Does artificial intelligence improve energy productivity in China's industrial sector? Empirical evidence based on the spatial moderation model

被引:0
|
作者
Rong, Jing [1 ,2 ]
Wang, Wei [2 ]
Zhang, Haijun [2 ]
机构
[1] Anhui Acad Social Sci, Hefei, Peoples R China
[2] Chaohu Univ, Sch Econ & Law, Hefei, Peoples R China
基金
中国国家社会科学基金;
关键词
Industrial intelligence; total factor energy productivity; spatial moderation model; global Malmquist-Luenberger; non-radial directional distance function; China; FOREIGN DIRECT-INVESTMENT; CARBON EMISSIONS; ECONOMIC-GROWTH; PERFORMANCE; IMPACT; GENERATION; EFFICIENCY; QUALITY;
D O I
10.1177/0958305X231177732
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study investigates the impacts of industrial intelligence on the total factor energy productivity (TFEP) using extended STIRPAT and spatial moderation models for China's industrial sector. The results show that TFEP and industrial intelligence are both increasing, and industrial intelligence positively affects TFEP, for every 1% increase in industrial intelligence will lead to TFEP growth by 0.121% in the study area and 0.031% in surrounding areas. Environmental regulation, industrial upgrading, and advanced human capital all function as helpful moderators between industrial intelligence and TFEP, that is, for every 1% increase in environmental regulation, industrial upgrading, and advanced human capital, the growth of TFEP caused by industrial intelligence enhanced by 0.003%, 0.009%, and 0.022% in study area and 0.005%, 0.042%, and 0.054% in surrounding areas.
引用
收藏
页码:4026 / 4048
页数:23
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