Frédéric Gaschet

Regional Innovation Systems and Economic Performance: Between Regions and Nations

Abstract This article aims at assessing the diversity of regional innovation systems and their economic performance in Europe. We propose to adapt the social systems of innovation and production (SSIP) framework at the regional level by identifying the specific arrangements of each part of the innovation and production system. Three key features of European regions are investigated using this framework: the diversity of regional SSIP, the interplay of regional and national determinants of such systems, and the impact of SSIP on regional performance. We identify a typology of regional configurations resulting from the combination of scientific, technological, educational and industrial indicators, using multivariate data analysis. A variance analysis approach is then developed in order to test the existence of specific regional growth regimes. The results highlight a persistently high level of diversity of regional configurations, notably among knowledge intensive regions, but also show that national institutional settings remain of fundamental importance in shaping a number of regional configurations. A final conclusion relates to the weak correlation observed between the structural characteristics of regions and their performance over the 2003–2007 period: regional performance remains primarily shaped by national trends. Overall, the paper questions the regional dimension of these “systems”.

Related variety and the dynamics of European photonic clusters

ABSTRACT This article aims at assessing the role of related variety, that is, the relatedness of knowledge bases used by different sectors within a region, as a major driver of clusters’ development. Some recent theoretical papers underline the role of clusters as ‘knowledge platforms’ organizing the recombination of technologies in overlapping industries, following the seminal definition of clusters by Porter as ‘geographic concentrations of linked industries’. In order to investigate the role of related variety in cluster dynamics, we analyse the patterns of development of clusters specializing in photonics in Europe. Photonics constitutes a new and rapidly evolving set of technologies with a high expected degree of technological recombination. However, due to inadequate traditional sectoral classifications, we propose an original method to delineate the perimeter of photonics in patent databases. A two-step algorithm is then used to identify systematically photonic clusters in Western Europe at the local level. In the last part of the paper, a typology of technological trajectories of clusters over the last decades is developed and then correlated with a set of quantitative measures of technological relatedness. The results highly confirm the role of related variety as a major driver of success, particularly for the biggest European clusters.