Evidence map›Paper›PMID 41907440›Full record

ArticleiScience2026

Socioeconomic impacts of climate-related migration: The case of Bangladesh.

Marina Sánchez-Serrano, Jorge Zafrilla, Guadalupe Arce, Ángela García-Alaminos

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Marina Sánchez-SerranoFaculty of Economics and Business, University of Castilla-La Mancha, Albacete, Spain.
Jorge ZafrillaFaculty of Economics and Business, University of Castilla-La Mancha, Albacete, Spain.
Guadalupe ArceHigher Technical School of Agronomy and Forestry Engineering and Biotechnology, University of Castilla-La Mancha, Albacete, Spain.
Ángela García-AlaminosFaculty of Economics and Business, University of Castilla-La Mancha, Albacete, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change poses a substantial threat to the development trajectories of emerging economies. Bangladesh is an illustrative case study, as its economy has recently been directly impacted by increasingly frequent extreme weather events, such as floods, cyclones, and droughts. Ranked as the seventh most climate-vulnerable nation globally, Bangladesh faces significant displacement risks, potentially affecting one in seven citizens, particularly low-skilled workers in rural and coastal regions. These disruptions jeopardize key sectors such as agriculture, fisheries, and livestock, undermining future economic performance. This article proposes the application of Miyazawa's extended input-output model to quantify the direct, indirect, and induced value-added and employment impacts under migration scenarios induced by slow-onset climate events. Simulations incorporating rural-urban household heterogeneity reveal that rural migration could reduce national value-added by 4.37%, with sectoral variation. Employment losses are estimated at 4.59%, with agriculture, wholesale trade, manufacturing, and construction experiencing declines between 4% and 5%, highlighting sectoral vulnerability and interdependence.

Indexed as

Applied sciencesEnvironmental scienceSocial sciences

Identifiers

PMID41907440
PMCPMC13022638

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.