Can artificial intelligence technology improve green total factor efficiency in energy utilisation? Empirical evidence from 282 cities in China

被引:0
|
作者
Liu, Yingji [1 ]
Guo, Ju [2 ]
Shen, Fangbing [1 ]
Song, Yuegang [1 ]
机构
[1] Henan Normal Univ, Sch Business, Xinxiang, Peoples R China
[2] Henan Normal Univ, Sch Tourism, Xinxiang, Peoples R China
关键词
Artificial intelligence; Green total factor efficiency in energy utilization; Dual carbon goal; Spatial spillover;
D O I
10.1007/s10644-025-09862-7
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study empirically examines the effects and mechanisms of AI on green total factor efficiency in energy utilization (GTFEEU) using panel data covering 282 Chinese prefecture-level cities from 2006 to 2021. First, the findings demonstrate that artificial intelligence (AI) can considerably improve GTFEEU. Second, AI enhances GTFEEU through mechanisms of industrial structure upgrading, financial development, and government innovation preference. Third, AI application level is the key determinant of overall GTFEEU, with no significant difference in its impact between resource-based and non-resource-based cities. Furthermore, the effect of AI on improving GTFEEU is more pronounced in large cities than in medium-sized and small cities. Fourth, significant spatial autocorrelation is evident between AI and GTFEEU, and the spatial spillover effect is primarily short-term. This study provides valuable insights for policymakers on the effects and mechanisms of developing AI technology for GTFEEU improvement.
引用
收藏
页数:34
相关论文
共 50 条
  • [1] Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China
    Liu, Jun
    Qian, Yu
    Yang, Yuanjun
    Yang, Zhidan
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (04)
  • [2] Can new-type urbanization improve the green total factor energy efficiency? Evidence from China
    Shao, Jun
    Wang, Lianghu
    ENERGY, 2023, 262
  • [3] Can green fiscal policy improve green total factor carbon efficiency? Evidence from China
    Li, Ge
    Wang, Xiaoyu
    JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2024,
  • [4] The Impact of Industrial Robots on Green Total Factor Energy Efficiency: Empirical Evidence from Chinese Cities
    Zhao, Chuanyue
    Zhu, Zhishuang
    Wang, Yujuan
    Du, Junhong
    ENERGIES, 2024, 17 (20)
  • [5] Can artificial intelligence improve green economic growth? Evidence from China
    Yu Qian
    Jun Liu
    Lifan Shi
    Jeffrey Yi-Lin Forrest
    Zhidan Yang
    Environmental Science and Pollution Research, 2023, 30 : 16418 - 16437
  • [6] Can artificial intelligence improve green economic growth? Evidence from China
    Qian, Yu
    Liu, Jun
    Shi, Lifan
    Forrest, Jeffrey Yi-Lin
    Yang, Zhidan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (06) : 16418 - 16437
  • [7] Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities
    Gao, Da
    Li, Ge
    Yu, Jiyu
    ENERGY, 2022, 247
  • [8] Has digital technology innovation improved urban total factor energy efficiency? - Evidence from 282 prefecture-level cities in China
    Xiao, Yuanfei
    Duan, Yijing
    Zhou, Hongye
    Han, Xianfeng
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2025, 378
  • [9] Does internet development improve green total factor energy efficiency? Evidence from China
    Wu, Haitao
    Hao, Yu
    Ren, Siyu
    Yang, Xiaodong
    Xie, Guo
    ENERGY POLICY, 2021, 153
  • [10] Can urban digitalization significantly improve carbon emission efficiency?Evidence from 282 cities in China
    Guo, Siliang
    Ma, Heng
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (19) : 55214 - 55236