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Environmental Protection Tax and Energy Efficiency: Evidence from Chinese City-Level Data

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  • Junmei Qi

    (School of Accounting, Wuhan Textile University, Wuhan 430200, China)

  • Yi Song

    (School of Economics and Management, China University of Geosciences (Wuhan), Wuhan 430078, China)

  • Yijun Zhang

    (School of Economics and Management, China University of Geosciences (Wuhan), Wuhan 430078, China)

Abstract

The aggravated global warming and energy crisis have greatly challenged the healthy and sustainable development of society worldwide. Improving energy efficiency is one of the vital ways to overcome the dilemma. Existing studies explore the impact of environmental regulation on energy efficiency; however, the potential impact of the environmental protection tax (EPT) on urban energy efficiency has received little attention. Using the panel dataset of 278 Chinese cities from 2011 to 2019, the unified efficiency index (UEI) based on a total non-radial directional distance function (TNDDF) is first used to calculate urban energy efficiency. A difference-in-differences (DIDs) model is conducted to explore the impact of the EPT policy on the urban UEI and its potential mechanisms. The findings indicate that: (1) The average UEI in cities experienced an uptrend and a downtrend during 2011–2019. The overall UEI levels were low, especially in Jiaxiaguan, Tianshui, and Huyang cities. (2) The EPT policy significantly increases energy efficiency for the heavily polluting cities by approximately 5.21% more than that of the non-heavily polluting cities. (3) Heterogeneity analysis shows that EPT has a better effect on improving UEI in higher-level economic and non-resource-based cities. (4) Mechanism analysis implies that EPT boosts the urban UEI by stimulating urban green technology innovation, upgrading the industrial structure, and introducing foreign direct investment. This study offers empirical evidence and implications for policymakers using EPT to achieve higher urban energy efficiency and sustainable targets.

Suggested Citation

  • Junmei Qi & Yi Song & Yijun Zhang, 2023. "Environmental Protection Tax and Energy Efficiency: Evidence from Chinese City-Level Data," Energies, MDPI, vol. 16(24), pages 1-24, December.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:24:p:8104-:d:1301668
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    References listed on IDEAS

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    1. Sen, Suphi & Vollebergh, Herman, 2018. "The effectiveness of taxing the carbon content of energy consumption," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 74-99.
    2. Shuai Shao, Zhenbing Yang, Lili Yang, and Shuang Ma, 2019. "Can China's Energy Intensity Constraint Policy Promote Total Factor Energy Efficiency? Evidence from the Industrial Sector," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    3. Da Gao & Xinlin Mo & Ruochan Xiong & Zhiliang Huang, 2022. "Tax Policy and Total Factor Carbon Emission Efficiency: Evidence from China’s VAT Reform," IJERPH, MDPI, vol. 19(15), pages 1-17, July.
    4. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    5. Werner Antweiler & Brian R. Copeland & M. Scott Taylor, 2001. "Is Free Trade Good for the Environment?," American Economic Review, American Economic Association, vol. 91(4), pages 877-908, September.
    6. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    7. Wang, Miao & Feng, Chao, 2021. "The win-win ability of environmental protection and economic development during China's transition," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    8. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency," European Journal of Operational Research, Elsevier, vol. 200(1), pages 320-322, January.
    9. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    10. Wenjie Chen & Xiaogang Wu & Zhu Xiao, 2023. "Impact of Environmental Policy Mix on Carbon Emission Reduction and Social Welfare: Scenario Simulation Based on Private Vehicle Trajectory Big Data," Energies, MDPI, vol. 16(15), pages 1-18, August.
    11. Xuemei Xie & Qiwei Zhu & Ruoyi Wang, 2019. "Turning green subsidies into sustainability: How green process innovation improves firms' green image," Business Strategy and the Environment, Wiley Blackwell, vol. 28(7), pages 1416-1433, November.
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