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<title lang=en>DISTANCE-BASED MEASURES OF SPATIAL CONCENTRATION: INTRODUCING A RELATIVE DENSITY FUNCTION</title>
<creator>Lang, Gabriel</creator>
<creator>Marcon, Eric</creator>
<creator>Puech, Florence</creator>
<contributor>Mathématiques et Informatique Appliquées (MIA-Paris) ; Institut National de la Recherche Agronomique (INRA) - AgroParisTech</contributor>
<contributor>Ecologie des forêts de Guyane (ECOFOG) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD) - Institut National de la Recherche Agronomique (INRA) - Université des Antilles et de la Guyane (UAG) - AgroParisTech - Université de Guyane (UG) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Réseaux Innovation Territoires et Mondialisation (RITM) ; Université Paris-Sud - Paris 11 (UP11)</contributor>
<identifier>hal-01082178</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01082178</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01082178v3/document</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01082178/file/LANG-%20MARCON-PUECH%20-%20m%20-%20HAL%2001082178v3.pdf</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01082178</source>
<source>2016</source>
<language>en</language>
<subject lang=en>Agglomeration</subject>
<subject lang=en>Economic geography</subject>
<subject lang=en>Aggregation</subject>
<subject lang=en>Point patterns</subject>
<subject lang=en>Spatial concentration</subject>
<subject>JEL : C.C1</subject>
<subject>JEL : C.C6.C60</subject>
<subject>JEL : R.R1.R12</subject>
<subject>[SHS.ECO] Humanities and Social Sciences/Economies and finances</subject>
<type>info:eu-repo/semantics/preprint</type>
<type>Preprints, Working Papers, ...</type>
<description lang=en>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.</description>
<date>2016-09-16</date>
</dc>
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