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

  • 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

    (LET - Laboratoire d'économie des transports - CNRS - UL2 - Université Lumière - Lyon 2 - École Nationale des Travaux Publics de l'État [ENTPE])

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    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.

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    Paper provided by HAL in its series Working Papers with number halshs-00372617.

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    Date of creation: 01 Apr 2009
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    Handle: RePEc:hal:wpaper:halshs-00372617
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00372617
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    1. Rosenthal, Stuart S. & Strange, William C., 2004. "Evidence on the nature and sources of agglomeration economies," 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 49, pages 2119-2171 Elsevier.
    2. 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.
    3. 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.
    4. Gilles Duranton & Henry Overman, 2002. "Testing for Localisation Using Micro-Geographic Data," CEP Discussion Papers dp0540, Centre for Economic Performance, LSE.
    5. Anthony Briant & Pierre-Philippe Combes & Miren Lafourcade, 2008. "Dots To Boxes: Do The Size And Shape Of Spatial Units Jeopardize Economic Geography Estimations?," PSE Working Papers halshs-00349294, HAL.
    6. Tomoya Mori & Koji Nishikimi & Tony E. Smith, 2004. "A Divergence Statistic for Industrial Localization," KIER Working Papers 587, Kyoto University, Institute of Economic Research.
    7. Haaland, J.I. & Kind, H.J. & knarvik, K.H.M. & Torstensson, J., 1998. "What Determines the Economic Geography of Europe?," Papers 19/98, Norwegian School of Economics and Business Administration-.
    8. 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.
    9. 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.
    10. Ugo Fratesi, 2008. "Issues in the measurement of localization," Environment and Planning A, Pion Ltd, London, vol. 40(3), pages 733-758, March.
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