Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewedConventional

Does agricultural cooperative membership impact technical efficiency of maize production in Nigeria: An analysis correcting for biases from observed and unobserved attributes

Kehinde Oluseyi Olagunju; Adebayo Ogunniyi; Zainab Oyetunde‐Usman; Abiodun Olusola Omotayo; Bola Amoke Awotide

PLoS ONE · 2021

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Summary

This study uses nationally representative survey data from Nigerian smallholder maize producers to estimate the causal impact of agricultural cooperative membership on technical efficiency, employing advanced econometric methods to account for selection bias from both observed and unobserved farmer attributes. The analysis reveals that cooperative members achieve consistently higher technical efficiency than non-members, suggesting cooperatives may help farmers improve production performance. The findings support continued policy promotion of agricultural cooperatives as a development mechanism for smallholder farmers.

Regional applicability

Whilst this study is specific to Nigeria's context, the findings on cooperative membership and technical efficiency may have relevance to United Kingdom agricultural policy discussions around farmer groups and collective action, though UK farmers operate at a different scale and institutional context. The methodology for disentangling selection effects could inform future UK evaluations of agricultural support schemes.

Key measures

Technical efficiency (TE) scores; stochastic meta-frontier estimates; propensity score matching to control for selection bias from observable and unobservable characteristics

Outcomes reported

The study measured technical efficiency (TE) levels of smallholder maize producers and compared TE between agricultural cooperative members and non-members using a stochastic production frontier model. It found that cooperative members consistently achieved higher technical efficiency than non-members.

Theme
Policy, governance & rights
Subject
Food & agricultural policy
Study type
Research
Study design
Observational cohort with propensity score matching and instrumental variable methods (sample selection stochastic production frontier model)
Source type
Peer-reviewed study
Status
Published
Geography
Nigeria
System type
Arable cereals
DOI
10.1371/journal.pone.0245426
Catalogue ID
NRmu58s0es-00k

Topic tags

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