IDEAS home Printed from https://ideas.repec.org/a/bpj/johsem/v21y2024i3p417-440n1005.html
   My bibliography  Save this article

Associations Between Public Service Motivation, Depression and Anxiety Among Firefighters: A Chain Mediation Model of Employee Resilience and Job Satisfaction

Author

Listed:
  • Liu Hongbing

    (Center for Risk Governance and Emergency Management, Shandong University, Qingdao, China)

  • Guo Chunfu

    (School of Politics and Public Administration, Southwest University of Political Science and Law, Chongqing, China)

  • Han Ziqiang

    (Center for Risk Governance and Emergency Management, Shandong University, Qingdao, China)

Abstract

The Chinese firefighting system has been transferred from military soldiers to professional civil servants since the 2018 institutional reform, and they have become a critical component of the newly established Department of Emergency Management. Studies on firefighters in China are limited, and this study can contribute to our understanding of the mental health and influencing mechanisms of emergency management workforces like firefighters, particularly in the context of institutional reform and a shortage of disaster workforce worldwide. This study investigates the associations between public service motivation (PSM), employee resilience, job satisfaction, depression and anxiety (DA) in firefighters. A questionnaire survey of 776 firefighters from two provinces, one from the north and the other from the south, was conducted. Chain-mediated regression models were used to analyze the associations. The results demonstrate that firefighters with more PSM have significantly lower depression and anxiety (beta = −0.215, p

Suggested Citation

  • Liu Hongbing & Guo Chunfu & Han Ziqiang, 2024. "Associations Between Public Service Motivation, Depression and Anxiety Among Firefighters: A Chain Mediation Model of Employee Resilience and Job Satisfaction," Journal of Homeland Security and Emergency Management, De Gruyter, vol. 21(3), pages 417-440.
    • Handle: RePEc:bpj:johsem:v:21:y:2024:i:3:p:417-440:n:1005
    DOI: 10.1515/jhsem-2023-0002
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jhsem-2023-0002
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/jhsem-2023-0002?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.

    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:bpj:johsem:v:21:y:2024:i:3:p:417-440:n:1005. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.