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Change of EU28 countries research and development indicators between 2010 and 2015

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dc.title Change of EU28 countries research and development indicators between 2010 and 2015 en
dc.contributor.author Halásková, Martina
dc.contributor.author Gavurová, Beáta
dc.contributor.author Koróny, Samuel
dc.relation.ispartof Economics and Sociology
dc.identifier.issn 2071-789X Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2020
utb.relation.volume 13
utb.relation.issue 1
dc.citation.spage 230
dc.citation.epage 248
dc.type article
dc.language.iso en
dc.publisher Centre of Sociological Research
dc.identifier.doi 10.14254/2071-789X.2020/13-1/15
dc.relation.uri https://www.economics-sociology.eu/files/15I_916_Halaskova%20et%20al.pdf
dc.subject research en
dc.subject development en
dc.subject Malmquist indices en
dc.subject data envelopment analysis en
dc.description.abstract In the paper evaluation of research and development efficiency change in EU28 countries between 2010 and 2015. The authors used the non -radial and non oriented Malmquist index of available R&D indicators of EU28 countries (five inputs and two outputs) and have found six groups of EU28 countries from the viewpoint of three index terms values (efficiency shift, frontier shift and Malmquist index). The relatively best group of countries with progress in both efficiency shift and frontier shift terms (Malmquist index >1) is represented by two countries: Italy and Germany. The last group contains the six relatively worst countries with regress in all three terms (efficiency shift, frontier shift and Malmquist index < 1): Netherlands, Greece, Malta, Poland, Luxembourg and Portugal. It was found by means of the nonparametric test that post-socialist countries are not different from capitalist EU countries from the viewpoint of efficiency change between 2010 and 2015. The biggest change in R&D efficiency using the Malmquist index between 2010 and 2015 was found in Spain, Latvia, Denmark and Ireland. Conversely, the smallest change in R&D efficiency is demonstrated by Poland, Luxembourg and Portugal. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1009660
utb.identifier.scopus 2-s2.0-85083331432
utb.identifier.wok 000521646100015
utb.source J-wok
dc.date.accessioned 2020-05-06T19:41:53Z
dc.date.available 2020-05-06T19:41:53Z
dc.description.sponsorship project Operational Programme Education for Competitiveness [CZ. 1.07/2.3.00/20.0296]; Scientific Grant Agency of the Ministry of Education, Science, Research, and Sport of the Slovak Republic; Slovak Academy Sciences [VEGA 1/0843/18]
dc.rights Attribution 3.0 Unported
dc.rights.uri http://creativecommons.org/licenses/by/3.0/
dc.rights.access openAccess
utb.contributor.internalauthor Gavurová, Beáta
utb.fulltext.sponsorship This paper was created within the project Operational Programme Education for Competitiveness (Project No. CZ. 1.07/2.3.00/20.0296). This work is 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 research project VEGA 1/0843/18: Methodological aspects of DEA application on efficiency assessment of production units.
utb.wos.affiliation [Halaskova, Martina] VSB Tech Univ Ostrava, Fac Econ, Ostrava, Czech Republic; [Gavurova, Beata] Tomas Bata Univ Zlin, Zlin, Czech Republic; [Gavurova, Beata] Fac Econ & Management, Zlin, Czech Republic; [Korony, Samuel] Matej Bel Univ, Fac Econ, Banska Bystrica, Slovakia
utb.scopus.affiliation VŠB-Technical University of Ostrava, Faculty of Economics, Ostrava, Czech Republic; Tomas Bata University, Zlín, Czech Republic; Faculty of Management and Economics, Zlin, Czech Republic; Matej Bel University, Faculty of Economics, Banská Bystrica, Slovakia
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