HOW FAR FROM THE EURO AREA?

Ion Ignat and Raluca Gabriela Dulgheriu
Additional contact information
Ion Ignat: "Alexandru Ioan Cuza" University of Iaşi, Romania, Faculty of Economics and Business Administration
Raluca Gabriela Dulgheriu: "Alexandru Ioan Cuza" University of Iaşi, Romania, Doctoral School of Economics and Business Administration

SEA - Practical Application of Science, 2016, issue 10, 65-70

Abstract: The article performs a comparative analysis between the European Union member states from Central and Eastern Europe (Bulgaria, Croatia, Czech Republic, Hungary, Poland and Romania) in terms of real economic convergence with the Euro area. Specifically, the paper emphasizes the assessment of the time required to catch up with the average level of GDP per capita in the euro area. To determine these developments, we use a system of chain indices, calculated based on the growth rate of the GDP per capita. Assuming that the average growth specific to the period 1999-2014 will continue in the future, the results illustrate that the shortest period of catching up belongs to Poland, while Croatia remains by far the most distant country from the euro area.

Keywords: Euro area; Catching up; Real convergence; Central and Eastern Europe (search for similar items in EconPapers)
JEL-codes: F43 F45 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://seaopenresearch.eu/Journals/articles/SPAS_10_9.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cmj:seapas:y:2016:i:10:p:65-70

Access Statistics for this article

SEA - Practical Application of Science is currently edited by Romanian Foundation for Business Intelligence

More articles in SEA - Practical Application of Science from Romanian Foundation for Business Intelligence, Editorial Department
Bibliographic data for series maintained by Serghie Dan ().