MoreMilkIT - Uncertainty in milk production study

cg.contributor.affiliationInternational Livestock Research Instituteen
cg.contributor.affiliationWageningen University & Research Centreen
cg.contributor.affiliationHeifer Internationalen
cg.contributor.affiliationSokoine University of Agricultureen
cg.contributor.affiliationNetherlands Organisation for Scientific Researchen
cg.contributor.affiliationTanzania Dairy Boarden
cg.contributor.affiliationFaida Market Linken
cg.contributor.crpLivestock and Fish
cg.contributor.crpLivestock
cg.contributor.donorIrish Aiden
cg.coverage.countryTanzania
cg.coverage.iso3166-alpha2TZ
cg.coverage.regionEastern Africa
cg.creator.identifierIsabelle Baltenweck: 0000-0002-4147-5921
cg.identifier.urlhttps://hdl.handle.net/20.500.11766.1/FK2/AXYEN6en
cg.link.citationTwine, E.E., Omore, A. and Githinji, J. 2017. Uncertainty in smallholder milk production in Tanzania: Implications for investment. Livestock Brief 3. Nairobi, Kenya: ILRI.en
cg.link.citationTwine, E.E., Omore, O. and Githinji, J. 2017. Uncertainty in milk production by smallholders in Tanzania and its implications for investment. International Food and Agribusiness Management Review 21(1): 53–72.en
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactAreaPoverty reduction, livelihoods and jobs
cg.subject.sdgSDG 1 - No povertyen
cg.subject.sdgSDG 2 - Zero hungeren
cg.subject.sdgSDG 8 - Decent work and economic growthen
dc.contributor.authorOmore, Amosen
dc.contributor.authorTwine, Edgaren
dc.contributor.authorRao, E.J.O.en
dc.contributor.authorBaltenweck, Isabelleen
dc.date.accessioned2024-04-26T11:17:49Zen
dc.date.available2024-04-26T11:17:49Zen
dc.identifier.urihttps://hdl.handle.net/10568/141621
dc.titleMoreMilkIT - Uncertainty in milk production studyen
dcterms.abstractMore milk by and for the poor: Adapting dairy market hubs for pro-poor smallholder value chains in Tanzania (MoreMilkIT) The MoreMilkiT project aims to achieve inclusive growth and reduced poverty and vulnerability among people with dairy- dependent livelihoods in selected rural areas in Tanzania. The project is primarily targeted at pre-commercial marginalized smallholder cattle-keeping men and women who do not currently participate fully in dairy value chains, The data for the study was collected in August 2016 at one of the MoreMilkIT project sites, Lushoto district, located in the north of the Tanga region in the eastern milk shed. The study relied on representative smallholder dairy farms as study units. Farmers who undertake commercial milk production and own the dairy enterprise were the primary criteria guiding the selection of representative dairy farmers for each gender category. Farmers were also selected based on their willingness and ability to provide accurate and substantial enterprise data. Impact of risk on cash flows was examined for a single cow for one lactation period (300 days), and the impact of uncertainty on investment decisions was determined using capital budgeting methods. This study was supported by NWO-WOTRO through the LIQUID project and Irish Aid in Tanzania through the MoreMilkiT project. The authors are also grateful to the dairy farmers who provided the data for the study.en
dcterms.accessRightsOpen Access
dcterms.available2016-12-31
dcterms.bibliographicCitationAmos Omore, Edgar Twine, James Rao, Isabelle Baltenweck. (31/12/2016). MoreMilkIT - Uncertainty in milk production study [Socio-economic and production study data].en
dcterms.issued2016-12-31
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherInternational Livestock Research Instituteen
dcterms.relationhttps://hdl.handle.net/10568/89709en
dcterms.relationhttps://doi.org/10.22434/IFAMR2017.0028en
dcterms.subjectmarketsen
dcterms.subjectanimal productionen
dcterms.subjectvalue chainsen
dcterms.subjectvulnerabilityen
dcterms.subjectdairyingen
dcterms.subjectgoal 1 no povertyen
dcterms.subjectgoal 2 zero hungeren
dcterms.subjectdairy byproductsen
dcterms.subjectcattleen
dcterms.subjectdecent work and economic growthen
dcterms.subjectpoverty reduction, livelihoods and jobsen
dcterms.subjectmarket hubsen
dcterms.typeDataset

Files