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...

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...

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...

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...

This paper studies the industry-specific relationship between industrial clustering and firm growth. Micro-geographically defined agglomeration measures, free of the modifiable areal unit problem (MAUP), are used to study 23 industries. The spatial impacts of agglomeration of related economic...

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...

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...

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...

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...