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华中科技大学硕士学位论文中国最低工资对青少年就业的影响姓名：张凌申请学位级别：硕士专业：企业管理指导教师：廖建桥20061027I200525IIAbstractAsaninternationalvulgateinstitutionoflaborandsocialsecurity,minimumwageisdisputedafteritsbirth.Supportersbelievethatworkers’basicrightscanbeprotectedbyminimumwageinstitution.Andtheinstitutioncanstopsweatshopsfromsqueezingworkers.But,discommendersdisagreewiththis.Intheiropinions,minimumwageinstitutionmakesworkers’employmentworseinboththeoryandpractice.Youthistheprincipalpartofworkerswhoareintheinferiorpositioninemployment.Therelationshipbetweenminimumwageandyouthemploymentistheacademicresearchfocus.Afterbeinglaunchedmorethanadecade,China’sminimumwageinstitutionisstillfarmorefromperfect.Besides,relationshipbetweenminimumwageandyouthemploymentinChinaisalsounclear.Inthispaper,theauthorattemptstoevaluatethequantitativerelationshipbetweenminimumwageandyouthemploymentinChina.Alldatausedinthispaperisfromstatisticalyearbooksof25provincesinChinain2005.Byusingcorrelationanalysisfactoranalysisandregressionanalysis,theauthorgetssomeunapparentquantitativeresults.Thentheauthormakesfatheranalysisbyusingclassicaleconomictheory.Somemainconclusionsareasfollow:therelationshipbetweenminimumwageandyouthemploymentinChinaisdeterminedbyareaeconomicdevelopmentlevels;rigidlaborwagecausedbyyouthlaboroversupplyweakenstheeffectsofminimumwage;thebalancebetweenminimumwageandotherfactorswhicheffectyouthemploymentmustbeensured.Atlast,moreresearchesareneededinfuturesincethispaperisagropinganddefectiveone.KeyWords:MinimumwageYouthEmployment;StatisticalAnalysis20061027_____200610272006102711[1]1993132003471.17030200420042615.2761.972.7[2]198521993[1993]33320043113-31.2200542--2.1RoyC.Wood[3]115[4][5]2PierreCahucPhilippeMichel[6][7]216DonaldDeere,KevinM.MurphyFinisWelchDavidNeumarkWilliamWascherJohnM.AbowdFrancisKramarzDavidN.Margolis[8]11.3110.41.6DavidNeumarkWilliamWascher[9]DavidCardAlanKruegerKatzGrenierSeguinMachinManningKrueger[10]1995DavidCardMythandMeasurement:TheNewEconomicsoftheMinimumWage[11]StephenMachinAlanManning[12][13],,7,23[14]2.2-8StephenBazenNicolasSkourias[15]1981610%19871118-1918-19SoniaC.Pereira[16]18-1920-25JanetCurrieBruceC.Fallick[17]NLSYNationalLongitudinalSurveyofYouth1979-19803%-AlisonJ.Wellington[18]198010%1%20-24DavidCardAlanB.Kruege[19]19921993frictionsinthelabormarketDavidNeumarkWilliamWascher[20]1979-1992CPSCurrentPopulationSurveys918RobertA.MargoT.AldrichFinegan[21]1900-19702.3-13[22]-MWMISC+AC(2.1)10MWMFECSC+AC(2.2)MWMISCACMFEC11123--++3.1-[23]1311WQWmW0Q0WmQ0QaQ0QbQaQ0QbQa3.1WmW0SNWQ0QaQ0Qb1423.2(a)(b)Q0Q1WaWb(a)(b)3.2WbWaS0NWQ0QaQbS1WmW0SNWQ0Q1Q015[24]2[25]316[26]-3.22005253.2.1200515-2915-24youthteenager191616-301716-24[27]316-243.2.2[8][16][27]1819622004GDP70%[28]GDP3GDP33GDPGDPGDP3GDPGDP3GDP3GDP3.2.319GDP3GDP3-200431520052004Pearson∑∑∑===−−−−=niiniiniiiYYXXYYXXR12121)()())(((3.1)R(Pearson)XYn(Spearman)(Kendall)203.12004-GDP()GDP335801.3%370580.1690.18112545903.8%315500.1790.24711435204.0%----5203.1%107410.2400.32813164204.6%113050.1000.2518434506.5%162970.1220.3698233604.2%109320.1480.2098023904.5%138930.1690.1828356904.4%553070.1740.3238536903.8%208520.2450.2809386704.1%239240.2010.3018474104.2%----4704.0%172180.1370.24211353603.6%81890.1940.4069205303.4%169250.2120.47513074803.4%94700.1970.1508974604.2%----4804.4%83790.1390.2108866842.7%197070.1690.2329004604.1%67910.1640.2278085003.4%98040.1250.2017334004.1%84770.1630.2766714504.4%81140.1600.2117034004.1%----4704.3%----4954.0%----4903.8%77570.1720.26011723403.4%59700.1590.1468453703.9%86470.1690.1406493804.5%78820.1820.2888184803.8%111990.1730.2049402005-SPSSGDPGDP335213.2PearsonGDPGDP33Pearson10.714(**)0.3950.2100.356Sig.()0.00.0000.0510.3150.081Pearson0.714(**)10.1390.1850.339GDPSig.()0.0000.00.5070.3750.098Pearson0.3950.13910.3210.302GDP3Sig.()0.0510.5070.00.1180.143Pearson0.2100.1850.32110.3343Sig.()0.3150.3750.1180.00.103Pearson0.3560.3390.3020.3341Sig.()0.0810.0980.1430.1030.0**0.01GDPPearson0.13.3GDP223.3GDPGDP33-GDP-GDP3-3--Pearson0.50.05Pearson0.50.050.150.153.2.41MWUFactorCFactorBFactorAMW++×+×+×=111111(3.2)ABCULoading23Factor1Factor2Factor3GDPGDPGDP3Factor1UFactor1nnVBVBVBVBFactor++++=3322111(3.3)Bi(i=1,2,,n)Vi(i=1,2,,n)2SPSS5SPSSDateReductionFactor0.53.43.4221GDP23GDP3243.412.34946.98546.9851.79235.84635.84621.05321.06368.0481.61032.20368.04830.73614.71582.76340.62912.58695.34950.2334.651100.0003.512GDP0.9270.87730.801GDP30.7350.5975333.2.5GDP3353GDPGDP2533GDP3uEaGaMWaaY++++=3210(3.4)YMWGGDP3Eua0a1a2a3SPSS3.6tBBetaB()6.9181.1086.2420.000-0.0010.002-0.061-0.2920.773GDP3-6.3635.463-0.240-1.1650.257-0.0020.001-0.364-1.8000.086Y=6.918-0.001MW-6.363G-0.002E+uR2=0.274F=2.6483263.73.83.9GDP33.7-tBBeta()624.87897.1116.4350.000-34.85524.375-0.286-1.4300.166R2=0.082F=2.0453.8GDP3-tBBetaB()0.2250.0297.7570.000GDP3-0.0140.007-0.374-1.9340.065R2=0.14F=3.7423.9-tBBetaB()1256.636143.9668.7290.000-89.45436.135-0.459-2.4760.021R2=0.21F=0.612833273004005006007001.02.03.04.05.06.07.0%3.3-0.1000.1250.1500.1750.2000.2250.250GDP31.02.03.04.05.06.07.0%3.4GDP3-286008001000120014001.02