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https://hdl.handle.net/2440/119826
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Type: | Journal article |
Title: | A Bayesian network model to explore practice change by smallholder rice farmers in Lao PDR |
Author: | Moglia, M. Alexander, K.S. Thephavanh, M. Thammavong, P. Sodahak, V. Khounsy, B. Vorlasan, S. Larson, S. Connell, J. Case, P. |
Citation: | Agricultural Systems, 2018; 164(C):84-94 |
Publisher: | Elsevier |
Issue Date: | 2018 |
ISSN: | 0308-521X 1873-2267 |
Statement of Responsibility: | RMagnus Moglia, Kim S. Alexander, Manithaythip Thephavanh, Phomma Thammavong, Viengkham Sodahak, Bountom Khounsy, Sysavanh Vorlasan, Silva Larson, John Connell, Peter Case |
Abstract: | A Bayesian Network model has been developed that synthesizes findings from concurrent multi-disciplinary research activities. The model describes the many factors that impact on the chances of a smallholder farmer adopting a proposed change to farming practices. The model, when applied to four different proposed technologies, generated insights into the factors that have the greatest influence on adoption rates. Behavioural motivations for change are highly dependent on farmers' individual viewpoints and are also technology dependent. The model provides a boundary object that provides an opportunity to engage experts and other stakeholders in discussions about their assessment of the technology adoption process, and the opportunities, barriers and constraints faced by smallholder farmers when considering whether to adopt a technology. |
Keywords: | Innovation diffusion Bayesian networks Small-holder farmers Rice agriculture Laos Lao PDR |
Rights: | © 2018 Published by Elsevier Ltd. All rights reserved. |
DOI: | 10.1016/j.agsy.2018.04.004 |
Published version: | http://dx.doi.org/10.1016/j.agsy.2018.04.004 |
Appears in Collections: | Agriculture, Food and Wine publications Aurora harvest 4 |
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