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

Year: 2025

Type: article

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.

Source: Migraciones Publicación del Instituto Universitario de Estudios sobre Migraciones

DOI: 10.14422/mig.2025.003

Authors: Shawon Talukdar, Umme Habiba

Institution: University of Dhaka

Language: English

Topic: Migration and Labor Dynamics

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: diamond

OpenAlex ID: W4407382547

FWCI: 1.773

Cites: 53

Cited by: 1

Related to: 10