How do actions to decarbonise the energy and mobility sectors affect consumption-based carbon footprints? A case of historic and predicted actions in a suburb in Finland Article Swipe
Vilma Halonen
,
Elisa Kareinen
,
Ville Uusitalo
,
Anna Claudelin
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1088/2515-7620/acaaf7
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1088/2515-7620/acaaf7
Household consumption accounts for 72% of the global greenhouse gas (GHG) emissions. To obtain consumption-based emissions in accordance with the 1.5-degree target, the carbon footprint of individuals should be reduced to 2.5 t CO 2 e a −1 by 2030, which means at least a 70% reduction in high-emitting countries. The decrease in consumption-based GHG emissions can be achieved through both technological and behavioural changes. Currently, climate measures are largely dependent on technological efficiency, although behavioural changes are also needed. In this paper, we study how technological actions to decarbonise the energy and mobility sectors affect consumption-based carbon footprints in the years 2010–2030 in a suburb in Finland. Based on the results, emissions from the mobility sector decreased by 50%, and those from the energy sector decreased by 68% in 2010–2030, when only technology development and society-level actions are considered. These emission reductions affected the carbon footprint of an average Finnish suburb by decreasing it by 37%. This study demonstrates that technological actions to decarbonise the energy and mobility sectors do not guarantee adequate emission reduction by 2030 to achieve the 1.5-degree target; therefore, a change in lifestyle and consumption habits is also needed. Further research should take behavioural changes into account when assessing the development of a consumption-based carbon footprint.
Related Topics
Concepts
Carbon footprint
Greenhouse gas
Consumption (sociology)
Energy consumption
Natural resource economics
Efficient energy use
Climate change
Affect (linguistics)
Environmental economics
Technological change
Environmental science
Agricultural economics
Business
Economics
Engineering
Ecology
Linguistics
Macroeconomics
Social science
Philosophy
Biology
Sociology
Electrical engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/2515-7620/acaaf7
- https://iopscience.iop.org/article/10.1088/2515-7620/acaaf7/pdf
- OA Status
- gold
- Cited By
- 5
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4311315608
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4311315608Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/2515-7620/acaaf7Digital Object Identifier
- Title
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How do actions to decarbonise the energy and mobility sectors affect consumption-based carbon footprints? A case of historic and predicted actions in a suburb in FinlandWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-12-13Full publication date if available
- Authors
-
Vilma Halonen, Elisa Kareinen, Ville Uusitalo, Anna ClaudelinList of authors in order
- Landing page
-
https://doi.org/10.1088/2515-7620/acaaf7Publisher landing page
- PDF URL
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https://iopscience.iop.org/article/10.1088/2515-7620/acaaf7/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/2515-7620/acaaf7/pdfDirect OA link when available
- Concepts
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Carbon footprint, Greenhouse gas, Consumption (sociology), Energy consumption, Natural resource economics, Efficient energy use, Climate change, Affect (linguistics), Environmental economics, Technological change, Environmental science, Agricultural economics, Business, Economics, Engineering, Ecology, Linguistics, Macroeconomics, Social science, Philosophy, Biology, Sociology, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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45Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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