Subject. This article analyzes the trends in the indicators of the national accounts of contemporary Russia. Objectives. The article aims to determine the parameters of the changes in the measures of the national accounts of contemporary Russia to ensure the transition from a catching-up development model to an advanced one. Methods. For the study, we used a systems approach based on the methods of statistical, neural network, and cluster analyses. Results. The article highlights changes in active borrowing of public administration and households, and non-profit organizations rendering services to households. The study determines the possibilities of fixing the redistribution of income with the help of current transfers in monetary form for final consumption and savings. Conclusions. The recorded parameters of the changes in the indicators of the national accounts of contemporary Russia will help the Government to expediently and effectively link their elements to ensure the transition to an advanced model of development of the Russian economy. The provisions of the study offer members of the Government modern parameters for the transition of the Russian economy from a catching-up development model to an advanced one.
Keywords: capital transfers, national account, parameters of changes, borrowing capacity, financial transactions
References:
Vakarev A.A., Vinogradov V.V., Grishin I.A. et al. [On the issue of overcoming the COVID-19 financial crisis from the financial and monetary positions of modern Russia]. Forum. Seriya: Gumanitarnye i ekonomicheskie nauki = Forum. Series: Humanitarian and Economic Sciences, 2022, no. 2, pp. 46–48. (In Russ.)
Tembotova Z.V., Zeleneva E.S. [Ways to increase the monetization of the Russian economy]. Vektor ekonomiki, 2022, no. 3. (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 (ABS), 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
Salin V.N., Vakhrameeva M.V., Sitnikova O.Yu. [Presentation of financial assets in Russian macroeconomic statistics]. Statistika i ekonomika = Statistics and Economics, 2021, vol. 18, no. 5, pp. 14–25. (In Russ.) URL: Link
Salin V.N., Vakhrameeva M.V., Sitnikova O.Yu. [Actual problems of statistical study of economic assets in modern conditions]. Statistika i ekonomika = Statistics and Economics, 2020, vol. 17, no. 5, pp. 38–48. (In Russ.) URL: Link
Alekseev K.A. [Methodological features of GDP formation within the framework of the system of national accounts]. Statistika i ekonomika = Statistics and Economics, 2020, vol. 17, no. 2, pp. 10–17. (In Russ.) URL: Link
Nazarova A.G. [On possible macro consequences of society aging: economic and statistical analysis on the basis of national transfer accounts]. Voprosy statistiki, 2021, vol. 28, no. 3, pp. 56–69. (In Russ.) URL: Link
Ivanov Yu.N., Ponomarenko A.N., Sil'chuk A.A. [On the interpretation of the disposable household income statistical indicator]. Ekonomicheskii zhurnal Vysshei shkoly ekonomiki = Higher School of Economics. Economic Journal, 2021, vol. 25, no. 2, pp. 292–308. URL: Link (In Russ.)
Prilepskii I.V. [Impact of external currency exposures on macroeconomic policies]. Voprosy Ekonomiki, 2020, no. 8, pp. 23–40. (In Russ.) URL: Link
Kuznetsov A.V. [Imperatives for transformation of the international monetary system in the conditions of multipolarity]. Finansy: teoriya i praktika = Finance: Theory and Practice, 2022, vol. 26, no. 2, pp. 190–203. (In Russ.) URL: Link
Abramchik L.Ya., Kireeva E.Yu., Kolesnikov Yu.A. et al. [Financial law and management: Interaction and interdependencies – 2021 (Review of the Work of Financial and Legal Section "Budget, Credit and Public Administration: Interrelations, Interdependencies and Interaction". May 19, 2022, Moscow, IGSU RANEPA under the President of Russian Federation)]. Sovremennoe pravo, 2022, no. 5, pp. 156–166. (In Russ.) URL: Link
Bespalov R.A., Polozova M.S., Malyulina A.D., Madboeva K.M. [Financial system of the Russian Federation: structure, essence and current state]. Ekonomicheskie issledovaniya i razrabotki, 2022, no. 4, pp. 6–10. (In Russ.) URL: Link
