Comparison of two cluster life stages in a synthetic knowledge base
Ebru Mobedi and
Mustafa Tanyeri
European Planning Studies, 2019, vol. 27, issue 9, 1687-1708
Abstract:
Knowledge flows in clusters are highly important since they are related to innovation. Types and spatial levels of knowledge sources have been studied by many scholars. This study examines knowledge sources from evolutionary perspective. Evolutionary Economic Geography suggests that regional industries and their dynamics co-evolve. While conceptual and empirical studies argue that network characteristics take different characteristics throughout time, and that knowledge sources are subject to change, little is known about in what way they change in a synthetic knowledge base. In this study, we examined the knowledge sources in a specific knowledge base throughout time. The study was applied to two clusters in Turkey in a synthetic knowledge base yet in different life stages: emergence and maturity. The network structure was analysed by social network analysis, hypotheses were tested by Mann–Whitney U-Tests. The findings show that although network structure and density change through maturity, the types and spatial levels of knowledge sources do not vary between the two life stages, they keep the same characteristics of their knowledge bases.
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:taf:eurpls:v:27:y:2019:i:9:p:1687-1708
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DOI: 10.1080/09654313.2019.1628182
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