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Financial Contagion in Industrial Clusters: A Dynamical Analysis and Network Simulation

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  • Andrea Giovannetti

Abstract

In this work we analyse the resilience of industrial districts to exogenous economic shocks. Firstly, we define a basic industrial district through a set of assumptions which prove to be critical for systemic risk in the event of a financial shock. In the course of the work we progressively relax the assumptions to make room for more complex representations. Consequently, depending on two dimensions of complexity (structure of economic interactions and the degree of heterogeneity of the industrial population), we develop three different models of industrial clusters, employing non-linear ordinary differential equations and percolation dynamics in graph theory. A mechanism of financial contagion is introduced and a threshold condition is derived in order to study each model’s resilience. Eventually, we prove that it is the structure of economic interactions which produces a structural change in the threshold characterization.

Suggested Citation

  • Andrea Giovannetti, 2012. "Financial Contagion in Industrial Clusters: A Dynamical Analysis and Network Simulation," Department of Economics University of Siena 654, Department of Economics, University of Siena.
    • Handle: RePEc:usi:wpaper:654
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    1. Russo, Margherita, 1985. "Technical change and the industrial district: The role of interfirm relations in the growth and transformation of ceramic tile production in Italy," Research Policy, Elsevier, vol. 14(6), pages 329-343, December.
    2. Cristopher Moore & M. E. J. Newman, 2000. "Epidemics and Percolation in Small-World Networks," Working Papers 00-01-002, Santa Fe Institute.
    3. Ann Markusen, 1996. "Sticky Places in Slippery Space: A Typology of Industrial Districts," Economic Geography, Taylor & Francis Journals, vol. 72(3), pages 293-313, July.
    4. Giulio Bottazzi & Giovanni Dosi & Giorgio Fagiolo, 2001. "On the Ubiquitous Nature of the Agglomeration Economies and their Diverse Determinants: Some Notes," LEM Papers Series 2001/10, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Timothy Besley, 1995. "Nonmarket Institutions for Credit and Risk Sharing in Low-Income Countries," Journal of Economic Perspectives, American Economic Association, vol. 9(3), pages 115-127, Summer.
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    More about this item

    Keywords

    diffusion; networks; industrial clusters; crisis;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G01 - Financial Economics - - General - - - Financial Crises
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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