IDEAS home Printed from https://ideas.repec.org/a/nwe/eajour/y2022i1p35-51.html
   My bibliography  Save this article

Regional Economic Development Divergence Research in Georgia by PCA Method

Author

Listed:
  • Nikoloz Chikhladze

    (Akaki Tsereteli State University, Kutaisi, Georgia)

  • Gocha Ugulava

    (Kutaisi University, Georgia)

Abstract

The study of a mix of the negative effects of unequal economic development between regions is one of the challenges economic science is now facing. Numerous methods are provided in terms of assessing regional disparities and interpreting the assessment results. The article describes the methodology for studying economic divergence between regions using the method of principal component analysis. The introduction of an aggregate indicator describing divergence allows us to reflect on a variety of different data, to study and explore a complete, real, comprehensive, volumetric picture of divergence. It appears possible: to identify clusters of regions according to mathematical calculations, including distinguishing the growth poles, less developed and depressed regions of the middle zone; to determine the degree of disparity when classifying in terms of the phases of divergence: the cases of differentiation, asymmetry and polarization; to rank the regions according to their share in this divergence; to analyze how the level of divergence changes over time by observing the dynamics of indicators. Following the description of this methodology, the existing problems of divergence of economic development between the regions of Georgia are analyzed.

Suggested Citation

  • Nikoloz Chikhladze & Gocha Ugulava, 2022. "Regional Economic Development Divergence Research in Georgia by PCA Method," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 35-51, March.
    • Handle: RePEc:nwe:eajour:y:2022:i:1:p:35-51
    as

    Download full text from publisher

    File URL: https://www.unwe.bg/doi/eajournal/2022.1/EA.2022.1.03.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Regional Development Divergence; Principal Component Analysis Method; Economy of Georgia;
    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
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nwe:eajour:y:2022:i:1:p:35-51. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Vanya Lazarova (email available below). General contact details of provider: https://edirc.repec.org/data/unweebg.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.