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article · PLoS ONE

Profit efficiency of smallholder dairy production systems: Empirical evidence from Northern Uganda

2026Open accessGulu University

In plain language

An assessment of 191 smallholder dairy farming households in Gulu District and Gulu City examined profit efficiency across zero-grazing, tethering, and herding production systems. Using a stochastic profit frontier model, the analysis established an overall mean profit efficiency score of 0.6121, indicating potential for significant financial improvement. Profit performance varied sharply by management practice. Zero-grazing achieved the highest efficiency score at 0.9886, compared to 0.5163 for herding and 0.3572 for tethering. Across all systems, equipment expenditure, formal education, market proximity, and the adoption of improved dairy breeds lowered inefficiency. Conversely, feed expenses reduced profitability across the aggregate sample and within zero-grazing systems, though feed spending correlated positively with returns in tethering. Land size aided profitability in tethering systems but reduced it in herding systems. Addressing feed management and boosting investments in productive dairy assets present direct pathways to raise household dairy earnings.

Key takeaways

  • Zero-grazing systems proved the most commercially efficient with a mean score of 0.9886, vastly outperforming herding and tethering.
  • Higher education levels, proximity to markets, and the use of improved livestock breeds significantly reduced operating inefficiencies.
  • Feed costs reduced profitability overall and within zero-grazing, highlighting feeding expenses as a primary operational challenge.
  • The overall mean profit efficiency of 0.6121 indicates smallholder farmers could raise profit efficiency by 26.14 percent to match top performers.

Why it matters

Dairy farming is a vital source of income for rural households, but operational inefficiencies often suppress potential earnings. Demonstrating that zero-grazing systems, improved breeds, and better market access dramatically increase profit margins provides clear targets for agricultural interventions. These findings help development organisations and agricultural extension services design targeted programmes that address feed management costs and asset investments to enhance smallholder livelihoods.

Commercialisation angle

This empirical research is applied and field-tested, offering operational benchmarks rather than a standalone technology product. The insights directly serve agricultural extension providers, dairy cooperatives, livestock feed suppliers, and microfinance institutions. The findings suggest immediate opportunities for commercial input providers to deliver cost-effective feed solutions and improved genetics to smallholders, whilst finance providers can design asset-financing products for farm equipment suited to intensive dairy models.

AI-generated from the published abstract. Always read the original work before citing.

Abstract

This study examined the profit efficiency of smallholder dairy farmers operating under different dairy production systems in Gulu District and Gulu City. Specifically, the study assessed the determinants of profit efficiency among farmers practicing zero-grazing, tethering, and herding dairy production systems. A cross-sectional survey design was employed using quantitative primary data collected from 191 smallholder dairy households selected through a multistage sampling technique. The stochastic profit frontier model based on the Cobb-Douglas functional specification was used to estimate profit efficiency and identify factors influencing inefficiency across the dairy production systems. The findings revealed considerable variation in profit efficiency determinants across the three dairy production systems. For the overall dairy production system, equipment costs positively influenced profit efficiency (β = 0.069, p < 0.05), while feed costs negatively affected profitability (β = -0.145, p < 0.01). Under the zero-grazing system, herd size significantly improved profit efficiency (β = 0.700, p < 0.01), whereas feed costs reduced profitability (β = -0.553, p < 0.01). Within the tethering system, land size (β = 0.343, p < 0.05) and feed costs (β = 0.235, p < 0.01) positively influenced profit efficiency. In contrast, under the herding system, land size negatively affected profit efficiency (β = -0.482, p < 0.01), while equipment costs positively influenced profitability (β = 0.313, p < 0.05). The inefficiency model showed that education level, improved breed types, and market proximity significantly reduced inefficiency across the overall dairy production systems. The estimated gamma value (γ = 0.93454, p < 0.001) indicated that about 93.45% of the variation in dairy profit performance was attributed to inefficiency effects. The overall mean profit efficiency score was 0.6121, implying that farmers could improve profit efficiency by 26.14% if they operated at the level of the most efficient farmers. Among the production systems, the zero-grazing system recorded the highest mean profit efficiency score (0.9886), followed by the herding system (0.5163), while the tethering system had the lowest efficiency score (0.3572). The study concludes that improving feed management, strengthening extension services, promoting farmer education, and increasing investment in productive dairy assets are essential for improving profit efficiency among smallholder dairy farmers.

Research topics

  • Efficiency Analysis Using DEA
  • Agricultural Innovations and Practices
  • Sustainable Agricultural Systems Analysis

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DOI: 10.1371/journal.pone.0333337

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