Energy conservation and emission reduction path selection in China: A simulation based on Bi-Level multi-objective optimization model
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DOI: 10.1016/j.enpol.2019.111116
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- Tan, Xianchun & Dong, Lele & Chen, Dexue & Gu, Baihe & Zeng, Yuan, 2016. "China’s regional CO2 emissions reduction potential: A study of Chongqing city," Applied Energy, Elsevier, vol. 162(C), pages 1345-1354.
- Zhu, Bangzhu & Jiang, Minxing & Wang, Kefan & Chevallier, Julien & Wang, Ping & Wei, Yi-Ming, 2018.
"On the road to China's 2020 carbon intensity target from the perspective of “double control”,"
Energy Policy, Elsevier, vol. 119(C), pages 377-387.
- Bangzhu Zhu & Minxing Jiang & Kefan Wang & Julien Chevallier & Ping Wang & Yi-Ming Wei, 2018. "On the road to China's 2020 carbon intensity target from the perspective of “double control”," Post-Print halshs-04250173, HAL.
- Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
- Yuan, Jiahai & Hou, Yong & Xu, Ming, 2012. "China's 2020 carbon intensity target: Consistency, implementations, and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4970-4981.
- Hao, Yu & Liao, Hua & Wei, Yi-Ming, 2015.
"Is China’s carbon reduction target allocation reasonable? An analysis based on carbon intensity convergence,"
Applied Energy, Elsevier, vol. 142(C), pages 229-239.
- Yu Hao & Hua Liao & Yi-Ming Wei, 2014. "Is China's carbon reduction target allocation reasonable? An analysis based on carbon intensity convergence," CEEP-BIT Working Papers 71, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Yang, Chi-Jen & Zhou, Yipei & Jackson, Robert B., 2014. "China's fuel gas sector: History, current status, and future prospects," Utilities Policy, Elsevier, vol. 28(C), pages 12-21.
- Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
- Zhu Liu & Dabo Guan & Douglas Crawford-Brown & Qiang Zhang & Kebin He & Jianguo Liu, 2013. "A low-carbon road map for China," Nature, Nature, vol. 500(7461), pages 143-145, August.
- Zhang, Ming & Liu, Xiao & Wang, Wenwen & Zhou, Min, 2013. "Decomposition analysis of CO2 emissions from electricity generation in China," Energy Policy, Elsevier, vol. 52(C), pages 159-165.
- Yu, Shiwei & Wei, Yi-Ming & Wang, Ke, 2014.
"Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition,"
Energy Policy, Elsevier, vol. 66(C), pages 630-644.
- Shiwei Yu & Yi-Ming Wei & Ke Wang, 2012. "Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition," CEEP-BIT Working Papers 31, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Zhu, Bangzhu & Wang, Kefan & Chevallier, Julien & Wang, Ping & Wei, Yi-Ming, 2015.
"Can China achieve its carbon intensity target by 2020 while sustaining economic growth?,"
Ecological Economics, Elsevier, vol. 119(C), pages 209-216.
- Zhu, Bangzhu & Wang, Kefan & Julien Chevallier & Ping Wang & Yi-Ming Wei, 2015. "Can China achieve its carbon intensity target by 2020 while sustaining economic growth?," Post-Print hal-02875959, HAL.
- Xie, Shi-Chen, 2014. "The driving forces of China׳s energy use from 1992 to 2010: An empirical study of input–output and structural decomposition analysis," Energy Policy, Elsevier, vol. 73(C), pages 401-415.
- 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.
- Wang, Ke & Zhang, Xian & Wei, Yi-Ming & Yu, Shiwei, 2013.
"Regional allocation of CO2 emissions allowance over provinces in China by 2020,"
Energy Policy, Elsevier, vol. 54(C), pages 214-229.
- Ke Wang & Xian Zhang & Yi-Ming Wei & Shiwei Yu, 2011. "Regional allocation of CO2 emissions allowance over provinces in China by 2020," CEEP-BIT Working Papers 18, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Yi, Wen-Jing & Zou, Le-Le & Guo, Jie & Wang, Kai & Wei, Yi-Ming, 2011. "How can China reach its CO2 intensity reduction targets by 2020? A regional allocation based on equity and development," Energy Policy, Elsevier, vol. 39(5), pages 2407-2415, May.
- Wu, Jie & Zhu, Qingyuan & Liang, Liang, 2016. "CO2 emissions and energy intensity reduction allocation over provincial industrial sectors in China," Applied Energy, Elsevier, vol. 166(C), pages 282-291.
- Zhang, Youguo, 2009. "Structural decomposition analysis of sources of decarbonizing economic development in China; 1992-2006," Ecological Economics, Elsevier, vol. 68(8-9), pages 2399-2405, June.
- Kejia Yang & Yalin Lei & Weiming Chen & Lingna Liu, 2018. "Carbon dioxide emission reduction quota allocation study on Chinese provinces based on two-stage Shapley information entropy model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(1), pages 321-335, March.
- Zhi-Fu Mi & Yi-Ming Wei & Bing Wang & Jing Meng & Zhu Liu & Yuli Shan & Jingru Liu & Dabo Guan, 2017. "Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030," CEEP-BIT Working Papers 103, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Yue-Jun Zhang & Jun-Fang Hao, 2015. "The allocation of carbon emission intensity reduction target by 2020 among provinces 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. 79(2), pages 921-937, November.
- Shiyi Chen, 2009. "Engine or drag: Can high energy consumption and CO 2 emission drive the sustainable development of Chinese industry?," Frontiers of Economics in China, Springer;Higher Education Press, vol. 4(4), pages 548-571, December.
- Zhang, Ming & Mu, Hailin & Ning, Yadong & Song, Yongchen, 2009. "Decomposition of energy-related CO2 emission over 1991-2006 in China," Ecological Economics, Elsevier, vol. 68(7), pages 2122-2128, May.
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Keywords
Energy conservation and emission reduction; Path selection; Bi-level multi-objective; Optimization model; Win-win situation; Clustering analysis;All these keywords.
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