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A typology of distance-based measures of spatial concentration

Author

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  • Eric Marcon

    () (ECOFOG - Ecologie des forêts de Guyane - CIRAD - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - INRA - Institut National de la Recherche Agronomique - UAG - Université des Antilles et de la Guyane - AgroParisTech - CNRS - Centre National de la Recherche Scientifique)

  • Florence Puech

    (RITM - Réseaux Innovation Territoires et Mondialisation - UP11 - Université Paris-Sud - Paris 11)

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.

Suggested Citation

  • Eric Marcon & Florence Puech, 2012. "A typology of distance-based measures of spatial concentration," Working Papers halshs-00679993, HAL.
  • Handle: RePEc:hal:wpaper:halshs-00679993
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00679993v6
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    References listed on IDEAS

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    5. Giuseppe Espa & Diego Giuliani & Giuseppe Arbia, 2010. "Weighting Ripley�s K-function to account for the firm dimension in the analysis of spatial concentration," Department of Economics Working Papers 1012, Department of Economics, University of Trento, Italia.
    6. Behrens, Kristian & Bougna, Théophile, 2015. "An anatomy of the geographical concentration of Canadian manufacturing industries," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 47-69.
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    8. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
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    Cited by:

    1. Ludwig von Auer & Andranik Stepanyan & Mark Trede, 2016. "Classifying Industries Into Types of Relative Concentration," CQE Working Papers 5516, Center for Quantitative Economics (CQE), University of Muenster.
    2. Ludwig von Auer & Andranik Stepanyan & Mark Trede, 2016. "Classifying Industries Into Types of Relative Concentration," Research Papers in Economics 2016-13, University of Trier, Department of Economics.
    3. Tobias Scholl & Thomas Brenner, 2015. "Optimizing distance-based methods for large data sets," Journal of Geographical Systems, Springer, vol. 17(4), pages 333-351, October.
    4. Andranik Stepanyan & Ludwig von Auer & Mark Trede, 2015. "Regional Concentration and Confidence Regions," ERSA conference papers ersa15p564, European Regional Science Association.

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    Keywords

    Spatial concentration; Aggregation; Point patterns; Agglomeration; Economic geography;

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