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    Sustainable recommendation domains for scaling agricultural technologies in Tanzania

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    U17ArtMuthoniSustainableInthomNodev.pdf (2.020Mb)
    Date
    2017-07-01
    Author
    Muthoni, Francis K.
    Guo, Zhe
    Bekunda, Mateete A.
    Sseguya, Haroon
    Kizito, Fred
    Baijukya, Frederick P.
    Hoeschle-Zeledon, Irmgard
    Type
    Journal Article
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    Low adoption of sustainable intensification technologies hinders achievement of their potential impacts on increasing agricultural productivity. Proper targeting of locations to scale-out particular technologies is a key determinant of the rate of adoption. Targeting locations with similar biophysical and socio-economic characteristics significantly increases the probability of adoption. Areas with similar biophysical and socio-economic characteristics are referred to as recommendation domains (RDs). This study used geospatial analysis to delineate sustainable recommendation domains (SRDs) for scaling improved crop varieties and good agronomic practices in Tanzania. The study uses K-means clustering to identify relatively similar clusters from grid raster’s representing biophysical and socio-economic environments. Critical ecosystems are masked-out from the clusters to generate the SRDs. The potential impacts of scaling technologies in the generated SRDs were assessed and a spatial targeting index developed. Results identify 20 SRDs and the bio-socio-economic gradients that delineate them. This study proposes an Impact Based Spatial Targeting Index (IBSTI) as an objective tool for priority setting when scaling agricultural technologies. IBSTI identified priority areas within each SRD that should be targeted to maximize potential impacts of a scaling intervention. The data-driven clustering method is recommended for regions with limited technology trials. Results demonstrate the potential of geospatial tools in generating evidence-based policies on scaling of sustainable intensification technologies.
    http://dx.doi.org/10.1016/j.landusepol.2017.04.028
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/1854
    Non-IITA Authors ORCID
    Fred Kizitohttps://orcid.org/0000-0002-7488-2582
    Digital Object Identifier (DOI)
    http://dx.doi.org/10.1016/j.landusepol.2017.04.028
    Agrovoc Terms
    Spatial Information; Información Espacial; Geographical Information Systems; Sistemas De Información Geográfica
    Regions
    Africa; East Africa; Southern Africa
    Countries
    Tanzania
    Journals
    Land Use Policy
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    • Journal and Journal Articles5283
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