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The Political Economy of Cross-Scale Networks in Resource Co-Management
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We investigate linkages between stakeholders in resource management that occur at different spatial and institutional levels and identify the winners and losers in such interactions.So-called crossscale interactions emerge because of the benefits to individual stakeholder groups in undertaking them or the high costs of not undertaking them.Hence there are uneven gains from cross-scale interactions that are themselves an integral part of social-ecological system governance.The political economy framework outlined here suggests that the determinants of the emergence of cross-scale interactions are the exercise of relative power between stakeholders and their costs of accessing and creating linkages.Cross-scale interactions by powerful stakeholders have the potential to undermine trust in resource management arrangements.If government regulators, for example, mobilize information and resources from cross-level interactions to reinforce their authority, this often disempowers other stakeholders such as resource users.Offsetting such impacts, some cross-scale interactions can be empowering for local level user groups in creating social and political capital.These issues are illustrated with observations on resource management in a marine protected area in Tobago in the Caribbean.The case study demonstrates that the structure of the cross-scale interplay, in terms of relative winners and losers, determines its contribution to the resilience of social-ecological systems.
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“Adger et al. (2005) find that when cross-scale linkages are characterized by power asymmetries, more powerful actors seeking to further their interests can dominate the linkages in a way that further skews knowledge and information in their favor.”
From Polycentric Systems of Governance: A Theoretical Model for the Commons (2019) · cites this paper as Adger et al., 2005
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Poteete, A. R. (2012) · International Journal of the Commons · doi:10.18352/ijc.318 · Cited by 62
Hoole, A. (2009) · International Journal of the Commons · doi:10.18352/bmgn-lchr.112 · Cited by 62
The Governance of Rural Land in a Liberalised World
Hodge, I. (2007) · Journal of Agricultural Economics · doi:10.1111/j.1477-9552.2007.00124.x · Cited by 62
Metadata
- Authors
- Adger, W. N., Brown, K., & Tompkins, E. L.
- Affiliations
- Tyndall Centre (GB)
- University of East Anglia (GB)
- Venue
- Ecology and Society
- Publisher
- Resilience Alliance, Inc.
- Published
- 2005
- Volume
- 10
- Issue
- 2
- ISSN
- 1708-3087 (ISSN-L)
- OpenAlex
- W1918744767
- Cited by
- 524
- References
- 45
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 16 · 2023: 12 · 2022: 14 · 2021: 13 · 2020: 27 · 2019: 53 · 2018: 36 · 2017: 30 · 2016: 32 · 2015: 31 · 2014: 40 · 2013: 41 · 2012: 29
- FWCI
- 71.98
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Ecology and Society (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- ePrints Soton (University of Southampton) (submittedVersion)
- Digital Library Of The Commons Repository (Indiana University) (submittedVersion)
- UEA Digital Repository (University of East Anglia) (submittedVersion)
- Funders
- Leverhulme Trust
- National Oceanic and Atmospheric Administration
- Economic and Social Research Council
- Topics
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Coastal and Marine Management
- Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
- Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
- Keywords
- cross-scale interactions, political economy, stakeholder power relations, marine protected areas, resilience, Tobago
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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