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Spatial Point Pattern Analysis and Industry Concentration

  • Reinhold Kosfeld

    ()

    (University of Kassel)

  • Hans-Friedrich Eckey

    (University of Kassel)

  • Jørgen Lauridsen

    (University of Southern Denmark)

Traditional measures of spatial industry concentration are restricted to given areal units. They do not make allowance for the fact that concentration may be differently pronounced at various geographical levels. Methods of spatial point pattern analysis allow to measure industry concentration at a continuum of spatial scales. While common distancebased methods are well applicable for sub-national study areas, they become inefficient in measuring concentration at various levels within industrial countries. This particularly applies in testing for conditional concentration where overall manufacturing is used as a reference population. Using Ripley’s K function approach to second-order analysis, we propose a subsample similarity test as a feasible testing approach for establishing conditional clustering or dispersion at different spatial scales. For measuring the extent of clustering and dispersion, we introduce a concentration index of the style of Besag’s (1977) L function. By contrast to Besag’s L function, the new index can be employed to measure deviations of observed from general spatial point patterns. The K function approach is illustratively applied to measuring and testing industry concentration in Germany.

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File URL: http://www.uni-marburg.de/fb02/makro/forschung/magkspapers/16-2009_kosfeld.pdf
File Function: First version, 2009
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Paper provided by Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung) in its series MAGKS Papers on Economics with number 200916.

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Length: 23 pages
Date of creation: 2009
Date of revision:
Publication status: Forthcoming in
Handle: RePEc:mar:magkse:200916
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  1. Jens Suedekum, 2006. "Concentration and Specialization Trends in Germany since Re-unification," Regional Studies, Taylor & Francis Journals, vol. 40(8), pages 861-873.
  2. Frank Bickenbach & Eckhardt Bode, 2006. "Disproportionality Measures of Concentration, Specialization, and Polarization," Kiel Working Papers 1276, Kiel Institute for the World Economy.
  3. Ron Martin & Peter Sunley, 2002. "Deconstructing Clusters: Chaotic Concept or Policy Panacea," ESRC Centre for Business Research - Working Papers wp244, ESRC Centre for Business Research.
  4. Ellison, G. & Glaeser, E.L., 1994. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Working papers 94-27, Massachusetts Institute of Technology (MIT), Department of Economics.
  5. 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.
  6. Frank Neffke & Martin Svensson Henning & Ron Boschma & Karl-Johan Lundquist & Lars-Olof Olander, 2008. "Who Needs Agglomeration? Varying Agglomeration Externalities and the Industry Life Cycle," Papers in Evolutionary Economic Geography (PEEG) 0808, Utrecht University, Section of Economic Geography, revised Apr 2008.
  7. Beaudry, Catherine & Schiffauerova, Andrea, 2009. "Who's right, Marshall or Jacobs? The localization versus urbanization debate," Research Policy, Elsevier, vol. 38(2), pages 318-337, March.
  8. Michael E. Porter, 2000. "Location, Competition, and Economic Development: Local Clusters in a Global Economy," Economic Development Quarterly, , vol. 14(1), pages 15-34, February.
  9. Björn Alecke, Gerhard Untiedt, 2007. "Clusterförderung und Wirtschaftspolitik - Heilsbringer oder Wolf im Schafspelz?," List Forum Chapter, in: List Forum Band 33, edition 1, volume 2, chapter 5, pages 89-105 List Gesellschaft e.V..
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