{"title":"How green credit policies drive green innovation: evidence from a natural experiment in China","authors":"Yong Ma , Diandian Chen","doi":"10.1016/j.jebo.2025.107265","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the impact of Green Credit Guidelines (GCG) on green innovation, with a particular focus on heavily polluting firms. Using panel data of Chinese A-share listed firms, the findings reveal a nuanced effect: while green credit policies increased green patent applications by 18.28 % for environmental protection firms, they significantly reduced green patent output among heavily polluting firms, including a 8.11 % decline in green patents. Further heterogeneity analysis shows that the inhibitory effects are more pronounced among private firms and those operating in high-competition industries. Mechanism analysis indicates that this decline is primarily driven by a conservative strategy, where polluting firms, perceiving their disadvantaged status in green credit assessments, reduce R&D investments. This mechanism accounts for 21 % of the total effects. These findings underscore the unintended consequences of green credit policies and highlight the need for tailored frameworks that balance environmental protection goals with the promotion of innovation across diverse firm types. Policymakers should consider targeted support for heavily polluting firms to facilitate their transition to green technologies and mitigate financing constraints, ensuring the dual objectives of environmental sustainability and innovation are achieved effectively.</div></div>","PeriodicalId":48409,"journal":{"name":"Journal of Economic Behavior & Organization","volume":"239 ","pages":"Article 107265"},"PeriodicalIF":2.3000,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic Behavior & Organization","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167268125003841","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the impact of Green Credit Guidelines (GCG) on green innovation, with a particular focus on heavily polluting firms. Using panel data of Chinese A-share listed firms, the findings reveal a nuanced effect: while green credit policies increased green patent applications by 18.28 % for environmental protection firms, they significantly reduced green patent output among heavily polluting firms, including a 8.11 % decline in green patents. Further heterogeneity analysis shows that the inhibitory effects are more pronounced among private firms and those operating in high-competition industries. Mechanism analysis indicates that this decline is primarily driven by a conservative strategy, where polluting firms, perceiving their disadvantaged status in green credit assessments, reduce R&D investments. This mechanism accounts for 21 % of the total effects. These findings underscore the unintended consequences of green credit policies and highlight the need for tailored frameworks that balance environmental protection goals with the promotion of innovation across diverse firm types. Policymakers should consider targeted support for heavily polluting firms to facilitate their transition to green technologies and mitigate financing constraints, ensuring the dual objectives of environmental sustainability and innovation are achieved effectively.
期刊介绍:
The Journal of Economic Behavior and Organization is devoted to theoretical and empirical research concerning economic decision, organization and behavior and to economic change in all its aspects. Its specific purposes are to foster an improved understanding of how human cognitive, computational and informational characteristics influence the working of economic organizations and market economies and how an economy structural features lead to various types of micro and macro behavior, to changing patterns of development and to institutional evolution. Research with these purposes that explore the interrelations of economics with other disciplines such as biology, psychology, law, anthropology, sociology and mathematics is particularly welcome.