2018
DOI: 10.1007/s12126-018-9336-8
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Return Migration in Later Life in Mainland China: Motivations, Patterns, and Influences

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Cited by 5 publications
(4 citation statements)
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“…Non-agricultural work experience and experiences of residence in urban areas are used to identify return migration in empirical studies (Liu et al, 2020). This study uses work and residence history as two key explanatory variables.…”
Section: Methodsmentioning
confidence: 99%
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“…Non-agricultural work experience and experiences of residence in urban areas are used to identify return migration in empirical studies (Liu et al, 2020). This study uses work and residence history as two key explanatory variables.…”
Section: Methodsmentioning
confidence: 99%
“…Non-agricultural work experience and experiences of residence in urban areas are used to identify return migration in empirical studies (Liu et al, 2020) Residence history includes three categories: (1) Respondents who have lived in the same rural village over their life course; (2) Respondents who have moved between villages and (3) Respondents who had lived in urban areas and have returned to rural areas by the time of interview in 2013. This variable was constructed using information on respondents' place of birth and changes in place of residence since birth from the life history survey.…”
Section: Explanatory Variablesmentioning
confidence: 99%
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“…A concurrent rise in intra-national retirement migration has been observed in different countries, such as the Hong Kong-Pearl River Detla region in China (Cao, 2020) and within France (Christel, 2006). Furthermore, empirical studies on the flow of migration demonstrate that older migrants tend to relocate away from the city centre, with recent examples from China (Liu et al, 2020), United States (Jurjevich and Plane, 2009) and Germany (Schaffar et al, 2019). Upon ageing, the change in life course that subsequently alters the desired outcomes of migration has prompted different reasons (not to) migrate, which is undergoing intensive debates.…”
Section: Cross-border Ageing By Older Migrants In the Digital Agementioning
confidence: 99%