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Quantitative Analysis of China’s Carbon Emissions Trading Policies: Perspectives of Policy Content Validity and Carbon Emissions Reduction Effect

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  • Juan Luo

    (School of Law, Southwestern University of Finance and Economics, Chengdu 611130, China
    School of Law and Sociology, Xihua University, Chengdu 610039, China)

  • Chong Xu

    (School of Public Administration, Southwestern University of Finance and Economics, Chengdu 611130, China)

  • Boyu Yang

    (School of Law, Southwestern University of Finance and Economics, Chengdu 611130, China)

  • Xiaoyu Chen

    (Mathematical & Physical Sciences, Faculty of Arts & Science, St. George Campus, University of Toronto, Toronto, ON M5S 3G3, Canada)

  • Yinyin Wu

    (School of Public Administration, Southwestern University of Finance and Economics, Chengdu 611130, China)

Abstract

Carbon emissions trading (CET) is now one of China’s key policy tools for achieving the goals of carbon peak and carbon neutrality. To comprehensively explore the consequences of China’s CET policy, the study first evaluated the content validity of CET policies across China’s 31 provinces, autonomous regions, and municipalities falling directly under the central government using policy strengths, tools, and measures from 2011 to 2020. The spatiotemporal drivers of regional carbon efficiency improvements from aspects of actual policy effect, average policy content validity effect, and policy quantity effect were also evaluated via the logarithmic mean Divisia index. This analysis revealed that the policy content validity was increasing in general and was higher in pilot regions. On average, the policy quantity effect was the primary driver of carbon efficiency improvements in both pilot and non-pilot regions, but the actual policy effect failed to promote carbon efficiency in both regions. Beijing’s carbon emissions reduction effect was superior to that of other pilot regions, and where actual policy effect and policy quantity effect were the primary and secondary drivers of local carbon efficiency improvements, respectively. These findings suggest that when formulating CET policies, each region should not only focus on improving policy content validity, but also pay attention to the actual carbon emissions reduction effects produced by policies as well.

Suggested Citation

  • Juan Luo & Chong Xu & Boyu Yang & Xiaoyu Chen & Yinyin Wu, 2022. "Quantitative Analysis of China’s Carbon Emissions Trading Policies: Perspectives of Policy Content Validity and Carbon Emissions Reduction Effect," Energies, MDPI, vol. 15(14), pages 1-20, July.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5123-:d:862721
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    References listed on IDEAS

    as
    1. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    2. Chen, Jiandong & Cheng, Shulei & Song, Malin, 2017. "Decomposing inequality in energy-related CO2 emissions by source and source increment: The roles of production and residential consumption," Energy Policy, Elsevier, vol. 107(C), pages 698-710.
    3. Kong, Yuan & Feng, Chao & Yang, Jun, 2020. "How does China manage its energy market? A perspective of policy evolution," Energy Policy, Elsevier, vol. 147(C).
    4. Chong, Chin Hao & Tan, Wei Xin & Ting, Zhao Jia & Liu, Pei & Ma, Linwei & Li, Zheng & Ni, Weidou, 2019. "The driving factors of energy-related CO2 emission growth in Malaysia: The LMDI decomposition method based on energy allocation analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    5. Li, Zhiguo & Wang, Jie, 2022. "Spatial spillover effect of carbon emission trading on carbon emission reduction: Empirical data from pilot regions in China," Energy, Elsevier, vol. 251(C).
    6. Cai, Bofeng & Cui, Can & Zhang, Da & Cao, Libin & Wu, Pengcheng & Pang, Lingyun & Zhang, Jihong & Dai, Chunyan, 2019. "China city-level greenhouse gas emissions inventory in 2015 and uncertainty analysis," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    7. Zhang, Yue-Jun & Peng, Yu-Lu & Ma, Chao-Qun & Shen, Bo, 2017. "Can environmental innovation facilitate carbon emissions reduction? Evidence from China," Energy Policy, Elsevier, vol. 100(C), pages 18-28.
    8. Danqing Zhang & Guowen Huang & Jiaen Zhang & Xiaoyu Hou & Tianyi Zhou & Xianyuan Chang & Ying Ge & Jie Chang, 2022. "The Evolution of Sustainability Ideas in China from 1946 to 2015, Quantified by Culturomics," Sustainability, MDPI, vol. 14(10), pages 1-12, May.
    9. Guoxing Zhang & Zhenhua Zhang & Xiulin Gao & Lean Yu & Shouyang Wang & Yingluo Wang, 2017. "Impact of Energy Conservation and Emissions Reduction Policy Means Coordination on Economic Growth: Quantitative Evidence from China," Sustainability, MDPI, vol. 9(5), pages 1-19, April.
    10. Hu, Yucai & Ren, Shenggang & Wang, Yangjie & Chen, Xiaohong, 2020. "Can carbon emission trading scheme achieve energy conservation and emission reduction? Evidence from the industrial sector in China," Energy Economics, Elsevier, vol. 85(C).
    11. Wang, Xiaozhen & Zou, Honghui, 2018. "Study on the effect of wind power industry policy types on the innovation performance of different ownership enterprises: Evidence from China," Energy Policy, Elsevier, vol. 122(C), pages 241-252.
    12. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    13. Xing Gao & Keyu Zhai, 2018. "Performance Evaluation on Intellectual Property Rights Policy System of the Renewable Energy in China," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
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