Achtung: hohPublica wurde am 18.11.2024 aktualisiert. Falls Sie auf Darstellungsfehler stoßen, löschen Sie bitte Ihren Browser-Cache (Strg + Umschalt + Entf). *** Attention: hohPublica was last updated on November 18, 2024. If you encounter display errors, please delete your browser cache (Ctrl + Shift + Del).
 

A new version of this entry is available:

Loading...
Thumbnail Image
ResearchPaper
2020

The retirement migration puzzle in China

Abstract (English)

We examine whether and how retirement affects migration decisions in China. Using a regression discontinuity (RD) design approach combined with a nationally representative sample of 228,855 adults aged between 40 and 75, we find that retirement increases the probability of migration by 12.9 percentage points. Approximately 38% of the total migration effects can be attributed to inter temporal substitution (delayed migration). Retirement-induced migrants are lower-educated and have restricted access to social security. Household-level migration decisions can reconcile different migration responses across gender. Retirees migrate for risk sharing and family protection mechnisms, reducing market production of their families in the receiving households.

File is subject to an embargo until

This is a correction to:

A correction to this entry is available:

This is a new version of:

Notes

Publication license

Publication series

Hohenheim discussion papers in business, economics and social sciences; 2020,03

Published in

Faculty
Faculty of Business, Economics and Social Sciences
Institute
Institute of Economics

Examination date

Supervisor

Edition / version

Citation

DOI

ISSN

ISBN

Language
English

Publisher

Publisher place

Classification (DDC)
330 Economics

Original object

Standardized keywords (GND)

Sustainable Development Goals

BibTeX

@techreport{Chen2020, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/6493}, author = {Chen, Simiao and Jin, Zhangfeng and Prettner, Klaus et al.}, title = {The retirement migration puzzle in China}, year = {2020}, school = {Universität Hohenheim}, series = {Hohenheim discussion papers in business, economics and social sciences}, }
Share this publication