Study On The Difference Of Residential Real Estate Prices In The Perspective Of Floating Population

Ensuring and improving people's livelihood,affect public welfare and social harmony and stability,the housing problem is the people's livelihood problem is the development of the society,is a matter of economic development,social harmony and stability,and the people live in.Twenty years have passed since the introduction of the reform of the housing system to the present.Although major breakthroughs have been made in the past 20 years,there are still problems and problems that cannot be ignored.The purpose of this paper is to from the Angle of migration residential commercial housing price studies the regional differences,so as to improve people's livelihood and solve the problems existing in the development of housing to provide theoretical and practical basis.This article first residential commercial housing prices in China and the regional distribution of floating population,analysis the characteristic of the floating population,according to the status quo between features leads to the research question of this article,analyzing the relationship between the floating population and the residential housing price.Provincial level of the floating population in our country,real estate development investment,average wage employment in cities and towns,population,number of students of common colleges and universities,the second industry in the proportion of GDP,the third industry in GDP proportion,building complete cost data and real estate taxes of nine relevant indicators,calculated residential commercial housing price and the grey correlation degree of each index of the analysis of the effect of each index for residential commercial housing price,and then build panel data fixed effects model,proved that the floating population impact on housing prices in the differences between the provinces.According to that,the flow time of floating population census register,level of education and career,the four dimensions to 13 by the impact indicators,and selection of working age population proportion in the population of permanent residents,urban employment personnel average salary,the cost of real estate development investment,building complete,real estate tax,the second industry and the tertiary industry in GDP proportion these seven indicators as control variable,the establishment and long-term equilibrium model of housing prices,influence of the floating population residential,a detailed analysis on the regional differences of commercial housing prices.Based on the grey correlation analysis method,with the national 31 provinces and municipalities directly under the central government and autonomous regions data as samples,analyzed the dynamics of all indicators of residential commercial housing prices in the region factor correlation sort,the proportion of the working-age population > the tertiary industry accounts for a share of GDP > the number of students in regular institutions of higher learning > average wages of urban workers > the second industry is the proportion of GDP = investment in real estate development = the floating population > real estate tax > building complete cost.And then by constructing panel data model to prove out the floating population's influence on the residential housing price is positive,and different provinces,municipalities and autonomous regions of the floating population size differences influence on residential commercial housing prices.Based on the sixth census data,the establishment of multiple linear regression model,through the model of adjustment and inspection,to determine the account that the number of indicators in the province,leaving that 6 years the number of index,the number of people with higher education background index,quantitative index,clerks,and professional and technical personnel and related personnel quantity index,state organs,organizations,enterprises and institutions,head of quantitative index between the six indicators in the regional differences,causing the floating population residential commodity house price presented the influence of regional differences.Finally,combining with the actual situation of China's real estate market and floating population,relevant policy Suggestions are put forward.