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Indicators of government effectiveness in European countries: Empirical analysis with the use of panel data

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dc.title Indicators of government effectiveness in European countries: Empirical analysis with the use of panel data en
dc.title Valdžios veiksmingumo rodikliai europos šalyse: Empirinė analizė naudojant panelinius duomenis lt
dc.contributor.author Halásková, Martina
dc.contributor.author Linhartová, Veronika
dc.contributor.author Gavurová, Beáta
dc.contributor.author Niroda, Peter
dc.relation.ispartof Transformations in Business and Economics
dc.identifier.issn 1648-4460 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2023
utb.relation.volume 22
utb.relation.issue 1
dc.citation.spage 280
dc.citation.epage 298
dc.type article
dc.language.iso en
dc.publisher Vilnius University
dc.relation.uri http://www.transformations.knf.vu.lt/58/article/indi
dc.subject government effectiveness en
dc.subject indicators en
dc.subject public expenditures en
dc.subject evaluation en
dc.subject EU countries en
dc.subject transition economies en
dc.subject non-transition economies en
dc.subject panel data en
dc.description.abstract Based on a theoretical and empirical approach, the authors strive to evaluate government effectiveness according to the government effectiveness index and the impact of selected (socio-economic) indicators on government effectiveness in European countries in the years 2003–2019. The research examines the position of European countries (EU-27 and the United Kingdom) and focuses on the specification of determinants in transition economies and non-transition economies. The highest government effectiveness in 2003–2019 is observed in Scandinavian countries, whereas the lowest government effectiveness was found in two examples of transition economies, Romania and Bulgaria. Panel data analysis was used for the analysis, specifically the Fixed effects model. The results of the analysis demonstrate the impact of the observed determinants on government effectiveness in transition economies (model 1) and in non-transition economies (model 2). The most significant determiners to affect government effectiveness are GDP per capita and government expenditures on public services in both models (despite a different structure in transition and non-transition economies). Other factors that have a major effect on government effectiveness in transition economies are parliamentary seats held by women, the corruption perception index, and the percentage of women in the position of senior administrators. Our findings can be beneficial for public policymakers in the implementation of government measures and as a basis for changes in the leadership of individual governments leading to increased efficiency en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1011533
utb.identifier.obdid 43884463
utb.identifier.scopus 2-s2.0-85153713141
utb.identifier.wok 001073534400016
utb.source j-scopus
dc.date.accessioned 2023-05-24T13:10:17Z
dc.date.available 2023-05-24T13:10:17Z
dc.description.sponsorship 1/0590/22; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV, VEGA: 1/0683/21, SP2022/74
dc.description.sponsorship Scientific Grant Agency of the Ministry of Education, Science, Research, and Sport of the Slovak Republic; Slovak Academy Sciences as part of the re-search project VEGA [1/0590/22]; project VEGA [1/0683/21]; SGS Project [SP2022/74]
utb.contributor.internalauthor Gavurová, Beáta
utb.fulltext.sponsorship This research was supported by the Scientific Grant Agency of the Ministry of Education, Science, Research, and Sport of the Slovak Republic and the Slovak Academy Sciences as part of the re-search project VEGA No. 1/0590/22: „Exploration of natural, social and economic potential of areas with environmental burdens in the Slovak Republic for the development of specific forms of domestic tourism and quantification of environmental risks”. This work is supported within project VEGA 1/0683/21 “Generation Gap and Provision of Public Services and Administration“ and SGS Project SP2022/74 “Computational Intelligence in the Prediction of Economic Quantities, Data Mining and Economic Process Modeling”.
utb.wos.affiliation [Halaskova, Martina] VSB Tech Univ Ostrava, Fac Econ, Sokolska Trida 33, Ostrava 70300, Czech Republic; [Linhartova, Veronika] Ambis Univ, Dept Econ & Management, Lindnerova 575-1, Prague 18000 8, Liben, Czech Republic; [Gavurova, Beata] Tomas Bata Univ Zlin, Fac Econ & Management, TG Masaryka 5555, Zlin 76001, Czech Republic; [Niroda, Peter] Tech Univ Kosice, Fac Econ, Nemcovej 32, Kosice 04001, Slovakia
utb.scopus.affiliation Faculty of Economics VŠB-Technical, University of Ostrava, Sokolská třída 33, Ostrava, 702 00, Czech Republic; Department of Economics and Management, Ambis University, Lindnerova 575/1, Praha 8, Libeň, 180 00, Czech Republic; Faculty of Management and Economics Tomas, Bata University in Zlin, nám. T. G. Masaryka 5555, Zlín, 760 01, Czech Republic; Faculty of Economics Technical, University of Košice, Němcovej 32, Košice, 040 01, Slovakia
utb.fulltext.projects VEGA 1/0590/22
utb.fulltext.projects VEGA 1/0683/21
utb.fulltext.projects SP2022/74
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