Study of total factor productivity on China’s science and technology service industry: provincial efficiency comparatively using 2010-2019 data

ABSTRACT

This research describes the industries’ development and efficiency distribution, investigates the process of industry efficiency influence of these industries’ agglomeration effect on total factor productivity (TFP) change based China’s science and technology service industries from 2010 to 2019 data. We analyse the main factors influencing TFP change and the stage effect difference of significant factors through using linear and non-linear regression equations by construct the panel regression equations. The empirical results show:1) the overall trend of science and technology service industry agglomeration in China is declining; 2) Provinces and regions exhibits a trend of respective agglomeration within the economic belt; 3) the different location entropies of the five regions lead to obvious differences in the development stages; 4) the influences of technology progress and foreign trade on TFP efficiency changes are generally significant; 5)Science and technology service industry have improved industrial efficiency in the central and western regions and made it easier for these regions to break through bottlenecks. We conclude that industrial efficiency improvements should be based on technology upgrading and expansion in infrastructure allocation, also offering more realistic solutions to promote system construction and interregional policy coordination.

KEYWORDS:

• Science and technology service industry
• total factor productivity
• provincial convergence
• threshold effect

JEL CLASSIFICATION:

• C33
• D24
• D57
• E17
• F12

Acknowledgments

This work was supported by 2018 [Jiangxi Young Jing-gang Scholar Award plan]; [National Social Science Fund Project] under Grant [number 20BTJ018]. Jiangxi Provincial Department of Education in Science and Technology project 2019 under Grant [Number GJJ190271].

Disclosure of potential conflicts of interest

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Jiangxi Provincial Department of Education in Science and Technology project [GJJ190271]; National Social Science Fund Project [20BTJ018]; 2018 Jiangxi Young Jing-gang Scholar Award plan.