ORIGINAL RESEARCH article
Front. Earth Sci.
Sec. Interdisciplinary Climate Studies
Volume 13 - 2025 | doi: 10.3389/feart.2025.1502190
The green credit policy and the ESG performance of heavily polluting enterprises in China
Provisionally accepted- 1Harbin University of Commerce, Harbin, China
- 2Southwestern University of Finance and Economics, Chengdu, Sichuan Province, China
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The Green Credit Policy is a crucial tool for driving the transformation and upgrading of heavily polluting enterprises and protecting the environment. This study utilizes data from Chinese A-share listed companies from 2009 to 2022, with the "Green Credit Guidelines" issued by the China Banking Regulatory Commission in 2012 as an exogenous variable shock. By employing a difference-in-differences (DID) approach to construct a quasi-natural experiment, this paper examines the impact of the policy on the ESG (Environmental, Social, and Governance) performance of heavily polluting enterprises. The results indicate that the policy significantly improves the ESG performance of these enterprises, and this finding remains robust after a series of robustness tests. Additionally, the policy exhibits a "long-tail effect," meaning its positive impact extends through 2021. Furthermore, panel quantile regression results reveal that the policy has a more pronounced positive impact on enterprises with poorer ESG performance. The study also shows that foreign-owned and mixed-ownership enterprises, as well as larger firms in employee size, do not benefit from the policy, whereas other companies do experience positive effects. Finally, the moderating effect analysis indicates that the age of senior management negatively moderates the policy's impact, while executives with a financial background and effective internal control systems positively moderate its effects. This paper provides a new perspective for future research on corporate ESG performance and offers theoretical insights for the refinement of future policies.
Keywords: The Green Credit Policy, Heavy-Pollution Enterprises, ESG performance, DID method, China
Received: 26 Sep 2024; Accepted: 14 May 2025.
Copyright: © 2025 Jia, Hong and Bai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Guiqiong Jia, Harbin University of Commerce, Harbin, China
E Bai, Harbin University of Commerce, Harbin, China
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