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The development of innovation activities clusters in Russia and in the Czech Republic

Author

Listed:
  • Alexey Lesnik
  • Zhanna Mingaleva

Abstract

Innovative development becomes the main tendency of the modern world economy. The paper presents a comparative analysis of the development of Russian and Czech clusters engaged in innovation activities. Innovative cluster is one of the most effective forms for reaching a high level of competitiveness. Development of the cluster as a new form of managing, economic interaction and connections allows to reach social and economic effect. The whole point of the innovative cluster is that the enterprises and the organizations merge with each other and create a new product or service and put means in development. Cooperation between companies allows to reduce costs for its development and researches with the commercialization of the new good or service in the future. The activity of the cluster has a constructive nature, which consists in the majority of participants of innovative cluster do not compete among themselves; they work for the common objective. Innovative clusters exist not only in the developed countries, but also in the developing states. Innovative activity in the developed countries arose earlier and began to form rapider. The innovative clusters have promoted the development of the European countries. Domination of the clusters in the economy is significant both for national, and for a regional economy, where high geographical concentration of the interconnected industries is observed. The cluster approach gives the effective tool for the achievement of main goals: increase of the level of profitableness of the region and employment of the population, promotes strengthening of the competitive advantages of separate companies and all economy as a whole.

Suggested Citation

  • Alexey Lesnik & Zhanna Mingaleva, 2013. "The development of innovation activities clusters in Russia and in the Czech Republic," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 190-197.
  • Handle: RePEc:ura:ecregj:v:1:y:2013:i:3:p:190-197
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    Citations

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    Cited by:

    1. Luigi Aldieri & Maxim Nikolaevich Kotsemir & Concetto Paolo Vinci, 2018. "Knowledge spillover effects: empirical evidence from Russian regions," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2111-2132, September.
    2. Liwen Sun & Ying Han, 2022. "Spatial Correlation Network Structure and Influencing Factors of Two-Stage Green Innovation Efficiency: Evidence from China," Sustainability, MDPI, vol. 14(18), pages 1-22, September.

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