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

Mathis Bachelot and Mathilde Guergoat-Larivière ()
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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

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Abstract: Our article analyses the quality of green jobs in France, applying a definition of green jobs that has emerged in recent years to the French labour force survey – a large, representative dataset. Using regression and classification techniques, we find that green jobs are associated with lower job quality than non-green jobs, particularly for low-skilled workers, who tend to experience lower wages and reduced socio-economic security. In contrast, high-skilled workers tend to enjoy either better or not significantly different job quality relative to their non-green counterparts. Our analysis also highlights the heterogeneity of green jobs, which can be grouped into four distinct clusters with varying levels of job quality, challenging the narrative of uniformly "good green jobs".

Keywords: green jobs; job quality; wages; skills; occupational inequalities; France (search for similar items in EconPapers)
Date: 2026
Note: View the original document on HAL open archive server: https://hal.univ-lille.fr/hal-05279355v1
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Published in International Labour Review, In press, 165 (1)

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05279355

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