An Analysis on the Spatial Pattern and Influencing Factors of House Price Index in 70 Large and Medium-Sized Cities in China
Yu Xiaofen1,2 Zhan Dongsheng1
(1.School of Management， Zhejiang University of Technology， Hangzhou 310023；2.China Academy of Housing & Real Estate， Zhejiang University of Technology， Hangzhou 310023)
Abstract：Based on the house price index data of 70 large and medium-sized cities in China from 2006 to 2020 published by the National Bureau of Statistics， the spatial pattern and influencing factors of house price index in 70 large and medium-sized cities in China are discussed in detail by using GIS spatial analysis and Spatial Dobbin Model. The results show that： the distribution of house price index in 70 large and medium-sized cities in China shows a spatial pattern that the index of coastal cities is higher than that of inland cities， and eastern cities higher than western cities. The house price index of 70 large and medium-sized cities in China has a certain degree of spatial correlation， but the intensity or direction of spatial autocorrelation is slightly different in different years. The spatial cold and hot spot analysis shows that the hot spots of house price index in 70 large and medium-sized cities in China are mainly distributed in the east and south， and the cold spots are mainly distributed in the central and north. The results of Spatial Dobbin Model show that per capita GDP， the proportion of tertiary industry， currency circulation， per capita total retail sales of social consumer goods and public services are the main factors affecting the spatial differentiation of house price index in 70 large and medium-sized cities in China.
虞晓芬, 湛东升. 中国70个大中城市房价指数空间格局与影响因素分析[J]. 华中师范大学学报（人文社会科学版）, 2022, 61(1): 40-51.
Yu Xiaofen, Zhan Dongsheng. An Analysis on the Spatial Pattern and Influencing Factors of House Price Index in 70 Large and Medium-Sized Cities in China. journal1, 2022, 61(1): 40-51.
2022, Vol. 61 
