DOI: 10.33917/es-2.200.2025.62-69

The article examines key features of the economic activity of the Russian military-industrial complex (MIC). At the same time, it is substantiated that terms and concepts used in modern economic theory to characterize the activities of the defence industrial enterprises do not fully reflect the essence of the economic processes taking place in the MIC.

References: 

1. Shcheglov D.K., Pilikov N.A., Timofeev V.I. Kontseptual’nye osnovy tsifrovoy transformatsii organizatsiy oboronno-promyshlennogo kompleksa [Conceptual Foundations of Digital Transformation of Defense Industry Organizations]. Avtomatizatsiya v promyshlennosti, 2021, no 2, pp. 13–23.

2. Plotnikov V.A., Kharlamov A.V. Rossiyskiy oboronno-promyshlennyy kompleks kak faktor obespecheniya natsional’noy bezopasnosti i ustoychivogo sotsial’noekonomicheskogo razvitiya [The Russian Military-industrial Complex as a Factor in Ensuring National Security and Sustainable Socio-economic Development]. Ekonomika i upravlenie, 2017, no 11, pp. 53–60.

3. Shapoval E.V., Shelest M.V. Oboronno-promyshlennyy kompleks v sovremennoy ekonomike Rossii [The Military-industrial Complex in the Modern Economy of Russia]. Vestnik Gosudarstvennogo universiteta upravleniya, 2015, no 1, pp. 116–122.

4. Ovchinnikova A.V., Matveev V.V. Razvitie oboronno-promyshlennogo kompleksa Rossii i obespechenie konkurentosposobnosti natsional’noy ekonomiki [Development of the Russian Military-industrial Complex and Ensuring the Competitiveness of the National Economy]. Vestnik Yuzhno-Ural’skogo gosudarstvennogo universiteta, Seriya: Ekonomika i menedzhment, 2021, no 15(2), pp. 99–105.

5. Kazantsev S.V. Znachenie oboronno-promyshlennogo kompleksa dlya pod”ema rossiyskoy ekonomiki [The Importance of the Military-Industrial Complex for the Boom of the Russian Economy]. Finansovyy zhurnal, 2014, no 1, pp. 45–52.

6. Shcherbakov G.V. Tochki Laffera, zona fiskal’nykh protivorechiy i stepen’ soglasiya nalogoplatel’shchikov [Laffer Points, the Zone of Fiscal Contradictions and the Degree of Taxpayer Agreement]. Vestnik Rossiyskogo universiteta druzhby narodov, Seriya: Ekonomika, 2019, no 27(1), pp. 49–62.

7. Polozhikhina M.A. Evolyutsiya obshchestva potrebleniya: ot Zhaklin Kennedi do Grety Tunberg [The Evolution of Consumer Society: From Jacqueline Kennedy to Greta Thunberg]. Sotsial’nye novatsii i sotsial’nye nauki, 2020, no 2(2), pp. 7–36.

8. Byatets I.V. Vliyanie riska na pribyl’ predpriyatiya [The Impact of Risk on Enterprise Profits]. Vestnik Udmurtskogo universiteta, Seriya: Ekonomika i pravo, 2011, no 1, pp. 28–30.

9. Eroshin S.E. Parametricheskiy monitoring predpriyatiy oboronno-promyshlennykh ob”edineniy: Avtoref. dis…. d-ra ekon. nauk: 5.2.3 [Parametric Monitoring of Enterprises of Defense-industrial Associations: Abstract of dis…. Doctor of Economics: 5.2.3]. Moskovskiy gosudarstvennyy universitet. Moscow, 2023, 49 p.

10. Shcheglov D.K., Saybel’ A.G. Formalizovannyy podkhod k prognozirovaniyu srokov i stoimosti razrabotki voenno-tekhnicheskikh system [A Formalized Approach to Forecasting the Timing and Cost of Developing Military-technical Systems]. Oboronnyy kompleks — nauchno-tekhnicheskomu progressu Rossii, 2022, no 3(155), pp. 33–44.

DOI: 10.33917/mic-2.103.2022.58-64

The article considers the issue of forming the optimal structure of assets of manufacturing enterprises according to the goals of their owners. An original approach is proposed to optimize the structure of the company’s assets according to the criterion of maximizing their effectiveness for owners through the enterprise capitalization indicator.

To link the indicators of capitalization and profit from the existing assets of manufacturing enterprises of the manufacturing industry, the authors propose to create a multiple regression model, where the independent variable is capitalization (profit), the dependent ones are indicators of specific assets.

After finding the contributions (regression coefficients) of each asset, we propose to form their structure according to the principle of a portfolio approach, in which the efficiency indicator of all assets will strive to the maximum and at the same time the specific features of the enterprise in each case will be taken into account [10].

References:

1. Azrilinyan A.N. Big Economic Dictionary. M.: Institute of New Economics, 1997. (In Russ.).

2. Bezpalov V.V., Dorofeev A.Yu., Gorin D.S., Marien L.S. Designing stages of anti-crisis organizational engineering of agricultural enterprises within the universal management cycle. Journal of Applied Research. 2021;1(4):22-35. (In Russ.).

3. Blazhevich O.G. Turnover indicators and their significance for assessing the efficiency of asset use // Scientific Bulletin: Finance, Banks, Investments. 2018;4 (45):31-38. (In Russ.).

4. Brigham Yu., Erhardt M. Financial management: St. Petersburg: Peter, 2009. (In Russ.).

5. Voloshchuk L.A., Tkachev S.I., Monina O.Yu. Statistics. Educational and practical manual: Saratov, 2016. (In Russ.).

6. Van Horn D., Vakhovich D. Fundamentals of Financial Management: M.: Dialectics, 2020. (In Russ.).

7. Dorofeev A.Yu., Filatov V.V., Medvedev V.M., Shestov A.V., Fadeev A.S. Methodology for calculating the discount rate using the capital asset valuation model. Online journal of Science Studies. 2015;7(2 (27)):18. (In Russ.).

8. Mukhidov R.H., Simonova V.A., Filatov V.V. Initial public offering of securities as a financial instrument of Russian corporations for attracting investments // Collection of scientific papers Actual issues of economics, commerce and service, Kosygin Russian State University, 2021. pp. 124-128. (In Russ.).

9. Samuelson P., Nordhaus U. Economics: M: Williams, 2018. (In Russ.).

10. Simonova V.A. Methods of optimization of technological assets of business processes of industrial enterprises // Transport business of Russia. 2010;5:68-71. (In Russ.).

11. Simonova V.A. Efficiency assessment and optimization of business processes of food industry enterprises // Economics, statistics and computer science. Bulletin of UMO. 2012;2:177-183. (In Russ.).

12. Simonova V.A., Tomm V.A. Normative values of financial coefficients as a basis for the formation of the balance sheet structure of industrial enterprises // Modern humanitarian studies. 2013;4 (53):29-34. (In Russ.).

DOI: 10.33917/mic-3.98.2021.5-14

The purpose of this work is to prepare proposals for the use of simulation methods for solving the problems of planning and forecasting the financial results of credit institutions. The article addresses the following issues: 1) an analysis of the activities of credit institutions of the Russian Federation was carried out, based on the results of which “pain points” were identified – unresolved problems, including the management of overdue loan debt; 2) the feasibility of using simulation modeling methods for the development of scenarios for the development of commercial banks was justified; 3) an approach based on simulation modeling was proposed to determine the impact of the amount of overdue debt on the indicators and economic standards of activity.

The mechanism of macroeconomic quasi-stabilization is found, although its main features are not yet fully understood by the world economic community.