Nepal: Systematic analysis of climate and world market shocks
cg.authorship.types | CGIAR single centre | en_US |
cg.contributor.affiliation | International Food Policy Research Institute | en_US |
cg.contributor.donor | CGIAR Trust Fund | en_US |
cg.contributor.donor | United States Agency for International Development | en_US |
cg.contributor.initiative | Foresight | en_US |
cg.coverage.country | Nepal | en_US |
cg.coverage.iso3166-alpha2 | NP | en_US |
cg.coverage.region | Asia | en_US |
cg.coverage.region | Southern Asia | en_US |
cg.creator.identifier | Askar Mukashov: 0000-0002-5171-7760 | en_US |
cg.creator.identifier | James Thurlow: 0000-0003-3414-374X | en_US |
cg.creator.identifier | Paul Dorosh: 0000-0001-6049-6018 | en_US |
cg.howPublished | Grey Literature | en_US |
cg.identifier.project | IFPRI - Feed the Future | en_US |
cg.identifier.project | IFPRI - Foresight and Policy Modeling Unit | en_US |
cg.identifier.project | IFPRI - Economywide Risk Assessment | en_US |
cg.identifier.publicationRank | Not ranked | en_US |
cg.number | 5 | en_US |
cg.place | Washington, DC | en_US |
cg.reviewStatus | Internal Review | en_US |
cg.subject.actionArea | Systems Transformation | en_US |
dc.contributor.author | Mukashov, Askar | en_US |
dc.contributor.author | Thurlow, James | en_US |
dc.contributor.author | Dorosh, Paul A. | en_US |
dc.contributor.author | Jones, Eleanor | en_US |
dc.date.accessioned | 2025-01-08T22:43:59Z | en_US |
dc.date.available | 2025-01-08T22:43:59Z | en_US |
dc.identifier.uri | https://hdl.handle.net/10568/168723 | en_US |
dc.title | Nepal: Systematic analysis of climate and world market shocks | en_US |
dcterms.abstract | This study explores Nepal’s vulnerability to economic and climatic shocks and identifies those contributing most to economic uncertainty. Our analysis is based on an empirically based estimation of the probability distribution of these shocks and a machine learning summary of several thousand simulations of their impacts using a Computable General Equilibrium (CGE) model for Nepal. In this way, we are able to quantify the contribution of each shock to the uncertainty of economic outcomes (gross domestic product [GDP], private consumption, poverty, and undernourishment). Our findings indicate that, given the very high import intensity of the economy, world market price and foreign exchange (FX) flow volatility have the largest impacts on household welfare (consumption, poverty and undernourishment). However, domestic yield volatility, especially cereal yield volatility, is the most important risk to Nepal’s GDP. However, Overall, these findings suggest that risk mitigation strategies, such as increasing average crop yields, adopting technologies and practices that narrow yield uncertainties, or diversifying production away from risky crops and sectors, can have major benefits for Nepal’s households and the overall economy. | en_US |
dcterms.accessRights | Open Access | en_US |
dcterms.audience | Development Practitioners | en_US |
dcterms.bibliographicCitation | Mukashov, Askar; Thurlow, James; Dorosh, Paul A.; and Jones, Eleanor. 2024. Nepal: Systematic analysis of climate and world market shocks. Economywide Risk Assessment Country Brief 5. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/168723 | en_US |
dcterms.extent | 15 p. | en_US |
dcterms.isPartOf | Economywide Risk Assessment Country Brief | en_US |
dcterms.issued | 2024-12-30 | en_US |
dcterms.language | en | en_US |
dcterms.license | CC-BY-4.0 | en_US |
dcterms.publisher | International Food Policy Research Institute | en_US |
dcterms.relation | https://hdl.handle.net/10568/168180 | en_US |
dcterms.relation | https://hdl.handle.net/10568/168167 | en_US |
dcterms.relation | https://hdl.handle.net/10568/168183 | en_US |
dcterms.relation | https://hdl.handle.net/10568/168174 | en_US |
dcterms.subject | risk assessment | en_US |
dcterms.subject | climate | en_US |
dcterms.subject | shock | en_US |
dcterms.subject | economic shock | en_US |
dcterms.subject | market prices | en_US |
dcterms.subject | computable general equilibrium models | en_US |
dcterms.subject | machine learning | en_US |
dcterms.subject | agriculture | en_US |
dcterms.subject | crop yield | en_US |
dcterms.type | Brief | en_US |