探索人工智能作为能源技术创新催化剂的作用

IF 13.6 2区经济学 Q1 ECONOMICS

Energy Economics Pub Date : 2025-05-21 DOI:10.1016/j.eneco.2025.108578

Mingxing Shao, Lei Wen, Sifei Li, Binyue Huang

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引用次数: 0

摘要

人工智能具有很强的外溢效应，是推动技术进步和发展的重要动力。以2007 - 2022年a股上市企业为样本，评估人工智能对能源技术创新（ETI）的影响。我们的研究结果强调，人工智能主要通过改善人力资本结构和鼓励企业增加研发支出来促进ETI。这种效应在低碳转型战略企业、资源禀赋丰富地区企业和清洁能源基地企业中更为明显。研究还发现，人工智能对企业环境绩效具有正向影响，有助于企业环境绩效的提升。研究结果更全面地了解了人工智能在能源和创新中的关键作用，为企业利用人工智能提高能源效率和降低污染物排放提供了切实可行的建议，从而与中国设定的碳中和和峰值目标保持一致，并鼓励实现这些目标。

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Exploring the role of artificial intelligence as a catalyst for energy technology innovation

Artificial intelligence (AI) has a strong spillover effect and acts as an essential propellant for advancements in technology and development. Using A-share listed enterprises between 2007 and 2022 as the sample, we assess the influence of AI on energy technology innovation (ETI). Our findings highlight that AI can promote ETI primarily by improving the human capital structure and encouraging enterprises to increase research and development (R&D) expenditure. This effect is more pronounced in enterprises with low-carbon transition strategy, those located in regions with abundant resource endowments, and those situated in clean energy base areas. Moreover, the study reveals that AI can positively affect ETI and contribute to enhanced enterprise environmental performance. The findings provide more thorough understanding of the critical role of AI in energy and innovation, offering practical recommendations for enterprises to leverage AI in boosting energy efficiency and lowering pollutant emissions, thereby aligning with as well as encouraging the attainment of carbon neutrality and peaking targets set by China.

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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.