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 am...
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Taylor & Francis Group
2025-12-01
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Series: | Cogent Food & Agriculture |
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Online Access: | https://www.tandfonline.com/doi/10.1080/23311932.2024.2449577 |
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author | Ayodeji Ogunleye Adewale Lukman Hassan Ogunwemimo Victoria Tanimonure Emad Ismail Fuad Awwad Oluseyi Ajayi |
author_facet | Ayodeji Ogunleye Adewale Lukman Hassan Ogunwemimo Victoria Tanimonure Emad Ismail Fuad Awwad Oluseyi Ajayi |
author_sort | Ayodeji Ogunleye |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-4ccd05ce7c884e749c57b36c0c02ada4 |
institution | Kabale University |
issn | 2331-1932 |
language | English |
publishDate | 2025-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Cogent Food & Agriculture |
spelling | doaj-art-4ccd05ce7c884e749c57b36c0c02ada42025-01-10T07:33:28ZengTaylor & Francis GroupCogent Food & Agriculture2331-19322025-12-0111110.1080/23311932.2024.2449577Determinants of farm profit among cassava-based farming households in Osun State Nigeria: robust estimation approachAyodeji Ogunleye0Adewale Lukman1Hassan Ogunwemimo2Victoria Tanimonure3Emad Ismail4Fuad Awwad5Oluseyi Ajayi6Department of Agricultural Economics, Obafemi Awolowo University, Osun State, NigeriaDepartment of Mathematics and Statistics, University of North Dakota, Grand Forks, USACentre for Data Science and Health Metrics, University of Medical Sciences, Ondo, NigeriaDepartment of Agricultural Economics, Obafemi Awolowo University, Osun State, NigeriaDepartment of Quantitative Analysis, College of Business Administration, King Saud University, Riyadh, Saudi ArabiaDepartment of Quantitative Analysis, College of Business Administration, King Saud University, Riyadh, Saudi ArabiaNational Centre for Food Manufacturing (NCFM), University of Lincoln, Holbeach Campus, UKThe 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.https://www.tandfonline.com/doi/10.1080/23311932.2024.2449577Robust regressionordinary least square regressionhouseholdcassava farmersfarm profitAgriculture & Environmental Sciences |
spellingShingle | Ayodeji Ogunleye Adewale Lukman Hassan Ogunwemimo Victoria Tanimonure Emad Ismail Fuad Awwad Oluseyi Ajayi Determinants of farm profit among cassava-based farming households in Osun State Nigeria: robust estimation approach Cogent Food & Agriculture Robust regression ordinary least square regression household cassava farmers farm profit Agriculture & Environmental Sciences |
title | Determinants of farm profit among cassava-based farming households in Osun State Nigeria: robust estimation approach |
title_full | Determinants of farm profit among cassava-based farming households in Osun State Nigeria: robust estimation approach |
title_fullStr | Determinants of farm profit among cassava-based farming households in Osun State Nigeria: robust estimation approach |
title_full_unstemmed | Determinants of farm profit among cassava-based farming households in Osun State Nigeria: robust estimation approach |
title_short | Determinants of farm profit among cassava-based farming households in Osun State Nigeria: robust estimation approach |
title_sort | determinants of farm profit among cassava based farming households in osun state nigeria robust estimation approach |
topic | Robust regression ordinary least square regression household cassava farmers farm profit Agriculture & Environmental Sciences |
url | https://www.tandfonline.com/doi/10.1080/23311932.2024.2449577 |
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