Implications from Swarm Simulation on Industrial Clusters’ Evolution

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This paper argues that the phenomenon of industrial clusters is a kind of complex and dynamic process. With the heterogeneity of firms involved in clusters and their open connections with external environment being reasonably justified, the paper thinks that the evolution of industrial clusters should be observed and studied by the approach of computer simulation. Some factors from inside or outside, local or global, work together to drive the growth and decline of industrial clusters. Some implications are drawn through the analysis of the results by simulations designed on java-swarm platform. Suggestions are proposed accordingly.

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Advanced Materials Research (Volumes 403-408)

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5308-5312

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November 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Porter, M. E. Clusters and the new economics of competition. Harvard Business Review. 1998. 76(6): 77-90.

Google Scholar

[2] Krugman, P. History and Industry Location- the Case of the Manufacturing BeltI. American Economic Review. 1991. 81(2): 80-83.

Google Scholar

[3] Piore, M. J. and C. F. Sabel. The second industrial divide : possibilities for prosperity. New York, Basic Books, (1984).

DOI: 10.2307/1956301

Google Scholar

[4] Becattini, G. Italian Industrial Districts: Problems and Perspectives. International Studies of Management & Organization. 1991. 21(1): 83-90.

DOI: 10.1080/00208825.1991.11656551

Google Scholar

[5] Isard, W. Location and space-economy; a general theory relating to industrial location, market areas, land use, trade, and urban structure. Cambridge, Published jointly by the Technology Press of Massachusetts Institute of Technology and Wiley, (1956).

DOI: 10.2307/1053649

Google Scholar

[6] Camagni, R., R. Capello, et al. Towards sustainable city policy: an economy-environment technology nexus. Ecological Economics. 1998. 24(1): 103-118.

DOI: 10.1016/s0921-8009(97)00032-3

Google Scholar

[7] Camagni, R. and R. Capello. ICTs and territorial competitiveness in the era of internet. Annals of Regional Science. 2005. 39(3): 421-438.

DOI: 10.1007/s00168-005-0244-y

Google Scholar

[8] Granovetter, M. Economic Institutuions as Social Constructions: a Framework for Analysis. Acta Sociologica. 1992. 35(1): 3-11.

DOI: 10.1177/000169939203500101

Google Scholar

[9] Granovetter, M. The impact of social structure on economic outcomes. Journal of Economic Perspectives. 2005. 19(1): 33-50.

DOI: 10.1257/0895330053147958

Google Scholar

[10] Bellandi, M. Local development and embedded large firms. Entrepreneurship & Regional Development: An International Journal. 2001. 13(3): 189 - 210.

DOI: 10.1080/08985620110051103

Google Scholar

[11] Jiménex, K.P., Junquera, B., Why Are Clusters Beneficial? A Review of the Literature, Human Factors and Ergonomics in Manufacturing & Service Industries, 2010. 20(2): 161-173.

DOI: 10.1002/hfm.20207

Google Scholar

[12] Grabher, G. The Weakness of Strong Ties. The Lock-in of Regional Development in the Ruhr Area. In The Embedded Firm. London, Routledge, (1993).

Google Scholar

[13] Markusen, A. Sticky places in slippery space: A typology of industrial districts. Economic Geography. 1996. 72(3): 293-313.

DOI: 10.2307/144402

Google Scholar

[14] Bathelt H, Malmberg A, Maskell P, Clusters and knowledge: local buzz, global pipelines and the process of knowledge creation, Progress in Human Geography, 2004(1).

DOI: 10.1191/0309132504ph469oa

Google Scholar

[15] Arthur, M.B., Defillippi, R.J., Lindsay, V.J., Careers, Communities, and Industry Evolution: Links to Complex Theory. International Journal of Innovation Management, 2001. 5(2): pp.236-256.

DOI: 10.1142/s1363919601000361

Google Scholar