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Record W4288057929 · doi:10.1016/s2468-2667(22)00144-x

Risks of using taxation as a public health measure to reduce gambling-related harms

2022· letter· en· W4288057929 on OpenAlexfundaboutno aff
Philip Newall, Matthew Rockloff

Bibliographic record

VenueThe Lancet Public Health · 2022
Typeletter
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
FundersQueensland Treasury, Queensland GovernmentAlberta Gambling Research Institute, University of CalgaryGambleAwareResponsible Gambling FundGambling Research Exchange OntarioDepartment of Families, Housing, Community Services and Indigenous Affairs
KeywordsScopusPublic healthJournal of Public HealthHarm reductionHarmExciseAddictionConsumption (sociology)Political scienceMedicinePsychologyPublic health policyMEDLINEHealth policyPsychiatrySociologySocial scienceLawNursing

Abstract

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Taxation can be used to increase the prices of and reduce the consumption and harms arising from public health concerns related to tobacco, alcohol, and sugary drinks.1Chaloupka FJ Powell LM Warner KE The use of excise taxes to reduce tobacco, alcohol, and sugary beverage consumption.Annu Rev Public Health. 2019; 40: 187-201Crossref PubMed Scopus (108) Google Scholar Gambling is another public health concern,2Goyder E Blank L Baxter S van Schalkwyk MC Tackling gambling related harms as a public health issue.Lancet Public Health. 2020; 5: e14-e15Summary Full Text Full Text PDF PubMed Scopus (25) Google Scholar, 3Wardle H Reith G Langham E Rogers RD Gambling and public health: we need policy action to prevent harm.Br Med J. 2019; 365: 1Google Scholar, 4Browne M Langham E Rawat V et al.Assessing gambling-related harm in Victoria: a public health perspective. Victorian Responsible Gambling Foundation, Melbourne2016Google Scholar and some authors have therefore made the analogous recommendation that gambling-related harms might also be reduced via increases in taxation.2Goyder E Blank L Baxter S van Schalkwyk MC Tackling gambling related harms as a public health issue.Lancet Public Health. 2020; 5: e14-e15Summary Full Text Full Text PDF PubMed Scopus (25) Google Scholar, 5Sulkunen P Babor TF Cisneros Örnberg J et al.Setting limits: gambling, science and public policy—summary of results.Addiction. 2021; 116: 32-40Crossref PubMed Scopus (8) Google Scholar However, this recommendation neglects the fact that it is largely excessive gambling losses, rather than the act of gambling itself, that produces gambling-related harm.6Browne M Rockloff M Measuring harm from gambling and estimating its distribution in the population.in: Bowden-Jones H Dickson C Dunand C Simon O Harm Reduction for Problem Gambling: A Public Health Approach. Routledge, 2019: 14-22Crossref Google Scholar Gambling taxes can have negative effects on gambling-related harm via this channel of increasing the losses of gamblers. The UK government has previously taxed the winnings of gamblers.7Royal CommissionFinal Report of the Royal Commission on Gambling. HMSO, London1978Google Scholar However, this tax effectively increased the overall net losses of gamblers, because any wins were shrunk by the incidence of the tax. Furthermore, this tax fuelled the black market, because it provided an aspect of price that illegal operators could compete on.7Royal CommissionFinal Report of the Royal Commission on Gambling. HMSO, London1978Google Scholar Taxing gambling operators is another approach. However, operators are incentivised by profits net of taxes. Any tax increase therefore means the operator must increase gambler losses, and therefore harm, just to maintain a steady level of profit for its owners. A smart gambling tax on operator profits, which is higher on more harmful products, is likely to be the most resistant to these concerns.2Goyder E Blank L Baxter S van Schalkwyk MC Tackling gambling related harms as a public health issue.Lancet Public Health. 2020; 5: e14-e15Summary Full Text Full Text PDF PubMed Scopus (25) Google Scholar However, any smart tax requires an exact quantification of gambling-related harm to be implemented optimally. Gambling researchers can largely agree on which gambling products are the most harmful,8Delfabbro P King DL Browne M Dowling NA Do EGMs have a stronger association with problem gambling than racing and casino table games? Evidence from a decade of Australian prevalence studies.J Gambling Studies. 2020; 36: 499-511Crossref PubMed Scopus (28) Google Scholar but cannot precisely quantify these differences. Furthermore, governments can become overly reliant on gambling taxation revenue. Many governments legalised gambling to raise taxation revenue for other social issues.9Adams PJ Gambling, freedom and democracy. Routledge, New York2008Google Scholar This approach can make it harder to enact other public health measures for gambling, which will necessarily reduce gamblers losses and corresponding taxation revenue. Hypothecation of gambling taxes, so that they can only be spent on gambling issues, is necessary to eliminate these risks.7Royal CommissionFinal Report of the Royal Commission on Gambling. HMSO, London1978Google Scholar Taxation has been effective with tobacco, alcohol, and sugary drinks.1Chaloupka FJ Powell LM Warner KE The use of excise taxes to reduce tobacco, alcohol, and sugary beverage consumption.Annu Rev Public Health. 2019; 40: 187-201Crossref PubMed Scopus (108) Google Scholar But analogous recommendations for gambling pose risks because of the harmful effects of excessive gambling losses. For the UK government's current review of gambling, we are in favour of the proposed 1% hypothecated levy on gambling profits to spend on gambling research, education, and treatment. But additional gambling taxes might do more harm than good. PN is a member of the Advisory Board for Safer Gambling, an advisory group of the Gambling Commission in Great Britain, and in 2020 was a special advisor to the House of Lords Select Committee Enquiry on the Social and Economic Impact of the Gambling Industry. In the past 5 years PWSN has contributed to research projects funded by Clean Up Gambling, GambleAware, Gambling Research Australia, NSW Responsible Gambling Fund, and the Victorian Responsible Gambling Foundation. PWSN has received travel and accommodation funding from the Spanish Federation of Rehabilitated Gamblers and received open-access-fee grant income from Gambling Research Exchange Ontario. MJR has received research funds from Gambling Research Australia, Victorian Responsible Gambling Foundation, Queensland Treasury, Victorian Treasury, NSW Responsible Gambling Fund, NSW Office of Liquor & Gaming, Tasmanian Department of Treasury and Finance, New Zealand Ministry of Health, Department of Families, Housing, Community Services and Indigenous Affairs, Alberta Gambling Research Institute, and the First Nations Foundation. MJR declares no competing interests in relation to this manuscript. Cryptocurrency and new financial instruments: unquantified public health harmsPublic health harms from gambling are now well recognised. Public Health England estimates societal gambling-related harm in England exceeds £1·27 billion. Australian research estimates that the years lost to disability from gambling exceeds that of diabetes.1 Policy makers have begun to take action; gambling advertising and sponsorship is banned in Italy, and English football clubs and the UK government are currently considering sponsorship bans for the Premier League.2 Full-Text PDF Open Access

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.299
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.661
GPT teacher head0.522
Teacher spread0.139 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2022
Admission routes2
Has abstractyes

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