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Unpacking the multidimensional nature of farmer resilience: a latent-variable assessment of the role of education

Research output: Contribution to conferencePaperpeer-review

Abstract

Building resilient farm systems requires understanding how different behavioural and adaptive capacities shape farmers’ ability to cope with and respond to shocks. This study develops and validates a multidimensional framework of farm-level resilience and examines the extent to which formal education, both general and agricultural, strengthens these capacities. Using survey data from 480 farmers, we estimate a structural equation model (SEM) capturing four latent resilience dimensions: robustness, adaptability, transformability, and perceived
behavioural control (PBC), and their combined influence on a forward-looking resilience trajectory. Reliability tests and item diagnostics identified and removed weak indicators, resulting in a well-fitting measurement model. Results from the structural model show that adaptability is the only dimension that has a statistically significant positive effect on farmers’ perceived resilience trajectory, highlighting its central role in shaping future-oriented resilience. Regression analyses using SEM-derived factor scores indicate that agricultural education, rather than general education, is consistently associated with higher adaptability,
transformability, and PBC, as well as a stronger overall resilience trajectory. These findings emphasise the importance of discipline-specific agricultural training in building resilience and support policies that expand access to higher-level vocational agricultural education.
Original languageEnglish
Publication statusAccepted - 31 Dec 2025
EventAgricultural Economics Society Annual Conference - The University of Oxford, Oxford, United Kingdom
Duration: 23 Mar 202625 Mar 2026
https://aes.ac.uk/page.asp?ID=3

Conference

ConferenceAgricultural Economics Society Annual Conference
Country/TerritoryUnited Kingdom
CityOxford
Period23/03/202625/03/2026
Internet address

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