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Impact of Carbon Prices on Stock Returns: Evidence from China's High-Carbon Industries

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DOI: 10.23977/ferm.2023.061102 | Downloads: 14 | Views: 329


Bo Xiao 1, Yimeng Ren 2


1 School of Business, Ningbo University, Ningbo, 315211, China
2 School of Internet of Things Engineering, Jiangnan University, Wuxi, 214122, China

Corresponding Author

Bo Xiao


Carbon trading is a key tool in the financial sector's shift towards a sustainable model in response to climate change, which is a market-based approach to regulating greenhouse gas emissions. This paper examines the impact of carbon prices on stock returns. The study utilizes an improved three-factor model and data from 40 stocks in China's high-carbon industries, as well as a control group of 80 stocks from other industries. The empirical findings reveals that high-emitting companies are negatively affected by carbon trading prices, leading to lower stock returns. This suggests that the impact of carbon trading prices on costs and investor confidence outweighs the carbon risk premium. However, the results differ for industries in the control group, indicating that the conclusions may not apply universally.


Carbon trading, green finance, stock returns, Fama-French three-factor model, high-carbon industries


Bo Xiao, Yimeng Ren, Impact of Carbon Prices on Stock Returns: Evidence from China's High-Carbon Industries. Financial Engineering and Risk Management (2023) Vol. 6: 9-16. DOI:


[1] Luo, J., & Xu, Z. (2019). Research on the Relationship among Investor Sentiment, Crowded-trade Behavior and Stock Risk Premium. Price Theory and Practice, 2019 (10), 83-86.
[2] Zhang, Y., & Zhu, H. (2017). Influencing factors of stock market risk premium based on BJS method. Science and Technology Management, 19(02), 63-67.
[3] Lin, J., Chen, L., & Tian, L. (2021). Is Monetary Policy Uncertainty a Pricing Factor for China's Stock Market? Quarterly Journal of Economics, 21(04), 1275-1300.
[4] Xu, Y., Qiu, Z., & Wang, H. (2019). The Effects of Macroeconomic Conditions on Asset Pricing Factors. Economic Theory and Economic Management, 2019(09), 45-58.
[5] Chen, G., Guo, J., & Zhao, X. (2021). Research Progress on Climate Finance. Journal of Economic Dynamics, 2021(08), 131-145.
[6] Castro, P., Gutiérrez-López, C., Tascón, M. T., & Castaño, F. J. (2021). The impact of environmental performance on stock prices in the green and innovative context. Journal of Cleaner Production, 320, 128868.
[7] Tiwari, A. K., Aikins Abakah, E. J., Gabauer, D., & Dwumfour, R. A. (2022). Dynamic spillover effects among green bond, renewable energy stocks and carbon markets during COVID-19 pandemic: Implications for hedging and investment strategies. Global Finance Journal, 51, 100692.
[8] Pedersen, L. H., Fitzgibbons, S., & Pomorski, L. (2021). Responsible investing: The ESG-efficient frontier. Journal of Financial Economics, 142(2), 572-597.
[9] Pan, C., Sun, T., Mirza, N., & Huang, Y. (2022). The pricing of low emission transitions: Evidence from stock returns of natural resource firms in the GCC. Resources Policy, 79, 102986.
[10] Bouri, E., Iqbal, N., & Klein, T. (2022). Climate policy uncertainty and the price dynamics of green and brown energy stocks. Finance Research Letters, 47, 102740.
[11] Wen F., Wu N., Gong X. (2020). China's carbon emissions trading and stock returns. Energy Economics, 86, 104627.
[12] Wang W., Zhang Y.-J. (2022). Does China's carbon emissions trading scheme affect the market power of high-carbon enterprises. Energy Economics, 108, 105906.
[13] Jiao, W., & Lilti, J.-J. (2017). Whether profitability and investment factors have additional explanatory power comparing with Fama-French Three-Factor Model: Empirical evidence on Chinese A-share stock market. China Finance and Economic Review, 5(1), Art. no. 7. 
[14] Fang, T., Su, Z., & Yin, L. (2021). Does the green inspiration effect matter for stock returns? Evidence from the Chinese stock market. Empirical Economics, 60(5), 2155-2176.

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