Quantifying the excess carbon footprint and its main determinants of Spanish households

Ramón Mahía and Rafael de Arce

Energy & Environment, 2024, vol. 35, issue 4, 1907-1935

Abstract: New evidence is provided on the determinants of the carbon footprint (CF) at the household level, using the Spanish case as an example and data from the Household Budget Survey (HBS) and the E-MRIO database. The research presents two new contributions. On the one hand, the basis of analysis on what we call ‘Excess per capita CF’, that is, the part of CF that exceeds a threshold associated with a minimum per capita consumption of each product in a household, below which level it is difficult to expect reductions in consumption. Second, the use of a quantile regression (QR) approach for the estimation of the drivers of CF. Both issues imply important changes in the consideration of the influence of some drivers considered so far in the literature, related to which CF quantile the household is in. These differences between an ordinary least squares (OLS) and the QR are especially significant for variables such as income, household size, occupation, age, household composition, housing area and area of residence.

Keywords: Household consumption; carbon footprint; quantile regression; unbiased elasticity estimates; GHG emissions (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:sae:engenv:v:35:y:2024:i:4:p:1907-1935

DOI: 10.1177/0958305X221140582

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