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Yueyang City Commercial Housing Price Changes And Its Influencing Factors

Posted on:2013-05-16Degree:MasterType:Thesis
Country:ChinaCandidate:B JiangFull Text:PDF
GTID:2249330395980155Subject:Public administration
Abstract/Summary:PDF Full Text Request
Housing is a necessity of human life, the development of the real estate needs of social development, and it is the key issue of city residends live and work in peace and contentment happiness. Since1998, the central implementation of the reform of the housing system, the Chinese real estate industry has made a great contribution in promoting economic growth, speed up the urbanization process and improvement of urban living conditions. But in recent years, China’s real estate market prices, especially housing prices are rising too fast, has led to the majority of the social problems and contradictions, housing prices has thus become the focus of the society and the important content of the national macro-control. Carry out real estate prices in the current real estate economy "kidnapping" the overall socio-economic context, policy control to be ineffective, development of the real estate price influence factor and change trend research, has the important practical significance.In this paper, the domestic and foreign existing research on the basis of theoretical results, combined with the development status and characteristics of the real estate market in Yueyang City, using a combination of qualitative and quantitative methods, conducted in-depth analysis of the economic factors affect housing prices in Yueyang City, revealed Yueyang City housing prices are the core driving force, At the same time, through the quantitative model and qualitative analysis of Yueyang city in the future two years house price goes situation undertook forecasting, for the follow-up research and government macroscopical adjusting control provides important basis.Text is divided into seven parts:The second part of the Introduction section presents the background and significance of this research, both at home and abroad about home prices impact factors Research and analysis methods were reviewed in this article is based on research technology roadmap; formed the theoretical basis of commercial housing prices were discussed; conducted a comprehensive analysis of the third part from the natural, social, economic and policy aspects of commercial housing price influencing factors; Part IV through time and space, both horizontal and vertical comparison, Yueyang City of commercial housing price changes the characteristics of a comprehensive, multi-perspective analysis; fifth part of the gray correlation method on the major economic factors affect the Yueyang city commercial housing price changes associated analysis reveals the Yueyang City commercial residential change core driving force; Part VI of the correlation analysis conclusions, using multiple linear regression model and the gray GM (1,1) model, and the combination of qualitative analysis, prediction of Yueyang City commercial housing price trends; part Ⅶ conclusion of each chapter summarized and concluded.Based on the characteristics of real estate prices, the introduction of innovative gray analysis, including gray relational analysis and the gray GM (1,1) prediction model laid the foundation for the application of the method in the field of real estate research. The main conclusions are:(1) to promote the commercial housing price changes in Yueyang City of core power for development costs-Jian’ ancosts, consumer capacity-the per capita disposable income, and supply completion of the area, three factors.(2) gray relational analysis and the GM (1,1) prediction model with a strong practical study of real estate prices.(3) through quantitative modeling and qualitative analysis, forecasting Yueyang City, commercial housing prices will continue to rise in the next two years, but the increase will be somewhat lower.
Keywords/Search Tags:housing prices, Yueyang City, multivariate regression analysis, gray relational analysis, Forecast
PDF Full Text Request
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