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Structure and behaviour of a textile industrial district

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  • Guido Fioretti

Abstract

This article presents a model of the structure of information fluxes that underlie the creation of production chains in a textile district located in Prato, Tuscany, central Italy. Contrary to most textile districts in western Europe and north America, Prato did not extinct once average salaries in the re-gion rose well above the world's lowest standards. The reason is that Prato was able to switch from a competitive advantage based on low prices to a competitive advantage based on aesthetical features and variety of textiles. Analysis of the structure of production chains can explain the behaviour of the district throughout its evolution. The model reconstructs interactions of ten types of Pratese firms from 1946 to 1993 in scale 1:1.

Suggested Citation

  • Guido Fioretti, 2001. "Structure and behaviour of a textile industrial district," ICER Working Papers 02-2001, ICER - International Centre for Economic Research.
    • Handle: RePEc:icr:wpicer:02-2001
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    Cited by:

    1. Fioretti, Guido, 2010. "Trajectories in Physical Space out of Communications in Acquaintance Space: An Agent-Based Model of a Textile Industrial District," MPRA Paper 24902, University Library of Munich, Germany.
    2. Guido Fioretti, 2004. "Will industrial districts exploit B2B? A local experience and a general assessment," Netnomics, Springer, vol. 6(3), pages 221-242, December.
    3. 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.
    4. Guido Fioretti, 2005. "Agent-Based Models of Industrial Clusters and Districts," Urban/Regional 0504009, University Library of Munich, Germany.
    5. Albino, Vito & Carbonara, Nunzia & Giannoccaro, Ilaria, 2007. "Supply chain cooperation in industrial districts: A simulation analysis," European Journal of Operational Research, Elsevier, vol. 177(1), pages 261-280, February.
    6. Luca Iandoli & Elio Marchione & Cristina Ponsiglione & Giuseppe Zollo, 2009. "Learning and Structural Properties in Small Firms’ Networks: A Computational Agent-Based Model," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 1(1).
    7. Luca Iandoli & Cristina Ponsiglione & Elio Marchione & Giuseppe Zollo, 2012. "Knowledge exchange processes in Industrial Districts and the emergence of networks," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 231-250, June.
    8. 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.

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