华中科技大学硕士学位论文产业集群人才集聚与人才引力实证研究姓名:张西奎申请学位级别:硕士专业:企业管理指导教师:胡蓓20061012I35IIAbstractIndustrialclusterisanimportantwayforpropellinglocaleconomicdevelopment.Talentisthebasicconditionforindustrialcluster’development,andtalentagglomerationispropitioustoelevationindustrialcluster’competitiveadvantageandtheabilityofinnovationandlearning.Becausetherearenotadequatetalents,manyindustrialclusterscannotrealizethetargets.Itisnecessarytoanalyzetheeffectoftalentagglomerationandstudythemechanismoftalentattractionforce,anditispropitioustopromoteindustrialclustercontinuousdevelopment.BytheoreticalanalysisandempiricalresearchonGuangguandZhongguancun,thisarticleanalyzestheaffectingfactorsofthetalentattractionforce.Andthisarticlealsostudyhowtoevaluatetheindustrialcluster’talentattractionforce.Firstly,basingontheexistingresearchfindings,thisarticledescribesthephenomenonandfeaturesoftalentagglomerationinindustrialcluster,andpointsoutthattalentagglomerationinclusterisoneofthecluster’dynamicforceandcanmaketheclustergetdevelopmentadvantage.Atthesametime,thisarticleanalyzesthereasonsoftalentagglomerationincluster,andconcludesthattalentisoneofproductiveelementsandtheexternalitiesofjobopportunityagglomeration.Secondly,basingonasummaryofliteratureandtalentinterview,thisarticleanalyzestalentagglomerationaffectingfactorsandtheindexvariablestoevaluatetheindustrialcluster’talentattractionforce.ByquestionnairesurveyinZhongguancunandGuanggu,thisarticlestudysthereliabilityandvalidityoftheindexvariables,andconcludesthattheindexvariablesinclude35indexes,belongingtoeconomicdevelopmentlevelofcluster,locationofcluster,cultureofcluster,andsoon.ThisarticlealsoevaluatesthetalentattractionforceofZhongguancun,Guanggu,SuzhouindustrialparkandZhenanindustrialpark.Lastly,thisarticleconcludestheaffectingfactorsbelongto8types,andmicroscopicfactorsimpactmorethanthemacroscopicfactors.Basingontheresearchfindings,thisarticlealsopointsouthowIIItoattractmoretalentforindustrialclusters.Keywords:industrialclustertalentagglomerationtalentattractionforceempiricalresearch_____111.11.1.1705720351.1.210[1]207080[2]92090380602004519223.685993380.12[3]20042370004000200515[4]30[5][6],31.21.2.1[7]1929[8]1948[9]1991[10]1998[1]20044[11]19981.2.21998[12]BahramiEvans(1995)[13]SabourinPinsonneault(1997)[14]2004[15]115116BahramiEvans(1995)1-2SabourinPinsonneault(1997)12720041.2.3[16]2003[17]2002[18]2003[19]2005[20]82000[21]2001[22]2003[23]2002[24]GDP9159GDP()()()(%)(%)(%)(%)(%)()(/)()15131.2.41990[4]2002[25]1982[26]2005[27]2004[28]2005[29](HerdBehavior)10198220022005200420052002111.313131222080198019874407198819926.9200348.861121IT20901992254762000111258[30]8857826.910.811.261212.515.917.324.329.336.1340.5748.86051015202530354045501992199419961998200020022113212-11992200019921993199419951996199719981999200021886215932241121528201942144525878240332713392384952788927890388100539108016114230114399117599409483422331211280212598825052270962180521045557375814862241670267460780692800518741794317447234705853022607788132884991886809174010164059974565605840964323739617690683614701817508125476323143502043700527226100367972805581112582.12.1.1142.1.11.28SabourinPinsonneaultBahramiEvansBrennerGreif152.2162.2.120001.4329.320032.8948.9222000200320030.99200320042-22000-20011.60.690.932001-20021.530.450.562002-20030.990.560.442.2.21720012477.933768.695723.31150850%20069IT23200080002-320069IT181082695349144IT-20195IT-2723182-420069IT180//1128/254/260CTO/CIO29IT1999200220062-420069IT12380242231CTO/CIO292/2603/2544//1128IT-51801933.1205070IBM202003(20052006)751102122HackmanOldhamGreenhaus36313.255534196721953084.4512345SPSS12.0233-13.2.1KMOKMO0.90.80.70.6KMO0.8340.50240.5120.89323-20.7260.7930.5140.5270.5250.6530.7590.7890.6840.7180.5660.6660.7460.5120.6740.6430.6330.890.6680.8490.7510.5650.7470.590.6490.5510.8260.570.8030.5780.8290.5460.7280.5380.7470.587253.2.20.90.80.90.70.80.70.9150.80.70.678330.80.1610.40.83-38.756.6740.4730.3360.6049.48965.9160.6450.4890.4879.85428.0840.1610.0510.89.15635.9020.6390.5010.4926735343-42744.1394021341421020051.7604800200020%PC40%25%60%30007000200130%18709717722567002048101/3252004702847199425288267040%400382005580.750405192100ICTFT-LCD164002382289441.29139.923203076.8%87925952500400025.9400031.8706029414-131.35725114504921.552.2114.87131.14218.4146.19039.562.68236%4419.3135.78336.473.1572510947.83113.62410.54.24-13.672.763.673.393.0800.511.522.533.5441302.764-24-33.583.523.443.433.833.272.933.13.23.33.43.53.63.73.83.942314-43.33.16703.433.523.583.2433.13.23.33.43.53.643443.163.33.082.842.62.72.82.933.13.23.3324-53.173.144-63.13.062.613.143.013.172.762.52.62.72.82.933.13.23.062.613.12.712.32.42.52.62.72.82.933.14546334-73.383.322.784.3(FactorAnalysis)20KarlPearsonCharlesSpearmenpX1X1,Xp01mmpF1F2Fm3.213.383.322.7800.511.522.533.54734(1)Fiiaijaijij4.3.1Bartlett'sTestofSphericityKMOKMOandBartlett'sTest42KMOKaiserKMOKMO0.90.8KMO0.890.80.94934.084P00.0054-2KMOKaiser-Meyer-OlkinMeasureofSamplingAdequacy.0.89Approx.Chi-Square4809.196df595Bartlett'sTestofSphericitySig.0111111ε++