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上海交通大学硕士学位论文新加坡公共住屋机构的战略调整及组织变革姓名：李华峰申请学位级别：硕士专业：工商管理（MBA）指导教师：陈继祥20031012MBA1MBA2°76%14%8%2%ˆó“x�l‘´‘¼Chart1-1:CompositionofSingaporePopulationMBA3MBA4MBA5MBA6MBA7MBA836MBA9MBA10MBA11MBA12MBA13MBA14MBA15••••••••MBA16ITITITMBA17MBA18MBA19MBA20MBA21MBA22),/,,,,,,,,,(ΛSTTPCNAAYPPPfQAEPCCSd=MBA23MBA24uepgdRRRR3210aaaa+++=uepgdRRRR16.74.169.329.38--+=MBA2521bbaPGD=PGDlglglg210bba++=PGDlg5527.21lg804374.655182.46lg-+=MBA26•α•α•••∑∑==--=nttnttteeed12221)(MBA27MBA28MBA29100MBA30MBA3158.825.85.85.34.3MBA32MBA33MBA34MBA35MBA36MBA3760%6.84.46.66.33.15.67.776.115%98899778820%3.52.43.24.91.92.65.64.52.75%9999889980.550.560.490.420.60.60.490.50.5GDP50%7.35.45.76.145.25.96.95.920%988107888815%9877.46.56.1877.415%8898999980.450.440.510.580.40.40.510.50.57.2195.626.567.0244.685.7847.177.16.33MBA38MBA39MBA40MBA41MBA42MBA43MBA44MBA45MBA46MBA47MBA48MBA49MBA50MBA51MBA52MBA532719.327.7283817.574815.746.2965416.536.6125617.136.8526115.176.0686413.95.567310.934.3721007.843.136ThisExcel-sheetprovidesthe2002CorruptionPerceptionsIndexandadditionalbackgrounddata.Forinformationondataandmethodologypleaseconsultthepressreleaseandthebackgroundpaperat~uwvw.Abbreviationsare:IMD:WorldCompetitivenessReportoftheInstituteforManagementDevelopment,LausannePERC:PoliticalandEconomicRiskConsultancy,HongKongGCR:GlobalCompetitivenessReportoftheWorldEconomicForumACR:AfricaCompetitivenessReportoftheWorldEconomicForumWBES:WorldBusinessEnvironmentSurveyoftheWorldBankEIU:EconomistIntelligenceUnitPwC:PricewaterhouseCoopers,OpacityIndexFH:FreedromHouse,NationsinTransitTI/GI:GallupInternationalonbehalfofTransparencyInternationalCU:ColumbiaUniversityCountryRankCountry2002CPIScoreSurveysUsedStandardDeviationHigh-LowRangeNumberInst.90percentconfidencerangeIMD2000IMD2001IMD2002PERC2000PERC2001GCR2002GCR2000GCR2001ACR2000WBES2001EIU2002PwC2001FH2002TI/GI2002CU20011Finland9.780.48.9-10.049.5-9.9########2Denmark9.580.38.9-9.949.3-9.7########2NewZealand9.580.28.9-9.649.3-9.6########4Iceland9.460.48.8-10.029.2-9.7######5Singapore9.3130.28.9-9.689.2-9.4#############5Sweden9.3100.28.9-9.669.2-9.4##########7Canada9.0100.28.7-9.368.9-9.2##########7Luxembourg9.050.58.5-9.928.7-9.5#####7Netherlands9.090.38.5-9.358.8-9.1#########10UnitedKingdom8.7110.57.8-9.478.4-8.9A#isgivenifthesourcementionedinthecolumncontributedtotheassessmentofacountry###########11Australia8.6111.06.1-9.368.0-9.0###########MBA5412Norway8.580.96.9-9.348.0-8.9########12Switzerland8.590.96.8-9.457.9-8.9#########14HongKong8.2110.86.6-9.467.8-8.6###########15Austria7.880.57.2-8.747.6-8.1########16USA7.7120.85.5-8.777.2-8.0############17Chile7.5100.95.6-8.867.0-7.9##########18Germany7.3101.05.0-8.166.7-7.7##########18Israel7.390.95.2-8.056.7-7.7#########20Belgium7.180.95.5-8.746.6-7.6########20Japan7.1120.95.5-7.976.6-7.4############20Spain7.1101.05.2-8.966.5-7.6##########23Ireland6.980.95.5-8.146.4-7.4########24Botswana6.451.55.3-8.945.6-7.6#####25France6.3100.94.8-7.865.9-6.8##########25Portugal6.391.05.5-8.055.8-6.9#########27Slovenia6.091.44.7-8.965.3-6.9#########28Namibia5.752.23.6-8.944.3-7.3#####29Estonia5.680.65.2-6.665.4-6.0########29Taiwan5.6120.83.9-6.675.2-6.0############31Italy5.2111.13.4-7.274.6-5.7###########32Uruguay5.150.74.2-6.144.6-5.6#####33Hungary4.9110.54.0-5.674.6-5.2###########33Malaysia4.9110.63.6-5.764.6-5.2###########33TrinidadTobago4.941.53.6-6.933.8-5.9####36Belarus4.831.33.3-5.833.3-5.4###36Lithuania4.871.93.4-7.663.7-5.9#######36SouthAfrica4.8110.53.9-5.564.5-5.0###########36Tunisia4.850.83.6-5.644.1-5.3#####40CostaRica4.560.93.6-5.944.0-5.1######40Jordan4.550.73.6-5.234.0-4.9#####40Mauritius4.560.83.5-5.534.0-4.9######40SouthKorea4.5121.32.1-7.173.9-5.1############44Greece4.280.73.7-5.543.8-4.6########45Brazil4.0100.43.4-4.863.8-4.2##########45Bulgaria4.070.93.3-5.753.5-4.6#######45Jamaica4.030.43.6-4.323.6-4.2###45Peru4.070.63.2-5.053.7-4.4#######45Poland4.0111.12.6-5.573.4-4.5###########50Ghana3.941.42.7-5.943.1-5.1####51Croatia3.840.23.6-4.043.6-3.9####52CzechRepublic3.7100.82.6-5.563.3-4.2##########52Latvia3.740.23.5-3.933.5-3.9####52Morocco3.741.81.7-5.532.2-4.8####52SlovakRepublic3.780.63.0-4.653.3-4.0########52SriLanka3.740.43.3-4.333.4-4.0####57Colombia3.6100.72.6-4.663.3-4.0##########57Mexico3.6100.62.5-4.963.3-3.9##########59China3.5111.02.0-5.663.1-4.1###########59DominicanRep.3.540.43.0-3.933.2-3.7####59Ethiopia3.530.53.0-4.033.0-3.8###62Egypt3.471.31.7-5.352.6-4.2#######62ElSalvador3.460.82.0-4.242.8-3.8######64Thailand3.2110.71.5-4.162.8-3.6###########64Turkey3.2100.91.9-4.662.7-3.7##########66Senegal3.141.71.7-5.542.0-4.5####67Panama3.050.81.7-3.642.3-3.4#####68Malawi2.940.92.0-4.042.4-3.7####68Uzbekistan2.941.02.0-4.142.0-3.5####70Argentina2.8100.61.7-3.862.5-3.1##########71Coted´Ivoire2.740.82.0-3.442.0-3.1####71Honduras2.750.62.0-3.442.3-3.2#####71India2.7120.42.4-3.672.5-2.9############MBA5571Russia2.7121.01.5-5.082.3-3.3############71Tanzania2.740.72.0-3.442.0-3.3####71Zimbabwe2.760.52.0-3.332.4-3.0######77Pakist