IDEAS home Printed from https://ideas.repec.org/a/eee/chieco/v82y2023ics1043951x23001591.html
   My bibliography  Save this article

City size and the employment of female migrant workers in the service sector: Evidence from urban China

Author

Listed:
  • Huang, Lulu
  • Zhang, Yuan
  • Zuo, Congmin

Abstract

More than 50 million female migrant workers (FMWs) are employed in urban China. This study establishes a causal relationship between city size and the probability of FMWs engaging in the service sector by arguing that large cities with more high-skilled local workers have a higher demand for household services, creating more job opportunities and attracting FMWs to seek jobs in the urban sector. Employing nationally representative data, empirical evidence shows that households in larger cities tend to spend a greater proportion of their income on household services than in smaller cities. The further discussion shows that a higher share of FMWs in a city significantly improves the labor participation rates and the weekly working hours of high-skilled local female workers (LFWs), implying a skill complementarity between them. These results shed light on the role played by FMWs in the urban labor market of China.

Suggested Citation

  • Huang, Lulu & Zhang, Yuan & Zuo, Congmin, 2023. "City size and the employment of female migrant workers in the service sector: Evidence from urban China," China Economic Review, Elsevier, vol. 82(C).
  • Handle: RePEc:eee:chieco:v:82:y:2023:i:c:s1043951x23001591
    DOI: 10.1016/j.chieco.2023.102074
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1043951X23001591
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chieco.2023.102074?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

    Female migrant workers; City size; Demand for service;
    All these keywords.

    JEL classification:

    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

    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:chieco:v:82:y:2023:i:c:s1043951x23001591. 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/chieco .

    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.