Proceedings of the 2017 International Conference on Management, Education and Social Science (ICMESS 2017)

An Empirical Research on Female Income

Authors
Manxue Chen, Kangyin Lu
Corresponding Author
Manxue Chen
Available Online June 2017.
DOI
10.2991/icmess-17.2017.47How to use a DOI?
Keywords
female income; gender pay gap; mincer wage equation
Abstract

Female income is one of the important factors that reflect the social status of women. By employing Nationwide Survey on the status of Chinese women, this paper analyzes female income and its influence factors through correlation analysis and multiple linear regression analysis. The results suggest that gender pay gap still remains; education significantly affects the income, but it is not the reason for causing the income gap; household registration system has an increasing impact upon gender pay gap; Technical and professional titles fail to contribute to the income of female workforce.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 International Conference on Management, Education and Social Science (ICMESS 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2017
ISBN
10.2991/icmess-17.2017.47
ISSN
2352-5398
DOI
10.2991/icmess-17.2017.47How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Manxue Chen
AU  - Kangyin Lu
PY  - 2017/06
DA  - 2017/06
TI  - An Empirical Research on Female Income
BT  - Proceedings of the 2017 International Conference on Management, Education and Social Science (ICMESS 2017)
PB  - Atlantis Press
SP  - 197
EP  - 200
SN  - 2352-5398
UR  - https://doi.org/10.2991/icmess-17.2017.47
DO  - 10.2991/icmess-17.2017.47
ID  - Chen2017/06
ER  -