IDEAS home Printed from https://ideas.repec.org/a/acf/journl/yid408.html
   My bibliography  Save this article

Stochastic Model for Assessment of Effective Management of Customs Risks

Author

Listed:
  • Vladimir Georgievich Anisimov
  • Evgeny Georgiyevich Anisimov
  • Evgenia Sergeyevna Rodionova
  • Tatyana Nikolaevna Saurenko

Abstract

In article the mathematical model for a quantitative assessment of effective management of customs risks is offered. Feature of model consists in the complex accounting of direct and latent effects of functioning of a control system of customs risks (RMS). The model relies on probability-theoretic representation of process of possible violation of the customs legislation by participants of foreign economic activity.

Suggested Citation

  • Vladimir Georgievich Anisimov & Evgeny Georgiyevich Anisimov & Evgenia Sergeyevna Rodionova & Tatyana Nikolaevna Saurenko, 0. "Stochastic Model for Assessment of Effective Management of Customs Risks," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 9.
    • Handle: RePEc:acf:journl:y::id:408
    as

    Download full text from publisher

    File URL: https://www.acjournal.ru/jour/article/viewFile/408/409
    Download Restriction: no
    ---><---

    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:acf:journl:y::id:408. 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: Рнтонова Ð•Ð²Ð³ÐµÐ½Ð¸Ñ Ð’Ð»Ð°Ð´Ð¸Ð¼Ð¸Ñ€Ð¾Ð²Ð½Ð° (email available below). General contact details of provider: https://sziu.ranepa.ru .

    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.