IDEAS home Printed from https://ideas.repec.org/a/taf/pubmgr/v11y2009i2p155-172.html
   My bibliography  Save this article

Conviction and Punishment

Author

Listed:
  • Xiaowen Tian
  • Vai Io Lo

Abstract

Democratic institutions are not equally effective in curbing corruption. Using a criminal behavior model, this study formulates the hypothesis that corruption offenders, being risk-inclined, are deterred more by conviction-reinforcing democratic institutions than by punishment-reinforcing democratic institutions. Evidence based on cross-country regressions strongly supports this hypothesis, indicating that compared with competitive election, free press is a more effective deterrent to corruption. While shedding light on why corruption remains rampant in some electoral democracies -- particularly the illiberal democracies -- this study identifies a key to corruption control.

Suggested Citation

  • Xiaowen Tian & Vai Io Lo, 2009. "Conviction and Punishment," Public Management Review, Taylor & Francis Journals, vol. 11(2), pages 155-172, March.
  • Handle: RePEc:taf:pubmgr:v:11:y:2009:i:2:p:155-172
    DOI: 10.1080/14719030802685479
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14719030802685479
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14719030802685479?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tian, Xiaowen & Ruan, Wenjuan & Xiang, Erwei, 2017. "Open for innovation or bribery to secure bank finance in an emerging economy: A model and some evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 226-240.
    2. Wai Choi Lee & Tsun Se Cheong & Yanrui Wu & Jianxin Wu, 2019. "The Impacts of Financial Development, Urbanization, and Globalization on Income Inequality: A Regression-based Decomposition Approach," Asian Economic Papers, MIT Press, vol. 18(2), pages 126-141, Summer.
    3. Xiaowen Tian, 2017. "Learning breakdown in latecomer multinational enterprises," Asia Pacific Journal of Management, Springer, vol. 34(4), pages 823-850, December.
    4. Aidt, Toke S. & Hillman, Arye L. & Qijun, LIU, 2020. "Who takes bribes and how much? Evidence from the China Corruption Conviction Databank," World Development, Elsevier, vol. 133(C).

    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:pubmgr:v:11:y:2009:i:2:p:155-172. 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/RPXM20 .

    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.