IDEAS home Printed from https://ideas.repec.org/a/eee/asieco/v95y2024ics1049007824000964.html
   My bibliography  Save this article

The clan imprint within gender wage gap: Evidence from China

Author

Listed:
  • Liu, Yulin
  • Ran, Wei

Abstract

Clan culture plays a pivotal role in shaping gender disparities in individual choices. This paper, utilizing data from Chinese General Social Survey 2013, employs genealogy density as a proxy variable for clan culture. The results suggest that clan culture significantly promotes an increase in male wage, while no significant impact on female wage, consequently widening the gender wage gap. Notably, patrilineal clan exacerbates gender differences in human capital investment, reinforces gender identity, and intensifies social trust disparities, thereby perpetuating the escalation of gender wage inequality. Conversely, the internet, serving as a primary vehicle for modern gender equality ideas, mitigates the positive effect of clan on gender wage disparity. Further investigation reveals that the positive impact of clan culture on gender wage gap diminishes with an upward shift in wage distribution and narrows with generational transitions. These findings extend the cultural explanation pathway for gender wage gap.

Suggested Citation

  • Liu, Yulin & Ran, Wei, 2024. "The clan imprint within gender wage gap: Evidence from China," Journal of Asian Economics, Elsevier, vol. 95(C).
  • Handle: RePEc:eee:asieco:v:95:y:2024:i:c:s1049007824000964
    DOI: 10.1016/j.asieco.2024.101801
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1049007824000964
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.asieco.2024.101801?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Gender wage gap; Clan culture; Gender identity; Internet usage;
    All these keywords.

    JEL classification:

    • Z10 - Other Special Topics - - Cultural Economics - - - General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:asieco:v:95:y:2024:i:c:s1049007824000964. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/asieco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.