Please use this identifier to cite or link to this item: http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/4221
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dc.contributor.authorВдовічен, Данило Анатолійович / Vdovichen, Danylo-
dc.contributor.authorКоролюк, Юрій Григорович / Koroliuk, Yurii-
dc.date.accessioned2026-04-15T07:37:32Z-
dc.date.available2026-04-15T07:37:32Z-
dc.date.issued2026-03-
dc.identifier.citationVdovichen, D., & Koroliuk, Y. (2026). Impact of Cryptocurrency Markets on Eastern European Economies: A Structural Equation Modeling Analysis. Journal of Applied Computer Science & Mathematics, 20(40), 3-9. https://doi.org/10.4316/JACSM.202601001uk_UK
dc.identifier.issn2066-4273-
dc.identifier.urihttp://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/4221-
dc.descriptionhttps://www.jacsm.ro/view/?pid=40_1uk_UK
dc.description.abstractThe rapid expansion of cryptocurrency markets presents both opportunities and challenges for Eastern European economies, particularly amid post-Soviet transitions and geopolitical instability. Key problems investigated include market volatility, regulatory fragmentation, informal economy overlaps, environmental costs of mining, and the vulnerability exposed by the October 2025 crypto crash, which triggered $19 billion in liquidations due to U.S.-China trade tensions. The aim of this research is to empirically evaluate the influence of cryptocurrency adoption on macroeconomic performance in the region, focusing on fostering financial inclusion and trade efficiency while mitigating risks. Research objectives encompass assessing direct and mediated effects of crypto penetration on GDP growth, inflation stability, and unemployment reduction; testing hypotheses on transaction volumes, user adoption, and Virtual Asset Service Providers (VASPs) as drivers of economic outcomes; and deriving policy insights for sustainable integration. The methodology employs Structural Equation Modeling (SEM) on a balanced panel dataset from 11 Eastern European countries (Poland, Czechia, Slovakia, Hungary, Romania, Bulgaria, Croatia, Lithuania, Latvia, Estonia, Ukraine) over 2020–2024 (N=55). Variables include Crypto_Users (%), Crypto_Transactions (billion USD), ln_VASPs, GDP (billion EUR), Inflation (%), and Unemployment (%). Data sourced from Chainalysis (2024) and Eurostat (2024) were analyzed using robust maximum-likelihood estimation with 5,000 bootstraps, incorporating country fixed effects. Model fit indices (χ² p=.168, RMSEA=.052, CFI=.968) confirm robustness. Results indicate significant positive paths from transaction volumes (β=.59, p<.001) and VASPs (β=.48, p<.001) to GDP, with partial mediation (indirect β=.16, p=.008); user adoption hedges inflation (β=.29, p=.008) but shows no unemployment impact. Conclusions underscore crypto's GDP-boosting potential (e.g., 2% uplift in Romania) amid risks, advocating harmonized regulations to balance innovation and stability in Eastern Europe.uk_UK
dc.description.sponsorshipThis research won the Excellence Award in the international student competition "Performance in Economic Education – Students Shape Tomorrow's Economy!", held on December 11–12, 2025, at the "Ștefan cel Mare" University in Suceava (USV), Romania in collaboration with the Chernivtsi Institute of Trade and Economics of State University of Trade and Economics (CHITE SUTE), Ukraine, as part of the project "LINKS BETWEEN THEORY AND PRACTICE IN CROSS-BORDER EDUCATION IN ROMANIA AND UKRAINE" (LINKSROUACBE), project ID: HUSKROUA/23/RS/3.1/043. This research and publication were carried out within the framework of the project “Links between Theory and Practice in Cross Border Education in Romania-Ukraine” – LINKSROUACBE, funded by Interreg VI-A NEXT Hungary-Slovakia-Romania Ukraine 2021-2027, ID HUSKROUA/23/RS/3.1/043. “This material was produced with the financial support of the European Union. Its contents are the sole responsibility of the lead partener and do not necessarily reflect the views of the European Union.”uk_UK
dc.language.isoenuk_UK
dc.publisherJournal of Applied Computer Science & Mathematicsuk_UK
dc.subjectcryptocurrencyuk_UK
dc.subjectblockchainuk_UK
dc.subjectEastern Europeuk_UK
dc.subjectstructural equation modelinguk_UK
dc.subjecteconomic indicatorsuk_UK
dc.titleImpact of Cryptocurrency Markets on Eastern European Economies: A Structural Equation Modeling Analysisuk_UK
dc.typeArticleuk_UK
Appears in Collections:06.35.51 Економіко-математичні методи та моделі

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