Empirical research on polycentric governance: Critical gaps and a framework for studying long-term change
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University of ArizonaIssue Date
2023-11-08Keywords
environmental governanceinstitutional analysis
long-term change
policy feedbacks
polycentric governance
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John Wiley and Sons IncCitation
Baldwin, Elizabeth, Andreas Thiel, Michael McGinnis and Elke Kellner. 2023. “ Empirical Research on Polycentric Governance: Critical Gaps and a Framework For Studying Long-term Change.” Policy Studies Journal 00(0): 1–30. https://doi.org/10.1111/psj.12518.Journal
Policy Studies JournalRights
© 2023 The Authors. Policy Studies Journal published by Wiley Periodicals LLC on behalf of Policy Studies Organization. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Polycentric governance (PG) describes governance systems characterized by multiple, interdependent centers of decision-making, offering an alternative to centralized governance models. PG is often assumed to be effective at helping policy actors address complex collective action problems, but burgeoning empirical literature on PG shows that it is not a panacea – PG is associated with both positive and negative governance outcomes. In this article, we ask: what do we know about why PG performs well in some cases but not in others? We start with a systematic review, synthesizing findings that provide empirical support for positive and negative features that are theorized to accompany PG. Our review reveals a critical gap in relation to our understanding of PG: the existing empirical literature largely fails to address change and evolution over time in PG systems, undermining our understanding of why PG works – or does not– across different contexts and over time. To fill this gap, we propose a “Context – Operations – Outcomes – Feedbacks” (COOF) framework that draws explicit attention to the interplay between context, operational arrangements, outcomes and identifies feedback pathways and adjustment mechanisms that drive dynamic change and evolution over time. © 2023 The Authors. Policy Studies Journal published by Wiley Periodicals LLC on behalf of Policy Studies Organization.Note
Open access articleISSN
0190-292XVersion
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1111/psj.12518
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Except where otherwise noted, this item's license is described as © 2023 The Authors. Policy Studies Journal published by Wiley Periodicals LLC on behalf of Policy Studies Organization. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License.