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Financial sector analysis in the cluster theory context (Georgian case)

Author

Listed:
  • Pataraia Larisa

    (Business School, Ilia State University, Tbilisi)

  • Geradze Revaz

    (Business School, Ilia State University, Tbilisi)

  • Dushuashvili Tatuli

    (Business School, Ilia State University, Tbilisi)

Abstract

The paper assesses the financial services in Georgia in the Cluster Theory context. The aim of the research is to identify the ways of the cluster, the dynamics of its variability, the growth rates as well as the realization of its potential and obstacles for it. The study investigates to identify the unity of the interrelated institutions involved in the financial services as being a necessary condition for the formation of the clusters in the sector. For the purposes of this work, a financial cluster is defined as a unity of sub-clusters, such as commercial banks, microfinance institutions, credit unions, insurance companies, pension funds and the stock market. The efficiency of financial services is estimated on the bases of concentration per location, employment, education accessibility, and the volume of capital investments, GDP growth rate, the average profitability and the rate of innovation. It was determined that there is an incomplete form of financial services trade cluster in Georgia, which highly impacts the country's economy. In order to maintain its sustainable competitiveness, it is important to develop viable policies to promote the organic growth of the cluster.

Suggested Citation

  • Pataraia Larisa & Geradze Revaz & Dushuashvili Tatuli, 2017. "Financial sector analysis in the cluster theory context (Georgian case)," Technology audit and production reserves, 1(33) 2017, Socionet;Technology audit and production reserves, vol. 1(4(33)), pages 36-42.
    • Handle: RePEc:nos:zpbbwi:4
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    File URL: http://journals.uran.ua/tarp/article/view/90448
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Cluster Map; Porter Diamond Model; Georgian financial sector; credit institutions; stock exchange;
    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
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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