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Assessing the Localization Pattern of German Manufacturing & Service Industries - A Distance Based Approach

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  • Hyun-Ju Koh

    ()
    (University of Munich)

  • Nadine Riedel

    ()
    (Oxford University Centre for Business Taxation)

Abstract

This paper assesses the agglomeration pattern of four-digit industries in Germany using a rich data set on the population of German firms. To identify geographical agglomeration, we follow the distance based approach of Duranton and Overman (2005) and find that the location pattern of 78% of our industries departs from randomness in the sense that firms exhibit significant geographical localization. In line with previous studies on manufacturing firms in the UK and France, our analysis suggests that especially traditional manufacturing industries exhibit strong localization patterns. Moreover, we find that geographical localization is not restricted to the manufacturing sector but that it plays an equally, or even more important role in service industries.

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Bibliographic Info

Paper provided by Oxford University Centre for Business Taxation in its series Working Papers with number 0913.

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Date of creation: 2009
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Handle: RePEc:btx:wpaper:0913

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Keywords: Geographic concentration; agglomeration;

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  1. Björn Alecke & Christoph Alsleben & Frank Scharr & Gerhard Untiedt, 2006. "Are there really high-tech clusters? The geographic concentration of German manufacturing industries and its determinants," The Annals of Regional Science, Springer, vol. 40(1), pages 19-42, March.
  2. Helsley, Robert W. & Strange, William C., 1990. "Matching and agglomeration economies in a system of cities," Regional Science and Urban Economics, Elsevier, vol. 20(2), pages 189-212, September.
  3. Gilles Duranton & Henry G. Overman, 2005. "Testing for localization using micro-geographic data," LSE Research Online Documents on Economics 581, London School of Economics and Political Science, LSE Library.
  4. Michael Devereux & Rachel Griffith & Helen Simpson, 1999. "The geographic distribution of production activity in the UK," IFS Working Papers W99/26, Institute for Fiscal Studies.
  5. Edward L. Glaeser & David C. Mare, 1994. "Cities and Skills," NBER Working Papers 4728, National Bureau of Economic Research, Inc.
  6. Guy Dumais & Glenn Ellison & Edward L. Glaeser, 2002. "Geographic Concentration As A Dynamic Process," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 193-204, May.
  7. Bjoern Alecke & Gerhard Untiedt, 2006. "Die geografische Konzentration von Industrie und Dienstleistungen in Deutschland. Neue empirische Evidenz mittels des Ellison-Glaeser-Index," Working Papers 2-2006, GEFRA - Gesellschaft fuer Finanz- und Regionalanalysen.
  8. Duranton, Gilles & Puga, Diego, 2003. "Microfoundations of Urban Agglomeration Economies," CEPR Discussion Papers 4062, C.E.P.R. Discussion Papers.
  9. E. D. Gould, 2007. "Cities, Workers, and Wages: A Structural Analysis of the Urban Wage Premium," Review of Economic Studies, Oxford University Press, vol. 74(2), pages 477-506.
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Cited by:
  1. Tobias Scholl & Thomas Brenner, 2013. "Detecting Spatial Clustering Using a Firm-Level Index," Working Papers on Innovation and Space 2012-02, Philipps University Marburg, Department of Geography.
  2. 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.

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