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Fish and Fisheries
Article
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Munin - Open Research Archive
Article . 2018 . Peer-reviewed
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Fish and Fisheries
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
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Reconstructing governability: How fisheries are made governable

Authors: Andrew M Song; Jahn P Johnsen; Tiffany H Morrison;

Reconstructing governability: How fisheries are made governable

Abstract

Abstract Governability is an important concept in the political and environmental social sciences with increasing application to socio‐ecological systems such as fisheries. Indeed, governability analyses of fisheries and related systems such as marine‐protected areas have generated innovative ways to implement sustainability ideals. Yet, despite progress made, we argue that there remain limitations in current conceptions of governability that hinder further analytical development and use. By drawing on general systems theory—specifically cybernetics, control and feedback—we interrogate the conceptual foundations that underpin two key limitations: the need to incorporate the numerous variables that comprise a complex, holistic system into a singular assessment of governability, and the a priori separation of the governor and the governed that precludes analysis of a self‐governing situation. We argue that by highlighting the reciprocal nature of a governor–governed relationship and the co‐produced understanding of governing capacity and objects, a relational approach to governability is possible. This offers a clearer and more pragmatic understanding of how governors and fishers can make fisheries governable.

Countries
Norway, Australia
Keywords

570, VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920, governance, relationality, cybernetics, capacity, socio‐ecological system, holism, VDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    37
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 10%
Green
bronze