首页|绿色金融发展水平对企业绿色创新的影响研究——基于五省试验区的准自然实验

绿色金融发展水平对企业绿色创新的影响研究——基于五省试验区的准自然实验

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在"双碳目标"的号召下,绿色金融是引导节能减碳的重要市场金融工具,绿色创新是企业减少碳排放实现清洁化生产的重要手段.本文对江西、新疆、贵州、广东、浙江五省区绿色金融改革创新实验区进行准自然实验,以沪深A股的上市企业为样本构建双重差分模型,对绿色金融与绿色创新之间的关系进行探究,并针对企业和省份层面的其他变量进行异质性分析.研究发现,绿色金融政策能够提升企业绿色创新能力;非国有企业、大规模企业、非重污染行业企业的绿色创新水平普遍强于其他企业;同时地区开放水平也会影响企业的绿色创新能力.因此,政府需要完善绿色金融改革体系;针对重污染行业制定对口指导方案;引入碳排放权交易机制,加强国际合作.
The Impact of Green Financial Development Level on Corporate Green Innovation:Quasi-Natural Experiment Based on Five Provincial Experimental Areas
Under the call of the"Double Carbon Target",green finance is an important market financial tool to guide energy conservation and carbon reduction,and green innovation is an important means for enterprises to reduce carbon emissions and achieve clean production.This paper conducts quasi-natural experiments on the green financial reform and innovation experimental areas of Jiangxi,Xinjiang,Guizhou,Guangdong,and Zhejiang provinces,and constructs a double-difference model based on the samples of Shanghai and Shenzhen A-share listed companies to analyze the relationship between green finance and green innovation.Besides,heterogeneity analysis is conducted for other variables at the firm and provincial level.The paper finds that the green financial policy can improve the green innovation ability of enterprises;the green innovation level of non-state-owned enterprises,large-scale enterprises,and enterprises in non-heavy pollution industries is generally stronger than that of other enterprises;at the same time,the level of regional openness will also affect the green innovation ability of enterprises.Therefore,the government needs to improve the green financial reform system;formulate corresponding guidance programs for heavily polluting industries;introduce a carbon emission trading mechanism and strengthen international cooperation.

green financegreen innovationgreen finance reform pilot areadifference-in-differences model

秦佳良、徐嘉茹

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上海理工大学 管理学院,上海 200093

绿色金融 绿色创新 绿色金融改革试验区 双重差分模型

国家社会科学基金上海市青年科技英才"扬帆计划"项目

20XSH02021YF1431100

2024

科学与管理
山东省科学院

科学与管理

CHSSCD
影响因子:0.38
ISSN:1003-8256
年,卷(期):2024.44(2)
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