{"title":"The AI-sustainability Nexus: How does intelligent transformation affect corporate green innovation?","authors":"Chongchong Xu , Boqiang Lin","doi":"10.1016/j.irfa.2025.104107","DOIUrl":null,"url":null,"abstract":"<div><div>The deep integration of the digital economy and sustainable development has emerged as a critical theme in the current socio-economic transformation. However, existing research lacks a comprehensive exploration of how enterprise intelligent transformation empowers green innovation. This study employs intelligent manufacturing demonstration projects as a quasi-experiment, utilizing a staggered difference-in-differences model to examine the impact of enterprise intelligent transformation on green innovation. We analyze data from Chinese manufacturing A-share listed companies from 2011 to 2022. The findings reveal that: (1) Intelligent transformation significantly enhances both the quantity and quality of corporate green innovation. (2) This effect is realized through channels such as attracting on-site investigations by institutional investors, increasing media attention, improving internal control quality, and promoting human capital upgrading. (3) Heterogeneity analysis indicates that intelligent transformation exerts a more pronounced influence on green innovation in large-scale firms, high-tech industry firms, and firms located in regions with stringent environmental regulations. Based on these findings, we propose targeted recommendations for refining policies on enterprise intelligent transformation and green innovation.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"102 ","pages":"Article 104107"},"PeriodicalIF":7.5000,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Financial Analysis","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1057521925001942","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
The deep integration of the digital economy and sustainable development has emerged as a critical theme in the current socio-economic transformation. However, existing research lacks a comprehensive exploration of how enterprise intelligent transformation empowers green innovation. This study employs intelligent manufacturing demonstration projects as a quasi-experiment, utilizing a staggered difference-in-differences model to examine the impact of enterprise intelligent transformation on green innovation. We analyze data from Chinese manufacturing A-share listed companies from 2011 to 2022. The findings reveal that: (1) Intelligent transformation significantly enhances both the quantity and quality of corporate green innovation. (2) This effect is realized through channels such as attracting on-site investigations by institutional investors, increasing media attention, improving internal control quality, and promoting human capital upgrading. (3) Heterogeneity analysis indicates that intelligent transformation exerts a more pronounced influence on green innovation in large-scale firms, high-tech industry firms, and firms located in regions with stringent environmental regulations. Based on these findings, we propose targeted recommendations for refining policies on enterprise intelligent transformation and green innovation.
期刊介绍:
The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.