Sweet potato is one of the important staple food for majority of Ugandans. As such, it is depended on by many households. Reportedly, sweet potatoes production is low especially in Western Uganda. This may have been attributed to resource misallocation leading to some levels of efficiency or inefficiency. However, the current level of efficiency or inefficiency and its determinants in sweet potatoes production is unknown. As such, this study determined technical efficiency and its determinants among sweet potatoes farmers in western Uganda. Data were collected from 160 households using multistage and random sampling techniques. After data cleaning, 151 questionnaires were considered for the study. Data envelopment analysis was used to determine technical efficiency while Tobit regression model was used to analyse the determinants technical efficiency. The results showed that the mean technical efficiency stood at 55%. Accordingly, household size, farm location, group membership and use of pesticides had a positive and statistically significant effect on technical efficiency while farm size and input prices had an inverse and statistically significant association with technical efficiency. To increase on sweet potatoes yields, farmers should be encouraged to form various groups where they could share production ideas, use pesticides for effective control of weeds and government should subsidise farm inputs to improve on affordability and timely acquisition.
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 farmers in Jinja district, followed by data analysis using descriptive statistics and Binary logistic regression model. Additionally, we used Chi-square and t-test to compare farmers with and without access to credit. The results showed that 62.83% of the farmers had access to credit. Additionally, farmers with access to credit were generally better off than those without access to credit. Having a mobile phone (p<0.01), group membership (p<0.01), access to extension (p<0.05), farm size (p<0.01) and distance to the market (p<0.05) had a positive and significant effect on credit access while non-farm income (p<0.05) showed an inverse relationship with credit access. To increase credit access among the smallholder farmers, farmers should be encouraged to purchase mobile phones and join groups where they would disseminate information on the various source of agricultural credit. Extension workers should also make effects of reaching all the farmers and training them on ways of accessing agricultural credit
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 farmers in Jinja district, followed by data analysis using descriptive statistics and Binary logistic regression model. Additionally, we used Chi-square and t-test to compare farmers with and without access to credit. The results showed that 62.83% of the farmers had access to credit. Additionally, farmers with access to credit were generally better off than those without access to credit. Having a mobile phone (p<0.01), group membership (p<0.01), access to extension (p<0.05), farm size (p<0.01) and distance to the market (p<0.05) had a positive and significant effect on credit access while non-farm income (p<0.05) showed an inverse relationship with credit access. To increase credit access among the smallholder farmers, farmers should be encouraged to purchase mobile phones and join groups where they would disseminate information on the various source of agricultural credit. Extension workers should also make effects of reaching all the farmers and training them on ways of accessing agricultural credit.
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