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Cited by 311

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The Acquisition and Diffusion of Knowledge: The Case of Pest Management Training in Farmer Field Schools, Indonesia

Feder, Gershon, Murgai, Rinku, Quizon, Jaime B.·2004·Journal of Agricultural Economics

Abstract

Farmer Field Schools (FFS) are an intensive training approach introduced in the last decade in many developing countries to promote knowledge and uptake of ecologically sensible production approaches, and in particular, integrated pest management which minimises pesticide use. Because of the high training cost, the viability of the program depends crucially on the effectiveness of knowledge diffusion from trained farmers to other farmers. This paper uses panel data from Indonesia to assess the extent of diffusion of knowledge regarding integrated pest management from trained farmers to other farmers. The results confirm that better knowledge leads indeed to reduced pesticide use, and that trained farmers make a modest gain in knowledge. However, there is no significant diffusion of knowledge to other farmers who reside in the same villages as the trained farmers. These results imply that revision in the training procedures and curriculum need to be considered if the FFS approach is to become viable and effective.

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Metadata

Authors
Feder, G., Murgai, R., & Quizon, J. B.
Venue
Journal of Agricultural Economics
Publisher
Wiley
Published
2004-07
Volume
55
Issue
2
Pages
221-243
ISSN
  • 0021-857X (ISSN-L)
  • 1477-9552
OpenAlex
W2056838300
Cited by
311
References
0
FWCI
50.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Acquisition and Diffusion of Knowledge: The Case of Pest Management Training in Farmer Field Schools, Indonesia. https://app.cochat.ai/papers/10.1111/j.1477-9552.2004.tb00094.x
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Feder, G., Murgai, R., & Quizon, J. B. (2004). The Acquisition and Diffusion of Knowledge: The Case of Pest Management Training in Farmer Field Schools, Indonesia. Journal of Agricultural Economics. https://doi.org/10.1111/j.1477-9552.2004.tb00094.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.