Digital platforms for managing financial flows of mining companies as a factor in increasing investment attractiveness of the resource regions

DOI: https://doi.org/10.30686/1609-9192-2026-2-214-221

Читать на русскоя языке A.M. Gubernatorov1, E.B. Myasnikova2, I.A. Rybina3, D.V. Savrasova4, N.N. Shchaveleva5
1 Vladimir Branch of the Financial University under the Government of the Russian Federation, Vladimir, Russian Federation
2 Tula Branch of the Financial University under the Government of the Russian Federation, Tula, Russian Federation
3 Financial University under the Government of the Russian Federation, Moscow, Russian Federation
4 Omsk Branch of the Financial University under the Government of the Russian Federation, Omsk, Russian Federation
5 Buzuluk Branch of the Financial University under the Government of the Russian Federation, Buzuluk, Russian Federation
Russian Mining Industry №2/ 2026 p. 214-221

Abstract: The mining industry of the Russian Federation accounts for 12–14% of GDP and shapes the economic profile of 28 resource-dependent constituent entities of the Federation; yet the digitalization level of financial management in the sector remains among the lowest, i.e. only 11,6% of the mining companies had adopted digital platforms by 2023. The study aims to quantitatively assess the impact of implementing digital financial flow management platforms at mining companies on the trends of investment attractiveness of the resource regions. A hypothesis is made that the regions where the share of the mining operations with integrated digital financial platforms exceeds 25% exhibit a statistically significant increase in the investment attractiveness index of at least 1,5 points during 2020–2025. The methodology combines correlation-regression analysis of the panel data across 12 resource regions of the Russian Federation, the Data Envelopment Analysis (DEA) to assess the digitalization efficiency, and the Monte Carlo scenario modeling (10,000 iterations). The empirical base encompasses data from Rosstat, corporate reports of 47 mining companies, and the NRA/Expert RA investment attractiveness ratings for 2020–2025 (72 observations). The Pearson correlation between the level of financial management digitalization and the regional investment attractiveness index is r = 0,89 (p < 0,01), with the coefficient of determination R2 = 0,79. The implementation of digital platforms ensures a 12–15% reduction in the operating costs, a 30% acceleration in the financial closing periods, and an 18–22% decrease in the transaction costs. The compound annual growth rate (CAGR) of the attractiveness index for highly digitalized regions (7,2%) exceeds that of the low-digitalized regions (0,9%) by a factor of eight. The results confirm the hypothesis and justify the need for governmental support of financial management digitalization in mining companies as a tool for reducing interregional investment inequality.

Keywords: digital platforms, financial flows, mining industry, investment attractiveness, resource regions, ERP systems, correlation-regression analysis

For citation: Gubernatorov A.M., Myasnikova E.B., Rybina I.A., Savrasova D.V., Shchaveleva N.N. Digital platforms for managing financial flows of mining companies as a factor in increasing investment attractiveness of the resource regions. Russian Mining Industry. 2026;(2):214–221. https://doi.org/10.30686/1609-9192-2026-2-214-221


Article info

Received: 15.01.2026

Revised: 19.02.2026

Accepted: 02.03.2026


Information about authors

Alexey M. Gubernatorov – Dr. Sci. (Econ.), Professor, Department of Economics and Finance, Vladimir Branch of the Financial University under the Government of the Russian Federation, Vladimir, Russian Federation; https://orcid.org/0000-0001-7695-7050; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Elena B. Myasnikova – Cand. Sci. (Econ.), Associate Professor, Head of the Department of Finance and Accounting, Tula Branch of the Financial University under the Government of the Russian Federation, Tula, Russian Federation; https://orcid.org/0000-0002-6857-2764; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Inna A. Rybina – Cand. Sci. (Econ.), Associate Professor, Department of Operational and Industry Management, Financial University under the Government of the Russian Federation, Moscow, Russian Federation; https://orcid.org/0000-0002-2157-9184; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Daria V. Savrasova – Cand. Sci. (Econ.), Associate Professor, Department of Finance and Accounting, Omsk Branch of the Financial University under the Government of the Russian Federation, Omsk, Russian Federation; https://orcid.org/0009-0002-3772-3037; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Natalia N. Shchaveleva – Director of Buzuluk Branch of the Financial University under the Government of the Russian Federation, Honorary Worker of Secondary Vocational Education, Buzuluk, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


References

1. Malinovsky S. Top 5 new mining complexes in Russia in 2025. Career and Mining Equipment. January 24, 2025. Available at: https://exkavator.ru/mining/news/inf_news/144512_top-5_novih_gornodobivayushchih_kompleksov_rossii_v_2025_godu.html (accessed: 10.02.2026). (In Russ.)

2. Tsepina A. Digitalization of the mining industry – 2024: dreams and reality. Mining Industry. 2024;(4):24–30. Available at: https://dprom.online/mining/tsefrovezatsea-dobivaushei-promishlennoste/ (accessed: 10.02.2026). (In Russ.)

3. Panina O.V., Popadyuk N.K., Eremin S.G., Tokmurzin T.M., Razumova E.V. Application of BigData technologies to optimize production processes in the Russian mining industry: analysis of implementation and efficiency. Russian Mining Industry. 2024;(6):178–185. (In Russ.) https://doi.org/10.30686/1609-9192-2024-6-178-185

4. Bukharsky V., Tirskikh T. Investment attractiveness of regions: slowdown at the end of 2024 and upcoming challenges. Expert RA; 2025. 25 p. Available at: https://raexpert.ru/docbank/629/b40/ddb/50707d0493453fdaff07fb9.pdf (accessed: 10.02.2026). (In Russ.)

5. Sarychev A.E., Semenikhin D.E. Innovative trends in the global mining industry: digitalization of management and operational processes. Economics, Entrepreneurship and Law. 2023;13(8):2897–2908. (In Russ.) https://doi.org/10.18334/epp.13.8.118702

6. Rozhdestvenskaya I.A., Belyaev A.M., Lukichev K.E., Zubenko A.V., Laffakh A.M. Development of intelligent distributed data storage and analysis systems for optimizing mining production and coal mining management. Russian Mining Industry. 2025;(2):56–64. (In Russ.) https://doi.org/10.30686/1609-9192-2025-2-56-64

7. Kharchenko K.V., Zubets A.Zh., Razumova E.V., Moskvitina E.I., Voronova E.I. Integration of distributed cloud computing to improve coal mining efficiency and monitoring of mining processes. Russian Mining Industry. 2025;(2):82–90. (In Russ.) https://doi.org/10.30686/1609-9192-2025-2-82-90

8. Kharchenko K.V., Zubets A.Zh., Moskvitina E.I., Babayan L.M., Laffakh A.M. Analysis of the effectiveness of implementing predictive maintenance of mining equipment based on Industry 4.0 technologies. Russian Mining Industry. 2024;(4):130–138. (In Russ.) https://doi.org/10.30686/1609-9192-2024-4-130-138

9. Kharchenko K.V. Improving the cluster landscape of the region as a factor of economic security. Economics, Taxes & Law. 2025;18(2):98–106. (In Russ.) https://doi.org/10.26794/1999-849X-2025-18-2-98-106

10. Krinichansky K.V., Zeleneva E.S. Fintech sector in the context of financial development and problems of its measurement. Finance: Theory and Practice. 2024;28(5):121–132. (In Russ.) https://doi.org/10.26794/2587-5671-2024-28-5-121-132

11. Shenderov V.I. Application of big data and neural networks for monitoring and forecasting environmental changes in Russia. Environmental Issues. 2024;37(1):98–127. Available at: https://grreview.ru/index.php/wej/article/view/200 (accessed: 10.02.2026). (In Russ.)

12. Pupentsova S., Laskin M., Livintsova M. Problems of digitalization of collection and analytics of enterprises’ financial information for determining industry average financial indicators. WSEAS Transactions on Business and Economics. 2024;21:2049–2060. https://doi.org/10.37394/23207.2024.21.167