Selective Institutionalisation and Transnational Moral Economy in the Korea–Central Asia Migration Corridor

ABSTRACT This study examines migrant incorporation and informality in the Korea–Central Asia migration corridor, focusing on Kazakhstan, Uzbekistan, Kyrgyzstan and Tajikistan. Using 2024 administrative data from the Korean Immigration Service, it compares registration outcomes and visa composition across four sending countries with distinct institutional profiles. Rather than treating informality as policy failure, the study shows that the coexistence of formal incorporation and unregistered residence is a structured feature of migration governance. The findings are organised into an ideal‐type typology of corridor profiles—kinship‐driven, institutionalised hybrid, diversified emerging and new‐frontier informal—demonstrating how bilateral infrastructure, diaspora composition and origin‐state capacity interact with destination‐state policy to produce corridor‐specific configurations. Drawing on a transnational moral economy framework as an interpretive lens, the analysis highlights how responsibility for social reproduction is distributed across states, households and transnational networks. The typology is proposed as a transferable analytical framework for comparative corridor research, contributing to debates on selective institutionalisation, migrant precarity and the governance of managed labour mobility.

Authors

Institutions

Publication Details

Journal
International Migration
Published
2026-06-13
DOI
https://doi.org/10.1111/imig.70191
Primary Topic
Migration, Ethnicity, and Economy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Selective Institutionalisation and Transnational Moral Economy in the Korea–Central Asia Migration Corridor

Julia Jiwon Shin, Ikhtiyor Rasulov
International Migration
Migration, Ethnicity, and Economy
article

Selective Institutionalisation and Transnational Moral Economy in the Korea–Central Asia Migration Corridor

Julia Jiwon Shin, Ikhtiyor Rasulov
article en

Abstract

ABSTRACT This study examines migrant incorporation and informality in the Korea–Central Asia migration corridor, focusing on Kazakhstan, Uzbekistan, Kyrgyzstan and Tajikistan. Using 2024 administrative data from the Korean Immigration Service, it compares registration outcomes and visa composition across four sending countries with distinct institutional profiles. Rather than treating informality as policy failure, the study shows that the coexistence of formal incorporation and unregistered residence is a structured feature of migration governance. The findings are organised into an ideal‐type typology of corridor profiles—kinship‐driven, institutionalised hybrid, diversified emerging and new‐frontier informal—demonstrating how bilateral infrastructure, diaspora composition and origin‐state capacity interact with destination‐state policy to produce corridor‐specific configurations. Drawing on a transnational moral economy framework as an interpretive lens, the analysis highlights how responsibility for social reproduction is distributed across states, households and transnational networks. The typology is proposed as a transferable analytical framework for comparative corridor research, contributing to debates on selective institutionalisation, migrant precarity and the governance of managed labour mobility.

International MigrationVol. 64(4)
Chonnam National University (KR), Gwangju National University of Education (KR), Chonnam National University Hospital (KR)
Reduced inequalities
Openalex Percentile: Top 2%
Migration, Ethnicity, and Economy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.