Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/256897 
Year of Publication: 
2021
Citation: 
[Journal:] Outlook on Agriculture [ISSN:] 2043-6866 [Volume:] 51 [Issue:] 2 [Publisher:] SAGE [Place:] London [Year:] 2022 [Pages:] 187-196
Publisher: 
SAGE, London
Abstract: 
To determine whether a farmer’s accessibility predicts the delivery of extension services, this study used banana Xanthomonas wilt (BXW) disease-management advisory as a typical case with which to collect extension-delivery information from 690 farmers, distinguished by their respective accessibility. Cost–distance analysis was applied to define each farmer’s accessibility. The results revealed that a farmer’s accessibility does not predict extension delivery to that farmer in all forms of the examined extension parameters. Significant factors contributing to the delivery of extension services included BXW incidence and membership in Twigire Muhinzi groups. Given the results of this paper, I argue that the nature of the advisory and the type of farmers’ networks are more predictive factors than physical proximity. The findings of this study support the argument that the group-based extension approach is more effective; therefore, the Twigire Muhinzi initiative is recommended as a suitable model for delivering agricultural advisory services. The absence of a significant association between extension delivery and distance (accessibility) suggests that extension agents do not follow the first-reached, first-served rule but instead follow the problem-solving-based approach.
Subjects: 
cost-distance
proximity
innovation systems
agricultural extension
Twigire Muhinzi
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article
Document Version: 
Published Version

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