Who are leaving metropolitan areas in the post-COVID-19 era: An analysis of urban residents’ migration decisions in Japan

The three-year-long COVID-19 pandemic has reshaped people’s work activities and daily lives. Who are leaving metropolitan areas (MAs) in this context? This paper utilizes Japanese government survey data and binary logit models for analysis. Our results unveil that the migration involved in leaving MAs is associated with lower infection risks in destination prefectures, but not with regional unemployment rates or individuals’ telework utilization frequencies. Factors influencing migration intention differ distinctly from those driving migration action . These findings can guide local governments in developing effective population-attracting policies.

Authors

Institutions

Publication Details

Journal
Asian and Pacific migration journal
Published
2024-12-01
DOI
https://doi.org/10.1177/01171968251315958
Citations
1
Primary Topic
Migration and Labor Dynamics
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Who are leaving metropolitan areas in the post-COVID-19 era: An analysis of urban residents’ migration decisions in Japan

Erbiao Dai, Xue Bing Peng
1 citations
Asian and Pacific migration journal
Migration and Labor Dynamics
1.13
article

Who are leaving metropolitan areas in the post-COVID-19 era: An analysis of urban residents’ migration decisions in Japan

Erbiao Dai, Xue Bing Peng
article en
1 citations

Abstract

The three-year-long COVID-19 pandemic has reshaped people’s work activities and daily lives. Who are leaving metropolitan areas (MAs) in this context? This paper utilizes Japanese government survey data and binary logit models for analysis. Our results unveil that the migration involved in leaving MAs is associated with lower infection risks in destination prefectures, but not with regional unemployment rates or individuals’ telework utilization frequencies. Factors influencing migration intention differ distinctly from those driving migration action . These findings can guide local governments in developing effective population-attracting policies.

Asian and Pacific migration journalVol. 33(4)
Asian Growth Research Institute (JP)
Openalex Percentile: Top 13%
Migration and Labor Dynamics
1.13
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.