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A cost–benefit analysis of the environmental taxation policy in China: A frontier analysis‐based environmentally extended input–output optimization method

Author

Listed:
  • Ke Wang
  • Jiayu Wang
  • Klaus Hubacek
  • Zhifu Mi
  • Yi‐Ming Wei
Abstract
China's high‐speed economic development and reliance on overconsumption of natural resources have led to serious environmental pollution. Environmental taxation is seen as an effective economic tool to help mitigate air pollution. In order to assess the effects of different scenarios of environmental taxation policies, we propose a frontier‐based environmentally extended input–output optimization model with explicit emission abatement sectors to reflect the inputs and benefits of abatement. Frontier analysis ensures policy scenarios are assessed under the same technical efficiency benchmark, while input–output analysis depicts the wide range of economic transactions among sectors of an economy. Four scenarios are considered in this study, which are increasing specific tax rates of SO2, NOx, and soot and dust separately and increasing all three tax rates simultaneously. Our estimation results show that: raising tax rates of SO2, NOx, and soot and dust simultaneously would have the highest emission reduction effects, with the SO2 tax rate making the greatest contribution to emission reduction. Raising the soot and dust tax rate is the most environmentally friendly strategy due to its highest abatement to welfare through avoided health costs. The combination of frontier analysis and input–output analysis provides policy makers a comprehensive and sectoral approach to assess costs and benefits of environmental taxation.

Suggested Citation

  • Ke Wang & Jiayu Wang & Klaus Hubacek & Zhifu Mi & Yi‐Ming Wei, 2020. "A cost–benefit analysis of the environmental taxation policy in China: A frontier analysis‐based environmentally extended input–output optimization method," Journal of Industrial Ecology, Yale University, vol. 24(3), pages 564-576, June.
    • Handle: RePEc:bla:inecol:v:24:y:2020:i:3:p:564-576
    DOI: 10.1111/jiec.12947
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    References listed on IDEAS

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    Cited by:

    1. Liu, Fangmei & Li, Li & Liang, Gemin & Huang, Liqiao & Gao, Wei, 2022. "National water footprints and embodied environmental consequences of major economic sectors-a case study of Japan," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 30-46.
    2. Xianning Wang & Zhengang Ma & Jiusheng Chen & Jingrong Dong, 2023. "Can Regional Eco-Efficiency Forecast the Changes in Local Public Health: Evidence Based on Statistical Learning in China," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    3. Wang, Yizhong & Jeong, Sujong & Hang, Ye & Wang, Qunwei, 2024. "Multi-sector environmental efficiency and productivity: A general Leontief optimization method," Omega, Elsevier, vol. 126(C).
    4. Tiemei Yan & Tong Zhang & Zhanguo Zhu, 2023. "The Environmental Tax Scheme in China’s Large-Scale Pig Farming: Balancing Economic Burden and Responsibility," Agriculture, MDPI, vol. 13(8), pages 1-20, August.
    5. Caihua Zhou & Xinmin Zhang, 2020. "Measuring the Efficiency of Fiscal Policies for Environmental Pollution Control and the Spatial Effect of Fiscal Decentralization in China," IJERPH, MDPI, vol. 17(23), pages 1-19, December.
    6. Yingbin Zhou & Siqi Lv & Jianlin Wang & Junbo Tong & Zhong Fang, 2022. "The Impact of Green Taxes on the Carbon Emission Efficiency of China’s Construction Industry," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    7. Delgado, Francisco J. & Freire-González, Jaume & Presno, Maria J., 2022. "Environmental taxation in the European Union: Are there common trends?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 670-682.

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