Impact of AI applications on corporate green innovation

IF 4.8 2区经济学 Q1 BUSINESS, FINANCE

International Review of Economics & Finance Pub Date : 2025-02-27 DOI:10.1016/j.iref.2025.104007

Kang Xi , Xuefeng Shao

{"title":"Impact of AI applications on corporate green innovation","authors":"Kang Xi , Xuefeng Shao","doi":"10.1016/j.iref.2025.104007","DOIUrl":null,"url":null,"abstract":"<div><div>In the context of China's efforts to achieve carbon peaking and carbon neutrality goals, this study examined the impact of artificial intelligence (AI) applications on corporate green innovation (CGI) and the mechanism underlying such impact. Based on the panel data of 5209 Chinese listed firms from 2003 to 2022, this study empirically analyzed the relationship between AI applications and CGI using text analysis and econometric methods. The results revealed that AI applications significantly positively affect CGI. Additionally, media attention positively moderates the relationship between AI applications and CGI efficiency. Heterogeneity analysis further revealed the significantly different roles of various factors (e.g., region, industry, and nature of corporate ownership) in the relationship between AI applications and CGI. Our findings provide empirical support for the role of AI applications in achieving China's carbon peaking and carbon neutrality goals, and are of both theoretical and practical significance to promoting green transformation in China's economic development.</div></div>","PeriodicalId":14444,"journal":{"name":"International Review of Economics & Finance","volume":"99 ","pages":"Article 104007"},"PeriodicalIF":4.8000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Economics & Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1059056025001704","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

In the context of China's efforts to achieve carbon peaking and carbon neutrality goals, this study examined the impact of artificial intelligence (AI) applications on corporate green innovation (CGI) and the mechanism underlying such impact. Based on the panel data of 5209 Chinese listed firms from 2003 to 2022, this study empirically analyzed the relationship between AI applications and CGI using text analysis and econometric methods. The results revealed that AI applications significantly positively affect CGI. Additionally, media attention positively moderates the relationship between AI applications and CGI efficiency. Heterogeneity analysis further revealed the significantly different roles of various factors (e.g., region, industry, and nature of corporate ownership) in the relationship between AI applications and CGI. Our findings provide empirical support for the role of AI applications in achieving China's carbon peaking and carbon neutrality goals, and are of both theoretical and practical significance to promoting green transformation in China's economic development.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

International Review of Economics & Finance Multiple-

CiteScore

7.30

自引率

2.20%

发文量

253

期刊介绍： The International Review of Economics & Finance (IREF) is a scholarly journal devoted to the publication of high quality theoretical and empirical articles in all areas of international economics, macroeconomics and financial economics. Contributions that facilitate the communications between the real and the financial sectors of the economy are of particular interest.