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Recruitment Difficulties Anticipated by Companies: What Are the Explanatory Factors in France?
[Difficultés de recrutement anticipées par les entreprises :quels facteurs explicatifs en France ?]

Author

Listed:
  • Thomas Bézy

    (École d’Économie de Paris, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - ENPC - École nationale des ponts et chaussées - IP Paris - Institut Polytechnique de Paris)

  • Catherine Bruneau

    (UP1 - Université Paris 1 Panthéon-Sorbonne, CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Cédric Crofils

    (Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres, LEDa - Laboratoire d'Economie de Dauphine - IRD - Institut de Recherche pour le Développement - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique, AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Étienne Lavenant

    (Centre de recherche de la Banque de France - Banque de France)

  • Dimitris Mavridis

    (OCDE / OECD - Organisation de Coopération et de Développement Economiques = Organisation for Economic Co-operation and Development, OCDE / OECD - Organisation de Coopération et de Développement Economiques = Organisation for Economic Co-operation and Development)

Abstract

This article examines the difficulties anticipated by companies in France when it comes to recruiting staff. We match data from the 2018 and 2019 Besoins en Main‑d'Œuvre surveys on workforce needs with company data from the FARE annual structural statistics of companies from the ESANE scheme and the DADS ( Déclaration annuelle de données sociales – Annual Declaration of Social Data) to examine how recruitment difficulties are distributed by sector, location and size of the establishment and employment area characteristics. Together, these factors explain around 6% of the total variation in recruitment challenges, increasing to 14% when incorporating recruitment difficulties reported in the previous year. Most of the recruitment difficulties anticipated thus result from factors not observed in the data used in this article, potentially linked to the internal characteristics of each establishment, such as the qua- lity of management and specific recruitment processes.

Suggested Citation

  • Thomas Bézy & Catherine Bruneau & Cédric Crofils & Étienne Lavenant & Dimitris Mavridis, 2024. "Recruitment Difficulties Anticipated by Companies: What Are the Explanatory Factors in France? [Difficultés de recrutement anticipées par les entreprises :quels facteurs explicatifs en France ?]," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-05185909, HAL.
    • Handle: RePEc:hal:cesptp:hal-05185909
    DOI: 10.24187/ecostat.2024.544.2124
    Note: View the original document on HAL open archive server: https://insee.hal.science/hal-05185909v1
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    References listed on IDEAS

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