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    A Bayesian method to support global out-scaling of water-efficient rice technologies from pilot project areas

    Access Status
    Fulltext not available
    Authors
    Rubiano M, J.
    Cook, Simon
    Rajasekharan, M.
    Douthwaite, B.
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Rubiano M, J. and Cook, S. and Rajasekharan, M. and Douthwaite, B. 2016. A Bayesian method to support global out-scaling of water-efficient rice technologies from pilot project areas. Water International. 41 (2): pp. 290-307.
    Source Title
    Water International
    DOI
    10.1080/02508060.2016.1138215
    ISSN
    0250-8060
    School
    School of Molecular and Life Sciences (MLS)
    URI
    http://hdl.handle.net/20.500.11937/72129
    Collection
    • Curtin Research Publications
    Abstract

    © 2016 International Water Resources Association. This article present a Bayesian probabilistic method to support out-scaling of technologies from pilot projects. The method is applied to aerobic rice, a water-saving technology with probable global potential. The method assumes that areas similar to pilot sites are more likely to adopt than those that are different or unfavourable. Similarity is defined from climate, landscape and socio-economic attributes. Favourability is further evaluated by project specialists. Scaling out is not a simple linear process, so the method is proposed as a complement to learning processes. Results can support prioritization and strategic planning over specific geographic areas.

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