File Download
Supplementary
-
Citations:
- Appears in Collections:
postgraduate thesis: How social networks and provincial crime rates are related to the employment stability of migrant population in China
Title | How social networks and provincial crime rates are related to the employment stability of migrant population in China |
---|---|
Authors | |
Issue Date | 2022 |
Publisher | The University of Hong Kong (Pokfulam, Hong Kong) |
Citation | Yao, J. [姚金辛]. (2022). How social networks and provincial crime rates are related to the employment stability of migrant population in China. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. |
Abstract | Based on the “Dynamic Monitoring of Migrant Population” data collected in 2016 by the National Health and Family Planning Commission of China, this study employs the probit model and the propensity score method to examine the impact of social networks on the employment stability of migrant populations and the moderating effect of regional crime. The findings indicate that social networks have a significant negative effect on the employment stability of the migrant population, whereas regional crime significantly moderates the effect of social networks on the employment stability of this population. The study also determined that social networks have a significant negative effect on the migrant population's employment stability with urban and rural household registration; this negative effect was higher for the high human capital migrant population than for the low one, and the negative effect of social networks on the employment stability of the migrant population was found to decrease with age.
|
Degree | Master of Social Sciences |
Subject | Internal migrants - China |
Dept/Program | Criminology |
Persistent Identifier | http://hdl.handle.net/10722/320096 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yao, Jinxin | - |
dc.contributor.author | 姚金辛 | - |
dc.date.accessioned | 2022-10-20T11:54:52Z | - |
dc.date.available | 2022-10-20T11:54:52Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Yao, J. [姚金辛]. (2022). How social networks and provincial crime rates are related to the employment stability of migrant population in China. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. | - |
dc.identifier.uri | http://hdl.handle.net/10722/320096 | - |
dc.description.abstract | Based on the “Dynamic Monitoring of Migrant Population” data collected in 2016 by the National Health and Family Planning Commission of China, this study employs the probit model and the propensity score method to examine the impact of social networks on the employment stability of migrant populations and the moderating effect of regional crime. The findings indicate that social networks have a significant negative effect on the employment stability of the migrant population, whereas regional crime significantly moderates the effect of social networks on the employment stability of this population. The study also determined that social networks have a significant negative effect on the migrant population's employment stability with urban and rural household registration; this negative effect was higher for the high human capital migrant population than for the low one, and the negative effect of social networks on the employment stability of the migrant population was found to decrease with age. | - |
dc.language | eng | - |
dc.publisher | The University of Hong Kong (Pokfulam, Hong Kong) | - |
dc.relation.ispartof | HKU Theses Online (HKUTO) | - |
dc.rights | The author retains all proprietary rights, (such as patent rights) and the right to use in future works. | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject.lcsh | Internal migrants - China | - |
dc.title | How social networks and provincial crime rates are related to the employment stability of migrant population in China | - |
dc.type | PG_Thesis | - |
dc.description.thesisname | Master of Social Sciences | - |
dc.description.thesislevel | Master | - |
dc.description.thesisdiscipline | Criminology | - |
dc.description.nature | published_or_final_version | - |
dc.date.hkucongregation | 2022 | - |
dc.identifier.mmsid | 991044598299503414 | - |