TRENDS AND PROSPECTIVE MODELS FOR THE FORMATION OF INNOVATIVE CLUSTERS IN THE RUSSIAN FEDERATION

Nina I. Larionova (), Tatyana V. Yalyalieva () and Dmitry L. Napolskikh ()
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Nina I. Larionova: Doctor of Economic Sciences, Professor of the Department of Management and Law, Volga State, University of Technology, Russia, Yoshkar-Ola
Tatyana V. Yalyalieva: Candidate of Economic Sciences, Professor of the Department of Management and Law, Volga State, University of Technology, Russia, Yoshkar-Ola
Dmitry L. Napolskikh: Candidate of Economic Sciences, Associate Professor of the Department of Management and Law, Volga State University of Technology, Russia, Yoshkar-Ola

Regional Science Inquiry, 2018, vol. X, issue 1, 91-101

Abstract: Paper deals with the dynamics of clusterization of the Russian economic space, reveals the main stages and prospects for the generation of the "fourth wave" of clustering. The purpose of this research is to offer a quantitative approach to identify regional clusters and their further parametrization within the framework of an integrated model of clustering the region's economic space. Particular attention is given to organizational aspects of the clusters of microelectronics and information technologies in the Russian regions. The paper offers models for the organizational development of clusters based on the values of the Herfindahl-Hirschman Index and the concentration coefficients. The result of the analysis shows: successful cluster initiatives combine a developed innovative core, an essential industrial basis and a significant number of small and medium-sized forms of innovative entrepreneurship. Promising for the development of the high-tech industry in the Russian Federation is the conclusion that it is possible to synthesize organizational forms of economic development of forest industrial clusters and existing territorial production complexes in regions. Modeling of the development processes of innovative clusters made it possible to conclude that the state support of cluster policy remains relevant. The findings of the study are of scientific and practical interest in the framework of the problem of improving sectoral and regional clusterization strategies.

Keywords: industrial clusters; innovative multiclusters; cluster policy; regional economy; economic development (search for similar items in EconPapers)
JEL-codes: O1 R58 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

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