| At present,the real estate market of our country has the situation of regional differentiation.Housing price is related to people's livelihood.At this stage,all sectors of the society pay attention to housing price generally.The government department emphasizes to adopt the strategy of "implementing different policies according to different urban conditions" to control housing price.The academia also analyzes the reasons for the fluctuation of housing price.From the perspective of housing demand,this paper holds that urban population and industrial structure are the basis of housing investment and consumption,which are the reasons for regional differences in China's real estate market,and it assumes that there is an interactive relationship between population aging and industrial structure,thus affecting housing prices.In order to get the answer,the research process and conclusion are as follows:After in-depth reading and combing of the relevant literature at home and abroad,the factors that affected the real estate price were analyzed,and the two relationships of population aging,industrial structure and real estate price were combed out.Secondly,the basic concepts of population aging,industrial structure and real estate price were combed and analyzed.The relationship between population aging and industrial structure might contribute to high housing prices,while there was a certain interaction between population aging and industrial structure.Industrial structure was not only the intermediary variable of population aging on housing price,but also the regulating variable.In this study,industrial structure was used as the regulating variable.Then,the development process of the relevant research and the current characteristics of the research object were combed.Finally,on the basis of the above theoretical research,all kinds of relevant macro and micro indicators that affected the overall real estate market were eliminated.The impact of China's aging population and industrial structure on China's housing price was the focus of research.Based on the comprehensive analysis of the relevant academic literature and specific theories at home and abroad,the index to measure the aging degree of population,the adjustment level of industrial structure and house price in China was obtained.Usingpanel data from 31 provinces in China from 2004 to 2018,a regression model of population aging,industrial structure and house price was established,and the relationship among them was studied in depth.The results showed that the degree of population aging and industrial structure had a significant positive correlation with housing prices.And through the adjustment of industrial structure,the interaction between population aging and industrial structure has a significant negative correlation with housing prices.That is to say,the aging population and industrial structure have a certain effect on housing prices.In order to prove the stability of the empirical results,this paper also used the dynamic panel model to control the endogeneity,and tested the relationship between the cross items of population aging,industrial structure adjustment,population aging and industrial structure adjustment and house price.The structure was consistent with the static regression structure.In a word,after combing the basic theory and literature,this paper proved that the aging population and industrial structure are the important factors of housing price differences in different regions of each province through empirical analysis. |
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