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A meta-analysis of the literature on climate change and migration

Published online by Cambridge University Press:  01 March 2021

Michel Beine*
Affiliation:
Department of Economics, University of Luxembourg, IZA, CREAM and CES-Ifo, Luxembourg, Luxembourg
Lionel Jeusette
Affiliation:
Department of Economics, University of Luxembourg, Luxembourg, Luxembourg
*
*Corresponding author. E-mail: michel.beine@uni.lu
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Abstract

Recent surveys of the literature on climate change and migration emphasize the important diversity of outcomes and approaches of the empirical studies. In this paper, we conduct a meta-analysis in order to investigate the role of the methodological choices of these empirical studies in finding some particular results concerning the role of climatic factors as drivers of human mobility. We code 51 papers representative of the literature in terms of methodological approaches. This results in the coding of more than 85 variables capturing the methodology of the main dimensions of the analysis at the regression level. These dimensions include authors' reputation, type of mobility, measures of mobility, type of data, context of the study, econometric methods, and last but not least measures of the climatic factors. We look at the influence of these characteristics on the probability of finding any effect of climate change, a displacement effect, an increase in immobility, and evidence in favor of a direct vs. an indirect effect. Our results highlight the role of some important methodological choices, such as the frequency of the data on mobility, the level of development, the measures of human mobility and of the climatic factors as well as the econometric methodology.

Type
Research Paper
Copyright
Copyright © Université catholique de Louvain 2021

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Footnotes

Preliminary versions of this paper have been presented at seminars taking place at the University of Hamburg (Germany), the University of Padova (Italy), the University of Gent (Belgium) as well at workshops and conferences taking place at the University of Stanford, at the ETH in Zurich (Switzerland) and AFD (Paris, France).

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