A magyar gyors növekedésű vállalatok innovációs hálózatának ágens alapú modellje
An agent-based model of the Hungarian fast-growth firms’ innovation network

Summary/Abstract: Building on previous literature on the role of proximity dimensions in knowledge flows and using the methodology of agent-based modelling, the study introduces an agent-based model that is appropriate for simulating knowledge network formation among fast-growing firms (gazelles). Beyond the effects of various proximity/distance types on knowledge networks, the model includes the dynamic change of social distance. For empirical underpinning of the model, survey data are used on the Hungarian high-tech gazelles’ egocentric network. The advantage of the current database is that it contains information about innovation-related cooperation in general, covering both formal and informal links. Part of the agent-based simulation parameters has been determined by an econometric model, the result of which shows that the geographical, social and technological distance has an impact on innovation-related cooperation. As expected, it is found that the closer the firms are in the sense of different dimensions, the higher the chance for cooperation between them. Organizational proximity is the only investigated proximity dimension that is not significant in the analysis. The policy simulation with the agent based model points out that a successful entrepreneurship policy that increases the number of new firms entering in a sector which is in line with the smart specialization strategy of the region, could significantly increase the density of the knowledge network.

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