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Does the Energy-Consumption Permit Trading Scheme Improve Carbon Emission Performance? Evidence from a Quasi-Natural Experiment in China

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  • Qi He

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China)

  • Hongli Jiang

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China)

Abstract

The Chinese government launched the Energy-Consumption Permit Trading Scheme (ECPT) in 2016 as a pilot policy initiative to achieve energy conservation and emissions reduction goals. To generate a quasi-natural experiment, this study used a difference-in-differences (DID) approach with panel data from 2006 to 2020 in China. The goal was to explore the impact of the ECPT policy on the carbon emission performance (CEP) as well as analyze the underlying influence processes. The findings indicate that applying the ECPT has a considerable positive influence on the CEP. In comparison to provinces that did not engage in the pilot program, those that did reported a 4.5% improvement in CEP. We can safely declare that the results remain consistent and trustworthy after undergoing a battery of rigorous tests to assess the robustness of our findings. The mechanism’s evaluation revealed that the ECPT has the potential to improve the CEP, mostly via changing energy consumption patterns and stimulating technological innovation. Furthermore, when we considered heterogeneity, we discovered that factors such as geographical location, the level of green financing development, and the level of environmental regulation may affect the ECPT policy effects.

Suggested Citation

  • Qi He & Hongli Jiang, 2024. "Does the Energy-Consumption Permit Trading Scheme Improve Carbon Emission Performance? Evidence from a Quasi-Natural Experiment in China," Sustainability, MDPI, vol. 16(1), pages 1-27, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:1:p:466-:d:1313411
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    References listed on IDEAS

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    1. Yang, Zhenbing & Shao, Shuai & Xu, Lili & Yang, Lili, 2022. "Can regional development plans promote economic growth? City-level evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    2. Fang, Guochang & Gao, Zhengye & Tian, Lixin & Fu, Min, 2022. "What drives urban carbon emission efficiency? – Spatial analysis based on nighttime light data," Applied Energy, Elsevier, vol. 312(C).
    3. Zhang, Yanfang & Gao, Qi & Wei, Jinpeng & Shi, Xunpeng & Zhou, Dequn, 2023. "Can China's energy-consumption permit trading scheme achieve the “Porter” effect? Evidence from an estimated DSGE model," Energy Policy, Elsevier, vol. 180(C).
    4. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "A survey of data envelopment analysis in energy and environmental studies," European Journal of Operational Research, Elsevier, vol. 189(1), pages 1-18, August.
    5. Zhang, Yanfang & Guo, Siyuan & Shi, Xunpeng & Qian, Xiangyan & Nie, Rui, 2021. "A market instrument to achieve carbon neutrality: Is China’s energy-consumption permit trading scheme effective?," Applied Energy, Elsevier, vol. 299(C).
    6. Ma, Guangcheng & Qin, Jiahong & Zhang, Yumeng, 2023. "Does the carbon emissions trading system reduce carbon emissions by promoting two-way FDI in developing countries? Evidence from Chinese listed companies and cities," Energy Economics, Elsevier, vol. 120(C).
    7. Wang, Jiaqi & Tian, Jiaxin & Kang, Yuxin & Guo, Kun, 2023. "Can green finance development abate carbon emissions: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 73-91.
    8. Franzò, Simone & Frattini, Federico & Cagno, Enrico & Trianni, Andrea, 2019. "A multi-stakeholder analysis of the economic efficiency of industrial energy efficiency policies: Empirical evidence from ten years of the Italian White Certificate Scheme," Applied Energy, Elsevier, vol. 240(C), pages 424-435.
    9. Yi, Jinchao & Hou, Yilin & Zhang, Zach Ziye, 2023. "The impact of foreign direct investment (FDI) on China's manufacturing carbon emissions," Innovation and Green Development, Elsevier, vol. 2(4).
    Full references (including those not matched with items on IDEAS)

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