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Scalable shift‐share analysis: Novel framework and application to France

Author

Listed:
  • Jean-François Ruault

    (UR LESSEM - Laboratoire des EcoSystèmes et des Sociétés en Montagne - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Fédération OSUG - Observatoire des Sciences de l'Univers de Grenoble - UGA - Université Grenoble Alpes, LVMT - Laboratoire Ville, Mobilité, Transport - ENPC - École des Ponts ParisTech - Université Gustave Eiffel)

  • Yves Schaeffer

    (UR LESSEM - Laboratoire des EcoSystèmes et des Sociétés en Montagne - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Fédération OSUG - Observatoire des Sciences de l'Univers de Grenoble - UGA - Université Grenoble Alpes)

Abstract

The shift‐share analysis (SSA) of regional employment growth disparities aims at disentangling the effects of regional differences in industry mix and industrial competitiveness. Yet, the spatial concentration of industry is a blindspot of this approach. We generalize the SSA to encompass this salient feature of the economic geography. Besides, industry emergence and catastrophic growth events—booming or collapsing industries—are integrated in our framework. This novel method is applied to study regional disparities in manufacturing employment growth in France in a dynamic way over a 22‐year period at a fine geographical level.

Suggested Citation

  • Jean-François Ruault & Yves Schaeffer, 2020. "Scalable shift‐share analysis: Novel framework and application to France," Post-Print hal-02929570, HAL.
    • Handle: RePEc:hal:journl:hal-02929570
    DOI: 10.1111/pirs.12558
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-02929570v1
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    Cited by:

    1. Jian Luo & Yongchun Yang, 2023. "Rediscovering the Shift-Share EM2 Model: A Decomposition Framework of Unbalanced Employment Growth at the Industrial Level," Sustainability, MDPI, vol. 15(6), pages 1-16, March.

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