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Quantifying GHG emissions enabled by capital and labor: Economic and gender inequalities in France

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  • Antonin Pottier

    (CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École nationale des ponts et chaussées - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique, CMB - Centre Marc Bloch - MEAE - Ministère de l'Europe et des Affaires étrangères - Bundesministerium für Bildung und Forschung - M.E.N.E.S.R. - Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche - CNRS - Centre National de la Recherche Scientifique)

  • Gaëlle Le Treut

    (CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École nationale des ponts et chaussées - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique)

Abstract

Many studies have investigated the carbon footprint of households. They rely on consumption‐based responsibility and focus on how many emissions are embodied in a product. Here we open a new field by discussing the emissions that individuals enable by providing labor and capital to companies, using the framework of income‐based (downstream) responsibility. This perspective focuses on the emissions enabled by providing inputs to production processes, and is relevant for discussion of sustainable work and the carbon impact of investment and financial portfolios. We compute the downstream carbon intensity of primary inputs for 35 industries in France using the multi‐regional input–output database EXIOBASE. We provide a detailed picture of enabled emissions, disaggregating those by industry and primary inputs. On average, capital inputs are more carbon intensive than labor inputs. Finally, we couple downstream carbon intensities with an extensive national survey on wages to obtain a distribution of the income‐based emissions of employees. Income‐based emissions are much more unequally distributed than wages due to the huge variability of carbon intensity across industries: a truck driver enables far more emissions than a social‐care worker. Inequalities in emissions do not strongly interact with economic inequality. Yet they are gendered because women work disproportionately in low‐carbon‐intensive industries such as healthcare. As a result, women contribute less to GHG emissions than their wage share would seem to indicate.

Suggested Citation

  • Antonin Pottier & Gaëlle Le Treut, 2023. "Quantifying GHG emissions enabled by capital and labor: Economic and gender inequalities in France," Post-Print hal-04455889, HAL.
  • Handle: RePEc:hal:journl:hal-04455889
    DOI: 10.1111/jiec.13383
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    Cited by:

    1. André, Mathias & Bourgeois, Alexandre & Combet, Emmanuel & Lequien, Matthieu & Pottier, Antonin, 2024. "Challenges in measuring the distribution of carbon footprints: The role of product and price heterogeneity," Ecological Economics, Elsevier, vol. 220(C).
    2. Wen Wen & Yijing He & Yang Zhang & Weize Song & Yujuan Fang, 2025. "Unraveling the Surrounding Drivers of Interprovincial Trade Embodied Energy Flow Based on the MRIO Model: A Case Study in China," Energies, MDPI, vol. 18(19), pages 1-30, October.
    3. Cheng, Xuelei & Wu, Xudong & Guan, Chenghe & Sun, Xudong & Zhang, Bo, 2023. "Impacts of production structure changes on global CH4 emissions: Evidences from income-based accounting and decomposition analysis," Ecological Economics, Elsevier, vol. 213(C).
    4. Sergio Soza-Amigo & Jean Pierre Doussoulin, 2024. "Regional Economic Development, Climate Change, and Work Force in a Gender Perspective in Chile: Insights from the Input–Output Matrix," Sustainability, MDPI, vol. 16(19), pages 1-22, October.
    5. Jared Starr & Craig Nicolson & Michael Ash & Ezra M Markowitz & Daniel Moran, 2023. "Income-based U.S. household carbon footprints (1990–2019) offer new insights on emissions inequality and climate finance," PLOS Climate, Public Library of Science, vol. 2(8), pages 1-24, August.

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