{"title":"Impact of artificial intelligence on corporate green transformation","authors":"Huanyu Li , Hao Wu , Jian Rao","doi":"10.1016/j.frl.2025.107427","DOIUrl":null,"url":null,"abstract":"<div><div>This study explores the impact of artificial A-share-listed Chinese companies from 2000 to 2022. The findings indicate that AI significantly enhances intelligence (AI) on corporate green transformation (GX) using data from corporate GX, a conclusion supported by multiple robustness checks. Heterogeneity analyses reveal that AI's positive influence is more pronounced in older firms, politically connected companies, nonheavy-pollution industries, and organizations with higher levels of GX. This study contributes a new explanatory perspective on how businesses can leverage AI to advance GX and provides a theoretical foundation for further research and development in AI-driven corporate sustainability initiatives.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"80 ","pages":"Article 107427"},"PeriodicalIF":6.9000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Finance Research Letters","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1544612325006877","RegionNum":2,"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
This study explores the impact of artificial A-share-listed Chinese companies from 2000 to 2022. The findings indicate that AI significantly enhances intelligence (AI) on corporate green transformation (GX) using data from corporate GX, a conclusion supported by multiple robustness checks. Heterogeneity analyses reveal that AI's positive influence is more pronounced in older firms, politically connected companies, nonheavy-pollution industries, and organizations with higher levels of GX. This study contributes a new explanatory perspective on how businesses can leverage AI to advance GX and provides a theoretical foundation for further research and development in AI-driven corporate sustainability initiatives.
期刊介绍:
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