DISTANCE-BASED MEASURES OF SPATIAL CONCENTRATION: INTRODUCING A RELATIVE DENSITY FUNCTION

Abstract : For a decade, distance-based methods have been widely employed and constantly improved in the field of spatial economics. These methods are a very useful tool for accurately evaluating the spatial distribution of plants or retail stores, for example (Duranton and Overman, 2008). In this paper, we introduce a new distance-based statistical measure for evaluating the spatial concentration of economic activities. To our knowledge, the m function is the first relative density function to be proposed in the economics literature. This tool supplements the typology of distance-based methods recently drawn up by Marcon and Puech (2012). By considering several theoretical and empirical examples, we show the advantages and the limits of the m function for detecting spatial structures in economics.
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https://hal.archives-ouvertes.fr/hal-01082178
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Submitted on : Friday, September 16, 2016 - 10:53:27 AM
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  • HAL Id : hal-01082178, version 3

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Gabriel Lang, Eric Marcon, Florence Puech. DISTANCE-BASED MEASURES OF SPATIAL CONCENTRATION: INTRODUCING A RELATIVE DENSITY FUNCTION. 2016. ⟨hal-01082178v3⟩

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