Assessment of the economic efficiency of dry-season onion production in Adamawa State, Nigeria

Dry season onion farming is central to food supply and rural income in Adamawa State, Nigeria, yet production is limited by inefficiencies. This study assessed the technical, allocative, and economic efficiency of farmers using a stochastic frontier production and cost model. A total of 240 producers were selected through multistage sampling, and structured questionnaires provided the data. Analysis employed Maximum Likelihood Estimation. Results showed that farm size (0.451, p<0.01), seed (0.226, p<0.01), labor (0.1176, p<0.01), and fertilizer (0.102, p<0.05) were the most significant drivers of output. Mean efficiency scores were 0.83 for technical, 0.81 for allocative, and 0.67 for economic performance. Gamma values of 0.88 and 0.91 indicated that inefficiencies explained most variations in output and cost. Farmers achieved strong technical performance but faced persistent allocative and economic constraints. Targeted investment in irrigation, stronger extension services, improved access to credit, and cooperative strengthening are recommended to improve cost-effective resource use and productivity.

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Publication Details

Journal
Turkish Journal of Food and Agriculture Sciences
Published
2026-04-26
DOI
https://doi.org/10.53663/turjfas.1786928
Primary Topic
Agricultural Practices and Plant Genetics
Type
article
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article

Assessment of the economic efficiency of dry-season onion production in Adamawa State, Nigeria

Dengle Yuniyus Giroh, Amurtiya Michael, David Chinda Maurice, Pwano Jauro
Turkish Journal of Food and Agriculture Sciences
Agricultural Practices and Plant Genetics
article

Assessment of the economic efficiency of dry-season onion production in Adamawa State, Nigeria

Dengle Yuniyus Giroh, Amurtiya Michael, David Chinda Maurice, Pwano Jauro
article en

Abstract

Dry season onion farming is central to food supply and rural income in Adamawa State, Nigeria, yet production is limited by inefficiencies. This study assessed the technical, allocative, and economic efficiency of farmers using a stochastic frontier production and cost model. A total of 240 producers were selected through multistage sampling, and structured questionnaires provided the data. Analysis employed Maximum Likelihood Estimation. Results showed that farm size (0.451, p<0.01), seed (0.226, p<0.01), labor (0.1176, p<0.01), and fertilizer (0.102, p<0.05) were the most significant drivers of output. Mean efficiency scores were 0.83 for technical, 0.81 for allocative, and 0.67 for economic performance. Gamma values of 0.88 and 0.91 indicated that inefficiencies explained most variations in output and cost. Farmers achieved strong technical performance but faced persistent allocative and economic constraints. Targeted investment in irrigation, stronger extension services, improved access to credit, and cooperative strengthening are recommended to improve cost-effective resource use and productivity.

Turkish Journal of Food and Agriculture SciencesVol. 8(1)
Modibbo Adama University of Technology (NG)
Openalex Percentile: Top 7%
Agricultural Practices and Plant Genetics
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