{"title":"促进或抑制:人工智能应用对企业环境绩效的影响","authors":"Yeshen Liu, Beibei Wang, Zhe Song","doi":"10.1016/j.irfa.2024.103872","DOIUrl":null,"url":null,"abstract":"<div><div>Existing research mainly focuses on the economic consequences of artificial intelligence (AI) applications for firms, while less attention is given to its non-economic effects. This study uses data from listed non-financial companies in China between 2008 and 2021, first comparing various methods to effectively measure firm-level AI application and then assessing its impact on corporate environmental performance. The findings indicate that AI application enhances the growth of environmental performance. This growth comes primarily through decreased operating costs, increased operational efficiency, and enhanced employee productivity. AI-powered growth is concentrated among manufacturing firms and is associated with larger fixed assets. Additionally, it is concentrated in firms with lower conventional low-skilled labor and is linked to higher unconventional high-skilled labor. We also find that AI application more effectively translates environmental performance into reputation and market value. Overall, this study offers valuable insights and implications for environmental governance in emerging market firms.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"97 ","pages":"Article 103872"},"PeriodicalIF":9.8000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Promoting or inhibiting: The impact of artificial intelligence application on corporate environmental performance\",\"authors\":\"Yeshen Liu, Beibei Wang, Zhe Song\",\"doi\":\"10.1016/j.irfa.2024.103872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Existing research mainly focuses on the economic consequences of artificial intelligence (AI) applications for firms, while less attention is given to its non-economic effects. This study uses data from listed non-financial companies in China between 2008 and 2021, first comparing various methods to effectively measure firm-level AI application and then assessing its impact on corporate environmental performance. The findings indicate that AI application enhances the growth of environmental performance. This growth comes primarily through decreased operating costs, increased operational efficiency, and enhanced employee productivity. AI-powered growth is concentrated among manufacturing firms and is associated with larger fixed assets. Additionally, it is concentrated in firms with lower conventional low-skilled labor and is linked to higher unconventional high-skilled labor. We also find that AI application more effectively translates environmental performance into reputation and market value. Overall, this study offers valuable insights and implications for environmental governance in emerging market firms.</div></div>\",\"PeriodicalId\":48226,\"journal\":{\"name\":\"International Review of Financial Analysis\",\"volume\":\"97 \",\"pages\":\"Article 103872\"},\"PeriodicalIF\":9.8000,\"publicationDate\":\"2025-01-01\",\"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/S1057521924008044\",\"RegionNum\":1,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/12/10 0:00:00\",\"PubModel\":\"Epub\",\"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/S1057521924008044","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/10 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Promoting or inhibiting: The impact of artificial intelligence application on corporate environmental performance
Existing research mainly focuses on the economic consequences of artificial intelligence (AI) applications for firms, while less attention is given to its non-economic effects. This study uses data from listed non-financial companies in China between 2008 and 2021, first comparing various methods to effectively measure firm-level AI application and then assessing its impact on corporate environmental performance. The findings indicate that AI application enhances the growth of environmental performance. This growth comes primarily through decreased operating costs, increased operational efficiency, and enhanced employee productivity. AI-powered growth is concentrated among manufacturing firms and is associated with larger fixed assets. Additionally, it is concentrated in firms with lower conventional low-skilled labor and is linked to higher unconventional high-skilled labor. We also find that AI application more effectively translates environmental performance into reputation and market value. Overall, this study offers valuable insights and implications for environmental governance in emerging market firms.
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.