Proceedings of the International Conference on Education Innovation and Social Science (ICEISS 2017)

A Study on Shortage of Nursing Staffs and Employment Security-An Empirical Study of Hangzhou City

Authors
Kaili Che, Yandong Yang
Corresponding Author
Kaili Che
Available Online November 2017.
DOI
https://doi.org/10.2991/iceiss-17.2017.62How to use a DOI?
Keywords
Pension institutions; Nursing staff; Employment stability; Influencing factors
Abstract
The construction of hardware facilities for pension institutions in China has developed rapidly in recent years. However, the number and quality of personnel engaged in nursing care work failed to keep up with the actual demand, and the stability of employees was low. Through the empirical study of 30 pension institutions in Hangzhou, we found that factors such as age, salary, leave, working conditions and labor intensity, labor contract, relationship with employer, occupational prestige and promotion opportunities have a significant impact on the work stability of nursing staff. Based on this, in order to solve the problem of unstable pension care worker teams, relevant intervention measures should be taken from the aspects of institution management, assessment system, salary guarantee and occupational status and so on.
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Proceedings
International Conference on Education Innovation and Social Science (ICEISS 2017)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
November 2017
ISBN
978-94-6252-421-7
ISSN
2352-5398
DOI
https://doi.org/10.2991/iceiss-17.2017.62How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Kaili Che
AU  - Yandong Yang
PY  - 2017/11
DA  - 2017/11
TI  - A Study on Shortage of Nursing Staffs and Employment Security-An Empirical Study of Hangzhou City
BT  - International Conference on Education Innovation and Social Science (ICEISS 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceiss-17.2017.62
DO  - https://doi.org/10.2991/iceiss-17.2017.62
ID  - Che2017/11
ER  -