Smart Growth Path as the Basis for the European Union Countries Typology

Elżbieta Sobczak , Beata Bal-Domańska

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.
Author Elżbieta Sobczak (EMaT / DRE / ZEAR)
Elżbieta Sobczak,,
- Zakład Ekonometrycznych Analiz Regionalnych
, Beata Bal-Domańska (EMaT / DRE / ZEAR)
Beata Bal-Domańska,,
- Zakład Ekonometrycznych Analiz Regionalnych
Pages513-524
Publication size in sheets0.55
Book Lausen Berthold, Krolak-Schwerdt Sabine, Böhmer Matthias (eds.): Data Science, Learning by Latent Structures, and Knowledge Discovery, Studies in Classification, Data Analysis, and Knowledge Organization, 2015, Springer-Verlag, ISBN 978-3-662-44982-0, [978-3-662-44983-7], 560 p., DOI:10.1007/978-3-662-44983-7
Keywords in Englishlearning region, innovation
DOIDOI:10.1007/978-3-662-44983-7_45
Languageen angielski
Score (nominal)15
Publication indicators WoS Citations = 0
Citation count*1 (2019-12-02)
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