Influence Factors on Gender Wage Gap

Evidences from Chinese Household Income Project Survey

Bibliographic Data

ID12068305
AuthorsHao Chen (0000-0002-8873-8266, University of International Business and Economics, corresponding author), Jianwei Chen (0000-0003-2332-4609, MOE-UIBE of Education and Economy Research Center, University of International Business and Economics, Beijing 100029, China), Wence Yu (Chinese Academy of International Trade and Economic Cooperation, Beijing 100710, China)
Year2017
Volume46
Issue4
Pages371-395
Publication date2017-08-07
Open AccessNo
TypeARTICLE
VenueForum for Social Economics (JOURNAL)
Journal identifiersISSN: 0736-0932 • E-ISSN: 1874-6381
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/07360932.2017.1356346
OpenAlexW2744011286
LanguageEN
Citations received2
References cited10

By constructing a gender wage gap evolution model, this paper examines the source and evolutionary process of gender wage inequality from a theoretical perspective. The purpose of this study is thoroughly investigating the factors affecting the gender wage inequality from the perspective of gender discrimination and variations in non-gender endowments. Based on the Chinese Household Income Project Survey Data, this study indicates that: (1) since companies continue to re-evaluate the gender endowment value of gender, the gender wage inequality exhibits an endogenous sustainability and self-reinforcing effect. (2) The gender wage gap of urban residents is derived mainly from the top tier of wages, while the gender wage gap of the migrant people is mainly determined from the bottom rung of wages. (3) Female age has a ‘U-curve’ impact on gender wage inequality from the standpoint of non-gender endowment differences, and the female age has an ‘inverted U-curve’ impact on gender wage inequality as a result of discrimination. (4) Female appearance and actual work hours are insufficient to affect the changing trend of gender wage inequality; however, h-register location and marital status are still considered to be very important

Demographic economics · Economics · Geography · Household income · Labour economics · Social policy · Survey data collection · Wage · Gender, Labor, and Family Dynamics · Labor market dynamics and wage inequality · Social Policy and Reform Studies

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