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A meta-analysis of climate migration literature

  • The large literature that aims to find evidence of climate migration delivers mixed findings. This meta-regression analysis i) summarizes direct links between adverse climatic events and migration, ii) maps patterns of climate migration, and iii) explains the variation in outcomes. Using a set of limited dependent variable models, we meta-analyze thus-far the most comprehensive sample of 3,625 estimates from 116 original studies and produce novel insights on climate migration. We find that extremely high temperatures and drying conditions increase migration. We do not find a significant effect of sudden-onset events. Climate migration is most likely to emerge due to contemporaneous events, to originate in rural areas and to take place in middle-income countries, internally, to cities. The likelihood to become trapped in affected areas is higher for women and in low-income countries, particularly in Africa. We uniquely quantify how pitfalls typical for the broader empirical climate impact literature affect climate migration findings.The large literature that aims to find evidence of climate migration delivers mixed findings. This meta-regression analysis i) summarizes direct links between adverse climatic events and migration, ii) maps patterns of climate migration, and iii) explains the variation in outcomes. Using a set of limited dependent variable models, we meta-analyze thus-far the most comprehensive sample of 3,625 estimates from 116 original studies and produce novel insights on climate migration. We find that extremely high temperatures and drying conditions increase migration. We do not find a significant effect of sudden-onset events. Climate migration is most likely to emerge due to contemporaneous events, to originate in rural areas and to take place in middle-income countries, internally, to cities. The likelihood to become trapped in affected areas is higher for women and in low-income countries, particularly in Africa. We uniquely quantify how pitfalls typical for the broader empirical climate impact literature affect climate migration findings. We also find evidence of different publication biases.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Barbora ŠedováGND, Lucia Čizmaziová, Athene CookORCiD
URN:urn:nbn:de:kobv:517-opus4-499827
DOI:https://doi.org/10.25932/publishup-49982
ISSN:2628-653X
Titel des übergeordneten Werks (Englisch):CEPA Discussion Papers
Schriftenreihe (Bandnummer):CEPA Discussion Papers (29)
Publikationstyp:Arbeitspapier
Sprache:Englisch
Datum der Erstveröffentlichung:18.03.2021
Erscheinungsjahr:2021
Veröffentlichende Institution:Universität Potsdam
Datum der Freischaltung:18.03.2021
Freies Schlagwort / Tag:climate change; meta-analysis; migration
Ausgabe:29
Seitenanzahl:83
RVK - Regensburger Verbundklassifikation:QU 400, QV 230, MS 3600
Organisationseinheiten:Extern / Extern
Zentrale und wissenschaftliche Einrichtungen / Center for Economic Policy Analysis (CEPA)
DDC-Klassifikation:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
JEL-Klassifikation:F International Economics / F2 International Factor Movements and International Business / F22 International Migration
O Economic Development, Technological Change, and Growth / O1 Economic Development / O15 Human Resources; Human Development; Income Distribution; Migration
Q Agricultural and Natural Resource Economics; Environmental and Ecological Economics / Q5 Environmental Economics / Q54 Climate; Natural Disasters; Global Warming
Q Agricultural and Natural Resource Economics; Environmental and Ecological Economics / Q5 Environmental Economics / Q56 Environment and Development; Environment and Trade; Sustainability; Environmental Accounting; Environmental Equity; Population Growth
Peer Review:Nicht referiert
Publikationsweg:Open Access / Bronze Open-Access
Lizenz (Deutsch):License LogoKeine öffentliche Lizenz: Unter Urheberrechtsschutz
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