Livelihood diversification and food security of maize-growing households in techiman municipality of Ghana

Agricultural growth alone cannot end hunger in sub-Saharan Africa. Livelihood diversification combining on-farm and off-farm income sources may strengthen household food security. This study examines diversification among maize farmers in Techiman Municipality, Ghana, using primary data from 392 farmers selected via multi-stage sampling. We estimate a probit model for determinants of diversification and use a doubly-robust inverse-probability-weighted regression adjustment (IPWRA) to assess effects on food security measured by the nine-item Household Food Insecurity Access Scale (HFIAS). The study found that 75% of farmers diversify on-farm and 26% off-farm. Marital status, farming experience, access to credit, farmer-based organisation (FBO) membership, and maize income increase the probability of high diversification, while farm ownership decreases it. Diversification is associated with lower food insecurity: the HFIAS mean falls from 5.22 (low diversification) to 2.14 (high diversification) (ATET = − 3.08; p < 0.01). The study recommends implementing a smart input-credit scale under PFJ 2.0 through FBOs, tying working capital to petty trade, agro-processing, and livestock modules, utilizing GIRSAL guarantees to de-risk rural credit, and embedding short skills courses (pricing, bookkeeping, food hygiene) with market-linkage contracts. These actions can accelerate Ghana’s progress towards SDG 2 while operationalising Agenda for Jobs II (2022–2025).

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Publication Details

Journal
Discover Food
Published
2026-01-07
DOI
https://doi.org/10.1007/s44187-025-00677-z
Primary Topic
Food Security and Health in Diverse Populations
Type
article
Field-Weighted Citation Impact
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article

Livelihood diversification and food security of maize-growing households in techiman municipality of Ghana

Alice Takyiwaa Baah, Reuben Amewuda, Bismark Amfo, Narh Esther
Discover Food
Food Security and Health in Diverse Populations
article

Livelihood diversification and food security of maize-growing households in techiman municipality of Ghana

Alice Takyiwaa Baah, Reuben Amewuda, Bismark Amfo, Narh Esther
article en

Abstract

Agricultural growth alone cannot end hunger in sub-Saharan Africa. Livelihood diversification combining on-farm and off-farm income sources may strengthen household food security. This study examines diversification among maize farmers in Techiman Municipality, Ghana, using primary data from 392 farmers selected via multi-stage sampling. We estimate a probit model for determinants of diversification and use a doubly-robust inverse-probability-weighted regression adjustment (IPWRA) to assess effects on food security measured by the nine-item Household Food Insecurity Access Scale (HFIAS). The study found that 75% of farmers diversify on-farm and 26% off-farm. Marital status, farming experience, access to credit, farmer-based organisation (FBO) membership, and maize income increase the probability of high diversification, while farm ownership decreases it. Diversification is associated with lower food insecurity: the HFIAS mean falls from 5.22 (low diversification) to 2.14 (high diversification) (ATET = − 3.08; p < 0.01). The study recommends implementing a smart input-credit scale under PFJ 2.0 through FBOs, tying working capital to petty trade, agro-processing, and livestock modules, utilizing GIRSAL guarantees to de-risk rural credit, and embedding short skills courses (pricing, bookkeeping, food hygiene) with market-linkage contracts. These actions can accelerate Ghana’s progress towards SDG 2 while operationalising Agenda for Jobs II (2022–2025).

Discover FoodVol. 6(1)
Kwame Nkrumah University of Science and Technology (GH), University for Development Studies (GH)
Zero hunger
Openalex Percentile: Top 97%
Food Security and Health in Diverse Populations
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Livelihood diversification and food security of maize-growing households in techiman municipality of Ghana — Alice Takyiwaa Baah, Reuben Amewuda, et al. · Discover Food (2026) | TGRS Research Map | TGRS