Influencing Factors Analysis on European and World Regional Economies Development Caused by War in Ukraine Based on Multi-Criteria Decision-Making Theory
Autor(en): | Vysotska, Victoria Bublyk, Myroslava Matseliukh, Yurii Shevchenko, Maryna Panasyuk, Valentyna Karpyn, Dmytro |
Herausgeber: | Emmerich, M. Leiden University Leiden Institute of Advanced Computer Science Niels Bohrweg 1 Leiden Vysotska, V. Osnabruck University Friedrich-Janssen-Str. 1 Osnabruck Lytvynenko, V. Kherson National Technical University Beryslavske Shosse 24 Kherson |
Stichwörter: | cluster analysis; Computation theory; correlation analysis; Correlation methods; Costs; Decision making; Decision theory; dollar; Economic analysis; Economic and social effects; economic crisis; economic indicators; economic risks; euro; Factor analysis; GDP; gold; Japanese yen; MCDM; migration; Multi criteria decision-making; Multi-criteria decision-making; Multicriteria decision-making; Multicriterion decision makings; Risk assessment; the hryvnia; wheat | Erscheinungsdatum: | 2023 | Herausgeber: | CEUR-WS | Journal: | CEUR Workshop Proceedings | Volumen: | 3426 | Startseite: | 458 – 487 | Zusammenfassung: | The paper examines the level of unfavorable factors influencing the indicators of the development of the economies of Europe and the world, which were caused by the war in Ukraine. Taking into account the consequences of the war in Ukraine were considered from various points of view: economic, social, political, environmental, etc. The catastrophic consequences of the war in Ukraine negatively affected and continue to affect the development of European economies. The paper found that the rate of economic growth is rapidly decreasing, especially in Eastern European countries. The studied forecasts indicate a high probability of signs of recession in the countries of Eastern Europe. Under the influence of the war in Ukraine, the article identifies the signs of a migration crisis and a rapid increase in prices for necessities. Among the adverse impact criteria, which are recommended to be taken into account by the governments of the countries in the process of making management decisions, the volatility of prices for wheat, gold and gas, as well as fluctuations in the exchange rates of the dollar and the yen to the euro, are highlighted. It is recommended to consider the amount of 400 billion US dollars given in the report of the World Bank as a tenfold underestimated value when assessing the scale of damage caused to the economy of Ukraine. It is substantiated that the computational methods (cluster analysis, correlation analysis, etc.) used in the work are sufficient for determining the level of adverse effects of the factors of the war in Ukraine on the indicators of the development of the economies of the countries of Europe and the world. © 2023 Copyright for this paper by its authors. |
Beschreibung: | Cited by: 0; Conference name: 2023 Modern Machine Learning Technologies and Data Science Workshop, MoMLeT and DS 2023; Conference date: 3 June 2023; Conference code: 189914 |
ISSN: | 1613-0073 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164951233&partnerID=40&md5=3b89cfe8bba0eae7840445750892f25d |
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