic industry through 2060 in China," Energy, Elsevier, vol. 269(C).
    10. Chong, Zhaotian & Wang, Qunwei & Wang, Lei, 2023. "Is the photovoltaic power generation policy effective in China? A quantitative analysis of policy synergy based on text mining," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    11. Lin, Boqiang & Xie, Yongjing, 2023. "The impact of government subsidies on capacity utilization in the Chinese renewable energy industry: Does technological innovation matter?," Applied Energy, Elsevier, vol. 352(C).
    12. 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).
    13. Bigerna, Simona & Ceccacci, Francesca & Micheli, Silvia & Polinori, Paolo, 2023. "Between saying and doing for ensuring energy resources supply: The case of Italy in time of crisis," Resources Policy, Elsevier, vol. 85(PA).

  5. 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.

    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.

  6. Zhou, Bo & Zhang, Cheng & Wang, Qunwei & Zhou, Dequn, 2020. "Does emission trading lead to carbon leakage in China? Direction and channel identifications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).

    Cited by:

    1. Zeng, Lijun & Wang, Jiafeng & Zhao, Laijun, 2022. "An inter-provincial tradable green certificate futures trading model under renewable portfolio standard policy," Energy, Elsevier, vol. 257(C).
    2. Longji Zeng & Yuandi Wang & Yajuan Deng, 2022. "How Land Transactions Affect Carbon Emissions: Evidence from China," Land, MDPI, vol. 11(5), pages 1-25, May.
    3. Lai, Aolin & Wang, Qunwei & Cui, Lianbiao, 2022. "Can market segmentation lead to green paradox? Evidence from China," Energy, Elsevier, vol. 254(PC).
    4. Congxin Li & Xu Zhang, 2022. "The Influencing Mechanisms on Global Industrial Value Chains Embedded in Trade Implied Carbon Emissions from a Higher-Order Networks Perspective," Sustainability, MDPI, vol. 14(22), pages 1-38, November.
    5. Zhang, Shengling & Wang, Yao & Hao, Yu & Liu, Zhiwei, 2021. "Shooting two hawks with one arrow: Could China's emission trading scheme promote green development efficiency and regional carbon equality?," Energy Economics, Elsevier, vol. 101(C).
    6. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    7. Zhang, Cheng & Zhou, Bo, 2023. "Where should the money go? The green effect of governmental guidance when sustainable finance impacts brown firms," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    8. Lin, Boqiang & Xu, Bin, 2021. "A non-parametric analysis of the driving factors of China's carbon prices," Energy Economics, Elsevier, vol. 104(C).
    9. He, Ling-Yun & Chen, Kun-Xian, 2023. "Does China's regional emission trading scheme lead to carbon leakage? Evidence from conglomerates," Energy Policy, Elsevier, vol. 175(C).
    10. 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).
    11. Jianhui Cong & Huimin Wang & Xiaoxiao Hu & Yongbin Zhao & Yingying Wang & Weiqiang Zhang & Ling Zhang, 2023. "Does China’s Pilot Carbon Market Cause Carbon Leakage? New Evidence from the Chemical, Building Material, and Metal Industries," IJERPH, MDPI, vol. 20(3), pages 1-27, January.
    12. Xuehui Yang & Jiaping Zhang & Lehua Bi & Yiming Jiang, 2023. "Does China’s Carbon Trading Pilot Policy Reduce Carbon Emissions? Empirical Analysis from 285 Cities," IJERPH, MDPI, vol. 20(5), pages 1-24, March.
    13. Feng, Tong & Du, Huibin & Coffman, D'Maris & Qu, Aiyu & Dong, Zhanfeng, 2021. "Clean heating and heating poverty: A perspective based on cost-benefit analysis," Energy Policy, Elsevier, vol. 152(C).
    14. Liu, Yunqiang & Liu, Sha & Shao, Xiaoyu & He, Yanqiu, 2022. "Policy spillover effect and action mechanism for environmental rights trading on green innovation: Evidence from China's carbon emissions trading policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    15. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    16. Huo, Weidong & Qi, Jie & Yang, Tong & Liu, Jialu & Liu, Miaomiao & Zhou, Ziqi, 2022. "Effects of China's pilot low-carbon city policy on carbon emission reduction: A quasi-natural experiment based on satellite data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    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).

  7. 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).

    Cited by:

    1. Chiambaretto, Paul & Mayenc, Elodie & Chappert, Hervé & Engsig, Juliane & Fernandez, Anne-Sophie & Le Roy, Frédéric, 2021. "Where does flygskam come from? The role of citizens’ lack of knowledge of the environmental impact of air transport in explaining the development of flight shame," Journal of Air Transport Management, Elsevier, vol. 93(C).
    2. Qiu, Rui & Xu, Jiuping & Zeng, Ziqiang & Chen, Xin & Wang, Yinhai, 2022. "Carbon tax policy-induced air travel carbon emission reduction and biofuel usage in China," Journal of Air Transport Management, Elsevier, vol. 103(C).
    3. Cheng Li & Yangzhou Li & Jian Xing, 2023. "Multivariate Grey Prediction Model Application in Civil Aviation Carbon Emission Based on Fractional Order Accumulation and Background Value Optimization," Sustainability, MDPI, vol. 15(11), pages 1-19, June.
    4. Akhil Kunche & Bożena Mielczarek, 2021. "Application of System Dynamic Modelling for Evaluation of Carbon Mitigation Strategies in Cement Industries: A Comparative Overview of the Current State of the Art," Energies, MDPI, vol. 14(5), pages 1-22, March.
    5. Dai, Xingyu & Li, Matthew C. & Xiao, Ling & Wang, Qunwei, 2022. "COVID-19 and China commodity price jump behavior: An information spillover and wavelet coherency analysis," Resources Policy, Elsevier, vol. 79(C).
    6. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    7. 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).
    8. Michelmann, Johannes & Schmalz, Ulrike & Becker, Axel & Stroh, Florian & Behnke, Sebastian & Hornung, Mirko, 2023. "Influence of COVID-19 on air travel - A scenario study toward future trusted aviation," Journal of Air Transport Management, Elsevier, vol. 106(C).
    9. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).

  8. 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).

    Cited by:

    1. Tanrıverdi, Gökhan & Merkert, Rico & Karamaşa, Çağlar & Asker, Veysi, 2023. "Using multi-criteria performance measurement models to evaluate the financial, operational and environmental sustainability of airlines," Journal of Air Transport Management, Elsevier, vol. 112(C).
    2. 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.
    3. Yu, Ming-Miin & Chen, Li-Hsueh, 2023. "Productivity change of airlines: A global total factor productivity index with network structure," Journal of Air Transport Management, Elsevier, vol. 109(C).

  9. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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).
    12. 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).
    13. 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).
    14. 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).
    15. 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.
    16. Popkova, Elena G. & Sergi, Bruno S., 2021. "Energy efficiency in leading emerging and developed countries," Energy, Elsevier, vol. 221(C).

  10. Dai, Xingyu & Wang, Qunwei & Zha, Donglan & Zhou, Dequn, 2020. "Multi-scale dependence structure and risk contagion between oil, gold, and US exchange rate: A wavelet-based vine-copula approach," Energy Economics, Elsevier, vol. 88(C).

    Cited by:

    1. Dai, Xingyu & Dai, Peng-Fei & Wang, Qunwei & Ouyang, Zhi-Yi, 2023. "The impact of energy-exporting countries’ EPUs on China’s energy futures investors: Risk preference, investment position and investment horizon," Research in International Business and Finance, Elsevier, vol. 64(C).
    2. Wu, Tao & An, Feng & Gao, Xiangyun & Wang, Ze, 2023. "Hidden causality between oil prices and exchange rates," Resources Policy, Elsevier, vol. 82(C).
    3. Ding, Qian & Huang, Jianbai & Chen, Jinyu, 2021. "Dynamic and frequency-domain risk spillovers among oil, gold, and foreign exchange markets: Evidence from implied volatility," Energy Economics, Elsevier, vol. 102(C).
    4. 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.
    5. Zhang, Dongna & Dai, Xingyu & Wang, Qunwei & Lau, Chi Keung Marco, 2023. "Impacts of weather conditions on the US commodity markets systemic interdependence across multi-timescales," Energy Economics, Elsevier, vol. 123(C).
    6. Zhao, Yi & Dai, Xingyu & Zhang, Dongna & Wang, Qunwei & Cao, Yaru, 2023. "Do weather conditions drive China's carbon-coal-electricity markets systemic risk? A multi-timescale analysis," Finance Research Letters, Elsevier, vol. 51(C).
    7. Tong, Yuan & Wan, Ning & Dai, Xingyu & Bi, Xiaoyi & Wang, Qunwei, 2022. "China's energy stock market jumps: To what extent does the COVID-19 pandemic play a part?," Energy Economics, Elsevier, vol. 109(C).
    8. Miao, Xiaoyu & Wang, Qunwei & Dai, Xingyu, 2022. "Is oil-gas price decoupling happening in China? A multi-scale quantile-on-quantile approach," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 450-470.
    9. Liu, Jianing & Man, Yuanyuan & Dong, Xiuliang, 2023. "Tail dependence and risk spillover effects between China's carbon market and energy markets," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 553-567.
    10. Wen, Fenghua & Liu, Zhen & Dai, Zhifeng & He, Shaoyi & Liu, Wenhua, 2022. "Multi-scale risk contagion among international oil market, Chinese commodity market and Chinese stock market: A MODWT-Vine quantile regression approach," Energy Economics, Elsevier, vol. 109(C).
    11. Wei Kuang, 2022. "Oil tail-risk forecasts: from financial crisis to COVID-19," Risk Management, Palgrave Macmillan, vol. 24(4), pages 420-460, December.
    12. Bin Mo & Juan Meng & Guannan Wang, 2023. "Risk Dependence and Risk Spillovers Effect from Crude Oil on the Chinese Stock Market and Gold Market: Implications on Portfolio Management," Energies, MDPI, vol. 16(5), pages 1-17, February.
    13. Esparcia, Carlos & Jareño, Francisco & Umar, Zaghum, 2022. "Revisiting the safe haven role of Gold across time and frequencies during the COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    14. Meng, Bin & Chen, Shuiyang & Haralambides, Hercules & Kuang, Haibo & Fan, Lidong, 2023. "Information spillovers between carbon emissions trading prices and shipping markets: A time-frequency analysis," Energy Economics, Elsevier, vol. 120(C).
    15. Fasanya, Ismail O. & Adekoya, Oluwasegun B. & Adetokunbo, Abiodun M., 2021. "On the connection between oil and global foreign exchange markets: The role of economic policy uncertainty," Resources Policy, Elsevier, vol. 72(C).
    16. Li, Sufang & Xu, Qiufan & Lv, Yixue & Yuan, Di, 2022. "Public attention, oil and gold markets during the COVID-19: Evidence from time-frequency analysis," Resources Policy, Elsevier, vol. 78(C).
    17. Luo, Changqing & Liu, Lan & Wang, Da, 2021. "Multiscale financial risk contagion between international stock markets: Evidence from EMD-Copula-CoVaR analysis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    18. Yang, Cai & Wang, Xinyi & Gao, Wang, 2022. "Is Bitcoin a better hedging and safe-haven investment than traditional assets against currencies? Evidence from the time-frequency domain approach," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    19. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2020. "Spillovers and co-movements between precious metals and energy markets: Implications on portfolio management," Resources Policy, Elsevier, vol. 69(C).
    20. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    21. Albulescu, Claudiu Tiberiu & Ajmi, Ahdi Noomen, 2021. "Oil price and US dollar exchange rate: Change detection of bi-directional causal impact," Energy Economics, Elsevier, vol. 100(C).
    22. Mohsin, Muhammad & Jamaani, Fouad, 2023. "Green finance and the socio-politico-economic factors’ impact on the future oil prices: Evidence from machine learning," Resources Policy, Elsevier, vol. 85(PA).
    23. Yan, Juan & Haroon, Muhammad, 2023. "Financing efficiency in natural resource markets mobilizing private and public capital for a green recovery," Resources Policy, Elsevier, vol. 85(PB).
    24. Salisu, Afees A. & Adediran, Idris & Omoke, Philip C. & Tchankam, Jean Paul, 2023. "Gold and tail risks," Resources Policy, Elsevier, vol. 80(C).
    25. Guliyev, Hasraddin & Mustafayev, Eldayag, 2022. "Predicting the changes in the WTI crude oil price dynamics using machine learning models," Resources Policy, Elsevier, vol. 77(C).
    26. Kamal, Elham & Bouri, Elie, 2023. "Dependence structure among rare earth and financial markets: A multiscale-vine copula approach," Resources Policy, Elsevier, vol. 83(C).
    27. Zhang, Zitao & Qin, Yun, 2022. "Study on the nonlinear interactions among the international oil price, the RMB exchange rate and China's gold price," Resources Policy, Elsevier, vol. 77(C).
    28. Syuhada, Khreshna & Suprijanto, Djoko & Hakim, Arief, 2022. "Comparing gold’s and Bitcoin’s safe-haven roles against energy commodities during the COVID-19 outbreak: A vine copula approach," Finance Research Letters, Elsevier, vol. 46(PB).
    29. Zhongzheng, Wang, 2023. "Extreme risk transmission mechanism between oil, green bonds and new energy vehicles," Innovation and Green Development, Elsevier, vol. 2(3).
    30. Chen, Qitong & Zhu, Huiming & Yu, Dongwei & Hau, Liya, 2022. "How does investor attention matter for crude oil prices and returns? Evidence from time-frequency quantile causality analysis," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    31. Ouyang, Zisheng & Zhou, Xuewei, 2023. "Multilayer networks in the frequency domain: Measuring extreme risk connectedness of Chinese financial institutions," Research in International Business and Finance, Elsevier, vol. 65(C).
    32. Cheng, Sheng & Han, Lingyu & Cao, Yan & Jiang, Qisheng & Liang, Ruibin, 2022. "Gold-oil dynamic relationship and the asymmetric role of geopolitical risks: Evidence from Bayesian pdBEKK-GARCH with regime switching," Resources Policy, Elsevier, vol. 78(C).
    33. Dai, Xingyu & Li, Matthew C. & Xiao, Ling & Wang, Qunwei, 2022. "COVID-19 and China commodity price jump behavior: An information spillover and wavelet coherency analysis," Resources Policy, Elsevier, vol. 79(C).
    34. Zhang, Xiaoming & Zhang, Tong & Lee, Chien-Chiang, 2022. "The path of financial risk spillover in the stock market based on the R-vine-Copula model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    35. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Shao, Xuefeng & Le, TN-Lan & Gyamfi, Matthew Ntow, 2023. "Financial technology stocks, green financial assets, and energy markets: A quantile causality and dependence analysis," Energy Economics, Elsevier, vol. 118(C).
    36. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    37. Anwer, Zaheer & Khan, Ashraf & Kabir Hassan, M. & Rashid, Mamunur, 2022. "Does the regional proximity lead to exchange rate spillover?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    38. Li, Zheng-Zheng & Li, Yameng & Huang, Chia-Yun & Peculea, Adelina Dumitrescu, 2023. "Volatility spillover across Chinese carbon markets: Evidence from quantile connectedness method," Energy Economics, Elsevier, vol. 119(C).
    39. Wang, Qunwei & Liu, Mengmeng & Xiao, Ling & Dai, Xingyu & Li, Matthew C. & Wu, Fei, 2022. "Conditional sovereign CDS in market basket risk scenario: A dynamic vine-copula analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).
    40. Gong, Xu & Jin, Yujing & Liu, Tangyong, 2023. "Analyzing pure contagion between crude oil and agricultural futures markets," Energy, Elsevier, vol. 269(C).

  11. Qunwei Wang & Xingyu Dai & Dequn Zhou, 2020. "Dynamic Correlation and Risk Contagion Between “Black” Futures in China: A Multi-scale Variational Mode Decomposition Approach," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1117-1150, April.

    Cited by:

    1. Zhao, Yi & Dai, Xingyu & Zhang, Dongna & Wang, Qunwei & Cao, Yaru, 2023. "Do weather conditions drive China's carbon-coal-electricity markets systemic risk? A multi-timescale analysis," Finance Research Letters, Elsevier, vol. 51(C).
    2. Miao, Xiaoyu & Wang, Qunwei & Dai, Xingyu, 2022. "Is oil-gas price decoupling happening in China? A multi-scale quantile-on-quantile approach," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 450-470.
    3. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    4. 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.
    5. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    6. Shi, Yangyan & Feng, Yu & Zhang, Qi & Shuai, Jing & Niu, Jiangxin, 2023. "Does China's new energy vehicles supply chain stock market have risk spillovers? Evidence from raw material price effect on lithium batteries," Energy, Elsevier, vol. 262(PA).
    7. Wang, Qunwei & Liu, Mengmeng & Xiao, Ling & Dai, Xingyu & Li, Matthew C. & Wu, Fei, 2022. "Conditional sovereign CDS in market basket risk scenario: A dynamic vine-copula analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).

  12. 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.

  13. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).

    Cited by:

    1. 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.
    2. 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).
    3. 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).
    4. Cheng, Xiu & Wu, Fan & Long, Ruyin & Li, Wenbo, 2021. "Uncovering the effects of learning capacity and social interaction on the experienced utility of low-carbon lifestyle guiding policies," Energy Policy, Elsevier, vol. 154(C).
    5. 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).
    6. Andreoni, Valeria, 2022. "Drivers of coal consumption changes: A decomposition analysis for Chinese regions," Energy, Elsevier, vol. 242(C).
    7. Lin, Boqiang & Xu, Bin, 2021. "A non-parametric analysis of the driving factors of China's carbon prices," Energy Economics, Elsevier, vol. 104(C).
    8. Yan, Junna & Li, Yingzhu & Su, Bin & Ng, Tsan Sheng, 2022. "Contributors and drivers of Chinese energy use and intensity from regional and demand perspectives, 2012-2015-2017," Energy Economics, Elsevier, vol. 115(C).
    9. 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).
    10. Zhong, Jiarui & Pei, Jiansuo, 2022. "Beggar thy neighbor? On the competitiveness and welfare impacts of the EU's proposed carbon border adjustment mechanism," Energy Policy, Elsevier, vol. 162(C).
    11. Zhuang, Mufan & Gao, Ziyan & Geng, Yong & Xiao, Shijiang, 2022. "Spatial distribution pattern of embodied natural resources use in China and its relationship with socioeconomic development: From an exergetic perspective," Resources Policy, Elsevier, vol. 79(C).
    12. Sun, Ya-Fang & Zhang, Yue-Jun & Su, Bin, 2022. "How does global transport sector improve the emissions reduction performance? A demand-side analysis," Applied Energy, Elsevier, vol. 311(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. Duan, Yuwan & Yan, Bingqian, 2021. "Has processing trade made China's exports cleaner? A regional level analysis," Energy Economics, Elsevier, vol. 96(C).
    15. Yang, Xi & Pang, Jun & Teng, Fei & Gong, Ruixin & Springer, Cecilia, 2021. "The environmental co-benefit and economic impact of China's low-carbon pathways: Evidence from linking bottom-up and top-down models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    16. Cheng Zhang & Ziwei Zhao & Qunwei Wang, 2022. "Effect of Western Development Strategy on carbon productivity and its influencing mechanisms," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 4963-5002, April.
    17. Zheng, Shenglin & Yuan, Rong, 2023. "Sectoral convergence analysis of China's emissions intensity and its implications," Energy, Elsevier, vol. 262(PB).

  14. Zha, Donglan & Yang, Guanglei & Wang, Wenzhong & Wang, Qunwei & Zhou, Dequn, 2020. "Appliance energy labels and consumer heterogeneity: A latent class approach based on a discrete choice experiment in China," Energy Economics, Elsevier, vol. 90(C).

    Cited by:

    1. Schaufele, Brandon, 2021. "Lessons from a utility-sponsored revenue neutral electricity conservation program," Energy Policy, Elsevier, vol. 150(C).
    2. Faure, Corinne & Guetlein, Marie-Charlotte & Schleich, Joachim, 2021. "Effects of rescaling the EU energy label on household preferences for top-rated appliances," Energy Policy, Elsevier, vol. 156(C).
    3. Kim, Yusun & Reeling, Carson & Widmar, Nicole J.O. & Lee, John G., 2023. "Estimating a model of forward-looking behavior with discrete choice experiments: The case of lifetime hunting license demand," Journal of choice modelling, Elsevier, vol. 47(C).
    4. Lei, Mingyu & Cai, Wenjia & Liu, Wenling & Wang, Can, 2022. "The heterogeneity in energy consumption patterns and home appliance purchasing preferences across urban households in China," Energy, Elsevier, vol. 253(C).
    5. Mahirah Kamaludin & Muhd Azrin Shah Razali & Nazatul Faizah Haron & A. A. Azlina, 2021. "Energy Efficiency Labelling: Investigating Students Preferences and Awareness on the Energy-efficient Electrical Appliances in Hostel," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 300-308.
    6. Diego Menegon & Daniela Lobosco & Leopoldo Micò & Joana Fernandes, 2021. "Labeling of Installed Heating Appliances in Residential Buildings: An Energy Labeling Methodology for Improving Consumers’ Awareness," Energies, MDPI, vol. 14(21), pages 1-17, October.
    7. Schleich, Joachim & Durand, Antoine & Brugger, Heike, 2021. "How effective are EU minimum energy performance standards and energy labels for cold appliances?," Energy Policy, Elsevier, vol. 149(C).
    8. Zhang, Yixiang & Li, Juan & Tao, Wenwen, 2021. "Does energy efficiency affect appliance prices? Empirical analysis of air conditioners in China based on propensity score matching," Energy Economics, Elsevier, vol. 101(C).
    9. Arkadiusz T. Borowiec, 2023. "Modeling Activities Related to Improving Energy Efficiency in the Public Procurement Process in Poland," Energies, MDPI, vol. 16(6), pages 1-12, March.
    10. Choi, Hyunhong & Koo, Yoonmo, 2023. "New technology product introduction strategy with considerations for consumer-targeted policy intervention and new market entrant," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    11. Gongyi Zhang & Chang Zhang & Hongguang Nie, 2021. "An Overview of China’s Energy Labeling Policy Portfolio: China’s Contribution to Addressing the Global Goal of Sustainable Development," SAGE Open, , vol. 11(1), pages 21582440209, January.
    12. Charlier, Dorothée, 2021. "Explaining the energy performance gap in buildings with a latent profile analysis," Energy Policy, Elsevier, vol. 156(C).
    13. Chaudhuri, Kausik & Huaccha, Gissell, 2023. "Who bears the energy cost? Local income deprivation and the household energy efficiency gap," Energy Economics, Elsevier, vol. 127(PA).
    14. He, Shutong & Blasch, Julia & van Beukering, Pieter & Wang, Junfeng, 2022. "Energy labels and heuristic decision-making: The role of cognition and energy literacy," Energy Economics, Elsevier, vol. 114(C).
    15. Olsthoorn, Mark & Schleich, Joachim & Guetlein, Marie-Charlotte & Durand, Antoine & Faure, Corinne, 2023. "Beyond energy efficiency: Do consumers care about life-cycle properties of household appliances?," Energy Policy, Elsevier, vol. 174(C).
    16. Dorothée Charlier, 2021. "Explaining the energy performance gap in buildings with a latent profile analysis," Post-Print hal-03894155, HAL.
    17. Zhang, Yixiang & Song, Bowei, 2023. "Does energy-efficiency label affect appliance price? Empirical analysis of the new national standard air conditioners in China," Energy, Elsevier, vol. 269(C).
    18. Zhuangai Li & Xia Cao, 2021. "Effectiveness of China’s Labeling and Incentive Programs for Household Energy Conservation and Policy Implications," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    19. Amaia de Ayala & María del Mar Solà, 2022. "Assessing the EU Energy Efficiency Label for Appliances: Issues, Potential Improvements and Challenges," Energies, MDPI, vol. 15(12), pages 1-25, June.

  15. 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.

    Cited by:

    1. Haijuan Yan & Xiaofei Hu & Dawei Wu & Jianing Zhang, 2021. "Exploring the green development path of the Yangtze River Economic Belt using the entropy weight method and fuzzy-set qualitative comparative analysis," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-22, December.
    2. Xiangqian Wang & Shudong Wang & Yongqiu Xia, 2022. "Evaluation and Dynamic Evolution of the Total Factor Environmental Efficiency in China’s Mining Industry," Energies, MDPI, vol. 15(3), pages 1-19, February.

  16. 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).

    Cited by:

    1. Li, Zhimin & Pan, Yanchun & Yang, Wen & Ma, Jianhua & Zhou, Ming, 2021. "Effects of government subsidies on green technology investment and green marketing coordination of supply chain under the cap-and-trade mechanism," Energy Economics, Elsevier, vol. 101(C).
    2. Zhang, Hanyu & Assereto, Martina & Byrne, Julie, 2023. "Deferring real options with solar renewable energy certificates," Global Finance Journal, Elsevier, vol. 55(C).
    3. 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).
    4. Tu, Qiang & Mo, Jianlei & Liu, Zhuoran & Gong, Chunxu & Fan, Ying, 2021. "Using green finance to counteract the adverse effects of COVID-19 pandemic on renewable energy investment-The case of offshore wind power in China," Energy Policy, Elsevier, vol. 158(C).
    5. Lin, Boqiang & Li, Minyang, 2022. "Understanding the investment of renewable energy firms in the face of economic policy uncertainty – Micro-evidence from listed companies in China," China Economic Review, Elsevier, vol. 75(C).
    6. Sun, Yanpeng & Chang, Hsuling & Vasbieva, Dinara G. & Andlib, Zubaria, 2022. "Economic performance, investment in energy resources, foreign trade, and natural resources volatility nexus: Evidence from China's provincial data," Resources Policy, Elsevier, vol. 78(C).
    7. 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).
    8. Li, Jianglong & Ho, Mun Sing, 2022. "Indirect cost of renewable energy: Insights from dispatching," Energy Economics, Elsevier, vol. 105(C).
    9. Mombello, Bruno & Olsina, Fernando & Pringles, Rolando, 2023. "Valuing photovoltaic power plants by compound real options," Renewable Energy, Elsevier, vol. 216(C).
    10. Ang Yang & Xiangyu Meng & He He & Liang Wang & Jing Gao, 2022. "Towards Optimized ARMGs’ Low-Carbon Transition Investment Decision Based on Real Options," Energies, MDPI, vol. 15(14), pages 1-16, July.
    11. Young Gwan Lee & Kihyun Park & Hyun Jae Kim & Seong-Hoon Cho, 2023. "Creating portfolios of firm-specific energy R&D investment under market uncertainty," Energy & Environment, , vol. 34(5), pages 1548-1563, August.
    12. 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.
    13. Zhang, Yao & Zhang, Yuxin & Gong, Chao & Dinçer, Hasan & Yüksel, Serhat, 2022. "An integrated hesitant 2-tuple Pythagorean fuzzy analysis of QFD-based innovation cost and duration for renewable energy projects," Energy, Elsevier, vol. 248(C).
    14. Mesias Alfeus & James Collins, 2023. "A novel stochastic modeling framework for coal production and logistics through options pricing analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-19, December.

  17. Dequn Zhou & Lu Zhang & Donglan Zha & Fei Wu & Qunwei Wang, 2019. "Decoupling and decomposing analysis of construction industry’s energy consumption 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. 95(1), pages 39-53, January.

    Cited by:

    1. Zhaocheng Li & Yu Song, 2022. "Energy Consumption Linkages of the Chinese Construction Sector," Energies, MDPI, vol. 15(5), pages 1-13, February.
    2. Junheng Qi & Mingxing Hu & Bing Han & Jiemin Zheng & Hui Wang, 2022. "Decoupling Relationship between Industrial Land Expansion and Economic Development in China," Land, MDPI, vol. 11(8), pages 1-21, July.

  18. Zhou, Dequn & Wu, Changsong & Wang, Qunwei & Zha, Donglan, 2019. "Response of scale and leverage of thermal power enterprises to renewable power enterprises in China," Applied Energy, Elsevier, vol. 251(C), pages 1-1.

    Cited by:

    1. Hou, Hongjuan & Wu, Jiwen & Ding, Zeyu & Yang, Bo & Hu, Eric, 2021. "Performance analysis of a solar-assisted combined cooling, heating and power system with an improved operation strategy," Energy, Elsevier, vol. 227(C).
    2. Lingyun Mi & Yuhuan Sun & Lijie Qiao & Tianwen Jia & Yang Yang & Tao Lv, 2021. "Analysis of the Cause of Household Carbon Lock-In for Chinese Urban Households," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    3. Huang, Chang & Yan, Yixian & Madonski, Rafal & Zhang, Qi & Deng, Hui, 2023. "Improving operation strategies for solar-based distributed energy systems: Matching system design with operation," Energy, Elsevier, vol. 276(C).
    4. 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).

  19. 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.

    Cited by:

    1. Chen, Zhenni & Liu, Xi & Li, Jianglong, 2022. "Identifying channels of environmental impacts of transport sector through sectoral linkage analysis," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    2. Li, Yaya & Zhang, Yun, 2023. "What is the role of green ICT innovation in lowering carbon emissions in China? A provincial-level analysis," Energy Economics, Elsevier, vol. 127(PA).
    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. Chris Belmert Milindi & Roula Inglesi-Lotz, 2021. "Impact of technological progress on carbon emissions in different country income groups," Working Papers 202123, University of Pretoria, Department of Economics.
    5. Danish, & Khan, Salahuddin & Haneklaus, Nils, 2023. "Sustainable economic development across globe: The dynamics between technology, digital trade and economic performance," Technology in Society, Elsevier, vol. 72(C).
    6. Favour Chidinma Onuoha & Benedict I. Uzoechina & Chukwunenye Ferguson Emekaraonye & Onyinye Ifeoma Ochuba & Nora Francis Inyang, 2023. "Information and communication technologies and sustainable development in ECOWAS subregion: Evidence from a panel cointegration analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 787-806, March.
    7. Marta Gangolells & Miquel Casals & Marcel Macarulla & Núria Forcada, 2021. "Exploring the Potential of a Gamified Approach to Reduce Energy Use and Carbon Emissions in the Household Sector," Sustainability, MDPI, vol. 13(6), pages 1-18, March.
    8. Sun, Hongye & Kim, Giseung, 2021. "The composite impact of ICT industry on lowering carbon intensity: From the perspective of regional heterogeneity," Technology in Society, Elsevier, vol. 66(C).
    9. Lina Karabetyan, 2023. "Impact of Entrepreneurial Activity and ICT Development on Sustainable Development: Evidence from High-Income Countries," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    10. Keyong Zhang & Sulun Li & Peng Qin & Bohong Wang, 2022. "Spatial and Temporal Effects of Digital Technology Development on Carbon Emissions: Evidence from China," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    11. Olatunji Abdul Shobande, 2021. "Decomposing the Persistent and Transitory Effect of Information and Communication Technology on Environmental Impacts Assessment in Africa: Evidence from Mundlak Specification," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
    12. Zhenzhen Liao & Shaofeng Ru & Yiyang Cheng, 2023. "A Simulation Study on the Impact of the Digital Economy on CO 2 Emission Based on the System Dynamics Model," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    13. Jingwei Sun & Jingzhu Chen, 2023. "Digital Economy, Energy Structure Transformation, and Regional Carbon Dioxide Emissions," Sustainability, MDPI, vol. 15(11), pages 1-16, May.
    14. Ștefan Vlăduțescu & Georgiana Camelia Stănescu, 2023. "Environmental Sustainability of Metaverse: Perspectives from Romanian Developers," Sustainability, MDPI, vol. 15(15), pages 1-20, July.
    15. Sun, Ya-Fang & Yu, Shiwei & Zhang, Yue-Jun & Su, Bin, 2023. "How do imports change the energy consumption of China? An analysis of its role in intermediate inputs and final demands," Energy, Elsevier, vol. 270(C).
    16. 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).
    17. Geng Peng & Yixuan Tang & Kaiyou Tian, 2023. "Understanding the Nonlinear Impact of Information and Communication Technology on Carbon Emissions in the Logistics Industry of China," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    18. Zhang, Xudong & Song, Xueqian & Lu, Jianguang & Liu, Fei, 2022. "How financial development and digital trade affect ecological sustainability: The role of renewable energy using an advanced panel in G-7 Countries," Renewable Energy, Elsevier, vol. 199(C), pages 1005-1015.
    19. Rongwu Zhang & Wenqiang Fu & Yingxu Kuang, 2022. "Can Digital Economy Promote Energy Conservation and Emission Reduction in Heavily Polluting Enterprises? Empirical Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    20. Ke-Liang Wang & Rui-Rui Zhu & Yun-He Cheng, 2022. "Does the Development of Digital Finance Contribute to Haze Pollution Control? Evidence from China," Energies, MDPI, vol. 15(7), pages 1-21, April.
    21. Junjun Tang & Xing Zhao, 2023. "Does the new digital infrastructure improve total factor productivity?," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 895-916, October.
    22. Qian Zhang & Qizhen Wang, 2023. "Digitalization, Electricity Consumption and Carbon Emissions—Evidence from Manufacturing Industries in China," IJERPH, MDPI, vol. 20(5), pages 1-21, February.
    23. Hazwan Haini, 2021. "Examining the impact of ICT, human capital and carbon emissions: Evidence from the ASEAN economies," International Economics, CEPII research center, issue 166, pages 116-125.
    24. Wang, Xueting & Qiu, Feng & Zhang, Junbiao & Tong, Qingmeng, 2020. "Does Internet use help increase residents’ participation in programs to improve the dwelling environment? Evidence from China," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304234, Agricultural and Applied Economics Association.
    25. Zihanxin Li & Nuoyan Li & Huwei Wen, 2021. "Digital Economy and Environmental Quality: Evidence from 217 Cities in China," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    26. Zhong Ren & Jie Zhang, 2023. "Digital Economy, Clean Energy Consumption, and High-Quality Economic Development: The Case of China," Sustainability, MDPI, vol. 15(18), pages 1-24, September.
    27. Wang, Lei & Chen, Yangyang & Ramsey, Thomas Stephen & Hewings, Geoffrey J.D., 2021. "Will researching digital technology really empower green development?," Technology in Society, Elsevier, vol. 66(C).
    28. Wang, Jianda & Dong, Kangyin & Dong, Xiucheng & Taghizadeh-Hesary, Farhad, 2022. "Assessing the digital economy and its carbon-mitigation effects: The case of China," Energy Economics, Elsevier, vol. 113(C).
    29. Wenxiang Peng & Yutao Lei & Xuan Zhang, 2023. "Analysis of China’s High-Carbon Manufacturing Industry’s Carbon Emissions in the Digital Process," Sustainability, MDPI, vol. 15(20), pages 1-35, October.
    30. Zhang, Zhouyi & Song, Yi & Cheng, Jinhua & Zhang, Yijun, 2023. "Effects of heterogeneous ICT on critical metal supply: A differentiated perspective on primary and secondary supply," Resources Policy, Elsevier, vol. 83(C).
    31. 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.
    32. Lin, Boqiang & Xu, Bin, 2021. "A non-parametric analysis of the driving factors of China's carbon prices," Energy Economics, Elsevier, vol. 104(C).
    33. Zhao, Haoran & Guo, Sen, 2023. "Analysis of the non-linear impact of digital economy development on energy intensity: Empirical research based on the PSTR model," Energy, Elsevier, vol. 282(C).
    34. Ai, Hongshan & Wang, Mengyuan & Zhang, Yue-Jun & Zhu, Tian-Tian, 2022. "How does air pollution affect urban innovation capability? Evidence from 281 cities in China," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 166-178.
    35. Wang, Jen Chun, 2022. "Understanding the energy consumption of information and communications equipment: A case study of schools in Taiwan," Energy, Elsevier, vol. 249(C).
    36. Khan, Yasir & Oubaih, Hana & Elgourrami, Fatima Zahra, 2022. "The effect of renewable energy sources on carbon dioxide emissions: Evaluating the role of governance, and ICT in Morocco," Renewable Energy, Elsevier, vol. 190(C), pages 752-763.
    37. Wadim Strielkowski & Olga Kovaleva & Tatiana Efimtseva, 2022. "Impacts of Digital Technologies for the Provision of Energy Market Services on the Safety of Residents and Consumers," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    38. Jie Zhou & Hanlin Lan & Cheng Zhao & Jianping Zhou, 2021. "Haze Pollution Levels, Spatial Spillover Influence, and Impacts of the Digital Economy: Empirical Evidence from China," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    39. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    40. Ellen Thio & MeiXuen Tan & Liang Li & Muhammad Salman & Xingle Long & Huaping Sun & Bangzhu Zhu, 2022. "The estimation of influencing factors for carbon emissions based on EKC hypothesis and STIRPAT model: Evidence from top 10 countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11226-11259, September.
    41. Recep Ulucak & Danish & Salah Ud‐Din Khan, 2020. "Does information and communication technology affect CO2 mitigation under the pathway of sustainable development during the mode of globalization?," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 857-867, July.
    42. Lin, Boqiang & Huang, Chenchen, 2023. "How will promoting the digital economy affect electricity intensity?," Energy Policy, Elsevier, vol. 173(C).
    43. Boqiang Lin & Qianxiang Zhang, 2023. "Corporate environmental responsibility in polluting firms: Does digital transformation matter?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(5), pages 2234-2246, September.
    44. Zhichuan Zhu & Bo Liu & Zhuoxi Yu & Jianhong Cao, 2022. "Effects of the Digital Economy on Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    45. 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.
    46. Wang, Jianda & Dong, Xiucheng & Dong, Kangyin, 2022. "How digital industries affect China's carbon emissions? Analysis of the direct and indirect structural effects," Technology in Society, Elsevier, vol. 68(C).
    47. Wei Zhen & Quande Qin & Lei Jiang, 2022. "Heterogeneous Domestic Intermediate Input-Related Carbon Emissions in China’s Exports," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 453-479, March.
    48. Alataş, Sedat, 2022. "Do environmental technologies help to reduce transport sector CO2 emissions? Evidence from the EU15 countries," Research in Transportation Economics, Elsevier, vol. 91(C).
    49. Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    50. Xuemei Jia & Qing Liu & Jiahao Feng & Yuru Li & Lijun Zhang, 2023. "The Induced Effects of Carbon Emissions for China’s Industry Digital Transformation," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    51. Niu, Meng & Wang, Zhenguo & Zhang, Yabin, 2022. "How information and communication technology drives (routine and non-routine) jobs: Structural path and decomposition analysis for China," Telecommunications Policy, Elsevier, vol. 46(1).
    52. Zhao Yang, 2023. "Can the Digitalization Reduce Carbon Emission Intensity?—The Moderating Effects of the Fiscal Decentralization," Sustainability, MDPI, vol. 15(11), pages 1-16, June.
    53. Xu, Xiaofeng & Wei, Zhifei & Ji, Qiang & Wang, Chenglong & Gao, Guowei, 2019. "Global renewable energy development: Influencing factors, trend predictions and countermeasures," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    54. Oliver Lange & Julian Plath & Timo F. Dziggel & David F. Karpa & Mattis Keil & Tom Becker & Wolf H. Rogowski, 2022. "A Transparency Checklist for Carbon Footprint Calculations Applied within a Systematic Review of Virtual Care Interventions," IJERPH, MDPI, vol. 19(12), pages 1-14, June.
    55. Zaili Zhen & Lixin Tian, 2020. "The impact of climate damage function on the social cost of carbon and economic growth rate," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1287-1304, October.
    56. Yingzi Chen & Wanwan Yang & Yaqi Hu, 2022. "Internet Development, Consumption Upgrading and Carbon Emissions—An Empirical Study from China," IJERPH, MDPI, vol. 20(1), pages 1-23, December.
    57. Huang, Yongming & Zhang, Yanan, 2023. "Digitalization, positioning in global value chain and carbon emissions embodied in exports: Evidence from global manufacturing production-based emissions," Ecological Economics, Elsevier, vol. 205(C).
    58. Balsalobre-Lorente, Daniel & Abbas, Jaffar & He, Chang & Pilař, Ladislav & Shah, Syed Ale Raza, 2023. "Tourism, urbanization and natural resources rents matter for environmental sustainability: The leading role of AI and ICT on sustainable development goals in the digital era," Resources Policy, Elsevier, vol. 82(C).
    59. Wen, Huwei & Wen, Changyong & Lee, Chien-Chiang, 2022. "Impact of digitalization and environmental regulation on total factor productivity," Information Economics and Policy, Elsevier, vol. 61(C).
    60. Kunkel, S. & Neuhäusler, P. & Matthess, M. & Dachrodt, M.F., 2023. "Industry 4.0 and energy in manufacturing sectors in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).

  20. Keyi Ju & Qunwei Wang & Lifan Liu & Dequn Zhou, 2019. "Measurement of the Price Distortion Degree for Exhaustible Energy Resources in China: A Discount Rate Perspective," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(12), pages 2718-2737, September.

    Cited by:

    1. 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).
    2. Xu, Mengmeng & Tan, Ruipeng, 2021. "Removing energy allocation distortion to increase economic output and energy efficiency in China," Energy Policy, Elsevier, vol. 150(C).
    3. Ru Sha & Tao Ge & Jinye Li, 2022. "How Energy Price Distortions Affect China’s Economic Growth and Carbon Emissions," Sustainability, MDPI, vol. 14(12), pages 1-27, June.
    4. Ekananda, Mahjus, 2022. "Role of macroeconomic determinants on the natural resource commodity prices: Indonesia futures volatility," Resources Policy, Elsevier, vol. 78(C).
    5. Zhang, Shangfeng & Chen, Congcong & Huang, Duen-Huang & Hu, Lang, 2022. "Measurement of factor price distortion: A new production function method with time-varying elasticity," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

  21. 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).

    Cited by:

    1. 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).
    2. Huang, Junbing & Xiang, Shiqi & Wang, Yajun & Chen, Xiang, 2021. "Energy-saving R&D and carbon intensity in China," Energy Economics, Elsevier, vol. 98(C).
    3. Li, Ding & Gao, Ming & Hou, Wenxuan & Song, Malin & Chen, Jiandong, 2020. "A modified and improved method to measure economy-wide carbon rebound effects based on the PDA-MMI approach," Energy Policy, Elsevier, vol. 147(C).
    4. Lingyun Mi & Yuhuan Sun & Lijie Qiao & Tianwen Jia & Yang Yang & Tao Lv, 2021. "Analysis of the Cause of Household Carbon Lock-In for Chinese Urban Households," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    5. 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.
    6. Yuan Kong & Chao Feng & Liyang Guo, 2022. "Peaking Global and G20 Countries’ CO 2 Emissions under the Shared Socio-Economic Pathways," IJERPH, MDPI, vol. 19(17), pages 1-19, September.
    7. Ai, Hongshan & Wang, Mengyuan & Zhang, Yue-Jun & Zhu, Tian-Tian, 2022. "How does air pollution affect urban innovation capability? Evidence from 281 cities in China," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 166-178.
    8. Rodrigues, João F.D. & Wang, Juan & Behrens, Paul & de Boer, Paul, 2020. "Drivers of CO2 emissions from electricity generation in the European Union 2000–2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    9. Shao, Shuai & Zhang, Yan & Tian, Zhihua & Li, Ding & Yang, Lili, 2020. "The regional Dutch disease effect within China: A spatial econometric investigation," Energy Economics, Elsevier, vol. 88(C).
    10. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    11. 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.
    12. Zhang, Yixiang & Zhou, Weiyi & Liu, Meiling, 2022. "Driving factors of enterprise energy-saving and emission reduction behaviors," Energy, Elsevier, vol. 256(C).
    13. 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).
    14. 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).
    15. 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).

  22. 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.

    Cited by:

    1. Xiaoyu Luo & Cong Ma & Jian Ge, 2020. "Evaluation Model and Strategy for Selecting Carbon Reduction Technology for Campus Buildings in Primary and Middle Schools in the Yangtze River Delta Region, China," Sustainability, MDPI, vol. 12(2), pages 1-16, January.
    2. Boqiang Lin & Siquan Wang, 2023. "Mechanism analysis of the influence of oil price uncertainty on strategic investment of renewable energy enterprises," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4176-4193, October.
    3. 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).
    4. Guoxian Cao & Chaoyang Guo & Hezhong Li, 2022. "Risk Analysis of Public–Private Partnership Waste-to-Energy Incineration Projects from the Perspective of Rural Revitalization," Sustainability, MDPI, vol. 14(13), pages 1-19, July.
    5. Jia, Zhijie & Lin, Boqiang, 2021. "How to achieve the first step of the carbon-neutrality 2060 target in China: The coal substitution perspective," Energy, Elsevier, vol. 233(C).
    6. 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.
    7. Shafiullah, Muhammad & Miah, Mohammad Dulal & Alam, Md Samsul & Atif, Muhammad, 2021. "Does economic policy uncertainty affect renewable energy consumption?," Renewable Energy, Elsevier, vol. 179(C), pages 1500-1521.
    8. 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).
    9. Ding, Song & Tao, Zui & Zhang, Huahan & Li, Yao, 2022. "Forecasting nuclear energy consumption in China and America: An optimized structure-adaptative grey model," Energy, Elsevier, vol. 239(PA).
    10. Feng Liu & Yihang Wei & Yu Du & Tao Lv, 2022. "Mechanism and Influencing Factors of Low-Carbon Coal Power Transition under China’s Carbon Trading Scheme: An Evolutionary Game Analysis," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    11. Casper Boongaling Agaton, 2022. "Will a Geopolitical Conflict Accelerate Energy Transition in Oil-Importing Countries? A Case Study of the Philippines from a Real Options Perspective," Resources, MDPI, vol. 11(6), pages 1-17, June.
    12. 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).
    13. Sun, Bo & Fan, Boyang & Zhang, Yifan & Xie, Jingdong, 2023. "Investment decisions and strategies of China's energy storage technology under policy uncertainty: A real options approach," Energy, Elsevier, vol. 278(PA).
    14. Tian, Jinfang & Yu, Longguang & Xue, Rui & Zhuang, Shan & Shan, Yuli, 2022. "Global low-carbon energy transition in the post-COVID-19 era," Applied Energy, Elsevier, vol. 307(C).
    15. Ding, Song & Li, Ruojin & Wu, Shu & Zhou, Weijie, 2021. "Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 298(C).
    16. 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).
    17. 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).
    18. Ang Yang & Xiangyu Meng & He He & Liang Wang & Jing Gao, 2022. "Towards Optimized ARMGs’ Low-Carbon Transition Investment Decision Based on Real Options," Energies, MDPI, vol. 15(14), pages 1-16, July.
    19. Feng Liu & Tao Lv & Yuan Meng & Xiaoran Hou & Jie Xu & Xu Deng, 2022. "Low-Carbon Transition Paths of Coal Power in China’s Provinces under the Context of the Carbon Trading Scheme," Sustainability, MDPI, vol. 14(15), pages 1-14, August.
    20. Yang, Chuxiao & Hao, Yu & Irfan, Muhammad, 2021. "Energy consumption structural adjustment and carbon neutrality in the post-COVID-19 era," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 442-453.
    21. Yi, Liqi & Li, Tao & Zhang, Ting, 2021. "Optimal investment selection of regional integrated energy system under multiple strategic objectives portfolio," Energy, Elsevier, vol. 218(C).
    22. Wang, Ying & Zhang, Dayong & Ji, Qiang & Shi, Xunpeng, 2020. "Regional renewable energy development in China: A multidimensional assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    23. Golub, Alexander A. & Lubowski, Ruben N. & Piris-Cabezas, Pedro, 2020. "Business responses to climate policy uncertainty: Theoretical analysis of a twin deferral strategy and the risk-adjusted price of carbon," Energy, Elsevier, vol. 205(C).
    24. 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).
    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. Xie, Li & Li, Zexin & Ye, Xiuhua & Jiang, Yanru, 2021. "Environmental regulation and energy investment structure: Empirical evidence from China's power industry," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    27. Fridgen, Gilbert & Halbrügge, Stephanie & Olenberger, Christian & Weibelzahl, Martin, 2020. "The insurance effect of renewable distributed energy resources against uncertain electricity price developments," Energy Economics, Elsevier, vol. 91(C).
    28. 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).
    29. 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.
    30. Martine Van den Boomen & Sjoerd Van der Meulen & Jonathan Van Ekris & Roel Spanjers & Olle Ten Voorde & Janwim Mulder & Peter Blommaart, 2021. "Optimized Expansion Strategy for a Hydrogen Pipe Network in the Port of Rotterdam with Compound Real Options Analysis," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    31. Houd Al-Obaidli & Rajesh Govindan & Tareq Al-Ansari, 2023. "Multidimensional Risk-Based Real Options Valuation for Low-Carbon Cogeneration Pathways," Energies, MDPI, vol. 16(3), pages 1-22, January.
    32. Song, Yazhi & Liu, Tiansen & Ye, Bin & Li, Yin, 2020. "Linking carbon market and electricity market for promoting the grid parity of photovoltaic electricity in China," Energy, Elsevier, vol. 211(C).
    33. Xu, Xiaofeng & Wei, Zhifei & Ji, Qiang & Wang, Chenglong & Gao, Guowei, 2019. "Global renewable energy development: Influencing factors, trend predictions and countermeasures," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    34. Liu, Wan-Yu & Chiang, Yi-Hua & Lin, Chun-Cheng, 2022. "Adopting renewable energies to meet the carbon reduction target: Is forest carbon sequestration cheaper?," Energy, Elsevier, vol. 246(C).
    35. 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).

  23. 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.

    Cited by:

    1. Junjie Wang & Yuan Li & Yi Zhang, 2022. "Research on Carbon Emissions of Road Traffic in Chengdu City Based on a LEAP Model," Sustainability, MDPI, vol. 14(9), pages 1-15, May.
    2. Vajjarapu, Harsha & Verma, Ashish, 2022. "Understanding the mitigation potential of sustainable urban transport measures across income and gender groups," Journal of Transport Geography, Elsevier, vol. 102(C).
    3. Chien‐Chiang Lee & Ying Yuan & Huwei Wen, 2022. "Can digital economy alleviate CO2 emissions in the transport sector? Evidence from provincial panel data in China," Natural Resources Forum, Blackwell Publishing, vol. 46(3), pages 289-310, August.
    4. Yu, Yang & Li, Shuangqi & Sun, Huaping & Taghizadeh-Hesary, Farhad, 2021. "Energy carbon emission reduction of China’s transportation sector: An input–output approach," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 378-393.
    5. 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).
    6. Xia, Yin-Shuang & Sun, Lu-Xuan & Feng, Chao, 2022. "What causes spatial inequalities of low-carbon development in China's transport sector? A newly proposed meta-frontier DEA-based decomposition approach," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    7. 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).
    8. Xiaodong Chen & Anda Guo & Jiahao Zhu & Fang Wang & Yanqiu He, 2022. "Accessing performance of transport sector considering risks of climate change and traffic accidents: joint bounded-adjusted measure and Luenberger decomposition," 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. 111(1), pages 115-138, March.
    9. Qiang Wang & Shasha Wang & Rongrong Li, 2019. "Determinants of Decoupling Economic Output from Carbon Emission in the Transport Sector: A Comparison Study of Four Municipalities in China," IJERPH, MDPI, vol. 16(19), pages 1-21, October.
    10. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    11. 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).
    12. Han Sun & Chao Huang & Shan Ni, 2022. "Driving factors of consumption-based PM2.5 emissions in China: an application of the generalized Divisia index," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 10209-10231, August.
    13. Ming Cao & Wei Kang & Qingren Cao & M. Jawad Sajid, 2020. "Estimating Chinese rural and urban residents’ carbon consumption and its drivers: considering capital formation as a productive input," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5443-5464, August.
    14. Yunfei An & Dequn Zhou & Qunwei Wang, 2022. "Carbon emission reduction potential and its influencing factors in China’s coal-fired power industry: a cost optimization and decomposition analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3619-3639, March.
    15. Sun, Ya-Fang & Zhang, Yue-Jun & Su, Bin, 2022. "How does global transport sector improve the emissions reduction performance? A demand-side analysis," Applied Energy, Elsevier, vol. 311(C).
    16. Xu, Jin-Hua & Guo, Jian-Feng & Peng, Binbin & Nie, Hongguang & Kemp, Rene, 2020. "Energy growth sources and future energy-saving potentials in passenger transportation sector in China," Energy, Elsevier, vol. 206(C).
    17. Rui Jiang & Peng Wu & Chengke Wu, 2022. "Driving Factors behind Energy-Related Carbon Emissions in the U.S. Road Transport Sector: A Decomposition Analysis," IJERPH, MDPI, vol. 19(4), pages 1-17, February.
    18. Sou, Weng Sut & Goh, Tian & Lee, Xin Ni & Ng, Szu Hui & Chai, Kah-Hin, 2022. "Reducing the carbon intensity of international shipping – The impact of energy efficiency measures," Energy Policy, Elsevier, vol. 170(C).
    19. Li, Rongrong & Han, Xinyu & Wang, Qiang, 2023. "Do technical differences lead to a widening gap in China's regional carbon emissions efficiency? Evidence from a combination of LMDI and PDA approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    20. 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).
    21. Zaili Zhen & Lixin Tian, 2020. "The impact of climate damage function on the social cost of carbon and economic growth rate," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1287-1304, October.
    22. Bu, Chujie & Cui, Xueqin & Li, Ruiyao & Li, Jin & Zhang, Yaxin & Wang, Can & Cai, Wenjia, 2021. "Achieving net-zero emissions in China’s passenger transport sector through regionally tailored mitigation strategies," Applied Energy, Elsevier, vol. 284(C).
    23. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).

  24. Neng Shen & Yuqing Zhao & Qunwei Wang, 2018. "Diversified Agglomeration, Specialized Agglomeration, and Emission Reduction Effect—A Nonlinear Test Based on Chinese City Data," Sustainability, MDPI, vol. 10(6), pages 1-22, June.

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    1. Zhang, Wenxi & Wang, Bo & Wang, Jian & Wu, Qun & Wei, Yehua Dennis, 2022. "How does industrial agglomeration affect urban land use efficiency? A spatial analysis of Chinese cities," Land Use Policy, Elsevier, vol. 119(C).
    2. Chang Zhao & Boya Zhou, 2021. "Impact of Express Delivery Industry’s Development on Transportation Sector’s Carbon Emissions: An Empirical Analysis from China," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    3. Batara Surya & Agus Salim & Hernita Hernita & Seri Suriani & Firman Menne & Emil Salim Rasyidi, 2021. "Land Use Change, Urban Agglomeration, and Urban Sprawl: A Sustainable Development Perspective of Makassar City, Indonesia," Land, MDPI, vol. 10(6), pages 1-31, May.
    4. Jiaoping Yang & Shujun Wang & Shan Sun & Jianhua Zhu, 2022. "Influence Mechanism of High-Tech Industrial Agglomeration on Green Innovation Performance: Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    5. Yu Pei & Yingming Zhu & Suxia Liu & Menglu Xie, 2021. "Industrial agglomeration and environmental pollution: based on the specialized and diversified agglomeration in the Yangtze River Delta," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4061-4085, March.
    6. Lu Zhang & Renyan Mu & Shuhua Hu & Quan Zhang & Song Wang, 2021. "Impacts of Manufacturing Specialized and Diversified Agglomeration on the Eco-Innovation Efficiency—A Nonlinear Test from Dynamic Perspective," Sustainability, MDPI, vol. 13(7), pages 1-27, March.
    7. Zhidong Liu & Yang Cai & Xiaojing Hao, 2020. "The Agglomeration of Manufacturing Industry, Innovation and Haze Pollution in China: Theory and Evidence," IJERPH, MDPI, vol. 17(5), pages 1-28, March.
    8. Dong Feng & Jian Li & Xintao Li & Zaisheng Zhang, 2019. "The Effects of Urban Sprawl and Industrial Agglomeration on Environmental Efficiency: Evidence from the Beijing–Tianjin–Hebei Urban Agglomeration," Sustainability, MDPI, vol. 11(11), pages 1-12, May.
    9. Changhui Hu & Weidong Liu & Yuqiu Jia & Yaya Jin, 2019. "Characterization of Territorial Spatial Agglomeration Based on POI Data: A Case Study of Ningbo City, China," Sustainability, MDPI, vol. 11(18), pages 1-16, September.

  25. 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.

    Cited by:

    1. 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).
    2. Junhong Qu & Xiaoli Hao, 2022. "Digital Economy, Financial Development, and Energy Poverty Based on Mediating Effects and a Spatial Autocorrelation Model," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    3. 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.
    4. Yi, Ming & Liu, Yafen & Sheng, Mingyue Selena & Wen, Le, 2022. "Effects of digital economy on carbon emission reduction: New evidence from China," Energy Policy, Elsevier, vol. 171(C).
    5. Tang, Zhipeng & Yu, Haojie & Zou, Jialing, 2022. "How does production substitution affect China's embodied carbon emissions in exports?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    6. 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).
    7. 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).
    8. Muhammad Haseeb & Sebastian Kot & Hafezali Iqbal Hussain & Leonardus WW Mihardjo & Piotr Saługa, 2020. "Modelling the Non-Linear Energy Intensity Effect Based on a Quantile-on-Quantile Approach: The Case of Textiles Manufacturing in Asian Countries," Energies, MDPI, vol. 13(9), pages 1-19, May.
    9. Lee, Chien-Chiang & He, Zhi-Wen & Xiao, Fu, 2022. "How does information and communication technology affect renewable energy technology innovation? International evidence," Renewable Energy, Elsevier, vol. 200(C), pages 546-557.
    10. Sun, Ya-Fang & Yu, Shiwei & Zhang, Yue-Jun & Su, Bin, 2023. "How do imports change the energy consumption of China? An analysis of its role in intermediate inputs and final demands," Energy, Elsevier, vol. 270(C).
    11. Zhang, Wei & Zhang, Ting & Li, Hangyu & Zhang, Han, 2022. "Dynamic spillover capacity of R&D and digital investments in China's manufacturing industry under long-term technological progress based on the industry chain perspective," Technology in Society, Elsevier, vol. 71(C).
    12. Wang, Linhui & Wang, Hui & Cao, Zhanglu & He, Yongda & Dong, Zhiqing & Wang, Shixiang, 2022. "Can industrial intellectualization reduce carbon emissions? — Empirical evidence from the perspective of carbon total factor productivity in China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    13. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial Intelligence and Energy Intensity in China’s Industrial Sector: Effect and Transmission Channel," MPRA Paper 106333, University Library of Munich, Germany.
    14. Zhou, Bo & Zhang, Cheng & Wang, Qunwei & Zhou, Dequn, 2020. "Does emission trading lead to carbon leakage in China? Direction and channel identifications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    15. Elheddad, Mohamed & Benjasak, Chonlakan & Deljavan, Rana & Alharthi, Majed & Almabrok, Jaballa M., 2021. "The effect of the Fourth Industrial Revolution on the environment: The relationship between electronic finance and pollution in OECD countries," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    16. Ke-Liang Wang & Rui-Rui Zhu & Yun-He Cheng, 2022. "Does the Development of Digital Finance Contribute to Haze Pollution Control? Evidence from China," Energies, MDPI, vol. 15(7), pages 1-21, April.
    17. Junjun Tang & Xing Zhao, 2023. "Does the new digital infrastructure improve total factor productivity?," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 895-916, October.
    18. Guoge Yang & Fengyi Wang & Feng Deng & Xianhong Xiang, 2023. "Impact of Digital Transformation on Enterprise Carbon Intensity: The Moderating Role of Digital Information Resources," IJERPH, MDPI, vol. 20(3), pages 1-26, January.
    19. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    20. Huifang E & Shuangjie Li & Liming Wang & Huidan Xue, 2023. "The Impact of ICT Capital Services on Economic Growth and Energy Efficiency in China," Energies, MDPI, vol. 16(9), pages 1-21, May.
    21. Hongyun Han & Shu Wu, 2018. "Structural Change and Its Impact on the Energy Intensity of Agricultural Sector in China," Sustainability, MDPI, vol. 10(12), pages 1-23, December.
    22. Huang, Junbing & Luan, Bingjiang & He, Wanrui & Chen, Xiang & Li, Mengfan, 2022. "Energy technology of conservation versus substitution and energy intensity in China," Energy, Elsevier, vol. 244(PA).
    23. Feng Wang & Yijie Jiang & Wulin Zhang & Fang Yang, 2019. "Elasticity of factor substitution and driving factors of energy intensity in China’s industry," Energy & Environment, , vol. 30(3), pages 385-407, May.
    24. 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.
    25. Román-Collado, Rocío & Ordoñez, Manuel & Mundaca, Luis, 2018. "Has electricity turned green or black in Chile? A structural decomposition analysis of energy consumption," Energy, Elsevier, vol. 162(C), pages 282-298.
    26. Lin, Boqiang & Zhu, Junpeng, 2021. "Impact of China's new-type urbanization on energy intensity: A city-level analysis," Energy Economics, Elsevier, vol. 99(C).
    27. Zhu, Junpeng & Lin, Boqiang, 2020. "Convergence analysis of city-level energy intensity in China," Energy Policy, Elsevier, vol. 139(C).
    28. Oseghale Baryl Ihayere & Philip Olasupo Alege & Obindah Gershon & Jeremiah Ogaga Ejemeyovwi & Praise Daramola, 2021. "Information Communication Technology Access and Use towards Energy Consumption in Selected Sub Saharan Africa," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 471-477.
    29. Hao Lv & Beibei Shi & Nan Li & Rong Kang, 2022. "Intelligent Manufacturing and Carbon Emissions Reduction: Evidence from the Use of Industrial Robots in China," IJERPH, MDPI, vol. 19(23), pages 1-20, November.
    30. Wang, Lei & Chen, Yangyang & Ramsey, Thomas Stephen & Hewings, Geoffrey J.D., 2021. "Will researching digital technology really empower green development?," Technology in Society, Elsevier, vol. 66(C).
    31. Zhang, Zhouyi & Song, Yi & Cheng, Jinhua & Zhang, Yijun, 2023. "Effects of heterogeneous ICT on critical metal supply: A differentiated perspective on primary and secondary supply," Resources Policy, Elsevier, vol. 83(C).
    32. 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.
    33. Yan, Junna & Li, Yingzhu & Su, Bin & Ng, Tsan Sheng, 2022. "Contributors and drivers of Chinese energy use and intensity from regional and demand perspectives, 2012-2015-2017," Energy Economics, Elsevier, vol. 115(C).
    34. Wu, Shu & Ding, Song, 2021. "Efficiency improvement, structural change, and energy intensity reduction: Evidence from Chinese agricultural sector," Energy Economics, Elsevier, vol. 99(C).
    35. Wang, Jen Chun, 2022. "Understanding the energy consumption of information and communications equipment: A case study of schools in Taiwan," Energy, Elsevier, vol. 249(C).
    36. Zakia Batool & Sajjad Ali & Abdul Rehman, 2022. "Environmental Impact of ICT on Disaggregated Energy Consumption in China: A Threshold Regression Analysis," Sustainability, MDPI, vol. 14(23), pages 1-17, November.
    37. Zhang, Chi & Su, Bin & Zhou, Kaile & Sun, Yuan, 2020. "A multi-dimensional analysis on microeconomic factors of China's industrial energy intensity (2000–2017)," Energy Policy, Elsevier, vol. 147(C).
    38. Xu, Qiong & Zhong, Meirui & Li, Xin, 2022. "How does digitalization affect energy? International evidence," Energy Economics, Elsevier, vol. 107(C).
    39. Su, Bin & Ang, B.W. & Li, Yingzhu, 2019. "Structural path and decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 83(C), pages 345-360.
    40. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    41. Lin, Boqiang & Huang, Chenchen, 2023. "Nonlinear relationship between digitization and energy efficiency: Evidence from transnational panel data," Energy, Elsevier, vol. 276(C).
    42. 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).
    43. Ahmadova, Gozal & Delgado-Márquez, Blanca L. & Pedauga, Luis E. & Leyva-de la Hiz, Dante I., 2022. "Too good to be true: The inverted U-shaped relationship between home-country digitalization and environmental performance," Ecological Economics, Elsevier, vol. 196(C).
    44. Rafael Alvarado & Cristian Ortiz & Lizeth Cuesta & Brayan Tillaguango, 2023. "Spillovers impact of institutional and economic factors in energy intensity," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1805-1823, June.
    45. Yunlong Zhao & Linwei Ma & Zheng Li & Weidou Ni, 2022. "A Calculation and Decomposition Method Embedding Sectoral Energy Structure for Embodied Carbon: A Case Study of China’s 28 Sectors," Sustainability, MDPI, vol. 14(5), pages 1-29, February.
    46. 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.
    47. Gao, Da & Li, Ge & Yu, Jiyu, 2022. "Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities," Energy, Elsevier, vol. 247(C).
    48. 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.
    49. Zhipeng Tang & Shuang Wu & Jialing Zou, 2020. "Consumption substitution and change of household indirect energy consumption in China between 1997 and 2012," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-19, August.
    50. Wang, Jianda & Dong, Xiucheng & Dong, Kangyin, 2022. "How digital industries affect China's carbon emissions? Analysis of the direct and indirect structural effects," Technology in Society, Elsevier, vol. 68(C).
    51. Chao Bi & Minna Jia & Jingjing Zeng, 2019. "Nonlinear Effect of Public Infrastructure on Energy Intensity in China: A Panel Smooth Transition Regression Approach," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
    52. Rui Jiang & Rongrong Li & Qiuhong Wu, 2019. "Investigation for the Decomposition of Carbon Emissions in the USA with C-D Function and LMDI Methods," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
    53. Wang, Huaizhi & Ruan, Jiaqi & Ma, Zhengwei & Zhou, Bin & Fu, Xueqian & Cao, Guangzhong, 2019. "Deep learning aided interval state prediction for improving cyber security in energy internet," Energy, Elsevier, vol. 174(C), pages 1292-1304.
    54. 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).
    55. 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.
    56. Qianqian Wan & Daqian Shi, 2022. "Smarter and Cleaner: The Digital Economy and Environmental Pollution," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(6), pages 59-85, November.
    57. Zhang, Xiaomei & Su, Bin & Yang, Jun & Cong, Jianhui, 2022. "Analysis of Shanxi Province's energy consumption and intensity using input-output framework (2002–2017)," Energy, Elsevier, vol. 250(C).
    58. Guang, Fengtao & He, Yongxiu & Wen, Le & Sharp, Basil, 2019. "Energy intensity and its differences across China’s regions: Combining econometric and decomposition analysis," Energy, Elsevier, vol. 180(C), pages 989-1000.
    59. Hao, Yu & Li, Ying & Guo, Yunxia & Chai, Jingxia & Yang, Chuxiao & Wu, Haitao, 2022. "Digitalization and electricity consumption: Does internet development contribute to the reduction in electricity intensity in China?," Energy Policy, Elsevier, vol. 164(C).
    60. Kunkel, S. & Neuhäusler, P. & Matthess, M. & Dachrodt, M.F., 2023. "Industry 4.0 and energy in manufacturing sectors in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    61. Huang, He & Hong, Jingke & Wang, Xianzhu & Chang-Richards, Alice & Zhang, Jingxiao & Qiao, Bei, 2022. "A spatiotemporal analysis of the driving forces behind the energy interactions of the Chinese economy: Evidence from static and dynamic perspectives," Energy, Elsevier, vol. 239(PB).

  26. 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. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. Huang, Junbing & Xiang, Shiqi & Wang, Yajun & Chen, Xiang, 2021. "Energy-saving R&D and carbon intensity in China," Energy Economics, Elsevier, vol. 98(C).
    7. 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).
    8. 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).
    9. 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).
    10. Zhou, Xun & Kuosmanen, Timo, 2020. "What drives decarbonization of new passenger cars?," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1043-1057.
    11. 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).
    12. 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).
    13. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Meng, Bo, 2021. "Attribution of changes in an intensity index," Energy, Elsevier, vol. 216(C).
    14. 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).
    15. 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).
    16. Su, Bin & Ang, B.W., 2020. "Demand contributors and driving factors of Singapore’s aggregate carbon intensities," Energy Policy, Elsevier, vol. 146(C).
    17. 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).
    18. 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).
    19. 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).
    20. 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.
    21. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    22. 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).
    23. 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).
    24. 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.
    25. Lin, Boqiang & Xu, Bin, 2021. "A non-parametric analysis of the driving factors of China's carbon prices," Energy Economics, Elsevier, vol. 104(C).
    26. 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.
    27. 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.
    28. Huang, Rui & Lv, Guonian, 2021. "The climate economic effect of technology spillover," Energy Policy, Elsevier, vol. 159(C).
    29. 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.
    30. 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.
    31. 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).
    32. 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.
    33. 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.
    34. 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.
    35. 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).
    36. 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.
    37. 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).
    38. 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).
    39. 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.
    40. 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.
    41. 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.
    42. 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).
    43. Zhou, Dequn & Chong, Zhaotian & Wang, Qunwei, 2020. "What is the future policy for photovoltaic power applications in China? Lessons from the past," Resources Policy, Elsevier, vol. 65(C).
    44. 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.
    45. 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.
    46. 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.
    47. 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.
    48. 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.
    49. 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.
    50. 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.
    51. 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).
    52. 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).
    53. 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.
    54. 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).
    55. 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.
    56. 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.
    57. Singpai, Bodin & Wu, Desheng Dash, 2021. "An integrative approach for evaluating the environmental economic efficiency," Energy, Elsevier, vol. 215(PB).
    58. 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).
    59. 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.
    60. 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).
    61. 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.
    62. 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.
    63. 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).
    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.

  27. 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.

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    1. 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.
    2. Mi, Lingyun & Xu, Ting & Sun, Yuhuan & Yang, Hang & Wang, Bangjun & Gan, Xiaoli & Qiao, Lijie, 2021. "Promoting differentiated energy savings: Analysis of the psychological motivation of households with different energy consumption levels," Energy, Elsevier, vol. 218(C).
    3. Gao, Xingyu & Tian, Lixin, 2019. "Effects of awareness and policy on green behavior spreading in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 226-234.

  28. 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.

    Cited by:

    1. 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.
    2. 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.
    3. Chen, Yingwen & Wong, Christina W.Y. & Yang, Rui & Miao, Xin, 2021. "Optimal structure adjustment strategy, emission reduction potential and utilization efficiency of fossil energies in China," Energy, Elsevier, vol. 237(C).
    4. 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).
    5. David Fang & Ming‐Ching Hsueh & Ching‐Ren Chiu, 2020. "An investigation of international hotel productivity considering quasifixed inputs and negative outputs," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 380-388, April.
    6. 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.
    7. 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).
    8. 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.
    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. Xingle Long & Chuanwang Sun & Chao Wu & Bin Chen & Kofi Agyenim Boateng, 2020. "Green innovation efficiency across China’s 30 provinces: estimate, comparison, and convergence," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1243-1260, October.
    11. Yusi Cheng & Xuejie Bai & Yung‐Ho Chiu, 2023. "Performance evaluation for health‐care sectors using a dynamic network data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2237-2253, June.
    12. Wang, Ying & Zhang, Dayong & Ji, Qiang & Shi, Xunpeng, 2020. "Regional renewable energy development in China: A multidimensional assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    13. 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.
    14. Yu, Ming-Miin & Rakshit, Ipsita, 2023. "Assessing the dynamic efficiency and technology gap of airports under different ownerships: A union dynamic NDEA approach," Omega, Elsevier, vol. 119(C).
    15. Arora, Nitin & Talwar, Shubhendra Jit, 2020. "Modelling efficiency in budget allocations for Indian states using window based non-radial non-concave metafrontier data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    16. 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).

  29. Zhou, Dequn & Zhou, Xiaoyong & Xu, Qing & Wu, Fei & Wang, Qunwei & Zha, Donglan, 2018. "Regional embodied carbon emissions and their transfer characteristics in China," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 180-193.

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    1. Li, Xiaoyu & Zeng, Zhao & Zhang, Zengkai & Yao, Ye & Du, Huibin, 2023. "The rising North-South carbon flows within China from 2012 to 2017," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 263-272.
    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. Hehua Zhao & Hongwen Chen & Ying Fang & Apei Song, 2022. "Transfer Characteristics of Embodied Carbon Emissions in Export Trade—Evidence from China," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    4. Hehua Zhao & Hongwen Chen & Lei He, 2022. "Embodied Carbon Emissions and Regional Transfer Characteristics—Evidence from China," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    5. 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).
    6. Hao Chen & Erdan Wang & Nuo Wang & Tao Song, 2023. "Research on Embodied Carbon Transfer Measurement and Carbon Compensation among Regions in China," IJERPH, MDPI, vol. 20(3), pages 1-20, February.
    7. 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).
    8. Zhou, Bo & Zhang, Cheng & Wang, Qunwei & Zhou, Dequn, 2020. "Does emission trading lead to carbon leakage in China? Direction and channel identifications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    9. Tianrui Wang & Yu Chen & Leya Zeng, 2022. "Spatial-Temporal Evolution Analysis of Carbon Emissions Embodied in Inter-Provincial Trade in China," IJERPH, MDPI, vol. 19(11), pages 1-26, June.
    10. 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.
    11. Yuzhuo Huang & Ken’ichi Matsumoto, 2022. "Estimation of CO 2 Emissions Embodied in Domestic Trade and Their Influencing Factors in Japan," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    12. Zhijian Chen & Li Zhang & Yujie Zhang & Yun Zhao & Zhangqi Zhong, 2022. "Regional Differences in the Emission-Reduction Effect of Environmental Regulation Based on the Perspective of Embodied Carbon Spatial Transfer Formed by Inter-Regional Trade," Sustainability, MDPI, vol. 14(15), pages 1-15, August.
    13. 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.
    14. Wenxiang Peng & Yutao Lei & Xuan Zhang, 2023. "Analysis of China’s High-Carbon Manufacturing Industry’s Carbon Emissions in the Digital Process," Sustainability, MDPI, vol. 15(20), pages 1-35, October.
    15. 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.
    16. Kehan He & Zhifu Mi & Long Chen & D'Maris Coffman & Sai Liang, 2021. "Critical transmission sectors in embodied atmospheric mercury emission network in China," Journal of Industrial Ecology, Yale University, vol. 25(6), pages 1644-1656, December.
    17. Tian, Kailan & Dietzenbacher, Erik & Yan, Bingqian & Duan, Yuwan, 2020. "Upgrading or downgrading: China's regional carbon emission intensity evolution and its determinants," Energy Economics, Elsevier, vol. 91(C).
    18. 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.
    19. Lin, Boqiang & Wang, Chonghao, 2023. "Does industrial relocation affect regional carbon intensity? Evidence from China's secondary industry," Energy Policy, Elsevier, vol. 173(C).
    20. Yu, Miao & Zhao, Xintong & Gao, Yuning, 2019. "Factor decomposition of China’s industrial electricity consumption using structural decomposition analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 67-76.
    21. Zhixiong Wang & Fuhan Li & Zihan Xie & Qingyin Li & Yongli Zhang & Meilin Dai, 2023. "Decoupling CO 2 Emissions from Economic Growth in China’s Cities from 2000 to 2020: A Case Study of the Pearl River Delta Agglomeration," Land, MDPI, vol. 12(9), pages 1-14, September.
    22. Xu, Duo & Liu, Gengyuan & Meng, Fanxin & Yan, Ningyu & Li, Hui & Agostinho, Feni & Almeida, Cecilia MVB & Giannetti, Biagio F, 2023. "Sector aggregation effect on embodied carbon emission based on city-centric global multi-region input-output (CCG-MRIO) model," Ecological Modelling, Elsevier, vol. 484(C).
    23. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    24. Aishuang Zhou & Jinsheng Zhou & Jingjian Si & Guoyu Wang, 2023. "Study on Embodied CO 2 Emissions and Transfer Pathways of Chinese Industries," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    25. Yu, Miao & Meng, Bo & Li, Rong, 2022. "Analysis of China's urban household indirect carbon emissions drivers under the background of population aging," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 114-125.
    26. Yue Liu & Ying Qu & Zhen Lei & Wenhua Wang, 2020. "Multi-sector reduction potential of embodied carbon emissions in China: a case study of Liaoning province," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5585-5602, August.
    27. Quan Guo & Zijing Liang & Xiang Bai & Mengnan Lv & Anying Zhang, 2022. "The Analysis of Carbon Emission’s Characteristics and Dynamic Evolution Based on the Strategy of Unbalanced Regional Economic Development in China," Sustainability, MDPI, vol. 14(14), pages 1-31, July.
    28. Cottafava, Dario & Gastaldo, Michele & Quatraro, Francesco & Santhiá, Cristina, 2022. "Modeling economic losses and greenhouse gas emissions reduction during the COVID-19 pandemic: Past, present, and future scenarios for Italy," Economic Modelling, Elsevier, vol. 110(C).
    29. Shichun Xu & Chang Gao & Yunfan Li & Xiaoxue Ma & Yifeng Zhou & Zhengxia He & Bin Zhao & Shuxiao Wang, 2019. "What Influences the Cross-Border Air Pollutant Transfer in China–United States Trade: A Comparative Analysis Using the Extended IO-SDA Method," Sustainability, MDPI, vol. 11(22), pages 1-21, November.

  30. 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.

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    1. 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.
    2. Han, Yongming & Liu, Shuang & Cong, Di & Geng, Zhiqiang & Fan, Jinzhen & Gao, Jingyang & Pan, Tingrui, 2021. "Resource optimization model using novel extreme learning machine with t-distributed stochastic neighbor embedding: Application to complex industrial processes," Energy, Elsevier, vol. 225(C).
    3. 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.
    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. 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.
    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.

  31. 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.

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    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    10. 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).
    11. 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.
    12. 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.
    13. 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).
    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. 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).
    16. 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.
    17. 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).
    18. 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.
    19. 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.
    20. 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.
    21. 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).
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    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).

  32. 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. 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.
    2. 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).
    3. 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).
    4. 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.
    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. 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).
    7. 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.
    8. 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.
    9. 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.
    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. 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.
    12. 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).
    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. 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. 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.
    16. 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).
    17. 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).
    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.

  33. 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. 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.
    2. 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).
    3. 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).
    4. Huang, Beijia & Zhang, Long & Ma, Linmao & Bai, Wuliyasu & Ren, Jingzheng, 2021. "Multi-criteria decision analysis of China’s energy security from 2008 to 2017 based on Fuzzy BWM-DEA-AR model and Malmquist Productivity Index," Energy, Elsevier, vol. 228(C).
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    10. 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.
    11. 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.
    12. Tzu-Yu Lin & Sheng-Hsiung Chiu, 2018. "Sustainable Performance of Low-Carbon Energy Infrastructure Investment on Regional Development: Evidence from China," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    13. 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).
    14. Hongzhang Chen & Haiwen Yang, 2020. "Measurement and Structural Factors Influencing China’s Provincial Total-Factor Energy Efficiency Under Resource and Environmental Constraints," SAGE Open, , vol. 10(3), pages 21582440209, July.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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).
    21. 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.
    22. 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.
    23. Takayabu, Hirotaka, 2020. "CO2 mitigation potentials in manufacturing sectors of 26 countries," Energy Economics, Elsevier, vol. 86(C).

  34. Sun, Licheng & Wang, Qunwei & Zhang, Jijian, 2017. "Inter-industrial Carbon Emission Transfers in China: Economic Effect and Optimization Strategy," Ecological Economics, Elsevier, vol. 132(C), pages 55-62.

    Cited by:

    1. Li, Xiaoyu & Zeng, Zhao & Zhang, Zengkai & Yao, Ye & Du, Huibin, 2023. "The rising North-South carbon flows within China from 2012 to 2017," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 263-272.
    2. Wang, Xiaojun & Chen, Yiping & Chen, Jingjing & Mao, Bingjing & Peng, Lihong & Yu, Ang, 2022. "China's CO2 regional synergistic emission reduction: Killing two birds with one stone?," Energy Policy, Elsevier, vol. 168(C).
    3. 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).
    4. Chunli Jin & Qiaoqiao Zhu & Hui Sun, 2023. "Temporal and Spatial Divergence of Embodied Carbon Emissions Transfer and the Drivers—Evidence from China’s Domestic Trade," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    5. Guangxiong Mao & Wei Jin & Ying Zhu & Yanjun Mao & Wei-Ling Hsu & Hsin-Lung Liu, 2021. "Environmental Pollution Effects of Regional Industrial Transfer Illustrated with Jiangsu, China," Sustainability, MDPI, vol. 13(21), pages 1-19, November.
    6. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Peak of CO2 emissions in various sectors and provinces of China: Recent progress and avenues for further research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 813-833.
    7. Lai, Aolin & Wang, Qunwei & Cui, Lianbiao, 2022. "Can market segmentation lead to green paradox? Evidence from China," Energy, Elsevier, vol. 254(PC).
    8. Zhou, Bo & Zhang, Cheng & Wang, Qunwei & Zhou, Dequn, 2020. "Does emission trading lead to carbon leakage in China? Direction and channel identifications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    9. 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).
    10. Zeng, Qing & Ma, Feng & Lu, Xinjie & Xu, Weiju, 2022. "Policy uncertainty and carbon neutrality: Evidence from China," Finance Research Letters, Elsevier, vol. 47(PB).
    11. 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.
    12. 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).
    13. 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.
    14. Zhou, Dequn & Zhou, Xiaoyong & Xu, Qing & Wu, Fei & Wang, Qunwei & Zha, Donglan, 2018. "Regional embodied carbon emissions and their transfer characteristics in China," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 180-193.
    15. Lin, Boqiang & Teng, Yuqiang, 2022. "Structural path and decomposition analysis of sectoral carbon emission changes in China," Energy, Elsevier, vol. 261(PB).
    16. Wei Zhen & Quande Qin & Lei Jiang, 2022. "Heterogeneous Domestic Intermediate Input-Related Carbon Emissions in China’s Exports," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 453-479, March.

  35. 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.

    Cited by:

    1. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. 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).
    7. 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).
    8. Cheng, Zhonghua & Jin, Wei, 2022. "Agglomeration economy and the growth of green total-factor productivity in Chinese Industry," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    9. Cheng, Zhonghua & Li, Xiang & Wang, Meixiao, 2021. "Resource curse and green economic growth," Resources Policy, Elsevier, vol. 74(C).
    10. 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).
    11. Molinos-Senante, María & Sala-Garrido, Ramón, 2018. "Evaluation of energy performance of drinking water treatment plants: Use of energy intensity and energy efficiency metrics," Applied Energy, Elsevier, vol. 229(C), pages 1095-1102.
    12. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
    13. Xiao-Ning Li & Ying Feng & Pei-Ying Wu & Yung-Ho Chiu, 2021. "An Analysis of Environmental Efficiency and Environmental Pollution Treatment Efficiency in China’s Industrial Sector," Sustainability, MDPI, vol. 13(5), pages 1-25, February.
    14. 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.

  36. 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. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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).
    8. Tanrıverdi, Gökhan & Merkert, Rico & Karamaşa, Çağlar & Asker, Veysi, 2023. "Using multi-criteria performance measurement models to evaluate the financial, operational and environmental sustainability of airlines," Journal of Air Transport Management, Elsevier, vol. 112(C).
    9. 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).
    10. Shuai Zhang & Xiaoman Zhao & Changwei Yuan & Xiu Wang, 2020. "Technological Bias and Its Influencing Factors in Sustainable Development of China’s Transportation," Sustainability, MDPI, vol. 12(14), pages 1-26, July.
    11. 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).
    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).

  37. 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.

    Cited by:

    1. 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.
    2. 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.
    3. 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).
    4. Feng Wang & Yijie Jiang & Wulin Zhang & Fang Yang, 2019. "Elasticity of factor substitution and driving factors of energy intensity in China’s industry," Energy & Environment, , vol. 30(3), pages 385-407, May.
    5. Yu, Shiwei & Zheng, Yali & Li, Longxi, 2019. "A comprehensive evaluation of the development and utilization of China's regional renewable energy," Energy Policy, Elsevier, vol. 127(C), pages 73-86.
    6. Ur Rehman, Faheem & Islam, Md. Monirul, 2023. "Does energy infrastructure spur total factor productivity (TFP) in middle-income economies? An application of a novel energy infrastructure index," Applied Energy, Elsevier, vol. 336(C).
    7. 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.
    8. Zhong, Sheng, 2018. "Structural decompositions of energy consumption between 1995 and 2009: Evidence from WIOD," Energy Policy, Elsevier, vol. 122(C), pages 655-667.
    9. Jiang, Rui & Wu, Peng & Song, Yongze & Wu, Chengke & Wang, Peng & Zhong, Yun, 2022. "Factors influencing the adoption of renewable energy in the U.S. residential sector: An optimal parameters-based geographical detector approach," Renewable Energy, Elsevier, vol. 201(P1), pages 450-461.
    10. 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.
    11. 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.
    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. 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. Mingyue Wang & Yu Liu & Yawen Liu & Shunxiang Yang & Lingyu Yang, 2018. "Assessing Multiple Pathways for Achieving China’s National Emissions Reduction Target," Sustainability, MDPI, vol. 10(7), pages 1-16, June.
    15. Safarzadeh, Soroush & Rasti-Barzoki, Morteza, 2019. "A game theoretic approach for pricing policies in a duopolistic supply chain considering energy productivity, industrial rebound effect, and government policies," Energy, Elsevier, vol. 167(C), pages 92-105.
    16. 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).
    17. 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.
    18. 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.
    19. Xu, Xiaofeng & Wei, Zhifei & Ji, Qiang & Wang, Chenglong & Gao, Guowei, 2019. "Global renewable energy development: Influencing factors, trend predictions and countermeasures," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    20. Guangming Rao & Bin Su & Jinlian Li & Yong Wang & Yanhua Zhou & Zhaolin Wang, 2019. "Carbon Sequestration Total Factor Productivity Growth and Decomposition: A Case of the Yangtze River Economic Belt of China," Sustainability, MDPI, vol. 11(23), pages 1-28, November.

  38. Liu, Tiantian & Wang, Qunwei & Su, Bin, 2016. "A review of carbon labeling: Standards, implementation, and impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 68-79.

    Cited by:

    1. Rui Zhao & Dingye Wu & Sebastiano Patti, 2020. "A Bibliometric Analysis of Carbon Labeling Schemes in the Period 2007–2019," Energies, MDPI, vol. 13(16), pages 1-16, August.
    2. Faure, Corinne & Guetlein, Marie-Charlotte & Schleich, Joachim, 2021. "Effects of rescaling the EU energy label on household preferences for top-rated appliances," Energy Policy, Elsevier, vol. 156(C).
    3. Su-Hyun Cho & Chang-U Chae, 2016. "A Study on Life Cycle CO 2 Emissions of Low-Carbon Building in South Korea," Sustainability, MDPI, vol. 8(6), pages 1-19, June.
    4. 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).
    5. Lin, Jianyi & Hu, Yuanchao & Zhao, Xiaofeng & Shi, Longyu & Kang, Jiefeng, 2017. "Developing a city-centric global multiregional input-output model (CCG-MRIO) to evaluate urban carbon footprints," Energy Policy, Elsevier, vol. 108(C), pages 460-466.
    6. Grebitus, Carola & Steiner, Bodo & Veeman, Michele M., 2016. "Paying for sustainability: A cross-cultural analysis of consumers’ valuations of food and non-food products labeled for carbon and water footprints," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 63(C), pages 50-58.
    7. Finnegan, Stephen & Sharples, Steve & Johnston, Tom & Fulton, Matt, 2018. "The carbon impact of a UK safari park – Application of the GHG protocol using measured energy data," Energy, Elsevier, vol. 153(C), pages 256-264.
    8. Isabel Carrero & Carmen Valor & Estela Díaz & Victoria Labajo, 2021. "Designed to Be Noticed: A Reconceptualization of Carbon Food Labels as Warning Labels," Sustainability, MDPI, vol. 13(3), pages 1-14, February.
    9. Li, Wenbo & Long, Ruyin & Chen, Hong & Geng, Jichao, 2017. "A review of factors influencing consumer intentions to adopt battery electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 318-328.
    10. 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.
    11. Dominic Lemken & Anke Zühlsdorf & Achim Spiller, 2021. "Improving Consumers’ Understanding and Use of Carbon Footprint Labels on Food: Proposal for a Climate Score Label," EuroChoices, The Agricultural Economics Society, vol. 20(2), pages 23-29, August.
    12. Roh, Seungjun & Tae, Sungho, 2017. "An integrated assessment system for managing life cycle CO2 emissions of a building," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 265-275.
    13. Yonghong Cheng & Hui Sun & Fu Jia & Lenny Koh, 2018. "Pricing and Low-Carbon Investment Decisions in an Emission Dependent Supply Chain under a Carbon Labelling Scheme," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
    14. 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.
    15. Zhang, Hongwu & Shi, Xunpeng & Cheong, Tsun Se & Wang, Keying, 2020. "Convergence of carbon emissions at the household level in China: A distribution dynamics approach," Energy Economics, Elsevier, vol. 92(C).
    16. Ming Cao & Wei Kang & Qingren Cao & M. Jawad Sajid, 2020. "Estimating Chinese rural and urban residents’ carbon consumption and its drivers: considering capital formation as a productive input," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5443-5464, August.
    17. Fenner, Andriel Evandro & Kibert, Charles Joseph & Woo, Junghoon & Morque, Shirley & Razkenari, Mohamad & Hakim, Hamed & Lu, Xiaoshu, 2018. "The carbon footprint of buildings: A review of methodologies and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 1142-1152.
    18. Zhimiao Tao, 2019. "Two-Stage Supply-Chain Optimization Considering Consumer Low-Carbon Awareness under Cap-and-Trade Regulation," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    19. Kim, Rakhyun & Tae, Sungho & Roh, Seungjun, 2017. "Development of low carbon durability design for green apartment buildings in South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 263-272.
    20. Edenbrandt, Anna Kristina & Lagerkvist, Carl Johan & Nordström, Jonas, 2021. "Interested, indifferent or active information avoiders of carbon labels: Cognitive dissonance and ascription of responsibility as motivating factors," Food Policy, Elsevier, vol. 101(C).
    21. Alessio Cimini, 2021. "Evolution of the Global Scientific Research on the Environmental Impact of Food Production from 1970 to 2020," Sustainability, MDPI, vol. 13(21), pages 1-22, October.
    22. Olsthoorn, Mark & Schleich, Joachim & Guetlein, Marie-Charlotte & Durand, Antoine & Faure, Corinne, 2023. "Beyond energy efficiency: Do consumers care about life-cycle properties of household appliances?," Energy Policy, Elsevier, vol. 174(C).
    23. Ta-Ching Liang & Rospita Odorlina P. Situmorang & Mei-Chi Liao & Shu-Chun Chang, 2020. "The Relationship of Perceived Consumer Effectiveness, Subjective Knowledge, and Purchase Intention on Carbon Label Products—A Case Study of Carbon-Labeled Packaged Tea Products in Taiwan," Sustainability, MDPI, vol. 12(19), pages 1-12, September.

  39. 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.

    Cited by:

    1. Xiangjun Chen & Bo Yan, 2024. "Research on jumps and volatility in China’s carbon market," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-43, February.
    2. Yidan Chen & Jiang Lin & David Roland-Holst & Xu Liu & Can Wang, 2023. "Declining Renewable Costs, Emissions Trading, and Economic Growth: China’s Power System at the Crossroads," Energies, MDPI, vol. 16(2), pages 1-14, January.
    3. Zhu, Bangzhu & Zhang, Mengfan & Huang, Liqing & Wang, Ping & Su, Bin & Wei, Yi-Ming, 2020. "Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach," Energy Economics, Elsevier, vol. 85(C).
    4. Ling Wang & Zhiying Chen & Zheheng Huang, 2022. "Research on the Effects and Mechanism of Carbon Emission Trading on the Development of Green Economy in China," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    5. 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.
    6. Xiaokang Yang & Junbing Xu & Minling Zhu & Yinglong Yang, 2022. "Environmental regulation and corporate tax avoidance—Evidence from China," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-12, January.
    7. Chia-Lin Chang & Michael McAleer & Te-Ke Mai, 2018. "Establishing National Carbon Emission Prices for China," Documentos de Trabajo del ICAE 2018-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    8. Hong, Zitao & Peng, Zhen & Zhang, Liumei, 2022. "Game analysis on the choice of emission trading among industrial enterprises driven by data," Energy, Elsevier, vol. 239(PE).
    9. Liang Shen & Xiaodi Wang & Qinqin Liu & Yuyan Wang & Lingxue Lv & Rongyun Tang, 2021. "Carbon Trading Mechanism, Low-Carbon E-Commerce Supply Chain and Sustainable Development," Mathematics, MDPI, vol. 9(15), pages 1-26, July.
    10. 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.
    11. Huang, Yi & Yi, Qun & Kang, Jing-Xian & Zhang, Ya-Gang & Li, Wen-Ying & Feng, Jie & Xie, Ke-Chang, 2019. "Investigation and optimization analysis on deployment of China coal chemical industry under carbon emission constraints," Applied Energy, Elsevier, vol. 254(C).
    12. Ruiqi Wang & Huanchen Tang & Xin Ma, 2022. "Can Carbon Emission Trading Policy Reduce PM2.5? Evidence from Hubei, China," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    13. Lin, Boqiang & Jia, Zhijie, 2017. "The impact of Emission Trading Scheme (ETS) and the choice of coverage industry in ETS: A case study in China," Applied Energy, Elsevier, vol. 205(C), pages 1512-1527.
    14. Mai, Te-Ke & Foley, Aoife M. & McAleer, Michael & Chang, Chia-Lin, 2022. "Impact of COVID-19 on returns-volatility spillovers in national and regional carbon markets in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    15. Zhou, Bo & Zhang, Cheng & Wang, Qunwei & Zhou, Dequn, 2020. "Does emission trading lead to carbon leakage in China? Direction and channel identifications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    16. Tao Ding & Zhixiang Zhou & Qianzhi Dai & Liang Liang, 2020. "Analysis of China’s Regional Economic Environmental Performance: A Non-radial Multi-objective DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1209-1231, April.
    17. 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.
    18. Yue Dai & Nan Li & Rongrong Gu & Xiaodong Zhu, 2018. "Can China’s Carbon Emissions Trading Rights Mechanism Transform its Manufacturing Industry? Based on the Perspective of Enterprise Behavior," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    19. 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).
    20. Li Chen & Di Wang & Ruyi Shi, 2022. "Can China’s Carbon Emissions Trading System Achieve the Synergistic Effect of Carbon Reduction and Pollution Control?," IJERPH, MDPI, vol. 19(15), pages 1-21, July.
    21. Gao, Hongjun & Cai, Wenhui & He, Shuaijia & Liu, Chang & Liu, Junyong, 2023. "Stackelberg game based energy sharing for zero-carbon community considering reward and punishment of carbon emission," Energy, Elsevier, vol. 277(C).
    22. Pöstges, Arne & Bucksteeg, Michael & Ruhnau, Oliver & Böttger, Diana & Haller, Markus & Künle, Eglantine & Ritter, David & Schmitz, Richard & Wiedmann, Michael, 2021. "Phasing out coal - An impact analysis comparing five large-scale electricity market models," EconStor Preprints 234102, ZBW - Leibniz Information Centre for Economics.
    23. Zhang, Lirong & Li, Yakun & Jia, Zhijie, 2018. "Impact of carbon allowance allocation on power industry in China’s carbon trading market: Computable general equilibrium based analysis," Applied Energy, Elsevier, vol. 229(C), pages 814-827.
    24. Wanlin Yu & Jinlong Luo, 2022. "Impact on Carbon Intensity of Carbon Emission Trading—Evidence from a Pilot Program in 281 Cities in China," IJERPH, MDPI, vol. 19(19), pages 1-19, September.
    25. 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.
    26. Liu, Wan-Yu & Lin, Chun-Cheng & Yeh, Tzu-Lei, 2017. "Supply chain optimization of forest biomass electricity and bioethanol coproduction," Energy, Elsevier, vol. 139(C), pages 630-645.
    27. Byeongtae Ahn, 2022. "Implementation and Early Adoption of an Ethereum-Based Electronic Voting System for the Prevention of Fraudulent Voting," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
    28. 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).
    29. 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.
    30. Weng, Qingqing & Xu, He, 2018. "A review of China’s carbon trading market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 613-619.
    31. Wang, Xu & Zhu, Lei & Fan, Ying, 2018. "Transaction costs, market structure and efficient coverage of emissions trading scheme: A microlevel study from the pilots in China," Applied Energy, Elsevier, vol. 220(C), pages 657-671.
    32. Bingxin Zeng & Jun Xie & Xiaobing Zhang & Yang Yu & Lei Zhu, 2020. "The impacts of emission trading scheme on China’s thermal power industry: A pre-evaluation from the micro level," Energy & Environment, , vol. 31(6), pages 1007-1030, September.
    33. Lin, Weiming & Chen, Jianling & Zheng, Yi & Dai, Yongwu, 2019. "Effects of the EU Emission Trading Scheme on the international competitiveness of pulp-and-paper industry," Forest Policy and Economics, Elsevier, vol. 109(C).
    34. Yufeng Wang & Shijun Zhang & Luyao Zhang, 2023. "The Impact of Location-Based Tax Incentives and Carbon Emission Intensity: Evidence from China’s Western Development Strategy," IJERPH, MDPI, vol. 20(3), pages 1-23, February.
    35. 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.
    36. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    37. Wu, Rongxin & Tan, Zhizhou & Lin, Boqiang, 2023. "Does carbon emission trading scheme really improve the CO2 emission efficiency? Evidence from China's iron and steel industry," Energy, Elsevier, vol. 277(C).
    38. Lin, Boqiang & Jia, Zhijie, 2018. "Impact of quota decline scheme of emission trading in China: A dynamic recursive CGE model," Energy, Elsevier, vol. 149(C), pages 190-203.
    39. Daoyan Guo & Hong Chen & Ruyin Long, 2019. "How to involve individuals in personal carbon trading? A game model taking into account the heterogeneous emotions of government and individuals," 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 419-435, January.
    40. Haoran Zhang & Rongxia Zhang & Guomin Li & Wei Li & Yongrok Choi, 2019. "Sustainable Feasibility of Carbon Trading Policy on Heterogenetic Economic and Industrial Development," Sustainability, MDPI, vol. 11(23), pages 1-18, December.
    41. Zhang, Wei & Li, Guoxiang & Guo, Fanyong, 2022. "Does carbon emissions trading promote green technology innovation in China?," Applied Energy, Elsevier, vol. 315(C).
    42. Baochen Yang & Chuanze Liu & Zehao Gou & Jiacheng Man & Yunpeng Su, 2018. "How Will Policies of China’s CO 2 ETS Affect its Carbon Price: Evidence from Chinese Pilot Regions," Sustainability, MDPI, vol. 10(3), pages 1-26, February.

  40. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    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. 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).
    11. 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).
    12. 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.
    13. 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.
    14. Zhang, Cheng & Wang, Qunwei & Shi, Dan & Li, Pengfei & Cai, Wanhuan, 2016. "Scenario-based potential effects of carbon trading in China: An integrated approach," Applied Energy, Elsevier, vol. 182(C), pages 177-190.
    15. Xian’En Wang & Shimeng Wang & Xipan Wang & Wenbo Li & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "The Assessment of Carbon Performance under the Region-Sector Perspective based on the Nonparametric Estimation: A Case Study of the Northern Province in China," Sustainability, MDPI, vol. 11(21), pages 1-23, October.
    16. 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.
    17. 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).
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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).
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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).
    29. 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.
    30. Lin, Boqiang & Zhu, Junpeng, 2019. "Fiscal spending and green economic growth: Evidence from China," Energy Economics, Elsevier, vol. 83(C), pages 264-271.
    31. 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.
    32. 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.
    33. 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.
    34. 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).
    35. 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).
    36. 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).
    37. 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.
    38. 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.
    39. 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).
    40. 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).
    41. 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).
    42. 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).
    43. 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.
    44. 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).
    45. 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.
    46. 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.
    47. 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.

  41. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.

    Cited by:

    1. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    2. Yang, Zhenbing & Shao, Shuai & Li, Chengyu & Yang, Lili, 2020. "Alleviating the misallocation of R&D inputs in China's manufacturing sector: From the perspectives of factor-biased technological innovation and substitution elasticity," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    3. Yunyao Li & Yanji Ma, 2022. "Research on Industrial Innovation Efficiency and the Influencing Factors of the Old Industrial Base Based on the Lock-In Effect, a Case Study of Jilin Province, China," Sustainability, MDPI, vol. 14(19), pages 1-23, October.
    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. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    6. Isaac Muiruri Gachanja & Stephen Irura Nganga & Lucy Maina Kiganane, 2020. "Influence of Leadership on Innovation Efficiency in Manufacturing Firms in Kenya," International Journal of Management, Knowledge and Learning, International School for Social and Business Studies, Celje, Slovenia, vol. 9(1), pages 43-57.
    7. Tatiana Bencova & Andrea Bohacikova, 2022. "DEA in Performance Measurement of Two-Stage Processes: Comparative Overview of the Literature," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 111-129.
    8. Chen, Xihui Haviour & Tee, Kienpin & Chang, Victor, 2022. "Accelerating Innovation Efficiency through Agile Leadership: The CEO Network Effects in China," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    9. Shi, Xing & Wu, Yanrui & Fu, Dahai, 2020. "Does University-Industry collaboration improve innovation efficiency? Evidence from Chinese Firms⋄," Economic Modelling, Elsevier, vol. 86(C), pages 39-53.
    10. Sabri Boubaker & Riadh Manita & Salma Mefteh-Wali, 2022. "Foreign currency hedging and firm productive efficiency," Annals of Operations Research, Springer, vol. 313(2), pages 833-854, June.
    11. 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.
    12. Zhong, Meirui & Huang, Gangli & He, Ruifang, 2022. "The technological innovation efficiency of China's lithium-ion battery listed enterprises: Evidence from a three-stage DEA model and micro-data," Energy, Elsevier, vol. 246(C).
    13. Małgorzata K. Guzowska & Barbara Kryk & Dorota Michalak & Paulina Szyja, 2021. "R&D Spending in the Energy Sector and Achieving the Goal of Climate Neutrality," Energies, MDPI, vol. 14(23), pages 1-25, November.
    14. 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.
    15. Hongli Liu & Xiaoyu Yan & Jinhua Cheng & Jun Zhang & Yan Bu, 2021. "Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry," Energies, MDPI, vol. 14(14), pages 1-21, July.
    16. Lin, Boqiang & Chen, Yufang, 2019. "Impacts of policies on innovation in wind power technologies in China," Applied Energy, Elsevier, vol. 247(C), pages 682-691.
    17. Youngbok Ryu & Toshiyuki Sueyoshi, 2021. "Examining the Relationship between the Economic Performance of Technology-Based Small Suppliers and Socially Sustainable Procurement," Sustainability, MDPI, vol. 13(13), pages 1-23, June.
    18. He, Haonan & Li, Shiqiang & Wang, Shanyong & Zhang, Chaojia & Ma, Fei, 2023. "Value of dual-credit policy: Evidence from green technology innovation efficiency," Transport Policy, Elsevier, vol. 139(C), pages 182-198.
    19. Xiangyu Guo & Canhui Deng & Dan Wang & Xu Du & Jiali Li & Bowen Wan, 2021. "International Comparison of the Efficiency of Agricultural Science, Technology, and Innovation: A Case Study of G20 Countries," Sustainability, MDPI, vol. 13(5), pages 1-16, March.
    20. Shih-Heng Yu, 2019. "Benchmarking and Performance Evaluation Towards the Sustainable Development of Regions in Taiwan: A Minimum Distance-Based Measure with Undesirable Outputs in Additive DEA," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1323-1348, August.
    21. Zhujia Yin & Yantuan Yu & Jianhuan Huang, 2018. "Evaluation and evolution of bank efficiency considering heterogeneity technology: An empirical study from China," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    22. Bresciani, Stefano & Puertas, Rosa & Ferraris, Alberto & Santoro, Gabriele, 2021. "Innovation, environmental sustainability and economic development: DEA-Bootstrap and multilevel analysis to compare two regions," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    23. Jaeho Shin & Changhee Kim & Hongsuk Yang, 2018. "The Effect of Sustainability as Innovation Objectives on Innovation Efficiency," Sustainability, MDPI, vol. 10(6), pages 1-13, June.
    24. Miao, Cheng-lin & Duan, Meng-meng & Zuo, Yang & Wu, Xin-yu, 2021. "Spatial heterogeneity and evolution trend of regional green innovation efficiency--an empirical study based on panel data of industrial enterprises in China's provinces," Energy Policy, Elsevier, vol. 156(C).
    25. Wang, Ying & Zhang, Dayong & Ji, Qiang & Shi, Xunpeng, 2020. "Regional renewable energy development in China: A multidimensional assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    26. Zhang, Zhongqingyang & Zhu, Huiming & Zhou, Zhongbao & Zou, Kai, 2022. "How does innovation matter for sustainable performance? Evidence from small and medium-sized enterprises," Journal of Business Research, Elsevier, vol. 153(C), pages 251-265.
    27. 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.
    28. Yaliu Yang & Yuan Wang & Cui Wang & Yingyan Zhang & Cuixia Zhang, 2022. "Temporal and Spatial Evolution of the Science and Technology Innovative Efficiency of Regional Industrial Enterprises: A Data-Driven Perspective," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    29. Sueyoshi, Toshiyuki & Ryu, Youngbok, 2022. "Performance assessment on technology transition from small businesses to the U.S. Department of Defense," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    30. Xueling Guan & Lijiang Chen & Qing Xia & Zhaohui Qin, 2022. "Innovation Efficiency of Chinese Pharmaceutical Manufacturing Industry from the Perspective of Innovation Ecosystem," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    31. 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).
    32. Jiawei Yang & Lei Fang, 2022. "Average lexicographic efficiency decomposition in two-stage data envelopment analysis: an application to China’s regional high-tech innovation systems," Annals of Operations Research, Springer, vol. 312(2), pages 1051-1093, May.
    33. Jaeho Shin & Changhee Kim & Hongsuk Yang, 2019. "Does Reduction of Material and Energy Consumption Affect to Innovation Efficiency? The Case of Manufacturing Industry in South Korea," Energies, MDPI, vol. 12(6), pages 1-14, March.
    34. Wang, Qian & Ren, Shuming, 2022. "Evaluation of green technology innovation efficiency in a regional context: A dynamic network slacks-based measuring approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    35. Antunes, Jorge Junio Moreira & Neves, Juliana Campos & Elmor, Larissa Rosa Carneiro & Araujo, Michel Fontaine Reis De & Wanke, Peter Fernandes & Tan, Yong, 2023. "A new perspective on the U.S. energy efficiency: The political context," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    36. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2022. "Innovation efficiency and technology heterogeneity within China's new energy vehicle industry: A two-stage NSBM approach embedded in a three-hierarchy meta-frontier framework," Energy Policy, Elsevier, vol. 161(C).
    37. Shiping Mao & Marios Dominikos Kremantzis & Leonidas Sotirios Kyrgiakos & George Vlontzos, 2022. "R&D Performance Evaluation in the Chinese Food Manufacturing Industry Based on Dynamic DEA in the COVID-19 Era," Agriculture, MDPI, vol. 12(11), pages 1-19, November.
    38. Atta Mills, Ebenezer Fiifi Emire & Zeng, Kailin & Fangbiao, Liu & Fangyan, Li, 2021. "Modeling innovation efficiency, its micro-level drivers, and its impact on stock returns," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    39. Mohammad Nemati & Reza Kazemi Matin & Mehdi Toloo, 2020. "A two-stage DEA model with partial impacts between inputs and outputs: application in refinery industries," Annals of Operations Research, Springer, vol. 295(1), pages 285-312, December.
    40. Yu, Anyu & Zhang, Qin & Yu, Rongjian & Cheng, Yu, 2023. "More is better or in waste? A resource allocation measure of government grants for facilitating firm innovations," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    41. Li, Hongkuan & He, Haiyan & Shan, Jiefei & Cai, Jingjing, 2019. "Innovation efficiency of semiconductor industry in China: A new framework based on generalized three-stage DEA analysis," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 136-148.
    42. Siran Fang & Xiaoshan Xue & Ge Yin & Hong Fang & Jialin Li & Yongnian Zhang, 2020. "Evaluation and Improvement of Technological Innovation Efficiency of New Energy Vehicle Enterprises in China Based on DEA-Tobit Model," Sustainability, MDPI, vol. 12(18), pages 1-22, September.
    43. Puertas, Rosa & Marti, Luisa & Guaita-Martinez, José M., 2020. "Innovation, lifestyle, policy and socioeconomic factors: An analysis of European quality of life," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    44. Kai Xu & Bart Bossink & Qiang Chen, 2019. "Efficiency Evaluation of Regional Sustainable Innovation in China: A Slack-Based Measure (SBM) Model with Undesirable Outputs," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
    45. Qiao, Sen & Chen, Hsing Hung & Zhang, Rong Rong, 2021. "Examining the impact of factor price distortions and social welfare on innovation efficiency from the microdata of Chinese renewable energy industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    46. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    47. Cailou, Jiang & DeHai, Liu, 2022. "Does venture capital stimulate the innovation of China's new energy enterprises?," Energy, Elsevier, vol. 244(PA).
    48. Chen, Wei & Su, Zhi & Wang, Yanan & Wang, Qian & Zhao, Guoli, 2022. "Do the rank difference of industrial development zones affect land use efficiency? A regional analysis in China," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).

  42. 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.

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    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. Wang, Juan & Hu, Mingming & Tukker, Arnold & Rodrigues, João F.D., 2019. "The impact of regional convergence in energy-intensive industries on China's CO2 emissions and emission goals," Energy Economics, Elsevier, vol. 80(C), pages 512-523.
    6. Sun, Chuanwang & Zhang, Wenyue & Luo, Yuan & Xu, Yonghong, 2019. "The improvement and substitution effect of transportation infrastructure on air quality: An empirical evidence from China's rail transit construction," Energy Policy, Elsevier, vol. 129(C), pages 949-957.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. 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.
    14. 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.
    15. 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).
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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).
    22. 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.
    23. 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.
    24. 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.
    25. 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.

  43. 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.

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. 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.
    7. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Meng, Bo, 2021. "Attribution of changes in an intensity index," Energy, Elsevier, vol. 216(C).
    8. Chen, Jiandong & Wang, Ping & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2018. "Decomposition and decoupling analysis of CO2 emissions in OECD," Applied Energy, Elsevier, vol. 231(C), pages 937-950.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.

  44. 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.

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    1. 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.
    2. 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.
    3. Gianluca Gucciardi, 2022. "Measuring the relative development and integration of EU countries’ capital markets using composite indicators and cluster analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(4), pages 1043-1083, November.
    4. 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).
    5. 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).
    6. 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.
    7. Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
    8. 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.
    9. 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.
    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. 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.

  45. 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.

    Cited by:

    1. Ning Chang & Michael L. Lahr, 2016. "Changes in China’s production-source CO 2 emissions: insights from structural decomposition analysis and linkage analysis," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 224-242, June.
    2. Yu, Shiwei & Zheng, Shuhong & Li, Xia, 2018. "The achievement of the carbon emissions peak in China: The role of energy consumption structure optimization," Energy Economics, Elsevier, vol. 74(C), pages 693-707.
    3. Zheng, Huanyu & Song, Malin & Shen, Zhiyang, 2021. "The evolution of renewable energy and its impact on carbon reduction in China," Energy, Elsevier, vol. 237(C).
    4. Yao Qian & Lang Sun & Quanyi Qiu & Lina Tang & Xiaoqi Shang & Chengxiu Lu, 2020. "Analysis of CO 2 Drivers and Emissions Forecast in a Typical Industry-Oriented County: Changxing County, China," Energies, MDPI, vol. 13(5), pages 1-21, March.
    5. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    6. Liobikienė, Genovaitė & Butkus, Mindaugas, 2019. "Scale, composition, and technique effects through which the economic growth, foreign direct investment, urbanization, and trade affect greenhouse gas emissions," Renewable Energy, Elsevier, vol. 132(C), pages 1310-1322.
    7. Li, Cunfang & Li, Danping & Zhang, Xiaoxu, 2019. "Why can China's coal resource-exhausted enterprises cross the district to transfer?," Resources Policy, Elsevier, vol. 60(C), pages 94-105.
    8. Fuyu Cai & Yuting Ding, 2023. "Hopf Bifurcation Analysis of a Class of Saperda populnea Infectious Disease Model with Delay," Mathematics, MDPI, vol. 11(20), pages 1-14, October.
    9. 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.
    10. 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.
    11. Yan, Bin & Wang, Feng & Dong, Mingru & Ren, Jing & Liu, Juan & Shan, Jing, 2022. "How do financial spatial structure and economic agglomeration affect carbon emission intensity? Theory extension and evidence from China," Economic Modelling, Elsevier, vol. 108(C).
    12. 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.
    13. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    14. Feng Dong & Yue Wang & Xiaojie Zhang, 2018. "Can Environmental Quality Improvement and Emission Reduction Targets Be Realized Simultaneously? Evidence from China and A Geographically and Temporally Weighted Regression Model," IJERPH, MDPI, vol. 15(11), pages 1-22, October.
    15. 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.
    16. Tan, Ruipeng & Lin, Boqiang, 2018. "What factors lead to the decline of energy intensity in China's energy intensive industries?," Energy Economics, Elsevier, vol. 71(C), pages 213-221.
    17. 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.
    18. Lijie Gao & Xiaoqi Shang & Fengmei Yang & Longyu Shi, 2021. "A Dynamic Benchmark System for Per Capita Carbon Emissions in Low-Carbon Counties of China," Energies, MDPI, vol. 14(3), pages 1-16, January.
    19. 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.
    20. 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).
    21. Yousaf Ali & Maurizio Ciaschini & Claudio Socci & Rosita Pretaroli & Muhammad Sabir, 2019. "Identifying the sources of structural changes in CO2 emissions in Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(2), pages 509-526, July.
    22. 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).
    23. Shuddhasattwa Rafiq & Ingrid Nielsen & Russell Smyth, 2016. "Effect of Internal Migration on Air and Water Pollution in China," Monash Economics Working Papers 27-16, Monash University, Department of Economics.
    24. 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.
    25. 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.
    26. 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).
    27. Yuliia Matiiuk & Mykolas Simas Poškus & Genovaitė Liobikienė, 2020. "The Implementation of Climate Change Policy in Post-Soviet Countries Achieving Long-Term Targets," Sustainability, MDPI, vol. 12(11), pages 1-24, June.
    28. 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).
    29. Du, Kerui & Xie, Chunping & Ouyang, Xiaoling, 2017. "A comparison of carbon dioxide (CO2) emission trends among provinces in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 19-25.
    30. 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.
    31. Fan, Jing-Li & Da, Ya-Bin & Wan, Si-Lai & Zhang, Mian & Cao, Zhe & Wang, Yu & Zhang, Xian, 2019. "Determinants of carbon emissions in ‘Belt and Road initiative’ countries: A production technology perspective," Applied Energy, Elsevier, vol. 239(C), pages 268-279.
    32. 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).
    33. Changjun Jiang & Xiaoxuan Liu, 2022. "Does High-Speed Rail Operation Reduce Ecological Environment Pressure?—Empirical Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    34. 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.
    35. Andreoni, Valeria, 2022. "Drivers of coal consumption changes: A decomposition analysis for Chinese regions," Energy, Elsevier, vol. 242(C).
    36. 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.
    37. 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.
    38. Yuntong Liu & Yu Wei & Yi Liu & Wenjuan Li, 2020. "Forecasting Oil Price by Hierarchical Shrinkage in Dynamic Parameter Models," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-12, December.
    39. 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.
    40. Gen Li & Shihong Zeng & Tengfei Li & Qiao Peng & Muhammad Irfan, 2023. "Analysing the Effect of Energy Intensity on Carbon Emission Reduction in Beijing," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. 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.
    46. 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).
    47. 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.
    48. 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.
    49. Yang, Hao-Chang & Feng, Gen-Fu & Zhao, Xin Xin & Chang, Chun-Ping, 2022. "The impacts of energy insecurity on green innovation: A multi-country study," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 139-154.
    50. 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.
    51. 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.
    52. Shichun Xu & Yongmei Miao & Yiwen Li & Yifeng Zhou & Xiaoxue Ma & Zhengxia He & Bin Zhao & Shuxiao Wang, 2019. "What Factors Drive Air Pollutants in China? An Analysis from the Perspective of Regional Difference Using a Combined Method of Production Decomposition Analysis and Logarithmic Mean Divisia Index," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    53. 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.
    54. Wu, Rong & Wang, Jieyu & Wang, Shaojian & Feng, Kuishuang, 2021. "The drivers of declining CO2 emissions trends in developed nations using an extended STIRPAT model: A historical and prospective analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    55. Dongxiao Niu & Gengqi Wu & Zhengsen Ji & Dongyu Wang & Yuying Li & Tian Gao, 2021. "Evaluation of Provincial Carbon Neutrality Capacity of China Based on Combined Weight and Improved TOPSIS Model," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    56. Feng Dong & Yifei Hua & Bolin Yu, 2018. "Peak Carbon Emissions in China: Status, Key Factors and Countermeasures—A Literature Review," Sustainability, MDPI, vol. 10(8), pages 1-34, August.
    57. 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.
    58. 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.
    59. Xing Zhou & Meihua Zhou & Ming Zhang, 2016. "Contrastive analyses of the influence factors of interprovincial carbon emission induced by industry energy 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. 81(3), pages 1405-1433, April.
    60. 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).
    61. Rafiq, Shuddhasattwa & Nielsen, Ingrid & Smyth, Russell, 2017. "Effect of internal migration on the environment in China," Energy Economics, Elsevier, vol. 64(C), pages 31-44.
    62. Zhou, Di & Huang, Qing & Chong, Zhaohui, 2022. "Analysis on the effect and mechanism of land misallocation on carbon emissions efficiency: Evidence from China," Land Use Policy, Elsevier, vol. 121(C).
    63. 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.
    64. 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).
    65. 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.
    66. 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.
    67. Gao, Ming, 2023. "The impacts of carbon trading policy on China's low-carbon economy based on county-level perspectives," Energy Policy, Elsevier, vol. 175(C).
    68. Cheng Zhang & Ziwei Zhao & Qunwei Wang, 2022. "Effect of Western Development Strategy on carbon productivity and its influencing mechanisms," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 4963-5002, April.
    69. 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.
    70. 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).
    71. 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).

  46. 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.

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    1. Benita, Francisco & Urzúa, Carlos M., 2018. "Efficient creativity in Mexican metropolitan areas," Economic Modelling, Elsevier, vol. 71(C), pages 25-33.
    2. 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.
    3. 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.
    4. Simona Bigerna & Maria Chiara D’Errico & Paolo Polinori, 2022. "Sustainable Power Generation in Europe: A Panel Data Analysis of the Effects of Market and Environmental Regulations," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(2), pages 445-479, October.
    5. Wasi Ul Hassan Shah & Yuting Lu & Gang Hao & Hong Yan & Rizwana Yasmeen, 2022. "Impact of “Three Red Lines” Water Policy (2011) on Water Usage Efficiency, Production Technology Heterogeneity, and Determinant of Water Productivity Change in China," IJERPH, MDPI, vol. 19(24), pages 1-23, December.
    6. 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.
    7. Xiongfeng Pan & Jing Zhang & Changyu Li & Xianyou Pan & Jinbo Song, 2019. "Analysis of China’s regional wind power generation efficiency and its influencing factors," Energy & Environment, , vol. 30(2), pages 254-271, March.
    8. Chen, Lei & Wang, Ying-Ming & Lai, Fujun, 2017. "Semi-disposability of undesirable outputs in data envelopment analysis for environmental assessments," European Journal of Operational Research, Elsevier, vol. 260(2), pages 655-664.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. Hongzhang Chen & Haiwen Yang, 2020. "Measurement and Structural Factors Influencing China’s Provincial Total-Factor Energy Efficiency Under Resource and Environmental Constraints," SAGE Open, , vol. 10(3), pages 21582440209, July.
    14. 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.
    15. 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.
    16. Liu, Haomin & Zhang, Zaixu & Zhang, Tao & Wang, Liyang, 2020. "Revisiting China’s provincial energy efficiency and its influencing factors," Energy, Elsevier, vol. 208(C).
    17. 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.
    18. Chen, Hong & Gangopadhyay, Partha & Singh, Baljeet & Shankar, Sriram, 2022. "Measuring preferences for energy efficiency in ACI and EU nations and uncovering their impacts on energy conservation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    19. Yu, Yantuan & Peng, Chong & Li, Yushuang, 2019. "Do neighboring prefectures matter in promoting eco-efficiency? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 456-465.
    20. Zhu, Shu & Xu, Xin & Ren, Xiaojing & Sun, Tianhua & Oxley, Les & Rae, Allan & Ma, Hengyun, 2016. "Modeling technological bias and factor input behavior in China's wheat production sector," Economic Modelling, Elsevier, vol. 53(C), pages 245-253.
    21. Rui Ding & Tao Zhou & Jian Yin & Yilin Zhang & Siwei Shen & Jun Fu & Linyu Du & Yiming Du & Shihui Chen, 2022. "Does the Urban Agglomeration Policy Reduce Energy Intensity? Evidence from China," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    22. Wu, Ge & Baležentis, Tomas & Sun, Chuanwang & Xu, Shuhua, 2019. "Source control or end-of-pipe control: Mitigating air pollution at the regional level from the perspective of the Total Factor Productivity change decomposition," Energy Policy, Elsevier, vol. 129(C), pages 1227-1239.

  47. 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.

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Feng, Chao & Wang, Miao, 2017. "The economy-wide energy efficiency in China’s regional building industry," Energy, Elsevier, vol. 141(C), pages 1869-1879.
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. 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).
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. Zhang, Cheng & Wang, Qunwei & Shi, Dan & Li, Pengfei & Cai, Wanhuan, 2016. "Scenario-based potential effects of carbon trading in China: An integrated approach," Applied Energy, Elsevier, vol. 182(C), pages 177-190.
    26. 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.
    27. 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.
    28. 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.
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    30. 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.
    31. Nadimi, Reza & Tokimatsu, Koji, 2019. "Potential energy saving via overall efficiency relying on quality of life," Applied Energy, Elsevier, vol. 233, pages 283-299.
    32. 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.
    33. 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.
    34. 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).
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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).
    40. 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.
    41. 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.
    42. 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.
    43. Lin, Boqiang & Bai, Rui, 2020. "Dynamic energy performance evaluation of Chinese textile industry," Energy, Elsevier, vol. 199(C).
    44. 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).
    45. 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.
    46. 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).
    47. 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.
    48. 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.
    49. 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.
    50. 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.
    51. 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.
    52. 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.
    53. Yu, Yantuan & Zhang, Ning, 2021. "Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 96(C).
    54. 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.
    55. 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.
    56. 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.
    57. 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.
    58. 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.
    59. 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).
    60. 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.
    61. 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.
    62. 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.
    63. 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.
    64. 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).
    65. 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).
    66. 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).
    67. 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.
    68. 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.
    69. 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.
    70. 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).
    71. 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).
    72. 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.
    73. 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.
    74. 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.
    75. 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.
    76. 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.
    77. 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.
    78. 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.
    79. 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.
    80. 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.
    81. 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.

  48. 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. Shao, Yanmin, 2017. "Analysis of energy savings potential of China's nonferrous metals industry," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 25-33.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.

  49. 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.

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    2. César, Aldara da Silva & Werderits, Dayana Elizabeth & de Oliveira Saraiva, Gabriela Leal & Guabiroba, Ricardo César da Silva, 2017. "The potential of waste cooking oil as supply for the Brazilian biodiesel chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 246-253.
    3. Brown, Alistair, 2016. "The need for improved financial reporting of a developing country energy utility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1448-1454.
    4. Elahi, Ehsan & Weijun, Cui & Jha, Sunil Kumar & Zhang, Huiming, 2019. "Estimation of realistic renewable and non-renewable energy use targets for livestock production systems utilising an artificial neural network method: A step towards livestock sustainability," Energy, Elsevier, vol. 183(C), pages 191-204.
    5. Xu, Jie & Yuan, Zhenhong & Chang, Shiyan, 2018. "Long-term cost trajectories for biofuels in China projected to 2050," Energy, Elsevier, vol. 160(C), pages 452-465.
    6. Monteiro, Marcos Roberto & Kugelmeier, Cristie Luis & Pinheiro, Rafael Sanaiotte & Batalha, Mario Otávio & da Silva César, Aldara, 2018. "Glycerol from biodiesel production: Technological paths for sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 109-122.
    7. Fan, Liangliang & Ruan, Roger & Li, Jun & Ma, Longlong & Wang, Chenguang & Zhou, Wenguang, 2020. "Aromatics production from fast co-pyrolysis of lignin and waste cooking oil catalyzed by HZSM-5 zeolite," Applied Energy, Elsevier, vol. 263(C).

  50. Wan-Yu Liu & Chun-Cheng Lin & Ching-Ren Chiu & You-Song Tsao & Qunwei Wang, 2014. "Minimizing the Carbon Footprint for the Time-Dependent Heterogeneous-Fleet Vehicle Routing Problem with Alternative Paths," Sustainability, MDPI, vol. 6(7), pages 1-27, July.

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    2. Yongrok Choi & Ning Zhang, 2015. "Introduction to the Special Issue on “the Sustainable Asia Conference 2014”," Sustainability, MDPI, vol. 7(2), pages 1-8, February.
    3. Ilkyeong Moon & Yoon Jea Jeong & Subrata Saha, 2016. "Fuzzy Bi-Objective Production-Distribution Planning Problem under the Carbon Emission Constraint," Sustainability, MDPI, vol. 8(8), pages 1-17, August.
    4. Songyi Wang & Fengming Tao & Yuhe Shi & Haolin Wen, 2017. "Optimization of Vehicle Routing Problem with Time Windows for Cold Chain Logistics Based on Carbon Tax," Sustainability, MDPI, vol. 9(5), pages 1-23, April.
    5. Longlong Leng & Yanwei Zhao & Zheng Wang & Jingling Zhang & Wanliang Wang & Chunmiao Zhang, 2019. "A Novel Hyper-Heuristic for the Biobjective Regional Low-Carbon Location-Routing Problem with Multiple Constraints," Sustainability, MDPI, vol. 11(6), pages 1-31, March.
    6. Shijin Wang & Xiaodong Wang & Xin Liu & Jianbo Yu, 2018. "A Bi-Objective Vehicle-Routing Problem with Soft Time Windows and Multiple Depots to Minimize the Total Energy Consumption and Customer Dissatisfaction," Sustainability, MDPI, vol. 10(11), pages 1-21, November.
    7. Yuhe Shi & Zhenggang He, 2018. "Decision Analysis of Disturbance Management in the Process of Medical Supplies Transportation after Natural Disasters," IJERPH, MDPI, vol. 15(8), pages 1-18, August.
    8. Songyi Wang & Fengming Tao & Yuhe Shi, 2018. "Optimization of Location–Routing Problem for Cold Chain Logistics Considering Carbon Footprint," IJERPH, MDPI, vol. 15(1), pages 1-17, January.
    9. Lorena Reyes-Rubiano & Laura Calvet & Angel A. Juan & Javier Faulin & Lluc Bové, 2020. "A biased-randomized variable neighborhood search for sustainable multi-depot vehicle routing problems," Journal of Heuristics, Springer, vol. 26(3), pages 401-422, June.
    10. Songyi Wang & Fengming Tao & Yuhe Shi, 2018. "Optimization of Inventory Routing Problem in Refined Oil Logistics with the Perspective of Carbon Tax," Energies, MDPI, vol. 11(6), pages 1-17, June.
    11. Gaoyuan Qin & Fengming Tao & Lixia Li, 2019. "A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions," IJERPH, MDPI, vol. 16(4), pages 1-17, February.
    12. Daniel Efurosibina Attoye & Kheira Anissa Tabet Aoul & Ahmed Hassan, 2017. "A Review on Building Integrated Photovoltaic Façade Customization Potentials," Sustainability, MDPI, vol. 9(12), pages 1-24, December.
    13. Ziqi Wang & Peihan Wen, 2020. "Optimization of a Low-Carbon Two-Echelon Heterogeneous-Fleet Vehicle Routing for Cold Chain Logistics under Mixed Time Window," Sustainability, MDPI, vol. 12(5), pages 1-22, March.
    14. Ozgur Kabadurmus & Mehmet S. Erdogan, 2023. "A green vehicle routing problem with multi-depot, multi-tour, heterogeneous fleet and split deliveries: a mathematical model and heuristic approach," Journal of Combinatorial Optimization, Springer, vol. 45(3), pages 1-29, April.
    15. Xujing Zhang & Lichuan Wang & Yan Chen, 2019. "Carbon Emission Reduction of Apparel Material Distribution Based on Multi-Objective Genetic Algorithm (NSGA-II)," Sustainability, MDPI, vol. 11(9), pages 1-15, May.

  51. 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.

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    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. 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.
    3. 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.
    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. 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.
    6. 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.
    7. 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).
    8. Kristian Skånberg & Åsa Svenfelt, 2022. "Expanding the IPAT identity to quantify backcasting sustainability scenarios," Futures & Foresight Science, John Wiley & Sons, vol. 4(2), June.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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).
    14. 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.
    15. 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.
    16. 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.
    17. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    18. 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. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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).
    24. 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.
    25. 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.
    26. 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.
    27. Zhang, Yue-Jun & Peng, Hua-Rong & Liu, Zhao & Tan, Weiping, 2015. "Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach," Energy Policy, Elsevier, vol. 87(C), pages 303-313.
    28. 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.
    29. 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.
    30. 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).
    31. 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.
    32. 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.
    33. 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.
    34. Gozgor, Giray & Can, Muhlis, 2016. "Does Export Product Quality Matter for CO2 Emissions? Evidence from China," MPRA Paper 71873, University Library of Munich, Germany.
    35. 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).
    36. 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.
    37. 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).
    38. 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).
    39. 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.
    40. 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.
    41. 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.
    42. 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.
    43. 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.
    44. 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.
    45. Wang, Shaojian & Fang, Chuanglin & Guan, Xingliang & Pang, Bo & Ma, Haitao, 2014. "Urbanisation, energy consumption, and carbon dioxide emissions in China: A panel data analysis of China’s provinces," Applied Energy, Elsevier, vol. 136(C), pages 738-749.
    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.

  52. 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.

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    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. Pan Wanbin & Huang Lei & Zhao Linlin, 2017. "An Integrated DEA Model Allowing Decomposition of Eco-Efficiency: A Case Study of China," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 473-488, October.
    3. 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.
    4. 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.
    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. 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. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Isaac Muiruri Gachanja & Stephen Irura Nganga & Lucy Maina Kiganane, 2020. "Influence of Leadership on Innovation Efficiency in Manufacturing Firms in Kenya," International Journal of Management, Knowledge and Learning, International School for Social and Business Studies, Celje, Slovenia, vol. 9(1), pages 43-57.
    12. 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.
    13. 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.
    14. Jung Ho Park & Kwangsoo Shin, 2018. "Efficiency of Government-Sponsored R&D Projects: A Metafrontier DEA Approach," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    15. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas & Broadstock, David C., 2016. "Spillovers, path dependence and the productive performance of European transportation sectors in the presence of technology heterogeneity," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 261-274.
    16. Feng, Chao & Wang, Miao, 2017. "The economy-wide energy efficiency in China’s regional building industry," Energy, Elsevier, vol. 141(C), pages 1869-1879.
    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. Shui‐ying Jin & Xiao‐lin Zhou & Yung‐ho Chiu, 2021. "The parent–subsidiary knowledge transfer efficiency of Chinese–African multinational enterprises based on a metafrontier epsilon‐based measure model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 479-492, March.
    19. Adom, Philip Kofi & Adams, Samuel, 2020. "Decomposition of technical efficiency in agricultural production in Africa into transient and persistent technical efficiency under heterogeneous technologies," World Development, Elsevier, vol. 129(C).
    20. 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.
    21. Yang, Ranran & Long, Ruyin & Yue, Ting & Shi, Haihong, 2014. "Calculation of embodied energy in Sino-USA trade: 1997–2011," Energy Policy, Elsevier, vol. 72(C), pages 110-119.
    22. Vera-Gilces, Paul & Camino-Mogro, Segundo & Ordeñana-Rodríguez, Xavier & Cornejo-Marcos, Gino, 2020. "A look inside banking profitability: Evidence from a dollarized emerging country," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 147-166.
    23. Sun, Ya-Fang & Yu, Shiwei & Zhang, Yue-Jun & Su, Bin, 2023. "How do imports change the energy consumption of China? An analysis of its role in intermediate inputs and final demands," Energy, Elsevier, vol. 270(C).
    24. 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.
    25. 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).
    26. Ning Zhang & Fanbin Kong & Chih-Chun Kung, 2015. "On Modeling Environmental Production Characteristics: A Slacks-Based Measure for China’s Poyang Lake Ecological Economics Zone," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 389-404, October.
    27. Tao Ding & Ya Chen & Huaqing Wu & Yuqi Wei, 2018. "Centralized fixed cost and resource allocation considering technology heterogeneity: a DEA approach," Annals of Operations Research, Springer, vol. 268(1), pages 497-511, September.
    28. Fang, Zheng & Chen, Yang, 2017. "Human capital and energy in economic growth – Evidence from Chinese provincial data," Energy Economics, Elsevier, vol. 68(C), pages 340-358.
    29. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.
    30. 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.
    31. Zhou, Bo & Zhang, Cheng & Wang, Qunwei & Zhou, Dequn, 2020. "Does emission trading lead to carbon leakage in China? Direction and channel identifications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. Kounetas, Kostas & Napolitano, Oreste, 2018. "Modeling the incidence of international trade on Italian regional productive efficiency using a meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 71(C), pages 45-58.
    39. Jianhuan Huang & Yue Hua, 2019. "Eco-efficiency Convergence and Green Urban Growth in China," International Regional Science Review, , vol. 42(3-4), pages 307-334, May.
    40. Yingying Shao & Gongbing Bi & Feng Yang & Qiong Xia, 2018. "Resource allocation for branch network system with considering heterogeneity based on DEA method," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 1005-1025, December.
    41. 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.
    42. Lin, Boqiang & Zhu, Junpeng, 2020. "Chinese electricity demand and electricity consumption efficiency: Do the structural changes matter?," Applied Energy, Elsevier, vol. 262(C).
    43. 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.
    44. Shao, Jun & Wang, Lianghu, 2023. "Can new-type urbanization improve the green total factor energy efficiency? Evidence from China," Energy, Elsevier, vol. 262(PB).
    45. Xiongfeng Pan & Jing Zhang & Changyu Li & Xianyou Pan & Jinbo Song, 2019. "Analysis of China’s regional wind power generation efficiency and its influencing factors," Energy & Environment, , vol. 30(2), pages 254-271, March.
    46. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    47. Zha, Jianping & Tan, Ting & Fan, Rong & Xu, Han & Ma, Siqi, 2020. "How to reduce energy intensity to achieve sustainable development of China's transport sector? A cross-regional comparison analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    48. 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).
    49. 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.
    50. 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.
    51. Xiangyu Teng & Danting Lu & Yung-ho Chiu, 2019. "Emission Reduction and Energy Performance Improvement with Different Regional Treatment Intensity in China," Energies, MDPI, vol. 12(2), pages 1-18, January.
    52. 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.
    53. Lin, Boqiang & Long, Houyin, 2014. "Promoting carbon emissions reduction in China's chemical process industry," Energy, Elsevier, vol. 77(C), pages 822-830.
    54. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
    55. Lin, Boqiang & Du, Kerui, 2014. "Measuring energy efficiency under heterogeneous technologies using a latent class stochastic frontier approach: An application to Chinese energy economy," Energy, Elsevier, vol. 76(C), pages 884-890.
    56. Fang, Zheng & Chen, Yang, 2017. "Human capital, energy, and economic development – Evidence from Chinese provincial data," RIEI Working Papers 2017-03, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    57. 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.
    58. Liu, Xiaohong & Yang, Jiangjiang & Xu, Chengzhen & Li, Xingchen & Zhu, Qingyuan, 2023. "Environmental regulation efficiency analysis by considering regional heterogeneity," Resources Policy, Elsevier, vol. 83(C).
    59. 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).
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    2. Dacinia Crina Petrescu & Ruxandra Mălina Petrescu-Mag & Dorin Iosif Manciula & Ioan Alin Nistor & Veronica Ioana Ilieș, 2018. "Wastewater Reflections in Consumer Mind: Evidence from Sewage Services Consumer Behaviour," Sustainability, MDPI, vol. 11(1), pages 1-15, December.
    3. Comineti, Camila da Silva Serra & Pretel, Ariel Fernandes & Schlindwein, Madalena Maria, 2023. "The type of development promoted by Brazilian National Biofuels Policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    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. Othman, Mohd Fahmi & Adam, Abdullah & Najafi, G. & Mamat, Rizalman, 2017. "Green fuel as alternative fuel for diesel engine: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 694-709.
    6. 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).
    7. Yang, Rui & Tang, Wansheng & Zhang, Jianxiong, 2021. "Technology improvement strategy for green products under competition: The role of government subsidy," European Journal of Operational Research, Elsevier, vol. 289(2), pages 553-568.
    8. Mohammad, Masita & Kandaramath Hari, Thushara & Yaakob, Zahira & Chandra Sharma, Yogesh & Sopian, Kamaruzzaman, 2013. "Overview on the production of paraffin based-biofuels via catalytic hydrodeoxygenation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 121-132.
    9. Sanjid, A. & Masjuki, H.H. & Kalam, M.A. & Rahman, S.M. Ashrafur & Abedin, M.J. & Palash, S.M., 2013. "Impact of palm, mustard, waste cooking oil and Calophyllum inophyllum biofuels on performance and emission of CI engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 664-682.
    10. Ameen, Mariam & Azizan, Mohammad Tazli & Yusup, Suzana & Ramli, Anita & Yasir, Madiha, 2017. "Catalytic hydrodeoxygenation of triglycerides: An approach to clean diesel fuel production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1072-1088.
    11. Isabel Dinis, 2019. "The Concept of Family Farming in the Portuguese Political Discourse," Social Sciences, MDPI, vol. 8(7), pages 1-15, July.
    12. Haseeb Yaqoob & Yew Heng Teoh & Farooq Sher & Muhammad Umer Farooq & Muhammad Ahmad Jamil & Zareena Kausar & Noor Us Sabah & Muhammad Faizan Shah & Hafiz Zia Ur Rehman & Atiq Ur Rehman, 2021. "Potential of Waste Cooking Oil Biodiesel as Renewable Fuel in Combustion Engines: A Review," Energies, MDPI, vol. 14(9), pages 1-20, April.

  55. 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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    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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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    13. Mohammad Mafizur Rahman & Khosrul Alam, 2022. "CO 2 Emissions in Asia–Pacific Region: Do Energy Use, Economic Growth, Financial Development, and International Trade Have Detrimental Effects?," Sustainability, MDPI, vol. 14(9), pages 1-16, April.
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    22. Xiaochen Gong & Yunxia Liu & Tao Sun, 2020. "Evaluating Climate Change Governance Using the “Polity–Policy–Politics” Framework: A Comparative Study of China and the United States," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
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    31. Gulasekaran Rajaguru & Safdar Ullah Khan, 2021. "Causality between Energy Consumption and Economic Growth in the Presence of Growth Volatility: Multi-Country Evidence," JRFM, MDPI, vol. 14(10), pages 1-26, October.
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