TY  - RPRT
        AU  - Heshmati, Almas
AU  - Lenz-Cesar, Flávio
        TI  - Determinants and Policy Simulation of Firms Cooperation in Innovation
        PY  - 2013/Jul/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 7487
        UR  - https://www.iza.org/publications/dp7487
        AB  - 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.
        KW  - innovation networks
KW  - collaborative R&D
KW  - agent-based simulation
KW  - simulation game
KW  - policy strategy
        ER  -