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The Analysis On Influencing Factors Of The Real Estate Price In Yueyang City

Posted on:2013-05-09Degree:MasterType:Thesis
Country:ChinaCandidate:W W ChenFull Text:PDF
GTID:2249330374970848Subject:Land Resource Management
Abstract/Summary:PDF Full Text Request
Real estate price not only affect the people’s living standards, but also relate the social stability. Facing the rising house price, severe control measures were taken by the government with the purpose of rapidly rising of real estate price. However, house price did not go down at the same time, in the contrast, it raised with the control measures. The rapidly rising house price affected the everyday life of people and reduced the satisfaction with the government. So, we need to study the inherent laws of real estate works, and find the influencing factors of real estate. Meanwhile, effectively control measures muse be made. This paper took the influencing factors of Yueyang city’s real estate price as the studying object. Throng the analysis of Yueyang real estate price, we could find the influencing factors of real estate price.Depend on study of house price influencing factors of demonstrate and abroad, the paper analyzed related principle and theory of real estate price. Then, qualitative analysis was made from macroeconomic factors, demand factors and supply factors. And the situation of real estate market of Yueyang city of2011was analyzed in the paper.Depended on gray relation analysis and multivariate regress analysis, we chose7factors, including per capita gross national product(PCGNP), average disposable income(ADI), real estate investment(REI), home sales(HS), total export-import volume(TEIV), home-completion(HC) and population size(PS), to do quantitative analysis. The influencing factors of Yueyang real estate price value from big to small were PCGNP, ADI, HC, TEIV, HS, REI and PS. The result of multivariate regress analysis shows that when the other factors kept the same, the average sale price of real estate in Yueyang changed as the same as the PCGNP. When the PCGNP rose0.084, the average sale price of real estate price rose1at the same time. The result of gray relation analysis was the same as that of multivariate regress analysis, showing that the main motivation of rising housing price was economic growth.
Keywords/Search Tags:Real estate price, influencing factor, multiple regression analysis, grey relational analysis
PDF Full Text Request
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