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The Effect of Service Clusters on the Sustainable Economic Development

Author

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  • Lezgovko Michail

    (Mykolas Romeris University, Lithuania)

  • Lezgovko Aleksandra

    (Vilnius University Business School, Lithuania)

Abstract

Clusterization has been named as one of the priorities of the development strategy of many European Union countries. Clusterization experts have already hypothesized that clusters of various economic activities are important not only in the formation of regional policy, but they also in a complex way stimulate the whole country’s economic growth from job creation to the development of intellectual property to new innovative industries. These realities show that cluster activity and its results are important not only for cluster participants, but also for the economy of the country in which clusters operate. However, there are currently no reliable and effective tools to validate this hypothesis. In the analysis of the problem and in order to deepen the theoretical knowledge of the object under study, this paper analyses and summarizes systematic, logical and comparative scientific literature, scientific studies, strategic documents and legal acts. Therefore, the purpose of this paper is to provide a theoretical overview of the currently available knowledge on service clusterization and sustainable economic development, to demonstrate the acute absence of relevant theoretical foundations and linkages that would allow to analyse these phenomena, and propose a methodological approach that would allow to expand this field of study.

Suggested Citation

  • Lezgovko Michail & Lezgovko Aleksandra, 2018. "The Effect of Service Clusters on the Sustainable Economic Development," Economics and Culture, Sciendo, vol. 15(2), pages 75-87, December.
    • Handle: RePEc:vrs:ecocul:v:15:y:2018:i:2:p:75-87:n:8
    DOI: 10.2478/jec-2018-0022
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    References listed on IDEAS

    as
    1. Delgado, Mercedes & Porter, Michael E. & Stern, Scott, 2014. "Clusters, convergence, and economic performance," Research Policy, Elsevier, vol. 43(10), pages 1785-1799.
    2. Ness, Barry & Urbel-Piirsalu, Evelin & Anderberg, Stefan & Olsson, Lennart, 2007. "Categorising tools for sustainability assessment," Ecological Economics, Elsevier, vol. 60(3), pages 498-508, January.
    3. Sandro Montresor & Giuseppe Vittucci Marzetti, 2008. "Innovation Clusters in Technological Systems: A Network Analysis of 15 OECD Countries for the Mid-1990s," Industry and Innovation, Taylor & Francis Journals, vol. 15(3), pages 321-346.
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    More about this item

    Keywords

    Clusterization; sustainable economy; development;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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