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1 Kemp-Benedict, E.; Bharwani, S.; de la Rosa, E.; Krittasudthacheewa, C.; Matin, N.. 2009. Assessing water-related poverty using the sustainable livelihoods framework. Stockholm, Sweden: Stockholm Environment Institute (SEI). 25p.
(Location: IWMI HQ Call no: e-copy only Record No: H042970)
http://r4d.dfid.gov.uk/PDF/Outputs/WaterfoodCP/BayesLH_WP_100114.pdf
https://vlibrary.iwmi.org/pdf/H042970.pdf
https://vlibrary.iwmi.org/pdf/H042970.pdf
(1.40 MB) (1.40 MB)
Local circumstances and adaptations affect water-related interventions and livelihood outcomes. This local variation is crucial for developing resilient livelihood strategies, but also creates significant analytical challenges to assessing the likely impacts of water-related interventions. This report presents an approach using a probabilistic, ‘fuzzy’ model of the links between water and livelihoods that takes these fundamental uncertainties into account. The model is grounded in the Sustainable Livelihoods framework, and is implemented as a Bayesian network. The approach is applied to data from a previous study in Northeast Thailand, and the research was supplemented by field visits and key informant interviews at farms, communities, and universities in Northeast Thailand. This report presents a conceptual framework for analysing water-related interventions on poverty, an elicitation approach, and an example application. Also, it presents three innovations that resulted from the project: a novel way to represent institutions within the Sustainable Livelihood framework, a Bayesian approach to representing indicators as indirect evidence of a quantity of interest, and an elicitation technique for the conditional probability tables within a Bayesian network model.
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