Urban housing prices have been the focus of academic and industry attention.The study of the influence factors of urban housing and the root of the difference between cities is conducive to the objective and accurate understanding of the regional imbalance in the development of China’s urban housing market,and to guide the government’s real estate regulation policies.Firstly,this paper uses the panel data of 70 large and medium cities in China from 2003 to 2015 in 30 provinces.From the supply function is decided by the new stock and incremental and by the need to use the function demand and investment demand of City Housing Price equation followed by economic theory,and the choice of real estate investment,credit scale,urban per capita income level,economic fluctuation and population growth of the panel data of city housing price variables in the model.In order to discuss the aggregation effect and spillover effect of geographical location on urban house price,we add the spatial item of urban housing price.We analyze the spatial autocorrelation of China’s urban housing prices from exploratory data analysis and establish spatial models of urban agglomeration with different spatial weight matrixes in deterministic data analysis.We have discussed the different situations of urban housing spillover effect.we discovered(1)The spatial effect of housing price in eastern cities is larger than that in central cities,and the residential space effect of first-tier cities is higher than that of second-tier cities.The reasons for the differences are mainly that the eastern cities mainly include China’s economic development,the real estate market High degree of market size,high real estate prices of the city,these cities belong to the real estate prices rose the most obvious is the beginning,and a higher degree of mutual influence between the market,more closely linked to each other.(2)The mutual influence degree of inter-city house price with similar economic characteristics is greater than that of urban residential price,which is close to geographical distance,ie,the economic characteristics are not similar.Finally,we consider the non-linear effects of population factors on urban house prices,and establish a semiparametric spatial econometric model.We find that the effect of population growth rate on urban housing price growth is nonlinear.The non-linear performance of the urban agglomeration is different in different urban agglomerations:eastern cities have higher population spillovers and greater market potentials when the relative residential prices are lower,which can greatly increase the urban housing prices. |