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“Having leapt never look back”: Who stays with Russia and how are imports redistributed?
https://doi.org/10.32609/0042-8736-2023-12-48-65
Abstract
We examine the division of countries according to their political attitude towards Russia after the launch of a special military operation in Ukraine and the introduction of large-scale sanctions, and illustrate the importance of sanctions and political attitude to Russia for countries’ exports there with the available statistical data. The countries are clustered by their participation in sanctions pressure on Russia and voting on six UN resolutions condemning Russia’s actions. Except for hostile countries, we distinguish three groups of friendly countries — “cautious” (voting for UN resolutions), “wavering” (non-systematic voting), and “sympathetic” (voting against resolutions or ignoring them). According to mirror data on foreign trade with Russia, most countries which increased their exports to Russia in 2022 belong to the “sympathizers” group. Relying on the evidence from the EU and China, we demonstrate that imports of sanctioned goods are redistributed more actively than other imports. We list major products which imports were redistributed successfully or unsuccessfully.
About the Authors
A. A. Gnidchenko
Center for Macroeconomic Analysis and Short-Term Forecasting;
Institute for Economic Forecasting, Russian Academy of Sciences;
HSE University
Russian Federation
Russian Federation
Andrey A. Gnidchenko
Moscow
O. M. Mikheeva
Center for Macroeconomic Analysis and Short-Term Forecasting;
Institute for Economic Forecasting, Russian Academy of Sciences;
HSE University
Russian Federation
Russian Federation
Olga M. Mikheeva
Moscow
V. A. Salnikov
Center for Macroeconomic Analysis and Short-Term Forecasting;
Institute for Economic Forecasting, Russian Academy of Sciences;
HSE University
Russian Federation
Russian Federation
Vladimir A. Salnikov
Moscow
References
1. Bailey M., Strezhnev A., Voeten E. (2017). Estimating dynamic state preferences from United Nations voting data. Journal of Conflict Resolution, Vol. 2, No. 61, pp. 430—456. https://doi.org/10.1177/0022002715595700
2. Binder M., Lockwood Payton A. (2022). With frenemies like these: Rising power voting behavior in the UN General Assembly. British Journal of Political Science, Vol. 52, No. 1, pp. 381—398. https://doi.org/10.1017/S0007123420000538
3. Bo H. (2022). Implications of the Ukraine war for China: Can China survive secondary sanctions? Journal of Chinese Economic and Business Studies, Vol. 21, No. 2, pp. 311—322. https://doi.org/10.1080/14765284.2022.2136933
4. Chupilkin M., Javorcik B., Plekhanov A. (2023). The Eurasian roundabout: Trade flows into Russia through the Caucasus and Central Asia. EBRD Working Paper, No. 276. https://doi.org/10.2139/ssrn.4368618
5. Crozet M., Hinz J. (2020). Friendly fire: The trade impact of the Russia sanctions and counter-sanctions. Economic Policy, Vol. 35, No. 101, pp. 97—146. https://doi.org/10.1093/epolic/eiaa006
6. Felbermayr G., Kirilakha A., Syropoulos C., Yalcin E., Yotov Y. (2020). The global sanctions data base. European Economic Review, Vol. 129, article 103561. https://doi.org/10.1016/j.euroecorev.2020.103561
7. Gullstrand J. (2020). What goes around comes around: The effects of sanctions on Swedish firms in the wake of the Ukraine crisis. World Economy, Vol. 43, No. 9, pp. 2315—2342. https://doi.org/10.1111/twec.13000
8. Hausmann R., Schetter U., Yildirim M. (2022). On the design of effective sanctions: The case of bans on exports to Russia. CID Working Paper Series, No. 417.
9. Javorcik B., Kitzmüller L., Schweiger H., Yildirim M. (2022). Economic costs of friendshoring. EBRD Working Paper, No. 274.
10. Latipov O., Lau C., Mahlstein K., Schropp S. (2022). The economic effects of potential EU tariff sanctions on Russia — A sectoral approach. Intereconomics, Vol. 57, No. 5, pp. 294—305. https://doi.org/10.1007/s10272-022-1074-1
11. Lu F., Huang L., Li S. (2022). Sanctions and social capital: Evidence from the Russian invasion of Ukraine. Available at SSRN: https://doi.org/10.2139/ssrn.4108129
12. MacQueen J. (1967). Some methods for classification and analysis of multivariate observations. In: L. M. Le Cam, J. Neyman (eds.). Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, Vol. 1. California: University of California Press, pp. 281—297.
13. Mahlstein K., McDaniel C., Schropp S., Tsigas M. (2022). Estimating the economic effects of sanctions on Russia: An allied trade embargo. World Economy, Vol. 45, No. 11, pp. 3344—3383. https://doi.org/10.1111/twec.13311
14. Mardones C. (2023). Economic effects of isolating Russia from international trade due to its ‘special military operation’ in Ukraine. European Planning Studies, Vol. 31, No. 4, pp. 663—678. https://doi.org/10.1080/09654313.2022.2079074
15. Rhee K., Crabtree C., Horiuchi Y. (2023). Perceived motives of public diplomacy influence foreign public opinion. Political Behavior. https://doi.org/10.1007/s11109-022-09849-4
16. Timofeev I. (2022). Sanctions on Russia: A new chapter. Russia in Global Affairs, Vol. 20, No. 4, pp. 103—119. https://doi.org/10.31278/1810-6374-2022-20-4-103-119
17. Weber P., Schneider G. (2020). How many hands to make sanctions work? Comparing EU and US sanctioning efforts. European Economic Review, Vol. 130, No. C, article 103595. https://doi.org/10.1016/j.euroecorev.2020.103595
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For citations:
Gnidchenko A.A., Mikheeva O.M., Salnikov V.A. “Having leapt never look back”: Who stays with Russia and how are imports redistributed? Voprosy Ekonomiki. 2023;(12):48-65. (In Russ.) https://doi.org/10.32609/0042-8736-2023-12-48-65
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