A model of innovation diffusion based on policy incentives

Abstract

This paper introduces policy incentive factors to explore their impact on innovation diffusion in enterprise clusters, and reveals the relationship between policy incentives and innovation adoption ratio through dynamic correlation simulation of policy incentive intensity and the type and scale of enterprise clusters. The research results show that policy incentives have short-term timeliness, and the impact of incentives over time will submerge the impact of interconnected enterprises, and its effect is related to the incentive evaluation value of related node enterprises. In the initial enterprise innovation is more, policy incentives can further enhance the overall innovation adoption ratio, while in the initial enterprise innovation is less, it can only decelerate recession. Besides, the effect of policy incentive is closely related to the type of enterprise cluster. The key factor of that is the choice of incentive intensity should match the type and scale of enterprise cluster. Moreover, the incentive intensity of traditional enterprise cluster is positively correlated with the scale of cluster, while the incentive intensity of innovative enterprise cluster is negatively correlated with the scale of cluster. In addition, the local incentive effect is better than that of overall incentives. Targeted incentives for limited target groups are more conducive to innovation diffusion.