Masters Degree Dissertations

Permanent URI for this collectionhttp://localhost:4000/handle/20.500.12504/179

Browse

Browsing Masters Degree Dissertations by Subject "Agricultural households"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Determinants of access to bank credit by smallholder agricultural households in Uganda: evidence from UNHS 2019/2020
    (Kyambogo university (Unpublished work), 2024-07) Areebahoona, Anthoney
    The purpose of this research was to investigate the determinants that affect smallholder farmer’s access to bank credit in Uganda. The study used data from the Uganda National Household Survey 2019/2020 (UNHS). The study utilized a logit regression model for the data analysis. The findings from the logit model showed that farmer’s access to bank credit in Uganda was positively and significantly influenced by sex of the household head, income level of the household head, marital status of the household head, age of the household head and ownership of a bank savings account. The study’s conclusions led to the development of key policy recommendations. These include promoting a savings culture through various initiatives, providing incentives such as special savings accounts or matching deposit programs, creating customized banking products to carter to farmers needs and offering free tertiary education to graduates of Universal Primary Education (UPE), Universal Secondary Education (USE), and Universal Post O level Education and Training (UPOLET).
  • Thumbnail Image
    Item
    Modeling predictors of poverty in agricultural households in Uganda: application of multilevel and interaction methods
    (Kyambogo University (Unpublished work), 2024-07) Habimana, Robert
    This study aimed to model predictors of poverty in agricultural households in Uganda using a multilevel and interaction regression model. The research utilized data from the Uganda National Household survey (UNHS 2019/20) data from Uganda Bureau of Statistics. A logit model was used in the estimation and estimates were provided using Multilevel methods approach. Key findings suggest that poverty in agricultural households was positively and significantly influenced by gender of the household head, marital status of the household head, income stability of the household, age of the household head and livestock ownership. Additionally, regional differences accounted for 17.9 % of the variations in poverty levels in Uganda and understanding such regional differences and their influence on poverty levels can assist policymakers and organizations in designing targeted interventions and policies. Such measures can address the specific challenges faced by different regions and promote more equitable development across Uganda. However, poverty in agricultural households was negatively and significantly influenced by residence status, saving accounts ownership and household size. Based on the study's findings, the key policy recommendations were; government should continue implementing gender-focused interventions to address gender disparities especially women empowerment programs such as access to resources including land, equal access to employment opportunities and equal access to education to reduce poverty among women. Regarding income instabilities in agricultural households due to price fluctuations, government should empower famers to form farmer groups where they can collectively increase their bargaining power to avoid price fluctuations.