Genovese, A., Lowe, B.H. orcid.org/0000-0002-5081-952X, Bimpizas-Pinis, M. et al. (1 more author) (2024) Planning for a future free from rebound effects. Futures, 164. 103479. ISSN 0016-3287
Abstract
This paper argues that attempts to mitigate rebound effects within growth-orientated economic systems are self-defeating. This arises because rebound effects contribute to economic expansion and individual 'welfare' improvements (i.e., they are welcome and even desirable) and they flourish in traditional market systems where resource allocation is conducted in an ex-post fashion. As such, in the context of the transition towards more sustainable societies, we suggest that ex-ante economic planning and coordination mechanisms are needed to help eliminate rebound effects. Specifically, we argue that mechanisms adopted in contemporary supply chains demonstrate the technical feasibility of economic planning. Such techniques, framed within a democratic economic planning architecture, could therefore encourage moves towards a future that allows us to live within biophysical limits. An interdisciplinary research agenda is proposed to this end.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Circular economy; Democratic economic planning; Environmental policy; Post-growth; 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: | 08 Oct 2024 16:03 |
Last Modified: | 08 Oct 2024 18:14 |
Published Version: | http://dx.doi.org/10.1016/j.futures.2024.103479 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.futures.2024.103479 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:218000 |