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Potential High-Tech Ñlusters in Russian Regions: From Current Policy to New Growth Areas

Author

Listed:
  • Stepan Zemtsov

    (Institute of Applied Economic Research, Russian Presidential Academy of National Economy and Public Administration under the President of the Russian Federation (Russia))

  • Vera Barinova

    (Institute of Applied Economic Research, Russian Presidential Academy of National Economy and Public Administration under the President of the Russian Federation (Russia))

  • Alexey Pankratov

    (Faculty of Geography, Moscow State University (Russia))

  • Evgeniy Kutsenko

    (NRU Higher School of Economics (Russia))

Abstract

In the current climate of sanctions imposed against Russia by several countries in 2014, special attention should be given to high-tech sectors of the economy as a key source of import substitution on the domestic market. One of the important policy measures is to support the development of high-tech, specialized clusters by forming new linkages and strengthening existing ones between small and medium-sized businesses, large enterprises, and research organizations. The starting point for an effective cluster policy is to define areas with high potential for clustering of these industries. The paper presents an original method to identify potential clusters and tests the method on Russian regions. We show that most of the state-supported pilot innovative territorial clusters are being developed in regions and sectors that have a high level of cluster potential. A typology of existing clusters depends on the index of clustering potential. We identified regions that have similar or comparatively favourable conditions for creating clusters in the pilot sectors.

Suggested Citation

  • Stepan Zemtsov & Vera Barinova & Alexey Pankratov & Evgeniy Kutsenko, 2016. "Potential High-Tech Ñlusters in Russian Regions: From Current Policy to New Growth Areas," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 10(3), pages 34-52.
    • Handle: RePEc:hig:fsight:v:10:y:2016:i:3:p:34-52
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    References listed on IDEAS

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    Cited by:

    1. Rodionova Irina & Krejdenko Tatiana & Mądry Cezary, 2018. "Cluster Policy in the Russian Federation: A Сase Study of Industrial Clusters," Quaestiones Geographicae, Sciendo, vol. 37(2), pages 61-75, June.
    2. A. A. Pankratov & E. A. Kuvshinova & L. S. Galstyan, 2021. "Quantitative Assessment of the Socioeconomic Potential of Advanced Development Territories of Regions of the Far Eastern Federal District," Studies on Russian Economic Development, Springer, vol. 32(4), pages 407-414, July.
    3. A. A. Pankratov & R. A. Musaev & S. V. Badina, 2021. "Approaches to Identifying, Measuring and Predicting Cluster Effects," Studies on Russian Economic Development, Springer, vol. 32(3), pages 312-317, May.
    4. Jutta Günther & Dirk Meissner, 2017. "Clusters as Innovative Melting Pots?—the Meaning of Cluster Management for Knowledge Diffusion in Clusters," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(2), pages 499-512, June.
    5. Alexandra Kopteva & Leonid Kalimullin & Pavel Tcvetkov & Amilcar Soares, 2021. "Prospects and Obstacles for Green Hydrogen Production in Russia," Energies, MDPI, vol. 14(3), pages 1-21, January.

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    More about this item

    Keywords

    clusters; small and medium enterprises; location quotients; pilot innovative clusters; regions; Russia; high-tech industries;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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