untitled
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<identifier>oai:HAL:hal-01082178v1</identifier>
<datestamp>2015-02-17</datestamp>
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<publisher>HAL CCSD</publisher>
<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) ; Institut national de la recherche agronomique (INRA) - AgroParisTech</contributor>
<contributor>Ecologie des forêts de Guyane (ECOFOG) ; CNRS - Institut national de la recherche agronomique (INRA) - Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] - Université des Antilles et de la Guyane (UAG) - AgroParisTech</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-01082178/document</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01082178</source>
<source>2014</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 - Mathematical and Quantitative Methods/C.C1 - Econometric and Statistical Methods and Methodology: General</subject>
<subject>JEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C60 - General</subject>
<subject>JEL : R - Urban, Rural, Regional, Real Estate, and Transportation Economics/R.R1 - General Regional Economics/R.R1.R12 - Size and Spatial Distributions of Regional Economic Activity</subject>
<subject>[SHS.ECO] Humanities and Social Sciences/Economies and finances</subject>
<type>Preprints, Working Papers, ...</type>
<description lang=en>For a decade, distance-based methods have been largely employed and improved in the field of spatial economics. Such tools are very powerful to evaluate accurately the spatial distribution of plants or retail stores for example (Duranton and Overman, 2008; Jensen and Michel, 2011). In the present paper, we introduce a new statistic measure based on distances to evaluate the spatial concentration of economic activities. As far as we know, the m function is the first relative density function proposed in the economic literature. This tool completes the typology of distance-based methods recently drawn up by Marcon and Puech (2014). By working on several theoretical and empirical examples, we prove the advantages and the limits of the m function to gauge the spatial structures in spatial economics.</description>
<date>2014-11-12</date>
</dc>
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