Simulation of regional knowledge creation in EU and China

The creation of new knowledge is an imperative condition for generating innovation and thus of central importance in a global innovation competition context. However, new knowledge is generally not equally distributed and accessible in geographical space, emphasizing the importance of interactive, collaborative learning processes among organizations of different types located in different geographical spaces (regions) to prevent possible technological lock-ins by tapping region- external knowledge. In this project, we propose an empirically driven Multi-Agent-Based Model for simulating regional knowledge creation in EU and China from a comparative perspective, going beyond empirical studies predominantly employing different types of input-output inspired econometric models. We specifically shift attention to modelling the role of networks and policy interventions for regional knowledge creation dynamics in the two innovation systems. Generally, Applying Multi-Agent-Based Simulation (MABS) in regional science has great potential that is quite under-exploited so far: first, it can reflect spatial heterogeneity (e.g. size, economic characteristics, connectivity) that is ubiquitous in a regional background and second, it enables to depict the behaviors of agents in technology innovation and diffusion. Specifically, the proposed model is designed on a micro level where knowledge creation processes are determined by heterogeneous research agents (e.g. firms, universities or research institutes) each located within a European/Chinese region following certain research strategies, and on a macro level with different R&D network types (e.g. patenting and research collaboration networks) determining the creation and diffusion of knowledge as well as the collaboration behavior of the R&D organizations. With an application of the simulation model to the EU and China, we selected two highly interesting geographical areas, each showing completely different development paths, different overall socio-economic characteristics and conditions, different approaches in policy making and societal systems as a whole, etc. A comparative perspective on the European and Chinese regional knowledge creation mechanisms promises interesting insights in differences in certain impact dimensions. The significance of the proposed research is manifold and can be distinguished in substantive, methodological and policy relevant contributions: The model will be implemented using advanced ICT tools and, will break new ground in the design of such models for concrete real-world applications. Moreover, simulation results will provide a more comprehensive, micro-based understanding of determinants affecting regional knowledge creation and diffusion, and, by this, provides important insights not only in scientific terms, but also in a policy context.

No additional funding sources recorded.