The purpose of policy portfolios: design, intention, and logic

Abstract We propose a qualitative method of assessing a policy mix’s content, which can be utilized alongside currently common quantitative techniques such as counting the number of tools, policies, and levels of government involved. Focussing on whether or not the mix promotes flexibility or standardization and whether it is intended to be maintaining or innovating helps to better map existing policy mixes and inform design decisions than do more contentless quantitative methods. It has implications for theories of policy-making in improving on current depictions of the nature and dynamics of policy mixes, especially with respect to the impact of procedural tools, and also helps underscore the significance of what often appear in quantitative studies to be marginal or incremental shifts in instruments and goals. The utility of the model and its improvement on existing methods are illustrated through examination of two cases of banking regulation and pension policy in Canada.

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Publication Details

Journal
Journal of Public Policy
Published
2024-10-31
DOI
https://doi.org/10.1017/s0143814x24000229
Citations
6
Primary Topic
Policy Transfer and Learning
Type
article
Field-Weighted Citation Impact
13.39
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article

The purpose of policy portfolios: design, intention, and logic

Andrea Migone, Michael P. Howlett
6 citations
Journal of Public Policy
Policy Transfer and Learning
13.39
article

The purpose of policy portfolios: design, intention, and logic

Andrea Migone, Michael P. Howlett
article en
6 citations

Abstract

Abstract We propose a qualitative method of assessing a policy mix’s content, which can be utilized alongside currently common quantitative techniques such as counting the number of tools, policies, and levels of government involved. Focussing on whether or not the mix promotes flexibility or standardization and whether it is intended to be maintaining or innovating helps to better map existing policy mixes and inform design decisions than do more contentless quantitative methods. It has implications for theories of policy-making in improving on current depictions of the nature and dynamics of policy mixes, especially with respect to the impact of procedural tools, and also helps underscore the significance of what often appear in quantitative studies to be marginal or incremental shifts in instruments and goals. The utility of the model and its improvement on existing methods are illustrated through examination of two cases of banking regulation and pension policy in Canada.

Journal of Public PolicyVol. 44(4)
Simon Fraser University (CA)
Openalex Percentile: Top 1%
Policy Transfer and Learning
13.39
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