Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices.
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Increasing the efficiency of agricultural production—getting more output from the same amount of resources—is critical for improving food security. To measure the efficiency of agricultural systems, we use total factor productivity (TFP).
Increasing the efficiency of agricultural production—getting more output from the same amount of resources—is critical for improving food security. To measure the efficiency of agricultural systems, we use total factor productivity (TFP).
Policymakers recognize that increased investment in agricultural research is key to increasing agricultural productivity.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices.
Increasing the efficiency of agricultural production—getting more output from the same amount of resources—is critical for improving food security. To measure the efficiency of agricultural systems, we use total factor productivity (TFP).
This dataset was created by re-compiling available open, gender/sex-disaggregated Feed the Future data for Ghana and applying standard processing methods to enhance their accessibility and interoperability.
Policy makers recognize that increased investment in agricultural research is key to increasing agricultural productivity.
As part of an IFPRI-led study, raw and partially processed secondary data have been harmonized and analyzed to examine the ex-ante effects of different legume and fertilizer practices on cropping systems indicators for maize-based smallholder farm
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.
This dataset was compiled by processing and harmonizing multiple secondary datasets, covering Nigeria and three states in India (Bihar, Odisha, and Uttar Pradesh), to help those working in the agricultural development sector identify and character
It is crucial to stress that poverty distribution are not referred to 2011, but they are referred to the survey year, although they represent poverty headcount measured at an international comparative level, i.e.
Yield gap of nine priority commodities of the African Development Bank was assessed and aggregated at two levels across the Africa continent:
Yield growth rate (%) of major crop commodities in CGIAR CRP II priority countries were computed using the FAOSTAT-retrieved national crop production statistics data for five most recent years (2009-2013 in most countries; where available, 2014 da