The Impact Factor Of Commodity Housing's Price Analysis In Xi'an And The Price Prediction

With our country reformed and opened up, the housing system has been changed over. And the merchandise residence industry has developed quickly. the merchandise residence market scale is more and more large .At the same time, the price of the merchandise residence has risen much .more and more people buy the building difficultly . The problem the merchandise residence's price is too high caused more and more people to concern it. What's the factor cause the merchandise residence's price to keep on rising? In this paper, I took the merchandise residence market at Xi'an City as an example, carried on qualitative analysis and quantitative analysis for this problem, and estimated the merchandise residence's price in Xi'an City .The purpose lie in this text is to find the extraordinary factor to influence the merchandise residence's price at Xi'an City, objective, right of understanding, provide the reference for the decision of each participant of the merchandise residence market.First of all, this paper argues that the relationship between supply and demand determines the price of the merchandise residence. All the factors on the impact of merchandise residence's prices are affected by influencing the supply and demand of Commercial residential .The second, basing on the qualitative analysis, I analysis quantitatively the relationship between the prices of the impact factors. Housing prices of goods in Xi'an as the dependent variable to Xi'an GDP, Xi'an capita disposable income of the year, non-agricultural population in Xi'an, the completion of area development costs, sales and other indicators as independent variables, through the establishment of a single equation multiple regression model . The model included in the disposable income of residents, GDP, residential area of the completion of three variables that influence these three factors is the key to commercial residential buildings in Xi'an factors. After the establishment of the use of the single-equation regression model to predict housing prices. Predictive value of 4185.67yuan per square meter and 4990.14yuan per square meter, the residential average price of goods in 2008 the actual value and predicted value is closer to. Finally, in accordance with the results of quantitative and qualitative analysis, I said some reasonable policy recommendations.