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dc.contributor.authorOlarinde, L.O.
dc.contributor.authorAbass, A.B.
dc.contributor.authorAbdoulaye, T.
dc.contributor.authorAdepoju, A.A.
dc.contributor.authorFanifosi, E.G.
dc.contributor.authorAdio, M.O.
dc.contributor.authorAdeniyi, O.A.
dc.contributor.authorWasiu, A.
dc.date.accessioned2022-08-24T13:06:36Z
dc.date.available2022-08-24T13:06:36Z
dc.date.issued2020
dc.identifier.citationOlarinde, L.O., Abass, A.B., Abdoulaye, T., Adepoju, A.A., Fanifosi, E.G., Adio, M.O., ... & Wasiu, A. (2020). Estimating multidimensional poverty AmongCassava producers in Nigeria: patterns and socioeconomic determinants. Sustainability, 12(13), 5366: 1-17.
dc.identifier.issn2071-1050
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7685
dc.description.abstractThe scourge of poverty, including its correlates, has been witnessing an incremental sequence over the years in Nigeria despite the natural endowment of the country. Efforts by various stakeholders to address this problem have not yielded tangible results. Using cross-sectional data collected in 2015 on 775 cassava farmers spread across four geographical zones, this study estimates multidimensional poverty of cassava producers in Nigeria. This is to determine the factors responsible for poverty increase and contribution(s) of these factors to poverty. The study found that about 74% of the respondents were multidimensionally poor. Assets and public/housing utility were the main contributors to aggregate multidimensional poverty index (MPI), while education and health contributed most to povertyreduction. The results also showed major contributing indicators to MPI to be formal employment, school enrolment, years of schooling, frequency of hospital visits, and household assets’ ownership. The South-eastzone of Nigeria had the highest adjusted headcount of poverty among cassava producers. The estimated coefficient of age, farming experience, years of schooling, household size, and access to informal credit were significant determinants of poverty in the study area. In conclusion, the results suggest that although Nigeria is a federation of more than 30 states that continue to rely on nation-wide policy initiatives of the central government, policies on cassava aiming to lift millions of people out of poverty should instead vary according to the peculiar poverty dimensions of each federation unit. We suggest reform in the agriculture sector that will emphasize facilitation and access to incentives (credits, training, extension, cooperate system, etc.) by younger farmers to engage in modern cassava farming, thereby, enhancing the chances of rural cassava growers to move out of poverty.
dc.description.sponsorshipInternational Fund for Agricultural Development
dc.format.extent1-17
dc.language.isoen
dc.subjectPoverty
dc.subjectCassava
dc.subjectFarmers
dc.subjectNigeria
dc.titleEstimating multidimensional poverty AmongCassava producers in Nigeria: patterns and socioeconomic determinants
dc.typeJournal Article
cg.contributor.crpAgriculture for Nutrition and Health
cg.contributor.crpMaize
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.crpPolicies, Institutions and Markets
cg.contributor.affiliationLadoke Akintola University of Technology
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationKwara State University
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubEastern Africa Hub
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeSocial Science and Agribusiness
cg.identifier.bibtexciteidOLARINDE:2020
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgribusiness
cg.iitasubjectAgronomy
cg.iitasubjectCassava
cg.iitasubjectNatural Resource Management
cg.iitasubjectSmallholder Farmers
cg.journalSustainability
cg.notesPublished online: 02 Jul 2020
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.3390/su12135366
cg.iitaauthor.identifierAdebayo Abass: 0000-0003-1376-3608
cg.iitaauthor.identifierTahirou Abdoulaye: 0000-0002-8072-1363
cg.iitaauthor.identifierWasiu Awoyale: 0000-0002-3635-1414
cg.futureupdate.requiredNo
cg.identifier.issue13
cg.identifier.volume12


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