Growing Silicon Valley on a landscape: an agent-based approach to high-tech industrial clusters
AbstractWe propose a Nelson-Winter model with an explicitly defined landscape to study the formation of high-tech industrial clusters such as those in Silicon Valley. The existing literature treats clusters as the result of location choices and focuses on how firms may benefit from locating in a cluster. We deviate from this tradition by emphasizing that high-tech industrial clusters are characterized by concentrated entrepreneurship. We argue that the emergence of clusters can be explained by the social effect through which the appearance of one or a few entrepreneurs inspire many followers locally. Agent-based simulation is employed to show the dynamics of the model. Data from the simulation and the properties of the model are discussed in light of empirical regularities. Variations of the model are simulated to study policies that are favorable to the high-tech economy. Copyright Springer-Verlag Berlin/Heidelberg 2003
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Springer in its journal Journal of Evolutionary Economics.
Volume (Year): 13 (2003)
Issue (Month): 5 (December)
Contact details of provider:
Web page: http://link.springer.de/link/service/journals/00191/index.htm
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Heshmati, Almas & Lenz-Cesar, Flávio, 2013. "Determinants and Policy Simulation of Firms Cooperation in Innovation," IZA Discussion Papers 7487, Institute for the Study of Labor (IZA).
- Leonhard Dobusch & Elke SchÃ¼ï¿½ler, 2013. "Theorizing path dependence: a review of positive feedback mechanisms in technology markets, regional clusters, and organizations," Industrial and Corporate Change, Oxford University Press, vol. 22(3), pages 617-647, June.
- Antonelli Cristiano & Ferraris Gianluigi, 2012. "Endogenous knowledge externalities: an agent based simulation model where schumpeter meets Marshall," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201202, University of Turin.
- Henri L.F. de Groot & Jacques Poot & Martijn J. Smit, 2007. "Agglomeration, Innovation and Regional Development: Theoretical Perspectives and Meta-Analysis," Tinbergen Institute Discussion Papers 07-079/3, Tinbergen Institute.
- Flavio Lenz-Cesar & Almas Heshmati, 2009. "Determinants of Firms Cooperation in Innovation," TEMEP Discussion Papers 200927, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
- Guido Fioretti, 2005. "Agent-Based Models of Industrial Clusters and Districts," Urban/Regional, EconWPA 0504009, EconWPA.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn) or (Christopher F Baum).
If references are entirely missing, you can add them using this form.