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Bivariate K functions as instruments to analyze inter-industrial concentration processes

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  • Hans-Friedrich Eckey
  • Reinhold Kosfeld
  • Alexander Werner

Abstract

Während zur Messung von räumlicher Konzentration ökonomischer Aktivitäten verschiedene Verfahren zur Verfügung stehen, sind kaum Methoden zur Beurteilung des Phänomens von Co-Agglomeration und Abstoßung verschiedener Industrien verfügbar. Traditionelle bivariate Konzepte greifen meist zu kurz. Arbia et al. (Empir. Econ. 34(1):81–103, 2008 ) zeigen, dass das Verfahren der bivariaten K-Funktionen zur Analyse von räumlichen Punktprozessen in ökonomischen Zusammenhängen geeignet ist. Innerhalb dieses Artikels nutzen wir das Instrument der bivariaten K-Funktionen zur Aufdeckung gegenseitiger Abhängigkeiten bei der Standortwahl von Firmen des verarbeitenden Gewerbes in Deutschland. Die Ergebnisse der bivariaten K-Funktionen dienen als Basis für Cluster-Analysen, mit deren Hilfe verschiedene Cluster für miteinander verbundene Sektoren für variierende räumliche Distanzen ermittelt werden. Copyright Springer-Verlag 2012

Suggested Citation

  • Hans-Friedrich Eckey & Reinhold Kosfeld & Alexander Werner, 2012. "Bivariate K functions as instruments to analyze inter-industrial concentration processes," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 32(2), pages 133-157, September.
    • Handle: RePEc:spr:jahrfr:v:32:y:2012:i:2:p:133-157
    DOI: 10.1007/s10037-012-0067-0
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    References listed on IDEAS

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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Frank Neffke & Martin Henning & Ron Boschma, 2011. "How Do Regions Diversify over Time? Industry Relatedness and the Development of New Growth Paths in Regions," Economic Geography, Taylor & Francis Journals, vol. 87(3), pages 237-265, July.
    3. Martin Wrobel, 2009. "Das Konzept regionaler Cluster: zwischen Schein und Sein?," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 29(1), pages 85-103, February.
    4. Michael Fritsch & Andreas Stephan & Axel Werwatz, 2004. "Regionalisierte Innovationspolitik sinnvoll," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 71(27), pages 383-386.
    5. Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 1077-1106.
    6. Giuseppe Arbia & Giuseppe Espa & Danny Quah, 2009. "A class of spatial econometric methods in the empirical analysis of clusters of firms in the space," Studies in Empirical Economics, in: Giuseppe Arbia & Badi H. Baltagi (ed.), Spatial Econometrics, pages 81-103, Springer.
    7. 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.
    8. Arbia, Giuseppe & Espa, Giuseppe & Giuliani, Diego & Mazzitelli, Andrea, 2010. "Detecting the existence of space-time clustering of firms," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 311-323, September.
    9. Eric Marcon & Florence Puech, 2003. "Evaluating the Geographic Concentration of Industries Using Distance-Based Methods," Post-Print halshs-00372646, HAL.
    10. Reinhold Kosfeld & Hans-Friedrich Eckey & Jørgen Lauridsen, 2011. "Spatial point pattern analysis and industry concentration," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(2), pages 311-328, October.
    11. Arbia, G. & Espa, G. & Giuliani, D. & Mazzitelli, A., 2012. "Clusters of firms in an inhomogeneous space: The high-tech industries in Milan," Economic Modelling, Elsevier, vol. 29(1), pages 3-11.
    12. 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.
    13. Eric Marcon & Florence Puech, 2003. "Evaluating the Geographic Concentration of Industries Using Distance-Based Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00372646, HAL.
    14. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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    More about this item

    Keywords

    Co-agglomeration; Repulsion; Spatial point pattern analysis; Bivariate K function; C46; L60; L70; R12;
    All these keywords.

    JEL classification:

    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • L70 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - General
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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