{"title":"人工智能与企业绿色创新:来自中国的证据","authors":"Lihong Guo , Huacheng Pei , Yizi Liu","doi":"10.1016/j.ribaf.2025.103039","DOIUrl":null,"url":null,"abstract":"<div><div>The rapid development of disruptive technologies, such as artificial intelligence (AI), provides new opportunities for corporate green transformation. Based on panel data of Chinese A-share listed firms from 2010 to 2023, this study has found that: (1) An increase in corporate AI intensity significantly boosts the quantity of corporate green innovation. (2) AI primarily promotes substantive green innovation, but has little influence on strategic green innovation, that is, AI enhances the quality of corporate green innovation. (3) AI stimulates green innovation by improving data-driven decision-making, facilitating human-AI collaboration, and reducing information asymmetry. (4) The impact of AI on green innovation varies significantly across firms with different ownership properties, industries and regions. (5) AI ultimately increases corporate value by promoting green innovation. These findings offer valuable insights into the economic implications of corporate AI investments and the factors driving green transformation.</div></div>","PeriodicalId":51430,"journal":{"name":"Research in International Business and Finance","volume":"79 ","pages":"Article 103039"},"PeriodicalIF":6.9000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence and corporate green innovation: Evidence from China\",\"authors\":\"Lihong Guo , Huacheng Pei , Yizi Liu\",\"doi\":\"10.1016/j.ribaf.2025.103039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The rapid development of disruptive technologies, such as artificial intelligence (AI), provides new opportunities for corporate green transformation. Based on panel data of Chinese A-share listed firms from 2010 to 2023, this study has found that: (1) An increase in corporate AI intensity significantly boosts the quantity of corporate green innovation. (2) AI primarily promotes substantive green innovation, but has little influence on strategic green innovation, that is, AI enhances the quality of corporate green innovation. (3) AI stimulates green innovation by improving data-driven decision-making, facilitating human-AI collaboration, and reducing information asymmetry. (4) The impact of AI on green innovation varies significantly across firms with different ownership properties, industries and regions. (5) AI ultimately increases corporate value by promoting green innovation. These findings offer valuable insights into the economic implications of corporate AI investments and the factors driving green transformation.</div></div>\",\"PeriodicalId\":51430,\"journal\":{\"name\":\"Research in International Business and Finance\",\"volume\":\"79 \",\"pages\":\"Article 103039\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in International Business and Finance\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0275531925002958\",\"RegionNum\":2,\"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":"Research in International Business and Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0275531925002958","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Artificial intelligence and corporate green innovation: Evidence from China
The rapid development of disruptive technologies, such as artificial intelligence (AI), provides new opportunities for corporate green transformation. Based on panel data of Chinese A-share listed firms from 2010 to 2023, this study has found that: (1) An increase in corporate AI intensity significantly boosts the quantity of corporate green innovation. (2) AI primarily promotes substantive green innovation, but has little influence on strategic green innovation, that is, AI enhances the quality of corporate green innovation. (3) AI stimulates green innovation by improving data-driven decision-making, facilitating human-AI collaboration, and reducing information asymmetry. (4) The impact of AI on green innovation varies significantly across firms with different ownership properties, industries and regions. (5) AI ultimately increases corporate value by promoting green innovation. These findings offer valuable insights into the economic implications of corporate AI investments and the factors driving green transformation.
期刊介绍:
Research in International Business and Finance (RIBAF) seeks to consolidate its position as a premier scholarly vehicle of academic finance. The Journal publishes high quality, insightful, well-written papers that explore current and new issues in international finance. Papers that foster dialogue, innovation, and intellectual risk-taking in financial studies; as well as shed light on the interaction between finance and broader societal concerns are particularly appreciated. The Journal welcomes submissions that seek to expand the boundaries of academic finance and otherwise challenge the discipline. Papers studying finance using a variety of methodologies; as well as interdisciplinary studies will be considered for publication. Papers that examine topical issues using extensive international data sets are welcome. Single-country studies can also be considered for publication provided that they develop novel methodological and theoretical approaches or fall within the Journal''s priority themes. It is especially important that single-country studies communicate to the reader why the particular chosen country is especially relevant to the issue being investigated. [...] The scope of topics that are most interesting to RIBAF readers include the following: -Financial markets and institutions -Financial practices and sustainability -The impact of national culture on finance -The impact of formal and informal institutions on finance -Privatizations, public financing, and nonprofit issues in finance -Interdisciplinary financial studies -Finance and international development -International financial crises and regulation -Financialization studies -International financial integration and architecture -Behavioral aspects in finance -Consumer finance -Methodologies and conceptualization issues related to finance