UK households' carbon footprint: a comparison of the association between household characteristics and emissions from home energy, transport and other goods and services
UK households' carbon footprint: a comparison of the association between household characteristics and emissions from home energy, transport and other goods and services
Does the association between household characteristics and household CO2 emissions differ for different areas such as home energy, transport, indirect and total emissions in the UK? Specific types of households might be more likely to have high emissions in some areas than in others and thus be affected differently by climate mitigation policies that target these areas.
Using the Living Costs and Food Survey and Expenditure and Food Survey for the years 2006 to 2009, this paper compares how household characteristics like income, household size, rural/urban location and education level differ in their association with home energy, transport, indirect and total emissions. We find that the association between household characteristics and emissions differs considerably across these areas, particularly for income, education, the presence of children, female headed, workless and rural households. We also test the implicit assumption in the literature that the association between household characteristics and CO2 emission is constant across the CO2 emission distribution using quantile regressions and compare results for poor and rich households. The analysis considers policy implications of these findings throughout.
Southampton Statistical Sciences Research Institute, University of Southampton
Buchs, Milena
c62b4fbd-660c-4642-876e-de9512db9a9c
Schnepf, Sylke V.
c987c810-d33c-4675-9764-b5e15c581dbc
May 2013
Buchs, Milena
c62b4fbd-660c-4642-876e-de9512db9a9c
Schnepf, Sylke V.
c987c810-d33c-4675-9764-b5e15c581dbc
Buchs, Milena and Schnepf, Sylke V.
(2013)
UK households' carbon footprint: a comparison of the association between household characteristics and emissions from home energy, transport and other goods and services
Southampton, GB.
Southampton Statistical Sciences Research Institute, University of Southampton
Record type:
Monograph
(Working Paper)
Abstract
Does the association between household characteristics and household CO2 emissions differ for different areas such as home energy, transport, indirect and total emissions in the UK? Specific types of households might be more likely to have high emissions in some areas than in others and thus be affected differently by climate mitigation policies that target these areas.
Using the Living Costs and Food Survey and Expenditure and Food Survey for the years 2006 to 2009, this paper compares how household characteristics like income, household size, rural/urban location and education level differ in their association with home energy, transport, indirect and total emissions. We find that the association between household characteristics and emissions differs considerably across these areas, particularly for income, education, the presence of children, female headed, workless and rural households. We also test the implicit assumption in the literature that the association between household characteristics and CO2 emission is constant across the CO2 emission distribution using quantile regressions and compare results for poor and rich households. The analysis considers policy implications of these findings throughout.
Text
UKCarbonFootprintS3RI.pdf
- Version of Record
More information
Published date: May 2013
Additional Information:
carbon dioxide emissions, inequality, climate change mitigation policies, living costs and food survey, united kingdom
Organisations:
Social Statistics & Demography, Sociology, Social Policy & Criminology
Identifiers
Local EPrints ID: 353065
URI: http://eprints.soton.ac.uk/id/eprint/353065
PURE UUID: 99861a98-7629-494e-bff9-021986819cee
Catalogue record
Date deposited: 28 May 2013 15:46
Last modified: 14 Mar 2024 13:59
Export record
Contributors
Author:
Milena Buchs
Author:
Sylke V. Schnepf
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics