Spatial Differentiation Pattern and Its Influencing Factors of Town Industrial Development Level in China:Based on the Number of Industrial Enterprises at Township Scale
Based on the number of industrial enterprises and the data of 30 006 townships in China which were collected in 2020,the spatial pattern of the industrial development level of China's townships was analyzed using the coefficient of variation,spatial classification,spatial autocorrelation,and influencing factors were analyzed by geographic weighted regression and other methods.The results were as follows.①From the spatial grade classification,the high-value and higher-value areas were primarily located in strips along the eastern coast of China and clustered in the Beijing-Tianjin-Hebei region,Yangtze River Delta and Pearl River Delta,while the medium-value and lower-value areas were scattered in the Central China and some units close to the inland in Eastern China.The spatial distribution was mainly around the high-value and higher-value areas,some showed scattered distribution characteristics.The low-value areas were widely distributed in the Western and Northeastern regions,and the agglomeration phenomenon was obvious.②From the spatial association pattern,significant LL areas were mostly distributed in the Western China and Northeastern China,significant HH areas were distributed continuously in the Eastern Coastal Regions,significant LH areas were distributed next to significant HH areas,and significant HL areas were sporadically distributed among significant LL areas.③ From the scale comparison,the pattern of spatial differentiation at the provincial,municipal and county scale was similar to the town scale.With the refinement of scale,the scope of low-value areas expands to the east,while the number of high-value areas decreases with and the distribution is concentrated.From the spatial association pattern,significant LL areas in the west was expanding,the aggregation of significant HH areas and significant LH areas in the Eastern Coastal Region became more obvious.④From the perspective of internal differences,the four major partitions were in order East＞West＞Central＞Northeast.The provincial level pattern showed that Guangdong,Heilongjiang and Chongqing were the three largest provinces,followed by Xinjiang,Tibet and Qinghai,and some provinces in Central China and Eastern Coastal had the smallest differences.The municipal level showed that western and northeastern China was larger than Central China and eastern coastal regions.The distribution characteristics of county level and city level were similar,but there are more high-value areas scattered in the middle east of the country level.⑤From the GWR model,the order of absolute values of regression coefficients was rural urbanization＞rural industrialization＞town commercial vitality＞town population vitality＞town development process＞town development basis＞regional industrial environment＞geographical environmental conditions,but there were different interpretation relationships in space.
level of industrial developmentnumber of industrial enterprisesspatial differentiationinfluencing factorstownshipsChina
NETL
NSTL
万方数据
