Daugbjerg, Carsten and Fawcett, Paul (2017) Metagovernance, Network Structure, and Legitimacy: Developing a Heuristic for Comparative Governance Analysis. Administration & Society, 49, pp. 1223-1245.
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Document available online at: https://journals.sagepub.com/doi/full/10.1177/0095399715581031
Summary
The burgeoning debate on metagovernance examines attempts by the state and others to regulate self-regulating networks. In seeking to better understand the conditions affecting an actor’s capacity to metagovern, we introduce a distinction between relations within networks on the state-society axis, the key concern of the network governance school, and those on the interest integration axis, the key concern of the policy network school. This produces a heuristic consisting of four network types that vary in the type of metagovernance outcomes, defined here in terms of the level of input and output legitimacy. We suggest how different network types exhibit different metagovernance outcomes and what a network that produces a ‘successful’ metagovernance outcome might look like. The final section of the paper uses a comparative study of organic farming in four countries, and land use policy in one country, to demonstrate the usefulness and analytic potential of the heuristic developed.
EPrint Type: | Journal paper |
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Subjects: | Food systems > Policy environments and social economy |
Research affiliation: | Denmark > DARCOF III (2005-2010) > COP - Public policies and demand for organic food |
DOI: | 10.1177/0095399715581031 |
Deposited By: | Ursu, Ancuta |
ID Code: | 43891 |
Deposited On: | 24 Mar 2022 12:43 |
Last Modified: | 24 Mar 2022 12:43 |
Document Language: | English |
Status: | Published |
Refereed: | Peer-reviewed and accepted |
Available Versions of this Item
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State-Society Relations, Interest Integration and Metagovernance Outcomes: Developing a Heuristic for Comparative Governance Analysis. (deposited 26 Mar 2012 14:07)
- Metagovernance, Network Structure, and Legitimacy: Developing a Heuristic for Comparative Governance Analysis. (deposited 24 Mar 2022 12:43) [Currently Displayed]
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