Specialization profiles of Russian Regions – leaders in innovative development

Introduction. The formation and strengthening of regional competitive advantages highlight the problems of studying combinations of activities that shape the innovative potential of territories in the context of technological transformation. The smart specialization concept offers new analytical frameworks for examining a region's competitive potential, taking into account the historically established production basis , resource capabilities, and combination of structural, institutional, and spatial factors. The aim of this research is to analyze specialization profiles of Russian regions that demonstrate high indicators of innovative development, identify characteristic features of their economic structure, and determine regional development models that contribute to innovative transformation. Materials and methods. The research is based on calculating and analyzing localization coefficients according to OKVED 2 sections for 12 leading regions in innovation development, selected based on ratings and the presence of established innovation ecosystems. The information base consisted of data from Rosstat, EMISS, and regional authorities. An algorithm for sequential analysis of specialization was applied, grouping regions by similarity of structural economic characteristics. Results. Four basic models of regional specialization were identified: "metropolitan" (Moscow, St. Petersburg) with high diversification and service sector dominance; "extractive" (Tatarstan, Perm Krai, Samara and Tomsk regions); "agro-industrial" (Ulyanovsk, Novosibirsk and Kaluga regions); and "service-industrial" (Moscow Region, Nizhny Novgorod and Sverdlovsk regions). The determining role of agglomeration effects in forming smart specialization potential was established. Discussion. Key directions for developing regional specialization under technological transformation of the economic system are: development of digital infrastructure; technological modernization of traditional specialization industries; diversification of industrial structure; and human capital development.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
DOI
https://doi.org/10.22394/2304-3385-2024-4-20-33
Citations
1
Primary Topic
Regional Economic Development and Innovation
Type
article
Field-Weighted Citation Impact
2.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Specialization profiles of Russian Regions – leaders in innovative development

1 citations
SHILAP Revista de lepidopterología
Regional Economic Development and Innovation
2.23
article

Specialization profiles of Russian Regions – leaders in innovative development

article en
1 citations

Abstract

Introduction. The formation and strengthening of regional competitive advantages highlight the problems of studying combinations of activities that shape the innovative potential of territories in the context of technological transformation. The smart specialization concept offers new analytical frameworks for examining a region's competitive potential, taking into account the historically established production basis , resource capabilities, and combination of structural, institutional, and spatial factors. The aim of this research is to analyze specialization profiles of Russian regions that demonstrate high indicators of innovative development, identify characteristic features of their economic structure, and determine regional development models that contribute to innovative transformation. Materials and methods. The research is based on calculating and analyzing localization coefficients according to OKVED 2 sections for 12 leading regions in innovation development, selected based on ratings and the presence of established innovation ecosystems. The information base consisted of data from Rosstat, EMISS, and regional authorities. An algorithm for sequential analysis of specialization was applied, grouping regions by similarity of structural economic characteristics. Results. Four basic models of regional specialization were identified: "metropolitan" (Moscow, St. Petersburg) with high diversification and service sector dominance; "extractive" (Tatarstan, Perm Krai, Samara and Tomsk regions); "agro-industrial" (Ulyanovsk, Novosibirsk and Kaluga regions); and "service-industrial" (Moscow Region, Nizhny Novgorod and Sverdlovsk regions). The determining role of agglomeration effects in forming smart specialization potential was established. Discussion. Key directions for developing regional specialization under technological transformation of the economic system are: development of digital infrastructure; technological modernization of traditional specialization industries; diversification of industrial structure; and human capital development.

SHILAP Revista de lepidopterología
The Russian Presidential Academy of National Economy and Public Administration (RU)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Regional Economic Development and Innovation
2.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Specialization profiles of Russian Regions – leaders in innovative development · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS