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Analysis On The Factors Affecting The Price Of Commodity House In Wuhan

Posted on:2010-11-20Degree:MasterType:Thesis
Country:ChinaCandidate:Q F LiFull Text:PDF
GTID:2189360302955247Subject:Land Resource Management
Abstract/Summary:PDF Full Text Request
In recent years, with Wuhan commodity house increase in price rapidly, the problem of commodity house prices caused deeply concerns. The author analyzes of qualitative and quantitative on factors that cause commodity house prices rapid growth in long time.First of all, the author trys to qualitative analyze the factors affecting Wuhan commodity house price in the supply and demand way. Demand factors include Wuhan gross domestic product (GDP), the per capita disposable income of urban population, the number of urban housing demolition area, and inflation, interest rates, and housing land price, expectations, the stock market, the national policy, taxes, exchange rates, circumjacent environment, family structure, the geographical position, building houses shape, architectural structure, construction quality, building model, floor, orientation, decoration, equally Shared area size etc. More than 20 variables, these factors affected by the commodity house of supply and demand and production cost, affect the price of commodity house.Then in Wuhan commodity house price influence factors are quantitatively analyzed. Useing the datas from 1998 to 2007 in Wuhan city, the relevant data of GDP per capita disposable income, city, city residential population quantity, demolition area, the inflation rate, the benchmark interest rate, and housing land price index of 7 through theoretical assumptions, independent, the multiple regression model, down, and estimates parameters of model to test the hypotheses and economic analysis. Conclusion: the urban house dismantlement area, the inflation rate, the benchmark interest rate, and housing land price of commodity house prices have significant influence of housing land price, the price of commodity is the main reason, the standard partial regression coefficient 38.2%.Finally, the dissertation research conclusion compared and discussed the research achievements at home and abroad, points out the differences and similarities between this deficiency and need to solve problems, then puts forward relevant policy Suggestions.
Keywords/Search Tags:commodity house price, Analysis of Multiple Linear Regression, Wuhan
PDF Full Text Request
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