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兼业对农户种粮技术效率的影响研究——基于随机前沿生产函数的实证 Title:TheImpactofDualEmploymentonTechnologicalEfficiencyinGrainFarmingforRuralHouseholds:AnEmpiricalStudyBasedonStochasticFrontierProductionFunction Introduction: Agriculture,beingthebackboneoftheeconomyinmanydevelopingcountries,playsavitalroleinensuringfoodsecurityandpovertyalleviation.Inruralareas,whereagricultureistheprimarysourceofincome,farmersoftenengageindualemploymenttosupplementtheirearnings.Thispaperaimstoinvestigatetheimpactofdualemploymentonthetechnologicalefficiencyofgrainfarmingforruralhouseholdsusinganempiricalanalysisbasedonthestochasticfrontierproductionfunction. LiteratureReview: Priorresearchhasexaminedtheeffectofvariousfactorsonagriculturalefficiency,includingtechnologicaladvancements,accesstocredit,farmsize,education,andinfrastructure.However,theimpactofdualemploymentonagriculturalproductivityandefficiencyhasreceivedrelativelylessattention.Dualemploymentcouldaffectagriculturalefficiencythroughvariousmechanisms,includingthepotentialtrade-offsbetweentimeallocationandfarmmanagement,accesstoresourcesandinputs,andtheabilitytoadoptnewtechnologies.Thisstudyseekstofillthisresearchgapandshedlightontherelationshipbetweendualemploymentandtechnologicalefficiencyingrainfarmingforruralhouseholds. Methodology: Tomeasuretechnologicalefficiencyaccurately,thisstudyemploysthestochasticfrontierproductionfunction(SFPF)analysis,whichallowsfortheseparationofinefficiencyfactorsfromrandomfluctuations.TheSFPFmodelstheproductionfunctionasacombinationoftheproductionfrontierandstochasticerrorterms.Byestimatingtherespectivecoefficients,bothtechnicalefficiencyandscaleefficiencycanbederived.Additionally,aquestionnairesurveywillbeconductedtocollectdataonvarioussocioeconomicfactorsthatmayaffectagriculturalefficiency. DataCollectionandAnalysis: Datawillbecollectedfromasampleofruralhouseholdsengagedingrainfarminginatargetregion.Thesamplewillbeselectedusingastratifiedrandomsamplingtechniquetoensurerepresentativeness.Thequestionnairesurveywillgatherin