ArticleRegional environmental change2022
Operationalizing and empirically identifying populations trapped in place by climate and environmental stressors in Mexico.
Article in Regional environmental change, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Trapped by climate change? (In)voluntary immobility in Bangladesh.Regional environmental change · 2025Article
- Rare and highly destructive wildfires drive human migration in the U.S.Nature communications · 2024Article
- Climatic Variability and Internal Migration in Asia: Evidence from Big Microdata.Population and development review · 2024Article
- Child Fostering in a Changing Climate: Evidence from Sub-Saharan Africa.Population and environment · 2023Article
- Migration as a Vector of Economic Losses From Disaster-Affected Areas in the United States.Demography · 2023Article
- Environmental Non-Migration: Framework, Methods, and Cases.Regional environmental change · 2023Article
Corrections and comments
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Authors and funding
6 authors.
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Abstract
In this paper, we propose a guiding operational definition and corresponding set of empirical steps to identify and study trapped populations. Trapped populations consist of actors who are highly vulnerable to climate and environmental stressors given limited resources (economic, social, etc.), which limit their ability to adapt to these stressors in-situ or by choosing to migrate. Informed by both insights and omissions from prior theoretical and empirical research, we propose a guiding operational definition of trapped populations that appreciates and incorporates actors' limited resources and their migration intentions against the backdrop of climate and environmental stressors. As it should, our operational definition points to a specific set of operations, or steps, which can be followed to empirically identify and study trapped populations. Using data from the Mexican Family Life Survey (MxFLS), we detail the steps permitting both retrospective and prospective identification of trapped populations. We conclude by discussing the strengths and weaknesses of our operational definition and empirical approach, as well as possible extensions.
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Registered trials
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