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Bean irrigated production (mt) (2000)

Spatially disaggregated production statistics of circa 2000 using the Spatial Production Allocation Model (SPAM). Values are for 5 arc-minute grid cells. (aggregation type: SUM)

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Bean irrigated area harvested (ha) (2000)

Spatially disaggregated production statistics of circa 2000 using the Spatial Production Allocation Model (SPAM). Values are for 5 arc-minute grid cells. (aggregation type: SUM)

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Bean rainfed yield (kg/ha) (2000)

Spatially disaggregated production statistics of circa 2000 using the Spatial Production Allocation Model (SPAM). Values are for 5 arc-minute grid cells. (aggregation type: WGHTD)

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Bean rainfed production (mt) (2000)

Spatially disaggregated production statistics of circa 2000 using the Spatial Production Allocation Model (SPAM). Values are for 5 arc-minute grid cells. (aggregation type: SUM)

Download: 

Bean rainfed area harvested (ha) (2000)

Spatially disaggregated production statistics of circa 2000 using the Spatial Production Allocation Model (SPAM). Values are for 5 arc-minute grid cells. (aggregation type: SUM)

Yield Target and Poverty Reduction Model for South Asia

Yield Target and Poverty Reduction Model for South Asia

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).

Yield Target and Poverty Reduction Model for Sub-Saharan Africa

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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