Distance-based measures of spatial concentration: Introducing a relative density function

Congratulations to Florence Puech for her article “Distance-based measures of spatial concentration: Introducing a relative density function” accepted for publication in The Annals of Regional Science. The article is co-authored with Gabriel Lang and Eric Marcon.

Abstract: For more than a decade, distance-based methods have been widely employed and constantly improved in spatial economics. These methods are a very useful tool for accurately evaluating the spatial distribution of economic activity. We introduce a new distance-based statistical measure for evaluating the spatial concentration of industries. The m function is the first relative density function to be proposed in economics. This tool supplements the typology of distance-based methods recently drawn up by Marcon and Puech (2017). By considering several theoretical and empirical examples, we show the advantages and the limits of the m function for detecting spatial structures in economics.

Reference: Lang Gabriel, Marcon Eric and Florence Puech (forthcoming), Distance-based measures of spatial concentration: Introducing a relative density function, The Annals of Regional Science.

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