Lowe, B.H. orcid.org/0000-0002-5081-952X, Bimpizas-Pinis, M. orcid.org/0000-0003-2193-4833, Zerbino, P. orcid.org/0000-0003-4587-3684 et al. (1 more author) (2024) Methods to estimate the circular economy rebound effect: a review. Journal of Cleaner Production, 443. 141063. ISSN 0959-6526
Abstract
The transition to a circular economy can be undermined by rebound effects, which could mean secondary production does not fully displace virgin raw materials. So called ‘circular economy rebound’ is under examined in the academic literature and thus requires greater attention if it is to be successfully estimated and mitigated by decision and policy makers. Accordingly, this paper undertakes a systematic review of the methods that have been deployed to measure rebound effects of all types and identifies those quantitative tools that have yet to be utilised in the nascent area of circular economy rebound but which could have application in this context. In so doing, the paper also reflects on the data needs of different methods, as well as the magnitude of the different rebounds identified and potential mitigating strategies. Findings suggest clear research gaps within the rebound literature and identify areas in which estimation of the circular economy rebound specifically could benefit from this wider body of work on rebound assessment.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Eco-efficiency; Environmental policy; Jevons' paradox; Rebound mitigation policy; Resource efficiency; Sustainable consumption |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Feb 2024 16:09 |
Last Modified: | 15 Feb 2024 16:09 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.jclepro.2024.141063 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:209226 |
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