Research On The Convergence Of Housing Prices And Its Influencing Factors In The Urban Agglomerations In The Yangtze River Delta Based On Spatial Measurement Methods

Since the reform and opening up,the regional cooperation of China's economic development has been deepening.As an important pillar industry of the national economy,the real estate industry plays an important role in the process of regional economic linkage.In recent years,the national real estate market has developed rapidly,especially in the Yangtze River Delta,which has promoted the continuous rise of urban housing prices in the region.But at the same time,the price level of 26 cities in the Yangtze River Delta is still uneven,there is a certain gap between the cities.Therefore,it is very important to study the housing price difference in the Yangtze River Delta,and it is also of great significance to discuss the convergence of housing price and its influencing factors.In this paper,the convergence model of economic growth is applied to the real estate industry to discuss the convergence of regional house prices in China.According to Tobler's first law of geography,everything in the world is related.In this paper,the spatial measurement method is used to study the convergence of housing prices between cities in the Yangtze River Delta,avoiding the premise that the traditional measurement method assumes data independence.Furthermore,cluster algorithm is used to explore whether convergence club is formed.Finally,according to the analysis of convergence results,the paper discusses the internal mechanism of housing price convergence,that is,the analysis of the main factors affecting housing price convergence,and puts forward the corresponding policy recommendations according to the research results.Based on the data of cities in the Yangtze River Delta from 2001 to 2016 as samples,after verifying the spatial correlation of housing price data,this study establishes a spatial error model and a spatial lag model to study the convergence of regional housing prices in China,and draws the following main conclusions: there is a periodic ? convergence of housing prices,and the absolute value of the difference decreases after the introduction of spatial measurement model;in the use of transmission In the descriptive statistical study,there is no ? convergence in theYangtze River Delta,but after the introduction of spatial econometric analysis,it is found that there is ? convergence in the housing prices,that is,the regions with low initial housing prices have higher growth rates;according to the clustering algorithm,four convergence clubs are spontaneously formed among cities in the Yangtze River Delta;in the aspect of influencing factor analysis,through ADF Test,co integration test,Hausman test,using the fixed effect model,the paper concludes that urban per capita disposable income,population density,per capita traffic mileage,lagged growth rate of the first stage house price are the main factors affecting the convergence of house price.