{"title":"Does artificial intelligence promote green technology innovation in the energy industry?","authors":"Cong Li , Yue Zhang , Xihua Liu , Jiawen Sun","doi":"10.1016/j.eneco.2025.108402","DOIUrl":null,"url":null,"abstract":"<div><div>The lack of incentives for energy corporations to engage in green technology innovation (GTI) is a problem which has long plagued economic growth and sustainable development. The widespread integration of artificial intelligence (AI) innovation in the domain of environmental protection has given new impetus to GTI, sparking interest into its role in green transformation. This study investigates the impact of AI on GTI in Chinese energy corporations to explore whether it is diverting resources from GTI, or overcoming the lack of GTI incentives. The results indicate that AI indeed contributes to GTI, and that it does so by enhancing human capital and alleviating financial pressure. Additionally, this effect is more pronounced in the central and eastern regions, areas with stricter environmental regulations, and the midstream and downstream of the energy industry. These findings offer specific insights to simulate GTI, helping balance economic growth with sustainable development.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"144 ","pages":"Article 108402"},"PeriodicalIF":13.6000,"publicationDate":"2025-03-15","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/S0140988325002269","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
The lack of incentives for energy corporations to engage in green technology innovation (GTI) is a problem which has long plagued economic growth and sustainable development. The widespread integration of artificial intelligence (AI) innovation in the domain of environmental protection has given new impetus to GTI, sparking interest into its role in green transformation. This study investigates the impact of AI on GTI in Chinese energy corporations to explore whether it is diverting resources from GTI, or overcoming the lack of GTI incentives. The results indicate that AI indeed contributes to GTI, and that it does so by enhancing human capital and alleviating financial pressure. Additionally, this effect is more pronounced in the central and eastern regions, areas with stricter environmental regulations, and the midstream and downstream of the energy industry. These findings offer specific insights to simulate GTI, helping balance economic growth with sustainable 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.
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