Putting migration in context: a review of how theory and methods shape climate-induced migration research findings DOI Creative Commons
Matthew D. Turner, Anika M. Rice, Emily M. Fornof

и другие.

Frontiers in Climate, Год журнала: 2025, Номер 7

Опубликована: Апрель 11, 2025

Widespread media reports that climate change is driving international migration have led to an upsurge in research seeking verify this phenomenon. In a methodological review of research, we identified close 3,000 studies referring climate-induced emigration from Mesoamerica and West Africa found only 102 empirically evaluate the causal link. We analyze inference implications these studies’ characteristics how are shaped by conceptual framing, data sources, region. Cluster analysis three groups based on framing–45 largely ignoring 33 fully engaging with context decisions vulnerabilities those exposed change, 24 between. Studies were also coded for they incorporated key features needed support claims. find framings, choice data, availability each study region strongly influence prevalence basic problems (e.g., mismatched spatial temporal scales, over-aggregation lumping destination types). A feature ‘decontextual’ over-reliance weather-migration correlation. These approaches neglect nexus surrounding migration, which involves many factors beyond attached weather but may co-vary certain instances. Such analyses prone spurious correlations fail address specifics who migrates face why.

Язык: Английский

Putting migration in context: a review of how theory and methods shape climate-induced migration research findings DOI Creative Commons
Matthew D. Turner, Anika M. Rice, Emily M. Fornof

и другие.

Frontiers in Climate, Год журнала: 2025, Номер 7

Опубликована: Апрель 11, 2025

Widespread media reports that climate change is driving international migration have led to an upsurge in research seeking verify this phenomenon. In a methodological review of research, we identified close 3,000 studies referring climate-induced emigration from Mesoamerica and West Africa found only 102 empirically evaluate the causal link. We analyze inference implications these studies’ characteristics how are shaped by conceptual framing, data sources, region. Cluster analysis three groups based on framing–45 largely ignoring 33 fully engaging with context decisions vulnerabilities those exposed change, 24 between. Studies were also coded for they incorporated key features needed support claims. find framings, choice data, availability each study region strongly influence prevalence basic problems (e.g., mismatched spatial temporal scales, over-aggregation lumping destination types). A feature ‘decontextual’ over-reliance weather-migration correlation. These approaches neglect nexus surrounding migration, which involves many factors beyond attached weather but may co-vary certain instances. Such analyses prone spurious correlations fail address specifics who migrates face why.

Язык: Английский

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