Spatial analysis of soil fertility management using integrated household and GIS data from smallholder Kenyan farms

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cg.contributor.affiliationInternational Livestock Research Instituteen_US
cg.contributor.donorDepartment for International Development, United Kingdomen_US
cg.coverage.countryKenyaen_US
cg.coverage.iso3166-alpha2KEen_US
cg.coverage.regionAfricaen_US
cg.coverage.regionEastern Africaen_US
cg.creator.identifierSteven Staal: 0000-0002-1244-1773en_US
cg.creator.identifierIsabelle Baltenweck: 0000-0002-4147-5921en_US
cg.subject.ilriSOILSen_US
cg.subject.ilriGEODATAen_US
dc.contributor.authorStaal, Steven J.en_US
dc.contributor.authorRomney, Dannie L.en_US
dc.contributor.authorBaltenweck, Isabelleen_US
dc.contributor.authorWaithaka, M.M.en_US
dc.contributor.authorMuriuki, H.en_US
dc.contributor.authorNjoroge, L.en_US
dc.date.accessioned2010-06-14T11:54:05Zen_US
dc.date.available2010-06-14T11:54:05Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/1930en_US
dc.titleSpatial analysis of soil fertility management using integrated household and GIS data from smallholder Kenyan farmsen_US
dcterms.abstractAlthough soil fertility is recognized as a primary constraint to agricultural production in developing countries, use of fertilizer in Sub-Saharan Africa is declining. Smallholder farmers still rely heavily on livestock manure for soil fertility management. To explore the determinants of soil fertility management practices, including both the use of cattle manure and inorganic fertilizer, data are used from a sample of 3,330 geo-referenced farm households across Central and Western Kenya. A bivariate probit model is applied to jointly examine the use of the two technologies. Particular attention is given to measures of location related to market access and agroclimate, which in the adoption literature have typically been addressed using crude proxies. To avoid such proxies, GIS-derived variables are integrated into the household decision model. Their use also allows the spatial prediction of uptake based on parameter estimates. The results show clearly the derived-demand nature of soil fertility services, based on markets for farm outputs. They also illustrate that supply of manure for soil fertility amendments is conditioned by demand for livestock products, especially milk. The integration of GIS-derived variables is shown to better estimate the effects of location than the usual measures employed, and offers scope to wider use in technology adoption research.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationStaal, S.J.; Romney, D.; Baltenweck, I.; Waithaka, M.; Muriuki, H.; Njoroge, L. 2003. Spatial analysis of soil fertility management using integrated household and GIS data from smallholder Kenyan farms. Paper presented at the 25th International Conference of IAAE, Durban, South Africa. Nairobi (Kenya): ILRIen_US
dcterms.issued2003-08en_US
dcterms.languageenen_US
dcterms.licenseOtheren_US
dcterms.publisherInternational Livestock Research Instituteen_US
dcterms.subjectsoil fertilityen_US
dcterms.subjectgeographical information systemsen_US
dcterms.subjectsmall farmsen_US
dcterms.typeConference Paperen_US

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