Forecasting the impact of economic sanctions on the economic development of Russia

Authors

V. V. Zabolotskaya
Institute of World Economics and Business, RUDN University, Russian Federation
V. A. Akinshina
Kuban State University, Russian Federation

DOI

https://doi.org/10.31429/2224042X_2024_76_40

Abstract

The article presents an overview of existing theoretical approaches to the study of the concept, types and forms of economic, trade and financial sanctions. Using regression and neural network modeling, a forecast of the impact of macroeconomic indicators (state federal budget, average annual ruble exchange rate, and assets of commercial banks) and economic sanctions on the gross domestic product of the Russian Federation is presented. It is concluded that the national economy of the Russian Federation has demonstrated high stability and rapid adaptability to new negative challenges and uncertainties caused by such environmental factors as economic sanctions and devaluation of the ruble exchange rate.

Keywords

regional economy, digital economy, digital transformation, digital maturity, digitalization of regions

Authors Info

V. V. Zabolotskaya

Candidate of Economic Sciences (Ph.D.), Associate Professor, Department of Management at Institute of World Economics and Business of RUDN University

V. A. Akinshina

Candidate of Pedagogical Sciences (Ph.D.), Associate Professor, Department of Data Analysis and Artificial Intelligence at Kuban State University

References

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Article Details

Issue

2024 · No. 4 (76)

Section

Financial Management

Publication History

Published 2024-11-28

How to Cite

[1]
Zabolotskaya V.V., Akinshina V.A. Forecasting the impact of economic sanctions on the economic development of Russia // Economics: Theory and Practice. 2024. No 4 (76). С. 40–52. DOI: 10.31429/2224042X_2024_76_40

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Copyright (c) 2025 V. V. Zabolotskaya, V. A. Akinshina

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This work is licensed under a Creative Commons Attribution 4.0 International License.