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Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods

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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

    (LET - Laboratoire d'économie des transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

Abstract

This study introduces two new measures of spatial concentration. The proposed M functions constitute an extension to Ripley's functions (Ripley, 1976, 1977). They allow the evaluation of the relative geographic concentration and co-location of industries in a non-homogeneous spatial framework. Some rigorous comparisons with similar recently developed tools prove the relevance of the M functions in the field of spatial economics.

Suggested Citation

  • Eric Marcon & Florence Puech, 2009. "Measures of the Geographic Concentration of Industries: Improving Distance-Based Methods," Working Papers halshs-00372617, HAL.
    • Handle: RePEc:hal:wpaper:halshs-00372617
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00372617
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    References listed on IDEAS

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    9. Combes, Pierre-Philippe & Overman, Henry G., 2004. "The spatial distribution of economic activities in the European Union," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 64, pages 2845-2909, Elsevier.
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    12. Eric Marcon & Florence Puech, 2003. "Evaluating the Geographic Concentration of Industries Using Distance-Based Methods," Post-Print halshs-00372646, HAL.
    13. 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.
    14. Eric Marcon & Florence Puech, 2003. "Evaluating the Geographic Concentration of Industries Using Distance-Based Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00372646, HAL.
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    Cited by:

    1. Florent Bonneu & Christine Thomas-Agnan, 2015. "Measuring and Testing Spatial Mass Concentration with Micro-geographic Data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 10(3), pages 289-316, September.
    2. Rémi Louf & Marc Barthelemy, 2016. "Patterns of Residential Segregation," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-20, June.
    3. Edilberto Tiago Almeida & Raul Mota Silveira Neto & Jaime Macedo Brito Bastos & Rubens Lopes Pereira Silva, 2021. "Location patterns of service activities in large metropolitan areas: the Case of São Paulo," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(2), pages 451-481, October.
    4. Giuseppe Arbia & Giuseppe Espa & Diego Giuliani & Maria Michela Dickson, 2017. "Effects of missing data and locational errors on spatial concentration measures based on Ripley’s K-function," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 326-346, July.
    5. Pablo Jensen & Julien Michel, 2011. "Measuring spatial dispersion: exact results on the variance of random spatial distributions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(1), pages 81-110, August.
    6. Marco Gazel & Armin Schwienbacher, 2021. "Entrepreneurial fintech clusters," Small Business Economics, Springer, vol. 57(2), pages 883-903, August.
    7. Catini, Roberto & Karamshuk, Dmytro & Penner, Orion & Riccaboni, Massimo, 2015. "Identifying geographic clusters: A network analytic approach," Research Policy, Elsevier, vol. 44(9), pages 1749-1762.
    8. Katarzyna Kopczewska, 2016. "Comment to XCL co-agglomeration index: Distance-weighted improved DCL index," Papers in Regional Science, Wiley Blackwell, vol. 95(4), pages 903-910, November.
    9. Arbia, G. & Espa, G. & Giuliani, D. & Mazzitelli, A., 2012. "Clusters of firms in an inhomogeneous space: The high-tech industries in Milan," Economic Modelling, Elsevier, vol. 29(1), pages 3-11.
    10. Brad Humphreys & Josh Matti, 2018. "The Spatial Distribution of Urban Consumer Service Firms: Evidence from Yelp Reviews," Working Papers 18-03, Department of Economics, West Virginia University.
    11. Frank P. van den Heuvel & Peter W. de Langen & Karel H. van Donselaar & Jan C. Fransoo, 2014. "Identification of Employment Concentration Areas," European Planning Studies, Taylor & Francis Journals, vol. 22(1), pages 204-226, January.
    12. Xinheng Liu & Ziyuan Pan & Dongli Fang, 2023. "Agglomeration, resource reallocation and domestic value‐added ratio in exports," Growth and Change, Wiley Blackwell, vol. 54(1), pages 182-213, March.

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    Keywords

    Geographic concentration; Distance-based methods; Ripley's K function; M function;
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