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A typology of distance-based measures of spatial concentration

  • Eric Marcon

    ()

    (ECOFOG - Ecologie des forêts de Guyane - UAG - Université des Antilles et de la Guyane - AgroParisTech - Institut national de la recherche agronomique (INRA) - CIRAD - Centre de coopération internationale en recherche agronomique pour le développement - CNRS)

  • Florence Puech

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

Registered author(s):

    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.

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    File URL: https://halshs.archives-ouvertes.fr/halshs-00679993v3/document
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    Paper provided by HAL in its series Working Papers with number halshs-00679993.

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    Date of creation: 2012
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    Handle: RePEc:hal:wpaper:halshs-00679993
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00679993v3
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    1. Kristian Behrens & Théophile Bougna, 2013. "An Anatomy of the Geographical Concentration of Canadian Manufacturing Industries," Cahiers de recherche 1327, CIRPEE.
    2. Glenn Ellison & Edward L. Glaeser, 1994. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," NBER Working Papers 4840, National Bureau of Economic Research, Inc.
    3. Gilles Duranton & Henry G Overman, 2006. "Exploring the Detailed Location Patterns of UK Manufacturing Industries using Microgeographic Data," Working Papers tecipa-248, University of Toronto, Department of Economics.
    4. Eric Marcon & Florence Puech, 2003. "Evaluating the geographic concentration of industries using distance-based methods," Journal of Economic Geography, Oxford University Press, vol. 3(4), pages 409-428, October.
    5. Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," Review of Economic Studies, Oxford University Press, vol. 72(4), pages 1077-1106.
    6. A. J. Baddeley, 2000. "Non- and semi-parametric estimation of interaction in inhomogeneous point patterns," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 54(3), pages 329-350.
    7. Nakajima, Kentaro & Saito, Yukiko Umeno & Uesugi, Iichiro, 2012. "Measuring economic localization: Evidence from Japanese firm-level data," Journal of the Japanese and International Economies, Elsevier, vol. 26(2), pages 201-220.
    8. Ugo Fratesi, 2008. "Issues in the measurement of localization," Environment and Planning A, Pion Ltd, London, vol. 40(3), pages 733-758, March.
    9. Giuseppe Arbia & Giuseppe Espa & Danny Quah, 2007. "A class of spatial econometric methods in the empirical analysis of clusters of firms in the space," Department of Economics Working Papers 0705, Department of Economics, University of Trento, Italia.
    10. Barlet, M. & Briant, A. & Crusson, L., 2013. "Location patterns of service industries in France: A distance-based approach," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 338-351.
    11. Pablo Jensen & Julien Michel, 2011. "Measuring spatial dispersion: exact results on the variance of random spatial distributions," The Annals of Regional Science, Springer, vol. 47(1), pages 81-110, August.
    12. Reinhold Kosfeld & Hans-Friedrich Eckey & Jørgen Lauridsen, 2011. "Spatial point pattern analysis and industry concentration," The Annals of Regional Science, Springer, vol. 47(2), pages 311-328, October.
    13. Adrian Baddeley & Rolf Turner, . "spatstat: An R Package for Analyzing Spatial Point Patterns," Journal of Statistical Software, American Statistical Association, vol. 12(i06).
    14. Cutrini, Eleonora, 2009. "Using entropy measures to disentangle regional from national localization patterns," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 243-250, March.
    15. Dietrich Stoyan, 2000. "Improving Ratio Estimators of Second Order Point Process Characteristics," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 27(4), pages 641-656.
    16. Glenn Ellison & Edward L. Glaeser & William R. Kerr, 2010. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," American Economic Review, American Economic Association, vol. 100(3), pages 1195-1213, June.
    17. Eric Marcon & Florence Puech, 2010. "Measures of the geographic concentration of industries: improving distance-based methods," Journal of Economic Geography, Oxford University Press, vol. 10(5), pages 745-762, September.
    18. Paulo Guimarães & Octávio Figueiredo & Douglas Woodward, 2009. "Accounting for Neighboring Effects in Measures of Spatial Concentration," FEP Working Papers 353, Universidade do Porto, Faculdade de Economia do Porto.
    19. 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.
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