{"title":"Impact of artificial intelligence innovation on food company performance","authors":"Yongqin Wang , Fuxing Liu","doi":"10.1016/j.irfa.2025.104219","DOIUrl":null,"url":null,"abstract":"<div><div>The extent to which the food sector, as a traditional industry, can benefit from artificial intelligence (AI) innovation remains an open question. Using panel data from Chinese A-share listed food companies from 2010 to 2023, this study examines the impact of AI innovation on food companies' value. Our findings indicate that AI innovation significantly enhances food companies' value, and this conclusion remains robust after addressing endogeneity and conducting various robustness tests. Mechanism analysis reveals that AI innovation contributes to higher market capitalization, improved operational efficiency, and strengthened market power. Further analysis demonstrates that the positive impact of AI innovation is more pronounced in markets with higher concentration and is particularly significant for food companies in the manufacturing sector. Additionally, AI-generated inventions innovations have a stronger effect on increasing firm value compared with AI non-AI invention innovations.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"103 ","pages":"Article 104219"},"PeriodicalIF":7.5000,"publicationDate":"2025-04-01","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/S1057521925003060","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 extent to which the food sector, as a traditional industry, can benefit from artificial intelligence (AI) innovation remains an open question. Using panel data from Chinese A-share listed food companies from 2010 to 2023, this study examines the impact of AI innovation on food companies' value. Our findings indicate that AI innovation significantly enhances food companies' value, and this conclusion remains robust after addressing endogeneity and conducting various robustness tests. Mechanism analysis reveals that AI innovation contributes to higher market capitalization, improved operational efficiency, and strengthened market power. Further analysis demonstrates that the positive impact of AI innovation is more pronounced in markets with higher concentration and is particularly significant for food companies in the manufacturing sector. Additionally, AI-generated inventions innovations have a stronger effect on increasing firm value compared with AI non-AI invention innovations.
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.