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Innovation in industrial districts: An agent-based simulation model

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  • Albino, Vito
  • Carbonara, Nunzia
  • Giannoccaro, Ilaria
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    Bibliographic Info

    Article provided by Elsevier in its journal International Journal of Production Economics.

    Volume (Year): 104 (2006)
    Issue (Month): 1 (November)
    Pages: 30-45

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    Handle: RePEc:eee:proeco:v:104:y:2006:i:1:p:30-45

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    Web page: http://www.elsevier.com/locate/ijpe

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    References

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    1. Tesfatsion, Leigh S., 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," Staff General Research Papers 5075, Iowa State University, Department of Economics.
    2. Maskell, Peter & Malmberg, Anders, 1999. "Localised Learning and Industrial Competitiveness," Cambridge Journal of Economics, Oxford University Press, vol. 23(2), pages 167-85, March.
    3. Robert Axelrod, 1997. "Advancing the Art of Simulation in the Social Sciences," Working Papers 97-05-048, Santa Fe Institute.
    4. Carbonara, Nunzia & Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo, 2002. "Supply chains within industrial districts: A theoretical framework," International Journal of Production Economics, Elsevier, vol. 76(2), pages 159-176, March.
    5. Belussi, Fiorenza & Arcangeli, Fabio, 1998. "A typology of networks: flexible and evolutionary firms," Research Policy, Elsevier, vol. 27(4), pages 415-428, August.
    6. Baptista, Rui, 2000. "Do innovations diffuse faster within geographical clusters?," International Journal of Industrial Organization, Elsevier, vol. 18(3), pages 515-535, April.
    7. Thomas Brenner, 2001. "Simulating the Evolution of Localised Industrial Clusters - an Identification of the Basic Mechanisms," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 4.
    8. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
    9. Midgley, David F. & Morrison, Pamela D. & Roberts, John H., 1992. "The effect of network structure in industrial diffusion processes," Research Policy, Elsevier, vol. 21(6), pages 533-552, December.
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    Cited by:
    1. Heshmati, Almas & Lenz-Cesar, Flávio, 2014. "Policy Simulation of Firms Cooperation in Innovation," Working Paper Series in Economics and Institutions of Innovation 357, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    2. Giulio Cainelli & Sandro Montresor & Giuseppe Vittucci Marzetti, 2010. "Production and financial linkages in inter-firm networks: structural variety, risk-sharing and resilience," Department of Economics Working Papers 1017, Department of Economics, University of Trento, Italia.
    3. 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.
    4. Flavio Lenz-Cesar & Almas Heshmati, 2010. "Agent-based Simulation of Cooperative Innovation," TEMEP Discussion Papers 201052, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jan 2010.
    5. Yusuf, Yahaya Y. & Musa, Ahmed & Dauda, Mohammed & El-Berishy, Nagham & Kovvuri, Dharma & Abubakar, Tijjani, 2014. "A study of the diffusion of agility and cluster competitiveness in the oil and gas supply chains," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 498-513.
    6. Heshmati, Almas & Lenz-Cesar, Flávio, 2013. "Determinants and Policy Simulation of Firms Cooperation in Innovation," IZA Discussion Papers 7487, Institute for the Study of Labor (IZA).
    7. Kusiak, Andrew, 2009. "Innovation: A data-driven approach," International Journal of Production Economics, Elsevier, vol. 122(1), pages 440-448, November.

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