Acta Geographica Sinica ›› 2021, Vol. 76 ›› Issue (12): 3061-3075.doi: 10.11821/dlxb202112013

• Regional Development and Carbon Emissions • Previous Articles     Next Articles

Spatio-temporal evolution and influencing factors of total factor productivity in China's manufacturing industry

WANG Zeyu1(), WANG Yanxi2, ZHAO Li2, ZHAO Lu1   

  1. 1. Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, Dalian 116029, Liaoning, China
    2. School of Geography, Liaoning Normal University, Dalian 116029, Liaoning, China
  • Received:2020-05-14 Revised:2021-09-24 Online:2021-12-25 Published:2022-02-25
  • Supported by:
    Youth Talent Foundation of Organization Department of Liaoning Provincial Party Committee(XLYC1907027);Social Science Program of Liaoning Province(L20AJY003);Social Science Federation Program of Liaoning Province(2020lslktqn-048)

Abstract:

Improving total factor productivity (TFP) in the manufacturing industry is essential to implementing China's manufacturing power strategy. In this study, we employed the super-efficiency SBM model, standard deviational ellipse, spatial autocorrelation, and the geographic weighted regression (GWR) to analyze the spatio-temporal evolution and influencing factors of TFP in China's manufacturing industry from 2002 to 2016. The main conclusions can be drawn as follows: (1) During the study period, the overall trend of TFP in China's manufacturing industry showed an upward tendency of fluctuation, with an increase from 0.58 in 2002 to 0.80 in 2016. (2) The center of the gravity of TFP in China's manufacturing industry showed a "southwest-northeast-northwest" spatial evolution pattern, with its moving distance and speed gradually shrinking. The standard deviation ellipse was mainly located in central and eastern China with its distribution pattern shifting from northeast-southwest to true north-south while tending to scatter in the northeast-southwest direction and polarized in the southeast-northwest direction. The turning angle showed a trend of "shrinking-increasing-shrinking". (3) The positive spatial correlation of TFP in China's manufacturing industry gradually weakened during the study period. High-high agglomeration areas were mainly concentrated in coastal provinces and cities of eastern China such as Jiangsu and Shanghai, while low-low agglomeration areas were mainly in Shaanxi, Gansu, and Sichuan. (4) There are obvious spatial heterogeneities in the factors influencing the TFP of China's manufacturing industry. Financial development is the leading factor in the improvement of manufacturing TFP. Opening-up, industrial agglomeration, and transportation infrastructure have a positive effect on the TFP in the manufacturing industry, while the level of informatization has a restraining influence.

Key words: manufacturing industry, TFP, spatio-temporal evolution, influencing factor, China