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 42 条
  • [41] Can Computer Technology, Semiconductors, and Artificial Intelligence Shape a Sustainable Future? Evidence From Leading Semiconductor-Producing Countries
    Nazir, Marina
    Rasheed, Muhammad Qamar
    Yu, Xiao Hong
    Ahmed, Zahoor
    SUSTAINABLE DEVELOPMENT, 2025,
  • [42] Influence of artificial intelligence applications on total factor productivity of enterprises-evidence from textual analysis of annual reports of Chinese-listed companies
    Zhong, Yilin
    Xu, Feng
    Zhang, Longpeng
    APPLIED ECONOMICS, 2024, 56 (43) : 5205 - 5223