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Assessing the quality of green jobs: An empirical analysis of French data

Author

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  • Mathis Bachelot

    (CLERSÉ - Centre Lillois d’Études et de Recherches Sociologiques et Économiques - UMR 8019 - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Mathilde Guergoat-Larivière

    (CLERSÉ - Centre Lillois d’Études et de Recherches Sociologiques et Économiques - UMR 8019 - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

Abstract

Our article provides an analysis of green jobs' quality in France, applying on a large representative database a definition of green jobs that emerged in the last years. Using regressions and classification techniques, we show that green jobs display lower job quality than non-green jobs, especially for low-skilled workers who experience lower wages and socio-economic security. High-skilled workers show either better or not significantly different job quality compared to their non-green counterparts. Our analysis also reveals the heterogeneity of green jobs dispatched in four clusters with various job quality levels, challenging the narrative of ‘good green jobs'.

Suggested Citation

  • Mathis Bachelot & Mathilde Guergoat-Larivière, 2026. "Assessing the quality of green jobs: An empirical analysis of French data," Post-Print hal-05279355, HAL.
    • Handle: RePEc:hal:journl:hal-05279355
    DOI: 10.16995/ilr.23802
    Note: View the original document on HAL open archive server: https://lilloa.hal.science/hal-05279355v3
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    References listed on IDEAS

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