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The determinants of local employment dynamics in Western Germany

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  • Michaela Fuchs

Abstract

"This paper studies the impact of the local industrial structure on employment dynamics in Western Germany. Following an approach of Combes/Magnac/Robin (2004) for France, local employment growth is decomposed into internal growth resulting from employment changes in existing plants and into external growth determined by employment decisions of newly established plants. The dynamics of both components are estimated simultaneously, taking explicitly into account the timing of the impact of specialization, diversity, and competition in a region. The analysis is conducted for 24 sectors in the West German labor market regions from 1993 to 2002. Estimation results emphasize the positive influence of diversity on both internal and external employment growth, whereas there is no clear result on specialization. A high degree of competition fosters external employment, but is detrimental to internal employment. Dynamic panel regressions show that static externalities dominate. Importantly, the impact of the local industrial structure on employment dynamics does not differ between small and larger plants, nor are there fundamental differences between Western Germany and France." (Author's abstract, IAB-Doku) ((en))
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Suggested Citation

  • Michaela Fuchs, 2011. "The determinants of local employment dynamics in Western Germany," Empirical Economics, Springer, vol. 40(1), pages 177-203, February.
    • Handle: RePEc:spr:empeco:v:40:y:2011:i:1:p:177-203
    DOI: 10.1007/s00181-010-0420-5
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    File URL: http://hdl.handle.net/10.1007/s00181-010-0420-5
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    Cited by:

    1. Combes, Pierre-Philippe & Gobillon, Laurent, 2015. "The Empirics of Agglomeration Economies," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 247-348, Elsevier.
    2. Robert Lehmann, 2016. "Wirtschaftswachstum und Konjunkturprognosen auf regionaler Ebene," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65, April.
    3. Mikhail Y. Afanasyev & Alexander V. Kudrov, 2021. "Economic Complexity, Embedding Degree and Adjacent Diversity of the Regional Economies," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 17(2), pages 7-22.
    4. Raimund Krumm & Harald Strotmann, 2013. "The impact of regional location factors on job creation, job destruction and employment growth in manufacturing," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 33(1), pages 23-48, February.
    5. Jens Horbach & Markus Janser, 2016. "The role of innovation and agglomeration for employment growth in the environmental sector," Industry and Innovation, Taylor & Francis Journals, vol. 23(6), pages 488-511, August.
    6. Michaela Fuchs & Udo Brixy, 2011. "How important are plant and regional characteristics for employment dynamics? Plant-level evidence for Germany," ERSA conference papers ersa10p243, European Regional Science Association.
    7. Jan Kluge & Robert Lehmann, 2013. "Marshall or Jacobs? New insights from an interaction model," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 33(2), pages 107-133, October.
    8. Dauth, Wolfgang, 2010. "The mysteries of the trade: employment effects of urban interindustry spillovers," IAB Discussion Paper 201015, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    9. Uwe Blien & Stefan Fuchs & Georg Hirte, 2013. "New advances in the analysis of regional labour markets," Papers in Regional Science, Wiley Blackwell, vol. 92(2), pages 243-248, June.
    10. Michaela Fuchs, 2011. "How important are agglomeration effects for plant performance? Empirical evidence for Germany," ERSA conference papers ersa11p912, European Regional Science Association.

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    More about this item

    Keywords

    Regional labor markets; Specialization and diversification effects; Competition; Panel data models; International comparisons; C33; O18; R11;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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