Firms’ embeddedness into knowledge networks has received much attention in the literature. However, little is known about the composition of firms’ ego-networks with respect to different types of proximities. Based on survey data of 295 firms in eight European regions, we show that the...

Governance constitutes elementary supportive infrastructure for regional innovation systems. This paper extends the evolutionary lens of governance into initial industrialization phase and examines the impact of their evolution into regional innovation systems on fostering innovation activities....

The importance of geographical proximity for interaction and knowledge sharing has been discussed extensively in economic geography in recent years. There is increasing consensus that it is just one out of many types of proximities that might be relevant. We argue that proximity may be a crucial...

We propose an evolutionary perspective on the geography of network formation that is grounded in a dynamic proximity framework. In doing so, we root the proximity concept in an evolutionary approach to the geography of innovation networks. We discuss three topics. The first topic focuses on...

The purpose of this working paper is to provide a short overview of actual topics in contemporary research concerned with global, national, regional and local knowledge and innovation dynamics. In the text, we stress the importance to understand the current changes of the global and their...

The paper investigates the impact of R&D subsidies on regional innovation efficiency. Building on a rich panel data set covering 270 German labor market regions and four industries, it is particularly shown that subsidies for R&D cooperation are a suitable policy measure for stimulating the...

Knowledge networks are important to understand learning in industry clusters but surprisingly little is known about what drives the formation, persistence and dissolution of ties. Applying stochastic actor-oriented models on longitudinal relational data from a mature cluster in a medium-tech...

Knowledge networks are important to understand learning in industry clusters but surprisingly little is known about what drives the formation, persistence and dissolution of ties. Applying stochastic actor-oriented models on longitudinal relational data from a mature cluster in a medium-tech...

This paper estimates the impact of interregional knowledge flows on the productivity of research at the regional level. We develop the novel index of ’ego network quality’ in order to measure the value of knowledge that can be accessed from a particular region’s global knowledge network....