Endogenous simulation of low-carbon lifestyle change in global climate mitigation pathways

19473 6 104856 2 319241 document 104856 Pettifor_2024_Environ._Res._Lett._19_014016.pdf application/pdf c84fb6c97a4c290e755170b387ce51b0 MD5 1783402 2024-02-01 07:50:36 https://pure.iiasa.ac.at/id/eprint/19473/1/Pettifor_2024_Environ._Res._Lett._19_014016.pdf 19473 1 1 application/pdf text en public cc_by_4

Pettifor_2024_Environ._Res._Lett._19_014016.pdf

published 104862 1 319258 document 104862 indexcodes.txt text/x-c++ de6dd41f8ced9106d7cdcee26bffdb8e MD5 13358 2024-02-01 08:01:04 https://pure.iiasa.ac.at/id/eprint/19473/2/indexcodes.txt 19473 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/104856 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/104856 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/104856 archive 353 disk0/00/01/94/73 2024-02-01 07:56:00 2024-02-01 07:56:00 2024-02-01 07:56:00 article show Pettifor H. Mastrucci A. 2129 0000-0002-5611-7780 Wilson C. van Ruijven B.. 92197 0000-0003-1232-5892 Agnew M. Gallic T.L. Endogenous simulation of low-carbon lifestyle change in global climate mitigation pathways pub ECE S3 TISS 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. 2023-11 published Institute of Physics Publishing (IOP) doi:10.1088/1748-9326/acf6d6 2872 3102 public Environmental Research Letters 19 1 e014016 TRUE 1748-9326 Next generation of AdVanced InteGrated Assessment modelling to support climaTE policy making (NAVIGATE, H2020 821124) Net Zero Pathway Research Through Integrated Assesment Models Advances (PRISMA, HE 101081604) The impacts of digitalised daily life on climate change (iDODDLE, H2020 101003083) yes info:eu-repo/grantAgreement/EC/H2020/821124/EU//NAVIGATE; info:eu-repo/grantAgreement/EC/HE/101081604/EU//PRISMA; info:eu-repo/grantAgreement/EC/H2020/101003083/EU//iDODDLE info:eu-repo/semantics/article info:eu-repo/semantics/openAccess