Carbon Constraints and Corporate Green Innovation: Evidence from China's National Carbon Market
Main Article Content
Keywords
national carbon market, green innovation, carbon emission intensity, difference-in-differences, financing constraints
Abstract
Against the background of China's continuing pursuit of the dual-carbon goals, whether the national carbon emissions trading market can promote corporate green innovation through a market-based mechanism has become an important question for evaluating the effectiveness of environmental regulation. Using A-share listed companies from 2018 to 2023 as the research sample, this study treats the official launch of the national carbon market in 2021 as a quasi-natural experiment. Because the first compliance cycle mainly covered the power generation sector, firms in industry code D44, namely electricity and heat production and supply, are identified as the treatment group. A difference-in-differences model is then constructed to examine the impact of the national carbon market on corporate green innovation. The results show that, after the launch of the national carbon market, the total number of green patent applications by treated firms increased significantly relative to control firms. Mechanism tests indicate that the policy significantly reduced carbon emission intensity among treated firms, and carbon emission intensity is negatively associated with green innovation, suggesting that carbon constraints are an important channel through which the carbon market affects green innovation. Heterogeneity analyses further show that firms with higher pre-policy attention to green transformation respond more strongly to the policy. In this sample, firms with higher financing constraints exhibit stronger policy responses than firms with lower financing constraints. Dynamic DID estimates show no significant pre-policy differential trend between treated and control firms, while the policy effect gradually emerges after 2021. Placebo tests using the pre-policy period, an alternative post-policy window, an alternative dependent variable, and PSM-DID tests generally support the baseline conclusion. The findings suggest that China's national carbon market not only imposes emission-reduction constraints but may also influence corporate green innovation through carbon-cost pressure and expectations of low-carbon transition.
References
- [1] State Council of the People's Republic of China. (2021, October 27). Action plan for carbon dioxide peaking before 2030. https://english.www.gov.cn/policies/latestreleases/202110/27/content_WS6178a47ec6d0df57f98e3dfb.html
- [2] Ministry of Ecology and Environment. (2020, December 31). Measures for the administration of carbon emissions trading (Trial). [In Chinese]. https://www.mee.gov.cn/xxgk2018/xxgk/xxgk02/202101/t20210105_816131.html
- [3] Ministry of Ecology and Environment. (2021, December 31). The first compliance cycle of the national carbon market was successfully completed. [In Chinese]. https://www.mee.gov.cn/ywgz/ydqhbh/wsqtkz/202112/t20211231_965906.shtml
- [4] Ministry of Ecology and Environment. (2022). Report on the first compliance cycle of the national carbon emissions trading market. [In Chinese]. https://www.mee.gov.cn/ywgz/ydqhbh/wsqtkz/202212/P020221230799532329594.pdf
- [5] Ministry of Ecology and Environment. (2022, December 19). Guidelines for accounting and reporting greenhouse gas emissions from power generation facilities. [In Chinese]. https://www.mee.gov.cn/xxgk2018/xxgk/xxgk06/202212/t20221221_1008430.html
- [6] Porter, M. E., & van der Linde, C. (1995). Toward a new conception of the environment-competitiveness relationship. Journal of Economic Perspectives, 9(4), 97–118. https://doi.org/10.1257/jep.9.4.97
- [7] Jaffe, A. B., & Palmer, K. (1997). Environmental regulation and innovation: A panel data study. Review of Economics and Statistics, 79(4), 610–619. https://doi.org/10.1162/003465397557196
- [8] Popp, D. (2002). Induced innovation and energy prices. American Economic Review, 92(1), 160–180. https://doi.org/10.1257/000282802760015658
- [9] Acemoglu, D., Aghion, P., Bursztyn, L., & Hémous, D. (2012). The environment and directed technical change. American Economic Review, 102(1), 131–166. https://doi.org/10.1257/aer.102.1.131
- [10] Calel, R., & Dechezleprêtre, A. (2016). Environmental policy and directed technological change: Evidence from the European carbon market. Review of Economics and Statistics, 98(1), 173–191. https://doi.org/10.1162/REST_a_00470
- [11] Liu, J. Y., & Liu, X. (2023). Effects of carbon emission trading schemes on green technological innovation by industrial enterprises: Evidence from a quasi-natural experiment in China. Journal of Innovation & Knowledge, 8(3), Article 100410. https://doi.org/10.1016/j.jik.2023.100410
- [12] Wang, P., Huang, S., Wang, Y., & Li, W. (2023). Research on the impact of carbon emission rights trading on carbon performance of enterprises [In Chinese]. Science Research Management, 44(12), 158–169. https://doi.org/10.19571/j.cnki.1000-2995.2023.12.016
- [13] Jia, L. J., Zhang, X., Wang, X. N., Chen, X. L., Xu, X. F., & Song, M. L. (2024). Impact of carbon emission trading system on green technology innovation of energy enterprises in China. Journal of Environmental Management, 360, Article 121229. https://doi.org/10.1016/j.jenvman.2024.121229
- [14] Cao, H., Yi, Y., & Jiang, J. (2024). The driving mechanism of green innovation in carbon markets: Property-right definition or market trading? [In Chinese]. Journal of Finance and Economics, 50(7), 80–94. https://doi.org/10.16538/j.cnki.jfe.20240511.301
- [15] China Securities Regulatory Commission. (2012). Guidelines for the industry classification of listed companies. [In Chinese]. https://www.csrc.gov.cn/csrc_en/c102030/c1370756/content.shtml
- [16] Bertrand, M., Duflo, E., & Mullainathan, S. (2004). How much should we trust differences-in-differences estimates? The Quarterly Journal of Economics, 119(1), 249–275. https://doi.org/10.1162/003355304772839588
- [17] Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. https://doi.org/10.1093/biomet/70.1.41
- [18] Heckman, J. J., Ichimura, H., & Todd, P. E. (1997). Matching as an econometric evaluation estimator: Evidence from evaluating a job training programme. Review of Economic Studies, 64(4), 605–654. https://doi.org/10.2307/2971733
- [19] People's Bank of China et al. (2016, August 31). Guidelines for establishing the green financial system. https://www.pbc.gov.cn/english/130721/3133045/index.html
- [20] Wang, X., & Wang, Y. (2021). Research on green credit policy to enhance green innovation [In Chinese]. Management World, 37(6), 173–188, 11. https://doi.org/10.19744/j.cnki.11-1235/f.2021.0085
