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Spatial heterogeneity and driving forces of environmental productivity growth in China: Would it help to switch pollutant discharge fees to environmental taxes?

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Listed:
  • Jiayu Wang
  • Ke Wang
  • Xunpeng Shi
  • Yi-Ming Wei

Abstract

Emission charge policy has recently switched from pollutant discharge fees to environmental taxes in China. Considering spatial heterogeneity, the effects of changes in emission charge policy may subject to different Chinese regions. In this study, environmental efficiencies of Chinese regions are evaluated through provincial environmentally extended input-output tables and a frontier-based optimization model. Driving factors of environmental productivity growth are identified through global Luenberger productivity decomposition approach. Moreover, spatial heterogeneity on the effects of change in emission charge policy on environment and economy are assessed. Results show that all regions experienced environmental productivity growth. Technology progress is the major driving factor in most regions with an average contribution of 90%, while technical efficiency regress slows environmental productivity growth in Southwest region. Switching from pollutant discharge fees to environmental taxes would decreases emission intensities by 1.42% on average, but it would have different negative impact on economic growth (-1.13%~-4.90% of regional GDP) due to spatially heterogeneous trade-offs between environmental protection and economic development. Addressing such spatial heterogeneity provide not only a basis for diversified tax rate determination but also a framework for other environmental policy assessment.

Suggested Citation

  • Jiayu Wang & Ke Wang & Xunpeng Shi & Yi-Ming Wei, 2019. "Spatial heterogeneity and driving forces of environmental productivity growth in China: Would it help to switch pollutant discharge fees to environmental taxes?," CEEP-BIT Working Papers 123, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    • Handle: RePEc:biw:wpaper:123
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    Citations

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    Cited by:

    1. Djula Borozan, 2021. "Technical Efficiency and Productivity Change in the European Union with Undesirable Output Considered," Energies, MDPI, vol. 14(16), pages 1-15, August.
    2. He, Yu & Zhu, Xiaobo & Zheng, Huan, 2022. "The influence of environmental protection tax law on total factor productivity: Evidence from listed firms in China," Energy Economics, Elsevier, vol. 113(C).
    3. Zhang, Wei & Li, Jing & Li, Guoxiang & Guo, Shucen, 2020. "Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China," Energy, Elsevier, vol. 196(C).
    4. Wen, Lanjiao & Chatalova, Lioudmila & Gao, Xin & Zhang, Anlu, 2021. "Reduction of carbon emissions through resource-saving and environment-friendly regional economic integration: Evidence from Wuhan metropolitan area, China," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    5. Weijia Zhuo, 2023. "Environmental regulation and corporate sustainability: Evidence from green innovation," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(4), pages 1723-1737, July.
    6. Hua, Cheng & Wang, Ke, 2023. "Multi-factor productivity growth with natural capital and undesirable output: A measurement for OECD and G20 countries," Innovation and Green Development, Elsevier, vol. 2(2).
    7. Chen, Shanshan & Zhang, Ruchuan & Li, Peiwen & Li, Aijun, 2023. "How to improve the performance of China's energy-transport-economy-environment system: An analysis based on new strategy parallel-series input-output data envelopment analysis models," Energy, Elsevier, vol. 281(C).
    8. Recep Ulucak & Danish & Yacouba Kassouri, 2020. "An assessment of the environmental sustainability corridor: Investigating the non‐linear effects of environmental taxation on CO2 emissions," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 1010-1018, July.
    9. Hao, Yu & Gai, Zhiqiang & Wu, Haitao, 2020. "How do resource misallocation and government corruption affect green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 143(C).
    10. 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.
    11. Zhong, Mei-Rui & Xiao, Shun-Li & Zou, Han & Zhang, Yi-Jun & Song, Yi, 2021. "The effects of technical change on carbon intensity in China’s non-ferrous metal industry," Resources Policy, Elsevier, vol. 73(C).
    12. Chen, Xiang & Chen, Yong & Huang, Wenli & Zhang, Xuping, 2023. "A new Malmquist-type green total factor productivity measure: An application to China," Energy Economics, Elsevier, vol. 117(C).
    13. Zheng, Shiming & Yao, Rongrong & Zou, Ke, 2022. "Provincial environmental inequality in China: Measurement, influence, and policy instrument choice," Ecological Economics, Elsevier, vol. 200(C).
    14. Lingxiao Zhao & Yunpeng Tang & Yan Liu, 2023. "How Does Environmental Tax Influence the Scale and Efficiency of Green Investment among China’s Heavily Polluting Enterprises?," Sustainability, MDPI, vol. 15(20), pages 1-26, October.
    15. Cheng Peng & Lu Zhao & Liwen Liu & Jia Chen, 2023. "The Influence of Environmental Protection Tax Law on Urban Land Green Use Efficiency in China: The Nonlinear Moderating Effect of Tax Rate Increase," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    16. Xie, Peijun & Jamaani, Fouad, 2022. "Does green innovation, energy productivity and environmental taxes limit carbon emissions in developed economies: Implications for sustainable development," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 66-78.
    17. Susheng Wang & Gang Chen & Xue Han, 2021. "An Analysis of the Impact of the Emissions Trading System on the Green Total Factor Productivity Based on the Spatial Difference-in-Differences Approach: The Case of China," IJERPH, MDPI, vol. 18(17), pages 1-18, August.
    18. Hisham Alidrisi & Mehmet Emin Aydin & Abdullah Omer Bafail & Reda Abdulal & Shoukath Ali Karuvatt, 2019. "Monitoring the Performance of Petrochemical Organizations in Saudi Arabia Using Data Envelopment Analysis," Mathematics, MDPI, vol. 7(6), pages 1-16, June.
    19. Weijiang Liu & Tingting Liu, 2022. "Exploring the Impact and Path of Environmental Protection Tax on Different Air Pollutant Emissions," IJERPH, MDPI, vol. 19(8), pages 1-14, April.
    20. Zhai, Xueqi & An, Yunfei, 2021. "The relationship between technological innovation and green transformation efficiency in China: An empirical analysis using spatial panel data," Technology in Society, Elsevier, vol. 64(C).
    21. Xue Jin & Ussif Rashid Sumaila & Kedong Yin & Zhichao Qi, 2021. "Evaluation of the Policy Effect of China’s Environmental Interview System for Effective Air Quality Governance," IJERPH, MDPI, vol. 18(17), pages 1-20, August.

    More about this item

    Keywords

    environmental efficiency; emission charge policy; productivity decomposition; IOA; DEA;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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