[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/dah/aeqaeq/v63_y2017_i2_q2_p177-210.html
   My bibliography  Save this article

Tax Complexity and Corruption

Author

Listed:
  • Yaron Zelekha
Abstract
Complicated tax systems may provide more opportunities for rent-seeking tax officials and politicians to grant favors and may attract the activity of fixers, both of which may lead to corruption. However, the possible channels between tax complexity and corruption have not been addressed in the literature. Using a large cross-section sample dataset, this study presents the empirical evidence suggesting that high degrees of tax complexity may serve as a breeding ground for corruption. Furthermore, in this framework, I examine the conditions under which the impact of tax complexity can change. Moreover, this study helps to resolve whether tax complexity effects are derived from tax levels, tax system structure or pure complexity.

Suggested Citation

  • Yaron Zelekha, 2017. "Tax Complexity and Corruption," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 63(2), pages 177-210.
  • Handle: RePEc:dah:aeqaeq:v63_y2017_i2_q2_p177-210
    DOI: 10.3790/aeq.63.2.177
    as

    Download full text from publisher

    File URL: https://doi.org/10.3790/aeq.63.2.177
    Download Restriction: Access to full text is restricted to subscribers (2008 onwards); Pay-per-view access from https://elibrary.duncker-humblot.com/journals/aeq (2008 onwards) and http://www.genios.de (2008 onwards)

    File URL: https://libkey.io/10.3790/aeq.63.2.177?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. Nguyen, Trang T.T. & Prior, Diego & Van Hemmen, Stefan, 2020. "Stochastic semi-nonparametric frontier approach for tax administration efficiency measure: Evidence from a cross-country study," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 137-153.
    2. Pham Thai Binh & Trang Thi Thuy Nguyen, 2024. "Do institutions advocate tax simplification? Insights from a panel of 88 countries," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-39, June.
    3. Neba Bhalla & Rakesh Kumar Sharma & Inderjit Kaur, 2023. "Effect of Goods and Service Tax System on Business Performance of Micro, Small and Medium Enterprises," SAGE Open, , vol. 13(2), pages 21582440231, June.

    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:dah:aeqaeq:v63_y2017_i2_q2_p177-210. 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: E-Publishing-Team (email available below). General contact details of provider: https://www.duncker-humblot.de .

    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.