SCIENTIA GEOGRAPHICA SINICA ›› 2020, Vol. 40 ›› Issue (2): 182-189.doi: 10.13249/j.cnki.sgs.2020.02.003

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Spatial-temporal Pattern and Influencing Factors of Factor Market Distortion in China

Sun Xiangxiang, Zhou Xiaoliang()   

  1. School of Economics & Management, Fuzhou University, Fuzhou 350116, Fujian, China
  • Received:2019-04-18 Revised:2019-06-13 Online:2020-02-10 Published:2020-04-09
  • Contact: Zhou Xiaoliang
  • Supported by:
    National Social Science Foundation of China(16AZD002)


Compared with the product market, the distortion of factor market is serious. The factor market distortion is calculated in 30 provinces of China by using the transcendental logarithmic function during the period of 2000-2015. This study further analyzes the spatial-temporal characteristics and influencing factors of factor market distortion based on the spatial econometric model. The results indicate that: 1) There are serious distortion in China's factor market from 2001 to 2015, and the factor market distortion has been greatly improved in recent decades. From the geographical distribution point of view, the areas with high factor market distortion are concentrated in the western region, the areas with medium factor market distortions are in the central region, and the areas with low factor market distortions are distributed in the eastern region and the northeastern region. China's factor market distortion shows the characteristics of regional agglomeration. 2) The factor market distortion has significant spatial autocorrelation, that is, the factor market distortion in a region is significantly affected by adjacent regions. Specifically, the Moran Index shows a trend of decreasing volatility. With the acceleration of market-oriented reform, the agglomeration effect of adjacent areas with factor market distortion is weakened. 3) The analysis of influencing factors affecting the factor market distortion based on Spatial Durbin Model shows that urbanization, fiscal decentralization, foreign direct investment and infrastructure have improved factor market distortion, while and the development of state-owned economy have negative impact on factor market distortion. The results of this study provide important theoretical support for deepening the reform of factor market and improving the efficiency of factor resource allocation.

Key words: factor market distortion, spatial-temporal pattern, influencing factors, transcendental logarithmic production function, spatial econometric model

CLC Number: 

  • K901.2