@article{35048,
  keywords = {Climate change, Climate change mitigation},
  author = {Felix Creutzig and Leila Niamir and Xuemei Bai and Max Callaghan and Jonathan M Cullen and Julio Díaz-José and Maria Figueroa and Arnulf Grubler and William F Lamb and Adrian Leip and Eric R Masanet and Érika Mata and Linus Mattauch and Jan C Minx and Sebastian Mirasgedis and Yacob Mulugetta and Sudarmanto Budi Nugroho and Minal Pathak and Patricia Perkins and Joyashree Roy and Stephane de la Rue du Can and Yamina Saheb and Shreya Some and Linda Steg and Julia Steinberger and Diana Urge-Vorsatz},
  title = {Demand-side solutions to climate change mitigation consistent with high levels of well-being},
  abstract = {<p>Mitigation solutions are often evaluated in terms of costs and greenhouse gas reduction potentials, missing out on the consideration of direct effects on human well-being. Here, we systematically assess the mitigation potential of demand-side options categorized into avoid, shift and improve, and their human well-being links. We show that these options, bridging socio-behavioural, infrastructural and technological domains, can reduce counterfactual sectoral emissions by 40–80% in end-use sectors. Based on expert judgement and an extensive literature database, we evaluate 306 combinations of well-being outcomes and demand-side options, finding largely beneficial effects in improvement in well-being (79% positive, 18% neutral and 3% negative), even though we find low confidence on the social dimensions of well-being. Implementing such nuanced solutions is based axiomatically on an understanding of malleable rather than fixed preferences, and procedurally on changing infrastructures and choice architectures. Results demonstrate the high mitigation potential of demand-side mitigation options that are synergistic with well-being.</p>},
  year = {2021},
  journal = {Nature Climate Change},
  month = {11/2021},
  url = {https://www.nature.com/articles/s41558-021-01219-y#citeas},
  doi = {https://doi.org/10.1038/s41558-021-01219-y},
  language = {eng},
}