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绿色信贷政策对重污染企业创新的实证研究
引用本文:徐子钦.绿色信贷政策对重污染企业创新的实证研究[J].科技和产业,2023,23(14):73-77.
作者姓名:徐子钦
作者单位:贵州财经大学 大数据应用与经济学院,贵阳 550025
摘    要:在绿水青山就是金山银山的理念下,绿色信贷政策如何运用配置信贷资金的手段来解决重污染企业产生的环境污染问题,成为了一项待解决的重要课题。本文选取2009-2021年中国上市企业面板数据,构建双重差分模型来研究绿色信贷政策是否对重污染企业创新产生影响。研究结果显示,绿色信贷政策对重污染企业创新具有促进作用。本文以企业技术创新为视角,拓展了绿色信贷政策的微观效果,不仅有助于了解绿色信贷政策的实施效果以及重污染企业参与创新的原因,还为后续深入落实绿色信贷政策以及建设绿色金融体系提供了宝贵的经验。

关 键 词:绿色信贷政策  企业创新  双重差分模型

An Empirical Study on the Innovation of Green Credit on Heavy Polluting Enterprises
Abstract:Under the concept that green water and green mountains are gold and silver mountains, how green credit policies use the means of allocating credit funds to solve the environmental pollution problems caused by heavily polluting enterprises has become an important issue to be solved. The panel data of listed enterprises were selected in China from 2009 to 2021 and a double differential model was constructed to study whether green credit policies had an impact on the innovation of heavily polluting enterprises. The results show that green credit policies promote the innovation of heavily polluting enterprises. From the perspective of enterprise technological innovation, the micro effect of green credit policy are expanded, which not only helps to understand the implementation effect of green credit policy and the reasons for heavy polluting enterprises to participate in innovation, but also provides valuable experience for the subsequent in-depth implementation of green credit policy and the construction of green financial system.
Keywords:green credit policy  enterprise innovation  double differential model
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