Papua New Guinea: Systematic analysis of domestic production and world market shocks

cg.authorship.typesCGIAR single centreen
cg.contributor.affiliationInternational Food Policy Research Instituteen
cg.contributor.donorDepartment for Foreign Affairs and Trade, Australiaen
cg.contributor.donorAustralian Centre for International Agricultural Researchen
cg.contributor.initiativeClimate Resilienceen
cg.contributor.initiativeNational Policies and Strategiesen
cg.coverage.countryPapua New Guineaen
cg.coverage.iso3166-alpha2PGen
cg.coverage.regionOceaniaen
cg.creator.identifierAskar Mukashov: 0000-0002-5171-7760en
cg.creator.identifierPaul Dorosh: 0000-0001-6049-6018en
cg.creator.identifierEmily Schmidt: 0000-0003-0109-7687en
cg.creator.identifierJames Thurlow: 0000-0003-3414-374Xen
cg.howPublishedGrey Literatureen
cg.identifier.projectIFPRI - Foresight and Policy Modeling Uniten
cg.identifier.projectIFPRI - Papua New Guinea Strategy Support Programen
cg.identifier.publicationRankNot rankeden
cg.number18en
cg.placeWashington, DCen
cg.reviewStatusInternal Reviewen
cg.subject.actionAreaSystems Transformationen
cg.subject.impactAreaClimate adaptation and mitigationen
cg.subject.impactAreaNutrition, health and food securityen
dc.contributor.authorMukashov, Askaren
dc.contributor.authorDorosh, Paul A.en
dc.contributor.authorSchmidt, Emilyen
dc.contributor.authorThurlow, Jamesen
dc.date.accessioned2025-03-17T15:47:31Zen
dc.date.available2025-03-17T15:47:31Zen
dc.identifier.urihttps://hdl.handle.net/10568/173653
dc.titlePapua New Guinea: Systematic analysis of domestic production and world market shocksen
dcterms.abstractUsing an economy-wide, multi-sectoral model, this study explores potential vulnerability of Papua New Guinea (PNG) to economic shocks and identifies factors that contribute most to economic uncertainty. Economic scenarios were developed using historical data on volatile domestic sectors (e.g., primary agriculture and hydropower electricity generation) and world prices of goods and services in which PNG trades. The Computable General Equilibrium (CGE) model of PNG was used to simulate a range of potential economic outcomes under these scenarios. In addition, data mining and machine learning methods were applied to quantify the contribution of each shock to the uncertainty of economic outcomes. Key findings suggest that Papua New Guinea’s economy is predominantly exposed to external risks, with world prices and foreign capital volatility together accounting for approximately two-thirds of the potential variation in GDP and three-fourths of the potential variation in private consumption, poverty, and undernourishment (domestic production volatility contributes the remaining one-third and one-fourth, respectively). The current structure of the PNG economy underpins these results. While agriculture is the most uncertain sector, it is relatively less important compared to the overall economy; export earnings from energy and metals, as well as volatile foreign exchange capital inflows, play a much more significant role in the country’s current economic risks. Understanding how potential shocks might impact various segments of the PNG economy and population is a critical first step in facilitating discussions on relevant risk mitigation strategies, such as increasing sectoral productivity or diversifying production away from high-risk sectors.en
dcterms.accessRightsOpen Accessen
dcterms.audienceScientistsen
dcterms.bibliographicCitationMukashov, Askar; Dorosh, Paul A.; Schmidt, Emily; and Thurlow, James. 2025. Papua New Guinea: Systematic analysis of domestic production and world market shocks. Papua New Guinea Project Note 18. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/173653en
dcterms.extent15 p.en
dcterms.isPartOfPapua New Guinea Project Noteen
dcterms.issued2025-03en
dcterms.languageenen
dcterms.licenseCC-BY-4.0en
dcterms.publisherInternational Food Policy Research Instituteen
dcterms.subjectcomputable general equilibrium modelsen
dcterms.subjectdomestic productionen
dcterms.subjectmachine learningen
dcterms.subjectshocken
dcterms.subjectvulnerabilityen
dcterms.subjectworld marketsen
dcterms.typeBriefen

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