IDEAS home Printed from https://ideas.repec.org/a/aka/aoecon/v72y2022i3p367-391.html

Dynamic analysis of macroeconomic performance of the Balkan countries

Author

Listed:
  • Ana Krstić

    (University of Kragujevac, Faculty of Economics, Serbia)

  • Milena Jaksić

    (University of Kragujevac, Faculty of Economics, Serbia)

  • Predrag Mimović

    (University of Kragujevac, Faculty of Economics, Serbia)

  • Danijela Tadić

    (University of Kragujevac, Faculty of Engineering, Serbia)

Abstract

The paper presents the application of a non-parametric data envelopment analysis (DEA) technique for measuring the macroeconomic performance of the Balkan countries. In this context, for the period of 2006–2018, a dynamic DEA Window model was applied based on selected macroeconomic indicators as input and output variables. For a more comprehensive and objective analysis, the DEA Window analysis is complemented by a Malmquist productivity index that provides a more complete picture of the observed entities' performance and shows a trend of change from period to period. The results showed that in the observed period, Albania and to a large extent Montenegro, especially after the end of the global financial crisis, had the highest average efficiency, that is, they used the available resources effectively to increase the GDP growth rates. The EU Member States, Greece and Croatia, in particular, achieved the highest growth in overall productivity over the observed period, and this growth was largely due to a change in technical efficiency.

Suggested Citation

  • Ana Krstić & Milena Jaksić & Predrag Mimović & Danijela Tadić, 2022. "Dynamic analysis of macroeconomic performance of the Balkan countries," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 72(3), pages 367-391, September.
  • Handle: RePEc:aka:aoecon:v:72:y:2022:i:3:p:367-391
    DOI: 10.1556/032.2022.00027
    as

    Download full text from publisher

    File URL: https://doi.org/10.1556/032.2022.00027
    Download Restriction: subscription

    File URL: https://libkey.io/10.1556/032.2022.00027?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts

    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:aka:aoecon:v:72:y:2022:i:3:p:367-391. 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: Kriston, Orsolya (email available below). General contact details of provider: https://akademiai.hu/ .

    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.