Abstract
We 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.
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References
Anderson ES, Jenson AK, Madsen L, Jorgensen M (1996) The Nelson and Winter models revisited: prototypes for computer-based reconstruction of Schumpeterian competition. DRUID Working Paper No. 96-2
Arthur M (1990) Silicon Valley locational clusters: when do increasing returns imply monopoly? Mathematical Social Sciences 19: 235–273
Axtell R (1999) The emergence of firms in a population of agents: local increasing returns, unstable Nash equilibria, and power law size distributions. Working Paper, Brookings Institution
Axtell R (2001) Zipf distribution of U.S. firm sizes. Science 293: 1818–1820
Christensen CM (1997) The innovator’s dilemma. Harvard Business School Press, Boston, MA
Cooper A, Folta T (2000) Entrepreneurship and high-technology clusters. In: Sexton DL, Landstrom H (eds) The Blackwell handbook of entrepreneurship. Blackwell, Malden, MA
Epstein JM (1999) Agent-based computational models and generative social science. Complexity 4: 41–60
Epstein JM, Axtell R (1996) Growing artificial societies: social science from the bottom up. Brookings Institution Press, Washington, D.C.
Foster RN (1986) Innovation: the attacker’s advantage. Summit Books, New York, NY
Gilson RJ (1999) The legal infrastructure of high technology industrial districts: Silicon Valley, Route 128, and covenants not to compete. New York University Law Review 74: 575–629
Grebel T, Pyka A, Hanusch H (2001) An evolutionary approach to the theory of entrepreneurship. Mimeo, Department of Economics, University of Augsburg
Ijiri Y, Simon HA (1977) Skew distributions and the size of business firms. North-Holland, New York, NY
Kim S (1995) Expansion of markets and the geographic distribution of economic activities: the trends in U.S. regional manufacturing structure, 1860–1987. Quarterly Journal of Economics 110: 881–908
Klepper S (2001) Employee startups in high-tech industries. Industrial and Corporate Change 10: 639–674
Klepper S, Sleeper S (2002) Entry by spinoffs. Papers on Econonmics and Evolution 2002–07, Max Planck Institute for Research into Economic Systems
Krugman P (1991) Geography and trade. MIT Press, Cambridge, MA
Lazerson MH, Lorenzoni G (1999) The firms that feed industrial districts: a return to the Italian source. Industrial and Corporate Change 8: 235–266
Marshall A (1920) Principles of economics, 8th edn., Macmillan, London
Nelson RR, Winter S (1982) An evolutionary theory of economic change. Harvard University Press, Cambridge, MA
Nelson RR (1995) Recent evolutionary theorizing about economic change. Journal of Economic Literature 33: 48–90
Porter ME (1998) Clusters and the new economies of competition. Harvard Business Review 76: 77–90
Sexenian A (1994) Regional advantage: culture and competition in Silicon Valley and Route 128. Harvard University Press, Cambridge, MA
Schelling TC (1971) Dynamic models of segregation. Journal of Mathematical Sociology 1: 143–186
Schumpeter JA (1934) The theory of economic development. Harvard University Press, Cambridge, MA
Sutton J (1997) Gibrat’s legacy. Journal of Economic Literature 35: 40–59
Tesfatsion L (2001) Introduction to the special issue on agent-based computational economics. Journal of Economic Dynamics and Control 25: 281–293
Zhang J (2003) High-tech start-ups and industrial dynamics in Silicon Valley. Public Policy Institute of California, San Francisco, CA
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Zhang, J. (2005). Growing Silicon Valley on a landscape: an agent-based approach to high-tech industrial clusters. In: Cantner, U., Dinopoulos, E., Lanzillotti, R.F. (eds) Entrepreneurships, the New Economy and Public Policy. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26994-0_6
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DOI: https://doi.org/10.1007/3-540-26994-0_6
Publisher Name: Springer, Berlin, Heidelberg
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