Abstract
We address the question of measuring and testing industrial spatial concentration based on micro-geographic data with distance based methods. We discuss the basic requirements for such measures and we propose four additional requirements. We also discuss the null assumptions classically used for testing aggregation of a particular sector and propose an alternative point of view. Our general index measure involves a cumulative and a non-cumulative version. This allows us to propose an alternative version of the Duranton Overman index with a proper baseline as well as a cumulative version of this same index. We illustrate the approach with some simulated data.
Keywords
Spatial concentration; marked point processes; agglomeration; spatial clusters;
Replaces
Christine Thomas-Agnan, and Florent Bonneu, “Measuring and testing spatial mass concentration with micro-geographic data”, TSE Working Paper, n. 14-474, January 2014.
Reference
Christine Thomas-Agnan, and Florent Bonneu, “Measuring and testing spatial mass concentration with micro-geographic data”, Spatial Economic Analysis, 2015, pp. 289–316.
See also
Published in
Spatial Economic Analysis, 2015, pp. 289–316