{"title":"人工智能对企业绿色治理绩效的影响","authors":"Mengke Yu , Qingyang Sun , Hui Huang","doi":"10.1016/j.irfa.2025.104548","DOIUrl":null,"url":null,"abstract":"<div><div>Using data from 4235 Chinese firms over the period 2009–2022, this study investigates the impact of corporate artificial intelligence (AI) adoption on green governance performance and examines the underlying mechanisms. Our results demonstrate that the adoption of AI positively influences green governance performance, and this conclusion remains robust following a series of sensitivity tests. In terms of mechanisms, AI adoption enhances green governance performance by lowering green management costs and increasing green innovation outputs. A heterogeneity analysis reveals that AI's positive effect is more pronounced in traditional manufacturing firms, those located in eastern China, and those that target international markets. This study provides valuable insights into improving green governance performance and achieving high-quality green development in accordance with China's “dual carbon” goals. It also offers practical strategies for firms to use AI in reducing costs and strengthening their innovation capabilities in green governance.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"106 ","pages":"Article 104548"},"PeriodicalIF":9.8000,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of artificial intelligence on the green governance performance of enterprises\",\"authors\":\"Mengke Yu , Qingyang Sun , Hui Huang\",\"doi\":\"10.1016/j.irfa.2025.104548\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Using data from 4235 Chinese firms over the period 2009–2022, this study investigates the impact of corporate artificial intelligence (AI) adoption on green governance performance and examines the underlying mechanisms. Our results demonstrate that the adoption of AI positively influences green governance performance, and this conclusion remains robust following a series of sensitivity tests. In terms of mechanisms, AI adoption enhances green governance performance by lowering green management costs and increasing green innovation outputs. A heterogeneity analysis reveals that AI's positive effect is more pronounced in traditional manufacturing firms, those located in eastern China, and those that target international markets. This study provides valuable insights into improving green governance performance and achieving high-quality green development in accordance with China's “dual carbon” goals. It also offers practical strategies for firms to use AI in reducing costs and strengthening their innovation capabilities in green governance.</div></div>\",\"PeriodicalId\":48226,\"journal\":{\"name\":\"International Review of Financial Analysis\",\"volume\":\"106 \",\"pages\":\"Article 104548\"},\"PeriodicalIF\":9.8000,\"publicationDate\":\"2025-08-19\",\"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/S1057521925006350\",\"RegionNum\":1,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Financial Analysis","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1057521925006350","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
The impact of artificial intelligence on the green governance performance of enterprises
Using data from 4235 Chinese firms over the period 2009–2022, this study investigates the impact of corporate artificial intelligence (AI) adoption on green governance performance and examines the underlying mechanisms. Our results demonstrate that the adoption of AI positively influences green governance performance, and this conclusion remains robust following a series of sensitivity tests. In terms of mechanisms, AI adoption enhances green governance performance by lowering green management costs and increasing green innovation outputs. A heterogeneity analysis reveals that AI's positive effect is more pronounced in traditional manufacturing firms, those located in eastern China, and those that target international markets. This study provides valuable insights into improving green governance performance and achieving high-quality green development in accordance with China's “dual carbon” goals. It also offers practical strategies for firms to use AI in reducing costs and strengthening their innovation capabilities in green governance.
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.