The impact of left-behind experience on urban identity of new-generation migrant workers
Fu Linlin, Yihe Chen, Shile Fang, Xinnan Xu, Wenli Kong, Ziqi Liu
TL;DR
This study shows that being left behind by parents negatively affects the urban identity of young migrant workers in China.
Contribution
The paper identifies specific mechanisms through which left-behind experiences affect urban identity in migrant workers.
Findings
Left-behind experiences significantly undermine urban identity in new-generation migrant workers.
Parental absence has the strongest negative impact on urban identity.
Poor health, frequent migration, job search challenges, and social network dependence explain the negative effects.
Abstract
We investigate the impact of left-behind experiences on the urban identity of new-generation migrant workers using data from the 2017 China Migrants Dynamic Survey. The results show the following: (1) The left-behind experience is an important factor undermining the urban identity of new-generation migrant workers, and the conclusion remains consistent after robustness checks, such as propensity score matching. (2) Left-behind experiences of both parents away from home had the most significant negative impact on urban identity. (3) The results of the mechanism tests indicate that the left-behind experience exerts an adverse impact on urban identity through the pathways of poorer physical health, more frequent migration, more challenging job search, and stronger dependence on preexisting social networks. The findings of this study also offer policy suggestions for promoting the urban…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle Detector Development and Performance · Dark Matter and Cosmic Phenomena · Neutrino Physics Research