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Theorizing policy diffusion: from a patchy set of mechanisms to a paradigmatic typology

Authors: Joachim Blatter; Lea Portmann; Frowin Rausis;

Theorizing policy diffusion: from a patchy set of mechanisms to a paradigmatic typology

Abstract

In recent decades, we have witnessed the diffusion of policy diffusion studies across many sub-disciplines of political science. Four mechanisms of policy diffusion—learning, competition, emulation and coercion—have become widely accepted as explanations for how policymaking processes and policy outcomes in one polity influence those in other polities. After pointing to major shortcomings of this inductively gained set of mechanisms, we present a theoretically more coherent typology that draws on key concepts from International Relations and Policy Studies. The four mechanisms we lay down consider rationalist and social constructivist approaches equally and they incorporate symmetric and asymmetric constellations. By further distinguishing between processes confined to one policy field and those arising from links across policy fields, we present a typology of eight theoretically consistent pathways of policy diffusion. Our framework enables the aggregation of knowledge and contributes to conceptual coherence in multi-methods research.

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Switzerland, Switzerland
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Keywords

mechanisms, mixed methods, policy change, Science Policy, Biophysics, Mental Health, 330 - Wirtschaft, Genetics, Mechanisms, Medicine, typological theory, policy diffusion, policy transfer, Physical Sciences not elsewhere classified, Biological Sciences not elsewhere classified

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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68
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5
57
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hybrid
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Science and Innovation Policy Studies