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Carbon Pricing and Stock Performance: Evidence from China’s Emissions Trading Scheme Pilot Regions

Author

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  • Qiongqiong Zhang

    (College of Business and Public Management, Wenzhou-Kean University, Wenzhou 325060, China)

  • Jianing Zhang

    (College of Business and Public Management, Wenzhou-Kean University, Wenzhou 325060, China)

Abstract

This paper examines a sample of 167 publicly listed enterprises covered by eight regional pilot emissions trading markets in China from 2013 to 2023. Our empirical findings indicate that the carbon price returns negatively affect the stock returns of enterprises covered by the regional markets, with the Shenzhen and Guangdong regions suffering a more pronounced effect. Furthermore, high-carbon-intensity enterprises are more susceptible to this negative impact than their low-carbon-intensity counterparts. The robustness of the negative relationship is evident even after the national emissions trading market opened on July 16, 2021. This study provides insightful guidance for policymakers to regulate emissions trading markets.

Suggested Citation

  • Qiongqiong Zhang & Jianing Zhang, 2023. "Carbon Pricing and Stock Performance: Evidence from China’s Emissions Trading Scheme Pilot Regions," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 26(04), pages 1-28, December.
    • Handle: RePEc:wsi:rpbfmp:v:26:y:2023:i:04:n:s0219091523500248
    DOI: 10.1142/S0219091523500248
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    More about this item

    Keywords

    Emissions trading scheme; carbon pricing; stock returns; carbon intensity; China;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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