ECONOMIC GROWTH IN SOUTH EASTERN EUROPE: AN INVESTIGATION FOR SIX EU CANDIDATE AND POTENTIAL CANDIDATE COUNTRIES

The South Eastern European region (SEE) has seen major beneficial transformation in the recent years. Romania and Bulgaria in 2007 and Croatia in 2013 became members of the European Union and registered significant economic growth rates. This paper investigates some important factors that influence...

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Main Authors: Ileana Tache, Florin Teodor Boldeanu
Format: Article
Language:English
Published: Journal of Smart Economic Growth 2017-08-01
Series:Journal of Smart Economic Growth
Online Access:https://jseg.ro/index.php/jseg/article/view/20
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spelling doaj-230534c840154b5e90dfc1861163410d2020-11-25T02:52:55ZengJournal of Smart Economic Growth Journal of Smart Economic Growth2537-141X2017-08-012212313920ECONOMIC GROWTH IN SOUTH EASTERN EUROPE: AN INVESTIGATION FOR SIX EU CANDIDATE AND POTENTIAL CANDIDATE COUNTRIESIleana TacheFlorin Teodor BoldeanuThe South Eastern European region (SEE) has seen major beneficial transformation in the recent years. Romania and Bulgaria in 2007 and Croatia in 2013 became members of the European Union and registered significant economic growth rates. This paper investigates some important factors that influence economic growth in 6 EU candidate and potential candidate countries (Albania, Bosnia and Herzegovina, Kosovo, Former Yugoslav Republic of Macedonia, Montenegro and Serbia) and offers to policy makers in those countries key insights for stimulating the economy. The paper proposes a dynamic growth model which will be developed using the Quasi-maximum likelihood (QML) estimation. This model is suited for this type of analysis because of the small T sample and also to cope with missingness. The results indicate that nine out of the fourteen variables were statistically significant. The number of non-resident tourists, the number of passenger cars, the number of children in pre-primary and primary-education are positive factors for economic growth. In contrast, government debt, inflation, all energy imports, railway transportation and primary production of coal and lignite are hindering development.https://jseg.ro/index.php/jseg/article/view/20
collection DOAJ
language English
format Article
sources DOAJ
author Ileana Tache
Florin Teodor Boldeanu
spellingShingle Ileana Tache
Florin Teodor Boldeanu
ECONOMIC GROWTH IN SOUTH EASTERN EUROPE: AN INVESTIGATION FOR SIX EU CANDIDATE AND POTENTIAL CANDIDATE COUNTRIES
Journal of Smart Economic Growth
author_facet Ileana Tache
Florin Teodor Boldeanu
author_sort Ileana Tache
title ECONOMIC GROWTH IN SOUTH EASTERN EUROPE: AN INVESTIGATION FOR SIX EU CANDIDATE AND POTENTIAL CANDIDATE COUNTRIES
title_short ECONOMIC GROWTH IN SOUTH EASTERN EUROPE: AN INVESTIGATION FOR SIX EU CANDIDATE AND POTENTIAL CANDIDATE COUNTRIES
title_full ECONOMIC GROWTH IN SOUTH EASTERN EUROPE: AN INVESTIGATION FOR SIX EU CANDIDATE AND POTENTIAL CANDIDATE COUNTRIES
title_fullStr ECONOMIC GROWTH IN SOUTH EASTERN EUROPE: AN INVESTIGATION FOR SIX EU CANDIDATE AND POTENTIAL CANDIDATE COUNTRIES
title_full_unstemmed ECONOMIC GROWTH IN SOUTH EASTERN EUROPE: AN INVESTIGATION FOR SIX EU CANDIDATE AND POTENTIAL CANDIDATE COUNTRIES
title_sort economic growth in south eastern europe: an investigation for six eu candidate and potential candidate countries
publisher Journal of Smart Economic Growth
series Journal of Smart Economic Growth
issn 2537-141X
publishDate 2017-08-01
description The South Eastern European region (SEE) has seen major beneficial transformation in the recent years. Romania and Bulgaria in 2007 and Croatia in 2013 became members of the European Union and registered significant economic growth rates. This paper investigates some important factors that influence economic growth in 6 EU candidate and potential candidate countries (Albania, Bosnia and Herzegovina, Kosovo, Former Yugoslav Republic of Macedonia, Montenegro and Serbia) and offers to policy makers in those countries key insights for stimulating the economy. The paper proposes a dynamic growth model which will be developed using the Quasi-maximum likelihood (QML) estimation. This model is suited for this type of analysis because of the small T sample and also to cope with missingness. The results indicate that nine out of the fourteen variables were statistically significant. The number of non-resident tourists, the number of passenger cars, the number of children in pre-primary and primary-education are positive factors for economic growth. In contrast, government debt, inflation, all energy imports, railway transportation and primary production of coal and lignite are hindering development.
url https://jseg.ro/index.php/jseg/article/view/20
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AT florinteodorboldeanu economicgrowthinsoutheasterneuropeaninvestigationforsixeucandidateandpotentialcandidatecountries
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