The European regional policy and the socio-economic diversity of European regions: A multivariate analysis

Abstract There are significant differences among the European Union regions, which have been heightened due to the most recent enlargement in 2004. This paper aims to analyse this diversity and to propose a classification of European regions that is adjusted to the different axes of socio-economic development and, simultaneously, is useful for European regional policy purposes. Multivariate statistical techniques allow the identification of clusters of socio-economic similarity, which are contrasted with the classes considered in the financial proposal of the European Commission (EC) for the period 2007–2013.

[1]  Girish N. Punj,et al.  Cluster Analysis in Marketing Research: Review and Suggestions for Application , 1983 .

[2]  M. Bartlett.  TESTS OF SIGNIFICANCE IN FACTOR ANALYSIS , 1950 .

[3]  João Oliveira Soares,et al.  A multivariate methodology to uncover regional disparities: A contribution to improve European Union and governmental decisions , 2003, Eur. J. Oper. Res..

[4]  L. Ludlow.  The Structure of the Job Responsibilities Scale: a Multimethod Analysis , 1999 .

[5]  R. Cattell.  The Scree Test For The Number Of Factors. , 1966, Multivariate behavioral research.

[6]  P. Arabie,et al.  Cluster analysis in marketing research , 1994 .

[7]  Socio-economic Differences Among Slovenian Municipalities : A Cluster Analysis Approach , 2003 .

[8]  H. Kaiser.  The Application of Electronic Computers to Factor Analysis , 1960 .

[9]  D. Puga,et al.  European Regional Policies in Light of Recent Location Theories , 2001 .

[10]  Örjan Pettersson,et al.  Microregional fragmentation in a Swedish county , 2001 .

[11]  Karin Peschel.  Perspectives of regional development around the Baltic Sea* , 1998 .

[12]  Antonio Rúa Vieites,et al.  Distribución municipal de la realidad socioeconómica gallega , 2003 .

[13]  Kevin O'Connor,et al.  A typology of community opportunity and vulnerability in metropolitan Australia , 2001 .

[14]  Mark V. Janikas,et al.  Regional convergence, inequality, and space , 2005 .

[15]  Dario Cziráky,et al.  Regional development assessment: A structural equation approach , 2006, Eur. J. Oper. Res..

[16]  Edward W. Hill,et al.  What is a Central City in the United States? Applying a Statistical Technique for Developing Taxonomies , 1998 .

[17]  C. Thomas-Agnan,et al.  Explaining the pattern of regional unemployment: The case of the Midi-Pyrénées region , 2003 .

[18]  G. W. Milligan,et al.  An examination of the effect of six types of error perturbation on fifteen clustering algorithms , 1980 .

[19]  Philippe Martin,et al.  Subsidies to Poor Regions and Inequalities: Some Unpleasant Arithmetic , 2003 .

[20]  P. Sopp.  Cluster analysis. , 1996, Veterinary immunology and immunopathology.

[21]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.