IDEAS home Printed from https://ideas.repec.org/a/mhr/jinste/urnsici0932-4569(201609)1723_521caegae_2.0.tx_2-d.html
   My bibliography  Save this article

Corruption and Economic Growth: An Econometric Survey of the Evidence

Author

Listed:
  • Nauro F. Campos
  • Ralitza Dimova
  • Ahmad Saleh

Abstract

Does corruption grease or sand the wheels of economic growth? This paper provides a systematic evaluation of the effect of corruption on growth, using meta-analysis techniques for 460 estimates from 41 studies. We find that publication bias, albeit acute, does not dissipate the genuine and negative effect of corruption on growth. Among the main factors explaining the variation in the estimated effects, we find that taking account of (a) trade openness and institutions and (b) authors with academic affiliations (as opposed to think tanks and international organizations) seems to help generate less negative effects of corruption on growth.

Suggested Citation

  • Nauro F. Campos & Ralitza Dimova & Ahmad Saleh, 2016. "Corruption and Economic Growth: An Econometric Survey of the Evidence," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 172(3), pages 521-543, September.
    • Handle: RePEc:mhr:jinste:urn:sici:0932-4569(201609)172:3_521:caegae_2.0.tx_2-d
    DOI: 10.1628/093245616X14616712130543
    as

    Download full text from publisher

    File URL: https://www.mohrsiebeck.com/en/article/corruption-and-economic-growth-an-econometric-survey-of-the-evidence-101628093245616x14616712130543
    Download Restriction: Fulltext access is included for subscribers to the printed version.
    File URL: https://libkey.io/10.1628/093245616X14616712130543?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. Fernando del Río, 2021. "The impact of rent seeking on social infrastructure and productivity," Review of Development Economics, Wiley Blackwell, vol. 25(3), pages 1741-1760, August.
    2. Asiye Tutuncu & Yasar Bayraktar, 2024. "The effect of democracy and corruption paradox on economic growth: MINT countries," Economic Change and Restructuring, Springer, vol. 57(4), pages 1-25, August.
    3. Daniel Herold, 2017. "The Impact of Incentive Pay on Corporate Crime," MAGKS Papers on Economics 201752, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    4. Cieślik, Andrzej & Goczek, Łukasz, 2018. "Control of corruption, international investment, and economic growth – Evidence from panel data," World Development, Elsevier, vol. 103(C), pages 323-335.
    5. Joseph Pozsgai-Alvarez & Iván Pastor Sanz, 2021. "Mapping the (anti-)corruption field: key topics and changing trends, 1968–2020," Journal of Computational Social Science, Springer, vol. 4(2), pages 851-881, November.
    6. Vita, Giuseppe Di, 2021. "Political corruption and legislative complexity: Two sides of same coin?," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 136-147.
    7. Pérez-Oviedo, Wilson & Cajas-Guijarro, John & Pinzón-Venegas, Kathia, 2024. "Corruption, unemployment, and clientelism: A Political Economy approach," Economic Modelling, Elsevier, vol. 135(C).
    8. Vahe Lskavyan, 2023. "Corruption and foreign bank entry denials: A cross‐country panel analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4592-4603, October.
    9. del Río, Fernando, 2018. "Governance, social infrastructure and productivity," MPRA Paper 86245, University Library of Munich, Germany, revised 16 Apr 2018.
    10. Dincer, Oguzhan & Gunalp, Burak, 2020. "The effects of federal regulations on corruption in U.S. States," European Journal of Political Economy, Elsevier, vol. 65(C).
    11. Chen, Chiou-Wen & Yang, Meizhi, 2024. "The relationship between bureaucratic corruption and financial crisis in an open economy," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1583-1594.

    More about this item

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • P3 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions

    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:mhr:jinste:urn:sici:0932-4569(201609)172:3_521:caegae_2.0.tx_2-d. 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: Thomas Wolpert (email available below). General contact details of provider: https://www.mohrsiebeck.com/jite .

    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.