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The effect of Russian unfriendly-country list and import ban: Gravity framework test

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A94851" target="_blank" >RIV/60460709:41110/23:94851 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.14254/2071-8330.2023/16-2/4" target="_blank" >https://doi.org/10.14254/2071-8330.2023/16-2/4</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14254/2071-8330.2023/16-2/4" target="_blank" >10.14254/2071-8330.2023/16-2/4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The effect of Russian unfriendly-country list and import ban: Gravity framework test

  • Original language description

    Since 2021, Russia has maintained a list of unfriendly countries. This list and the import ban list introduced in 2014 are some of the main economic sanctions Russia uses to influence trading partners. This paper attempts to quantify the effect of putting a trading partner on the list of unfriendly countries compared to the Russian import ban. The study uses the data on trade flows between Russia and its trading partners from the UN COMTRADE database for select agri-food products. Employing a gravity framework, we argue that countries added to the unfriendly list in 2022 often had already lost a significant part of exports due to the 2014 Russian import ban introduction. Thus, such countries did not experience significant change compared to the effects of the Russian import ban. Based on this conclusion, Russia has a limited capacity to apply such retaliatory measures to Western countries regarding agri-food trade. Our results also demonstrate that the presence of the import ban drives export flows of the studied products, while the GDP of the trading partner also plays an important role, albeit with a lower magnitude.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of International Studies

  • ISSN

    2071-8330

  • e-ISSN

    2071-8330

  • Volume of the periodical

    16

  • Issue of the periodical within the volume

    2023-01-01

  • Country of publishing house

    PL - POLAND

  • Number of pages

    13

  • Pages from-to

    72-84

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85165275963