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1970、1980,Romer[1]、Jones[2]Segerstrom[3]R&DR&D。21。,1960—1989,50%—87%[4]、R&D。Aigner、LovellandSchmidt[5]StochasticFrontierApproachSFABatteseandCoelli[6]。SFA[7]。R&D。R&DR&D[8-9]R&D[10]R&D[11]R&D[412-13]R&DR&D。、。R&DR&D。—、SFAR&DR&D。1R&D,,。。、、,、,[14]。。2010-09-12；2010-12-182009GXS5D1252009C25015。1000-8462（2011）01-0026-06R&D———、SFA315211SFA、R&D。①R&D②R&DR&D③。R&DSFAF062.9A311Vol.31No.120111ECONOMICGEOGRAPHYJan.20111R&DFig.1TheroutesofR&Dactivityaffectingtechnologyefficiency1.1R&D——R&D。R&D、、。R&D。1.2R&D——、R&D、R&D。R&D。1.3R&D——R&D。。、、、、。。R&D。2R&D2.1R&D。200846163006、、、、33R&D28.00%。R&D、、、、63R&D。、、3R&D4522.90%。。200820900.4635.84%26.67%。539.1120%。27.0832.69%。。R&DGDPR&D[15]。2008GDP450382。290.78114.9。2.2R&D[16]。R&D。2008504.57GDP1.41%0.6。R&DR&D2005—20081.09%、1.12%、1.30%、1.41%。R&D23.87。。。200816930.6529.03%17.81%17.75%。201.63、。1038831R&D27。。、、,,,。2008GDP375891.6。121.69。2008187,52.7555.3。2.3R&D、。8040％。20084GDP54103.05GDP17.99%。。。2008R&D620.105.91%R&D109.11,17.6%0.67%R&D1.54%R&D。、、、、20.01、14.11、7.67、4.83、4.62。2008R&D、R&D、R&D132.10、1.55、3.89。。20082256.6719.42%。1196.4344.89%。14.5017.5%。、。2009、GDPR&D。。33.1DEASFA。SFA[17]。SFAR&D。SFAyit=xitβ+vit-uit1uit=uiλ(t)2λ(t)=exp-η(t-T)3TEit=exp(-uit)4γ=σu2σv2+σu25mit=δ0+δ1+δ261yititxititβεitvitN0σv2uitNmitσu2。23uitη。4。u=0TE=1u00TE1。5σv2、σu2γ。γ=0SFA,OLS,SFA6δi(i=012R&DR&D。2831ln(yit)=β0+β1ln(Lit)+β2ln(Kit)+vit-uit)7iityitGDPKitLitβ0βii=12β1、β2。3.2、、、、、、9。1998—2008、《》、《》。yit1998—2008GDPLit1998—2008KitKt=It/Pt+1-δtKt-1KttItPtδt。《》5%。1998—2008R&DR&D。1Tab.1ThedescriptivestatisticsofthecorrelativeindicesofthethreeeconomiccirclesinChinaGDP9.010710.48287.22590.7204999L0.65008.73036.18800.9533999K7.86339.37516.17280.7278999R&D4.59646.42992.26180.9768999R&D1.84363.17260.65090.6020999。3.3FrontierVersion4.11—(712。SFA2SFAR&DTab.2TheparameterestimatesoftheSFAmodelandtheestimatesfortheR&DimpactiononthetechniqueefficiencyTβ04.56430.48129.4840β10.25190.03766.7056β20.58440.053710.8770δ01.20240.94394.1273δ1-0.25620.0847-3.0189δ2-0.15610.11633.1432γ0.10350.56908.2019LRtestoftheone-sidederror10.946911999γ=σ2σv2+σu2=0.10351%7SAF。R&D10.35%89.65%1998—2008。。0.25191%0.25190.58441%0.5844。。δ1=-0.2562δ2=-0.1561R&D。R&DR&D10.25620.1561。R&DR&D。、。119、、、、、、、、。1R&D29。1Fig.1Changesintheleveloftechnicalefficiencytrends1。19980.470720080.78650.3158。110.4156、0.3815。4R&DR&DR&DR&DR&DR&D。,R&DR&D。。R&DR&D。R&D。R&D。。R&D。、R&D。[1]RomerPaulM.EndogenousTechnologicalChange[J].JournalofPoliticalEconomy19985(10)71-102.[2]JonesCharlesI.TimeSeriesTestsofEndogenousGrowthModels[J].QuarterlyJournalofEconomics1995110495-525.[3]SegerstromPaulS..ASchumpeterianModeloftheProductLife31998—2008Tab.3ThetechniqueefficiencylevelofeachprovincesofChina'sthreemajoreconomiccirclesfrom1998to200819980.67000.51680.47070.52590.54600.67530.57180.56580.638519990.68590.52380.52600.57410.57200.70130.59240.59730.697920000.76430.59840.58760.64680.61150.69180.60530.64120.738120010.78800.59630.58720.67660.64420.73200.69370.64280.770420020.81570.62340.61820.70140.66960.75750.71020.67200.783720030.85390.65710.62950.71820.71240.79930.75980.72030.802320040.85790.70390.65190.78380.75120.85220.82410.75990.836920050.87700.74580.68340.83920.76920.88480.84960.79960.840620060.91450.78620.72510.87100.78020.90430.89000.83450.862320070.93370.80070.75120.90380.80630.92860.92050.85770.879420080.97120.85600.78650.94150.83650.95880.96330.87170.90440.83020.67350.63790.74380.69990.80780.76190.72390.79593031Circle.AmericanEconomicReview199080(December)1077-1091.[4].[J].2005(9)4-11.[5]AignerD.J.C.A.KLovelandSchmidt.FormulationandEstima-tionofStochasticFrontierProductionFunctionsModels[J].JournalofEconometrics1977(6)21-37.[6]BatteseGEandGSCorra.EstimationofaProductionFrontierModelwithApplicationtothePastoralZoneofEasternAustralia[J].AustralianJournalofAgriculturalEconomics199721(3)169-179.[7]PiresJ.Q.andGaticaF.ProductiveofNationsaStochasticFront-ierApproachtoTFPDecomposition[C].EconometricSociety.LatinAmericanMeetings2004No292.[8].DEAR&D[J].2009(8)80-83.[9].R&D[J].()2009(4)162-169.[10].[J].2009(3)17-22.[11].R&D[J].2007(2)10-14.[12].——30[J].2005(7)56-60.[13].R&D[J].2006(8)17-22.[14].R&D[J].2003(5)21-23.[15].R&D[J].2008(12)74-76.[16].、、[J].2009(1)117-121.[17].SFA[J].2004(5)46-50.1R&D31THEMECHANISMSOFR&DAFFECTINGTECHNICALEFFICIENCYANDIT'SDIFFERENCESINREGIONS———THEANALYSISBASEDONTHETHREEDIFFERENTECONOMICREGIONSBYTHESFAMETHODHUQiu-guang，LIHong-ying（SchoolofBusiness，NingboUniversity，Ningbo315211，Zhejiang，China）Abstract:UsingStochasticFrontierApproach(SFA)ofpanneldata，theintrinsicrelationbetweentheR&DandthetechniqueefficiencyoftheYangtzeRivereconomicregion，thePearlRivereconomicregionandtheeconomicregionaroundtheBohaiSea.BytheempiricaltestofthethreemajoreconomiccircleinChina，thearticledrawstheconclusions:Firstly，R&Dinvestmenthaspositiveeffecttothetechnologyefficiency.Secondly，thecapitalinvestmentontheR&Dismoreeffectivethanthelaborinvestmenttothetechnologyefficiency.Thirdly，whilethetechnicalefficiencyisimprovingwiththetimepast,thegapoftechnologyefficiencyisenlargingduetothedifferencesofR&Dinvestmentindiffere