{"title":"How does artificial intelligence affect energy efficiency? Evidence from supply chain digitization pilot program","authors":"Jiaojiao Fan , Weiqian Li , Lin Chen","doi":"10.1016/j.eneco.2025.108728","DOIUrl":null,"url":null,"abstract":"<div><div>With rising global energy demand and increasing environmental awareness, energy transformation has become a core element in achieving sustainable development. Supply chain digitalization, a key area of artificial intelligence application, has become an important topic for its impact on energy efficiency. This paper examines the impact of supply chain digitization on energy efficiency using microdata from Chinese listed companies. The benchmark results show that supply chain digitalization significantly improves energy efficiency. Moreover, green total factor productivity and supply chain efficiency have a significant positive moderating effect on the relationship between supply chain digitization and energy efficiency. Finally, the heterogeneity regression results show that supply chain digitization has a significantly higher impact on energy efficiency in capital-intensive firms, non-green firms, highly polluting firms, and private firms. In conclusion, this study provides the first empirical evidence on the relationship between supply chain digitization and energy efficiency, which is important for China's energy transition.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"149 ","pages":"Article 108728"},"PeriodicalIF":13.6000,"publicationDate":"2025-07-15","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/S0140988325005559","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
With rising global energy demand and increasing environmental awareness, energy transformation has become a core element in achieving sustainable development. Supply chain digitalization, a key area of artificial intelligence application, has become an important topic for its impact on energy efficiency. This paper examines the impact of supply chain digitization on energy efficiency using microdata from Chinese listed companies. The benchmark results show that supply chain digitalization significantly improves energy efficiency. Moreover, green total factor productivity and supply chain efficiency have a significant positive moderating effect on the relationship between supply chain digitization and energy efficiency. Finally, the heterogeneity regression results show that supply chain digitization has a significantly higher impact on energy efficiency in capital-intensive firms, non-green firms, highly polluting firms, and private firms. In conclusion, this study provides the first empirical evidence on the relationship between supply chain digitization and energy efficiency, which is important for China's energy transition.
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.