Show simple item record

dc.contributor.authorKaahwa, Vivian Hilary
dc.date.accessioned2023-02-01T12:53:06Z
dc.date.available2023-02-01T12:53:06Z
dc.date.issued2022-11
dc.identifier.citationKaahwa, V. H. (2022). Assessing saving mechanisms in commercial banks in rural areas: a case study of Bunyoro Region. Unpublished undergraduate dissertation. Makerere University, Kampala, Ugandaen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/15258
dc.descriptionA dissertation submitted to the School of Statistics and Planning in partial fulfillment of the requirements for the award of a Bachelor of Science degree in Business Statistics of Makerere Universityen_US
dc.description.abstractThis study was conducted in Uganda. The aim of this research work was to find out the factors influencing saving mechanisms in commercial banks in rural areas specifically Bunyoro region. The study used secondary data of UNHS of 2019/20 by UBOS and was quantitative in nature. STATA software was used to analyze the data (into univariate, bivariate and multivariate) and frequency tables and percentages were generated to present findings. Chi-square test was used to test the first two hypotheses and logistic regression used to test the third hypothesis both at 5% level of significance. The Chi-square results revealed that; age, sex, marriage status, difficulty seeing, wearing a hearing aid, difficulty communication, difficulty walking, education level, industry of employment, status of employment, household size, household income stability, and monthly household expenditure were statistically significantly associated with saving in commercial banks in rural areas each with p-values (p=0.00, p=0.00, p=0.000, p=0.067, p=0.335, p=0.616, p=0.688, p=0.000,p=0.000,p=0.001, p=0.000, p=0.133 ) respectively which were less than 0.05 at 5% level of significance. However, Any member of your household operates any land for growing crops and Any member of your household own and/or raise any livestock, herds, other were found not statistically significantly associated with saving in commercial banks in rural areas. The logistic regression results revealed that; age, status of employment activities and household income were statistically significantly associated saving in commercial banks in rural areas hence predictors of saving in commercial banks in rural areas since their p-values were less than 0.05 at 5% level of significance. From the research findings, the researcher recommended that; government should provide free education, healthy work environment, Rebate on agriculturist products and subsidies for livestock dairy farms. Industries should be developed in rural areas as cheaper labor resources are availableen_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectUNHS Dataen_US
dc.subjectBunyoro regionen_US
dc.subjectCommercial banksen_US
dc.subjectSaving mechanismsen_US
dc.subjectRural areasen_US
dc.titleAssessing saving mechanisms in commercial banks in rural areas: a case study of Bunyoro region: evidence from UNHS Data 2019/20en_US
dc.typeThesisen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record