Blame avoidance and the implementation of ambiguity in Canadian cannabis legalization

Canadian cannabis legalization was destined to produce implementation gaps: it is a wicked policy issue, imbued with moral connotations, involving multiple levels of government, and formulated in an uncertain context. Those factors all pave the way for policy ambiguities. But why do these ambiguities appear? How do they shape the behavior of policy stakeholders? In this paper, we argue that, in order to manage the unique challenges of cannabis legalization, governments and central agencies rely on preemptive blame avoidance strategies. Ambiguities ensuing from the use of those strategies in turn enhance the responsibilities of implementers, while also limiting their capacity. We narrow down our analysis to the provinces of Ontario and Quebec, who have two contrasting regulatory models. Using data from semi-structured interviews and the grey literature, we highlight how ambiguities over the explicit and implicit objectives of legalization create opportunities to eschew blame. We find that blame avoidance structures policy resources and widens existing implementation gaps. Overall, this paper contributes to a better understanding of the role of blame avoidance in shaping implementation gaps.

Authors

Publication Details

Journal
International Review of Public Policy
Published
2025-01-01
DOI
https://doi.org/10.4000/13zew
Primary Topic
Risk Perception and Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blame avoidance and the implementation of ambiguity in Canadian cannabis legalization

Maude Benoit, Gabriel Lévesque
International Review of Public Policy
Risk Perception and Management
article

Blame avoidance and the implementation of ambiguity in Canadian cannabis legalization

Maude Benoit, Gabriel Lévesque
article en

Abstract

Canadian cannabis legalization was destined to produce implementation gaps: it is a wicked policy issue, imbued with moral connotations, involving multiple levels of government, and formulated in an uncertain context. Those factors all pave the way for policy ambiguities. But why do these ambiguities appear? How do they shape the behavior of policy stakeholders? In this paper, we argue that, in order to manage the unique challenges of cannabis legalization, governments and central agencies rely on preemptive blame avoidance strategies. Ambiguities ensuing from the use of those strategies in turn enhance the responsibilities of implementers, while also limiting their capacity. We narrow down our analysis to the provinces of Ontario and Quebec, who have two contrasting regulatory models. Using data from semi-structured interviews and the grey literature, we highlight how ambiguities over the explicit and implicit objectives of legalization create opportunities to eschew blame. We find that blame avoidance structures policy resources and widens existing implementation gaps. Overall, this paper contributes to a better understanding of the role of blame avoidance in shaping implementation gaps.

International Review of Public PolicyVol. 7(1)
Université du Québec à Montréal, Conseil Régional, Île-de-France, Agence Régionale de Santé Île-de-France, Social Sciences and Humanities Research Council of Canada
Openalex Percentile: Top 85%
Risk Perception and Management
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.

Blame avoidance and the implementation of ambiguity in Canadian cannabis legalization — Maude Benoit, Gabriel Lévesque · International Review of Public Policy (2025) | TGRS Research Map | TGRS