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

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  • Raphaël Semet

Abstract

[eng] 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.

Suggested Citation

  • Raphaël Semet, 2024. "Unravelling the Influence of Household Characteristics and Decisions on their Carbon Footprint: A Quantile Regression Analysis," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 545, pages 27-46.
    • Handle: RePEc:nse:ecosta:ecostat_2024_545_2
    DOI: https://doi.org/10.24187/ecostat.2024.545.2127
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    References listed on IDEAS

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    4. Dorothée Charlier, 2015. "Energy-efficiency investments in the context of split incentives among French households," Post-Print hal-03062649, HAL.
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