This compilation of papers from a researchproject funded by the German Ministry provides a political perspective andunifying concept of how local industrial clusters can be strengthenedbypolicy measures.The chapters in Part I cover theoretical approaches, thechapters in Part II present case...

We present a new statistical method that detects industrial clusters at a firm level. The proposed method does not divide space into subunits whereby it is not affected by the Modifiable Areal Unit Problem (MAUP). Our metric differs both in its calculation and interpretation from existing...

Measuring the innovation performance of regions or nations has been repeatedly done in the literature. What is missing in the literature is a discussion of what innovation performance of a region means. How do regions or nations contribute really to the innovation output of firms? And how can...

The focus of this study is on integration processes in European R&D by analyzing the spatio-temporal dimension of three different R&D collaboration networks across Europe. These networks cover different types of knowledge creation, namely co-patent networks, project based R&D networks within the...

This paper studies the industry-specific relationship between industrial clustering and firm growth. The literature usually considers industrial clusters as positive for the general economic development of regions. In particular, their relationship with the formation rate of new firms and the...

There is growing evidence that personality traits are spatially clustered across geographic regions and that regionally aggregated personality scores are related to political, economic, social, and health outcomes. However, much of the evidence comes from research that has relied on methods that...

This article presents a spatio-temporal panel vector-autoregressive approach (SptpVAR) as an extended spatial econometric method for analysing spillover effects of regional economic change in time and space. The approach aims to extend the spatial dimension of SpVAR models by capturing the...