|
Persistent Identifier
|
perma:LIST.MZJSTN |
|
Publication Date
|
2026-07-06 |
|
Title
| Endogenous simulation of low-carbon lifestyle change in global climate mitigation pathways [* Cross-Reference *] |
|
Other Identifier
| https://doi.org/10.1088/1748-9326/acf6d6
OpenAlex ID: https://openalex.org/W4386448913 |
|
Author
| Hazel Pettifor (University of Oxford) - ORCID: https://orcid.org/0000-0003-3901-2693
Alessio Mastrucci (International Institute for Applied Systems Analysis, Luxembourg Institute of Science and Technology) - ORCID: https://orcid.org/0000-0002-5611-7780
Charlie Wilson (University of East Anglia, International Institute for Applied Systems Analysis, University of Oxford, Tyndall Centre) - ORCID: https://orcid.org/0000-0001-8164-3566
Bas van Ruijven (International Institute for Applied Systems Analysis) - ORCID: https://orcid.org/0000-0003-1232-5892
Maureen D. Agnew (University of Oxford) - ORCID: https://orcid.org/0000-0002-5740-1679
Thomas Le Gallic (CIRED, Société de Mathématiques Appliquées et de Sciences Humaines) - ORCID: https://orcid.org/0000-0001-6760-5483 |
|
Point of Contact
|
Use email button above to contact.
LIST QDKM (LIST) |
|
Description
| Global Integrated Assessment Models (IAMs) used to characterise mitigation pathways have very limited or no formal representation of lifestyles and lifestyle change. We demonstrate a novel approach to endogenously simulating low-carbon lifestyle heterogeneity and lifestyle change through soft-coupling with our new empirically-based LIFE model. Coupling LIFE to global IAMs enables dynamic simulation of distinctive lifestyle change contributions to targeted mitigation strategies. We set out the empirical basis of the LIFE model, the methodological steps for soft-coupling to a global IAM, and show results from a test application to the residential sector using the MESSAGEix-Buildings model. A first key insight is that coupling with the LIFE model introduces heterogeneous behaviour between ‘engaged’ types, who experience faster and higher reductions in final energy demand compared to ‘disengaged’ types. When we further simulate a widespread shift in normative values, this gap is closed. A second key insight is that drivers of lifestyle change, act differently across ‘Improve’ and ‘Avoid’ dimensions. The ‘disengaged’ types, characterised by lower incomes, are more highly responsive to energy saving ‘Avoid’ behaviours. Our approach demonstrates how improved understanding of lifestyle change dynamics and more realistic, empirically-based quantitative simulations in climate mitigation pathways enriches scientific and policy analysis of how to achieve Paris Climate Agreement goals. (2023-09-05)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.1088/1748-9326/acf6d6 for the original and latest version of the publication*** (2026-07-01) |
|
Subject
| Business and Management; Earth and Environmental Sciences; Physics; Social Sciences |
|
Keyword
| Normative
Climate change
Climate change mitigation
Computer science
Representation (politics)
Environmental economics
Risk analysis (engineering)
Environmental resource management
Environmental science
Economics
Business
Ecology
Political science |
|
Topic Classification
| Energy, Environment, and Transportation Policies
Climate Change Policy and Economics
Environmental Impact and Sustainability |
|
Deposit Date
| 2023-09-05 |
|
Data Type
| Article |
|
Data Source
| Environmental Research Letters |