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Key Features Of The First Phase Of The National Cluster Program In Russia

Author

Listed:
  • Evgeniy Kutsenko

    (Centre for S&T, Innovation and Information Policies, Institute for Statistical Studies and Economics of Knowledge, National Research University – Higher School of Economics (HSE),)

  • Dirk Meissner

    (Deputy Head, Laboratory for Science and Technology Studies, Institute for Statistical Studies and Economics of Knowledge, National Research University Higher School of Economics)

Abstract

Cluster policy is recognized as one of the pivotal elements of state-of-art innovation policy. State support for clusters helps to take into account regional peculiarities and engage the most innovative local actors into the process of innovation policy drafting and implementation. Cluster development stimulates trust building and enhances knowledge spillovers among different organizations in the region. Finally the cluster approach makes innovation policy more systemic by coordinating measures aimed to support different actors (large companies, SMEs, universities, venture funds) towards comprehensive efforts linking the most perspective localized industries (ecosystems). The development of clusters has been determined as one of the priorities of the Strategy of Innovative Development of the Russian Federation for the period to 2020 which was confirmed end 2010. In the framework of this Strategy the first national cluster program was launched in 2012. The paper is devoted to the detailed description of the background of the national cluster program in Russia and its first phase – the selection of the pilot innovative clusters – which was implemented last year. Special attention is given to the comparison of planned design of the Russian cluster program with such widely known cluster programs as the BioRegio, InnoRegio and Les poles de competitivite. The similarities and peculiarities of the Russian program have been defined that allowed to identify several most significant areas for improvement.

Suggested Citation

  • Evgeniy Kutsenko & Dirk Meissner, 2013. "Key Features Of The First Phase Of The National Cluster Program In Russia," HSE Working papers WP BRP 11/STI/2013, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:wpbrp11sti2013
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Galina A. Kitova, 2014. "Taxation Of R&D: Review Of Practices," HSE Working papers WP BRP 28/STI/2014, National Research University Higher School of Economics.
    2. Turgel, I. D. & Bozhko, L. L. & Pandzhiyeva, V. T., 2020. "Cluster policies of large cities in Russia and Kazakhstan," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 6(1), pages 28-39.
    3. Alexander Chepurenko & Maria Kristalova & Michael Wyrwich, 2019. "Historical and Institutional Determinants of Universities’ Role in Fostering Entrepreneurship," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(4), pages 48-59.
    4. Ekaterina Islankina, 2015. "Internationalization Of Regional Clusters: Theoretical And Empirical Issues," HSE Working papers WP BRP 41/STI/2015, National Research University Higher School of Economics.
    5. Konstantin Fursov & Ian Miles, 2013. "Framing Emerging Nanotechnologies: Steps Towards A Forward-Looking Analysis Of Skills," HSE Working papers WP BRP 15/STI/2013, National Research University Higher School of Economics.
    6. Evgeniy Kutsenko, 2015. "Pilot Innovative Territorial Clusters in Russia: A Sustainable Development Mode," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 9(1), pages 32-55.
    7. 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.

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    More about this item

    Keywords

    Clusters; knowledge spillovers; cluster policy; innovation policy.;
    All these keywords.

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock

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