Benchmark Value Added Chains and Regional Clusters in German R&D Intensive Industries

Although the phase of euphoria seems to be over, policymakers and regional agencies have maintained their interest in cluster policy. Modern cluster theory provides reasons for positive external effects that may accrue from interaction in a group of proximate enterprises operating in common and rela...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Εκδόθηκε σε:MAGKS - Joint Discussion Paper Series in Economics (Band 37-2014)
Κύριοι συγγραφείς: Kosfeld, Reinhold, Titze, Mirko
Μορφή: Άρθρο
Γλώσσα:Αγγλικά
Έκδοση: Philipps-Universität Marburg 2014
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Περιγραφή
Περίληψη:Although the phase of euphoria seems to be over, policymakers and regional agencies have maintained their interest in cluster policy. Modern cluster theory provides reasons for positive external effects that may accrue from interaction in a group of proximate enterprises operating in common and related fields. While there is some progress in locating clusters, in most cases only limited knowledge on the geographical extent of regional clusters is established. The present paper presents a hybrid approach to cluster identification. While dominant buyer-supplier relations are derived by qualitative input-output analysis (QIOA) from national I-O tables, potential regional clusters are identified by spatial scanning. This procedure is employed to identify clusters of German R&D intensive industries. In a sensitivity analysis, good robustness properties of the hybrid approach are revealed with respect to variations in the quantitative cluster composition.
Φυσική περιγραφή:32 Seiten
ISSN:1867-3678
DOI:10.17192/es2024.0338