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A Bayesian network model to explore practice change by smallholder rice farmers in Lao PDR

Magnus Moglia, Kim Alexander (), Manithaythip Thephavanh, Phomma Thammavong, Viengkham Sodahak, Bountom Khounsy, Sysavanh Vorlasan, Silva Larson, John Connell and Peter Case

Agricultural Systems, 2018, vol. 164, issue C, 84-94

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 (search for similar items in EconPapers)
Date: 2018
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