Research Of Chinese Population Age Structure Impact On House Prices

The problem of Population and housing prices to has become hot topics in today’s society. The two problems restrict the economic development in our country, political stability, social harmony, life happiness, and so on several aspects. Housing is not only a shelter space and guarantee basic human survival demand facilities, but also the employment opportunities in the development of economy, and the guarantee of public service, to live and work in peace and contentment.The paper is divided into six parts. The first part is the introduction, mainly introduces the research background of the paper. Puts forward the research question and research perspectives, has been clear about the study of theoretical significance and practical significance. And put forward the basic content of research ideas, research framework and research, this paper introduces the main research methods. The second part is the Literature review, From two aspects of foreign and domestic reviewed the related literature on the impact of population structure on commercial housing price, and the existing literature are summarized and review. Finally, find out what not to do in the past research studies and explain where is different with previous research in this paper. The third part is the population age structure analysis of the influence of commercial housing price reason. Detailed in this chapter discusses the comprehensive classification standard of population structure, population age structure belongs to the category of the structure of the population natural structure. In the population age structure,15-64-year-old adult population, children’s dependency ratio, elderly dependency ratio changes in the data will have a certain influence on commercial housing price. And analyzes the impact mechanism.First of all, from the population age structure, sex structure, urban and rural structure three angles in recent years, the change trend of China’s population structure are introduced. Then, it introduces the latest development of the real estate market. Finally, the population age structure and the correlation of house prices is analyzed. The fourth part, China’s population age structure changes and the commodity house price changes in comparative analysis. First, this paper introduces the China’s population age structure change trend and characteristics of recent years. Then, introduces the latest development of the real estate market. Finally, the population age structure and the correlation between the price of house is analyzed and forecast.. The fifth part:China’s population age structure change econometric analysis of the impact of house prices. Use from 1998 to 2014, China’s population structure and changes in the real estate market price data, analysis the correlation between population age structure changes and house price changes, and made a regression analysis and multiple regression analysis. Use of econometric software is stata12.0. Focus on variable for total dependency ratio,15-64-year-old adult population, children of elderly stroke than raising ratio etc, control variables for the urbanization rate and population sex ratio and so on. The sixth part:conclusion and suggestion. This chapter combines the research conclusion of this article, from the perspective of population age structure put forward the healthy development of real estate related policy Suggestions, for example, to carry out comprehensive two child policy, restore the demographic dividend advantage; Strong commercial housing construction is suitable for the elderly living, etc. To promote long-term healthy and steady development of commercial housing market.