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

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  • Milad Abbasiharofteh
Abstract
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.

Suggested Citation

  • Milad Abbasiharofteh, 2020. "Endogenous effects and cluster transition: a conceptual framework for cluster policy," European Planning Studies, Taylor & Francis Journals, vol. 28(12), pages 2508-2531, December.
    • Handle: RePEc:taf:eurpls:v:28:y:2020:i:12:p:2508-2531
    DOI: 10.1080/09654313.2020.1724266
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    Citations

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    Cited by:

    1. Hermans, Frans, 2021. "The contribution of statistical network models to the study of clusters and their evolution," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 100(2), pages 379-403.
    2. Milad Abbasiharofteh & Tom Broekel, 2021. "Still in the shadow of the wall? The case of the Berlin biotechnology cluster," Environment and Planning A, , vol. 53(1), pages 73-94, February.
    3. Abbasiharofteh, Milad & Kogler, Dieter F. & Lengyel, Balázs, 2023. "Atypical combinations of technologies in regional co-inventor networks," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 52(10), pages 1-1.
    4. Gökhan Önder & Cemil Ulukan, 2020. "Innovation and the network position of firms: the case of the Eskişehir–Bilecik–Kütahya ceramic cluster in Turkey," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 589-612, December.
    5. Simensen, Erlend Osland & Abbasiharofteh, Milad, 2022. "Sectoral patterns of collaborative tie formation: Investigating geographic, cognitive, and technological dimensions," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 31(5), pages 1223-1258.
    6. Erlend Osland Simensen & Milad Abbasiharofteh, 2022. "Sectoral patterns of collaborative tie formation: investigating geographic, cognitive, and technological dimensions [Endogenous effects and cluster transition: a conceptual framework for cluster po," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(5), pages 1223-1258.
    7. David Ayrapetyan & Frans Hermans, 2020. "Introducing a Multiscalar Framework for Biocluster Research: A Meta-Analysis," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    8. Stefano Ghinoi & Riccardo Vita & Bodo Steiner & Alessandro Sinatra, 2024. "Family firm network strategies in regional clusters: evidence from Italy," Small Business Economics, Springer, vol. 62(1), pages 87-103, January.

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