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Empirical Research On The Real Estateprice In Different Provinces Of China

Posted on:2009-09-22Degree:MasterType:Thesis
Country:ChinaCandidate:M D LiFull Text:PDF
GTID:2189360245986058Subject:Industrial Economics
Abstract/Summary:PDF Full Text Request
The real estate industry is a key sector of the economy, housing is the basic means of subsistence nationals, so real estate prices is the state of a country's economic indicator, and also is a the major social problems that has high degree of relationship between the people's livelihood and social stability and harmony. Throughout the world, due to sharp falling in property prices lead to the formation of the economic bubble collapse of the national economy and serious injury cases are not uncommon; Look at China, a large number of members of society unable to buy houses because of high housing prices and the complaints are also heard. Therefore, the price of real estate must be given a great deal of concern. In recent years, China has continuously increased the price of real estate trend, while the real estate price changes throughout the gross imbalance, showing significant regional differences. Therefore, this paper focuses on real estate prices and the formation of regional differences exist the empirical study to reveal the factors in the process of the formation of the price of real estate the impact of weight, trying to put through the Empirical Analysis of the corresponding effective policy recommendations.In this paper, the logic structure is, first of all, beginning with China's real estate price formation mechanism, and analyzes the impact of macroeconomic factors in property prices, and on this basis, use the panel data of China's 20 cities, select areas of the GDP, the urban residents per capita disposable income of urban non-agricultural population , Engel coefficient, real estate investment completed for the completion of goods residential area six explanatory variable, the average price for commercial housing units to the dependent variable, the city established commodity prices and their impact on domestic factors between the model results of the study showed that the most resilient explain the average price of commercial housing units is a lag the logarithmic form, the existence of the property market have a certain degree of speculation. Set up the eastern, central and western optimal commercial housing price model, the results showed that the three major areas of residential commodity prices affected by macroeconomic factors are different: average price of commercial housing units on the eastern part of the most influential factor is speculation that the eastern region of relatively high levels of speculation, which will have a certain bubble ; from the central part of the regression equation, the impact of the price of commercial housing units is the largest real estate investment completed for the main central residential prices by supply factors, and the central government policy preferences are closely linked; western influence the price of commercial housing units were the biggest factor is the open -allocation of income, the western part of this real estate prices primarily by the impact of the level of economic development. In addition, the article to regional differences as the introduction of virtual model variables from the analysis results, the Engel coefficient of residential prices in the central and western pulling effect is obvious; Investment in residential real estate prices to a greater impact on the Midwest. Midwest real estate markets are more strictly abide by the law of supply and demand; The eastern part of the real estate market due to speculative comparison, there are certain real estate market bubble, the principle of supply and demand performance not obvious.Against the real estate market prices notable regional differences and the local government act deviation, this paper proposes the central government should be treated differently to the real estate price-control ideas: First, increase the intensity of macroeconomic regulation and control policy, lower real estate market particularly in the eastern region of real estate speculation demand; Secondly, accelerate the development of the western region's economy, housing providers flexibility in the use of subsidies policy, the balance in the housing market due to the development of economic development of different regions; Third, remedy the deviant behavior of local government in the implementation of corrective real estate control policies.
Keywords/Search Tags:real estate price, regional difference, panel data
PDF Full Text Request
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