Endogenous effects and cluster transition: a conceptual framework for cluster policy

Artikel

The clustering of firms in related fields has a positive impact on economic performance and innovative behaviour. The cluster lifecycle model provides a framework in order to add a temporal dimension to this ongoing debate. This model conjectures that clusters undergo various phases, in each of which they exhibit distinct characteristics in terms of size, economic performance and knowledge sourcing pattern. While there is strong evidence of a dynamic interplay between knowledge networks and clusters, we know little about how the structural configurations of a knowledge network engender cluster transition, and how these dynamics can be captured and integrated into policies. First, this paper contributes to this debate by providing a conceptual framework that accounts for cluster evolution based on endogenous micro-forces that are immanent in a knowledge sourcing structure. Secondly, this article underlines the failures of recent network-related cluster policies and discusses how the developed framework alleviates these issues.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Journal: European Planning Studies ; ISSN: 1469-5944 ; Volume: 28 ; Year: 2020 ; Issue: 12 ; Pages: 2508-2531 ; Routledge

Klassifikation und Themen

• Klassifikation: Wirtschaft
• Thema: Cluster lifecycle ; endogenous effects ; cluster actors ; knowledge sourcing network

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Abbasiharofteh, Milad
• Ereignis: Veröffentlichung
• (wann): 2020

Weitere Informationen

• DOI: doi:10.1080/09654313.2020.1724266
• Handle: http://hdl.handle.net/10419/224914
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ