In this paper, we propose a non-cumulative function for evaluating the spatial concentration of economic activity. This function, which we have called the M marginal function, comes from the tradition of spatial statistics but, at the same time, incorporates some key features from the economic...

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 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...

This paper, by using annual surveys of manufacturing firms from 1998 to 2005 in China, first documents a positive correlation between industrial agglomeration and firm size, which is previously found in developed economies. Next, by using the instrumental variable estimations, we identify that...

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 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...