Subject. The article considers the impact of sanctions on various sectors of the Russian economy. Objectives. The focus is on the analysis of risks of the Russian economy destabilization. Methods. The study employs methods of statistical, neural network, and cluster analysis. Results. I highlight important and significant indicators determining the current economic situation in Russia. They include overdue wage arrears, consumer price index, indices of physical volume of GDP and industrial production, funds on escrow accounts of individuals. Conclusions. The results of the study can be used in the development of programs for structural transformation of the Russian economy.
Keywords: indicator, transformation, structure
References:
Krupnov Yu.A., Zolotarev E.V., Troshin D.V., Eremin V.V. [Conservative approach to threat and risk assessment in the implementation of national development goals]. Natsional'nye interesy: prioritety i bezopasnost' = National Interests: Priorities and Security, 2022, vol. 18, iss. 6, pp. 1012–1038. (In Russ.) URL: Link
Gladyshevskii V.L., Gorgola E.V., Tsyrendorzhiev S.R. [What kind of war against Russia are enemies of the Russian State preparing for?] Natsional'nye interesy: prioritety i bezopasnost' = National Interests: Priorities and Security, 2022, vol. 18, iss. 1, pp. 66–91. (In Russ.) URL: Link
Abramchikova N.V. [Risk forecasting for the Russian economic sectors in the context of sanctions ramp-up]. Natsional'nye interesy: prioritety i bezopasnost' = National Interests: Priorities and Security, 2022, vol. 18, iss. 7, pp. 1338–1353. (In Russ.) URL: Link
King A.P., Eckersley R.J. Chapter 1: Descriptive Statistics I: Univariate Statistics. In: Statistics for Biomedical Engineers and Scientists: How to Visualize and Analyze Data. Academic Press, 2019, pp. 1–21. URL: Link
Brownstein N.C., Adolfsson A., Ackerman M. Descriptive Statistics and Visualization of Data from the R Datasets Package with Implications for Clusterability. Data in Brief, 2019, vol. 25, no. 104004. URL: Link
Fávero L.P., Belfiore P. Chapter 3: Univariate Descriptive Statistics. In: Data Science for Business and Decision Making. Academic Press, 2019, pp. 21–91. URL: Link
Urlacher B.R. Complexity, Causality, and Control in Statistical Modeling. American Behavioral Scientist, 2020, vol. 64, iss. 1, pp. 55–73. URL: Link
Fávero L.P., Belfiore P. Chapter 11: Cluster Analysis. In: Data Science for Business and Decision Making. Academic Press, 2019, pp. 311–382. URL: Link
Adolfsson A., Ackerman M., Brownstein N.C. To Cluster, or Not to Cluster: An Analysis of Clusterability Methods. Pattern Recognition, 2019, vol. 88, pp. 13–26. URL: Link
Izmailova M.O. [Mineral extraction tax: Place and role in the Tax System of the Russian Federation]. Nalogi i nalogooblozhenie = Taxes and Taxation, 2022, no. 3, pp. 53–68. (In Russ.) URL: Link
Beilin I.L. [Economic development of the oil and gas region on the basis of interregional integration on turnover and financial result of production organizations]. Problemy ekonomiki i upravleniya neftegazovym kompleksom = Problems of Economics and Management of Oil and Gas Complex, 2022, no. 3, pp. 18–27. (In Russ.) URL: Link-18-27
Kuzina E.S. [Approaches to the formation of raw capital in Russia]. Nauchno-analiticheskii zhurnal Nauka i praktika Rossiiskogo ekonomicheskogo universiteta im. G.V. Plekhanova = Science and Practice, 2022, vol. 14, no. 2, pp. 43–49. URL: Link (In Russ.)
Gubanov R.S. [Development of mining companies in the Arctic zone of the Russian Federation: conditions and risks]. Ugol' = Russian Coal Journal, 2022, no. 5, pp. 49–54. (In Russ.) URL: Link
Kaukin A.S., Miller E.M. [Industrial production dynamics in Q4 2021]. Ekonomicheskoe razvitie Rossii = Russian Economic Developments, 2022, vol. 29, no. 2, pp. 20–25. URL: Link (In Russ.)
Kaukin A.S., Miller E.M. [Industrial production dynamics in Q1 2022] Ekonomicheskoe razvitie Rossii = Russian Economic Developments, 2022, vol. 29, no. 6, pp. 29–33. URL: Link (In Russ.)
Akhmadov M-E.I., Khlebnikov K.V., Yakubov T.V. [Analysis of the development of the industrial complex of the Chechen Republic: Search for possible “points of growth”]. Vestnik GGNTU. Gumanitarnye i sotsial'no-ekonomicheskie nauki = Herald of GSOTU. Humanitarian, Social and Economical Sciences, 2022, vol. 18, no. 1, pp. 5–13. (In Russ.) URL: Link
Xie Xiaowen. [Analysis of the trends in the development of the manufacturing industry under the conditions of the fourth industrial revolution]. Finansovaya ekonomika = Financial Economy, 2022, no. 4, pp. 149–154. (In Russ.)
Chikanova E.S. [Investment attractiveness of the Russian industrial sector in the new reality]. Vestnik Volgogradskogo gosudarstvennogo universiteta. Ekonomika = Journal of Volgograd State University. Economics, 2022, vol. 24, no. 1, pp. 34–42. URL: Link (In Russ.)
Vlasova O.V., Skoblikova T.V., Zmakina N.D. [The impact of political and economic sanctions on the investment climate in Russia]. Vestnik Altaiskoi akademii ekonomiki i prava = Bulletin of the Altai Academy of Economics and Law, 2022, vol. 5, part 3, pp. 337–343. (In Russ.) URL: Link
