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https://doi.org/10.5...arrow_drop_down
https://doi.org/10.51952/97815...
Part of book or chapter of book . 2020 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.1332/policy...
Part of book or chapter of book . 2020 . Peer-reviewed
Data sources: Crossref
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Problem Gambling

Authors: Keith Dowding;

Problem Gambling

Abstract

In the past government pursued a moralistic and paternalistic policy with regard to gambling. However, in many countries, governments have relaxed regulations, whilst not treating gambling quite like other goods. This relaxation of regulations benefits many people who like to gamble, but has led to a growing issue of problem gamblers and addicts: gambling harms not only their welfare, but also that of their families. This chapter examines the issue of problem gambling, and how the gambling industry both exploits and also tries to help them. It argues that whilst government has recognized problem gambling, it could focus regulation more directly, given our knowledge of how people become addicted and what sort of gambling machines cause the greatest problems. Using Norway as a case study, the chapter demonstrates how specific regulations can have a big effect.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
1
Average
Average
Average
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