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TWO‐CHOSEN‐ONE TAXATION: EXAMINING ITS POTENTIAL EFFECTIVENESS TO REDUCE DRINKING INITIATION AND HEAVY ALCOHOL CONSUMPTION IN LOW‐ TO MIDDLE‐INCOME COUNTRIES

2012· letter· en· W1991475481 on OpenAlexaff
Bundit Sornpaisarn, Kevin D. Shield, Jürgen Rehm

Bibliographic record

VenueAddiction · 2012
Typeletter
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsPublic Health OntarioUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsConsumption (sociology)EconomicsInflation (cosmology)Public economicsAlcohol consumptionIndex (typography)Ad valorem taxMonetary economicsDouble taxationAlcohol

Abstract

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We would like to thank the commentators for their thoughtful comments in response to our for debate contribution [1]. All commentators were in agreement that ‘two-chosen-one’ (2C1) taxation may have the potential to reduce alcohol consumption and drinking initiation in low- and middle-income countries (LMIC) which have a high prevalence of abstainers [1–5]. However, as noted in the paper and by the commentators, 2C1 taxation may have limitations in terms of unrecorded consumption, tax rate implementation and potential changes in beverage preferences. Medina-Mora raises the concern of a potential shift in alcohol consumption towards unrecorded alcoholic beverages as taxation increases [5]. Such a shift may be associated with all taxation increases [6,7], and is not specific to 2C1 taxation. Our evidence base for control of unrecorded alcohol consumption is limited, but some measures exist and should be the subject of further study [7]. Sarntisart notes that specific taxation rates should be linked to an inflation index [3,8]; otherwise, the relative cost of the tax will decrease with inflation. 2C1 taxation has an advantage over specific (only) taxation in that the ad valorem component of 2C1 taxation will act as a taxation floor, which creates inflation-binding taxation. None the less, 2C1's specific tax rate should be linked with inflation. Sarntisart also raises the issue of companies reporting abnormally low ex-factory prices to reduce the ad valorem tax rate [9]. To resolve this problem, governments should implement measures to verify the accuracy of the ex-factory prices reported by the manufacturing companies and/or base ad valorem taxation on the retail price. We agree with Österberg regarding the need for consistent taxation rates for similar beverages [4]; otherwise, the effectiveness of taxation will be less due to substitution effects [10]. In Thailand, differential tax rates have been the result of the political influence of alcohol companies [11], and such influences in general often hinder the implementation of best practices around the world. Österberg also raises the concern that changes in beverage preferences will decrease the effectiveness of the 2C1 taxation system. As 2C1 taxation levies a specific tax based on alcohol content on the cheapest alcoholic beverages which heavy consumers of alcohol purchase, 2C1 taxation will be effective in decreasing alcohol consumption among heavy drinkers. We disagree with Cook's conclusion that age restrictions may be better than taxation in reducing drinking initiation in Thailand, as the US data upon which this conclusion was based examined the effects of taxation on 30-day abstinence, which is different from life-time abstention. Life-time abstention is an embedded value in the culture of Thailand and other LMIC countries, and half of drinkers in Thailand do not consume alcohol before the age of 20 years [12]. Although higher tax rates on beverages preferred by youth and on high-alcohol content beverages can be achieved through methods such as minimum pricing [13], this may lead to fair trade violations [14] and has the potential downside of increased profits going to the alcohol industry. In summary, because LMICs typically have a high prevalence of life-time abstainers, an alternative view of alcohol control policies may be required which addresses simultaneously the issues of drinking initiation prevention among youths and of harmful alcohol consumption among heavy drinkers [15]. 2C1 taxation is a system which may accomplish both objectives. However, to implement 2C1 taxation effectively, governments need to implement equal tax rates among similar beverages, bind specific taxation rates to inflation, and either verify the accuracy of ex-factory price declarations or tie ad valorem taxation to alcohol retail prices. None.

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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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.049
GPT teacher head0.300
Teacher spread0.251 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations7
Published2012
Admission routes1
Has abstractyes

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