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Agent-based Simulation of Cooperative Innovation

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  • Flavio Lenz-Cesar
  • Almas Heshmati

    ()
    (Technology Management, Economics, and Policy Program (TEMEP), Seoul National University)

Abstract

This paper introduces an agent-based simulation model representing the dynamic processes of cooperative R&D in the manufacturing sector of South Korea. Firms¡¯ behaviors were defined according to empirical findings on a dataset from the internationally standardized Korean Innovation Survey in 2005. Simulation algorithms and parameters were defined based on the determinants on firms¡¯ likelihood to participate in cooperation with other firms when conducting innovation activities. The calibration process was conducted to the point where artificially generated scenarios were equivalent to the one observed in the real world. The aim of this simulation game was to create a basic implementation that could be extended to test different policies strategies in order to observe sector responses (including cross-sector spillovers) when promoting cooperative innovation.

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Bibliographic Info

Paper provided by Seoul National University; Technology Management, Economics, and Policy Program (TEMEP) in its series TEMEP Discussion Papers with number 201052.

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Length: 25 pages
Date of creation: Jan 2010
Date of revision: Jan 2010
Handle: RePEc:snv:dp2009:201052

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Keywords: Collaborative R&D; agent-based simulation; Korean innovation survey;

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  1. Bayona, Cristina & Garcia-Marco, Teresa & Huerta, Emilio, 2001. "Firms' motivations for cooperative R&D: an empirical analysis of Spanish firms," Research Policy, Elsevier, vol. 30(8), pages 1289-1307, October.
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  11. Bernhard Dachs & Bernd Ebersberger & Andreas Pyka, 2004. "Why do Firms Co-operate for Innovation? - A comparison of Austrian and Finnish CIS 3 results," Discussion Paper Series 255, Universitaet Augsburg, Institute for Economics.
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  13. Sakakibara, Mariko, 2001. "Cooperative research and development: who participates and in which industries do projects take place?," Research Policy, Elsevier, vol. 30(7), pages 993-1018, August.
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  15. Andreas Pyka & Nigel Gilbert & Petra Ahrweiler, 2006. "Simulating Knowledge-Generation and -Distribution Processes in Innovation Collaborations and Networks," Discussion Paper Series 287, Universitaet Augsburg, Institute for Economics.
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  18. Giorgio Fagiolo & Alessio Moneta & Paul Windrum, 2007. "A Critical Guide to Empirical Validation of Agent-Based Models in Economics: Methodologies, Procedures, and Open Problems," Computational Economics, Society for Computational Economics, vol. 30(3), pages 195-226, October.
  19. Czarnitzki, Dirk & Fier, Andreas, 2003. "Publicly Funded R&D Collaborations and Patent Outcome in Germany," ZEW Discussion Papers 03-24, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  20. Peter Midmore & Max Munday & Annette Roberts, 2006. "Assessing industry linkages using regional input-output tables," Regional Studies, Taylor & Francis Journals, vol. 40(3), pages 329-343.
  21. Flavio Lenz-Cesar & Almas Heshmati, 2009. "Determinants of Firms Cooperation in Innovation," TEMEP Discussion Papers 200927, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
  22. Petra Ahrweiler & Andreas Pyka & Nigel Gilbert, 2004. "Simulating knowledge dynamics in innovation networks (SKIN)," Discussion Paper Series 267, Universitaet Augsburg, Institute for Economics.
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