Abteilung für Stadt- und Regionalentwicklung Department of Urban and Regional Development

The knowledge economy, learning and innovation have moved to the foreground both in regional and industrial policies in the past decade. Concrete policies were shaped in the past by the linear innovation model (focus on R&D and technology diffusion), and more recently, by “best practice models” of interactive innovation derived from high techand well performing regions. These were often applied in a similar way across many types of regions. In this paper an attempt was made to show that there is no “ideal model“ for innovation policy. Empirical investigations demonstrate that preconditions for innovation, innovation activities and processes, as well networks differ strongly between central, peripheral and old industrial regions. The RIS approach allows to take such differences into account by analysing the strengths and weaknesses of the various subsystems, clusters and the interdependencies within the respective region and beyond. In the present paper we are going to analyse different types of regional innovation systems with respect to their preconditions for innovation, networking and innovation barriers. Based on this classification different policy options and strategies are developed and discussed. Besides high performing regional innovation systems with well developed and dynamic clusters we will deal with situations which are characterised by low levels of clustering, a weak endowment with relevant institutions, fragmentation and “lock in“. We argue that policy approaches will differ – amongst other dimensions – with respect to the weight given to the stimulation of incremental/radical innovations, the orientation on endogenous/exogenous companies and knowledge sources, and the fostering of internal/external networking.