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Improving the evidence base: A methodological review of the quantitative climate migration literature
Affiliation:1. International Institute for Applied Systems Analysis (IIASA), Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/OeAW, University of Vienna), Laxenburg, Austria;2. Vienna Institute of Demography/Austrian Academy of Sciences, Wittgenstein Centre for Demography and Global Human Capital (IIASA, VID/OeAW, University of Vienna), Vienna, Austria;3. Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany;4. Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany;5. German Council on Foreign Relations (DGAP), Berlin, Germany
Abstract:The question whether and how climatic factors influence human migration has gained both academic and public interest in the past years. Based on two meta-analyses, this paper systematically reviews the quantitative empirical literature on climate-related migration from a methodological perspective. In total, information from 127 original micro- and macro-level studies is analyzed to assess how different concepts, research designs, and analytical methods shape our understanding of climate migration. We provide an overview of common methodological approaches and present evidence on their potential implications for the estimation of climatic impacts. We identify five key challenges, which relate to the i) measurement of migration and ii) climatic events, iii) the integration and aggregation of data, iv) the identification of causal relationships, and v) the exploration of contextual influences and mechanisms. Advances in research and modelling are discussed together with best practice cases to provide guidance to researchers studying the climate-migration nexus. We recommend for future empirical studies to employ approaches that are of relevance for and reflect local contexts, ensuring high levels of comparability and transparency.
Keywords:Climate migration  Climate change  Systematic review  Meta-analysis  Methodology  Methods
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