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Enregistrement 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 sur OpenAlexfundaboutno aff
Philip Newall, Matthew Rockloff

Notice bibliographique

RevueThe Lancet Public Health · 2022
Typeletter
Langueen
DomainePsychology
ThématiqueGambling Behavior and Treatments
Établissements canadiensnon disponible
Organismes subventionnairesQueensland Treasury, Queensland GovernmentAlberta Gambling Research Institute, University of CalgaryGambleAwareResponsible Gambling FundGambling Research Exchange OntarioDepartment of Families, Housing, Community Services and Indigenous Affairs
Mots-clésScopusPublic healthJournal of Public HealthHarm reductionHarmExciseAddictionConsumption (sociology)Political scienceMedicinePsychologyPublic health policyMEDLINEHealth policyPsychiatrySociologySocial scienceLawNursing

Résumé

récupéré en direct d'OpenAlex

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

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,299
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,004
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,661
Tête enseignante GPT0,522
Écart entre enseignants0,139 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2022
Routes d'admission2
Résumé présentoui

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