ArticleiScience2026
Socioeconomic impacts of climate-related migration: The case of Bangladesh.
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.
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.
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.
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0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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