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Simulating the Evolution of Localised Industrial Clusters - an Identification of the Basic Mechanisms

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Abstract

Localised industrial clusters have received much attention in economic research in the last decade. They are seen as one of the reasons for the economic success of certain regions in comparison to others. This paper studies the evolution of such industrial clusters. To this end, a spatial structure of regions is set up and the entry, exit, and growth of firms within these regions is modelled and studied with the help of simulations. Several mechanisms that are often stated to be important in the context of localised industrial clusters are explicitly modelled. The influence of these mechanisms on the geographical concentration of industries is studied.

Suggested Citation

  • Thomas Brenner, 2001. "Simulating the Evolution of Localised Industrial Clusters - an Identification of the Basic Mechanisms," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-4.
    • Handle: RePEc:jas:jasssj:2000-24-1
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    Citations

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    Cited by:

    1. Oleksandr Laiko & Sergey Kovalenko & Oleksandr Bilousov, 2020. "Prospects For The Development Of Cluster Forms Of Entrepreneurship In Euroregions," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 6(5).
    2. Juan Manuel Larrosa, 2016. "Agentes computacionales y análisis económico," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 18(34), pages 87-113, January-J.
    3. Klaus Wersching, 2007. "Agglomeration in an innovative and differentiated industry with heterogeneous knowledge spillovers," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(1), pages 1-25, June.
    4. Brenner Thomas, 2008. "Cluster dynamics and policy implications," ZFW – Advances in Economic Geography, De Gruyter, vol. 52(1), pages 146-162, October.
    5. Andrew Crawley & Max Munday, 2017. "Priority sectors in city regions? Some issues from a study of the Cardiff Capital Region," Local Economy, London South Bank University, vol. 32(6), pages 576-589, September.
    6. Riccardo Boero & Flaminio Squazzoni, 2005. "Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-6.
    7. Thomas Brenner & Claudia Werker, 2009. "Policy Advice Derived from Simulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-2.
    8. Prenkert, Frans & Følgesvold, Atle, 2014. "Relationship strength and network form: An agent-based simulation of interaction in a business network," Australasian marketing journal, Elsevier, vol. 22(1), pages 15-27.
    9. Albino, Vito & Carbonara, Nunzia & Giannoccaro, Ilaria, 2006. "Innovation in industrial districts: An agent-based simulation model," International Journal of Production Economics, Elsevier, vol. 104(1), pages 30-45, November.
    10. Yang Song & Leo Paul Dana & Ron Berger, 2021. "The entrepreneurial process and online social networks: forecasting survival rate," Small Business Economics, Springer, vol. 56(3), pages 1171-1190, February.
    11. Guido Fioretti, 2005. "Agent-Based Models of Industrial Clusters and Districts," Urban/Regional 0504009, University Library of Munich, Germany.
    12. Maksim Belitski & Sameeksha Desai, 2016. "What drives ICT clustering in European cities?," The Journal of Technology Transfer, Springer, vol. 41(3), pages 430-450, June.

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