{"title":"绿色贷款贴息政策的企业碳减排效应:城市层面空间溢出效应的证据","authors":"Congcong Liu , Yan Song , Ming Zhang , Sai Chen","doi":"10.1016/j.eiar.2025.107954","DOIUrl":null,"url":null,"abstract":"<div><div>The success of the Green Loan Interest Subsidies (GLS) Policy in promoting low-carbon development in firms is crucial for the green transformation of the economy. Using panel data from China's A-share listed companies from 2015 to 2022, this research takes the GLS Policy as a quasi-natural experiment and uses a double machine learning (DML) model to analyze its influence on corporate carbon emissions empirically. The results suggest that the GLS Policy is associated with a reduction in corporate carbon emissions, with a more pronounced effect in state-owned and labor-intensive enterprises. Robustness tests confirm the reliability of these findings. The GLS Policy promotes carbon reduction by improving bank loan supply and risk assessment capacities. At the urban level, the GLS Policy is associated with decreased local carbon emissions and may also have spillover effects on neighboring areas. These findings provide empirical insights that could inform the design of green finance policies to encourage low-carbon growth.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"114 ","pages":"Article 107954"},"PeriodicalIF":9.8000,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enterprise carbon emission reduction effects of the green loan interest subsidy policy: Evidence of city-level spatial spillovers\",\"authors\":\"Congcong Liu , Yan Song , Ming Zhang , Sai Chen\",\"doi\":\"10.1016/j.eiar.2025.107954\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The success of the Green Loan Interest Subsidies (GLS) Policy in promoting low-carbon development in firms is crucial for the green transformation of the economy. Using panel data from China's A-share listed companies from 2015 to 2022, this research takes the GLS Policy as a quasi-natural experiment and uses a double machine learning (DML) model to analyze its influence on corporate carbon emissions empirically. The results suggest that the GLS Policy is associated with a reduction in corporate carbon emissions, with a more pronounced effect in state-owned and labor-intensive enterprises. Robustness tests confirm the reliability of these findings. The GLS Policy promotes carbon reduction by improving bank loan supply and risk assessment capacities. At the urban level, the GLS Policy is associated with decreased local carbon emissions and may also have spillover effects on neighboring areas. These findings provide empirical insights that could inform the design of green finance policies to encourage low-carbon growth.</div></div>\",\"PeriodicalId\":309,\"journal\":{\"name\":\"Environmental Impact Assessment Review\",\"volume\":\"114 \",\"pages\":\"Article 107954\"},\"PeriodicalIF\":9.8000,\"publicationDate\":\"2025-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Impact Assessment Review\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0195925525001519\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Impact Assessment Review","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0195925525001519","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Enterprise carbon emission reduction effects of the green loan interest subsidy policy: Evidence of city-level spatial spillovers
The success of the Green Loan Interest Subsidies (GLS) Policy in promoting low-carbon development in firms is crucial for the green transformation of the economy. Using panel data from China's A-share listed companies from 2015 to 2022, this research takes the GLS Policy as a quasi-natural experiment and uses a double machine learning (DML) model to analyze its influence on corporate carbon emissions empirically. The results suggest that the GLS Policy is associated with a reduction in corporate carbon emissions, with a more pronounced effect in state-owned and labor-intensive enterprises. Robustness tests confirm the reliability of these findings. The GLS Policy promotes carbon reduction by improving bank loan supply and risk assessment capacities. At the urban level, the GLS Policy is associated with decreased local carbon emissions and may also have spillover effects on neighboring areas. These findings provide empirical insights that could inform the design of green finance policies to encourage low-carbon growth.
期刊介绍:
Environmental Impact Assessment Review is an interdisciplinary journal that serves a global audience of practitioners, policymakers, and academics involved in assessing the environmental impact of policies, projects, processes, and products. The journal focuses on innovative theory and practice in environmental impact assessment (EIA). Papers are expected to present innovative ideas, be topical, and coherent. The journal emphasizes concepts, methods, techniques, approaches, and systems related to EIA theory and practice.