. "Competitiveness, DEA method, efficiency, factor analysis, model BCC/CCR/FDH/FRH/SBM, Visegrad Four countries"@en . "27510" . "6"^^ . "RIV/61989100:27510/12:86083167" . . . "The paper deals with an application of Data Envelopment Analysis (DEA) method to multi-criteria efficiency evaluation of the Visegrad Four countries (V4) in comparison with selected advanced European Union\u2019s (EU) countries \u2013 Austria and Germany. The aim of the paper is to analyse a degree of efficiency achieved in indi-vidual countries which is perceived as a reflection of the level of competitive poten-tial in the reference years 2000 and 2010. The theoretical part of the paper is devoted to the fundamental bases of competitiveness and the methodology of factor analysis and DEA method. The empirical part is aimed at measuring the effectiveness of selected countries by selected DEA models. When applying factor analysis and DEA method, we used indicators, which are part of the Country Competitiveness Index (CCI) created by World Economic Forum (WEF) and EU. Indicators included in CCI are interrelated, therefore we use factor analysis for assessment of internal relations between indicators and for reduction of their high number to a smaller number of variables, but at a minimum loss of information contained in the original variables. Factor analysis allows to use a structure of common factors of all variables and create factors including the most important and convenient indicators for national efficiency evaluation. Results of factor analysis are used for calculations of selected DEA models \u2013 basic CCR and BCC models and additive SDM, FDH and FRH models. The DEA method evaluates the efficiency how countries are able to transform their inputs into outputs. Therefore, efficiency of countries can be considered as a 'mirror' of national competitiveness. The final part of the paper offers a comprehensive comparison of results obtained by using of all calculated DEA models."@en . . . "2"^^ . "Proceedings of 30th International Conference Mathematical Methods in Economics : 11-13 September 2012, Karvin\u00E1, Czech Republic" . "Karvin\u00E1" . . "National Efficiency Evaluation of Visegrad Countries in Comparison with Austria and Germany by Selected DEA Models" . "2012-09-11+02:00"^^ . . "Meleck\u00FD, Luk\u00E1\u0161" . "Slezsk\u00E1 univerzita v Opav\u011B" . "2"^^ . . . "National Efficiency Evaluation of Visegrad Countries in Comparison with Austria and Germany by Selected DEA Models"@en . . "S" . "http://mme2012.opf.slu.cz/proceedings/pdf/099_Melecky_S.pdf" . "National Efficiency Evaluation of Visegrad Countries in Comparison with Austria and Germany by Selected DEA Models" . "978-80-7248-779-0" . "Stan\u00ED\u010Dkov\u00E1, Michaela" . . . . "RIV/61989100:27510/12:86083167!RIV14-MSM-27510___" . "Opava" . "National Efficiency Evaluation of Visegrad Countries in Comparison with Austria and Germany by Selected DEA Models"@en . . "000316715900099" . "153160" . "[3D8F68517600]" . . . . . . . "The paper deals with an application of Data Envelopment Analysis (DEA) method to multi-criteria efficiency evaluation of the Visegrad Four countries (V4) in comparison with selected advanced European Union\u2019s (EU) countries \u2013 Austria and Germany. The aim of the paper is to analyse a degree of efficiency achieved in indi-vidual countries which is perceived as a reflection of the level of competitive poten-tial in the reference years 2000 and 2010. The theoretical part of the paper is devoted to the fundamental bases of competitiveness and the methodology of factor analysis and DEA method. The empirical part is aimed at measuring the effectiveness of selected countries by selected DEA models. When applying factor analysis and DEA method, we used indicators, which are part of the Country Competitiveness Index (CCI) created by World Economic Forum (WEF) and EU. Indicators included in CCI are interrelated, therefore we use factor analysis for assessment of internal relations between indicators and for reduction of their high number to a smaller number of variables, but at a minimum loss of information contained in the original variables. Factor analysis allows to use a structure of common factors of all variables and create factors including the most important and convenient indicators for national efficiency evaluation. Results of factor analysis are used for calculations of selected DEA models \u2013 basic CCR and BCC models and additive SDM, FDH and FRH models. The DEA method evaluates the efficiency how countries are able to transform their inputs into outputs. Therefore, efficiency of countries can be considered as a 'mirror' of national competitiveness. The final part of the paper offers a comprehensive comparison of results obtained by using of all calculated DEA models." .