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An inter-provincial carbon quota study in China based on the contribution of clean energy to carbon reduction

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  • Shi, Wei
  • Li, Wei
  • Qiao, Fuwei
  • Wang, Weijuan
  • An, Yi
  • Zhang, Guowei

Abstract

Energy consumption is the main source of carbon dioxide emissions. Vigorously promoting the development and utilisation of clean energy and the reasonable distribution of carbon amounts between regions is an important measure for carbon emission reduction. In this paper, the geodetector method is used to quantitatively analyse the impact of the development and utilisation of clean energy on China’s overall carbon emissions. And the carbon quota calculated under the three principles of efficiency, responsibility, and comprehensiveness are compared, and a reasonable inter-provincial carbon quota allocation scheme considering the contribution of clean energy carbon reduction is put forward. Research indicates: (1) Among the driving factors studied in this paper, the proportion of clean energy power generation has the greatest impact on carbon emissions. (2) The development and utilisation of clean energy has a strong impact on the carbon quota in low-value regions. (3) The comprehensive principle carbon quota allocation (which takes into responsibility principle reflecting clean energy factors and efficiency principle) is the most reasonable. A carbon quota scheme that reflects the contribution of clean energy to carbon emission reduction is of great significance for advancing the realization of China's regional and national carbon peaking targets.

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  • Shi, Wei & Li, Wei & Qiao, Fuwei & Wang, Weijuan & An, Yi & Zhang, Guowei, 2023. "An inter-provincial carbon quota study in China based on the contribution of clean energy to carbon reduction," Energy Policy, Elsevier, vol. 182(C).
    • Handle: RePEc:eee:enepol:v:182:y:2023:i:c:s0301421523003555
    DOI: 10.1016/j.enpol.2023.113770
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    1. Grübler, Arnulf & Fujii, Yasumasa, 1991. "Inter-generational and spatial equity issues of carbon accounts," Energy, Elsevier, vol. 16(11), pages 1397-1416.
    2. Zhang, Wei & Li, Jing & Li, Guoxiang & Guo, Shucen, 2020. "Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China," Energy, Elsevier, vol. 196(C).
    3. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    4. Lange, Andreas & Vogt, Carsten & Ziegler, Andreas, 2007. "On the importance of equity in international climate policy: An empirical analysis," Energy Economics, Elsevier, vol. 29(3), pages 545-562, May.
    5. 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).
    6. 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.
    7. E G Gomes & M P E Lins, 2008. "Modelling undesirable outputs with zero sum gains data envelopment analysis models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 616-623, May.
    8. Lu, Liwei & Preckel, Paul V. & Gotham, Douglas & Liu, Andrew L., 2016. "An assessment of alternative carbon mitigation policies for achieving the emissions reduction of the Clean Power Plan: Case study for the state of Indiana," Energy Policy, Elsevier, vol. 96(C), pages 661-672.
    9. Lins, Marcos P. Estellita & Gomes, Eliane G. & Soares de Mello, Joao Carlos C. B. & Soares de Mello, Adelino Jose R., 2003. "Olympic ranking based on a zero sum gains DEA model," European Journal of Operational Research, Elsevier, vol. 148(2), pages 312-322, July.
    10. Wang, Ailun & Hu, Shuo & Lin, Boqiang, 2021. "Emission abatement cost in China with consideration of technological heterogeneity," Applied Energy, Elsevier, vol. 290(C).
    11. 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).
    12. 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.
    13. Minxing Jiang & Bangzhu Zhu & Julien Chevallier & Rui Xie, 2018. "Allocating provincial CO2 quotas for the Chinese national carbon program," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(3), pages 457-479, July.
    14. Yu-Jie Hu & Rong Han & Bao-Jun Tang, 2017. "Research on the initial allocation of carbon emission quotas: evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 1189-1208, January.
    15. Fang, Kai & Zhang, Qifeng & Long, Yin & Yoshida, Yoshikuni & Sun, Lu & Zhang, Haoran & Dou, Yi & Li, Shuai, 2019. "How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China’s carbon emission allowance," Applied Energy, Elsevier, vol. 241(C), pages 380-389.
    16. Neumayer, Eric, 2000. "In defence of historical accountability for greenhouse gas emissions," Ecological Economics, Elsevier, vol. 33(2), pages 185-192, May.
    17. 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.
    18. Wei, Yi-Ming & Wang, Lu & Liao, Hua & Wang, Ke & Murty, Tad & Yan, Jinyue, 2014. "Responsibility accounting in carbon allocation: A global perspective," Applied Energy, Elsevier, vol. 130(C), pages 122-133.
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