IDEAS home Printed from https://ideas.repec.org/a/taf/rpxmxx/v26y2024i7p1871-1891.html
   My bibliography  Save this article

Performance feedback, blame avoidance, and data manipulation in the public sector: evidence from China’s official city air quality ranking

Author

Listed:
  • Shaowei Chen

Abstract

Drawing upon the blame avoidance perspective, this study develops a holistic and extensible theory on how different performance feedback affects public organizations’ data manipulation behaviours. The theory predicts that negative (positive) performance feedback increases (decreases) public organizations’ tendency to engage in data manipulation. Moreover, organizational resources negatively moderate the relationship between negative performance feedback and data manipulation. Taking China’s official city air quality ranking as the empirical case, our empirical analyses with the panel data approach and the regression discontinuity design find strong evidence supporting these predictions.

Suggested Citation

  • Shaowei Chen, 2024. "Performance feedback, blame avoidance, and data manipulation in the public sector: evidence from China’s official city air quality ranking," Public Management Review, Taylor & Francis Journals, vol. 26(7), pages 1871-1891, July.
    • Handle: RePEc:taf:rpxmxx:v:26:y:2024:i:7:p:1871-1891
    DOI: 10.1080/14719037.2023.2171098
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14719037.2023.2171098
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/14719037.2023.2171098?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

    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:taf:rpxmxx:v:26:y:2024:i:7:p:1871-1891. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rpxm .

    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.