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Can “environmental protection fee to tax” reduce carbon emissions? Evidence from China

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  • Du, Jiangze
  • Li, Zhiwei
  • Shi, Guoping
  • Wang, Bin

Abstract

This paper investigates the impact of “environmental protection fee to tax” policy on carbon emissions, officially implemented on January 1, 2018 in China. Using a novel dataset covering Chinese firms from 2015 to 2020, our findings reveal a significant reduction in carbon emissions attributable to the “environmental protection fee to tax” policy. Additional analysis suggests that enhancing green technological innovation and executives environmental awareness can facilitate the positive impacts of “environmental protection fee to tax” policy on carbon emissions. Notably, heterogeneity tests underscore that the policy's adverse effects are more pronounced among non-state-owned enterprises, companies located in eastern regions, and small-scale enterprises in China.

Suggested Citation

  • Du, Jiangze & Li, Zhiwei & Shi, Guoping & Wang, Bin, 2024. "Can “environmental protection fee to tax” reduce carbon emissions? Evidence from China," Finance Research Letters, Elsevier, vol. 62(PB).
    • Handle: RePEc:eee:finlet:v:62:y:2024:i:pb:s1544612324002149
    DOI: 10.1016/j.frl.2024.105184
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    1. Greening, Lorna A., 2004. "Effects of human behavior on aggregate carbon intensity of personal transportation: comparison of 10 OECD countries for the period 1970-1993," Energy Economics, Elsevier, vol. 26(1), pages 1-30, January.
    2. Liangen Zeng & Haiyan Lu & Yenping Liu & Yang Zhou & Haoyu Hu, 2019. "Analysis of Regional Differences and Influencing Factors on China’s Carbon Emission Efficiency in 2005–2015," Energies, MDPI, vol. 12(16), pages 1-21, August.
    3. Cui, Xinghua & Xu, Ning & Yan, Xiangwu & Zhang, Wenjie, 2023. "How does social credit system constructions affect corporate carbon emissions? Empirical evidence from Chinese listed companies," Economics Letters, Elsevier, vol. 231(C).
    4. Greening, Lorna A. & Ting, Michael & Krackler, Thomas J., 2001. "Effects of changes in residential end-uses and behavior on aggregate carbon intensity: comparison of 10 OECD countries for the period 1970 through 1993," Energy Economics, Elsevier, vol. 23(2), pages 153-178, March.
    5. Jorge Rivera & Peter Leon, 2005. "Chief executive officers and voluntary environmental performance: Costa Rica's certification for sustainable tourism," Policy Sciences, Springer;Society of Policy Sciences, vol. 38(2), pages 107-127, September.
    6. Perera, Kasun & Kuruppuarachchi, Duminda & Kumarasinghe, Sriyalatha & Suleman, Muhammad Tahir, 2023. "The impact of carbon disclosure and carbon emissions intensity on firms' idiosyncratic volatility," Energy Economics, Elsevier, vol. 128(C).
    7. Bhattacharyya, Subhes C. & Matsumura, Wataru, 2010. "Changes in the GHG emission intensity in EU-15: Lessons from a decomposition analysis," Energy, Elsevier, vol. 35(8), pages 3315-3322.
    8. Xu, Jie & Chen, Fu & Zhang, Weiwei & Liu, Yiting & Li, Tingting, 2023. "Analysis of the carbon emission reduction effect of Fintech and the transmission channel of green finance," Finance Research Letters, Elsevier, vol. 56(C).
    9. Shang, Yuping & Raza, Syed Ali & Huo, Zhe & Shahzad, Umer & Zhao, Xin, 2023. "Does enterprise digital transformation contribute to the carbon emission reduction? Micro-level evidence from China," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 1-13.
    10. Liu, Guangqiang & Yang, Zhiqing & Zhang, Fan & Zhang, Nan, 2022. "Environmental tax reform and environmental investment: A quasi-natural experiment based on China's Environmental Protection Tax Law," Energy Economics, Elsevier, vol. 109(C).
    11. 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.
    12. Sarah Kaplan, 2011. "Research in Cognition and Strategy: Reflections on Two Decades of Progress and a Look to the Future," Journal of Management Studies, Wiley Blackwell, vol. 48(3), pages 665-695, May.
    13. Wang, Shaojian & Zeng, Jingyuan & Liu, Xiaoping, 2019. "Examining the multiple impacts of technological progress on CO2 emissions in China: A panel quantile regression approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 140-150.
    14. Larelle Chapple & Peter M. Clarkson & Daniel L. Gold, 2013. "The Cost of Carbon: Capital Market Effects of the Proposed Emission Trading Scheme ( ETS )," Abacus, Accounting Foundation, University of Sydney, vol. 49(1), pages 1-33, March.
    15. Ding, Xin & Li, Jingshan & Song, Tiantian & Ding, Chenyang & Tan, Wenhao, 2023. "Does carbon emission of firms aggravate the risk of financial distress? Evidence from China," Finance Research Letters, Elsevier, vol. 56(C).
    16. Xie, Linlin & Zuo, Shiyue & Xie, Ziqin, 2023. "Environmental protection fee-to-tax and enterprise investment efficiency: Evidence from China," Research in International Business and Finance, Elsevier, vol. 66(C).
    Full references (including those not matched with items on IDEAS)

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