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Modeling the Development of Regional Economy and an Innovation Space Efficiency

Author

Listed:
  • Valery Makarov

    (Central Economic Mathematical Institute of the Russian Academy of Sciences (Russia))

  • Sergey Ayvazyan

    (Central Economic Mathematical Institute of the Russian Academy of Sciences (Russia))

  • Mikhail Afanasyev

    (Central Economic Mathematical Institute of the Russian Academy of Sciences (Russia))

  • Albert Bakhtizin

    (Central Economic Mathematical Institute of the Russian Academy of Sciences (Russia))

  • Ashkhen Nanavyan

    (Central Economic Mathematical Institute of the Russian Academy of Sciences (Russia))

Abstract

Forming the regional space of innovation is accompanied by the simultaneous development of various structures. The contemporary model of innovative development assumes interactions between government, industry, and universities. In this paper, the set of potential links between research organizations and the innovation activity of enterprises is characterized as the innovative space and is seen as a resource for innovation. Obtaining quantitative characteristics of such links and interactions is one of the most difficult tasks in analysing innovation processes. Our hypothesis is that regional innovation depends on the size of the innovation space and on how effectively it is used. The econometric modeling results do not contradict our hypothesis. Our estimates of the size of the innovation space used by regions of Russia when creating new production technologies confirm the high potential value of this resource. Using a Computable General Equilibrium (CGE) model that we developed, we analysed the innovative elements of regional economies (based on the example of the Republic of Bashkortostan) and quantitatively assessed the effects of different scenarios that aim to improve the socio-economic system. We included an indicator of the effective use of the innovation space for a given region as one of the agents of the CGE model production function. Our results indicate the important role of regional authorities in promoting cooperation between the state, industry, and the research and education communities as well as in developing regional innovation systems.

Suggested Citation

  • Valery Makarov & Sergey Ayvazyan & Mikhail Afanasyev & Albert Bakhtizin & Ashkhen Nanavyan, 2016. "Modeling the Development of Regional Economy and an Innovation Space Efficiency," Foresight and STI Governance, National Research University Higher School of Economics, vol. 10(3), pages 76-91.
    • Handle: RePEc:hig:fsight:v:10:y:2016:i:3:p:76-91
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    References listed on IDEAS

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    Cited by:

    1. Dmitriy Aleksandrovich Abashev & Valery Vitalyevich Yanovskiy, 0. "Modern Approach to the Regional Strategic Planning: Main Directions and Tools," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 7.
    2. Viktoria V. Akberdina & Andrey I. Volodin & Roman V. Gubarev & Evgeniy I. Dzyuba & Fanil’ S. Fayzullin, 2020. "Models of public investment management at regional level," Upravlenets, Ural State University of Economics, vol. 11(1), pages 45-56, March.
    3. 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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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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