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Cluster Development Based on Competitive Specialization of Regions

Author

Listed:
  • Vladimir Kolmakov

    (Plekhanov Russian University of Economics)

  • Aleksandra Polyakova

    (Institute of Social Analysis and Forecasting, Russian Presidential Academy of National Economy and Public Administration)

  • Svetlana Karpova

    (Financial University under the Government of the Russian Federation)

  • Alla Golovina

    (Ural State University of Economics)

Abstract

“Bottom-up†cluster identification, as opposed to “assigning†clusters by the fact of enterprises coexisting on a compact territory, is an important scientific and practical problem. Its solution may be found in a survey of regions’ competitive specialization in order to identify spatial clusters based on industries with high-level competitive potential. The data on gross regional product (GRP) and national gross value added across industries were an empirical basis of the study. This article explores the possibility to identify territorial clusters in a region where its competitive specialization meets the high competitive potential of an industry. Research methodology stands on regional and spatial economics theories, employs traditional economic instruments of results’ verification. To achieve the expected results we employed traditional instruments of verification, economic and statistical analysis as research methodology. Studying a wide range of literature sources have resulted into development of innovative industrial approach to cluster formation by identifying clustering priorities and industries’ integration potential. The approach is based on the assessment of regions’ industrial specialization that can measure industry’s contribution to regions competitiveness, as well as density of interregional competitive relations. Such assessment is useful in determining industries potentially attractive for clustering. These industries can generate positive effect from utilizing territory’s specialization. Obvious specialization will either indicate potential’s depletion or reveal vectors for developing the most competitive industries that actually create efficient clusters. This approach contributes sufficiently to the theory and methodology of cluster paradigm of social and economic development, as it allows identifying de-facto existing clusters instead of creating them artificially. The key principle of the method is prioritizing as a cluster an industry, which is characterized by maximum productivity in social and economic spheres. Considering the competition between regions and different levels of industry development, it is possible to identify perspective directions for advancing regions strategic competitiveness. Further research will be aimed at the method’s verification and expansion by analyzing prolonged retrospective of specific data, including the gravity components of the connectedness of regions economic space and network interactions effects between the participants of “artificial†and “natural†clusters in the Russian Federation.

Suggested Citation

  • Vladimir Kolmakov & Aleksandra Polyakova & Svetlana Karpova & Alla Golovina, 2019. "Cluster Development Based on Competitive Specialization of Regions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 270-284.
  • Handle: RePEc:ura:ecregj:v:1:y:2019:i:1:p:270-284
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    References listed on IDEAS

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    1. A.G. Polyakova & M.P. Loginov & A.I. Serebrennikova & E.I. Thalassinos, 2019. "Design of a Socio-economic Processes Monitoring System Based on Network Analysis and Big Data," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 130-139.
    2. E.M. Akhmetshin & D.K. Dzhavatov & E.A. Sverdlikova & M.S. Sokolov & O.A. Avdeeva & G.P. Yavkin, 2018. "The Influence of Innovation on Social and Economic Development of the Russian Regions," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 767-776.
    3. M.P. Loginov & E.E. Noeva & G.A. Volkovitckaia & A.A. Murinovich & A.I. Serebrennikova, 2018. "Competitiveness-based Typology of the Russian Regions," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 787-796.

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