University–Industry Collaborative Innovation Evolutionary Game and Simulation Research: The Agent Coupling and Group Size View

Abstract

Based on the evolutionary game theory, this paper explores the evolutionary stable strategy (ESS) of university-industry collaborative innovation. By utilizing MATLAB software, the analysis of the influence of agent coupling degree, group size, and government policies on the stable evolution of university-industry collaborative innovation is taken into account, while simulating. Our findings indicate that, first, agent coupling degree is positively and nonlinearly related to the stable evolution of university-industry collaborative innovation; second, when an enterprise's size is equal to university's, group size is more significant to the stable evolution of university-industry collaborative innovation than agent coupling degree; third, when a group size of an enterprise and university is different, the combinations of agent coupling degree and group size have various effects on the stable evolution of enterprise group and university group; and fourth, government policies have a significantly positive impact on the stable evolution of university-industry collaborative innovation, and incentive measures are more effective than punitive ones. Research conclusions have developed the relationship among university-industry collaborative innovation agents, expanded the boundary of the stability study of collaborative innovation, and provided new ideas for improving the effectiveness of government innovation policies.