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Environmental regulation and carbon emission efficiency: Evidence from pollution levy standards adjustment in China

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  • Yi He
  • Xiang Zhang
  • Qinghua Xie

Abstract

China’s economy experienced great growth, which also induces large carbon emission. Facing the target of “Carbon peak, Carbon neutrality” in China, it is vital to improve the carbon emission efficiency. Employing the spatial Difference-in-Differences model, this paper investigates the impact of environmental regulation on carbon emission efficiency with a quasi-natural experiment of Pollution Levy Standards Adjustment in China. Our empirical results show that the environmental regulation can significantly improve the carbon emission efficiency. moreover, two impact channels are explored: green innovation and industrial upgrading. More specifically, the green innovation increases with environmental regulation, and the increased green innovation improves carbon emission efficiency. The industry upgrading increases with environmental regulation, and the increased industry upgrading improves carbon emission efficiency. Finally, in terms of city heterogeneity, we find that the impact of environmental regulation will be more pronounced for larger cities and resource-based cities. Our findings suggest that the environmental regulation must be enhanced for both smaller cities and non-resource-based cities. Moreover, to promote the green innovation of firms, since green innovation is risky and costly, governments should provide more subsidies or grants on corporate green technologies, thus firms will be motivated to invest in green technologies to reduce carbon emission.

Suggested Citation

  • Yi He & Xiang Zhang & Qinghua Xie, 2024. "Environmental regulation and carbon emission efficiency: Evidence from pollution levy standards adjustment in China," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-22, February.
  • Handle: RePEc:plo:pone00:0296642
    DOI: 10.1371/journal.pone.0296642
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    as
    1. Michael Greenstone & Rema Hanna, 2014. "Environmental Regulations, Air and Water Pollution, and Infant Mortality in India," American Economic Review, American Economic Association, vol. 104(10), pages 3038-3072, October.
    2. Kang, Jijun & Yu, Chenyang & Xue, Rui & Yang, Dong & Shan, Yuli, 2022. "Can regional integration narrow city-level energy efficiency gap in China?," Energy Policy, Elsevier, vol. 163(C).
    3. Zhang, Xiang & Zhou, Han, 2022. "The effect of market competition on corporate cash holdings: An analysis of corporate innovation and financial constraint," International Review of Financial Analysis, Elsevier, vol. 82(C).
    4. Kuang, Hewu & Akmal, Zeeshan & Li, Feifei, 2022. "Measuring the effects of green technology innovations and renewable energy investment for reducing carbon emissions in China," Renewable Energy, Elsevier, vol. 197(C), pages 1-10.
    5. Filippini, Massimo & Hunt, Lester C., 2015. "Measurement of energy efficiency based on economic foundations," Energy Economics, Elsevier, vol. 52(S1), pages 5-16.
    6. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    7. Cosimo Magazzino, 2017. "The relationship among economic growth, CO2 emissions, and energy use in the APEC countries: a panel VAR approach," Environment Systems and Decisions, Springer, vol. 37(3), pages 353-366, September.
    8. Zhang, Xiang & Zhan, Feng & Liu, Bin, 2023. "Institutional development, political uncertainty, and corporate cash holdings: Evidence from China," Finance Research Letters, Elsevier, vol. 53(C).
    9. Lin, Boqiang & Ma, Ruiyang, 2022. "Green technology innovations, urban innovation environment and CO2 emission reduction in China: Fresh evidence from a partially linear functional-coefficient panel model," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    10. Su, Yi & Fan, Qi-ming, 2022. "Renewable energy technology innovation, industrial structure upgrading and green development from the perspective of China's provinces," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    11. Qiu, Rui & Xu, Jiuping & Zeng, Ziqiang & Chen, Xin & Wang, Yinhai, 2022. "Carbon tax policy-induced air travel carbon emission reduction and biofuel usage in China," Journal of Air Transport Management, Elsevier, vol. 103(C).
    12. Neves, Sónia Almeida & Marques, António Cardoso & Patrício, Margarida, 2020. "Determinants of CO2 emissions in European Union countries: Does environmental regulation reduce environmental pollution?," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 114-125.
    13. You, Jianmin & Zhang, Wei, 2022. "How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China's industries," Energy, Elsevier, vol. 247(C).
    14. Ai, Hongshan & Tan, Xiaoqing & Zhou, Shengwen & Zhou, Yuhan & Xing, Hongye, 2023. "The impact of environmental regulation on carbon emissions: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1067-1079.
    15. Zhao, Min & Sun, Tao, 2022. "Dynamic spatial spillover effect of new energy vehicle industry policies on carbon emission of transportation sector in China," Energy Policy, Elsevier, vol. 165(C).
    16. Li, Yaya & Zhang, Yuru & Pan, An & Han, Minchun & Veglianti, Eleonora, 2022. "Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms," Technology in Society, Elsevier, vol. 70(C).
    17. Bai, Hanyu & Irfan, Muhammad & Hao, Yu, 2022. "How does industrial transfer affect environmental quality? Evidence from China," Journal of Asian Economics, Elsevier, vol. 82(C).
    18. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    19. Dong, Kangyin & Shahbaz, Muhammad & Zhao, Jun, 2022. "How do pollution fees affect environmental quality in China?," Energy Policy, Elsevier, vol. 160(C).
    20. Zhang, Weike & Luo, Qian & Liu, Shiyuan, 2022. "Is government regulation a push for corporate environmental performance? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 105-121.
    21. Zhichuan Zhu & Bo Liu & Zhuoxi Yu & Jianhong Cao, 2022. "Effects of the Digital Economy on Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    22. Yaya Li & Yuru Zhang & An Pan & Minchun Han & Eleonora Veglianti, 2022. "Carbon emission reduction effects of industrial robot applications: Heterogeneity characteristics and influencing mechanisms," Post-Print hal-04522085, HAL.
    23. Hua, Zhongsheng & Bian, Yiwen & Liang, Liang, 2007. "Eco-efficiency analysis of paper mills along the Huai River: An extended DEA approach," Omega, Elsevier, vol. 35(5), pages 578-587, October.
    24. Yu, Chenyang & Tan, Yuanfang & Zhou, Yu & Zang, Chuanxiang & Tu, Chenglin, 2022. "Can functional urban specialization improve industrial energy efficiency? Empirical evidence from China," Energy, Elsevier, vol. 261(PA).
    25. Yi, Ming & Liu, Yafen & Sheng, Mingyue Selena & Wen, Le, 2022. "Effects of digital economy on carbon emission reduction: New evidence from China," Energy Policy, Elsevier, vol. 171(C).
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