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Measures of the geographic concentration of industries: improving distance-based methods

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  • Eric Marcon
  • Florence Puech
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    File URL: http://hdl.handle.net/10.1093/jeg/lbp056
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    Bibliographic Info

    Article provided by Oxford University Press in its journal Journal of Economic Geography.

    Volume (Year): 10 (2010)
    Issue (Month): 5 (September)
    Pages: 745-762

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    Handle: RePEc:oup:jecgeo:v:10:y:2010:i:5:p:745-762

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    Postal: Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK
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    Cited by:
    1. Eric Marcon & Florence Puech, 2012. "A typology of distance-based measures of spatial concentration," Working Papers halshs-00679993, HAL.
    2. Tobias Scholl & Thomas Brenner & Martin Wendel, 2012. "Evolving localization patterns of company foundations - Evidence from the German MST-industry," Working Papers on Innovation and Space 2012-05, Philipps University Marburg, Department of Geography.
    3. 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.
    4. Tobias Scholl & Thomas Brenner, 2011. "Testing for Clustering of Industries - Evidence from micro geographic data," Working Papers on Innovation and Space 2011-02, Philipps University Marburg, Department of Geography.
    5. Tobias Scholl & Thomas Brenner, 2013. "Optimizing Distance-Based Methods for Big Data Analysis," Working Papers on Innovation and Space 2013-09, Philipps University Marburg, Department of Geography.
    6. MORI Tomoya & Tony E. SMITH, 2013. "A Spatial Approach to Identifying Agglomeration Determinants," Discussion papers 13014, Research Institute of Economy, Trade and Industry (RIETI).
    7. Pim Heijnen & Marco A. Haan & Adriaan R. Soetevent, 2012. "Screening for Collusion: A Spatial Statistics Approach," Tinbergen Institute Discussion Papers 12-058/1, Tinbergen Institute.

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