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A typology of distance-based measures of spatial concentration

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Author Info

  • Eric Marcon

    (ECOFOG - Ecologie des forêts de Guyane - Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] : UMR93 - CNRS : UMR8172 - Institut national de la recherche agronomique (INRA) : UMR0745 - Université des Antilles et de la Guyane - AgroParisTech)

  • Florence Puech

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

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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 specific properties and various applica-tions. However no typology of distance-based methods exists. This paper fills this gap. The proposed classification helps understanding all properties of distance-based methods and proves that they are variations on the same framework.

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    Bibliographic Info

    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: http://halshs.archives-ouvertes.fr/halshs-00679993
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    Related research

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

    This paper has been announced in the following NEP Reports:

    References

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    1. 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.
    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. 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.
    4. Paulo Guimarães & Octávio Figueiredo & Douglas Woodward, 2011. "Accounting For Neighboring Effects In Measures Of Spatial Concentration," Journal of Regional Science, Wiley Blackwell, vol. 51(4), pages 678-693, October.
    5. Ugo Fratesi, 2008. "Issues in the measurement of localization," Environment and Planning A, Pion Ltd, London, vol. 40(3), pages 733-758, March.
    6. 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.
    7. Giuseppe Arbia & Giuseppe Espa & Danny Quah, 2008. "A class of spatial econometric methods in the empirical analysis of clusters of firms in the space," Empirical Economics, Springer, vol. 34(1), pages 81-103, February.
    8. 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.
    9. Nakajima, Kentaro & Saito, Yukiko Umeno & Uesugi, Iichiro, 2011. "Measuring Economic Localization: Evidence from Japanese Firm-level Data," Working Paper Series 10, Center for Interfirm Network, Institute of Economic Research, Hitotsubashi University.
    10. 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.
    11. 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.
    12. 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.
    13. Duranton, Gilles & Overman, Henry G., 2006. "Exploring the Detailed Location Patters of UK Manufacturing Industries using Microgeographic Data," CEPR Discussion Papers 5858, C.E.P.R. Discussion Papers.
    14. 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.
    15. 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.
    16. Adrian Baddeley & Rolf Turner, . "spatstat: An R Package for Analyzing Spatial Point Patterns," Journal of Statistical Software, American Statistical Association, vol. 12(i06).
    17. 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.
    18. 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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