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Analyses On The Affecting Factors Of The Real Estates’ Price In Hefei

Posted on:2015-02-18Degree:MasterType:Thesis
Country:ChinaCandidate:X WangFull Text:PDF
GTID:2309330461498683Subject:Industrial Economics
Abstract/Summary:PDF Full Text Request
The real estate industry has developed rapidly since the welfare devoting system was conceled in 1998 in our country, which becomes gradually the important part on stimulating China’s macroeconomic development, and also the most important factors which determine thousands of people’s welfare. At the same time, the prices of commercial residence have also become higher and higher, even to a irrational level. Aimming to control the prices and smoothen the industry, the government has issued a series of adjustment and control policies. However, the effect is not good. Though the Golden decade, the real estate market is in a certain condition of adjustment and optimization, when it is more significant to get into Silver decade to acquaint the growth potential, risk exposure and price variation. Under this background, the paper is expected to evaluate the potentiality and venture of the real estate market and investigate the cause for the price rising. Then, we can take corresponding control measures to promote the healthy and stable development of the real estate market with the theoretical and data basis.Based on the literature review and influence factor analysis of the estate prices in China, the paper analyses the marketing character as the vehicle of price firstly taking the prices of commercial residence as a point penetration, what performs more widely and sensitively. And then a analytical framework is constructed to study the price variation. Moreover, Grey correlation and Linear regression is taken to the systematic analysis of the influence factor of price. It shows that (1) the estate market holds more positive catalysts, develops more steadily, spurs higher price and presents regional with opportunity and challenge together. (2) the price of Hefei is related to macro-economic indicators closer, and then demand index and the price level. (3) In recent years, the prices are formed by different decision and behavior of different agent and the funding level as so on.
Keywords/Search Tags:The real estate prices, influence factor, Grey correlation, Linear regression
PDF Full Text Request
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