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The Classification Impact of Different Types of Environmental Regulation on Chinese Provincial Carbon Emission Efficiency

Author

Listed:
  • Feifei Ye

    (School of Cultural Tourism and Public Administration, Fujian Normal University, Fuzhou 350117, China)

  • Rongyan You

    (School of Cultural Tourism and Public Administration, Fujian Normal University, Fuzhou 350117, China)

  • Haitian Lu

    (School of Accounting and Finance, The Hong Kong Polytechnic University, Hong Kong 999077, China)

  • Sirui Han

    (School of Accounting and Finance, The Hong Kong Polytechnic University, Hong Kong 999077, China)

  • Long-Hao Yang

    (School of Economics and Management, Fuzhou University, Fuzhou 350116, China
    Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China)

Abstract

The evaluation of inter-provincial carbon emission efficiency and the analysis of its influencing factors hold great practical significance for reducing carbon emissions and promoting sustainable development in ecological management. To address the shortcomings of existing research in the classification evaluation of carbon emission efficiency and account for the impacts of different environmental regulatory policies on carbon emissions, this paper aims to examine the impact of formal and informal environmental regulations on carbon emission efficiency. This is accomplished by utilizing a combination of the data envelopment analysis (DEA) model, entropy weighting, and k-means cluster analysis methods. The fixed-effects model is also applied to examine the influences of different factors on carbon emission efficiency under different categories. To conduct the case studies, carbon emission management data from 30 provinces in China are collected, and the results show the following: (1) Formal environmental regulations exhibit a “U-shaped” relationship with carbon emission efficiency, whereas informal environmental regulations have an “inverted U-shaped” relationship with carbon emission efficiency. (2) Under the cluster analysis of carbon emission efficiency, formal environmental regulations are found to have a stronger incentive effect on inter-provincial carbon efficiency compared to informal environmental regulations. This study carries significant theoretical and practical implications for China’s timely attainment of its double-carbon target.

Suggested Citation

  • Feifei Ye & Rongyan You & Haitian Lu & Sirui Han & Long-Hao Yang, 2023. "The Classification Impact of Different Types of Environmental Regulation on Chinese Provincial Carbon Emission Efficiency," Sustainability, MDPI, vol. 15(15), pages 1-24, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:12092-:d:1212347
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    References listed on IDEAS

    as
    1. Kedong Yin & Lu Liu & Haolei Gu, 2022. "Green Paradox or Forced Emission Reduction—The Dual Effects of Environmental Regulation on Carbon Emissions," IJERPH, MDPI, vol. 19(17), pages 1-15, September.
    2. Shi Wang & Hua Wang & Li Zhang & Jun Dang, 2019. "Provincial Carbon Emissions Efficiency and Its Influencing Factors in China," Sustainability, MDPI, vol. 11(8), pages 1-21, April.
    3. Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity and intermediate products: A frontier approach," Economics Letters, Elsevier, vol. 50(1), pages 65-70, January.
    4. Qiao Chen & Yan Mao & Alastair M. Morrison, 2021. "Impacts of Environmental Regulations on Tourism Carbon Emissions," IJERPH, MDPI, vol. 18(23), pages 1-16, December.
    5. Adler, Nicole & Volta, Nicola, 2016. "Accounting for externalities and disposability: A directional economic environmental distance function," European Journal of Operational Research, Elsevier, vol. 250(1), pages 314-327.
    6. Cormier, Denis & Magnan, Michel, 1997. "Investors' assessment of implicit environmental liabilities: An empirical investigation," Journal of Accounting and Public Policy, Elsevier, vol. 16(2), pages 215-241.
    7. Pargal, Sheoli & Wheeler, David, 1996. "Informal Regulation of Industrial Pollution in Developing Countries: Evidence from Indonesia," Journal of Political Economy, University of Chicago Press, vol. 104(6), pages 1314-1327, December.
    8. José Féres & Arnaud Reynaud, 2012. "Assessing the Impact of Formal and Informal Regulations on Environmental and Economic Performance of Brazilian Manufacturing Firms," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(1), pages 65-85, May.
    9. Wurlod, Jules-Daniel & Noailly, Joëlle, 2018. "The impact of green innovation on energy intensity: An empirical analysis for 14 industrial sectors in OECD countries," Energy Economics, Elsevier, vol. 71(C), pages 47-61.
    10. Costantini, Valeria & Crespi, Francesco, 2008. "Environmental regulation and the export dynamics of energy technologies," Ecological Economics, Elsevier, vol. 66(2-3), pages 447-460, June.
    11. Bin Fan & Mingyang Li, 2022. "The Effect of Heterogeneous Environmental Regulations on Carbon Emission Efficiency of the Grain Production Industry: Evidence from China’s Inter-Provincial Panel Data," Sustainability, MDPI, vol. 14(21), pages 1-27, November.
    12. Liang Chen & Wanli Li & Kaibin Yuan & Xiaoqian Zhang, 2022. "Can informal environmental regulation promote industrial structure upgrading? Evidence from China," Applied Economics, Taylor & Francis Journals, vol. 54(19), pages 2161-2180, April.
    13. Xie, Rong-hui & Yuan, Yi-jun & Huang, Jing-jing, 2017. "Different Types of Environmental Regulations and Heterogeneous Influence on “Green” Productivity: Evidence from China," Ecological Economics, Elsevier, vol. 132(C), pages 104-112.
    14. Danmeng Wang & Shilin Li & Shynggys Toktarbek & Nueryia Jiakula & Ping Ma & Yongzhong Feng, 2022. "Research on the Coordination between Agricultural Production and Environmental Protection in Kazakhstan Based on the Rationality of the Objective Weighting Method," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    15. Fei-Fei Ye & Ying-Ming Wang, 2019. "The effects of two types of environmental regulations on economic efficiency: An analysis of Chinese industries," Energy & Environment, , vol. 30(5), pages 898-929, August.
    16. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "Weak and strong disposability vs. natural and managerial disposability in DEA environmental assessment: Comparison between Japanese electric power industry and manufacturing industries," Energy Economics, Elsevier, vol. 34(3), pages 686-699.
    17. Xiaodong Hu & Ximing Zhang & Lei Dong & Hujun Li & Zheng He & Huihua Chen, 2022. "Carbon Emission Factors Identification and Measurement Model Construction for Railway Construction Projects," IJERPH, MDPI, vol. 19(18), pages 1-20, September.
    18. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    19. Zhang, Guoxing & Deng, Nana & Mou, Haizhen & Zhang, Zhe George & Chen, Xiaofeng, 2019. "The impact of the policy and behavior of public participation on environmental governance performance: Empirical analysis based on provincial panel data in China," Energy Policy, Elsevier, vol. 129(C), pages 1347-1354.
    20. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    21. Bei Xiong & Ruimei Wang, 2020. "Effect of Environmental Regulation on Industrial Solid Waste Pollution in China: From the Perspective of Formal Environmental Regulation and Informal Environmental Regulation," IJERPH, MDPI, vol. 17(21), pages 1-17, October.
    22. Hans-Werner Sinn, 2008. "Public policies against global warming: a supply side approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 15(4), pages 360-394, August.
    23. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    24. Yang, Hongliang & Pollitt, Michael, 2010. "The necessity of distinguishing weak and strong disposability among undesirable outputs in DEA: Environmental performance of Chinese coal-fired power plants," Energy Policy, Elsevier, vol. 38(8), pages 4440-4444, August.
    25. Mehdi Soltanifar & Hamid Sharafi, 2022. "A modified DEA cross efficiency method with negative data and its application in supplier selection," Journal of Combinatorial Optimization, Springer, vol. 43(1), pages 265-296, January.
    26. Claudia Schwirplies & Andreas Ziegler, 2016. "Offset carbon emissions or pay a price premium for avoiding them? A cross-country analysis of motives for climate protection activities," Applied Economics, Taylor & Francis Journals, vol. 48(9), pages 746-758, February.
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