首页|绿色信贷对企业绿色全要素生产率的影响研究——基于重污染行业的实证分析

绿色信贷对企业绿色全要素生产率的影响研究——基于重污染行业的实证分析

Research on the Impact of Green Credit on the Green Total Factor Productivity of Enterprises——Empirical analysis based on heavily polluting industries

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绿色全要素生产率能够综合衡量企业经济效益和环保状况,文章使用超效率EBM模型测算重污染企业绿色全要素生产率,探究绿色信贷对重污染企业绿色发展的影响.研究表明:绿色信贷能够显著提高重污染企业绿色全要素生产率,激励企业进行创新和资源配置效率改进、迫使企业增加环境信息披露,引导公众加强对污染问题的关注,从而促使企业绿色转型.绿色信贷对国有企业、小型企业和融资约束高的企业影响更显著.建议加强绿色信贷政策实施力度、完善环境信息披露制度,充分调动公众的积极性,推动我国经济全面高质量发展.
Green total factor productivity can comprehensively measure the economic benefits and environmental sta-tus of enterprises.Using the super efficient EBM model to calculate the green total factor productivity of heavily pol-luting enterprises and exploring the impact of green credit on the green development of heavily polluting enterprises.Research has shown that green credit can significantly improve the green total factor productivity of heavily polluting enterprises,motivate them to innovate and improve resource allocation efficiency,force them to increase environ-mental information disclosure,guide the public to pay more attention to pollution issues,and thus promote the green transformation of enterprises.Green credit has a more significant impact on state-owned enterprises,small enterprises,and enterprises with high financing constraints.It is recommended to strengthen the implementation of green credit policies,improve the environmental information disclosure system,fully mobilize the enthusiasm of the public,and promote the comprehensive and high-quality development of China's economy.

green creditheavy pollution enterprisesgreen total factor productivity

周君宇、张波

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安徽大学 经济学院, 安徽 合肥 230601

合肥学院 经济与管理学院, 安徽 合肥 230601

绿色信贷 重污染企业 绿色全要素生产率

安徽省社会科学基金规划重点项目

AHSKZ2019D026

2024

哈尔滨师范大学社会科学学报
哈尔滨师范大学

哈尔滨师范大学社会科学学报

CHSSCD
影响因子:0.173
ISSN:2095-0292
年,卷(期):2024.15(2)
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