GEOGRAPHICAL RESEARCH ›› 2019, Vol. 38 ›› Issue (2): 285-296.doi: 10.11821/dlyj020170219

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Spatial pattern and influencing factors of the equalization of basic education public service in China

Fan WANG1(), Yongping BAI1(), Liang ZHOU2,3, Xuepeng JI1, Zhibang XU2, Fuwei QIAO1   

  1. 1. College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    2. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China
    3. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2017-03-19 Revised:2018-08-11 Online:2019-02-20 Published:2019-02-20

Abstract:

With the rapid socio-economic development and the progress of urbanization, the demand for basic education public service is increasing both in rural and urban areas. As a result, the issue of regional and urban-rural non-equalization has become increasingly prominent, which significantly affects the development of the harmonious society. Under this background, the paper discussed the equalization of basic education public service. Based on the POI data of basic education facilities, the spatial pattern and the influencing factors of the equalization of basic education public service in China were studied with the method of ArcGIS spatial statistical analysis functions, such as cartogram, kernel density, geographical weighted regression(GWR) and the exploratory sequential data analysis (ESDA). The results show that the basic education public service of eastern and central China accounts for about 65%, and the high-value regions of the basic education public service are observed in urban agglomerations of China, while the low-value regions are mainly located to the west of the "Hu Line". The low-value regions of the preschool education public service per capita are found in the central and western regions of China. Compared with the elementary and secondary education public service, the non-equalization situation of the preschool public service is more obvious. The high-high concentrated regions, the elementary and secondary education public service per capita highly owned regions, and the low-low concentrated regions are distributed all over the country. In general, the equalization of regional basic education public service per capita is superior to the absolute numbers. The spatial heterogeneity is recognized by geographical weighted regression model. The resident population, tertiary industry proportion, and urban built-up area are the major factors influencing the spatial pattern of the equalization of basic education public service. Education fiscal expenditure, GDP per capita and the fixed asset investment are the secondary driving forces of the spatial pattern of the equalization of basic education public service.

Key words: basic education public service, equalization, spatial pattern, influencing factor, POI