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The Perils of Modelling How Migration Responds to Climate Change

Bo Feng, Mark Partridge and Mark Rembert

MPRA Paper from University Library of Munich, Germany

Abstract: The impact of climate change has drawn growing interests from both researchers and policymakers. Yet, relatively little is known with respect to its influence on interregional migration. The surge of extreme weather conditions could lead to the increase of forced migration from coastal to inland regions, which normally follows different patterns than voluntary migration. However, recent migration models tend to predict unrealistic migration trends under climate change in that migration would flow towards the areas most adversely affected. Given the great uncertainty about the magnitude and distribution of severe weather events, it is almost impossible to foresee migration directions by simply extrapolating from the data on how people have responded in the past to climate and weather. For example, weather events will likely be far outside of what has been observed. Other issues include a poor climate measures and a poor understanding of how climate affects migration in an entirely different structural environment. Unintended consequence of public policies also contributes to the complication of predicting future migration pattern. In this paper, we survey the limitations of existing climate change literature, explore insights of regional economic studies, and provide potential solutions to those issues.

Keywords: Climate Change; Migration; Prediction (search for similar items in EconPapers)
JEL-codes: C53 Q54 R23 (search for similar items in EconPapers)
Date: 2016-11-01
New Economics Papers: this item is included in nep-env and nep-mig
References: View references in EconPapers View complete reference list from CitEc
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https://mpra.ub.uni-muenchen.de/77059/1/MPRA_paper_77059.pdf original version (application/pdf)

Related works:
Chapter: The Perils of Modelling How Migration Responds to Climate Change (2018)
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