Research On The Factors Affecting The Price Of Commodity House In Qingdao

Since the first half of 2010, housing prices continue to rise, causing great concern in the community, the Government introduced a series of control policies as soon as possible, trying to effectively curb the rapid rise in housing prices. In this background, academics need to increase the price of commercial housing efforts to draw valid scientific conclusions. The core problem of commercial housing prices is to have a clear understanding of commodity housing price factors. This thesis selects Qingdao to have an empirical study, built commercial housing price index system factors of Qingdao, include of the special factors that affecting prices of commercial residential buildings in Qingdao: marine factors, travel factors, ports and other factors described in detail the theory and quantitative analysis, and reached their commercial housing prices in Qingdao City of coefficients. In this paper, as follows:1. Built system of influencing factors on commercial housing prices in Qingdao.Through extensive literature review and reading a mass of theories, combining the city features of Qingdao, built commercial housing price index system factors of Qingdao, which including the general factors affecting commercial residential price, but also including the special factors in Qingdao.2. Have a quantitative research of the factors affecting the commercial housing prices in Qingdao, the focus of the special factors in Qingdao influence the price of commercial housing.Collect data through empirical research, quantitative analysis of the results obtained this paper, including the important influence factors on the price of commercial housing in Qingdao degree. Several factors affect the number of special results of the analysis: domestic tourism income on housing price effect coefficient 0.0131, that is, every additional billion in domestic tourism income, housing price index rose by 0.0131; inbound tourism revenue impact on the housing price coefficient: 0.0435, that each additional billion Tourism Receipts, housing prices rose 0.0435; port import and export volume effects on the housing price coefficient: 0.0664, that is, total imports and exports for each additional billion dollars, housing prices rose 0.0664.Select Qingdao to have this study is representative, the findings of this paper have an important reference for the housing prices research of other coastal tourist city, and have some reference value for the Government to formulate the policies to control the housing prices.