IDEAS home Printed from https://ideas.repec.org/a/spr/ijoeps/v18y2024i1d10.1007_s42495-023-00122-y.html
   My bibliography  Save this article

Employment quality and employees’ health: evidence from an Internet survey in Japan

Author

Listed:
  • Mayu Fujii

    (Hokkaido University of Education)

Abstract

With the global rise in atypical work arrangements, understanding how employment quality affects workers' health has become an important academic and policy issue. This study investigates how employment quality is related to workers’ health by using data on Japanese employees collected through an Internet survey, and adopting a typological approach to measure employment quality. The analysis was conducted in two steps. First, a latent class cluster analysis was applied to a set of indicators that represent various components of employment quality identified in past studies (employment stability, material rewards, working time arrangements, training opportunities, collective organization, and interpersonal power relations) and employees in the sample were classified into indicator-based groups. Second, logistic regressions were conducted to examine whether and how the subjective health status and mental health status of employees vary among these groups after controlling for differences in employees’ demographic characteristics. The analysis identified five distinct groups, each representing different types of employment quality, and revealed the existence of health disparities among them. While the Japanese employment system, known for its well-developed internal labor markets, has motivated existing studies to focus mainly on differences in health outcomes between regular and non-regular employees, the findings of this study suggest the usefulness of the typological approach in capturing diverse patterns of employment quality experienced by Japanese workers and assessing how such patterns affect their health status.

Suggested Citation

  • Mayu Fujii, 2024. "Employment quality and employees’ health: evidence from an Internet survey in Japan," International Journal of Economic Policy Studies, Springer, vol. 18(1), pages 119-141, February.
  • Handle: RePEc:spr:ijoeps:v:18:y:2024:i:1:d:10.1007_s42495-023-00122-y
    DOI: 10.1007/s42495-023-00122-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42495-023-00122-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s42495-023-00122-y?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

    Employment quality; Subjective health status; Mental health; Labor market; Latent class cluster analysis;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

    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:spr:ijoeps:v:18:y:2024:i:1:d:10.1007_s42495-023-00122-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.