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Linking climate change, environmental degradation, and migration: a methodological overview

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  • Etienne Piguet

Abstract

Empirical research focusing on the links between climate change, environmental degradation, and forced migration has risen significantly in recent years and uses an impressive variety of methods. The present article suggests a typology identifying six research method families: ecological inference based on area characteristics, individual sample surveys, time series, multilevel analysis, agent‐based modeling (ABM), and qualitative/ethnographic studies. The main technical features and empirical results of each family of methods are presented and critically discussed. We conclude by calling for a coordinated international effort to improve the quality and variety of data that could be used with existing research methods and significantly improve our understanding of the migration‐environment nexus. Copyright © 2010 John Wiley & Sons, Ltd. This article is categorized under: Vulnerability and Adaptation to Climate Change > Learning from Cases and Analogies

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  • Etienne Piguet, 2010. "Linking climate change, environmental degradation, and migration: a methodological overview," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 1(4), pages 517-524, July.
    • Handle: RePEc:wly:wirecc:v:1:y:2010:i:4:p:517-524
    DOI: 10.1002/wcc.54
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    1. Kees Geest & Maxine Burkett & Juno Fitzpatrick & Mark Stege & Brittany Wheeler, 2020. "Climate change, ecosystem services and migration in the Marshall Islands: are they related?," Climatic Change, Springer, vol. 161(1), pages 109-127, July.
    2. Micevska, Maja, 2021. "Revisiting forced migration: A machine learning perspective," European Journal of Political Economy, Elsevier, vol. 70(C).
    3. Els BEKEART & Ilse RUYSSEN & Sara SALOMONE, 2021. "Domestic and International Migration Intentions in Response to Environmental Stress: A Global Cross-country Analysis," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 87(3), pages 383-436, September.
    4. Declan Conway & Robert J. Nicholls & Sally Brown & Mark G. L. Tebboth & William Neil Adger & Bashir Ahmad & Hester Biemans & Florence Crick & Arthur F. Lutz & Ricardo Safra Campos & Mohammed Said & Ch, 2019. "The need for bottom-up assessments of climate risks and adaptation in climate-sensitive regions," Nature Climate Change, Nature, vol. 9(7), pages 503-511, July.
    5. Catalina Anampa Castro & Katherine Curtis & Jack DeWaard & Elizabeth Fussell & Kathryn McConnell & Kobie Price & Michael Soto & Stephan D. Whitaker, 2021. "Migration as a Vector of Economic Losses from Disaster-Affected Areas in the United States," Working Papers 21-22, Federal Reserve Bank of Cleveland.
    6. Coniglio, Nicola D. & Pesce, Giovanni, 2015. "Climate variability and international migration: an empirical analysis," Environment and Development Economics, Cambridge University Press, vol. 20(4), pages 434-468, August.
    7. Florence De Longueville & Pierre Ozer & François Gemenne & Sabine Henry & Ole Mertz & Jonas Ø. Nielsen, 2020. "Comparing climate change perceptions and meteorological data in rural West Africa to improve the understanding of household decisions to migrate," Climatic Change, Springer, vol. 160(1), pages 123-141, May.
    8. Dets Igor A., 2020. "Possible Impact of Global Warming and Other Factors Affecting Migration in Russia with Emphasis on Siberia," Quaestiones Geographicae, Sciendo, vol. 39(3), pages 111-123, September.
    9. Simone Bertoli & Frédéric Docquier & Hillel Rapoport & Ilse Ruyssen, 2022. "Weather shocks and migration intentions in Western Africa: insights from a multilevel analysis [Do climate variations explain bilateral migration? A gravity model analysis]," Journal of Economic Geography, Oxford University Press, vol. 22(2), pages 289-323.
    10. Trinh, Tra Thi & Munro, Alistair, 2023. "Integrating a choice experiment into an agent-based model to simulate climate-change induced migration: The case of the Mekong River Delta, Vietnam," Journal of choice modelling, Elsevier, vol. 48(C).
    11. Meri Davlasheridze & Qing Miao, 2021. "Does post-disaster aid promote community resilience? Evidence from federal disaster programs," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 63-88, October.
    12. Giovanni Bettini & Giovanna Gioli & Romain Felli, 2020. "Clouded skies: How digital technologies could reshape “Loss and Damage” from climate change," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.
    13. Tausch, Arno, 2012. "‚Getting Asylum Seekers into Employment‘? – Ein Allheilmittel für die Europäische Einwanderungspolitik? [‚Getting Asylum Seekers into Employment‘? – A panacea for European immigration policy?]," MPRA Paper 40759, University Library of Munich, Germany.
    14. Marc Helbling & Daniel Meierrieks, 2021. "How climate change leads to emigration: Conditional and long‐run effects," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2323-2349, November.
    15. Ursula Oswald Spring, 2022. "Climate-induced migrations in Mesoamerica with a gender perspective," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 17(4), pages 1-27, Octubre -.
    16. Ingrid Dallmann & Katrin Millock, 2016. "Climate Variability and Internal Migration: A Test on Indian Inter-State Migration," Post-Print halshs-00825807, HAL.
    17. Tebboth, M.G.L. & Conway, D. & Adger, W.N., 2019. "Mobility endowment and entitlements mediate resilience in rural livelihood systems," LSE Research Online Documents on Economics 100210, London School of Economics and Political Science, LSE Library.

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