Clustering of Russian Regions by Potential of Innovative Ecosystems in the Context of Digital Technologies
https://doi.org/10.26794/2220-6469-2026-20-1-125-138
Abstract
The relevance of the research topic stems from the growing importance of regional innovation ecosystems (IES) in organising innovation processes. An innovation ecosystem is defined as a network of innovation actors and regional institutions, where high levels of interaction under open innovation conditions promote self-organisation, self-regulation, and self-development, thereby driving innovative development in the region as a whole. The purpose of this research article is to develop an original methodology for clustering regions according to potential of IES in order to form an information base for differentiated regional economic policy. Methods: the author used the principal component method, theoretical and factor analysis, as well as methods of comparison, grouping, and ranking. Scientific novelty: the paper presents original methodological evaluation of the potential of regional IES. The results of the study: the article proposes an algorithm for constructing an integral indicator to assess the potential of regional IES. Practical significance: the results can be implemented by government authorities in developing differentiated instruments of regional economic policy for the identified groups of regions.
About the Author
Yu. S. Pranuza
Francisk Skorina Gomel State University; Financial University under
the Government of the Russian Federation
Belarus
Belarus
Yuliya S. Pranuza — Senior Lecturer of the Economics and Management Department ; 3rd-year postgraduate student of the Faculty of Higher School
of Management, Department of State and Municipal Administration
Gomel; Moscow
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Review
For citations:
Pranuza Yu.S. Clustering of Russian Regions by Potential of Innovative Ecosystems in the Context of Digital Technologies. The world of new economy. 2026;20(1):125-138. https://doi.org/10.26794/2220-6469-2026-20-1-125-138
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