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Research.fi
Review . 2021 . Peer-reviewed
License: CC BY
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How Do State Gambling Monopolies Affect Levels of Gambling Harm?

Authors: Nikkinen Janne; Egerer Michael; Marionneau Virve;

How Do State Gambling Monopolies Affect Levels of Gambling Harm?

Abstract

Purpose of Review: This systematic literature review evaluates the potential of gambling monopolies to affect gambling harms. It compares the occurrence of gambling harms in jurisdictions with gambling monopolies to jurisdictions with license-based regimes. Recent Findings: The review identified 21 publications concerning three gambling-related harm indicators: problem gambling prevalence, total consumption, and the appearance of conflicts of interest. Due to the dearth of literature, concept papers and older publications were also included. Summary: Results show that there is a paucity of empirical research on the effectiveness of different regulatory regimes in affecting gambling harms. Available research demonstrates that monopolistic regimes appear to perform somewhat better in terms of problem gambling prevalence and total consumption but may also be more prone to conflicts of interest than license-based regimes. Monopolistic configurations also differ between themselves, and issues such as availability, accessibility, product range, scope of preventive work, monitoring, as well as the recognition of the public health approach may better predict the levels of harm in society than the existence of a monopoly.

Peer reviewed

Country
Finland
Related Organizations
Keywords

Sociology, Licensing, Gambling, PATTERNS, Total consumption, FRANCE, CONSUMPTION, Review, POLICY, Monopoly, GOVERNMENT, Conflict of interest, Problem gambling

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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!
0
Average
Average
Average
Green
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