Estimating local agricultural gross domestic product (AgGDP) across the world

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cg.authorship.typesCGIAR single centre
cg.contributor.affiliationCornell University
cg.contributor.affiliationWorld Bank
cg.contributor.affiliationInternational Food Policy Research Institute
cg.contributor.donorWorld Bank
cg.creator.identifierUlrike Wood-Sichra: 0000-0002-0546-2074
cg.creator.identifierTimothy Thomas: 0000-0002-7951-8157
cg.creator.identifierLiangzhi You: 0000-0001-7930-8814
cg.identifier.dataurlhttps://doi.org/10.57966/0j71-8d56en
cg.identifier.doihttps://doi.org/10.5194/essd-15-1357-2023
cg.identifier.projectIFPRI - Environment and Production Technology Division
cg.identifier.projectIFPRI - Foresight and Policy Modeling Unit
cg.identifier.projectIFPRI - Systems Transformation - Transformation Strategies
cg.identifier.publicationRankC
cg.isijournalISI Journal
cg.issn1866-3508
cg.issue3
cg.journalEarth System Science Data
cg.reviewStatusPeer Review
cg.volume15
dc.contributor.authorRu, Yating
dc.contributor.authorBlankespoor, Brian
dc.contributor.authorWood-Sichra, Ulrike
dc.contributor.authorThomas, Timothy S.
dc.contributor.authorYou, Liangzhi
dc.contributor.authorKalvelagen, Erwin
dc.date.accessioned2024-03-14T12:09:17Zen
dc.date.available2024-03-14T12:09:17Zen
dc.identifier.urihttps://hdl.handle.net/10568/140307
dc.titleEstimating local agricultural gross domestic product (AgGDP) across the worlden
dcterms.abstractEconomic statistics are frequently produced at an administrative level such as the sub-national division. However, these measures may lack sufficient local variation in the economic activities to analyze local economic development patterns and the exposure to natural hazards. Agriculture GDP is a critical indicator for measurement of the primary sector, on which more than 2.5 billion people depend on their livelihoods that provide a key source of income for the entire household (FAO, 2021). Through a data fusion method based on cross-entropy optimization, this paper disaggregates national and subnational administrative statistics of Agricultural GDP into a global gridded dataset at approximately 10 x 10 kilometers using satellite-derived indicators of the components that make up agricultural GDP, namely crop, livestock, fishery, hunting and timber production. The paper estimates the exposure of areas with at least one extreme drought during 2000 to 2009 to agricultural GDP is an estimated US$432 billion of agricultural GDP circa 2010, where nearly 1.2 billion people live. The data are available on the World Bank Development Data Hub (DOI: http://doi.org/10.57966/0j71-8d56; IFPRI and World Bank, 2022).en
dcterms.accessRightsOpen Access
dcterms.available2023-03-24
dcterms.bibliographicCitationRu, Yating; Blankespoor, Brian; Wood-Sichra, Ulrike; Thomas, Timothy S.; You, Liangzhi; and Kalvelagen, Erwin. 2023. Estimating local agricultural gross domestic product (AgGDP) across the world. Earth System Science Data 15(3): 1357–1387. https://doi.org/10.5194/essd-15-1357-2023en
dcterms.extentpp. 1357-1387
dcterms.issued2023-03-24
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherCopernicus Publications
dcterms.replaceshttps://ebrary.ifpri.org/digital/collection/p15738coll5/id/8438
dcterms.subjectincomeen
dcterms.subjectdata fusionen
dcterms.subjectdevelopmenten
dcterms.subjecthouseholdsen
dcterms.subjectcropsen
dcterms.subjectforestsen
dcterms.subjectpopulationen
dcterms.subjectagricultureen
dcterms.subjecteconomicsen
dcterms.subjecteconomic activitiesen
dcterms.subjectdroughten
dcterms.subjectlivelihoodsen
dcterms.subjectlivestocken
dcterms.subjectgross national producten
dcterms.subjectfisheriesen
dcterms.subjecthuntingen
dcterms.subjectstatisticsen
dcterms.typeJournal Article

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