Uganda: Systematic analysis of world market and domestic production shocks

cg.authorship.typesCGIAR single centreen
cg.contributor.affiliationInternational Food Policy Research Instituteen
cg.contributor.donorGates Foundationen
cg.contributor.donorUnited Arab Emiratesen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.programAcceleratorPolicy Innovations
cg.coverage.countryUganda
cg.coverage.iso3166-alpha2UG
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.coverage.regionSub-Saharan Africa
cg.creator.identifierAskar Mukashov: 0000-0002-5171-7760en
cg.creator.identifierJames Thurlow: 0000-0003-3414-374Xen
cg.creator.identifierEleanor Jones: 0009-0005-6214-4071en
cg.identifier.projectIFPRI - Foresight and Policy Modeling Uniten
cg.identifier.projectIFPRI - Economywide Risk Assessmenten
cg.identifier.publicationRankNot rankeden
cg.number11en
cg.placeWashington, DCen
cg.reviewStatusInternal Reviewen
cg.subject.impactAreaPoverty reduction, livelihoods and jobs
dc.contributor.authorMukashov, Askaren
dc.contributor.authorJones, Eleanoren
dc.contributor.authorThurlow, Jamesen
dc.date.accessioned2025-04-11T17:30:38Zen
dc.date.available2025-04-11T17:30:38Zen
dc.identifier.urihttps://hdl.handle.net/10568/174150
dc.titleUganda: Systematic analysis of world market and domestic production shocksen
dcterms.abstractAchieving development goals is subject to economic uncertainties, yet policymaking rarely accounts for these risks. This Country Brief quantifies the risks facing Uganda’s economy and population, focusing on two primary sources: 1) External risks stemming from shocks in international commodity prices and foreign capital flows and 2) Domestic risks associated with production shocks in volatile sectors of the Uganda economy, such as primary agriculture and hydropower electricity generation, are often caused by extreme weather. The significance of these risks is assessed based on the range of the shocks’ impacts on four main economic and development indicators: total GDP, private consumption, poverty rate, and prevalence of undernourishment. The analysis uses data mining methods to simultaneously sample many shocks from historical data, con structing a comprehensive set of realistic shock scenarios for Uganda. A country-specific, economywide Computable General Equilibrium (CGE) model then simulates the impacts of these shocks on both total and sector-specific economic outcomes, deriving changes in poverty and undernourishment for each shock scenario. Finally, machine learning techniques are applied to obtain metrics for the relative im portance of different risk factors. The results suggest that domestic production volatility is the primary risk factor affecting GDP and poverty in Uganda, whereas world markets and domestic risks are equally important for household consumption and undernourishment. Individually, the most critical risk factors identified include production volatility in root crops, volatility in foreign capital flows, and volatility in fishery production, with the latter being particularly significant for rural low-income households. Understanding these economic risks is a critical first step in facilitating discussions on potential risk management strategies, such as promoting domestic productivity growth and diversifying economic activity away from high-risk sectors.en
dcterms.accessRightsOpen Access
dcterms.audienceCGIARen
dcterms.bibliographicCitationMukashov, Askar; Jones, Eleanor; and Thurlow, James. 2025. Uganda: Systematic analysis of world market and domestic production shocks. Economywide Risk Assessment Brief 11. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/174150en
dcterms.extent18 p.en
dcterms.isPartOfEconomywide Risk Assessmenten
dcterms.issued2025-04-11en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherInternational Food Policy Research Instituteen
dcterms.subjectmarketsen
dcterms.subjectdomestic productionen
dcterms.subjectshocken
dcterms.subjectrisk analysisen
dcterms.typeBrief

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