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Research On Urbanization And Real Estate Market Relations Of Changzhou

Posted on:2020-07-21Degree:MasterType:Thesis
Country:ChinaCandidate:L P WangFull Text:PDF
GTID:2439330572959313Subject:Architecture and Civil Engineering
Abstract/Summary:PDF Full Text Request
Urbanization is the inevitable result of the development of human society to a certain historical stage.Through the complex and long process of population and production factors from rural to urban areas,the population is constantly concentrated in the city,the number of cities is increasing and the scale of the city is expanding The In the real estate market is extremely hot today,in the country continue to promote the new urbanization under the background,to understand the urbanization and real estate market development of the interaction between the current development status,how to avoid disadvantages,these are the future of urbanization And the healthy development of the real estate market has important practical significance.The process of urbanization to stimulate the development of the real estate market,the real estate market for urbanization has provided a material basis and physical space,the two interaction,coordinated development.Based on the concept of urbanization and real estate market,this paper takes Changzhou City as an example to analyze the present situation of urbanization and real estate market in Changzhou,and select the urbanization rate(Y)which reflects the urbanization index and the real estate market index(XI),sales of real estate(X2)and per capita GDP(X3)reflecting the level of economic development in Changzhou.Finally,the comparative study of Jiaxing City,which is very close to the population and land area,Analyzes the advantages and disadvantages of the two cities in the coordinated development of urbanization and real estate.Finally,the corresponding conclusions are drawn,the policy suggestions are given,and the shortcomings of the paper are pointed out.
Keywords/Search Tags:Urbanization, Real estate market, Vector auto regression model
PDF Full Text Request
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