人工智能如何影响能源效率？来自供应链数字化试点项目的证据

IF 13.6 2区经济学 Q1 ECONOMICS

Energy Economics Pub Date : 2025-07-15 DOI:10.1016/j.eneco.2025.108728

Jiaojiao Fan , Weiqian Li , Lin Chen

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引用次数: 0

摘要

随着全球能源需求的增长和环保意识的增强，能源转型已成为实现可持续发展的核心要素。供应链数字化是人工智能应用的一个关键领域，其对能源效率的影响已成为一个重要的话题。本文利用中国上市公司的微观数据，考察了供应链数字化对能源效率的影响。基准测试结果表明，供应链数字化显著提高了能源效率。绿色全要素生产率和供应链效率对供应链数字化与能源效率之间的关系具有显著的正向调节作用。最后，异质性回归结果表明，供应链数字化对资本密集型企业、非绿色企业、高污染企业和民营企业的能效影响显著更高。综上所述，本研究首次提供了供应链数字化与能源效率关系的实证证据，这对中国的能源转型具有重要意义。

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How does artificial intelligence affect energy efficiency? Evidence from supply chain digitization pilot program

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.

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来源期刊

Energy Economics ECONOMICS-

CiteScore

18.60

自引率

12.50%

发文量

524

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.