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An agent-based approach to QUICKly valuing the benefits of agricultural research and extension

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  • Ainsworth, Penelope
  • Bell, Kendon
  • Barker, Adam

Abstract

The complexity of farming and rural communities poses challenges to research and extension initiatives seeking industry-wide change. The effectiveness of these initiatives depends on factors ranging from individual psychology to the science of effects. Tools like intervention logic models, which visualise the causal chain of an intervention through to its impact, are useful for programme planning but are of limited usefulness for comparing the relative benefits of initiatives. Benefit-cost analysis can quantify relative benefits, but applications often oversimplify the causal chain and leave key impacts unquantified.

Suggested Citation

  • Ainsworth, Penelope & Bell, Kendon & Barker, Adam, 2024. "An agent-based approach to QUICKly valuing the benefits of agricultural research and extension," Agricultural Systems, Elsevier, vol. 216(C).
    • Handle: RePEc:eee:agisys:v:216:y:2024:i:c:s0308521x24000374
    DOI: 10.1016/j.agsy.2024.103887
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    References listed on IDEAS

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