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Heterogeneous Effects of China’s Carbon Market on Carbon Emissions—Evidence from a Regression Control Method

Author

Listed:
  • Feng Liu

    (Institute of Economics, Shanghai Academy of Social Sciences, Shanghai 200020, China)

  • Yu Fu

    (School of Economics, Dongbei University of Finance and Economics, Dalian 116025, China)

  • Weiguo Wang

    (School of Economics, Dongbei University of Finance and Economics, Dalian 116025, China)

Abstract

Carbon trading markets are crucial policy instruments in carbon emission reduction and carbon neutrality. Yet, China’s pilot programs encounter diverse operational modes and environmental factors that might impact their effectiveness. This study uses panel data from 30 provinces (2000–2019) in China and the regression control method to evaluate and analyze the heterogeneous effects of carbon trading pilots (CTPs) on emission reduction. Results reveal three types of CTP effects which are as follows: reducing both total carbon emissions (TCEs) and carbon intensity (CI) as noticed in Shanghai; decreasing CI while increasing TCE as seen in Beijing, Tianjin, Guangdong, and Hubei; and raising both TCE and CI as observed in Chongqing and Fujian. Significantly, market mechanisms in carbon pricing and state intervention, including of state-owned enterprises, play notable roles in these effects. Furthermore, CTP policies display both intensity reduction and energy rebound effects; the direction of carbon emission reduction relies on the balance between these effects. The findings offer empirical support to enhance carbon market effectiveness and provide valuable insights for regions in China and globally in order to tailor policies based on their specific conditions.

Suggested Citation

  • Feng Liu & Yu Fu & Weiguo Wang, 2023. "Heterogeneous Effects of China’s Carbon Market on Carbon Emissions—Evidence from a Regression Control Method," Sustainability, MDPI, vol. 16(1), pages 1-20, December.
  • Handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:89-:d:1304663
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    References listed on IDEAS

    as
    1. Chen, Zhe & Song, Pei & Wang, Baolu, 2021. "Carbon emissions trading scheme, energy efficiency and rebound effect – Evidence from China's provincial data," Energy Policy, Elsevier, vol. 157(C).
    2. Qiuyue Xia & Lu Li & Jie Dong & Bin Zhang, 2021. "Reduction Effect and Mechanism Analysis of Carbon Trading Policy on Carbon Emissions from Land Use," Sustainability, MDPI, vol. 13(17), pages 1-22, August.
    3. Guiliang Tian & Suwan Yu & Zheng Wu & Qing Xia, 2022. "Study on the Emission Reduction Effect and Spatial Difference of Carbon Emission Trading Policy in China," Energies, MDPI, vol. 15(5), pages 1-20, March.
    4. Chevallier, Julien & Khuong Nguyen, Duc & Carlos Reboredo, Juan, 2019. "A conditional dependence approach to CO2-energy price relationships," Energy Economics, Elsevier, vol. 81(C), pages 812-821.
    5. Xuehui Yang & Jiaping Zhang & Lehua Bi & Yiming Jiang, 2023. "Does China’s Carbon Trading Pilot Policy Reduce Carbon Emissions? Empirical Analysis from 285 Cities," IJERPH, MDPI, vol. 20(5), pages 1-24, March.
    6. Wanlin Yu & Jinlong Luo, 2022. "Impact on Carbon Intensity of Carbon Emission Trading—Evidence from a Pilot Program in 281 Cities in China," IJERPH, MDPI, vol. 19(19), pages 1-19, September.
    7. Cheng Hsiao & H. Steve Ching & Shui Ki Wan, 2012. "A Panel Data Approach For Program Evaluation: Measuring The Benefits Of Political And Economic Integration Of Hong Kong With Mainland China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 705-740, August.
    8. Li, Zhiguo & Wang, Jie, 2022. "Spatial spillover effect of carbon emission trading on carbon emission reduction: Empirical data from pilot regions in China," Energy, Elsevier, vol. 251(C).
    9. Cheng Hsiao & Qiankun Zhou, 2019. "Panel parametric, semiparametric, and nonparametric construction of counterfactuals," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 463-481, June.
    10. Dawei Huang & Gang Chen, 2022. "Can the Carbon Emissions Trading System Improve the Green Total Factor Productivity of the Pilot Cities?—A Spatial Difference-in-Differences Econometric Analysis in China," IJERPH, MDPI, vol. 19(3), pages 1-18, January.
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