Drivers of Access to Credit Among Smallholder Farmers in Uganda: Application of Binary Logistic Model

This study aimed at determining the drivers of access to credit among smallholder farmers in Uganda. Using a cross-sectional survey, data were collected from 374 Jinja district, followed by analysis using descriptive statistics and Binary logistic regression model. Additionally, we used Chi-square t-test compare with without credit. The results showed that 62.83% had generally better off than those Having mobile phone (p<0.01), group membership extension (p<0.05), farm size (p<0.01) distance market (p<0.05) positive significant effect on while non-farm income an inverse relationship access. To increase farmers, should be encouraged purchase phones join groups where they would disseminate information various source agricultural Extension workers also make effects reaching all training them ways accessing