Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс:
http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/4221| Название: | Impact of Cryptocurrency Markets on Eastern European Economies: A Structural Equation Modeling Analysis |
| Авторы: | Вдовічен, Данило Анатолійович / Vdovichen, Danylo Королюк, Юрій Григорович / Koroliuk, Yurii |
| Ключевые слова: | cryptocurrency blockchain Eastern Europe structural equation modeling economic indicators |
| Дата публикации: | мар-2026 |
| Издатель: | Journal of Applied Computer Science & Mathematics |
| Библиографическое описание: | Vdovichen, 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.202601001 |
| Аннотация: | The 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. |
| Описание: | https://www.jacsm.ro/view/?pid=40_1 |
| URI: | http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/4221 |
| ISSN: | 2066-4273 |
| Располагается в коллекциях: | 06.35.51 Економіко-математичні методи та моделі |
Файлы этого ресурса:
| Файл | Описание | Размер | Формат | |
|---|---|---|---|---|
| 401.pdf | основний текст | 361.11 kB | Adobe PDF | Просмотреть/Открыть |
Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.