Spatiotemporal evolution and influencing factors of domestic service industry development in China
Based on the"tianyancha"network big data,we analysis the spatiotemporal evolu-tion and influencing factors of domestic service industry development in China by using the Theil index,spatial autocorrelation and geographic detector techniques.The results show that:(1)The domestic service industry development in China can be divided into four stages:incuba-tion stage,growth stage,rising stage and prosperity stage.From 2000 to 2020,the regional dif-ference of domestic service industry development has been shrinking and greater than the inter-regional differences,with the largest difference in the eastern region.(2)The development level of domestic service industry in China shows obvious spatial differentiation,the low,medium and high-level areas change greatly,but the trend of"east-middle-west"stepwise decline has not changed.Guangdong,Jiangsu and Shandong are always high-level areas.Tibet,Qinghai,Ningxia and Hainan are always low-level areas.At the same time,the spatial distribution of do-mestic service industry development is gathering day by day.(3)In 2000,economic and spatial factors were the main factors,and population factors were the auxiliary factors.While in 2020,economic,population and information factors were the main factors,and spatial factors and en-terprises'own factors were the auxiliary factors.At the same time,the leading factors for the spa-tial differences in domestic service industry development in different regions are different.
domestic service industryspatiotemporal evolutioninfluencing factorsgeo-graphic detector techniquestianyanchaChina
万方数据
维普
