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Geospatial Targeting - Mozambique

Geospatial Targeting - Mozambique

Tool Type: Interactive data query
Publication Date: December, 2013

Every technology comes with a suite of requirements dictating where it performs best (e.g., temperature, rainfall, elevation, slope, market accessibility, and linkage to other socioeconomic factors such as household income, gender, and education). By overlaying grid-based geospatial data layers, this tool helps users select refined areas in the target country/region that meet the user-defined criteria and thus have more potential for scalable impact.

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TABLR

Tabulate HarvestChoice Indicators: TABLR

Tool Type: Interactive data query
Publication Date: May, 2013

HarvestChoice Tablr is an interactive data query tool similar to FAOSTAT and to the World Bank on-line table-generators. Tablr provides direct access to over 300 biophysical and socio-economic indicators for sub-Saharan Africa categorized by theme.

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MAPPR

Visualize HarvestChoice Indicators: MAPPR

Tool Type: Interactive map query
Publication Date: February, 2012

MAPPR provides easy access to over 300 layers of spatially-explicit data for sub-Saharan Africa. Use MAPPR to “drill through” and extract information from fine-resolution data layers (each layer holds ~300,000 10km x 10km grid cells covering the sub-Saharan African region).

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Domain Reporter

Tool Type: Interactive data query
Publication Date: January, 2012

Browse and download HarvestChoice spatial data layers for sub-Saharan Africa. Statistics are shown for all countries and level-1 administrative units.

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Region Dashboard

Tool Type: Interactive data query
Publication Date: January, 2011

HarvestChoice region dashboard provides a one-page view of national time-series and sub-national statistics for 52 countries in sub-Saharan Africa.

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Yield Target and Poverty Reduction Model for South Asia

Yield Target and Poverty Reduction Model for South Asia

Tool Type: Model
Publication Date: January, 2011

Comparative static model used to estimate long-term aggregate potential yield gains and aggregate potential poverty reduction effects from narrowing yield gaps for selected commodities in selected regions. The model allows for differentiated yield gap closure and technology adoption scenarios in focus and non-focus countries and for focus and non-focus crops. The model also accounts for varying "poverty-productivity" elasticities across commodities (a synthetic measure linking productivity gains and poverty reduction).

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Yield Target and Poverty Reduction Model for Sub-Saharan Africa

Tool Type: Model
Publication Date: January, 2011

This comparative static model estimates potential yield increases and poverty reduction effects based on user-selected yield closure gap assumptions. A poverty-productivity elasticity (extracted from the relevant literature) and crop-specific adjustments are used to link productivity gains to a lowering of poverty prevalence rates and poverty headcounts compounded over a 20 year period.

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