Economics at your fingertips  

Gender wage gap in China: a large meta-analysis

Ichiro Iwasaki () and Xinxin Ma
Additional contact information
Xinxin Ma: University of Toyama

Journal for Labour Market Research, 2020, vol. 54, issue 1, 1-19

Abstract: Abstract This paper performs a meta-analysis of 1472 estimates extracted from 199 previous studies to investigate the gender wage gap in China. The results show that, although the gender wage gap in China during the transition period has an impact that statistically significant and economically meaningful, it remains at a low level. It is also revealed that the wage gap between men and women is more severe in rural regions and the private sector than those in urban regions and the public sector. Furthermore, we found that, in China, the gender wage gap has been increasing rapidly in recent years.

Keywords: Gender wage gap; Meta-synthesis; Meta-regression analysis; Publication selection bias; China (search for similar items in EconPapers)
JEL-codes: D63 J31 J71 P25 P36 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed

Downloads: (external link) Abstract (text/html)

Related works:
Journal Article: Gender wage gap in China: a large meta-analysis (2020) Downloads
Working Paper: Gender Wage Gap in China: A Large Meta-Analysis (2020) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Ordering information: This journal article can be ordered from

DOI: 10.1186/s12651-020-00279-5

Access Statistics for this article

Journal for Labour Market Research is currently edited by Joachim Möller

More articles in Journal for Labour Market Research from Springer, Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

Page updated 2022-01-07
Handle: RePEc:spr:jlabrs:v:54:y:2020:i:1:d:10.1186_s12651-020-00279-5