Does artificial intelligence have the potential to improve total factor energy efficiency? — Empirical evidence from 30 Chinese provinces

Chenyang Li ()
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Chenyang Li: Ritsumeikan University, Graduate School of Policy Sciences

A chapter in Proceedings of the 2023 3rd International Conference on Financial Management and Economic Transition (FMET 2023), 2024, pp 4-12 from Springer

Abstract: Abstract As the level of AI technology improves, AI technology plays an important role in responding to energy. The article empirically investigates the impact of AI technology on total factor energy efficiency (TFEE) in China using provincial panel data from 2010 to 2019. The finding shows that artificial intelligence technology has a significant positive impact on total factor energy efficiency. As a result, China should accelerate the development and promotion of AI policies in the energy sector, strengthen AI talent training, and expand the use of AI in energy policy formulation to promote the development of the energy industry toward greater intelligence, efficiency, and sustainability.

Keywords: Artificial Intelligence; Total Factor Energy Efficiency; Empirical Analysis (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-272-9_2

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DOI: 10.2991/978-94-6463-272-9_2

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