Advancing Major Policy Change Analysis in the Advocacy Coalition Framework

ABSTRACT The Advocacy Coalition Framework (ACF) has been used extensively to study policy processes globally. Existing research, however, fails to sequence the combination of factors that influence policy change. Using theory‐testing process tracing and a within‐case study design focused on Ghana and Nigeria, we address these knowledge gaps by answering the research question: How does the interaction between external and internal shocks, and the sequence of subsystem internal dynamics, lead to major policy change? The data were collected from 40 interviews and over 600 news media articles spanning 30 years. We find that initial triggers comprising the oil discovery in Ghana and regime change in Nigeria influenced dynamic factors, such as coalition formation and policy‐oriented learning, leading to policy change. We propose a tripartite scheme for analyzing policy change: initial triggers (external and internal shocks), sequence of factors (subsystem internal dynamics), and outcome (major policy change). Related Articles Nam, Aerang, & Christopher M. Weible. 2023. “Examining Experts' Discourse in South Korea's Nuclear Power Policy Making: An Advocacy Coalition Framework Approach to Policy Knowledge.” Politics & Policy 51(2): 201–221. 10.1111/polp.12522 . Nwalie, Martin Ike. 2019. “Advocacy Coalition Framework and Policy Changes in a Third‐World Country.” Politics & Policy 47(3): 545–568. 10.1111/polp.12302 . Bandelow, Nils C., Johanna Hornung, & Sofie Klingner. 2025. “A Multidimensional Operationalization of Policy Change.” Politics & Policy 53(5): e70073. 10.1111/polp.70073 .

Authors

Institutions

Publication Details

Journal
Politics &amp Policy
Published
2026-07-26
DOI
https://doi.org/10.1111/polp.70162
Primary Topic
Policy Transfer and Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancing Major Policy Change Analysis in the Advocacy Coalition Framework

Martin Ike Nwalie, Alex Osei‐Kojo, Karin Ingold
Politics &amp Policy
Policy Transfer and Learning
article

Advancing Major Policy Change Analysis in the Advocacy Coalition Framework

Martin Ike Nwalie, Alex Osei‐Kojo, Karin Ingold
article en

Abstract

ABSTRACT The Advocacy Coalition Framework (ACF) has been used extensively to study policy processes globally. Existing research, however, fails to sequence the combination of factors that influence policy change. Using theory‐testing process tracing and a within‐case study design focused on Ghana and Nigeria, we address these knowledge gaps by answering the research question: How does the interaction between external and internal shocks, and the sequence of subsystem internal dynamics, lead to major policy change? The data were collected from 40 interviews and over 600 news media articles spanning 30 years. We find that initial triggers comprising the oil discovery in Ghana and regime change in Nigeria influenced dynamic factors, such as coalition formation and policy‐oriented learning, leading to policy change. We propose a tripartite scheme for analyzing policy change: initial triggers (external and internal shocks), sequence of factors (subsystem internal dynamics), and outcome (major policy change). Related Articles Nam, Aerang, & Christopher M. Weible. 2023. “Examining Experts' Discourse in South Korea's Nuclear Power Policy Making: An Advocacy Coalition Framework Approach to Policy Knowledge.” Politics & Policy 51(2): 201–221. 10.1111/polp.12522 . Nwalie, Martin Ike. 2019. “Advocacy Coalition Framework and Policy Changes in a Third‐World Country.” Politics & Policy 47(3): 545–568. 10.1111/polp.12302 . Bandelow, Nils C., Johanna Hornung, & Sofie Klingner. 2025. “A Multidimensional Operationalization of Policy Change.” Politics & Policy 53(5): e70073. 10.1111/polp.70073 .

Politics &amp PolicyVol. 54(4)
University of Bern (CH), Oeschger Centre for Climate Change Research (CH), Swiss Federal Institute of Aquatic Science and Technology (CH), University of Tennessee at Knoxville (US), Rivers State University (NG)
Openalex Percentile: Top 3%
Policy Transfer and Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Advancing Major Policy Change Analysis in the Advocacy Coalition Framework — Martin Ike Nwalie, Alex Osei‐Kojo, et al. · Politics &amp Policy (2026) | TGRS Research Map | TGRS