A methodology for assessing the risk resistance of regions with account of the risk complexity of companies (a case study of mining operations)
A.O. Zubov1, E.N. Bardulin2, A.A. Mazhazhikhov2, N.A. Shapiro3, A.V. Yakovleva3
1 Military Educational Institution of Logistics named after General of the Army A.V. Кhrulyov, Saint Petersburg, Russian Federation
2 Saint Petersburg University of State Fire Service of EMERCOM of Russia, Saint Petersburg, Russian Federation
3 Herzen State Pedagogical University of Russia, Saint Petersburg, Russian Federation
Russian Mining Industry №1/ 2026 p. 49-54
Abstract: INTRODUCTION. In the context of increasing instability in the global and national economies, traditional approaches to assessing the resilience of regions based on the analysis of macroeconomic aggregates are demonstrating their limitations. They fail to take into account the structural composition of the regional economy and the potential contribution of individual economic entities to generation of systemic crises. OBJECTIVE OF THE STUDY. To develop a comprehensive methodology for assessing regional risk tolerance, integrating a microlevel analysis of companies’ risk capacity with a macro-level assessment of the social and economic sustainability of the territory. METHODS. The methodology is based on the author’s approach, which includes: 1) assessing companies’ risk capacity by aggregating normalized indicators for financial, environmental, social, and operational risks; 2) calculating the integrated indicator of the region’s macro-resilience; 3) determining the final regional risk tolerance index (RRI) as a function of the ratio of the macro-resilience to the total weighted risk capacity of the corporate sector. RESULTS. A new diagnostic tool is proposed that allows for a quantitative assessment of a region’s ability to withstand shocks, taking into account specific industrial and corporate features. A typological matrix was built based on the calculations that classifies the regions into four clusters, i.e. the “Leaders”, the “Vulnerable Giants”, the “Stable Outsiders”, and the “Crisis Zones.” The key vulnerability of the "Giant" regions has been identified, which external macroeconomic stability can be instantly destabilized by risk realizations at one or more large-scale companies with a high risk load. CONCLUSIONS. A practical significance of the study lies in creating a foundation for proactive regional policy aimed not at eliminating the consequences of crises, but at preventatively managing the risk sources. The methodology allows government agencies to prioritize support and develop targeted measures for the most vulnerable territories, while corporate investors can assess systemic risks more accurately when selecting locations for the new projects.
Keywords: regional risk resilience, corporate risk capacity, risk assessment, economic security, regional typology, macroresilience, risk management
For citation: Zubov A.O., Bardulin E.N., Mazhazhikhov A.A., Shapiro N.A., Yakovleva A.V. A methodology for assessing the risk resistance of regions with account of the risk complexity of companies (a case study of mining operations). Russian Mining Industry. 2026;(1):49–54. https://doi.org/10.30686/1609-9192-2026-1-49-54
Article info
Received: 17.10.2025
Revised: 16.12.2025
Accepted: 24.12.2025
Information about the authors
Alexander O. Zubov – Cand. Sci. (Econ.), Military Educational Institution of Logistics named after General of the Army A.V. Кhrulyov, Saint Petersburg, Russian Federation; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Evgeny N. Bardulin – Dr. Sci. (Econ.), Saint Petersburg University of State Fire Service of EMERCOM of Russia, Saint Petersburg, Russian Federation
Alim A. Mazhazhikhov – Cand. Sci. (Econ.), Associate Professor, Saint Petersburg University of State Fire Service of EMERCOM of Russia, Saint Petersburg, Russian Federation: https://orcid.org/0000-0003-2862-7529; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Natalia A. Shapiro – Dr. Sci. (Econ.), Herzen State Pedagogical University of Russia, Saint Petersburg, Russian Federation; https://orcid.org/0000-0002-6942-7518; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Anna V. Yakovleva – Dr. Sci. (Econ.), Herzen State Pedagogical University of Russia, Saint Petersburg, Russian Federation; https://orcid.org/0000-0001-9219-9405; e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
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