Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/56205
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dc.contributor.authorBahta, Siraken
dc.contributor.authorTemoso, Omphileen
dc.contributor.authorNg'ombe, John Nen
dc.contributor.authorRich, Karl Men
dc.contributor.authorBaker, Dereken
dc.contributor.authorKaitibie, Simeonen
dc.contributor.authorMalope, Patricken
dc.date.accessioned2023-09-27T03:58:08Z-
dc.date.available2023-09-27T03:58:08Z-
dc.date.issued2023-06-13-
dc.identifier.citationFrontiers in Sustainable Food Systems, v.7, p. 1-16en
dc.identifier.issn2571-581Xen
dc.identifier.urihttps://hdl.handle.net/1959.11/56205-
dc.description.abstract<p><b>Introduction:</b> Efficiency in food production is crucial for sustainable agriculture in developing countries. This paper contributes to the existing literature by presenting an innovative approach to modeling productive efficiency in beef cattle production. Treating farm performance across regions as unobserved heterogeneity, we determine technical efficiency of beef cattle production in Botswana. We aim to shed light on the factors influencing efficiency in this sector.</p> <p><b>Methods:</b> The study utilized block-level data from various annual agricultural surveys (2006–2014) covering 26 agricultural districts and six agro-ecological regions in Botswana. We employed a latent class stochastic frontier model complemented with the stochastic meta-frontier analysis.</p> <p><b>Results:</b> Results show that the best performing farming systems in terms of efficiency are districts with well-developed infrastructure and better access to output and input markets. In contrast, the farming systems that perform poorly consist of agricultural districts without access to livestock advisory centers, with higher average temperatures and foot and mouth disease, limiting access to export markets. The mean technical efficiency scores for beef production for agricultural districts in class one and two were 62 and 59%, respectively, implying high potential to improve beef production using the same level of agricultural inputs through efficiency-enhancing investments.</p> <p><b>Discussion:</b> Based on our results, it is crucial for agricultural policies to prioritize regionally specific investments that address the needs of the under-performing districts. By targeting the lagging districts, policymakers can help beef producers improve their input efficiency and bridge the technological gaps to the meta-frontier. This can be achieved through investments in infrastructure, access to livestock advisory services, and disease control measures. Such efforts will not only enhance the efficiency of beef production but also contribute to the overall sustainability of the agricultural sector in Botswana.</p>en
dc.languageenen
dc.publisherFrontiers Research Foundationen
dc.relation.ispartofFrontiers in Sustainable Food Systemsen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleProductive efficiency of beef cattle production in Botswana: a latent class stochastic meta-frontier analysisen
dc.typeJournal Articleen
dc.identifier.doi10.3389/fsufs.2023.1098642en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameSiraken
local.contributor.firstnameOmphileen
local.contributor.firstnameJohn Nen
local.contributor.firstnameKarl Men
local.contributor.firstnameDereken
local.contributor.firstnameSimeonen
local.contributor.firstnamePatricken
local.profile.schoolUNE Business Schoolen
local.profile.schoolUNE Business Schoolen
local.profile.emailotemoso2@une.edu.auen
local.profile.emailabaker33@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeSwitzerlanden
local.identifier.runningnumber1098642en
local.format.startpage1en
local.format.endpage16en
local.peerreviewedYesen
local.identifier.volume7en
local.title.subtitlea latent class stochastic meta-frontier analysisen
local.access.fulltextYesen
local.contributor.lastnameBahtaen
local.contributor.lastnameTemosoen
local.contributor.lastnameNg'ombeen
local.contributor.lastnameRichen
local.contributor.lastnameBakeren
local.contributor.lastnameKaitibieen
local.contributor.lastnameMalopeen
dc.identifier.staffune-id:otemoso2en
dc.identifier.staffune-id:abaker33en
local.profile.orcid0000-0001-8083-5291en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
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local.identifier.unepublicationidune:1959.11/56205en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleProductive efficiency of beef cattle production in Botswanaen
local.relation.fundingsourcenoteThis research was conducted as part of the CGIAR Initiative Sustainable Animal Productivity for Livelihoods, Nutrition and Gender Inclusion (SAPLING) and is supported by contributors to the CGIAR Trust Fund.en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorBahta, Siraken
local.search.authorTemoso, Omphileen
local.search.authorNg'ombe, John Nen
local.search.authorRich, Karl Men
local.search.authorBaker, Dereken
local.search.authorKaitibie, Simeonen
local.search.authorMalope, Patricken
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/06a8661b-7ffb-4fc5-9ec9-d338b76d0337en
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2023-
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/06a8661b-7ffb-4fc5-9ec9-d338b76d0337en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/06a8661b-7ffb-4fc5-9ec9-d338b76d0337en
local.subject.for2020300208 Farm management, rural management and agribusinessen
local.subject.for2020300210 Sustainable agricultural developmenten
local.subject.for2020350405 Sport and leisure managementen
local.subject.seo2020280101 Expanding knowledge in the agricultural, food and veterinary sciencesen
local.subject.seo2020280108 Expanding knowledge in economicsen
local.subject.seo2020280115 Expanding knowledge in the information and computing sciencesen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
Appears in Collections:Journal Article
UNE Business School
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