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1、MilkingthedataMeasuringhouseholdmilkproductioninextensivelivestocksystems.ExperimentalevidencefromNigerAlbertoZezza(WorldBank)GiovanniFederighi(UniversityofRome‘TorVergata’)Objectives,motivationandbackgroundMethodstested(focusonquestionnairedesign)Results
2、ConclusionsOutlineKeyobjective:Assessandimprovequalityofmilkproductiondatainmulti-topichouseholdsurveysNeglectinAfricanagstatisticsImportanceoflivestockforlivelihoodsImportanceofmilk(income,foodsecurity,nutrition)Householdheterogeneity(asopposedto‘tech.pa
3、rameters’)InherentdifficultiesindatacollectionMethodsmatter!Competingapproachesexist,butlittle‘hard’evidenceonwhatworksPossibleamplificationofimpact,givennationalandinternationalpartnershipsDirectuseinfuturesurveys(beyondtheprojectcountries)Motivationando
4、bjectivesLivestockandlivelihoodsinNigerGNI:650USDpc(PPP)Lifeexpectancy:55yrs.Poverty:60%(nat’l),44%(1$/day)Malnutrition:55%stunting(under-5’s)Pop.:17mln.(82%rural),4%/yeargrowthAg.:43%ofGDP,ofwhich12%Livestock9mln.cattle23mln.sheepandgoatsDominant(agro-)p
5、astoralsystemMeasurementparticularlydeficientincurrentsurveysProduceddaily,butwithseasonalpatternsVariesdependingonthelactationstageItcanbefedtocalvesProductive/lactatinganimalsmaybepresentbutnotnecessarilymilkedNon-standardunitswidelyusedImportanceforliv
6、elihoods,nutritionofruralpoorWhyMilk?Context:Surveyexperiments/validationsConsumptionexp.(ScottandAmenuvegbe,1991;Joliffe,2001;Beegleetal.,2010;Backiny-YetnaandSteele,forthcoming)Recallinag.(Beegleetal.,2011)Ag.productiondiaries(Deiningeretal.,2011)Childl
7、abor(Dillonetal.,2010)Laborstatistics(Bardasietal.,2010)Income(Beegle,ongoing)Micro-enterpiseprofits(Meletal.,2009)Presseretal.(2004)StandardLSMSlivestockproduct“table”Lossofdetail,specificity(e.g.meatvsmilk)MainmethodsMethod1:TypicalLSMS‘table’Uganda2009
8、StandardLSMSlivestockproduct“table”Lossofdetail,specificity(e.g.meatvsmilk)AverageMilk/Herd(animal)/Day(AMHD)ByanimalgroupingsDetailsonmonthsofproduction,numberofanimalsmilkedetc.Recall:12months,orshorter?Mainmethod
