Proceedings of the 3rd International Conference on Advances in Management Science and Engineering (IC-AMSE 2020)

Research on Unemployment Status and Influencing Factors of Floating Population in China

Authors
Chunyan Lin, Yingchao Tian
Corresponding Author
Yingchao Tian
Available Online 6 April 2020.
DOI
https://doi.org/10.2991/aebmr.k.200402.041How to use a DOI?
Keywords
floating population, unemployment, influencing factors, logistic
Abstract
As an important source of urban labor force in China, the floating population and its influencing factors are inextricably linked with China’s industrial transformation and upgrading. This paper made an empirical analysis of the floating population unemployment status and influencing factors by using contingency table analysis and Logistic model method based on the data of Dynamic monitoring and survey on health and family planning of the floating population nationwide in 2017. The results show that Gender, Age, Education Level, Marital Status and Type Of Registered Place, Registered Permanent Residence, In-flow Area and Flow Range, Reasons Of Flow and Flow Time have significant effects on the unemployment of floating population. Finally, some suggestions are given according to the research results.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Chunyan Lin
AU  - Yingchao Tian
PY  - 2020
DA  - 2020/04/06
TI  - Research on Unemployment Status and Influencing Factors of Floating Population in China
BT  - Proceedings of the 3rd International Conference on Advances in Management Science and Engineering (IC-AMSE 2020)
PB  - Atlantis Press
SP  - 227
EP  - 232
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200402.041
DO  - https://doi.org/10.2991/aebmr.k.200402.041
ID  - Lin2020
ER  -