From Education to Family Networks: Analyzing Demographic and Socio-Economic Drivers of Migration Intentions in Bangladesh Under the NELM Framework

This study examines the impact of demographic and socioeconomic factors on migration intentions in Bangladesh within the New Economic Theory of Migration (NELM) framework. Using logistic regression and cluster analysis on convenience survey data, findings show that higher education (OR = 1.45, p < 0.01) and higher income (OR = 1.20, p < 0.05) significantly increase migration intentions. Having family members who migrated also elevates intentions (OR = 1.60, p < 0.01). Interaction effects reveal distinct patterns among younger-educated individuals (p < 0.05). Cluster analysis identifies younger, lower-income, and educated individuals as most likely to migrate, highlighting NELM’s policy relevance.

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Publication Details

Journal
Migraciones Publicación del Instituto Universitario de Estudios sobre Migraciones
Published
2025-02-10
DOI
https://doi.org/10.14422/mig.2025.003
Citations
1
Primary Topic
Migration and Labor Dynamics
Type
article
Field-Weighted Citation Impact
4.20
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article

From Education to Family Networks: Analyzing Demographic and Socio-Economic Drivers of Migration Intentions in Bangladesh Under the NELM Framework

Umme Habiba, Shawon Talukdar
1 citations
Migraciones Publicación del Instituto Universitario de Estudios sobre Migraciones
Migration and Labor Dynamics
4.20
article

From Education to Family Networks: Analyzing Demographic and Socio-Economic Drivers of Migration Intentions in Bangladesh Under the NELM Framework

Umme Habiba, Shawon Talukdar
article en
1 citations

Abstract

This study examines the impact of demographic and socioeconomic factors on migration intentions in Bangladesh within the New Economic Theory of Migration (NELM) framework. Using logistic regression and cluster analysis on convenience survey data, findings show that higher education (OR = 1.45, p < 0.01) and higher income (OR = 1.20, p < 0.05) significantly increase migration intentions. Having family members who migrated also elevates intentions (OR = 1.60, p < 0.01). Interaction effects reveal distinct patterns among younger-educated individuals (p < 0.05). Cluster analysis identifies younger, lower-income, and educated individuals as most likely to migrate, highlighting NELM’s policy relevance.

Migraciones Publicación del Instituto Universitario de Estudios sobre Migraciones(63)
University of Dhaka (BD)
Openalex Percentile: Top 10%
Migration and Labor Dynamics
4.20
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