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Agent-based Simulation of Cooperative Innovation

Author

Listed:
  • 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.

Suggested Citation

  • 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.
    • Handle: RePEc:snv:dp2009:201052
    as

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    References listed on IDEAS

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    More about this item

    Keywords

    Collaborative R&D; agent-based simulation; Korean innovation survey;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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