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“However, existing integrated assessment models (IAMs) necessary for such multi-dimensional assessment are generally poorly equipped to analyze ME options due to pervasive structural and data limitations [213].”
From Material efficiency strategies to reducing greenhouse gas emissions associated with buildings, vehicles, and electronics—a review (2019) · cites this paper as [213]
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Metadata
- Authors
- Pauliuk, S., Arvesen, A., Stadler, K., & Hertwich, E. G.
- Affiliations
- University of Freiburg (DE)
- Norwegian University of Science and Technology (NO)
- Yale University (US)
- Corresponding author
- Pauliuk, Stefan
- Venue
- Nature Climate Change
- Published
- 2017-01
- Volume
- 7
- Issue
- 1
- Pages
- 13-20
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2570226756
- Cited by
- 288
- References
- 91
- Citations by year
- 2026: 37 · 2025: 29 · 2024: 41 · 2023: 34 · 2022: 24 · 2021: 33 · 2020: 30 · 2019: 17 · 2018: 28 · 2017: 14
- FWCI
- 43.81
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Nature Climate Change (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
- Funders
- Norges Forskningsråd
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Sustainable Industrial Ecology
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Keywords
- industrial ecology, integrated assessment models, material cycling, recycling, life cycle impacts, climate change mitigation, technology mix, GCAM, images, message, REMIND, climate change mitigation scenarios
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