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

Author

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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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    References listed on IDEAS

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    1. Thomas Le Barbanchon & Roland Rathelot & Alexandra Roulet, 2021. "Gender Differences in Job Search: Trading off Commute against Wage," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(1), pages 381-426.
    2. Arnold Tukker & Hector Pollitt & Maurits Henkemans, 2020. "Consumption-based carbon accounting: sense and sensibility," Climate Policy, Taylor & Francis Journals, vol. 20(S1), pages 1-13, April.
    3. Pottier, Antonin, 2022. "Expenditure elasticity and income elasticity of GHG emissions: A survey of literature on household carbon footprint," Ecological Economics, Elsevier, vol. 192(C).
    4. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    5. Kristian S. Nielsen & Kimberly A. Nicholas & Felix Creutzig & Thomas Dietz & Paul C. Stern, 2021. "The role of high-socioeconomic-status people in locking in or rapidly reducing energy-driven greenhouse gas emissions," Nature Energy, Nature, vol. 6(11), pages 1011-1016, November.
    6. Jonas Nässén & David Andersson & Jörgen Larsson & John Holmberg, 2015. "Explaining the Variation in Greenhouse Gas Emissions Between Households: Socioeconomic, Motivational, and Physical Factors," Journal of Industrial Ecology, Yale University, vol. 19(3), pages 480-489, June.
    7. Cowell, Frank, 2011. "Measuring Inequality," OUP Catalogue, Oxford University Press, edition 3, number 9780199594047, Decembrie.
    8. Sager, Lutz, 2019. "Income inequality and carbon consumption: Evidence from Environmental Engel curves," Energy Economics, Elsevier, vol. 84(S1).
    9. Marques, Alexandra & Rodrigues, João & Domingos, Tiago, 2013. "International trade and the geographical separation between income and enabled carbon emissions," Ecological Economics, Elsevier, vol. 89(C), pages 162-169.
    10. Kjartan Steen-Olsen & Richard Wood & Edgar G. Hertwich, 2016. "The Carbon Footprint of Norwegian Household Consumption 1999–2012," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 582-592, June.
    11. Weber, Christopher L. & Matthews, H. Scott, 2008. "Quantifying the global and distributional aspects of American household carbon footprint," Ecological Economics, Elsevier, vol. 66(2-3), pages 379-391, June.
    12. Marques, Alexandra & Rodrigues, João & Lenzen, Manfred & Domingos, Tiago, 2012. "Income-based environmental responsibility," Ecological Economics, Elsevier, vol. 84(C), pages 57-65.
    13. Sanchez-Choliz, Julio & Duarte, Rosa & Mainar, Alfredo, 2007. "Environmental impact of household activity in Spain," Ecological Economics, Elsevier, vol. 62(2), pages 308-318, April.
    14. Kakwani, Nanak C, 1977. "Applications of Lorenz Curves in Economic Analysis," Econometrica, Econometric Society, vol. 45(3), pages 719-727, April.
    15. Zhang, Zengkai & Zhang, ZhongXiang & Zhu, Kunfu, 2020. "Allocating carbon responsibility: The role of spatial production fragmentation," Energy Economics, Elsevier, vol. 87(C).
    16. Michael F. Maniates, 2001. "Individualization: Plant a Tree, Buy a Bike, Save the World?," Global Environmental Politics, MIT Press, vol. 1(3), pages 31-52, August.
    17. Lenzen, Manfred & Murray, Joy, 2010. "Conceptualising environmental responsibility," Ecological Economics, Elsevier, vol. 70(2), pages 261-270, December.
    18. Diana Ivanova & Konstantin Stadler & Kjartan Steen-Olsen & Richard Wood & Gibran Vita & Arnold Tukker & Edgar G. Hertwich, 2016. "Environmental Impact Assessment of Household Consumption," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 526-536, June.
    19. Bastianoni, Simone & Pulselli, Federico Maria & Tiezzi, Enzo, 2004. "The problem of assigning responsibility for greenhouse gas emissions," Ecological Economics, Elsevier, vol. 49(3), pages 253-257, July.
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    4. 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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