Abstract
Anthropogenic climate change is a global problem that affects every country and each individual. It is largely caused by human beings emitting greenhouse gases into the atmosphere. In general, a small percentage of the population is responsible for a large amount of emissions. This paper focuses on high emitters and their CO2 emissions from energy use in UK homes. It applies a cluster approach, aiming to identify whether the high emitters comprise clusters where households in each cluster share similar characteristics but are different from the others. The data are mainly based on the Living Cost and Food survey in the UK. The results show that after equivalising both household emissions and income, the high emitters can be clustered into six groups which share similar characteristics within each group, but are different from the others in terms of income, age, household composition, category and size of the dwelling, and tenure type. The clustering results indicate that various combinations of socioeconomic factors, such as low-income single female living in an at least six-room property, or high-income retired couple owning a large detached house, could all lead to high CO2 emissions from energy use at home. Policymakers should target each high-emitter cluster differently to reduce CO2 emissions from energy consumption at home more effectively.
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Abbreviations
- ECO:
-
Energy company obligation
- FIT:
-
Feed-in Tariffs
- GORs:
-
Government office regions
- GHG:
-
Greenhouse gas
- HRP:
-
Household reference person
- LCF:
-
Living cost and food
- LESA:
-
Landlord’s energy saving allowance
- LIHC:
-
Low income high cost
- OECD:
-
Organisation for Economic Co-operation and Development
- ONS:
-
Office for National Statistics
- UNFCCC:
-
United Nations Framework Convention on Climate Change
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Acknowledgements
This work was funded by the School of Mechanical, Aerospace and Civil Engineering and the Sustainable Consumption Institute at the University of Manchester.
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Wang, X., Meng, M. Understanding high-emitting households in the UK through a cluster analysis. Front. Energy 13, 612–625 (2019). https://doi.org/10.1007/s11708-019-0647-6
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DOI: https://doi.org/10.1007/s11708-019-0647-6