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Economic Performance, Inter-Firm Relations and Local Institutional Engineering in a Computational Prototype of Industrial Districts

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Abstract

Industrial districts can be conceived as complex systems characterised by a network of interactions amongst heterogeneous, localised, functionally integrated and complementary firms. In a previous paper, we have introduced an industrial district computational prototype, showing that the economic performance of an industrial district proceeds to the form through which firms interact and co-ordinate each others. In this paper, we use such computational framework to experiment different options of “local institutional engineeringâ€, trying to understand how specific “supporting institutions†could perform macro-collective activities, such as, i.e., technology research, transfer and information, improving the technological adaptation of firms. Is a district more than a simple aggregation of localised firms? What can explain the economic performance of firms localised into the same space? Could some options of “local institutional engineering†improve the performance of a district? Could such options set aside the problem of how firms dynamically interact? These are questions explored in this paper.

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Article provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.

Volume (Year): 5 (2002)
Issue (Month): 1 ()
Pages: 1

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Handle: RePEc:jas:jasssj:2001-15-2

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Keywords: Agent-Based Computational Model; Industrial Districts; Technological Change; Local Institutional Engineering.;

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Cited by:
  1. Guido Fioretti, 2005. "Agent-Based Models of Industrial Clusters and Districts," Urban/Regional, EconWPA 0504009, EconWPA.
  2. Fiorenza BELUSSI & Luciano PILOTTI & Silvia Rita SEDITA, 2006. "Learning at the boundaries for industrial districts between exploitation of local resources and the exploration of global knowledge flows," Departmental Working Papers, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano 2006-40, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  3. Luciano PILOTTI & Silvia Rita SEDITA, 2005. "Human capital development in a complex learning system: the virtuous interaction between individuals, organizations and communities," Departmental Working Papers, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano 2005-17, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  4. Fiorenza Belussi & Luciano Pilotti & Silvia Rita Sedita, 2006. "Learning at the boundaries for industrial districts between exploitation of local resources and exploration of global knowledge flows," "Marco Fanno" Working Papers 0033, Dipartimento di Scienze Economiche "Marco Fanno".
  5. Federico Pablo-Marti & Juan Luis Santos & Antonio Gacía-Tabuenca & María Teresa Gallo & Tomás Mancha, 2012. "Forecasting and simulation of the impact of public policies on industrial districts using an agent-based model," ERSA conference papers ersa12p553, European Regional Science Association.

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