Drivers of household food availability in sub-Saharan Africa based on big data from small farms
2016
Frelat, Romain | Lopez-Ridaura, Santiago | Giller, Ken E. | Herrero, Mario | Douxchamps, Sabine | Djurfeldt, Agnes Andersson | Erenstein, Olaf | Henderson, Ben | Kassie, Menale | Paul, Birthe K. | Rigolot, Cyrille | Ritzema, Randall S. | Rodriguez, Daniel | van Asten, Piet J. A. | van Wijk, Mark T. | International Livestock Research Institute [CGIAR, Nairobi] (ILRI) ; International Livestock Research Institute [CGIAR, Ethiopie] (ILRI) ; Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR) | International Maize and Wheat Improvement Center (CIMMYT) ; Consultative Group on International Agricultural Research [CGIAR] (CGIAR) | Plant Production Systems ; Wageningen University and Research [Wageningen] (WUR) | Agriculture Flagship ; Commonwealth Scientific and Industrial Research Organisation [Australia] (CSIRO) | Skane University Hospital [Lund] | International Center for Tropical Agriculture, CGIAR ; Partenaires INRAE | Mutations des activités des espaces et des formes d'organisation dans les territoires ruraux (UMR METAFORT) ; Institut National de la Recherche Agronomique (INRA)-AgroParisTech-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) | Queensland Alliance for Agriculture and Food Innovation (QAAFI) ; The University of Queensland (UQ [All campuses : Brisbane, Dutton Park Gatton, Herston, St Lucia and other locations]) | International Institute of Tropical Agriculture
International audience
Afficher plus [+] Moins [-]anglais. We calculated a simple indicator of food availability using data from 93 sites in 17 countries across contrasted agroecologies in sub-Saharan Africa (>13,000 farm households) and analyzed the drivers of variations in food availability. Crop production was the major source of energy, contributing 60% of food availability. The off-farm income contribution to food availability ranged from 12% for households without enough food available (18% of the total sample) to 27% for the 58% of households with sufficient food available. Using only three explanatory variables (household size, number of livestock, and land area), we were able to predict correctly the agricultural determined status of food availability for 72% of the households, but the relationships were strongly influenced by the degree of market access. Our analyses suggest that targeting poverty through improving market access and off-farm opportunities is a better strategy to increase food security than focusing on agricultural production and closing yield gaps. This calls for multisectoral policy harmonization, incentives, and diversification of employment sources rather than a singular focus on agricultural development. Recognizing and understanding diversity among smallholder farm households in sub-Saharan Africa is key for the design of policies that aim to improve food security.
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