Acta Geographica Sinica ›› 2018, Vol. 73 ›› Issue (6): 1065-1075.doi: 10.11821/dlxb201806006

• Regional Development • Previous Articles     Next Articles

Spatial heterogeneity analysis of regional economic development and driving factors in China's provincial border counties

CAO Xiaoshu(),XU Jianbin   

  1. School of Geography Science and Planning, Sun Yat-Sen University, Guangzhou 510275, China
  • Received:2017-10-01 Online:2018-06-10 Published:2018-06-04
  • Supported by:
    National Natural Science Foundation of China, No.41671160


The economic development difference index and spatial autocorrelation model is used to analyze the different patterns of economic development in China's provincial border counties. And the spatial heterogeneity of regional economic development and its driving factors were studied by using Ordinary Least Square (OLS) and geo-weighted regression model (GWR). The results show that the counties' economic development of the provincial border areas in China has significant spatial agglomeration, and the areas with large differences in border economic development are concentrated in the border areas such as Inner Mongolia-Gansu, Inner Mongolia-Ningxia, Shaanxi-Inner Mongolia and other border areas. There is a negative correlation between the macroeconomic regulation and the economic development of the western region. The influence of educational development level on county economic disparity shows the regional differentiation of poverty and developed counties. There is a positive correlation between the compactness of the boundary, the terrain fluctuation degree and the provincial economic development at the provincial boundary. Traffic dominance and industrial structure factor show a positive correlation trend in terms of the difference of county economic development. This paper analyzes the differences between the influencing factors and the direction of the impact of different factors on the development index of county economic development in different counties. It provides scientific basis for rationally regulating the elements of development in different regions, narrowing the economic development differences in the border areas and setting up different provincial border development strategies.

Key words: provincial border area, differences in economic development, driving factors, spatial heterogeneit, geographic weighted regression, China