Assessing maize enterprise viability among smallholder farmers in Murehwa District, Zimbabwe: Implications for socioeconomic policy
2025
Manyanga, Mark | Gerard, Françoise | Pedzisa, Tarisai | Mutoro, Blessing | Hanyani-Mlambo, Benjamine
In the realm of climate change, maize crop yield continues to decline in most parts of Africa owing to extreme weather events. Although maize production plays a significant role in ensuring food and nutrition security and increasing household income, little is known about the viability of the enterprise for households with different socioeconomic statuses. The study relied on primary data collected from 248 randomly selected smallholder farmers in the Murehwa District of Zimbabwe. We estimated maize enterprise viability using gross margin analysis. We then investigated the factors driving productivity using log-linear regression analysis. We classified rural households into four groups by applying principal component and hierarchical cluster analyses using ward linkages. Our results reveal that maize is viable across all socioeconomic classes of households, with the better-off having the highest gross margin and the poorest having the least. Family size, area cultivated, number of cattle owned, quantity of maize required for household remittances, and distance to market affect the viability of maize production enterprises. Furthermore, we found a positive correlation between maize viability and the socioeconomic status of households. Improving market conditions and safety nets in terms of input provision can increase productivity and boost gross margins, especially for the poorest and poor households. There is a need for establishing breakeven areas, and providing credit facilities and subsidies to local agrodealers can help manage cash flow and reduce transportation costs.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Centre de coopération internationale en recherche agronomique pour le développement
Découvrez la collection de ce fournisseur de données dans AGRIS