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  • Christina Nikolova
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  • Christina Nikolova, UNWE
  • Elka Todorova, UNWE
  • Plamen Mishev, UNWE
  • Maya Lambovska, UNWE
  • Todor Nedev, UNWE
  • Dorina Kabakchieva, UNWE
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  • Dr. Damian Stantchev
    Edinburgh NAPIER University, UK

  • Dr. Ivaylo Vassilev
    University of Southampton,UK

  • Prof. Dr. Irina Kuzmina-Merlino
    Transport and Telecommunication Institute, Riga

  • Milan Zdravkovic
    University of Niš, Serbia

  • Prof. Dr. Niculae Mihaita
    Bucharest Academy of Economic Studies, Romania

  • Prof. Ricardo Jardim-Gonçalves, PhD
    UNINOVA institute, New University of Lisbon, Portugal

  • Prof. Ing. Jaroslav Belás, PhD
    Tomas Bata University in Zlín, Czech Republic

  • Prof. Dr. John Rijsman,
    Tilburg University

  • Prof. Ing. Zdenek Dvorák, PhD
    University of Zilina, Slovak Republic

  • Prof. Dr. Zoran Cekerevac
    “Union – Nikola Tesla” University in Belgrade, Serbia

Tobacco Products Contraband & Counterfeit Risk Identification
YEARBOOK OF UNWE
year 2019

Tobacco Products Contraband & Counterfeit Risk Identification

Abstract

This article presents the results of a research project “Contraband & Counterfeit Risks Identification (Analysis of Business Processes and Spatial Aspects)“, funded by PMI IMPACT. The project has been developed by the team of Department “National and Regional Security” at the UNWE. It is focused on states located on the Balkan route of trafficking from Turkey to the Western Europe, including France, the UK, Germany and Italy. The main focused is on Bulgaria due to its key geographical location.

Within the project а unique illicit tobacco trade identification indicator has been developed. It is so called – Illicit Trade in Tobacco Products Indicator (ITTPI). ITTPI can be visualized on an interactive map and could be implemented all over the world. It can be used in the daily work of institutions dealing with the counteractions of the illicit tobacco and tobacco products trade. Despite other methods the model can forecast and detect centers and channels of illicit tobacco trade by visualizing certain regions. The method has been tested in 186 countries and separately for 1744 EU regions (EUROSTAT NUTS3). Model data have been validated by comparison with several studies of other international research centers.

JEL: C15, L66, K10

Keywords

structural equation modelling, contraband & counterfeit, tobacco products, risk identification, modus operandi, business process analysis, spatial-temporal analysis
Download Yearbook_2019_No06_Dimitrov, Tsvetkov, Penchev, Poudin.pdf
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ISSN (print): 1312-5486
ISSN (online): 2534-8949