Determinants of farm profit among cassava-based farming households in Osun State Nigeria: robust estimation approach

The Ordinary Least Squares (OLS) method is widely adopted in studies estimating net profit generation among farmers, despite its strong tendency to produce misleading estimates, particularly when one or more fundamental assumptions are violated. This study examined the determinants of farm income among smallholder cassava farmers in Osun State, Nigeria correcting for various assumptions violations of the classical regression model. Aside from the usual OLS estimator, we employed robust estimators such as Maximum Likelihood-type estimator (M-estimator), Monotone M-estimator (MM-estimator), and Scale estimator (S-estimator) to account for outliers. One hundred and one smallholder farmers in Osun state were randomly selected for the study. Analyses revealed that the major socioeconomic factors affecting farming household profit were access to credit, farm size, years spent in farmers’ associations, years of experience, and distance to the nearest market, which are the major determinants of net farm profit among the cassava-based farming households in the study area. On average, the return on investment (ROI) among cassava-based farming households was found to be ₦1.32 per naira invested. The research findings indicated that cassava cultivation is a profitable venture within the investigated area and recommended robust methodology for effectiveness and accurate information in future analysis.

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Publication Details

Journal
Cogent Food & Agriculture
Published
2025-01-09
DOI
https://doi.org/10.1080/23311932.2024.2449577
Citations
2
Primary Topic
Agricultural Economics and Practices
Type
article
Field-Weighted Citation Impact
9.66

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article

Determinants of farm profit among cassava-based farming households in Osun State Nigeria: robust estimation approach

Victoria Adeyemi Tanimonure, Fuad A. A. Awwad, Hassan Ogunwemimo, Ayodeji Ogunleye et al.
2 citations
Cogent Food & Agriculture
Agricultural Economics and Practices
9.66
article

Determinants of farm profit among cassava-based farming households in Osun State Nigeria: robust estimation approach

Victoria Adeyemi Tanimonure, Fuad A. A. Awwad, Hassan Ogunwemimo, Ayodeji Ogunleye, Emad Ismail, Adewale F. Lukman, O. O. Ajayi
article en
2 citations

Abstract

The Ordinary Least Squares (OLS) method is widely adopted in studies estimating net profit generation among farmers, despite its strong tendency to produce misleading estimates, particularly when one or more fundamental assumptions are violated. This study examined the determinants of farm income among smallholder cassava farmers in Osun State, Nigeria correcting for various assumptions violations of the classical regression model. Aside from the usual OLS estimator, we employed robust estimators such as Maximum Likelihood-type estimator (M-estimator), Monotone M-estimator (MM-estimator), and Scale estimator (S-estimator) to account for outliers. One hundred and one smallholder farmers in Osun state were randomly selected for the study. Analyses revealed that the major socioeconomic factors affecting farming household profit were access to credit, farm size, years spent in farmers’ associations, years of experience, and distance to the nearest market, which are the major determinants of net farm profit among the cassava-based farming households in the study area. On average, the return on investment (ROI) among cassava-based farming households was found to be ₦1.32 per naira invested. The research findings indicated that cassava cultivation is a profitable venture within the investigated area and recommended robust methodology for effectiveness and accurate information in future analysis.

Cogent Food & AgricultureVol. 11(1)
University of North Dakota (US), King Saud University (SA), University of Business and Technology (SA), University of Medical Sciences, Ondo, Obafemi Awolowo University (NG), University of Lincoln (GB), Olusegun Agagu University of Science and Technology (NG)
King Saud University
Openalex Percentile: Top 4%
Agricultural Economics and Practices
9.66
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