Sustainable recommendation domains for scaling agricultural technologies in Tanzania

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dc.creatorMuthoni, Francis K.
dc.creatorGuo, Zhe
dc.creatorBekunda, Mateete A.
dc.creatorSseguya, Haroon
dc.creatorKizito, Fred
dc.creatorBaijukya, Frederick P.
dc.creatorHoeschle-Zeledon, Irmgard
dc.date2017-07
dc.date2017-05-09T20:06:55Z
dc.date2017-05-09T20:06:55Z
dc.date.accessioned2026-06-27T15:43:21Z
dc.descriptionLow 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.
dc.identifierhttps://hdl.handle.net/10568/80938
dc.identifier.urihttp://hdl.handle.net/123456789/112775
dc.languageen
dc.publisherElsevier
dc.rightsOpen Access
dc.sourceMuthoni, Francis K.; Guo, Zhe; Bekunda, Mateete; Sseguya, Haroon; Kizito, Fred; Baijukya, Frederick; Hoeschle-Zeledon, Irmgard. 2017. Sustainable recommendation domains for scaling agricultural technologies in Tanzania. Land Use Policy 66: 34-48.
dc.subjectspatial information
dc.subjectinformación espacial
dc.subjectgeographical information systems
dc.subjectsistemas de información geográfica
dc.subjectcluster sampling
dc.subjectintensification
dc.subjectecosystems
dc.subjectsustainable agriculture
dc.titleSustainable recommendation domains for scaling agricultural technologies in Tanzania
dc.typeJournal Article

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)