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Analysis Of The Affecting Factors Of The Chinese Real Estates Price

Posted on:2010-09-02Degree:MasterType:Thesis
Country:ChinaCandidate:L ChuFull Text:PDF
GTID:2189360275997888Subject:Industrial Economics
Abstract/Summary:PDF Full Text Request
As one of the pillar industries, the stability of real estate development is related tothe people's livelyhood. Since the year of 1998, the real estate industry has experienced a period of rapid development. Especially in recent years, the investment and the price of the real estate keep rising. As a whole, the real estate market of the country develops healthily and rapidly, and keeps the equilibrium of supply and demand. But in some distriets, the price of real estate increase too fast with irrational supply structure. In order to keep the Chinese real estate market sustainable and healthy, it is essential to imply macro-control policies to regulate the real estate price. To make better macro-control decision, we must identify which factors have effects upon the price of real estate, which influencing factor is more important than the others.This article first introduced some basic knowledge of real estates price, and the characteristics of real estate prices. Illustrates the impact of real estate price factors by qualitative analysis. Including: their own factors, environmental factors, demographic factors, economic factors, social factors, administrative factors, international factors, psychological factors. And descript each brief factor separately. And put the specific classification of these factors for the demand factors, supply factors and other factors.The focus of this paper are from the perspective of quantitative analysis of the factors that affect real estate prices to domestic prices of merchandise in Beijing as the research object, on the impact of commodity housing prices sort out the factors, the study of residential real estate prices merchandise influencing factors indicator framework, basis 1995-2007, Beijing merchandise residential real estate related data separately from the perspective of demand and supply and other factors analysis of merchandise residential real estate prices in Beijing and its impact on the relationship between factors.The study found: from the resident population, per capita disposable income, sales (turnover) area of demand factors, etc. From building install costs, land costs, the completion of the area, real estate investment constitute supply factors, and so can the impact of the Beijing Municipal Construction merchandise residential real estate Price indicator framework, the main influencing factors are the demand for per capita disposable income of an area of annual sales factors, housing prices and per capita disposable income was a significant positive correlation, with annual sales of merchandise residential area was negatively correlated, and the Beijing-based per capita disposable Price estimates of the proportion of income high, merchandise resulting in higher housing prices. The main influencing factors are Building install supply costs and land costs, housing prices are significantly positive correlation. Other factors, gross domestic product and housing prices are significantly related to the balance of all loans from financial institutions and housing prices are the correlation coefficient shows that housing prices in Beijing and the loan balance in the negatively correlated direction was changed, the loan balance of the impact of housing prices in Beijing, should be reflected in the supply and demand is greater than the impact of supply on demand.In this paper concluded that the regulation of the Beijing merchandise residential real estate prices and the rational development of the residential market to provide a reference. In addition to maintaining the appropriate scale of investment in housing construction, but also take all measures to stabilize land prices and construction costs. Regulate the credit market.
Keywords/Search Tags:Real estates price, Housing market, Influencing factor, The empirical research
PDF Full Text Request
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