Research on Unemployment Status and Influencing Factors of Floating Population in China
Chunyan Lin, Yingchao Tian
Available Online 6 April 2020.
- https://doi.org/10.2991/aebmr.k.200402.041How to use a DOI?
- floating population, unemployment, influencing factors, logistic
- 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.
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 -