Pregled bibliografske jedinice broj: 421529
Multivariate Analysis of Structural Economic Indicators for Croatia and EU 27
Multivariate Analysis of Structural Economic Indicators for Croatia and EU 27 // Multivariate Analysis. Proceedings of the 2nd WSEAS International Conference on Multivariate Analysis and its Application in Science and Engineering (MAASE'09) / Demiralp, M. et.al. (ur.).
Istanbul: WSEAS Press, 2009. str. 134-139 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 421529 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Multivariate Analysis of Structural Economic Indicators for Croatia and EU 27
Autori
Kurnoga Živadinović, Nataša ; Dumičić, Ksenija ; Čeh Časni, Anita
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Multivariate Analysis. Proceedings of the 2nd WSEAS International Conference on Multivariate Analysis and its Application in Science and Engineering (MAASE'09)
/ Demiralp, M. et.al. - Istanbul : WSEAS Press, 2009, 134-139
ISBN
978-960-474-083-3
Skup
Multivariate Analysis of Structural Economic Indicators for Croatia and EU 27. Multivariate Analysis. Proceedings of the 2nd WSEAS International Conference on Multivariate Analysis and its Application in Science and Engineering (MAASE'09). Urednici: M. Demiralp et al., Istanbul, Turkey, May, 30- June, 1, 2009, p. 134-139, WSEAS Press. ISBN: 978-960- 474-083-3 ; ISSN: 1790-2769.
Mjesto i datum
Istanbul, Turska, 30.05.2009. - 01.06.2009
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Classification ; Structural economic indicators ; Multivariate method ; Cluster analysis ; Ward’ s method ; K-means method.
Sažetak
The last (5th) wave of EU enlargement ended on 1st January 2007 with the accession of Romania and Bulgaria. Many countries of the South- Eastern Europe aspire to join the EU. Croatia appears to be the next prospective member, so the aim of this paper was to classify Croatia and EU 27 Member States according to the structural economic indicators. In that sense, the cluster analysis was applied. The mentioned countries were gathered into homogenous groups in terms of the following structural economic indicators: GDP per capita, total employment rate and comparative price levels. The hierarchical cluster analysis and non- hierarchical cluster analysis were applied and gave similar results.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
Napomena
Http://www.wseas.us/e- library/conferences/2009/istanbul/MAASE/MAASE19.pd f?origin=publication_detail
POVEZANOST RADA
Projekti:
067-0161711-2483 - Statističko modeliranje za povećanje konkurentnosti suvremenih organizacija (Dumičić, Ksenija, MZOS ) ( CroRIS)
Ustanove:
Ekonomski fakultet, Zagreb
