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Gender and generational differences in first outward- and first inward-moves

An event-history analysis of rural migrants in China

Bibliographic Data

ID4142192
AuthorsChen (0009-0003-9584-6905), Chen Chen (0000-0002-9786-8003, Shanghai University, corresponding author), C Cindy Fan (0000-0001-8377-9344, UCLA, USA)
Year2018
Volume50
Issue8
Pages1646-1669
Publication date2018-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0308518x18782709
OpenAlexW2809130772
LanguageEN
Citations received14
References cited58

Focusing on the onset of circularity, this paper examines the first outward-moves and first inward-moves of rural-urban migrants in China. Using event-history analysis, we investigate the impacts of time-varying individual and household characteristics on the mobility of 787 rural workers from six villages in Anhui Province, based on a longitudinal study of 150 households for the period 1980 to 2009. The findings show that the probability of initiating the first outward-move and first inward-move is affected by age, gender, education, decade, and life-cycle and household-arrangement factors such as the location of dependent children, spouse, and elderly parents. New-generation migrants are more likely to move outward and spend longer time outside the home location than their predecessors. Gender differences persist; women continue to be less likely to move outward and more likely to return, and their mobility patterns are much more sensitive to caregiving needs than men. These results suggest that migrants' circularity will persist and that China's urbanization policy should consider multi-locality as a central component of migration

China · Demographic economics · Economic growth · Economics · Geography · Locality · Political science · Rural area · Socioeconomics · Sociology · Spouse · Urbanization · Climate Change, Adaptation, Migration · Demography · Migration and Labor Dynamics · Urban Transport and Accessibility

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Unique citing works14
Citations per year2,33
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 13

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