Determinants of Food Insecurity among Smallholder Farming Households in Southwest Nigeria
Adesomoju, O.A., E.A. Onemolease, Wole-Alo, F.I, G.O. Igene
Journal of Agriculture and Ecology Research International · pp. 120–131 · Published 10 Aug 2024
10.9734/jaeri/2024/v25i4619Abstract
The study analysed the determinants of food insecurity among smallholder farming households in South western part of Nigeria with Ondo and Osun States in focus. Multi-stage sampling procedures were employed to gather data from 389 farming households (194 from Ondo State and 195 from Osun State) spread across 4 agricultural zones, 8 local governments and 24 communities. The data was analysed using descriptive statistics, Ordinal regression and Friedman test. Results revealed the average age of the respondents was 47 years with majority being male 63.75% and married 82.26% and having an household size of 6. Most household heads were educated (94.09%), engaged in farming for about 19 years, and do not belong to cooperatives (73.26%). Respondents derived income from both farming and non-farm activities with the average farm income being N216,066.8/annum and non-farm income being about N360,000/annum. Multiple technologies were adopted by respondents such as application of herbicides (77.63%), pesticides (73.26%) and fertilizers (66.58%). Using the FANTA Cornel model, food insecurity was found to be prevalent in the study area with the majority (61.44%) of the households been severely food insecure, 35.73% were moderately food insecure while 1.80% and 1.03% were food secured and mildly food insecure. The most significant constraints to food security among the farming households were inability to access credit (mean rank = 8.78), poor storage infrastructure (8.57), inadequate capital (8.56) and high cost of farm chemicals (8.35). Significant factors related to food insecurity among the farming households were age (b = -0.059), education (b = -0.376), family size (b = 0.197), adoption of technology (b = -0.198), farm income (b = -0.335), association membership (b = -0.999), engagement in non-farm activities (b = -1.538), and access to credit (b = -0.853). Linking farmers groups to credit institutions and input suppliers were proposed.
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Cited by 4
S. Solaja, Olasunkanmi Bamiro, D. Akerele · Social Sciences & Humanities Open · 2026
Jane Onyinyechi Ezeh, E. Madukwe, Eugene C. Ukaegbu · Discover Food · 2026
E. Onemolease, Yemisi Victoria Olayinka, Olukayode Francis Peke · African Journal of Agricultural Science and Food Research · 2025
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