Moscow, Russian Federation
The difficult-to-control processes caused by trade wars and sanctions can be analyzed only post factum, since the large-scale state-level decisions need time to take effect. Modern trade-war methods usually include a collective pressure on the competing country, and the economic leverage is accompanied by the power politics. In recent years, national economies have undergone many crises, trade conflicts, and black swan events. The International Monetary Fund predicts no return to former economic growth rates. The IT industry is an advanced digitalization driver and a promising direction for state investments. The sphere of IT technologies will also have to adjust to the new circumstances. This study focuses on the IT industries of the world’s leading economies and the sanctions policy of the recent years. The research relied on domestic and international scientific papers, analytical reports, statistical collections, and expert assessments related to the topic of international trade wars, political sanctions, and the IT industry. The author considered international trade conflicts both diachronically and synchronically. The current state of the leading economies was described in terms of their GDP. Some experts report the low effectiveness of full-scale sanctions in defending political and economic interests. Since Western Europe and the United States were responsible for most trade wars in the past, they probably find this mechanism beneficial in conducting a dialogue with their opponents. The author believes that the IT industry will be able to adapt to the new economic reality as the era of the unipolar world imposed by the United States is fading into history, triggering inevitable changes in the international economic relations.
international trade wars, sanctions wars, national economy, international trade, digitalization, IT technologies
1. Ageeva AF. The humanitarian impact of comprehensive sanctions. Problemy teorii i praktiki upravleniya [Issues of Theory and Practice of Management]. 2022;(2):20-37. (In Russ.)
2. Ageeva AF. Assessment of the effects of world sanctions wars. Problemy teorii i praktiki upravleniya [Issues of Theory and Practice of Management]. 2021;(8):34-46. (In Russ.) https://doi.org/10.46486/0234-4505-2021-8-34-46
3. Bakhtizin AR, Il'in NI, Kachan MV. Development of the strategic management system in the context of digitalization. Economic Strategies. 2022;24(1):20-33. (In Russ.) https:/doi.org/10.33917/es-1.181.2022.20-33
4. Evdokimov DS. Analysis of the escalation of intercountry trade wars and the computer capabilities of situation centers to assess their consequences. Artificial Societies. 2021;16(4). (In Russ.) https://doi.org/10.18254/S207751800017756-0
5. Kvint VL. Kontseptsiya strategirovaniya. T. 1 [The concept of strategizing. Vol. 1.]. St. Petersburg: SZIU RANKhiGS; 2019. 132 p. (In Russ.)
6. Kvint VL, Trachuk AV, Dzgoev VD. Strategirovanie natsionalʹnykh i regionalʹnykh innovatsionnykh sistem: Daydzhest mirovykh praktik dlya gosudarstvennogo i munitsipalʹnogo upravlencheskogo personala [Strategizing national and regional innovation systems: A digest of world practices for state and municipal management personnel]. Moscow: Byudzhet; 2021. 199 p. (In Russ.) https://doi.org/10.34829/KARO.978-5-6046414-0-8
7. Makarov VL, Bakhtizin AR, Loginov EL. Primenenie ehkonomiko-matematicheskikh metodov i modeley optimalʹnogo planirovaniya v tsifrovoy ehkonomike budushchego. TSEHMI AN SSSR i TSEHMI RAN: prognosticheskaya interpretatsiya i razvitie nauchnogo naslediya nobelevskikh laureatov L.V. Kantorovicha i V.V. Leontʹeva [Application of economic and mathematical methods and models of optimal planning in the digital economy of the future. Central Institute of Economics and Mathematics, USSR and Russian Academy of Sciences: prognostic interpretation and development of the scientific heritage of Nobel laureates L.V. Kantorovich and V.V. Leontiev]. Moscow: TSEHMI RAN; 2022. 247 p. (In Russ.)
8. Makarov VL, Bakhtizin AR, Epstein JM. Agent-based modeling for a complex world. Part 2. Economics and Mathematical Methods. 2022;58(2):7-21. https://doi.org/10.31857/S042473880020009-8
9. Makarov VL, Bakhtizin AR, Wu J, Wu Z, Sushko ED, Khabriev BR. Modeling and assessment of national power of different countries all over the world. Artificial Societies. 2021;16(3). https://doi.org/10.18254/S207751800016081-8
10. Mytareva EA. “Torgovaya voyna” kak sredstvo netarifnogo regulirovaniya mezhdunarodnoy torgovli [Trade war as a means of non-tariff regulation of international trade]. Bulletin of Kemerovo State University. 2010;41(1):74-77. (In Russ.)
11. Makarov VL, Wu J, Bakhtizin AR, Sushko ED, Khabriev BR. National security of countries all over the world. Artificial Societies. 2021;16(3). https://doi.org/10.18254/S207751800016011-1
12. Park S-C. Trade conflict between the U.S. and China: What are the impacts on the Chinese economy? International Organisations Research Journal. 2020;15(2):213-235. (In Russ.) https://doi.org/10.17323/1996-7845-2020-02-10
13. Sobolev AV, Brovko SA, Kuyuzova AA. Rossiya v usloviyakh sanktsionnoy voyny [Russia in the conditions of the sanctions war]. Innovatsionnoe razvitie rossiyskoy ehkonomiki: Materialy X Mezhdunarodnoy nauchno-prakticheskoy konferentsii: v pyati tomakh. Tom 2 [Innovative development of the Russian economy: Proceedings of the X International scientific and practical conference: in five volumes. Volume 2]; 2017; Moscow. Moscow: Plekhanov Russian University of Economics; 2017. p. 369-371. (In Russ.).
14. Makarov VL, Wu J, Wu Z, Khabriev BR, Bakhtizin AR. Modern tools for evaluating the effects of global trade wars. Herald of the Russian Academy of Sciences. 2019;89(7):745-754. (In Russ.) https://doi.org/10.31857/S0869-5873897745-754
15. Kvint VL, Vlasyuk LI, Evdokimov DS, Azarov YuYu, Alabina TA, Aleshkovsky IA, et al. Strategizing of the digital Kuzbass region. Kemerovo: Kemerovo State University; 2021. 434 p. (In Russ.) https://doi.org/10.21603/978-5-8353-2796-6
16. Makarov VL, Nigmatulin RI, Ilyin NI, Bakhtizin AR, Sushko ED, Sidorenko MYu. The digital twin (artificial society) of the socio-economic system of Russia is a platform for experiments in the field of managing demographic processes. Economic Strategies. 2022;24(2):6-18. (In Russ.) https://doi.org/10.33917/es-2.182.2022.6-19
17. Chanyshev RN, Isanov IE. The phenomenon of the “sanctions war” in the system of modern international relations. Science. Society. Defense. 2021;9(4). (In Russ.) https://doi.org/10.24412/2311-1763-2021-4-29-29
18. Makarov VL, Bakhtizin AR, Epstein JM. Agent-based modeling for a complex world. Moscow: GAUGN; 2021. 74 p.
19. Mashkova AL, Bakhtizin AR. Algorithm and data structures of the agent-based model of trade wars. 2021 IEEE 15th International Conference on Application of Information and Communication Technologies; 2021; Baku. Baku: IEEE; 2021. p. 1-6. https://doi.org/10.1109/AICT52784.2021.9620279
20. Bakhtizin A, Ilin I, Nikitin N, Ershova A, Esser M. Multi-agent approach in planning and scheduling of production as part of a complex architectural solution at the enterprise. In: Jahn C, Ungvári L, Ilin I, editors. Algorithms and solutions based on computer technology. Cham: Springer; 2022. pp. 369-380. https://doi.org/10.1007/978-3-030-93872-7_30
21. Makarov VL, Wu J, Wu Z, Khabriev BR, Bakhtizin AR. World trade wars: Scenario calculations of consequences. Herald of the Russian Academy of Sciences. 2020;90(1):88-97. https://doi.org/10.1134/S1019331620010207