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dc.contributor.authorKusemererwa, Lilian
dc.date.accessioned2023-12-05T12:21:49Z
dc.date.available2023-12-05T12:21:49Z
dc.date.issued2023-08
dc.identifier.citationKusemererwa, L. (2023). Determinants of beans production in Uganda. Unpublished undergraduate dissertation, Makerere Universityen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/17539
dc.descriptionA dissertation submitted to the School of Statistics and Planning in partial fulfilment of the requirements for the award of the degree of Bachelor of Statistics of Makerere Universityen_US
dc.description.abstractBackground: This study focused on assessing the determinants of beans production in Uganda, examining demographic factors (age, gender, and region) and socio-economic factors (education level, literacy, and cost of inputs). It aimed at understanding how these variables influence the quantity of beans harvested. The findings will inform strategies and policies to improve beans production, benefiting government bodies, policymakers, and beans producers in Uganda. Methodology: The methodology for this study entails conducting research in Uganda, specifically targeting beans-growing households as the focal population. Data was obtained from the UBOS Annual Agricultural Survey 2020, utilizing a sample size of 287 observations. Descriptive analysis utilizing STATA version 15.0 summarizes the determinant variables, while multivariate analysis, particularly regression analysis, was employed to assess the influence of independent variables on beans production. The primary objective of this methodology was to gain a deeper understanding of the factors that impact beans production in Uganda. Results: The study's baseline characteristics revealed that the majority of bean farmers were in the 50++ age group, with substantial representation from the 40-49 and 30-39 age groups. The Eastern region had the highest number of bean farmers, followed by the Western, Northern, and Central regions. Male farmers constituted the majority of the sample, and most farmers had completed primary education. The multivariate analysis identified significant factors influencing bean productivity, including age, region, gender, education level, and the costs of fertilizers and pesticides. Older age, being in the Eastern or Northern region, higher education levels, and increased investments in fertilizers and pesticides were associated with higher productivity. These results provide valuable insights for optimizing bean production by considering these factors.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectBeans productionen_US
dc.subjectUgandaen_US
dc.titleDeterminants of beans production in Ugandaen_US
dc.typeThesisen_US


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