Smallholder farm size distribution across sub-Saharan Africa

Simple item page
cg.authorship.typesCGIAR single centreen
cg.contributor.affiliationInternational Maize and Wheat Improvement Centeren
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeMixed Farming Systems
cg.coverage.regionSub-Saharan Africa
cg.coverage.regionAfrica
cg.creator.identifierJordan Chamberlin: 0000-0001-9522-3001
cg.creator.identifierJoão Vasco Silva: 0000-0002-3019-5895
cg.howPublishedGrey Literatureen
cg.reviewStatusInternal Reviewen
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactAreaEnvironmental health and biodiversity
cg.subject.sdgSDG 1 - No povertyen
cg.subject.sdgSDG 2 - Zero hungeren
dc.contributor.authorHougni, Deo-Gratiasen
dc.contributor.authorSilva, Joao Vascoen
dc.contributor.authorChamberlin, Jordanen
dc.date.accessioned2024-11-15T19:04:37Zen
dc.date.available2024-11-15T19:04:37Zen
dc.identifier.urihttps://hdl.handle.net/10568/159853
dc.titleSmallholder farm size distribution across sub-Saharan Africaen
dcterms.abstractFarm size is a key asset to smallholder farmers, strongly correlated to other farm resources. Understanding farm size distribution is therefore important to target and scale up interventions whose adoptability is intricately linked to farm resource endowment. Although, heterogeneity in farm sizes is recognised across Sub-Saharan Africa (SSA), there is a longstanding challenge to describe and characterize it. A panel of household surveys run across 14 countries between 2008 and 2021 was used to evaluate the capacity of selected biophysical and socioeconomic features to infer and predict spatial farm size distribution. The features include, but are not limited to population density, long-term annual air temperature and rainfall, travel time to the nearest city. The unit of spatial analysis was a grid cell of about 10 km x 10 km. Using a random-forest model, the complete set of features was able to explain 50% of the variation in average farm sizes across the continent. The relative importance of individual features was country-specific. These results highlight the spatial clustering of average farm sizes, the adequacy of fitting locally farm sizes to log-normal distribution, and the multiplicity of farm size drivers across the continent.en
dcterms.accessRightsOpen Access
dcterms.audienceScientistsen
dcterms.bibliographicCitationHougni, D.G.J.M., Silva, J.V., Chamberlin, J. (2024). Smallholder farm size distribution across sub-Saharan Africa. CGIAR research initiative on Mixed Farming Systems (MFS). International Maize and Wheat Improvement Center. Harare, Zimbabween
dcterms.extent14 p.en
dcterms.issued2024-10
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherInternational Maize and Wheat Improvement Centeren
dcterms.subjectfarming systemsen
dcterms.subjectfarm areaen
dcterms.subjectfarm sizeen
dcterms.subjectsustainable intensificationen
dcterms.subjectsmallholdersen
dcterms.typeReport

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
2024-10-23.farm_size_across_SSA_SIMFS_report.pdf
Size:
1.09 MB
Format:
Adobe Portable Document Format
Description:
Report
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

CGIAR Initiative on Mixed Farming Systems