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Analysisofmangovaluechain:thecaseofarbaminchzuriya woreda,gamogofazone,southernnations,nationalitiesand peoples’region,Ethiopia

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dc.contributor.author KedirAssen
dc.date.accessioned 2020-12-12T07:33:48Z
dc.date.available 2020-12-12T07:33:48Z
dc.date.issued 2017
dc.identifier.uri http://10.140.5.162//handle/123456789/3185
dc.description.abstract ThisstudywasdesignedtoanalyzevaluechainofMangoinArbaminchZuriya woreda,GamoGofazone,SouthernNations,NationalitiesandPeoples’Region. Mango(MangiferaindicaL.)isafleshystonefruitbelongingtothepanesMangifera. ItisgrowninEthiopiaandthroughoutthetropics,andsubtropicsoftheworld.The specificobjectivesofthisstudywereidentifyingthemajormangovaluechainactors andtheirrolesinthestudyarea;quantifyingcostsandmarginsforkeymangovalue chainactors;identifyingfactorsaffectingmarketsupplyandmarketoutletchoices. Thedatawerecollectedfrombothprimaryandsecondarysources.Theprimarydata forthisstudywerecollectedfrom 204sampleproducers,24traders,and30 consumers.Secondarydata were gathered from differentdistrictoffices and previousresearchfindingsandinternet.Thedatawereanalyzedbyusingvaluechain analysis,marketingmargin,multiplelinearregressionandmultivariateprobitmodel. Valuechainanalysisresultshowedthatthemainvaluechainactorswereinput suppliers,producers,wholesalers,collectors,cooperatives,retailers,andconsumers. Cooperativesincurredthehighesttotalcost(78birrperquintal)thanotheractors. Producers’grossmarginwashighest(theshortestchannel)whentheysoldtheir productdirectlytoconsumers.However,itwaslowestinthelongestchannelsincea numberofmiddlemenactorswereinvolved.Theresultofmultiplelinearregression modelindicatedthat,marketsupplyofmangowassignificantlyandpositively affectedbynumberofmangotrees,experienceinmangoproduction,marketing experience,ownership oftransport,extension contact,and marketinformation access,whereas distance to the nearestmarketaffected itnegatively and significantly.Mangoproducershadfivemarketoutletchoicesthatiswholesalers, collectors,cooperatives,retailersandconsumers.Theresultofmultivariateprobit modelindicatedthattheoutletchoicesweresignificantlyinfluencedbyunderlying commonfactors.Moreover,thepredictedprobabilitiesofhousehold’schoosing wholesalersoutletwas14%whichisrelativelylowerthantheprobabilityofchoosing collectors(69%),cooperatives(32%),retailers(16%)andconsumers(19%).Thiswas duetothefactthatwholesalerspurchasehighamountfromcollectorsintheworeda andkebelemarketsthanfrom producers.Theprobabilityofproducersjointlyto chooseandnottochoosethefiveoutletswere4.86%and0.03%,respectively.The Waldχ2testvalueof152.25whichissignificantat1%significancelevelindicated thatseparateestimationofchoiceoffiveoutletsisbiasedandthedecisionsto choosethefiveoutletsareinterdependentandsimultaneous.Therefore,effortsare requiredimprovetomarketingknowledgeandskillofproducers;effortsarerequired toestablishmarketingcooperativestoencouragecollectiveactionofproducers; effortsneededtoimprovemarketinfrastructure,improvingpost-harvesthandling, andpromotingprivatepublicpartnershipsandmangovaluechainactor’smeetings marketintelligenceareneededtoacceleratevaluechaindevelopmentofmango. en_US
dc.language.iso en en_US
dc.subject Actors en_US
dc.subject ArbaminchZuriyaworeda en_US
dc.subject Mango en_US
dc.subject MultipleLinearRegression Model en_US
dc.subject Multivariateprobitmodel en_US
dc.subject ValueChainAnalysis en_US
dc.title Analysisofmangovaluechain:thecaseofarbaminchzuriya woreda,gamogofazone,southernnations,nationalitiesand peoples’region,Ethiopia en_US
dc.type Thesis en_US


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