人工智能是否促进了能源行业的绿色技术创新？

IF 14.2 2区经济学 Q1 ECONOMICS

Energy Economics Pub Date : 2025-03-15 DOI:10.1016/j.eneco.2025.108402

Cong Li , Yue Zhang , Xihua Liu , Jiawen Sun

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引用次数: 0

摘要

能源企业从事绿色技术创新的激励机制不足，是长期困扰经济增长和可持续发展的一个问题。人工智能（AI）创新在环保领域的广泛融合为GTI提供了新的动力，引发了人们对其在绿色转型中的作用的兴趣。本研究考察人工智能对中国能源企业GTI的影响，探讨人工智能是转移GTI资源，还是克服GTI激励的缺失。结果表明，人工智能确实对GTI有贡献，而且是通过提高人力资本和减轻财政压力来实现的。此外，这种影响在中东部地区、环保法规较为严格的地区以及能源产业的中下游地区更为明显。这些发现为模拟GTI提供了具体的见解，有助于平衡经济增长与可持续发展。

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Does artificial intelligence promote green technology innovation in the energy industry?

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.

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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.