School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou, 450045, China.
Business School, Zhengzhou University, Zhengzhou, 450001, China.
Environ Res. 2024 Mar 1;244:117910. doi: 10.1016/j.envres.2023.117910. Epub 2023 Dec 14.
Promoting green and low-carbon development has become the consensus of the policymakers and the academic, with green transformation of enterprises being the top priority. This paper adopts the difference-in-difference model to investigate the effect of green credit policy on green transition in China, by utilizing the "Green Credit Guidelines" (2012 Guidelines) policy as a quasi-natural experiment. Using panel data from publicly listed companies in China, an empirical investigation is conducted, we explain the dependent variable from two dimensions: economic performance and environmental performance, leading to the following results. First, the green credit policy affects the economic performance and environmental performance of treated firms positively, and the robust tests confirm the reliability of this primary conclusion. Second, the indirect impact of green credit policy on green transition can be explained through two mediating mechanism channels including internal capacity building and external market attention. In addition, the proposal of "Dual Carbon Targets" makes the impact a slight change. Finally, heterogeneous test also shows that the implementation effect of green credit policy is better in non-state-owned enterprises with high political relevance. These findings are providing valuable insights to promote green transition by designing more effective green credit policies.
推动绿色低碳发展已经成为政策制定者和学术界的共识,企业的绿色转型是当务之急。本文采用双重差分模型,利用“绿色信贷指引(2012 指引)”政策这一准自然实验,考察了绿色信贷政策对中国绿色转型的影响。利用中国上市公司的面板数据进行实证研究,从经济绩效和环境绩效两个维度解释了因变量,得出以下结果。首先,绿色信贷政策对处理企业的经济绩效和环境绩效产生了积极影响,稳健性检验证实了这一主要结论的可靠性。其次,绿色信贷政策对绿色转型的间接影响可以通过内部能力建设和外部市场关注两个中介机制渠道来解释。此外,“双碳目标”的提出使得影响略有变化。最后,异质性测试还表明,绿色信贷政策在政治关联度较高的非国有企业中的实施效果更好。这些发现为通过设计更有效的绿色信贷政策来推动绿色转型提供了有价值的见解。