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

DOI

10.2991/978-94-6463-272-9_2How to use a DOI?

Keywords

Artificial Intelligence; Total Factor Energy Efficiency; Empirical Analysis

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.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Chenyang Li
PY  - 2023
DA  - 2023/10/15
TI  - Does artificial intelligence have the potential to improve total factor energy efficiency? — Empirical evidence from 30 Chinese provinces
BT  - Proceedings of the 2023 3rd International Conference on Financial Management and Economic Transition (FMET 2023)
PB  - Atlantis Press
SP  - 4
EP  - 12
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-272-9_2
DO  - 10.2991/978-94-6463-272-9_2
ID  - Li2023
ER  -