区域经济竞争力研究__湖北省竞争力实证分析

华中科技大学硕士学位论文区域经济竞争力研究——湖北省竞争力实证分析姓名：唐晓敏申请学位级别：硕士专业：西方经济学指导教师：宋德勇20060418I2005SPSS;;IIAbstractRegionaleconomiccompetitivenessattractsattentionsfromscholarsaswellasfromothers.Moreandmorepeopleagreethat,toacceleratethedevelopmentoftheregionaleconomy,itisveryimportanttoimprovethecompetitivenessofregionaleconomy.However,whatdoesitmeanthecompetitivenessofregionaleconomy?Howdoweanalyzethecompetitivenessqualitativelyorquantitatively?Toanswerthesequestions,thispaperfirstsummarizesthefoundationoftheregionaleconomiccompetitivenesstheoryandbringforwardanewframeofcompetitivenessofregionaleconomyevaluationsystem;ThenthepaperintroducestheanalyticapproachesPrincipleComponentAnalysis,AnalyticHierarchyProcess(AHP)andClusterAnalysisandusesPrincipleComponentAnalysistodemonstratethedistributioncharacteristicsanddevelopingtrendsoftheeconomiccompetitivenessattheprovincelevelbetweenHubeiProvinceandOtherCentralAreaofChinain2005;Atlast,Thepaperdrawsaconclusionthat,HubeiisinthesecondplaceinCentralAreaofChina.ThepaperresearchesandanalyzessystematicallyonhowtoestablishanevaluationindexsystemonregionaleconomiccompetitivenessandusesthestatisticsoftwareSPSStocalculatethecompetitivenessindex.Empiricalstudyandcomparativeanalysisareusedinthisstudy.Accordingtotheevaluationindexsystem,wecanseetheadvantageandweaknessofHubeiProvince,andadevelopmentstrategyisproposedforHubei,basedonindepthanalysisoftheeconomiccompetitivenessofHubeiProvince.Keywords:CompetitivenessofRegionalEconomy;EvaluationSystem;PrincipleComponentAnalysis111.121.2801996:(WorldEconomicForumWEF)[1];(InternationalInstituteForManagementDevelopmentIMD)[2]WEF19568()127IMD24016080WEFIMD:;1990[3]()199519963[4]1998?[5]IMD2001619988352000[6]:;24;696914WEFIMD1.3617:17,51)()5172)3)4)1)2)622.1802.1.1IMDWEF1IMD[2]IMDIMD4IMDIMDIMDIMD72WEF[7]WEFWEFWEFGDPWEF510GDPWEF8WEFWEF2/31/3WEF2008WEFWEFIMDWEFIMD20082.1.2[8]19902-12-1IMD[9]92.1.31[6]=++2-2102[10]=F()=+++++++=++++()3[11]1998835:1)5;2)GDPGDP811;3)4;4)4;5)5;6)GDPGDP3;7)3;8)3WEFIMD1122.22.2.1IMD,WEF:1234WFF,IMD513211GDP(X1)2(X2)3(X3)4GDP(X4)5GDP(X5)6(X6)7(X7)8(X8)9(X9)10(X10)11(X11)12(X12)13(X13)14(X14)15(X15)16(X16)17(X17)2.2.21GDP(X1)X2X3142GDP(X4)GDP(X5)3(X6)(X7)4(X8)(X9)(X10)(X11)5(X12)(X13)6(X14)(X15)50(X16)(X17)153[12]3.13.1.1(PrincipalComponentsAnalysis)[13]Hotelling1933163.1.2:pq:1nmX=nmnnmmxxxxxxxxx......................212222111211Xijji(i=1,2,…n;j=1,2,…m)2:*()/ikikkXXXS=−X*ikXkiXikXXkSkXkiikkk=k1,k2,…km3R*()jkmmRr=jkR=∑=−−−nikjkikjijSSXXXXn1)*)((11XijXikj,krjkj,k4RIRλ−U=uijm*m17pλλλ...21U=uijm*m=mmmmmmuuuuuuuuu....................212222111211Wi=∑=mjji1/λλ1,m+1185qm(x1,x2,…xm)q(qm)Fi=(F1,F2,…,Fq)Fim11111221mmFaxaxax=+++22112222mmFaxaxax=+++……33113223mmFaxaxax=+++qmFiaij(i=1,2,…q;j=1,2,…,m)5qZt1122tqqZwFwFwF=+++iF(i=1,2,…q)18iw(i=1,2,…q)qqZtZt3.2(AnalalyticHierarchyProcessAHP)[14](TLSaaty2070TLSaaty[15]:1);2);3)4):1):2):193)3.33.3.1[12]:201nn2343nn-15)6)3.3.21)100212)?2244.120052005200520052005200520052005,234.24.2.11SPSS[16]17623SPSS154-11100%()SPSS12.095%X12X13122341ExtractionSumsofSquaredLoadingsRotationSumsofSquaredLoadingsComponentTotal%ofVarianceCumulative%Total%ofVarianceCumulative%18.36049.17949.1797.86946.28646.28623.30719.45368.6323.09418.19964.48532.19612.91781.5482.19512.91477.39941.72910.17191.7192.02811.93189.33051.4088.281100.0001.81410.670100.000ExtractionMethod:PrincipalComponentAnalysis.SPSS425174342Component12345VAR00001.976-.192-.074.071.022VAR00010.963-.249.094.018-.030VAR00016.948-.073-.293.060-.081VAR00015.942.186.219-.032.173VAR00002.916-.273-.120-.253-.093VAR00011.881-.209.377.133.145VAR00008.869-.210-.079.324.299VAR00009.808.142-.222.486-.204VAR00012.783.555.086-.265-.003VAR00013.610.598-.033-.516.058VAR00004.002-.810.466-.022.355VAR00005-.423.751-.174.402.255VAR00003-.384-.677-.202.121.581VAR00017-.272.628.467.020.559VAR00007.205.158.947-.186-.038VAR00014.189.307.342.857-.136VAR00006.457.356-.554-.118.5872443Component12345VAR00001.986.098-.020-.131.004VAR00010.965.075.160-.193-.011VAR00008.962-.153-.108.100.170VAR00016.924.256-.227-.167-.001VAR00011.911-.064.389.007.123VAR00002.894.173.017-.287-.297VAR00015.886.305.264.228.021VAR00009.765.315-.262-.118.483VAR00003-.111-.927-.270.096-.216VAR00004.207-.836.455-.125-.187VAR00013.427.751.104.336-.360VAR00012.611.712.180.277-.099VAR00007.107.156.971.127.070VAR00017-.299.081.372.865.131VAR00005-.462.238-.327.650.447VAR00006.481.201-.531.610-.274VAR00014.168.075.149.121.964(VarimaxRotation)2[17]01F10.5(X1)25(X10)(X16)(X15)(X2)(X11)(X8)(X9)(X7)(X13)F1F20.5(X12)(X13)GDP(X5)(X17)F2F30.5(X7)F3F40.5(X14)F4F50.5(X17)(X16)F544Component12345VAR00001.131-.029-.034-.026.015VAR00002.097.047-.005-.116-.150VAR00003.081-.384-.131.219-.095VAR00004.085-.329.198.087-.080VAR00005-.035.013-.152.281.209VAR00006.108-.062-.258.375-.185VAR00007-.017.045.444.038.007VAR00008.170-.175-.084.139.103VAR00009.089.060-.147-.096.282VAR00010.121-.023.051-.060.007VAR00011.133-.109.150.063.069VAR00012.040.196.075.086-.095VAR00013.013.226.050.119-.247VAR00014.029-.033.044.0