A typology of distance-based measures of spatial concentration

Eric Marcon () and Florence Puech ()
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Eric Marcon: UMR ECOFOG - Ecologie des forêts de Guyane - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - AgroParisTech - UG - Université de Guyane - CNRS - Centre National de la Recherche Scientifique - UA - Université des Antilles - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Florence Puech: RITM - Réseaux Innovation Territoires et Mondialisation - UP11 - Université Paris-Sud - Paris 11

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Abstract: Over the last decade, distance-based methods have been introduced and then improved in the field of spatial economics to gauge the geographic concentration of activities. There is a growing literature on this theme including new tools, discussions on their specific properties and various applications. However, there is currently no typology of distance-based methods. This paper fills that gap. The proposed classification helps understand all the properties of distance-based methods and proves that they are variations on the same framework.

Keywords: Spatial concentration; Aggregation; Point patterns; Agglomeration; Economic geography (search for similar items in EconPapers)
Date: 2016-11-09
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00679993v6
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Published in Regional Science and Urban Economics, 2016, 62, pp.56-67. ⟨10.1016/j.regsciurbeco.2016.10.004⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-00679993

DOI: 10.1016/j.regsciurbeco.2016.10.004

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