Research On The Temporal And Spatial Variation Characteristics And Influencing Factors Of The Main Cities Commercial Residential Housing Price In China

Since China’s reform and opening up,the rapid development and the rise of the real estate industry has become the most important engine of the giant China economic aircraft carrier.Beginning in 2015,with the "Digest the Inventory ",housing prices fell into a new round of rising,became the focus of Chinese public opinion one more time.At present,researches about the price of commodity housing usually focus on a single regional core city or a provincial capital city.The national level,the commodity housing price researches mainly used provincial panel data,spatial correlation analysis is also based on the provincial scale,studies on nationwide prefecture-level cities are less.Based on the statistical data of 212 cities,this paper adopted the spatial interpolation,spatial autocorrelation analysis and Panel data fixed effects model methods,analyzed the temporal and spatial variation characteristics and influencing factors of the main cities commercial residential housing price in China.(1)The average housing price grows presented "S" type and the commodity residential house prices in different regional cities keep rising trend overall from 2009 to 2014.The housing prices of the east is higher than the national average price,significantly ahead of the middle and west.The middle and west below the national average price,and the west is higher than the middle.Three coastal economic regional housing prices are higher than the national average and other areas are below.In addition,First-tier cities prices significantly higher than the national average price and the second and third tier cities average,growth trend is most obvious,the biggest increase.(2)Compared with 2010,2012,2014 three phase maps,there is an obvious regional heterogeneity and cluster of the commercial housing prices on the spatial distribution.The results show that the prices of the eastern coastal areas are higher than the inland,average housing prices of provincial capital cities belong to high value,have become the second extremum type of hot spots across the country,the growth range of Hubei,Anhui,Jiangxi provinces in the middle reach of Yangtze river is the most obvious.Meanwhile,the commodity residential housing prices on the global and local spatial correlation are significantly positive correlation from 2009 to 2014.(3)The 212 samples cities are divided into five types by clustering analysis,through the analysis of different types of cities,we found that because of different development level of social economy and the real estate market maturity,the influencing factors of commodity residential housing prices are significantly different.Macroeconomic and housing prices have a very obvious dual promotion effect,so the GDP has a positive correlation between the housing prices in all the influencing factors.Urban per capita disposable income and the percentage of the third industry also have positive correlations with prices,on the contrary,sold area of houses has negative correlation.Interest rates have regional difference and time lag,its relationship with the prices will vary with the cities.