{"title":"The impact of artificial intelligence policy on green innovation of firms","authors":"Boqiang Lin , Yitong Zhu","doi":"10.1016/j.eneco.2025.108524","DOIUrl":null,"url":null,"abstract":"<div><div>As a pivotal force in driving innovation, Artificial Intelligence (AI) has played a significant role in the technological advancement of enterprises. Investigating the impact of AI pilot policies on corporate green innovation is not only conducive to optimizing the development trajectory of AI but also an essential measure in advancing sustainable development strategies. This study uses the 2019 Chinese AI Innovation and Development Pilot Zone (AIP) policy as a quasi-natural experiment, examining the influence of policy on corporate green innovation and its intrinsic mechanisms of action. The findings indicate: (1) The AIP policy significantly fosters green innovation among enterprises in the pilot regions, with results remaining robust after a series of sensitivity tests; (2) Mechanism analysis reveals that the influence of the policy on corporate green innovation is mediated by R&D investment and is also moderated by the level of ESG and environmental disclosure; (3) Heterogeneity tests discover that the policy has a more pronounced impact on enterprises with superior financing conditions, lower market concentration, and higher levels of regional digital economic development. This paper not only provides theoretical support for understanding the role of AI in corporate green development but also offers empirical references for assessing the policy effects of AI development.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"148 ","pages":"Article 108524"},"PeriodicalIF":13.6000,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140988325003482","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
As a pivotal force in driving innovation, Artificial Intelligence (AI) has played a significant role in the technological advancement of enterprises. Investigating the impact of AI pilot policies on corporate green innovation is not only conducive to optimizing the development trajectory of AI but also an essential measure in advancing sustainable development strategies. This study uses the 2019 Chinese AI Innovation and Development Pilot Zone (AIP) policy as a quasi-natural experiment, examining the influence of policy on corporate green innovation and its intrinsic mechanisms of action. The findings indicate: (1) The AIP policy significantly fosters green innovation among enterprises in the pilot regions, with results remaining robust after a series of sensitivity tests; (2) Mechanism analysis reveals that the influence of the policy on corporate green innovation is mediated by R&D investment and is also moderated by the level of ESG and environmental disclosure; (3) Heterogeneity tests discover that the policy has a more pronounced impact on enterprises with superior financing conditions, lower market concentration, and higher levels of regional digital economic development. This paper not only provides theoretical support for understanding the role of AI in corporate green development but also offers empirical references for assessing the policy effects of AI development.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.