Would you like to leave Beijing, Shanghai, or Shenzhen? An empirical analysis of migration effect in China

: This study aims to estimate the migration effect of the overall samples and different flowing scales for the floating population from the perspective of personal wages. Although we used both the OLS and PSM methods to estimate the migration effect, we found that the PSM method was preferred in the study of migration as a result of the selection bias. The empirical results show that there is a significant difference in wage before and after migration. In fact, migration increased wages by 15.18% to 23.63% overall. Additionally, wages were increased by 44.96% to 59.20%, 23.06% to 26.18%, and 10.89% to 15.08% respectively for these three migration patterns: flowing into the three largest megacities, inter-provincial migration, and inter-city migration within a province, but for this pattern of inter-district migration within a city, the migration effect is not significant. We concluded that the floating population removing policies of the largest megacities maybe are effective because of the administrative power of their government. On the other hand, for these policies of non-largest megacities to attract labor and local employment and local urbanization near the floating population's place of origin, they were not effective enough as a result of the lack of significant migration effect in these cities.

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PID https://www.doi.org/10.1371/journal.pone.0202030
PID pmc:PMC6095530
PID pmid:30114254
URL http://europepmc.org/articles/PMC6095530
URL http://dx.plos.org/10.1371/journal.pone.0202030
URL https://dx.doi.org/10.1371/journal.pone.0202030
URL http://dx.doi.org/10.1371/journal.pone.0202030
URL http://europepmc.org/articles/PMC6095530?pdf=render
URL https://doaj.org/toc/1932-6203
URL https://ui.adsabs.harvard.edu/abs/2018PLoSO..1302030L/abstract
URL https://academic.microsoft.com/#/detail/2887509601
URL https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0202030&type=printable
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Access Right Open Access
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Author Tingting Liu, 0000-0002-8575-464X
Author Hong Feng
Author Elizabeth Brandon, 0000-0002-0028-5582
Contributor Fan, Maoyong
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Collected From Europe PubMed Central; PubMed Central; ORCID; Datacite; UnpayWall; DOAJ-Articles; Crossref; Microsoft Academic Graph
Hosted By Europe PubMed Central; PLoS ONE
Journal PLoS ONE, 13, 8
Publication Date 2018-08-16
Publisher Public Library of Science
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Language English
Resource Type Other literature type; Article; UNKNOWN
keyword Q
keyword R
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::0e34dad049c4a3235e516a09ca8105d7
Author jsonws_user
Last Updated 27 December 2020, 01:18 (CET)
Created 27 December 2020, 01:18 (CET)