Кафедра міжнародних економічних відносин
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Перегляд Кафедра міжнародних економічних відносин за Автор "Hrytsyna, Lesia"
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Документ Comparative analysis of the customs regulation of vehicle import in the G20 countries(Baltic Journal of Economic Studies, 2019) Hrytsyna, Lesia; Kharun, Olena; Dzuba, MargarytaThe purpose of this article is to conduct a comparative analysis of customs regulation procedures for the import of vehicles operating in the G20 countries, to determine the possibility of adapting and using their experience in order to improve the customs procedure in force in Ukraine. Since most researches of Ukrainian scientists mainly concern the adaptation of existing customs procedures to the requirements of the Ukraine– EU Association Agreement and the search for ways to solve the problem of shadow schemes of vehicle import, the selected research purpose is relevant. The subject-matter of the study is the procedures for customs regulation of the import of vehicles of the G20 countries. Methodology. To achieve this purpose, a set of general scientiic methods was used that ensure the objectivity and validity of the results obtained, namely, methods of abstraction, comparison, analysis and synthesis, generalization. Results. The research results showed that Ukraine is far behind the leading countries in terms of implementing the standards of environmental and technical safety of imported vehicles. If compliance with the requirements of environmental safety, namely compliance with European standards, is still taken into account when importing, then the issues of technical safety are not regulated by the current customs procedure. Secondly, the system of taxes and payments that are paid in Ukraine upon importation, namely duty, excise duty, and VAT, does not provide for compensation for the negative impact of imported vehicles on the environment. Thirdly, comparing the practice of temporary importation of vehicles operating in the G20 countries and Ukraine has allowed highlighting a number of inconsistencies. So, in the G20 countries, only non-residents can use this regime in the vast majority. Citizens of the country are entitled to temporary admission only if strictly deined requirements are met. However, unlike Ukrainian practice, the very procedure for temporary admission implies the absence of requirements for payment of customs duties and other payments, regardless of whether the person who uses it is a resident or non-resident of the country. Practical signiicance. The conclusions made allow proposing the necessity to amend the current procedure by introducing the practice of conirming the conformity of imported vehicles with the technical requirements for their operation, increasing the tax burden on vehicles with low environmental eiciency, settling the issue of the availability of the regime of temporary admission of vehicles and strengthening control over compliance with this regime. Relevance/originality. Proposals for the adaptation and use of the experience of the leading countries in the ield of customs regulation of import of vehicles are a way to prevent the negative phenomena in Ukraine in this area.Документ Machine Learning Models for Predicting Migrant Remittance Flows: A Cross-Border Financial Analysis(CEUR, 2026-02-07) Dumanska, Ilona; Kuzmin, Andrii; Levashenko, Vitaly; Lysak, Viktor; Hrytsyna, LesiaThe paper proposes a machine learning framework for forecasting migrant remittance flows, focusing on the Ukraine–Poland corridor during 2022–2025. The methodology integrates diverse data sources— migration volumes, conflict intensity indices, exchange rates, host-country employment rates, and social sentiment—into a unified time-series dataset. Four models are evaluated: Linear Regression (baseline), Random Forest, XGBoost, and LSTM. LSTM is expected to outperform others due to its ability to capture long-term dependencies and crisis-driven shocks. Feature-importance analysis will likely highlight migration volume, employment rate, and exchange rate as key predictors, while sentiment data should enhance short-term responsiveness. The case study illustrates how remittance flows correlate with refugee inflows, labor integration, and policy interventions. Overall, the framework shows the potential of deep learning and ensemble methods to improve forecasting under humanitarian and economic stress.Документ The Impact of Blockchain Technology on the Scenario Development of a Logistics Enterprise(2022-11) Dumanska, Ilona; Vasylkivskyi, Dmytro; Hrytsyna, Lesia; Khmelevskyi, Oleg; Kharun, OlenaThe article reveals the essence and tools of Blockchain IT technology from the point of view of digitalization of a typical logistics enterprise. Examples of the use of Blockchain by leading companies are given. The advantages of using Blockchain in the process of managing supply chains are analyzed. An assessment of the economic effect of the practical implementation of project proposals for the introduction of Blockchain at a logistics enterprise was carried out under a pessimistic, realistic and optimistic scenario, taking into account the time saving factor.