COAL MARKET

Original paper

UDC 338.242.4:622.271 N.P. Pazdnikova, A.D. Neroslov, A.V. Bobkov, 2025

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2025, № 6, pp. 58-61

DOI: http://dx.doi.org/10.18796/0041-5790-2025-6-58-61

Title

ANALYSING THE STATE AND PROSPECTS OF DEVELOPMENT OF THE COAL INDUSTRY IN RUSSIA

Authors

N.P. Pazdnikova, A.D. Neroslov, A.V. Bobkov

Perm National Research Polytechnic University, Perm, 614990, Russian Federation e-mail: pazdnikovan@mail.ru

Authors Information

• Pazdnikova N.P. – Doctor of Economic Sciences, Professor, Associate Professor, Perm National Research Polytechnic University, Perm, 614990, Russian Federation, e-mail: pazdnikovan@mail.ru
• Neroslov A.D. – Junior Researcher, Perm National Research Polytechnic University, Perm, 614990, Russian Federation, e-mail: leha.neroslov.95@mail.ru
• Bobkov A.V. – PhD, Associate Professor, Perm National Research Polytechnic University, Perm, 614990, Russian Federation, e-mail: bobkovav@yandex.ru

Abstract

The presented article is devoted to the analysis of the current state of the coal industry of the Russian Federation in the period from 2016 to 2024. The purpose of the study is to assess the dynamics of coal production volumes, investment in fixed capital and profitability of coal companies, as well as to identify the key risks and threats affecting the economic situation in the industry. The work uses statistical data and information from open sources, including data from the Central Dispatch Office of the Fuel and Energy Complex and reports of enterprises. The interrelationships between production volumes, investments and profitability were analysed, and the impact of export duties, railway tariffs, sanctions and price fluctuations on the world coal market was assessed. The results of the study revealed complex dynamics and lack of direct correlation between investment and production growth, as well as the dependence of profitability on external factors. Conclusions were drawn on the need to optimise investment policy and adapt to changing market conditions.

Keywords

Coal industry, coal mining, investments, profitability, risks, export duties, railway tariffs, energy market.

References

1. Konyuhov V.Yu., Konstantinova M.V., Gladkih A.M. Determination of restored units spectrum of equipment and development of the assembly unit repair method at industrial enterprises. Journal of Physics: Conference Series. 2019;1353(1):012047.
2. Pryalukhin A.F., Malozyomov B.V., Martyushev N.V., Daus Y.V., Konyukhov V.Yu., Oparina T.A., Dubrovin R.G. Simulation Modeling of Energy Efficiency of Electric Dump Truck Use Depending on the Operating Cycle. World Electr. Veh. J. 2025;(16):217. DOI: 10.3390/wevj16040217.
3. Batukhtin A.G., Makhov E.A., Bass M.S., Batukhtin S.G. Enhancing aerodynamic efficiency in solid fuel plasma preparation for power plants. International Journal on Technical and Physical Problems of Engineering. 2023;15(57):351-361.
4. Yelemessov K.K., Isametova M.E., Saidinbayeva N.D., Kukartsev V.V. Mathematical and computer modeling of gantry crane load-beam system oscillation. Sustainable Development of Mountain Territories. 2023;15(2):450-461. https://doi.org/10.21177/1998-4502-2023-15-2-450-461.
5. Kolenchukov O.A., Mikhaulov A.Y., Bashmur K.A., Tynchenko V.S., Sergienko R.B., Kukartsev V.V., Tynchenko V.V. Forecasting the technical condition of thermochemical reactor systems. SOCAR Proceedings. 2023;2023(1):123-130. https://doi.org/10.5510/OGP20230100814.
6. Chernykh N., Mikhalev A., Dmitriev V., Tynchenko V., Shutkina E. Comparative Analysis of Existing Measures to Reduce Road Accidents in Western Europe. 22nd International Symposium INFOTEHJAHORINA, INFOTEH 2023, East Sarajevo, Bosnia and Herzegovina. 2023:1-6. https://doi.org/10.1109/INFOTEH57020.2023.10094192.
7. Podoprigora D.G., Sabukevich V.S., Korobov G.Y., Nguen V.T. Justification of Developed System Measures to Increase Productivity of Wells in Eastern Part of Pechora Sea Oil Field. International Journal of Engineering. 2024;37(11):2303-2313. DOI: 10.5829/ije.2024.37.11b.15.
8. Myrzakulov M.K., Dzhumankulova S.K., Yelemessov K.K., Barmenshinova M.B., Martyushev N.V., Skeeba V.Y., Kondratiev V.V., Karlina A.I. Analysis of the Effect of Fluxing Additives in the Production of Titanium Slags in Laboratory Conditions. Metals. 2024;(14):1320. DOI: 10.3390/met14121320.
9. Batukhtin A. Obtaining a solution of a differential equations system for determining the heat networks retention. International Journal of Mechanical Engineering and Technology. 2018;9(7):1300-1320.
10. Suprun E., Tynchenko V., Khramkov V., Kovalev G., Soloveva T. The use of artificial intelligence to diagnose the disease. BIO Web of Conferences. 2024;(84):01008. https://doi.org/10.1051/bioconf/20248401008.
11. Rogova D., Kurashkin S., Tynchenko V., Seregin Y., Privalov A., Kukartsev V. Comprehensive review of state-of-the-art intelligent methods for videosequences analysis. AIP Conference Proceedings. 2023;(2700):040046. https://doi.org/10.1063/5.0124865.
12. Adigamov R.R., Baraboshkin K.A., Mishnev P.A., Karlina A.I. Development of rolling procedures for pipes of K55 strength class at the laboratorial mill. CIS Iron and Steel Review. 2022;(24):60-66. DOI: 10.17580/cisisr.2022.02.09.
13. Kravtsov K., Tynchenko V., Semenova E., Shalaeva D., Pinchuk I. Workflow automation and performance improvement based on PostgreSQL. E3S Web of Conferences. 2023;(458):09022. https://doi.org/10.1051/e3sconf/202345809022.
14. Kukartsev V., Saidov N., Stupin A., Shagaeva O., Antamoshkina O., Korpacheva L. Prototype Technology Decision Support System for the EBW Process. Lecture Notes in Networks and Systems. 2023;(596 LNNS):456-466. https://doi.org/10.1007/978-3-031-21435-6_39.
15. Rikker Y., Kobylkin M., Batukhtin A., Akimov I., Darbinyan Z. Development of Sampling Technology for Determination of Benz(a)pyrene Concentration in Industrial Emissions. AIP Conference Proceedings. 2022;(2767):020013.
16. Tynchenko Ya.A., Kukartsev V.V., Gladkov A.A., Panfilova T.A. Assessment of technical water quality in mining based on machine learning methods. Sustainable Development of Mountain Territories. 2024;16(1):56-69. https://doi.org/10.21177/1998-4502-2024-16-1-56-69.

Acknowledgements

This research was supported by the Ministry of Science and Higher Education of Russian Federation (Project FSNM-2024-0005)

For citation

Pazdnikova N.P., Neroslov A.D., Bobkov A.V. Analysing the state and prospects of development of the coal industry in Russia. Ugol’. 2025;(6):58-61. (In Russ.). DOI: 10.18796/0041-5790-2025-6-58-61.

Paper Info

• Received: April 15, 2025
• Reviewed: May 16, 2025
• Accepted: May 26, 2025