Unravelling the Influence of Household Characteristics and Decisions on their Carbon Footprint: A Quantile Regression Analysis

L’influence des caractéristiques et des décisions des ménages sur leur empreinte carbone: une analyse par régression quantile

Raphaël Semet
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Raphaël Semet: UEVE - Université d'Évry-Val-d'Essonne

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Abstract: This study uses data from the 2017 French Household Budget Survey ( enquête Budget de famille) and an input‑output model to examine the carbon footprint distribution of French households. Using multivariate nested models and quantile regression techniques, it explores disparities in households carbon footprints stemming from socioeconomic characteristics (e.g., size, age, education), income, or household decisions (e.g., home energy source, dwelling type, car ownership). The findings show that the three dimensions are crucial for understanding carbon footprint differences. Other characteristics being equal, education, age and household size, influence carbon emissions. Household decisions also have great explanatory power, especially at the bottom of the distribution, while the type of urban unit (urban/peri‑urban/rural) has no significant influence on carbon emissions

Keywords: mitigation; quantile regression; carbon footprint; empreinte carbone; régression quantile; ménages (search for similar items in EconPapers)
Date: 2024
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Published in Economie et Statistique / Economics and Statistics, 2024, 545, pp.27 - 46. ⟨10.24187/ecostat.2024.545.2127⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05163695

DOI: 10.24187/ecostat.2024.545.2127

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