Determinants and Policy Simulation of Firms Cooperation in Innovation

Almas Heshmati () and Flávio Lenz-Cesar ()
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Flávio Lenz-Cesar: Brazil Ministry of Communications

No 7487, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: This research introduces an agent-based simulation model representing the dynamic processes of cooperative R&D in the manufacturing sector of South Korea. Firms' behavior is defined according to empirical findings on the Korean Innovation Survey 2005 and captured in a multivariate probit regression model. The econometrics model identifies the determinants on firms' likelihood to participate in cooperation with other organizations when conducting innovation activities. These determinants are translated into simulation parameters which are calibrated to the point that the simulated artificial world are equivalent to the one observed in the real world. The aim of the simulation game is to investigate the differences in sector responses to internal and external changes, including cross-sector spillovers, when applying three different policy strategies to promote cooperation in innovation. The findings indicate possible appropriate (or non-appropriate) policy strategies to be applied depending on the target industries.

Keywords: innovation networks; collaborative R&D; agent-based simulation; simulation game; policy strategy (search for similar items in EconPapers)
JEL-codes: C15 C71 D21 D85 L20 O31 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2013-07
New Economics Papers: this item is included in nep-cmp, nep-cse, nep-ino, nep-knm and nep-sbm
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Forthcoming - published in: Research Evaluation, 2015, 24(3), 293-311.

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