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Research On The Spatial And Temporal Distribution Rule Of Urban Residence Price

Posted on:2013-02-16Degree:DoctorType:Dissertation
Country:ChinaCandidate:H CengFull Text:PDF
GTID:1119330362466725Subject:Forest Engineering
Abstract/Summary:PDF Full Text Request
Housing prices has drawn universal concern of all walks of life in China. The issue ofhousing prices is not only an economic issue but also a political one. Subsequently, a rational andrealistic analysis and study of housing prices is of vital signiifcance.Based on hedonic housing price theory, taking location factor and time factor within a peirodinto consideration, and via comprehensive study of the influential factors on housing pirces,thepaper reveals possible distirbution rules and evolution trend over time of housing prices. Theresidential communities in Nanjing (representative of big cities) and Jiangmen (representative ofsmall and medium cities) are taken as the empirical study. Via collection and disposal of theaverage prices of the residential communities and the influential factors of the average pirces,average price data base and influential factor data base of the residential communities in the twocities take shape. Through exploratory spatial data analysis and conifrmative spatial data analysis,it is concluded that the residential communities in the two cities are of overall spatial correlationand local spatial correlation. Besides, the residential communities are classified according tolocal spatial correlation. The application of spatial lag model and spatial error model onregression analysis of the average prices of the residential communities veriifes the rationalityand applicability of the foregoing models. Geographic weighted regression model is applied toanalyze spatial instability of the influential factors of the residential communities. By combiningspatial econometric analysis result and interpolation technology in geostatistics, and usingUniversal Kriging method to carry out spatial interpolation of the residential communities, thespatial distirbution rules and evolution trend within a peirod of time, i.e. spatial and temporaldistirbution rules are revealed.Finally, in a bid to ease the pressure of peak center of the residential communities, and torationalize the distirbution mode of urban housing pirces,practical suggestions are proposedbased on the spatial distirbution and spatial and temporal evolution rules of the average prices ofthe residential communities in the two cities.
Keywords/Search Tags:Housing price, Spatial calculation analysis, Geographically weighted regressionmodel, Spatial interpolation, Spatial and temporal distirbution
PDF Full Text Request
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