Proceedings of the 5th International Conference on Social Sciences and Economic Development (ICSSED 2020)

Influence of Women’s Childbearing on Their Labor Productivity

Authors
Xuhang Zhao
Corresponding Author
Xuhang Zhao
Available Online 2 April 2020.
DOI
10.2991/assehr.k.200331.063How to use a DOI?
Keywords
labour productivity, discrimination on birth, number of children
Abstract

This paper uses the data of China Family Panel Studies (CFPS), making a distinction between urban and rural samples and analysing the impact of women’s childbearing on their labour productivity. The results show that childbearing can significantly reduce women’s labour productivity and marginal effects have a decreasing trend. In addition, the higher a woman’s education, the less impact it has. Furthermore, rural women are more likely to be discriminated against in the labour market, while the effect of urban women’s childbearing on their labour productivity is more significant.

Copyright
© 2020, 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/).

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Volume Title
Proceedings of the 5th International Conference on Social Sciences and Economic Development (ICSSED 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
2 April 2020
ISBN
978-94-6252-946-5
ISSN
2352-5398
DOI
10.2991/assehr.k.200331.063How to use a DOI?
Copyright
© 2020, 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  - Xuhang Zhao
PY  - 2020
DA  - 2020/04/02
TI  - Influence of Women’s Childbearing on Their Labor Productivity
BT  - Proceedings of the 5th International Conference on Social Sciences and Economic Development (ICSSED 2020)
PB  - Atlantis Press
SP  - 294
EP  - 301
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200331.063
DO  - 10.2991/assehr.k.200331.063
ID  - Zhao2020
ER  -