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The Advocacy Coalition Index

A new approach for identifying advocacy coalitions

Bibliographic Data

ID7960751
AuthorsK Satoh (0000-0003-3316-301X, Faculty of Social Sciences Hitotsubashi University Tokyo Japan), Antti Gronow (0000-0002-7639-6422, Faculty of Social Sciences University of Helsinki Helsinki Finland, corresponding author), Tuomas Ylä-Anttila (0000-0002-6908-3495, Faculty of Social Sciences University of Helsinki Helsinki Finland)
Year2023
Volume51
Issue1
Pages187-207
Publication date2023-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePolicy Studies Journal (JOURNAL)
Journal identifiersISSN: 0190-292X • E-ISSN: 1541-0072
PublisherWiley (PUBLISHER • GB)
DOI10.1111/psj.12450
OpenAlexW3197914805
LanguageEN
Citations received29
References cited49

Policy scholars have increasingly focused on collaborative and competitive relationships between stakeholder coalitions. The Advocacy Coalition Framework (ACF) in particular has directed scholarly attention toward such relationships. The ACF defines advocacy coalitions as groups of actors who share beliefs and coordinate their action. However, previous research has been inconsistent in defining and measuring coalitions, which has hampered comparative research and theory building. We present a method called the Advocacy Coalition Index, which measures belief similarity and the coordination of action in a manner that makes it possible to assess the extent to which advocacy coalitions are found in policy subsystems, whether subgroups resemble coalitions, and how individual actors contribute to coalition formation. The index provides a standardized method for identifying coalitions that can be applied to comparative research. To illustrate the effectiveness of the index, we analyze two climate change policy subsystems, namely Finland and Sweden, which have been shown to differ in terms of the association of belief similarity with coordination. We demonstrate that the index performs well in identifying the different types of subsystems, coalitions, and actors that contribute the most to coalition formation, as well as those involved in cross‐coalition brokerage

Action (physics · Comparative case · Index (typography · Political science · Public relations · Similarity (geometry · Stakeholder · Computer Science · Policy Transfer and Learning · Political Influence and Corporate Strategies · Public Administration · Sustainability and Climate Change Governance · Artificial Intelligence

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Unique citing works29
Citations per year9,67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 29

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