Can artificial intelligence technology reduce carbon emissions? A global perspective

IF 14.2 2区 经济学 Q1 ECONOMICS Energy Economics Pub Date : 2025-03-01 Epub Date: 2025-02-03 DOI:10.1016/j.eneco.2025.108285
Qingfeng Cao , Chuenyu Chi , Junhui Shan
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Abstract

Whether Artificial Intelligence (AI) technology can contribute to carbon reduction remains an issue that requires further research. We measure the level of AI technology by the number of AI patents filed in each country, and use panel data from 30 countries spanning 2005 to 2020 to examine the impact of AI technology on carbon emissions. Our findings indicate that AI technology significantly reduces carbon emission levels. This conclusion remains robust after endogeneity and various robustness tests. Mechanism tests reveal that AI technology improves energy efficiency by reducing per capita carbon emissions and the energy intensity of primary energy. Additionally, AI technology reduces carbon emissions by inducing skill-biased and routine-biased technological change. When government regulation is more flexible, the carbon-reducing effect of AI technology is stronger. Further analysis indicates that AI technology has a significant impact on reducing carbon emissions in countries that are closer to the leading country in AI technology, have lower income level, and are highly dependent on traditional fossil fuels. Moreover, the carbon reduction effects of AI technology applied to energy management are more significant. Thus, promoting the innovation and diffusion of AI technology on a global scale plays a crucial role in advancing global carbon reduction targets.
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人工智能技术能减少碳排放吗?全球视角
人工智能(AI)技术是否能为碳减排做出贡献,仍然是一个需要进一步研究的问题。我们通过每个国家申请的人工智能专利数量来衡量人工智能技术的水平,并使用2005年至2020年30个国家的面板数据来研究人工智能技术对碳排放的影响。我们的研究结果表明,人工智能技术显著降低了碳排放水平。这一结论在内生性和各种稳健性检验后仍然是稳健性的。机制测试表明,人工智能技术通过降低人均碳排放和一次能源的能源强度来提高能源效率。此外,人工智能技术通过诱导技能偏向和常规偏向的技术变革来减少碳排放。政府监管越灵活,人工智能技术的减碳效果越强。进一步的分析表明,人工智能技术对那些与人工智能技术领先国家更接近、收入水平较低、高度依赖传统化石燃料的国家的碳排放减少产生了重大影响。此外,人工智能技术应用于能源管理的减碳效果更为显著。因此,在全球范围内推动人工智能技术的创新和扩散,对于推进全球碳减排目标具有至关重要的作用。
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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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