IDEAS home Printed from
   My bibliography  Save this article

Commonalities and Disparities among the EU Candidate


  • Ivan Ungureanu, Clementina

    () (Romanian National Statistical Institute, Institute for Economic Forecasting, Romanian Academy, EU international expert.)

  • Ersoz, Filiz

    () (Turkish Military Academy Defence Sciences Institute, Ankara, Turkey.)


One of the important challenges of the European Union (EU) at the beginning of the 21st century is its enlargement. After the integration of the 12 countries in 2005 and 2007, the EU continues its strategy for stability, security and prosperity in Europe. The new candidate countries, at different levels of development, are Western Balkan countries and Turkey. The objective of the paper is to investigate the differences among the EU candidate countries according to the current measures of welfare/sustainability and to find their similarities and differences. This analysis of the differences and the similitude between candidate countries is done by using multidimensional scaling method (MDS) and hierarchical cluster analysis of sustainability, which takes into account, at the same time, economic, health, standard of living, people and environmental variables, as part of the multivariate statistical analysis technique - one of the basic methods of multidimensional scaling. Furthermore, MDS method allows a standardized (transformed) analysis of the data collected in different scales. This study is based on the data standardized by means of Z score transformation. The main conclusions of the analysis light up the differences between candidate countries and could be an important tool for the policy makers to focus their efforts on the difficult goal to join the European Union.

Suggested Citation

  • Ivan Ungureanu, Clementina & Ersoz, Filiz, 2010. "Commonalities and Disparities among the EU Candidate," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 173-186, September.
  • Handle: RePEc:rjr:romjef:v::y:2010:i:3:p:173-186

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    multidimensional scaling; hierarchical cluster analysis; statistical analysis;

    JEL classification:

    • F15 - International Economics - - Trade - - - Economic Integration
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics


    Access and download statistics


    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:rjr:romjef:v::y:2010:i:3:p:173-186. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Corina Saman). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.