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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 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'.

Keywords: France; occupational inequalities; skills; wages; job quality; green jobs (search for similar items in EconPapers)
Date: 2026-01-28
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Note: View the original document on HAL open archive server: https://lilloa.hal.science/hal-05279355v3
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Published in International Labour Review, In press, International Labour Review, 165 (1), pp.1-20. ⟨10.16995/ilr.23802⟩

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

DOI: 10.16995/ilr.23802

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