Mathematical Modeling of Shock Propagation Across the Sectors of the Russian Economy
https://doi.org/10.38050/2078-3809-2025-17-3-38-52
Abstract
This article examines the impact of local shocks in individual sectors on macroeconomic performance using modern input-output models and available Russian data. Based on the dynamic network model the study identifies key sectors in the Russian economy that play a central role in transmitting long-term shocks. These include raw materials and energy industries, wholesale and retail trade, and transportation services. The significance of these sectors is further confirmed through an eigenvector centrality analysis within the production network. The findings offer practical implications for economic policy aimed at enhancing the resilience of critical sectors, improving supply chain stability, and monitoring price dynamics in strategically important industries. Such measures may serve as preventive tools for mitigating systemic risks and strengthening the economy's capacity to absorb shocks.
About the Authors
O. A. Klachkova
Lomonosov Moscow State University
Russian Federation
Russian Federation
Olga A. Klachkova, Candidate of Economic Sciences, Associate Professor, Faculty of Economics
Moscow
G. V. Korenyak
Lomonosov Moscow State University
Russian Federation
Russian Federation
Grigoriy V. Korenyak, Master's student, Faculty of Economics
Moscow
N. L. Shagas
Lomonosov Moscow State University
Russian Federation
Russian Federation
Natalia L. Shagas, Candidate of Economic Sciences, Associate Professor, Faculty of Economics
Moscow
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Review
For citations:
Klachkova O.A., Korenyak G.V., Shagas N.L. Mathematical Modeling of Shock Propagation Across the Sectors of the Russian Economy. Scientific Research of Faculty of Economics. Electronic Journal. 2025;17(3):38-52. (In Russ.) https://doi.org/10.38050/2078-3809-2025-17-3-38-52
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