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  <identifier identifierType="DOI">10.7910/DVN/DVOY7B</identifier>
  <creators>
    <creator>
      <creatorName nameType="Organizational">International Food Policy Research Institute (IFPRI)</creatorName>
    </creator>
  </creators>
  <titles>
    <title>IMPACT Projections of Aggregate Food Production With and Without Climate Change: Extended Country-Level Results for 2022 GFPR Table 1A</title>
  </titles>
  <publisher>Harvard Dataverse</publisher>
  <publicationYear>2022</publicationYear>
  <subjects>
    <subject>Agricultural Sciences</subject>
    <subject>Earth and Environmental Sciences</subject>
    <subject>Social Sciences</subject>
    <subject schemeURI="http://aims.fao.org/aos/agrovoc/c_1374567058134" subjectScheme="AGROVOC">climate change</subject>
    <subject schemeURI="http://aims.fao.org/aos/agrovoc/c_540" subjectScheme="AGROVOC">hunger</subject>
    <subject schemeURI="http://aims.fao.org/aos/agrovoc/c_7848" subjectScheme="AGROVOC">trade</subject>
    <subject schemeURI="http://aims.fao.org/aos/agrovoc/c_3025" subjectScheme="AGROVOC">food production</subject>
    <subject schemeURI="http://aims.fao.org/aos/agrovoc/c_3016" subjectScheme="AGROVOC">food consumption</subject>
    <subject schemeURI="http://aims.fao.org/aos/agrovoc/c_1374567058134" subjectScheme="AGROVOC">Climate change</subject>
  </subjects>
  <contributors>
    <contributor contributorType="Producer">
      <contributorName nameType="Organizational">International Food Policy Research Institute (IFPRI)</contributorName>
    </contributor>
    <contributor contributorType="Distributor">
      <contributorName nameType="Organizational">International Food Policy Research Institute (IFPRI)</contributorName>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">IFPRI-Data</contributorName>
      <affiliation>International Food Policy Research Institute (IFPRI)</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2022</date>
    <date dateType="Created">2022</date>
    <date dateType="Submitted">2022-05-03</date>
    <date dateType="Available">2022-05-13</date>
    <date dateType="Updated">2022-05-13</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset">Aggregated Data</resourceType>
  <relatedIdentifiers>
    <relatedIdentifier relationType="IsSupplementTo" relatedIdentifierType="DOI">10.2499/9780896294257</relatedIdentifier>
  </relatedIdentifiers>
  <sizes>
    <size>7755</size>
    <size>985</size>
  </sizes>
  <formats>
    <format>text/tab-separated-values</format>
    <format>text/tab-separated-values</format>
  </formats>
  <version>1.1</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess"/>
    <rights rightsURI="https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/DVOY7B">Custom terms specific to this dataset</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios 
and assessing their outcomes can help inform policy choices. The International Food Policy Research Institute’s IMPACT model is an integrated system of linked economic, climate, water, and crop models that allows for the exploration of such scenarios.
&amp;lt;/p&amp;gt;The IMPACT model was used to evaluate impacts of climate 
change on aggregate food production, food consumption 
(kcal per person per day), net trade of major food commodity groups, and the population at risk of hunger. At IMPACT’s 
core is a partial equilibrium, multimarket economic model 
that simulates national and international agricultural markets. Links to climate, water, and crop models support the integrated study of changing environmental, biophysical, 
and socioeconomic trends, allowing for in-depth analysis of a variety of critical issues of interest to policymakers at national, regional, and global levels. IMPACT benefits 
from close interactions with scientists across CGIAR and 
other leading global economic modeling efforts around the 
world through the Agricultural Model Intercomparison and 
Improvement Project (AgMIP).
&amp;lt;/p&amp;gt;
This dataset summarizes results from the latest 
IMPACT projections to 2030 and 2050, for a scenario that 
includes the impacts of climate change and a “baseline” 
scenario that assumes no climate change (for comparison). These results update previous projections by showing 
aggregations to six regions: Central and West Asia and 
North Africa; Eastern and Southern Africa; Latin America 
and the Caribbean; South Asia; Southeast Asia; West and 
Central Africa; and the rest of the world.</description>
    <description descriptionType="SeriesInformation">Country Level Data</description>
  </descriptions>
  <geoLocations>
    <geoLocation/>
    <geoLocation>
      <geoLocationPlace>Washington, DC</geoLocationPlace>
    </geoLocation>
  </geoLocations>
  <fundingReferences>
    <fundingReference>
      <funderName>International Food Policy Research Institute (IFPRI)</funderName>
    </fundingReference>
  </fundingReferences>
</resource>
