IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v16y2025i1d10.1007_s13132-024-02077-7.html
   My bibliography  Save this article

Corruption and Happiness: Fortune or Evil?

Author

Listed:
  • Aribah Aslam

    (The University of Lahore)

  • Uzair Mushtaq

    (The University of Lahore)

  • Ghulam Ghouse

    (The University of Lahore)

  • Rabeeya Raoof

    (The University of Lahore)

Abstract

It is commonly settled that corruption is a widespread threat to economic well-being, but there is hardly any rigorous research on how it may affect happiness. Corrupt people often fail to leave a trail of corruption, much owing to its illicit nature, irrespective of it long-term costs or in broader terms to acquire wealth for short-term happiness. As a concern, much of the studies remain anecdotal. We present here an empirical substantiation of the subject above by employing individual cross-sectional survey data for 57 countries from the latest survey wave 7 conducted by the World Value Survey (WVS) from 2017 to 2022. Structural equation modeling (SEM) is used to measure and analyze the relationship between latent variable (corruption) and observed variable (Happiness). Linear causal relationship among variables that looks for both direct and indirect effects is a more powerful technique as compare to simple regression analysis. The purpose of the present paper is to explicate SEM to exemplify their application by analyzing the prominent socio-economic determinants of happiness as suggested by strong theoretical literature. We reveal interesting causalities while exploring the nexus of corruption and happiness. In such an attempt, we also identify the impact of other controlling indicators including marriage, social involvements, and democracy, which have a significant say in the chain developed above.

Suggested Citation

  • Aribah Aslam & Uzair Mushtaq & Ghulam Ghouse & Rabeeya Raoof, 2025. "Corruption and Happiness: Fortune or Evil?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 5693-5713, March.
  • Handle: RePEc:spr:jknowl:v:16:y:2025:i:1:d:10.1007_s13132-024-02077-7
    DOI: 10.1007/s13132-024-02077-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-024-02077-7
    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/s13132-024-02077-7?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:spr:jknowl:v:16:y:2025:i:1:d:10.1007_s13132-024-02077-7. 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.