“Assessment of the Migration Processes Impact as a Result of the War in Ukraine on the International Trade of the Visegrád Group Countries”

Výzkumná osa č. 3 – Přemístění, vykořenění, odchýlení: lidé, vědění, praktiky

My research interests lie in the applied use of mathematical methods for the study of economic systems at various management levels. One of my research directions is the modelling of international trade.

During my dissertation research, I conducted an in-depth analysis of international trade, particularly focusing on the application of various models and methods to identify relationships between its key indicators. My scientific works include the analysis of international trade dynamics within the European Union, the application of artificial neural networks for export and import forecasting, and the development of multifactor models for studying EU countries’ trade. Additionally, I have applied mathematical models to assess trade in Ukrainian regions.

In one of my recent works, which has been peer-reviewed and accepted for the 14th International Conference on Advanced Computer Information Technologies, I explore the forecasting of key international trade indicators for the European Union using hybrid models. This work employs approaches that combine various forecasting methods, such as statistical models, machine learning, and econometric methods. The study investigates the impact of external factors on EU international trade and develops hybrid models that account for these influences.

CV

Nataliia Dziubanovska, Dr. Sc. (Economics), Professor at the Department of Applied Mathematics, West Ukrainian National University, Ternopil, Ukraine.

I obtained my Doctorate in Economic Sciences in 2021 with a dissertation focused on methods and models for measuring and evaluating international trade among countries. In 2023, I was awarded the title of Professor at the Department of Applied Mathematics at West Ukrainian National University. Earlier, in 2015, I earned my Ph.D. in Economics with a dissertation on modelling bank credit and deposit policy. I also hold two Master’s degrees (equivalent to Specialist Diplomas): one in Banking (2007), and another in Pedagogy and Methods of Secondary Education, Mathematics, and Basics of Informatics (2006).

Výběr publikací

• Dziubanovska N., Maslii V., Krysovatyy A., Desyatnyuk O., Drelich-Skulska B. (2023). The Effects of Digital Economy on International Trade: An Empirical Analysis of EU Countries Panel Data. 13th International Conference on Advanced Computer Information Technologies (ACIT)’2023. Wroclaw, Poland, 21-23 September, 2023. P. 216-219. DOI: https://doi.org/10.1109/ACIT58437.2023.10275723
• Slyvka, O., Dziubanovska, N., Maslii, V. (2023). Empirical approaches to assessing the convergence of regions in Ukraine based on the volumes of foreign direct investments attracted. Scientific works of the Interregional Academy of Personnel Management. Economic sciences. 2023. 2 (69), 2023. P. 104–110. DOI: https://doi.org/10.32689/2523-4536/69-14.
• Dziubanovska, N., Maslii, V. (2023). Tools of augmented and virtual reality as elements of the strategy of attracting foreign direct investment. 7th International scientific and practical conference «Strategies and innovations: current management practices». Kryvyi Rih, 2023. Р. 126-128.
• Dziubanovska, N., Maslii, V. (2023). Internet banking in EU countries: trends and prospects. International scientific and practical conference «Imperatives of economic growth in the context of the implementation of global goals of sustainable development». Kyiv, 2023. Р. 165-168.
• Dziubanovska, N., Maslii, V. (2023). Evaluation of the foreign direct investments impact on the revenues of local budgets in Ukraine. Еconomy and society. 2023. №49. URL: https://economyandsociety.in.ua/index.php/journal/article/view/2340 DOI: https://doi.org/10.32782/2524-0072/2023-49-48.
• Dziubanovska, N., Maslii, V. (2023). Foreign direct investments and their impact on the finances of economic entities: a theoretical aspect. International scientific and practical conference «Transformational processes of the national economy in today’s conditions». Kyiv, 2023. Р. 122-125.
• Dziubanovska, N., Maslii, V., Lytvyn, Z. (2023). Multifactor models for studying the impact of investment activities of enterprises on their profitability: case of Ukraine. Access to science, business, innovation in digital economy, ACCESS Press, 4(1): 7-23. DOI: https://doi.org/10.46656/access.2023.4.1(1).
• N. Dziubanovska, V. Maslii (2023). Digital Economy and Foreign Investment Processes of EU Countries: Analytical Aspect. Ekonomichnyy analiz, Vol 33, No 1. pp. 278–287. DOI: https://doi.org/10.35774/econa2023.01.278.
• Dziubanovska N., Maslii V., Lytvyn Z., Blyask V. (2022). An approach to the analysis of the intensity of the dynamics of international trade on the example of the countries of the European Union. Statistics of Ukraine. 2022. № 2. P. 73–84. DOI: https://doi.org/10.31767/su.2(97)2022.02.08.
• Dziubanovska N., Maslii V. (2022). The Assessment of the Impact Investments on the Economic Development of Ukraine Based on Panel Data // 2022 12th International Conference on Advanced Computer Information Technologies (ACIT), 2022, pp. 231-234. DOI: https://doi.org/10.1109/ACIT54803.2022.9913200.
• M. R. Luchko, N. Dziubanovska and O. Arzamasova (2021). Artificial Neural Networks in Export and Import Forecasting: An Analysis of Opportunities. 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), pp. 916-923. DOI: https://doi.org/10.1109/IDAACS53288.2021.9660856.
• Dziubanovska, N. (2019). Multifactor models for studying the EU countries’ international trade. Economic Annals-XXI (2019), 175(1-2), 29-34. DOI: https://doi.org/10.21003/ea.V175-05.
• Dziubanovska, Nataliia. (2019). MAR Splines models for evaluation of Ukrainian regions’ trade. State and regions. Series: Economics and Business. DOI: https://doi.org/10.32840/1814-1161/2019-6-24.
• Dziubanovska, N., Yeromenko, V., Seniv, H. (2019). The application of binary classification methods for evaluation of international trade. Intellect