: Piotr Pachura
: Regional Cohesion Effectiveness of Network Structures
: Physica-Verlag
: 9783790823646
: 1
: CHF 87.20
:
: Volkswirtschaft
: English
: 120
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

This book presents an interdisciplinary analysis of EU regional cohesion based on a network and clusters approach. The author explores the question if and how the presence of network structures supports the effectiveness of transformation in EU regions, in particular with a focus on non-pecuniary factors of regional growth. For a theoretical foundation of the topic, characteristics of a networking economy as well as the determinants of EU policies on regional development and innovation are examined and discussed. The empirical analysis at the core of this work presents and makes use of interdisciplinary methodological tools such as Data Envelopment Analysis (DEA), K-means models and self-organizing maps.

Acknowledgements6
Contents7
Chapter 1 Introduction – Thesis and Research Methodology8
Chapter 2 Clustering and Networking in Regional Policy13
2.1 Theoretical Aspects of Networking in the Knowledge Economy13
2.2 EU Innovation Policy Based on Clustering27
Chapter 3 Cluster and Network Approach in Regional Development38
3.1 Clusters – Theoretical Assumption38
3.2 Innovative Networks of Interaction in the Models of Regional Development46
Chapter 4 Regional Disparities in EU53
4.1 Statistic Focus on EU Social–Economic Cohesion53
4.1.1 EU – 15 and Pre-Accession Countries53
4.1.2 Regional Potential of Innovativeness65
Chapter 5 Regional Clustering Based on Efficiency and Networking Models69
5.1 Models of EU Regional Efficiency70
5.1.1 Methodology of the Research Based on Data Envelopment Analysis (DEA)70
5.1.2 Presentation and Interpretation of Research Results84
5.2 Identification of EU Regional Efficiency Clusters96
5.2.1 K-Means Model Methodology in Regional Clustering96
5.2.2 Presentation and Interpretation of Research Results100
5.3 Summary of Research Results104
5.3.1 Verification of Findings Using the Self Organizing Map Method104
5.3.2 Conclusion of Findings111
Bibliography120