TY - JOUR
T1 - Growth and gaps
T2 - a meta-review of policy diffusion studies in the American states
AU - Mallinson, Daniel J.
N1 - Funding Information:
This research has been funded by Stockton University’s Provost Faculty Opportunity Funds and Research & Professional Development funds.
Funding Information:
The author would like to thank Luke Yingling, Nick Turnier and Tom Delany for their help in coding and checking the database and Christopher Ojeda and Julie Pacheco for their comments and suggestions on the manuscript. Earlier versions of these results were presented at the 2018 State Politics and Policy Conference in State College, PA and the 2014 American Political Science Association Annual Meeting in Washington, DC. Any errors or omissions are the responsibility of the author.
Publisher Copyright:
© 2021 Policy Press. All Rights Reserved.
PY - 2021/7
Y1 - 2021/7
N2 - Research on how policies diffuse throughout the American federal system is robust and vast, but there has yet to be a systematic accounting for its results. Using a systematic review and metaanalysis, this study presents the most comprehensive analysis to date of how policy innovation flows state-to-state and the average effects of commonly used variables in the study of policy diffusion (for example, neighbour adoptions, ideological distance between states and legislative professionalism). Additionally, heterogeneity in these effects is examined across regulatory, morality and governance policy types. The study not only estimates these weighted-average effects, but it also illuminates important biases in policy diffusion research. The article concludes by making recommendations for addressing those biases and increasing international collaboration on policy innovation research and results synthesis.
AB - Research on how policies diffuse throughout the American federal system is robust and vast, but there has yet to be a systematic accounting for its results. Using a systematic review and metaanalysis, this study presents the most comprehensive analysis to date of how policy innovation flows state-to-state and the average effects of commonly used variables in the study of policy diffusion (for example, neighbour adoptions, ideological distance between states and legislative professionalism). Additionally, heterogeneity in these effects is examined across regulatory, morality and governance policy types. The study not only estimates these weighted-average effects, but it also illuminates important biases in policy diffusion research. The article concludes by making recommendations for addressing those biases and increasing international collaboration on policy innovation research and results synthesis.
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U2 - 10.1332/030557321X16119271286848
DO - 10.1332/030557321X16119271286848
M3 - Article
AN - SCOPUS:85107001806
SN - 0305-5736
VL - 49
SP - 369
EP - 389
JO - Policy and Politics
JF - Policy and Politics
IS - 3
ER -