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华中科技大学硕士学位论文武汉市房地产业与城市经济的协调研究姓名：魏步青申请学位级别：硕士专业：土地资源管理指导教师：谭术魁20090527I2007IIAbstractWithmorethan10yearsrapiddevelopmentofrealestate,thisindustryhasbeenintothemostdifficultperiodofindustrialadjustmentsince2007.Unfortunately,thepresenthundred-yearinternationaleconomicalandfinancialcrisishascausedadverseeffectsonrealestateandeconomicdevelopment.Atthistime,constructionofenvironmentalfriendlyandresource-savingsocietyaroundWuhanmetropoliscirclehasbeenalsoconsideredtobeanopportunityforeconomicdevelopment.Therefore,itiscrucialtoinvestigatetheharmonizationofrealestateandurbaneconomicdevelopmentofWuhancitywiththecomplexsituation.Therelativeissuehadbeendiscussed,butstudiesmainlyfocusedonthemacro-researchfromdifferentperspectives.Inthiswork,therelationshipsbetweenthedifferenttypesofrealestateandeconomicdevelopmenthavebeendiscussedinmoredetailbasedonthetheoryofrealestateandurbaneconomy.Thefirstpartofthisworkdescribedthesignificanceofthetopic,researchmethodsandideas,andpreviousstudieswerereviewed.Abriefintroductionofresearchmethodsusedinthispaperwaspresentedinthesecondpart.Inthethirdpartofourresearch,co-ordinationmodelbetweenrealestateandurbaneconomywasestablishedanddescribedindetail.ThenthemodelwasusedtoinvestigatetheharmonizationofrealestateandurbaneconomicdevelopmentofWuhancityintheforthpart.Thefollowingthreepartsofthisworkshowedthattherelationshipbetweenthreedifferenttypesofrealestateurbaneconomicdevelopment,respectively.Principlecomponentanalysiswasemployedinourworktoestablishtheevaluationsystemofrealestateandurbaneconomicforthedeepresearchofourtopicwithqualitativeandquantitativeanalysis.Basedontheaboveanalysis,wefurtheranalyzedtheexistproblemsandtheconclusioncouldbebeneficialfortheharmonizationofrealestateandurbaneconomicdevelopmentofWuhancity.Keywords:realestate;urbaneconomy;harmonization___111.1201.221.331.3.1YiWen(2001)PauloM.B.BritoAlfredoM.Pereira2002MinHwangandJohnM.Quigley2006741987-1999RichardHarrisGodwinArku200619454J.W.Fedderke,P.PerkinsandJ.M.Luiz(2006)20901992-1993199819991999GDP20051986-2002GrangerCPI1.3.252070HHakenHHaken[1]200020012002200762004197820061.412345722.12.1.11()()PiP=r/iPirCr()C()()(S)S=0[2]S0=S=0S082-12921()()2.1.212-2tt-1[3]102-22D11III2-22.21998212002-2007122-1(2002570425812.19%132501214.88%23.23%2003645064213.08%169546827.96%26.28%2004822200927.46%233300637.60%28.38%20051055180828.34%297991927.73%28.24%20061325287225.60%366151622.87%27.63%20071732789530.75%459749825.56%26.53%GDP2080GDPGDP2-2GDPGDPGDP20031662.1811.35%64.8420.66%3.90%20041882.2413.24%79.0021.84%4.20%20052238.0018.90%85.007.59%3.80%20062590.7515.76%105.9224.61%4.09%20073141.921.27%134.1426.64%4.27%2-2200421.8%GDP13.2%8.6200479.08.3%13121401.4163[4]20901433.13.215[5]SPSS3.3163.3.1F1=a11ZX1+a21ZX2++ap1ZXpF2=a12ZX1+a22ZX2++ap2ZXpFp=a1mZX1+a2mZX2++apmZXpF1F2Fpa1ia2iapii=1mXZX1ZX2ZXp[6]iiiiXZXµσ−=iµ=EXiiiσ=VarXi[6]170011[7]3.3.2SPSS3.3.3S1S2tFtxFty200018FtxFtyS1S2FtxFty()CvtFtxFtyFtxFtyFtxFtyFtxFty1Ftx*Fty02Ftx*Fty0()CvtG(t)S1S2kk1S1S2(FtxFty)(FtxFty)S1S20G(t)1G(t)01G(t)S1S2[8]121221221212122|(,)(,)|()1((,)(,))2((,)(,))1[((,)(,))]2(,)(,)21(,)(,)()2FtxFtyCvtFtxFtyFtxFtyFtxFtyFtxFtyFtxFty−=+−=+=−+12122(,)(,)()(,)(,)()2FtxFtygtFtxFty=+12122(,)(,)()(,)(,)()2[]KFtxFtyGtFtxFty=+19G(t)G(t)3-1G(t)3-13-1FtxFtyG(t)Ftx*Fty00.000.250.250.500.500.75Ftx*Fty00.751.0020华中科技大学硕士学位论文4武汉市房地产业总体与城市经济的协调房地产业是城市经济系统的一个重要组成部分，其发展与城市经济息息相关。由于房地产业具有很大的产业关联效应，很多国家将其列为支柱产业大力发展，进而带动其他产业的发展。但是，房地产业毕竟只是城市经济系统的一个部分，如果过度强调其重要性，会导致其发展过速，过分侵占其他行业的资源，并且生产出超出社会有效需求的产品，造成对经济资源的浪费。为了合理有效地配置经济资源，必须首先对房地产总量与城市经济的各种关系进行研究，使其能够和城市经济的发展相协调。4.1武汉房地产业总体与城市经济的关系图4-1经济发展与房地产作用系统图本文中所提到的房地产总量，是指房地产行业的整体水平，具体就是指房地产销售面积、空置面积、房地产投资总额、房地产价格和房地产销售总额等一系列可以反映房地产市场总体状况的指标。这些指标能够在一定程度上从各个不同的角度反映武汉市房地产业的发展状况。经济增长房地产业发展不协调阻碍抑制协调带动刺激城市经济繁荣、固定投资增加、基础设施建设增加房产需求增加、结构合理人民生活水平提高214-14.2224.34-14-2GDPCPI23GDPCPI4.44.4.14.2200120072001-20074-34-320012007/20014088534288198511533571745.2474135720024502667308358613250121915.8986814320035427906184122116954682023.19112458420046580802121711323330062462.74165594220059140589162140429799192986.2279863920069608808180523036615163535.263545305200711354127131882945974984515.765295596SPSS20012007244-4CorrelationMatrix1.000-.722.988.973.972-.7221.000-.715-.653-.635.988-.7151.000.993.989.973-.653.9931.000.998Correlation.972-.635.989.9981.0004-44-54-5TotalVarianceExplainedInitialEigenvaluesExtractionSumsofSquaredLoadingsComponentTotal%ofVarianceCumulative%Total%ofVarianceCumulative%14.48989.77989.7794.48989.77989.7792.4809.59799.3773.027.53699.9134.004.08099.9935.000.007100.000ExtractionMethod:PrincipalComponentAnalysis.4-6ComponentMatrixaComponent1.989-.771.996.983.979ExtractionMethod:PrincipalComponentAnalysis.25=0.466648*ZX1-0.36386*ZX2+0.469879*ZX3+0.464139*ZX4+0.462204*ZX54-72001200220032004200520062007-2.30267-2.10393-1.01146-0.091980.6812281.4449133.3838984-720012007200620074.4.24-8SPSS20012007GDP(CPI20011335.473055084427685.8299.520021467.878205704258770.0898.620031622.1885256450642853.99102.320041882.2495648222009996.22103.320052238.23108501