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A typology of Russian regions by educational profile

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  • K. S. Krayushkin

Abstract

The contemporary system of higher education in the Russian Federation exhibits pronounced regional heterogeneity, driven by differences in the structure of specialist training. This article presents the results of a cluster analysis based on the 2024 Federal Statistical Observation VPO31, covering all 83 federal subjects and 56 fields of study.Using Principal Component Analysis (PCA) and the k–means algorithm, a stable two–cluster structure was identified: the first cluster comprises scientific–technical and multidisciplinary centers, focused on STEM disciplines and creative industries; the second includes peripheral regions with a practice–oriented profile, dominated by socio–humanitarian and locally relevant fields.The study demonstrates that Information Technology (IT) fields do not constitute a separate «digital» cluster but are inherently embedded within a broader scientific–technical ecosystem. These findings underscore the need for a differentiated approach to regional higher education policy.Â

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  • K. S. Krayushkin, 2026. "A typology of Russian regions by educational profile," Entrepreneur’s Guide, JSC “Publishing Agency “Science and Educationâ€, vol. 19(2).
    • Handle: RePEc:ahc:journl:y:2026:id:2232
    DOI: 10.24182/2073-9885-2026-19-2-61-67.
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    1. Stephen A. Rhoades, 1993. "The Herfindahl-Hirschman index," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Mar, pages 188-189.
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