MARATTO

article · Journal of the Science of Food and Agriculture

Exploring the effects, mechanisms, and heterogeneity of cluster agriculture on wheat production technical efficiency: evidence from <scp>Ethiopia</scp>

20251 citationOpen accessAmbo University

Abstract

BACKGROUND: The Ethiopian government has promoted cluster farming to improve market access, commercialization, and the adoption of technology. Evidence regarding its impact on the technical efficiency (TE) of wheat production, the mechanisms involved, and the heterogeneous nature of these effects is limited. This study examined how cluster farming affects wheat production TE, the mediating roles of yield per hectare, input access, and selling price, and the heterogeneity of these effects across locations, cluster groups, and the efficiency distribution. RESULTS: Survey data from 445 wheat farmers were analyzed. Technical efficiency was estimated using a translog stochastic frontier model and selection bias was addressed through an endogenous switching regression model, supported by robustness checks using a treatment effect model and propensity score matching. Mechanisms were assessed with a generalized structural equation model, and heterogeneity was examined using quantile regression. Cluster-farming participants achieved higher mean TE (0.842) than non-participants (0.738). The endogenous switching regression model indicated a positive causal effect (ATT = 0.255), which was consistent across estimation methods. Mediation analysis showed that cluster farming enhanced TE primarily through improved yield per hectare, better access to inputs, and higher farm-gate selling prices. CONCLUSION: The benefits of cluster farming can be heterogeneous, with effects being strongest among low-efficiency farmers and varying across districts and cluster groups. The aims of policy should be to expand cluster farming participation, strengthen the identified mechanisms of input supply chains, enhance knowledge transfer for yield improvement, and promote collective marketing. Interventions should also be tailored to specific districts while prioritizing low-efficiency farmers. © 2025 Society of Chemical Industry.

Research topics

  • Agricultural Innovations and Practices
  • Medical and Agricultural Research Studies
  • Local Economic Development and Planning

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1002/jsfa.70304

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.