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Adoption and impacts of improved beehive technologies in the miombo woodland of Tanzania

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dc.contributor.author Kuboja, Nicholaus M.
dc.contributor.author Isinika, A.C.
dc.contributor.author Kilima, Fredy T.
dc.date.accessioned 2024-10-02T08:22:01Z
dc.date.available 2024-10-02T08:22:01Z
dc.date.issued 2020
dc.identifier.uri http://repository.mocu.ac.tz/xmlui/handle/123456789/1488
dc.description.abstract This paper analyzes the adoption and impacts of improved beehives on households’ income using cross-sectional data sourced from a sample of 198 beekeepers in western Tanzania who adopted improved beehives. Propensity score matching and the endogenous switching regression model are used to assess the adoption and impacts. Results show that the adoption of improved beehives resulted in significant increase in beekeepers’ income. An analysis of the determinants of adoption revealed age of the household head, years of formal schooling, access to credit, access to extension services, training and experience in beekeeping as key factors influencing the adoption. There is a need to promote the use of improved beehives so as to enhance productivity and boost income among small-scale beekeepers. Efforts to improve access to and use of improved beehives technologies should be part and parcel of income poverty reduction strategies in the study areas where beekeeping is a key livelihood activity but adoption is low. Policies that enhance the diffusion and adoption of improved beehives should be central to income poverty reduction strategies in Tanzania. en_US
dc.language.iso en en_US
dc.publisher Moshi Co-operative University en_US
dc.subject Improved-beehives en_US
dc.subject Adoption en_US
dc.subject Endogenous en_US
dc.subject Switching-regression en_US
dc.subject Propensity en_US
dc.subject Score-matching en_US
dc.subject Households en_US
dc.subject Income en_US
dc.title Adoption and impacts of improved beehive technologies in the miombo woodland of Tanzania en_US
dc.type Article en_US


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