Assessment of EU Competitiveness Factors by Multivariate Methods

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. 

• L. Melecký

• Competitiveness
• cluster analysis
• EU
• factor analysis
• multivariate methods.

<p>[1] P. Annoni and K. Kozovska, EU Regional Competitiveness Index 2010.
Luxembourg: Publication Office of the European Union, 2010.
[2] R.B. Burns, R.A. Burns, Business Research Methods and Statistics
Using SPSS, London: Sage, 2008.
[3] S. Garelli, Competitiveness of Nations: The Fundamentals, Lausanne:
International Institute for Management Development, 2002.
[4] J.F. Hair, W.C. Black, et al., Multivariate Data Analysi, New Jersey:
Prentice Hall, 2009.
[5] J. Hančlová, “The Effects of Domestics and External Shocks on a Small
Open Country: the Evidence from the Czech Economy,” International
Journal of Mathematical Models and Methods in Applied Sciences, vol.
6, no 2, pp. 366-375, Feb. 2012.
[6] P. Krugman, “Competitiveness: A Dangerous Obsession”, Foreign
Affairs, vol.73, no.2, 1994, pp. 28-44.
[7] L. Melecký, “Evaluation of Cohesion in Visegrad Countries in
Comparison with Germany and Austria by Multivariate Methods for
Disparities Measurement, ” International Journal of Mathematical
Models and Methods in Applied Sciences, vol. 6, no. 8, pp. 979-989,
Dec. 2012.
[8] L. Melecký and M. Staníčková, “The Competitiveness of Visegrad Four
NUTS 2 Regions and its Evaluation by DEA Method Application, ” in
Proc. 29th Inter. Conf. on Mathematical Methods in Economics, Prague,
2011, pp. 474-479.
[9] W. Molle, European Cohesion Policy. London: Routledge, 2007.
[10] J. Nevima, and L. Melecký, “Regional Competitiveness Evaluation of
Visegrad Four Countries through Econometric Panel Data Model,” in
Proc. 10th Inter. Conf. Liberec Economic Forum, Liberec, 2011, pp.
348-361.
[11] M. Staníčková and K. Skokan, “Multidimensional Approach to
Assessment of Performance in Selected EU Member States, ”
International Journal of Mathematical Models and Methods in Applied
Sciences, vol. 7, no. 1, pp. 1-13, Jan. 2013.
[12] J. Stevens, Applied multivariate statistics for the social sciences. New
Jersey: Lawrence Erlbaum Associates, 1986.</p>