Evidence map›Paper›PMID 41181348›Full record

ArticlePopulation and development review2024

Climatic Variability and Internal Migration in Asia: Evidence from Big Microdata.

Brian C Thiede, Abbie Robinson, Clark Gray

Abstract read
In one paragraph

Article in Population and development review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Brian C ThiedeDepartment of Agricultural Economics, Sociology, and Education and Population Research Institute, The Pennsylvania State University, University Park, PA 16802, USA.
Abbie RobinsonDepartment of Agricultural Economics, Sociology, and Education and Population Research Institute, The Pennsylvania State University, University Park, PA 16802, USA.
Clark GrayDepartment of Geography & Environment, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

Funding

The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Brian Thiede · 2016 to 2026
$9.0M
Training Program in Social Environments and Population HealthT32HD007514 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI JOHN D. ICELAND · 1999 to 2026
$5.1M
NICHD NIH HHS P2C HD041025NICHD NIH HHS T32 HD007514
6 · The paper itself

Abstract

The effects of climate change on human migration have received widespread attention, driven in part by concerns about potential large-scale population displacements. Recent studies demonstrate that climate-migration linkages are often complex, and climatic variability may increase, decrease, or have null effects on migration. However, the use of noncomparable analytic strategies across studies makes it difficult to disentangle substantive variation in climate effects across populations and places from methodological artifacts. We address this gap by using harmonized census and survey microdata from six Asian countries (n = 54,987,838) to measure climate effects on interprovincial migration, overall and among subpopulations defined by age, sex, education, and country of residence. We also evaluate whether climate effects differ according to the distance and type of move. Exposure to precipitation deficits leads to substantively large reductions in out-migration, and, surprisingly, these overall effects do not vary meaningfully by age, sex, or educational attainment. However, there are significant differences in the strength and direction of temperature and precipitation effects by country and within countries. Multinomial models show that precipitation deficits reduce internal migration to both adjacent and nonadjacent provinces. Finally, consistent with expectations that climate effects operate through economic mechanisms, spells of low precipitation reduce the probability of work-related moves in the countries where the reason for migration is measured. Our findings provide further evidence that adverse environmental conditions can reduce migration, underlining the need for policymakers to consider how to support both displaced and trapped populations.

Identifiers

PMID41181348
PMCPMC12574452

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.