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• W4313435379 startingPage "0958305X2211405" @default.
• W4313435379 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." @default.
• W4313435379 created "2023-01-06" @default.
• W4313435379 creator A5043680215 @default.
• W4313435379 creator A5086559243 @default.
• W4313435379 date "2022-12-20" @default.
• W4313435379 modified "2023-09-27" @default.
• W4313435379 title "Quantifying the excess carbon footprint and its main determinants of Spanish households" @default.
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• W4313435379 doi "https://doi.org/10.1177/0958305x221140582" @default.
• W4313435379 hasPublicationYear "2022" @default.
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