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.

Highlights

  • The past decade has seen a steady increase in the number of quan­ titative empirical studies exploring how climatic and other environ­ mental drivers influence migration

  • This study provides a systematic methodological review of the quantitative climate migration literature and discusses how our under­ standing of the climate-migration nexus is influenced by methodological choices

  • Based on two recent meta-analyses, this paper systematically reviews methodological approaches used in the quantitative climate migration literature, outlines major challenges, and discusses possible solutions how to address them

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Summary

Introduction

The past decade has seen a steady increase in the number of quan­ titative empirical studies exploring how climatic and other environ­ mental drivers influence migration. In addition to the estimates of the relationships, detailed information about the used data sources (including both primary and secondary data), measurements, and analytical techniques were collected Both meta-analyses took peer-reviewed articles and grey literature (reports and working papers) into account (see supplement B for detailed information about procedures). We show how certain methodological choices can influence results and their interpretation based on some of the key findings from our meta-analyses Implications of these are dis­ cussed, where we highlight challenges typical for the analysis of the climate-migration relationship and how to overcome them. This text is Global Environmental Change 71 (2021) 102367 accompanied by supplementary materials providing an overview of the reviewed studies (A), the procedures employed in the meta-analyses (B), and common data sources used in the literature (C)

Diverse schools of thought
Measurement
Statistical designs and models
Common challenges and how to address them
Accurately measuring climate migration
Conceptualizing and representing climatic events and hazards
Data integration and aggregation
Modeling and the identification of causal effects
Exploring mechanisms and context effects
Advances in research and modeling
Data and measurement
Analytical methods and modeling
Findings
Conclusions
Full Text
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