Policy formulation, governance shifts and policy influence: location and content in policy advisory systems

Jonathan Craft, Michael Howlett

Journal of Public Policy · 2012 · 286 citations · 76 references

Concepts

TL;DR

Policy formulation research has traditionally framed policy advisory systems by focusing on the location of advisors relative to government and categorizing advice as either partisan or technical. The article evaluates how governance shifts blur locational and content distinctions in policy advisory systems and proposes a revised model that emphasizes content over location, while outlining future research hypotheses. The authors propose a revised model that views policy influence as driven by content rather than advisor location. The study finds that increasing advisory plurality and polycentric governance undermine the usefulness of traditional locational and content‑based models of policy advice.

Abstract

Abstract Most studies of policy formulation focus on the nature and kind of advice provided to decision-makers and think of this as originating from a system of interacting elements: a “policy advisory system”. Policy influence in such models has historically been viewed as based on considerations of the proximate location of policy advisors vis à vis the government, linked to related factors such as the extent to which governments are able to control sources of advice. While not explicitly stated, this approach typically presents the content of policy advice as either partisan “political” or administratively “technical” in nature. This article assesses the merits of these locational models against evidence of shifts in governance arrangements that have blurred both the inside vs outside and technical vs political dimensions of policy formulation environments. It argues that the growing plurality of advisory sources and the polycentrism associated with these governance shifts challenge the utility of both the implied content and locational dimensions of traditional models of policy advice systems. A revised approach is advanced that sees influence more as a product of content than location. The article concludes by raising several hypotheses for future research linking advisory system behaviour to governance arrangements.

References

76