The study evaluates the livelihood status and its socio-economic determinants among fadama III Tomato Farmers in Kano State, Nigeria. Multi-stage sampling procedure were used for the study and primary data were collected from a sample of 312 smallholder tomato farmers using structured questionnaire. The data were analyzed using descriptive such as frequency and percentage, minimum, mean, maximum and standard deviation and inferential statistics such as Livelihood Security Index (LSI) and Propensity Score Matching (PSM). Findings of the study revealed that Result of the study shows that tomato production is dominated among young active (41 years), male (99.4%) people who were married (89.4%) and attended more of western formal education (74.7%). Livelihood status index result indicated that RPCs technologies users had higher livelihood status (0.40) than the livelihood status (0.38) obtained by TWBs technologies users. The high index score obtained could be attributed to better access to empowerment training, availability of food, access and control to economic resources together with availability and access to health care and educational facility and services in the study area. Socio-economic factors such as education, access to credit, farm size, household size, experience and marriage were observed to influence the livelihood condition of the farmers in the study area. The study recommended that rural development policies need to promote awareness on the RPCs technology through relatively experienced farmers that have access to credit with relatively large farm holding to reduce post-harvest losses and subsequently improved the livelihood of Fadama III tomato farmers.
The study assessed the impact of RPCs technologies on post-harvest losses and livelihood status of fadama III Tomato Farmers in Kano State, Nigeria. Multi stage sampling procedure were used for the study and primary data were collected from a sample of three hundred and twelve (312) smallholder tomato farmers using structured questionnaire. The data were analyzed using descriptive statistics such as frequency and percentage, minimum, mean, maximum and standard and inferential statistics such as Propensity Score Matching (PSM). Result of the study showed that tomato production is dominated among young active (41 years), male (99.4%) people who were married (89.4%) and attended more of western formal education (74.7%). Findings of the study revealed that 63.78% of the smallholder tomato farmers were using TWBs to store their tomatoes. The remaining 36.22% were using RPCs to store their tomato fruit in the study area. Estimated average treatment effect indicated that the quantity of post-harvest tomato losses of RPCs technology users decreases with an average quantity of -3881.07 kg to -4141.83 kg depending on matching algorism. The result further revealed that adoption of RPCs technology affects the livelihood status of tomato farmers to increase with an average value of 0.047 to 0.057 depending on matching algorism when RPCs technology was used in the study area. The study recommended that rural development policies should be put in place to promote awareness about the impact of RPCs technology on the livelihood improvement among women using capacity building training.
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