Improving governance outcomes for water quality: insights from participatory social network analysis for chalk stream catchments in England
Improving governance outcomes for water quality: insights from participatory social network analysis for chalk stream catchments in England
Globally important chalk streams in England are in poor ecological health, in part due to inadequate water quality. Addressing this issue requires an understanding of the governance systems that surround water quality. The complexity and uncertainty inherent in hydrological systems has led to the emergence of integrated and adaptive forms of governance. In these multi-actor governance systems, the structure of the relationships between actors (the social network) has been shown to affect governance processes and outcomes.
Using participatory social network analysis, we mapped and analysed the social networks for the River Test and River Itchen in Hampshire, United Kingdom, to identify actors and their roles, determine the network characteristics and identify interventions to improve governance.
Although the results suggest a well-connected network of actors from the state, private sector and civil society, we find that decision-making is not decentralised. Bureaucratic governance by central state actors dominates. However, trust in these central state actors and private actors in the networks is low, which undermines collaboration and co-ordination in the network.
Devolving authority to local actors, building trust in the networks and improving connections to important actors could help to improve governance outcomes for water quality.
Ball, Jennifer
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Hauck, Jennifer
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Holland, Robert
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Lovegrove, Amy, Louise
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Snaddon, Jake
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Taylor, Gail
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Peh, Kelvin S.-H.
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3 August 2022
Ball, Jennifer
628ed61b-d43f-418b-98e2-c2422c35cfdb
Hauck, Jennifer
123657bd-dd0c-4b3b-9b93-b08a9bb1255b
Holland, Robert
9c245e65-06bb-4b0e-8214-2b00ad2a47df
Lovegrove, Amy, Louise
e548abed-79f7-45fb-931e-4a4e17cafa59
Snaddon, Jake
31a601f7-c9b0-45e2-b59b-fda9a0c5a54b
Taylor, Gail
f3851db9-d37c-4c36-8663-e5c2cb03e171
Peh, Kelvin S.-H.
0bd60207-dad8-43fb-a84a-a15e09b024cc
Ball, Jennifer, Hauck, Jennifer, Holland, Robert, Lovegrove, Amy, Louise, Snaddon, Jake, Taylor, Gail and Peh, Kelvin S.-H.
(2022)
Improving governance outcomes for water quality: insights from participatory social network analysis for chalk stream catchments in England.
People and Nature.
(doi:10.1002/pan3.10390).
Abstract
Globally important chalk streams in England are in poor ecological health, in part due to inadequate water quality. Addressing this issue requires an understanding of the governance systems that surround water quality. The complexity and uncertainty inherent in hydrological systems has led to the emergence of integrated and adaptive forms of governance. In these multi-actor governance systems, the structure of the relationships between actors (the social network) has been shown to affect governance processes and outcomes.
Using participatory social network analysis, we mapped and analysed the social networks for the River Test and River Itchen in Hampshire, United Kingdom, to identify actors and their roles, determine the network characteristics and identify interventions to improve governance.
Although the results suggest a well-connected network of actors from the state, private sector and civil society, we find that decision-making is not decentralised. Bureaucratic governance by central state actors dominates. However, trust in these central state actors and private actors in the networks is low, which undermines collaboration and co-ordination in the network.
Devolving authority to local actors, building trust in the networks and improving connections to important actors could help to improve governance outcomes for water quality.
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People and Nature - 2022 - Ball - Improving governance outcomes for water quality Insights from participatory social
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Accepted/In Press date: 1 July 2022
e-pub ahead of print date: 3 August 2022
Published date: 3 August 2022
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Local EPrints ID: 468274
URI: http://eprints.soton.ac.uk/id/eprint/468274
ISSN: 2575-8314
PURE UUID: 5ec9d3df-f3c8-487b-bfca-3eebd58b4cc3
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Date deposited: 09 Aug 2022 16:40
Last modified: 05 Nov 2022 02:59
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Author:
Jennifer Ball
Author:
Jennifer Hauck
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