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  A meta-analysis of country-level studies on environmental change and migration

Hoffmann, R., Dimitrova, A., Muttarak, R., Crespo Cuaresma, J., Peisker, J. (2020): A meta-analysis of country-level studies on environmental change and migration. - Nature Climate Change, 10, 10, 904-912.
https://doi.org/10.1038/s41558-020-0898-6

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 Creators:
Hoffmann, Roman1, Author              
Dimitrova, Anna2, Author
Muttarak, Raya2, Author
Crespo Cuaresma, Jesus2, Author
Peisker, Jonas2, Author
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

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 Abstract: The impact of climate change on migration has gained both academic and public interest in recent years. Here we employ a meta-analysis approach to synthesize the evidence from 30 country-level studies that estimate the effect of slow- and rapid-onset events on migration worldwide. Most studies find that environmental hazards affect migration, although with contextual variation. Migration is primarily internal or to low- and middle-income countries. The strongest relationship is found in studies with a large share of countries outside the Organisation for Economic Co-operation and Development, particularly from Latin America and the Caribbean and sub-Saharan Africa, and in studies of middle-income and agriculturally dependent countries. Income and conflict moderate and partly explain the relationship between environmental change and migration. Combining our estimates for differential migration responses with the observed environmental change in these countries in recent decades illustrates how the meta-analytic results can provide useful insights for the identification of potential hotspots of environmental migration.

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 Dates: 2020-09-012020-09-142020
 Publication Status: Finally published
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41558-020-0898-6
PIKDOMAIN: FutureLab - Social Metabolism and Impacts
MDB-ID: yes - 3040
Organisational keyword: FutureLab - Social Metabolism and Impacts
Research topic keyword: Adaptation
Research topic keyword: Economics
Research topic keyword: Extremes
Research topic keyword: Climate impacts
Research topic keyword: Sustainable Development
Regional keyword: Global
Model / method: Open Source Software
Model / method: Nonlinear Data Analysis
 Degree: -

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Title: Nature Climate Change
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 10 (10) Sequence Number: - Start / End Page: 904 - 912 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/140414
Publisher: Springer Nature