Advanced Search
MyIDEAS: Login

Predictable Corruption and Firm Investment: Evidence from a Natural Experiment and Survey of Cambodian Entrepreneurs

Contents:

Author Info

  • Malesky, Edmund J.
  • Samphantharak, Krislert
Registered author(s):

    Abstract

    This paper utilizes a unique dataset of 500 firms in ten Cambodian provinces and a natural experiment to test a long-held convention in political economy that the predictability of a corruption is at least as important for firm investment decisions as the amount of bribes a firm must pay, provided the bribes are not prohibitively expensive. Our results suggest that this hypothesis is correct. Firms exposed to a shock to their bribe schedules by a change in governor invest significantly less in subsequent periods, as they wait for new information about their new chief executive. Furthermore, the amount of corruption (both measured by survey data and proxied by the number of commercial sex workers) is significantly lower in provinces with new governors. Our findings are robust to a battery of firm-level controls and province-level investment climate measures.

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL: http://dx.doi.org/10.1561/100.00008013
    Download Restriction: no

    Bibliographic Info

    Article provided by now publishers in its journal International Quarterly Journal of Political Science.

    Volume (Year): 3 (2008)
    Issue (Month): 3 (October)
    Pages: 227-267

    as in new window
    Handle: RePEc:now:jlqjps:100.00008013

    Contact details of provider:
    Web page: http://www.nowpublishers.com/

    Related research

    Keywords:

    References

    No references listed on IDEAS
    You can help add them by filling out this form.

    Citations

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

    Cited by:
    1. Jensen, Nathan M & Rahman, Aminur, 2011. "The silence of corruption : identifying underreporting of business corruption through randomized response techniques," Policy Research Working Paper Series 5696, The World Bank.
    2. Benjamin A. Olken & Rohini Pande, 2012. "Corruption in Developing Countries," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 479-509, 07.
    3. Ahmed, Faisal Z. & Greenleaf, Anne & Sacks, Audrey, 2014. "The Paradox of Export Growth in Areas of Weak Governance: The Case of the Ready Made Garment Sector in Bangladesh," World Development, Elsevier, vol. 56(C), pages 258-271.

    Lists

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    Statistics

    Access and download statistics

    Corrections

    When requesting a correction, please mention this item's handle: RePEc:now:jlqjps:100.00008013. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alet Heezemans).

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.