Smart specialization policies: innovative performance models from European regions

ABSTRACT

This research seeks to identify the factors that best explain the performance of regional innovation in Europe, in the era of smart specialization. Data were collected from the Regional Innovation Scoreboard 2016 and a quantitative methodology was followed using linear regressions as statistical methods. The results allowed us to reach four explanatory models of performance innovation for Innovative Regions Leader, Strong, Moderate and Modest. Some policies have also been suggested as possible regional innovation measures that can help policy makers to clarify and improve the innovation performance of these regions.     

Network Structures in Regional Innovation Systems

While interactive learning and inter-organizational relations are the fundamental building blocks in regional innovation system (RIS) theory, the framework is rarely related to investigations of regional knowledge network structures, because in RIS literature relational structures and interaction networks are discussed in a rather fuzzy and generic manner, with the “network term” often being used rather metaphorically. This paper contributes to the literature by discussing theoretical arguments about interactions and knowledge exchange relations in the RIS literature from the perspective of social network analysis. More precise, it links network-theoretical concepts and insights to the well-known classification of RIS types by Cooke [(2004) Introduction: Regional innovation systems – an evolutionary approach, in: P. Cooke, M. Heidenreich & H.-J. Braczyk (Eds) Regional Innovation Systems: The Role of Governances in a Globalized World, 2nd ed., pp. 1–18 (London: UCL Press)]. We thereby exemplarily show how the RIS literature and the literature on regional knowledge networks can benefit from considering insights of the respective other.     

Comparison of two cluster life stages in a synthetic knowledge base

ABSTRACT

Knowledge flows in clusters are highly important since they are related to innovation. Types and spatial levels of knowledge sources have been studied by many scholars. This study examines knowledge sources from evolutionary perspective. Evolutionary Economic Geography suggests that regional industries and their dynamics co-evolve. While conceptual and empirical studies argue that network characteristics take different characteristics throughout time, and that knowledge sources are subject to change, little is known about in what way they change in a synthetic knowledge base. In this study, we examined the knowledge sources in a specific knowledge base throughout time. The study was applied to two clusters in Turkey in a synthetic knowledge base yet in different life stages: emergence and maturity. The network structure was analysed by social network analysis, hypotheses were tested by Mann–Whitney U-Tests. The findings show that although network structure and density change through maturity, the types and spatial levels of knowledge sources do not vary between the two life stages, they keep the same characteristics of their knowledge bases.