| The stability of commercial housing price has a significant impact on the healthy development of the national economy and the stability of the public life.Therefore,it has always been the focus of attention of the government,developers,consumers,scholars,etc.Since the reform of the housing system in 1998,the price of commercial housing in China has experienced rapid growth in more than ten years.High housing price has caused the failure for more and more people to afford housing,and the residential price shows significant regional difference due to the obvious imbalance in regional development in China.At present,researches on the spatial distribution of commodity housing price and the influencing factors are mostly concentrated on certain cities,while there is too little attention paid to understanding of the spatial differences and the influencing factors between cities.As a result,the effects of regulation and control from the government are unsatisfactory due to the insufficient consideration on the influence of spatial effect when the government makes policies.Therefore,it is of great significance for the government to fully understand the spatial distribution characteristics and influencing factors of the commercial housing price in China to carry out targeted policy regulation and to promote the healthy development of the commercial housing market.The study analyzes the spatial distribution laws of Chinese commercial housing price through spatial data visualization,Moran's I,and LISA cluster graphs,taking the commercial housing prices of 296 cities in China for the period from 2006 to 2015 as samples.Secondly,it determines the index of the influencing factors of the commercial housing price through the literature analysis methods and uses the spatial regression model to estimate these influencing factors.Finally,it uses the geographically weighted regression model to explore the regional differences of influencing factors from local perspective and gives some recommendations.The results show that:(1)The prices of commercial housing in Chinese cities are significantly positively auto-correlated.The correlation gradually increases and then decreases along with time,and it will gradually weaken as the distance between adjacent areas increases.(2)The local spatial autocorrelation analysis found that high value agglomeration areas are mainly distributed in the eastern coastal cities,and low value agglomeration areas are mainly distributed in central cities such as Henan Province,Shaanxi Province,and Hunan Province.(3)The changes in the prices of commercial housing in various cities in China are affected by the spillover effect of housing prices in neighboring cities,and the spatial effect is increasing year by year.(4)Some factors,like regional GDP,ratio of the tertiary industry to GDP,per capita disposable income,and investment for real estate development,have significant positive effects on the price of commercial housing,and the proportion the tertiary industry takes becomes increasingly large;saleable area of commercial housing has a significant negative impact on price,while permanent residents and local fiscal revenue have no significant effect on the price of commercial housing.(5)According to the results of geographically weighted regression,it is found that the impacts of various influencing factors on the price of commercial housing have significant regional differences,and these impacts shift over time.Finally,according to the results of the analysis,some suggestions are given on the reasonable regulation of commercial housing price and the promotion of the healthy development of the commercial housing market. |
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