ORIGINAL RESEARCH
Intelligent Manufacturing, Man-Machine
Matching Degree and Urban Green
Total Factor Productivity
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1
Institute of Quantitative Economics and Statistics, Huaqiao University, Xiamen 361021, China
2
School of Economics, Xiamen University, Xiamen 361005, China
3
School of Economies and Business Administration, Chongqing University, Chongqing 400044, China
Submission date: 2023-12-24
Final revision date: 2024-02-21
Acceptance date: 2024-04-08
Online publication date: 2024-09-04
Corresponding author
Yang Shen
Institute of Quantitative Economics and Statistics, Huaqiao University, Xiamen 361021, China
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ABSTRACT
With the deep integration and development of artificial intelligence technology in the economy
and society, intelligent manufacturing provides a new opportunity for “overtaking in corners” to
improve green total factor productivity. In order to clarify the relationship between the application
of intelligent manufacturing and local green development, based on the panel data of 262 cities at or
above the prefecture level in China from 2008 to 2019, this paper analyzes the impact of intelligent
manufacturing on the total factor productivity of urban green and investigates the role of man-machine
matching in it by using the panel smooth transformation regression model. The research results show
that the development of intelligent manufacturing can obviously promote the urban green total factor
productivity, but this promotion effect will show an invisible slowdown with the continuous improvement
of the application level of intelligent manufacturing. At the same time, intelligent manufacturing can
significantly improve the green total factor productivity of China’s non-resource cities, cities with
a high level of digital economy development, and eastern regional cities. Further research found that
when the man-machine matching degree crossed the threshold, intelligent manufacturing could fully
release the promotion of green total factor productivity. The research conclusions and suggested
measures are of great significance for China to grasp the technical characteristics and advantages of
intelligent manufacturing and promote low-carbon economic transformation.