Digital extension, price risk, and farm performance: experimental evidence from Nigeria

dc.creatorOyakhilomen Oyinbo
dc.creatorChamberlin, J.
dc.creatorAbdoulaye, T.
dc.creatorMaertens, M.
dc.date2023-04-11T20:30:12Z
dc.date2023-04-11T20:30:12Z
dc.date2022
dc.date.accessioned2023-07-17T20:10:31Z
dc.date.available2023-07-17T20:10:31Z
dc.identifierhttps://hdl.handle.net/10883/22567
dc.identifier10.1111/ajae.12242
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7514310
dc.descriptionDespite decades of investment in agricultural extension, technology adoption among farmers and agricultural productivity growth in Sub-Saharan Africa remain slow. Among other shortcomings, extension systems often make recommendations that do not account for price risk or spatial heterogeneity in farmers' growing conditions. However, little is known about the effectiveness of extension approaches for nutrient management that consider these issues. We analyze the impact of farmers' access to site-specific nutrient management recommendations and to information on expected returns, provided through a digital decision support tool, for maize production. We implement a randomized controlled trial among smallholders in the maize belt of northern Nigeria. We use three waves of annual panel data to estimate immediate and longer term effects of two different extension treatments: site-specific recommendations with and without complementary information about variability in output prices and expected returns. We find that site-specific nutrient management recommendations improve fertilizer management practices and maize yields but do not necessarily increase fertilizer use. In addition, we find that recommendations that are accompanied by additional information about variability in expected returns induce larger fertilizer investments that persist beyond the first year. However, the magnitudes of these effects are small: we find only incremental increases in investments and net revenues over two treatment years.
dc.description831-852
dc.languageEnglish
dc.publisherWiley
dc.relationhttps://onlinelibrary.wiley.com/doi/10.1111/ajae.12242#support-information-section
dc.relationPoverty reduction, livelihoods & jobs
dc.relationNutrition, health & food security
dc.relationExcellence in Agronomy
dc.relationResilient Agrifood Systems
dc.relationBill & Melinda Gates Foundation
dc.relationhttps://hdl.handle.net/10568/114227
dc.rightsCIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
dc.rightsOpen Access
dc.source2
dc.source104
dc.source1467-8276
dc.sourceAmerican Journal of Agricultural Economics
dc.subjectAGRICULTURAL SCIENCES AND BIOTECHNOLOGY
dc.subjectAgricultural Decision Support Tools
dc.subjectDigital Agronomy
dc.subjectPrice Uncertainty
dc.subjectSite-Specific Nutrient Management
dc.subjectADVISORY SERVICES
dc.subjectAGRICULTURAL PRODUCTIVITY
dc.subjectDIGITAL AGRICULTURE
dc.subjectEXTENSION
dc.subjectFERTILIZERS
dc.subjectPRICES
dc.subjectNUTRIENT MANAGEMENT
dc.subjectSustainable Agrifood Systems
dc.titleDigital extension, price risk, and farm performance: experimental evidence from Nigeria
dc.typeArticle
dc.typePublished Version
dc.coverageNigeria
dc.coverageUSA


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