The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
The politics of co-production: participation, power, and transformation
Open accessAbstract
Literature on co-production is booming. Yet, most literature is aspirational and methodological in nature, focusing on why co-production is important for environmental governance and knowledge production and how it should be done, and does not address the question why these processes often fail to achieve stated objectives of empowerment and societal transformation. In this review, we address this gap by reviewing literature on the political and power dimensions of co-production. Our review shows how depoliticization dynamics in co-production reinforce rather than mitigate existing unequal power relations and how they prevent wider societal transformation from taking place. Drawing on literature about participation, deliberative governance, and democracy, the review concludes by emphasizing the importance of (re)politicizing co-production by allowing for pluralism and for the contestation of knowledge.
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Self-citationMaking transdisciplinarity happen: Phase 0, or before the beginning
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Metadata
- Authors
- Turnhout, E., Metze, T., Wyborn, C., Klenk, N., & Louder, E.
- Venue
- Current Opinion in Environmental Sustainability
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 42
- Pages
- 15-21
- ISSN
- 1877-3435 (ISSN-L)
- OpenAlex
- W2997665799
- Cited by
- 988
- References
- 88
- FWCI
- 20.85
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Turnhout, E., Metze, T., Wyborn, C., Klenk, N., & Louder, E. (2020). The politics of co-production: participation, power, and transformation. Current Opinion in Environmental Sustainability. https://doi.org/10.1016/j.cosust.2019.11.009
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
