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Assessment and Identification of the Possibility for Creating IT Clusters in Kazakhstan Regions

Author

Listed:
  • Anel Kireyeva

    (Institute of Economics MES RK)

  • Dinara Mussabalina

    (L.N.Gumilyov Eurasian National University)

  • Baurzhan Tolysbaev

    (ENU named after L.N.Gumilyov)

Abstract

The paper is devoted to the development of general methodological approaches to evaluate and identify the possibility for creating IT clusters in Kazakhstan regions. The present study considers the formation of IT clusters as growth poles. These poles are based on the establishing the groups of interconnected companies and institutions in IT industry linked by commonalities. The analysis of previous literature has shown that this approach is a novel approach to IT clusters formation. The study employs methods, which focus on analysing and identifying IT clusters in the interests of innovative development and the possibility of spreading information technology in Kazakhstan regions. We propose the methodological tools for presenting a standard form to assess innovative potential and industry specialization. This assessment allows to objectively and realistically define a potentially important region for creating IT cluster. The empirical analysis has identified certain trends in possibilities to create IT clusters in the cities of Almaty and Astana. Therefore, these regions play the role of specialized platforms for a new generation. This platform is to provide a multiplier effect on the development of the agglomeration and located in close territories or periphery. The results of this research can be used to elaborate important strategic documents in the field of the development of the IT industry, digital technology, knowledge-based and high-tech sectors in Kazakhstan on the way to Industry 4.0.

Suggested Citation

  • Anel Kireyeva & Dinara Mussabalina & Baurzhan Tolysbaev, 2018. "Assessment and Identification of the Possibility for Creating IT Clusters in Kazakhstan Regions," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 463-473.
  • Handle: RePEc:ura:ecregj:v:1:y:2018:i:2:p:463-473
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    References listed on IDEAS

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    Cited by:

    1. Bożena Gajdzik & Sandra Grabowska & Sebastian Saniuk, 2021. "A Theoretical Framework for Industry 4.0 and Its Implementation with Selected Practical Schedules," Energies, MDPI, vol. 14(4), pages 1-24, February.
    2. Li, Junwei & Liu, Wenxiao & Du, Lei & Xiao, Jin, 2024. "High-tech industry agglomeration and regional green development: An analysis of spatial Durbin model," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    3. Yuxi Chen & Mengting Zhang & Chencheng Wang & Xin Lin & Zhijie Zhang, 2023. "High-Tech Industrial Agglomeration, Government Intervention and Regional Energy Efficiency: Based on the Perspective of the Spatial Spillover Effect and Panel Threshold Effect," Sustainability, MDPI, vol. 15(7), pages 1-29, April.
    4. Makpal Bekturganova & Azimkhan Satybaldin & Bakhyt Yessekina, 2019. "Conceptual Framework for the Formation of Low-carbon Development: Kazakhstan s Experience," International Journal of Energy Economics and Policy, Econjournals, vol. 9(1), pages 48-56.

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    More about this item

    Keywords

    region; regional development; growth pole; agglomeration effect; cluster; information technology; IT cluster; innovation; specialization; Kazakhstan;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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