Abstract
The concept of smart growth integrates activities in the area of smart specialization, creativity and innovation influencing development opportunities of particular European countries. The objective of the paper is to classify the EU countries with regard to smart growth paths by means of multivariate statistical analysis methods. The concept of smart growth path was defined considering the direction and intensity of changes occurring in the area of smart specialization, creativity and innovation. These paths became the basis for the European Union member states classification carried out using cluster analysis methods. The presented analysis is of dynamic nature and allows for the smart growth patterns typology.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Cooke, P., et al. (1997). Regional innovation systems: institutional and organizational dimensions. Research Policy, 26, 475–491.
Florida, R. (1995). Towards the learning region. Futures, 27, 527–536.
Grabiński, S., et al. (1989). Metody taksonomii numerycznej w modelowaniu zjawisk społeczno–gospodarczych [Numerical taxonomy methods in social and economic phenomena modelling]. Warsaw: PWN Publishers.
Hellwig, Z. (1968). Zastosowanie metody taksonomicznej do typologicznego podziału krajów ze wzglȩdu na poziom ich rozwoju oraz zasoby i strukturȩ wykwalifikowanych kadr [The Application of Taxonomic Method for Typological Division of Countries Regarding Their Development Level as Well as the Resources and Structure of Qualified Personnel]. Przegla̧d Statystyczny [Statistical Review], 4, 307–327.
Kukuła, K. (2000). Metoda unitaryzacji zerowej [Normalization with zero minimum method]. Warsaw: PWN Publishers.
Morgan, K. (1997). The Learning region: institutions, innovations and regional renewal. Regional Studies, 31, 491–503.
Pociecha, J. et al. (1988). Metody taksonomiczne w badaniach społeczno–ekonomicznych [Taxonomic Methods in Social and Economic Studies]. PWN Publishers: Warszawa.
Porter, M. E. (1998). The competitive advantage of nations. London: Macmillan.
Walesiak, M. (2006). Uogólniona miara odległości w statystycznej analizie wielowymiarowej [Generalised distance measure in statistical multivariate analysis]. Wrocław: Wrocław University of Economics Publishing House.
Acknowledgements
The study was conducted within the framework of research grant NCN no. 2011/01/B/HS4/04743 entitled: European regional space classification in the perspective of smart growth concept—dynamic approach.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sobczak, E., Bal-Domańska, B. (2015). Smart Growth Path as the Basis for the European Union Countries Typology. In: Lausen, B., Krolak-Schwerdt, S., Böhmer, M. (eds) Data Science, Learning by Latent Structures, and Knowledge Discovery. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44983-7_45
Download citation
DOI: https://doi.org/10.1007/978-3-662-44983-7_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44982-0
Online ISBN: 978-3-662-44983-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)