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dc.contributor.authorAmwine, Amos
dc.date.accessioned2023-09-28T12:38:26Z
dc.date.available2023-09-28T12:38:26Z
dc.date.issued2022-12
dc.identifier.citationAmwine, A. (2022). Factors affecting beans productivity in Uganda. (Unpublished Research Project Report). Makerere University, Kampala, Uganda.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/16481
dc.descriptionA research project report submitted to the Department of Agribusiness and Natural Resource Economics in partial fulfilment of the requirements for the award of the degree of Bachelor of Agribusiness Management of Makerere University.en_US
dc.description.abstractThis study aimed to determine the factors affecting bean productivity in Uganda. The specific objectives were to identify the socio-economic characteristics of bean farmers, assess bean productivity levels, and determine the factors influencing productivity. Data was collected from 3,076 bean farmers, and various statistical analyses were performed to draw meaningful conclusions. The research analyzed data using tables, frequencies, percentages, and regression analysis. 1. Socio-economic Characteristics: The majority of bean farmers were male (64.4%) compared to females (35.6%). Most farmers did not use organic fertilizers (88%) and inorganic fertilizers (94.6%). The average age of bean farmers was 44 years, with an average household size of 5 members and 1 acre of land owned, with 0.76 acres allocated to beans. 2. Bean Productivity: The study found that bean productivity averaged 134.8 kgs of dry beans per acre throughout the year. The mean productivity in the second season of 2018 was 95.85 kgs per acre, while the first season of 2019 had 146 kgs per acre. 3. Factors Influencing Bean Productivity: Regression analysis identified significant factors affecting bean productivity. Older farmers had lower productivity compared to younger ones. Larger land size negatively influenced productivity, suggesting efficiency-enhancing and redistributive land reforms. The use of improved seeds positively affected productivity, emphasizing the importance of adopting high-quality seeds. Conclusion: The study concluded that age, land size, and the use of improved seeds significantly affected bean productivity in Uganda. It also noted a positive change in bean yields between seasons in 2018 and 2019. Recommendations: Based on the findings, it is recommended to focus extension services on older farmers to improve their productivity. Implementing efficiency-enhancing and redistributive land reforms can address land size-related challenges. Additionally, promoting the use of improved seeds will enhance bean productivity in the country.en_US
dc.description.sponsorshipGovernment of Uganda Direct Entry Scholarship Scheme.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectBeansen_US
dc.subjectBeans Productivityen_US
dc.subjectUgandaen_US
dc.titleFactors affecting beans productivity in Ugandaen_US
dc.typeThesisen_US


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