Assessment of the Prospects for Bankruptcy of Industrial Sectors of the Sverdlovsk Region
https://doi.org/10.26794/2587-5671-2024-28-4-181-192
Abstract
The subject of the study is the assessment of the financial viability of industrial enterprises.
The purpose of the paper is to develop a methodological approach to assessing the prospects for bankruptcy of enterprises in various industries in
territorial systems and testing it on the example of an industrially developed region.
The relevance of the study is due to the fact that in the conditions of significant sanctions pressure on the Russian economy, narrowing of the markets of sale of produced products and disturbance of logistics chains, restrictions on the import of high-tech equipment, Russian enterprises face problems of shortage of operating funds, non-liquidity of assets, high levels of debt.
The significant deterioration in the financial situation of enterprises, that is currently observed, creates the prospects for bankruptcy of entire industries, which creates threats to the socio-economic development of territorial systems.
The novelty of the study is the author’s methodological approach to assessing the prospects for bankruptcy of industrial sectors, based on the use of multidimensional discriminant analysis of the financial viability of not individual enterprises, but of industrial sectors as a whole to determine sectoral priorities for state support for their development.
General scientific and empirical methods, multivariate discriminant analysis were used. During testing of the developed methodological approach using the example of the Sverdlovsk region, the following results were obtained: currently, the risks of bankruptcy of enterprises in the entire industrial complex of the Sverdlovsk region are significantly increasing; The Altman curve has approached a critical threshold value, indicating a high level of probability of enterprise bankruptcy. It was concluded that in the Sverdlovsk region, enterprises in the food production, electrical equipment, chemical production and mineral mining industries are in the most critical condition. Increased risks of loss of financial viability are observed in the industries of metallurgical production, production of finished metal products, as well as other non-metallic mineral products, production and distribution of electricity, gas and water, which dominate the industry structure of the region. These industries require government support in the implementation of industrial policy at the federal and regional levels.
Keywords
JEL: G33
About the Authors
I. V. NaumovRussian Federation
Ilya V. Naumov, Cand. Sci. (Econ.), Assoc. Prof., Head of the Laboratory
Laboratory for Modelling of Spatial Development of Territories
Yekaterinburg
Competing Interests:
The authors have no confl icts of interest to declare
A. A. Bychkova
Russian Federation
Anna A. Bychkova, Junior Researcher
Laboratory for Modelling of Spatial Development of Territories
Yekaterinburg
Competing Interests:
The authors have no confl icts of interest to declare
N. L. Nikulina
Russian Federation
Natalia L. Nikulina, Cand. Sci. (Econ.), Senior Researcher
Laboratory for Modelling of Spatial Development of Territories
Yekaterinburg
Competing Interests:
The authors have no confl icts of interest to declare
V. M. Sedelnikov
Russian Federation
Vladislav M. Sedelnikov, Junior Researcher
Laboratory for Modelling of Spatial Development of Territories
Yekaterinburg
Competing Interests:
The authors have no confl icts of interest to declare
References
1. Fyodorov V. M., Grisko A. S. Predicative model of pre-empting crises at industrial enterprises of machine-building complex in the Omsk region on the basis of multiple discriminant analysis. Rossiiskoe predprinimatel’stvo = Russian Journal of Entrepreneurship. 2010;(1–1):66–70. (In Russ.)
2. Altman E. I. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance. 1968;23(4):589–609. DOI: 10.1111/j.1540–6261.1968.tb00843.x
3. L’vova N. A. Financial diagnostics of Russian enterprises with the Altman’s model application for developed and emerging markets. Finansovaya analitika: problemy i resheniya = Financial Analytics: Science and Experience. 2015;(7):37–45. (In Russ.).
4. Popov V. B., Kadyrov E. Sh. Analysis of models for predicting the probability of bankruptcy of enterprises. Uchenye zapiski Tavricheskogo natsional’nogo universiteta im. V. I. Vernadskogo. Seriya: Ekonomika i upravlenie = Scientific Notes of the Tauride National University named after V. I. Vernadsky. Series: Economics and Management. 2014;27(1):118–128. (In Russ.).
5. Beaver W. H. Financial ratios as predictors of failure. Journal of Accounting Research. 1966;4:71–111. DOI: 10.2307/2490171
6. Taffler R. J., Tisshaw H. Going, going, gone — four factors which predict. Accountancy. 1977;88(3):50–54.
7. Fedotova M. A. How to assess the financial stability of an enterprise. Finansy = Finance. 1995;(6):13–16. (In Russ.).
8. Zaitseva O. P. Anti-crisis management in a Russian company. Sibirskaya finansovaya shkola = Siberian Financial School. 1998;(11–12):66–73. (In Russ.).
9. Sharma R. K., Bhalla N. Insolvency prediction model of the Indian information technology companies using multiple discriminant analysis: The case of the Republic of India. In: India Finance Conference (Kolkata, December 19–21, 2019). Kolkata: Indian Finance Association; 2019.
10. Kopczyński P. Bankruptcy risk assessment of Polish listed companies using Asian multiple discriminant analysis models. Zeszyty Teoretyczne Rachunkowości. 2022;46(2):69–96. DOI: 10.5604/01.3001.0015.8810
11. Verma D., Raju S. Predicting corporate defaults using multiple discriminant analysis. CASS Studies. 2019;3(2):1–19. URL: https://onlinejournals-heb.pen-nic.in/cass/admin/freePDF/qwe23cmok7mgp2zf68tn.pdf
Review
For citations:
Naumov I.V., Bychkova A.A., Nikulina N.L., Sedelnikov V.M. Assessment of the Prospects for Bankruptcy of Industrial Sectors of the Sverdlovsk Region. Finance: Theory and Practice. 2024;28(4):181-192. https://doi.org/10.26794/2587-5671-2024-28-4-181-192