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Identifying Clusters within R&D Intensive Industries Using Local Spatial Methods

Author

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  • Reinhold Kosfeld

    () (University of Kassel)

  • Jorgen Lauridsen

    (Southern University of Denmark)

Abstract

More recently, there has been a renewed interest in cluster policies for supporting industrial and regional development. By virtue of the linkage between growth and innovation, R&D intensive industries play a crucial role in cluster development strategies. Empirical cluster research has to contribute to the understanding the process of cluster formation. Some experiences with the use of local spatial methods like local Moran’s Ii and Getis-Ord Gi tests in pattern recognition are already available. However, up to now the utilisation of spatial scan techniques in detecting economic clusters is largely ignored (Kang, 2010). In this paper, the performance of the above-mentioned local spatial methods in identifying German R&D clusters is studied. Differences in cluster detection across the tests are traced. In particular, the contribution of Kulldorff’s spatial scan test in detecting industry clusters is critically assessed.

Suggested Citation

  • Reinhold Kosfeld & Jorgen Lauridsen, 2012. "Identifying Clusters within R&D Intensive Industries Using Local Spatial Methods," MAGKS Papers on Economics 201214, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  • Handle: RePEc:mar:magkse:201214
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    File URL: https://www.uni-marburg.de/fb02/makro/forschung/magkspapers/14-2012_kosfeld.pdf
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    References listed on IDEAS

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    1. Feldman, Maryann P. & Audretsch, David B., 1999. "Innovation in cities:: Science-based diversity, specialization and localized competition," European Economic Review, Elsevier, vol. 43(2), pages 409-429, February.
    2. Lafourcade, Miren & Mion, Giordano, 2007. "Concentration, agglomeration and the size of plants," Regional Science and Urban Economics, Elsevier, vol. 37(1), pages 46-68, January.
    3. Rebecca Henderson & Adam B. Jaffe & Manuel Trajtenberg, 1998. "Universities As A Source Of Commercial Technology: A Detailed Analysis Of University Patenting, 1965-1988," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 119-127, February.
    4. Luisito BERTINELLI & Rosella NICOLINI, 2002. "Investment decision and the spatial dimension : Evidence from firm level data," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 2002007, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    5. LE GALLO, Julie & ERTUR, Cem, 2000. "Exploratory spatial data analysis of the distribution of regional per capita GDP in Europe, 1980-1995," LATEC - Document de travail - Economie (1991-2003) 2000-09, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    6. Glaeser, Edward L & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1992. "Growth in Cities," Journal of Political Economy, University of Chicago Press, vol. 100(6), pages 1126-1152, December.
      • Edward L. Glaeser & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1991. "Growth in Cities," NBER Working Papers 3787, National Bureau of Economic Research, Inc.
      • Glaeser, Edward Ludwig & Kallal, Hedi D. & Scheinkman, Jose A. & Shleifer, Andrei, 1992. "Growth in Cities," Scholarly Articles 3451309, Harvard University Department of Economics.
    7. Bertinelli, Luisito & Nicolini, Rosella, 2005. "R&D Investments and the Spatial Dimension: Evidence from Firm Level Data," The Review of Regional Studies, Southern Regional Science Association, vol. 35(2), pages 206-230.
    8. 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, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Apr 2008.
    9. Edward Feser & Stuart Sweeney & Henry Renski, 2005. "A Descriptive Analysis of Discrete U.S. Industrial Complexes," Journal of Regional Science, Wiley Blackwell, vol. 45(2), pages 395-419.
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    Cited by:

    1. Ben Said FOUED, 2015. "Tunisian Coastal Cities Attractiveness And Amenities," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 10(3), pages 49-70, August.
    2. Ben said, Foued, 2014. "Tunisian Coastal Cities Attractiveness and Amenities," MPRA Paper 52969, University Library of Munich, Germany.

    More about this item

    Keywords

    Spatial Clusters; R&D Intensive Industries; Local Spatial Methods; Spatial Scan Test;

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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