绿色信贷政策如何推动绿色创新:来自中国自然实验的证据

IF 2.3 3区 经济学 Q2 ECONOMICS
Yong Ma , Diandian Chen
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引用次数: 0

摘要

本研究考察了绿色信贷指引(GCG)对绿色创新的影响,并特别关注了重污染企业。利用中国a股上市公司的面板数据,研究结果揭示了微妙的影响:绿色信贷政策虽然使环保企业的绿色专利申请增加了18.28%,但却显著降低了重污染企业的绿色专利产出,其中绿色专利数量下降了8.11%。进一步的异质性分析表明,在私营企业和高竞争行业中,抑制效应更为明显。机制分析表明,这种下降主要是由保守策略驱动的,污染企业意识到自己在绿色信贷评估中的不利地位,减少了研发投资。这一机制占总效应的21%。这些发现强调了绿色信贷政策的意想不到的后果,并强调需要有针对性的框架来平衡环境保护目标与促进不同类型企业的创新。决策者应考虑有针对性地支持重污染企业,以促进它们向绿色技术过渡,缓解融资限制,确保有效实现环境可持续性和创新的双重目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How green credit policies drive green innovation: evidence from a natural experiment in China
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.
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来源期刊
CiteScore
3.80
自引率
9.10%
发文量
392
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.
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