Gross margin analysis of maize-based cropping systems in Oyo State, Nigeria

Olorunsanya, EO; Akinyemi, Olasunkanmi Oriola

doi:10.4314/ijard.v5i1.2573

Cited by 1 publication

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“…Gross margin analysis is used to compare returns from different cropping patterns. For instance [ 32 ], used gross margin analysis to compare returns from maize based intercropping systems in Nigeria. The results from such comparisons are usually used as input in farm planning.…”

Section: Methodsmentioning

confidence: 99%

“…We think because of the ease of computing both the revenue and costs in the production system, gross margin analysis has largely been applied to cropping enterprises. There are many examples of the application of gross margins analysis to cropping enterprises [ 32 ]. applied it to compare returns from maize-based intercropping systems [ 33 ], used it for potato production [ 31 ], applied it to mungbean production [ 34 ], applied it to cassava production [ 30 ], applied it for sesame production while [ 35 ] used gross margin analysis to assess the impact and financial viability of rural women’s food security projects.…”

Section: Methodsmentioning

confidence: 99%

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A gross margin analysis for Nguni cattle farmers in Limpopo Province, South Africa

et al. 2021

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Factors such as increases in population, urbanization, growth in per capita income and changes in consumer taste and preferences are causing gradual increases in livestock product consumption and demand. South Africa is addressing this predicted increase in livestock products demand by commercializing smallholder livestock producers. The Limpopo Industrial Development Corporation (IDC) Nguni Cattle Development Project is an example of such effort. The economic performance of these efforts needs to be evaluated. We use gross margin analysis to evaluate the performance of the Limpopo IDC Nguni Cattle Development Project. Additionally, we use regression analysis to identify factors influencing gross margins. Our results indicate that although smallholders show potential to commercialize, they lack commercial farming experience and require that a strong extension support system be used as one of the strategies to improve profitability. We also noted that individual farmers were more profitable than group farmers. Multiple regression analysis shows that three variables could be used to stimulate gross margin among the Limpopo IDC Nguni Cattle Development Project farmers. These are herd size, distance to market and farm size. Since farm size is a given, policy should focus on assisting farmers to build their herds and to have better access to markets.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%