Alina Urazbaeva Participates in the XXVI April International Academic Conference

On April 17, 2026, Alina Urazbaeva, Research Assistant at the Laboratory for Spatial Econometric Modeling of Socio-Economic Processes in Russia, presented at the XXVI April International Academic Conference named after E.G. Yasin, organized by HSE University.

At the session "Russian Regions in the Context of External Shocks," she delivered a report entitled "Sanction Risk Exposure: Cluster Analysis of Russian Regions," co-authored with V.A. Voytenkov and O.A. Demidova.
The study applies machine learning methods (k-means clustering) to assess sanction risks across Russian regions using publicly available data from 2021. Three groups of regions were identified: high, medium, and low potential sanction risk. The key variables included the share of manufacturing in GRP, the trade openness index, and the Herfindahl–Hirschman Index (HHI).
The findings indicate that a region's integration into international trade and the share of manufacturing in its GRP are reliable predictors of high sanction vulnerability. These results enable regional authorities to assess potential vulnerability to sanction pressure ex ante, providing a crucial tool for proactive planning and building economic resilience.