Pregled bibliografske jedinice broj: 129509
Koliko je daleko Republika Hrvatska od standarda Europske unije?
Koliko je daleko Republika Hrvatska od standarda Europske unije? // Transitional impacts and the EU enlargment complexity / Andrej Kumar, Vinko Kandžija (ur.).
Ljubljana: Ekonomski fakultet Sveučilišta u Zagrebu, 2002. str. 333-337 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Koliko je daleko Republika Hrvatska od standarda Europske unije?
(How far is the Republic of Croatia from EU-standards?)
Autori
Šegota Alemka
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Transitional impacts and the EU enlargment complexity
/ Andrej Kumar, Vinko Kandžija - Ljubljana : Ekonomski fakultet Sveučilišta u Zagrebu, 2002, 333-337
Skup
Economic System of the European Union and Adjustment of Bosnia and Herzegovina
Mjesto i datum
Mostar, Bosna i Hercegovina, 26.04.2002. - 27.04.2002
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
EU; Analiza omeđivanja popdataka; kategorijske varijable
(EU; Data Envelopment Analysis; categorical variables)
Sažetak
In the previous paper authors compared the Republic of Croatia with 18 transitional countries and 4 less developed EU countries through efficiency assessing. The regression analysis was then used to select unemployment rate, gross domestic investment as percentage, gross domestic product per capita and real gross domestic product per capita as relevant variables. In addition, the Data Envelopment Analysis (DEA) was used in order to rank the Republic of Croatia as well as to find the sources and amounts of the inefficiences. The DEA is a relatively new methodology, which enables a comparative analysis of the efficiency of the decision-making units with homogenous inputs and outputs.We used the CCR model as one of the fundamental models of the DEA, named after the initials of its authors:Charnes, Cooper and Rhodes. The output for the comparison of Croatia with selected transitional countries and less developed EU countries through the efficiency assessing by the DEA was the GDP per capita , whilst the unemployment rate and the gross domestic investment as the percent of GDP were selected for the inputs. This paper presents an extension of the previous analysis:it uses a greater set of relevant countries and includes categorical variables in the DEA models. If we evaluate the efficiency of the DMUs which operate under different conditions, like transitional and EU countries, it would be proper to allow something in the way of "handicap" when evaluating them. In order to obtain more refined evaluations and insights we classify countires in different categorical classes ranging from category 1 (representing the most disadvantageous situation)to category 2 (representing the most advantageous situation).
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
POVEZANOST RADA