IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i14p5123-d862721.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/14/5123/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/14/5123/
    Download Restriction: no
    ---><---

    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. 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).
    3. 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).
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Yu, Xiaolin & Wan, Kai & Du, Qunyang, 2023. "Can carbon market policies achieve a “point-to-surface” effect?—Quasi-experimental evidence from China," Energy Policy, Elsevier, vol. 183(C).
    3. Robi Kurniawan & Gregory P. Trencher & Achmed S. Edianto & Imam E. Setiawan & Kazuyo Matsubae, 2020. "Understanding the Multi-Faceted Drivers of Increasing Coal Consumption in Indonesia," Energies, MDPI, vol. 13(14), pages 1-22, July.
    4. Lin, Yuancheng & Ma, Linwei & Li, Zheng & Ni, Weidou, 2023. "The carbon reduction potential by improving technical efficiency from energy sources to final services in China: An extended Kaya identity analysis," Energy, Elsevier, vol. 263(PE).
    5. Yuancheng Lin & Chinhao Chong & Linwei Ma & Zheng Li & Weidou Ni, 2021. "Analysis of Changes in the Aggregate Exergy Efficiency of China’s Energy System from 2005 to 2015," Energies, MDPI, vol. 14(8), pages 1-27, April.
    6. 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).
    7. Chen, Jiandong & Cheng, Shulei & Song, Malin, 2018. "Changes in energy-related carbon dioxide emissions of the agricultural sector in China from 2005 to 2013," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 748-761.
    8. Cansino, José M. & Román-Collado, Rocío & Merchán, José, 2019. "Do Spanish energy efficiency actions trigger JEVON’S paradox?," Energy, Elsevier, vol. 181(C), pages 760-770.
    9. Banie Naser Outchiri, 2020. "Contributing to better energy and environmental analyses: how accurate are decomposition analysis results?," Cahiers de recherche 20-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    10. Zhichun Yu & Yanjiao Wan, 2023. "Can the Growth of the Digital Economy Be Beneficial for Urban Decarbonization? A Study from Chinese Cities," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    11. Xiaoshu Cao & Shishu OuYang & Dan Liu & Wenyue Yang, 2019. "Spatiotemporal Patterns and Decomposition Analysis of CO 2 Emissions from Transportation in the Pearl River Delta," Energies, MDPI, vol. 12(11), pages 1-17, June.
    12. Kaltenegger, Oliver, 2019. "What drives total real unit energy costs globally? A novel LMDI decomposition approach," CAWM Discussion Papers 110, University of Münster, Münster Center for Economic Policy (MEP).
    13. Du, Mengfan & Zhang, Yue-Jun, 2023. "The impact of producer services agglomeration on green economic development: Evidence from 278 Chinese cities," Energy Economics, Elsevier, vol. 124(C).
    14. Song, Xiang & Wang, Dingyu & Zhang, Xuantao & He, Yuan & Wang, Yong, 2022. "A comparison of the operation of China's carbon trading market and energy market and their spillover effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    15. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    16. Feng Dong & Jingyun Li & Yue-Jun Zhang & Ying Wang, 2018. "Drivers Analysis of CO 2 Emissions from the Perspective of Carbon Density: The Case of Shandong Province, China," IJERPH, MDPI, vol. 15(8), pages 1-24, August.
    17. Xue-Ting Jiang & Min Su & Rongrong Li, 2018. "Decomposition Analysis in Electricity Sector Output from Carbon Emissions in China," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    18. Jincai Zhao & Qianqian Liu, 2021. "Examining the Driving Factors of Urban Residential Carbon Intensity Using the LMDI Method: Evidence from China’s County-Level Cities," IJERPH, MDPI, vol. 18(8), pages 1-18, April.
    19. 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).
    20. Wang, H. & Ang, B.W. & Su, Bin, 2017. "A Multi-region Structural Decomposition Analysis of Global CO2 Emission Intensity," Ecological Economics, Elsevier, vol. 142(C), pages 163-176.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5123-:d:862721. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.