{"title":"Assessment of EU Competitiveness Factors by Multivariate Methods","authors":"L. Meleck\u00fd","volume":78,"journal":"International Journal of Economics and Management Engineering","pagesStart":1709,"pagesEnd":1716,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/4846","abstract":"<p>Measurement of competitiveness between countries or regions is an important topic of many economic analysis and scientific papers. In European Union (EU), there is no mainstream approach of competitiveness evaluation and measuring. There are many opinions and methods of measurement and evaluation of competitiveness between states or regions at national and European level. The methods differ in structure of using the indicators of competitiveness and ways of their processing. The aim of the paper is to analyze main sources of competitive potential of the EU Member States with the help of Factor analysis (FA) and to classify the EU Member States to homogeneous units (clusters) according to the similarity of selected indicators of competitiveness factors by Cluster analysis (CA) in reference years 2000 and 2011. The theoretical part of the paper is devoted to the fundamental bases of competitiveness and the methodology of FA and CA methods. The empirical part of the paper deals with the evaluation of competitiveness factors in the EU Member States and cluster comparison of evaluated countries by cluster analysis. <\/p>\r\n","references":"<p>[1] P. Annoni and K. Kozovska, EU Regional Competitiveness Index 2010.\r\nLuxembourg: Publication Office of the European Union, 2010.\r\n[2] R.B. Burns, R.A. Burns, Business Research Methods and Statistics\r\nUsing SPSS, London: Sage, 2008.\r\n[3] S. Garelli, Competitiveness of Nations: The Fundamentals, Lausanne:\r\nInternational Institute for Management Development, 2002.\r\n[4] J.F. Hair, W.C. Black, et al., Multivariate Data Analysi, New Jersey:\r\nPrentice Hall, 2009.\r\n[5] J. Han\u010dlov\u00e1, \u201cThe Effects of Domestics and External Shocks on a Small\r\nOpen Country: the Evidence from the Czech Economy,\u201d International\r\nJournal of Mathematical Models and Methods in Applied Sciences, vol.\r\n6, no 2, pp. 366-375, Feb. 2012.\r\n[6] P. Krugman, \u201cCompetitiveness: A Dangerous Obsession\u201d, Foreign\r\nAffairs, vol.73, no.2, 1994, pp. 28-44.\r\n[7] L. Meleck\u00fd, \u201cEvaluation of Cohesion in Visegrad Countries in\r\nComparison with Germany and Austria by Multivariate Methods for\r\nDisparities Measurement, \u201d International Journal of Mathematical\r\nModels and Methods in Applied Sciences, vol. 6, no. 8, pp. 979-989,\r\nDec. 2012.\r\n[8] L. Meleck\u00fd and M. Stan\u00ed\u010dkov\u00e1, \u201cThe Competitiveness of Visegrad Four\r\nNUTS 2 Regions and its Evaluation by DEA Method Application, \u201d in\r\nProc. 29th Inter. Conf. on Mathematical Methods in Economics, Prague,\r\n2011, pp. 474-479.\r\n[9] W. Molle, European Cohesion Policy. London: Routledge, 2007.\r\n[10] J. Nevima, and L. Meleck\u00fd, \u201cRegional Competitiveness Evaluation of\r\nVisegrad Four Countries through Econometric Panel Data Model,\u201d in\r\nProc. 10th Inter. Conf. Liberec Economic Forum, Liberec, 2011, pp.\r\n348-361.\r\n[11] M. Stan\u00ed\u010dkov\u00e1 and K. Skokan, \u201cMultidimensional Approach to\r\nAssessment of Performance in Selected EU Member States, \u201d\r\nInternational Journal of Mathematical Models and Methods in Applied\r\nSciences, vol. 7, no. 1, pp. 1-13, Jan. 2013.\r\n[12] J. Stevens, Applied multivariate statistics for the social sciences. New\r\nJersey: Lawrence Erlbaum Associates, 1986.<\/p>\r\n","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 78, 2013"}

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