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...

This paper studies the frequency of observing a certain number of firms or employees in a region for a given industry. Various predictions for these frequencies are deduced from theoretical considerations. Then, the empirical distributions of 198 industries in Germany are analysed. It is found...

Local industrial clusters have attracted much attention in the recent economic and geographical literature. A huge number of case studies have been conducted. This paper presents a meta-analysis of the case studies of 159 local industrial clusters in various countries and industries. Based on an...

We investigate company foundations in the German micro technology industry (MST) by means of a spatial-temporal micro-geographic analysis. Our dataset includes the exact location (latitude, longitude) of all German MST firms, relevant research institutions and MST-patent owners including their...

We present a new statistical method that describes the localization patterns of industries in a continuous space. The proposed method does not divide space into subunits whereby it is not affected by the Modifiable Areal Unit Problem (MAUP). Our method fulfils all five criteria for a spatial...

Subsidies for R and D are an important tool of public R and D policy, which motivates extensive scientific analyses and evaluations. The paper adds to this literature by arguing that the effects of R and D subsidies go beyond the extension of organizations’ monetary resources invested...

The paper contributes to the debate on how to measure regions’ innovation performance. On the basis of the concept of regional innovation efficiency, we propose a new measure that eases the issue of choosing between industry-specific or global measures. We argue for the use of a robust...

Distance-based methods for measuring spatial concentration such as the Duranton-Overman index undergo an increasing popularity in the spatial econometrics community. However, a limiting factor for their usage is their computational complexity since both their memory requirements and running-time...

Collaboration over distance is difficult to maintain in innovation projects which require a great deal of regional collaboration. However, patent documents reveal that a number of inventor teams are able to overcome long distances. Earlier literature started to investigate factors, which...

We investigate company foundations in the German micro technology industry by means of a spatial-temporal micro-geographic analysis. In order to deal with our unusual detailed data, we develop a new distance-based framework for a logistic regression that is able to present results in a...