Nonparametric approach to evaluation of economic and social development in the EU28 member states by DEA efficiency
| dc.contributor.author | Melecký, Lukáš | |
| dc.contributor.author | Staníčková, Michaela | |
| dc.contributor.author | Hančlová, Jana | |
| dc.date.accessioned | 2019-09-04T12:13:30Z | |
| dc.date.available | 2019-09-04T12:13:30Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Data envelopment analysis (DEA) methodology is used in this study for a comparison of the dynamic efficiency of European countries over the last decade. Moreover, efficiency analysis is used to determine where resources are distributed efficiently and/or were used efficiently/inefficiently under factors of competitiveness extracted from factor analysis. DEA measures numerical grades of the efficiency of economic processes within evaluated countries and, therefore, it becomes a suitable tool for setting an efficient/inefficient position of each country. Most importantly, the DEA technique is applied to all (28) European Union (EU) countries to evaluate their technical and technological efficiency within the selected factors of competitiveness based on country competitiveness index in the 2000-2017 reference period. The main aim of the paper is to measure efficiency changes over the reference period and to analyze the level of productivity in individual countries based on the Malmquist productivity index (MPI). Empirical results confirm significant disparities among European countries and selected periods 2000-2007, 2008-2011, and 2012-2017. Finally, the study offers a comprehensive comparison and discussion of results obtained by MPI that indicate the EU countries in which policy-making authorities should aim to stimulate national development and provide more quality of life to the EU citizens. | cs |
| dc.description.firstpage | art. no. 72 | cs |
| dc.description.issue | 2 | cs |
| dc.description.source | Web of Science | cs |
| dc.description.volume | 12 | cs |
| dc.identifier.citation | Journal of Risk and Financial Management. 2019, vol. 12, issue 2, art. no. 72. | cs |
| dc.identifier.doi | 10.3390/jrfm12020072 | |
| dc.identifier.issn | 1911-8066 | |
| dc.identifier.issn | 1911-8074 | |
| dc.identifier.uri | http://hdl.handle.net/10084/138476 | |
| dc.identifier.wos | 000475294000023 | |
| dc.language.iso | en | cs |
| dc.publisher | MDPI | cs |
| dc.relation.ispartofseries | Journal of Risk and Financial Management | cs |
| dc.relation.uri | http://doi.org/10.3390/jrfm12020072 | cs |
| dc.rights | © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. | cs |
| dc.rights.access | openAccess | cs |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | cs |
| dc.subject | competitiveness | cs |
| dc.subject | country competitiveness index | cs |
| dc.subject | DEA | cs |
| dc.subject | efficiency | cs |
| dc.subject | European Union | cs |
| dc.subject | factors | cs |
| dc.subject | indicators | cs |
| dc.subject | Malmquist productivity index | cs |
| dc.title | Nonparametric approach to evaluation of economic and social development in the EU28 member states by DEA efficiency | cs |
| dc.type | article | cs |
| dc.type.status | Peer-reviewed | cs |
| dc.type.version | publishedVersion | cs |
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