When climate policy's up in the air: How digital technology impacts corporate energy intensity

IF 14.2 2区 经济学 Q1 ECONOMICS Energy Economics Pub Date : 2025-04-01 Epub Date: 2025-02-17 DOI:10.1016/j.eneco.2025.108311
Xiaoli Hao , Erxiang Miao , Qingyu Sun , Ke Li , Shufang Wen , Haitao Wu
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Abstract

Digital technologies are becoming a key force in reshaping the contemporary energy system and energy structure, however, the uncertainty of climate policies caused by climate change brings new challenges and opportunities for enterprises to transform digitally and enhance energy efficiency. Drawing on data from Chinese listed companies spanning 2010 to 2022, empirical findings demonstrate that enterprise digital technology (DT) effectively reduces energy consumption intensity (ECI). Moreover, climate policy uncertainty (CPU) acts as a catalyst, amplifying the energy-saving impact of DT while further advancing its application within enterprises. Mechanism analysis reveals that DT contributes to energy conservation by improving total factor productivity and innovation efficiency, expanding enterprise scale, promoting digital transformation, and reducing costs. Heterogeneity analysis indicates that the energy-saving effect of DT is particularly pronounced in areas characterized by high levels of energy uncertainty, manufacturing sectors, and big data experimentation domains. This paper provides novel micro-level evidence for comprehensively understanding the interplay among CPU, adoption of DT, and ECI.
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当气候政策悬而未决:数字技术如何影响企业能源强度
数字技术正在成为重塑当代能源体系和能源结构的关键力量,然而,气候变化带来的气候政策不确定性给企业数字化转型和提高能源效率带来了新的挑战和机遇。利用2010 - 2022年中国上市公司数据,实证结果表明,企业数字技术(DT)有效降低了能源消耗强度(ECI)。此外,气候政策不确定性(CPU)作为催化剂,放大了DT的节能影响,同时进一步推动了其在企业中的应用。机制分析表明,数字化创新通过提高全要素生产率和创新效率、扩大企业规模、促进数字化转型、降低成本等方式促进节能。异质性分析表明,在能源不确定性较高的地区、制造业和大数据实验领域,数字化创新的节能效果尤为显著。本文为全面理解CPU、DT采用和ECI之间的相互作用提供了新的微观证据。
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来源期刊
Energy Economics
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.
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