Influencing Factors Of Housing Prices In Beijing-tianjin-hebei Region Based On Spatial Measurement And House Price Convergence Research

In recent years,my country’s real estate market has been sluggish,the growth rate of real estate investment has slowed down,the sales of commercial housing have decreased,and the transaction volume of the land market has decreased.It can be controlled,and the general trend that it can continue to develop well has not changed.Since the implementation of the coordinated development strategy,the Beijing-Tianjin-Hebei region has continuously strengthened infrastructure construction,optimized regional traffic conditions,strengthened communication and understanding between regions,and promoted the common development of the Beijing-Tianjin-Hebei urban agglomeration.At the same time,we also need to pay attention to the Beijing-Tianjin-Hebei region.The coordinated development of the real estate industry.Studying the factors affecting housing prices in the Beijing-Tianjin-Hebei region based on spatial econometrics can understand the spatial structure of housing prices and promote the further development of the real estate industry in this region.This paper selects qualitative analysis and quantitative analysis methods to explore the influencing factors of housing price changes in the Beijing-Tianjin-Hebei urban agglomeration.This paper analyzes the current situation of the changes in housing prices in the Beijing-Tianjin-Hebei region from 2003 to 2019 and the main factors affecting the changes in housing prices,such as regional GDP,fiscal revenue and fiscal expenditure,real estate development investment,population,and household savings deposits,and establishes statistical charts.The trend of each indicator change in 13 cities was compared,and corresponding analysis was made.Then it introduces spatial correlation,Moran index,spatial weight matrix and related concepts of establishment and selection of spatial econometric model;selects the housing price data in Beijing-Tianjin-Hebei region from 2003 to 2019 to establish and analyzes the global Moran index table;2003,2008,2014,and 2018 as examples,establish and analyze the local Moran index scatter plot,quartile map,Lisa significance map,and Lisa cluster map of housing prices in the Beijing-Tianjin-Hebei region.Afterwards,an empirical analysis of the spatial econometric model was carried out,and an ordinary regression model was established for the data of house prices,population,residents’ income,residents’ deposits in the area of GDP,and real estate investment in the Beijing-Tianjin-Hebei region.Determine the selection of the spatial Durbin model,and then determine the selection of the fixed effect model according to the results of the Hausman test;compare the spatial fixed,time fixed and double fixed effect models,and finally select the spatial fixed effect panel space Durbin model for progressive analysis,and then analyze the spatial fixed SDM model The direct,indirect and total effects of housing prices;analyze the convergence of housing prices,establish σ convergence and β convergence model,observe whether housing prices have convergence,and finally find that there is no σ convergence in housing prices in the Beijing-Tianjin-Hebei region from 2003 to 2019,but there isβ convergence.Based on the results obtained by the model,this paper puts forward countermeasures and suggestions from four aspects: improving the upgrading and transformation of the industrial system,maintaining the steady growth of economic development,formulating relevant policies to regulate housing prices,and introducing housing price policies in various cities,so as to optimize cities for the Beijing-Tianjin-Hebei region.Layout,improve population density,control changes in housing prices,and promote the steady and orderly development of the real estate industry in the region to open up ideas.