Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22778
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dc.contributor.authorKondo, Kodjoen
dc.contributor.authorFleming, Euanen
dc.contributor.authorCacho, Oscar Jen
dc.contributor.authorVillano, Renatoen
dc.date.accessioned2018-04-05T09:49:00Z-
dc.date.created2016en
dc.date.issued2017-
dc.identifier.urihttps://hdl.handle.net/1959.11/22778-
dc.description.abstractCassava is an important tropical root crop for food security and national economies. In Ghana, the roots are used in popular local cuisines as well as in brewery, bakery, confectionery and plywood industries. A number of high-yielding and disease-resistant varieties are released and promoted to increase productivity and improve rural welfare. The study used a sequential mixed-method approach to identify, among drivers and impediments, the dissemination mechanism with highest impact on the adoption of improved cassava varieties (ICVs) and its intensity. The analyses helped estimate the impact of ICV adoption on productivity and households' livelihood, and to provide evidence of technological, managerial, and environmental gaps between adopters and non-adopters. Data were collected in 2014 from 608 randomly selected cassava-producing households in 14 communities in six districts of the Ashanti and Brong-Ahafo regions. Summary statistics reveal a 25 percent ICV adoption rate. Econometric analyses indicate significant and positive effects on the likelihood of households' ICV adoption for group members, the number of varieties planted, the number of livestock owned and information received mostly through innovation platforms (IPs). Impediments to ICV adoption include the location in the Ashanti region, household size, distances to the nearest tarred road and market, and grey-skin colour of ICVs. Results from propensity score matching and instrumental variable approaches indicate positive impacts of ICV adoption on cassava and whole-farm productivities and on per-capita annual crop income. Adopters appear to incur lower total annual per-capita expenditures and expenditures on food than non-adopters but spend more on children’s education. Bias-corrected stochastic output distance functions and stochastic metafrontier production functions showed strong evidence of technological, managerial, and environmental gaps between adopters and non-adopters in both cassava and whole-farm production. In both cases, adopters were found to operate on higher frontiers and to be more efficient than non-adopters. Adopters also appear to operate in a more favourable 2 production environment than non-adopters. The study provides strong evidence of inefficiency in cassava production for both ICV adopters and non-adopters. Findings imply that policy measures could be taken to increase the 25 percent ICV adoption rate through the establishment of IPs, focusing on households in Brong-Ahafo and those who are group members that integrate livestock-farming with cassava production. ICV adoption is expected to lead to increased productivity through technological change and enhanced efficiency. Moreover, the adoption of ICVs has the potential to increase crop incomes, food security and result in higher investment in children’s education, especially for female-headed households.en
dc.languageenen
dc.titleAdoption and impact of improved cassava varieties: Evidence from Ghanaen
dc.typeThesis Doctoralen
dc.subject.keywordsAgricultural Production Systems Simulationen
dc.subject.keywordsFarm Management, Rural Management and Agribusinessen
dc.subject.keywordsFarming Systems Researchen
local.contributor.firstnameKodjoen
local.contributor.firstnameEuanen
local.contributor.firstnameOscar Jen
local.contributor.firstnameRenatoen
local.access.embargoedto2018-04-08en
local.subject.for2008070103 Agricultural Production Systems Simulationen
local.subject.for2008070107 Farming Systems Researchen
local.subject.for2008070106 Farm Management, Rural Management and Agribusinessen
local.subject.seo2008820401 Maizeen
local.subject.seo2008820404 Sorghumen
local.subject.seo2008820506 Oatsen
dcterms.RightsStatementCopyright 2016 - Kodjo Kondoen
dc.date.conferred2017en
local.hos.emailhoshass@une.edu.auen
local.thesis.degreelevelDoctoralen
local.thesis.degreenameDoctor of Philosophyen
local.contributor.grantorUniversity of New Englanden
local.profile.schoolUNE Business Schoolen
local.profile.schoolUNE Business Schoolen
local.profile.schoolUNE Business Schoolen
local.profile.emailkkondo3@une.edu.auen
local.profile.emailefleming@une.edu.auen
local.profile.emailocacho@une.edu.auen
local.profile.emailrvillan2@une.edu.auen
local.output.categoryT2en
local.access.restrictedtoAccess restricted until 2018-04-08en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune_thesis-20160506-15070en
local.title.subtitleEvidence from Ghanaen
local.access.fulltextNoen
local.contributor.lastnameKondoen
local.contributor.lastnameFlemingen
local.contributor.lastnameCachoen
local.contributor.lastnameVillanoen
dc.identifier.staffune-id:kkondo3en
dc.identifier.staffune-id:eflemingen
dc.identifier.staffune-id:ocachoen
dc.identifier.staffune-id:rvillan2en
local.profile.orcid0000-0003-2581-6623en
local.profile.roleauthoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:22962en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleAdoption and impact of improved cassava varietiesen
local.output.categorydescriptionT2 Thesis - Doctorate by Researchen
local.access.restrictuntil2018-04-08en
local.school.graduationSchool of Humanities, Arts & Social Sciencesen
local.thesis.borndigitalyesen
local.search.authorKondo, Kodjoen
local.search.supervisorFleming, Euanen
local.search.supervisorCacho, Oscar Jen
local.search.supervisorVillano, Renatoen
local.uneassociationYesen
local.year.conferred2017en
local.subject.for2020300205 Agricultural production systems simulationen
local.subject.for2020300207 Agricultural systems analysis and modellingen
local.subject.for2020300208 Farm management, rural management and agribusinessen
local.subject.seo2020260306 Maizeen
local.subject.seo2020260310 Sorghumen
local.subject.seo2020260307 Oatsen
Appears in Collections:Thesis Doctoral
UNE Business School
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