Regional Knowledge Creation in a Global Industry: An Empirical Agent-Based Model of the Austrian Semiconductor Industry

Abstract

Existing methods for ex-ante impact assessment of policy measures in the field of research, technology and innovation (RTI) often lack transparency or just extrapolate current trends, neglecting real-world complexities. In our paper we address this research gap by developing an empirical agent-based model (ABM) of knowledge creation, focusing on technological evolution, collaboration dynamics and interactive learning. The model resembles a geographically bounded system of firms and research organizations embedded in a global industrial structure. Focusing on the Austrian semiconductor industry and using patent and company data as well as expert knowledge, we apply an elaborate validation and calibration strategy including econometric techniques to provide a sound empirical basis for the model. The simulated policy scenarios refer to different instruments within an envisaged RTI policy program in Austria. The results suggest the importance of a coordinated policy mix of national capacity building and support for international networking.