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Record W2925003160 · doi:10.33423/jabe.v20i3.343

Global Alliance Against Tobacco Marketing: Do Increased Taxation of Tobacco Products Decrease Tobacco Consumption?

2018· article· en· W2925003160 on OpenAlexvenueno aff
Amit Mukherjee, E. M. Ekanayake

Bibliographic record

VenueJournal of Applied Business and Economics · 2018
Typearticle
Languageen
FieldEnergy
TopicEnergy, Environment, and Transportation Policies
Canadian institutionsnot available
Fundersnot available
KeywordsConsumption (sociology)Tobacco controlTobacco useTobacco industryEconomicsSmoking prevalenceAlliancePublic economicsBusinessEnvironmental healthMedicinePolitical sciencePublic health

Abstract

fetched live from OpenAlex

The prevailing wisdom in tobacco control literature is that adroit use of taxation policy will reduce the prevalence of tobacco use because when tobacco prices go up, consumption goes down. Empirical evidence of this axiomatic inverse relationship has been sparse. This paper analyzes the effects of increased taxation on consumption of tobacco products in 136 countries during 2009-2015. Results indicate that there is weak negative relationship between change in adult smoking prevalence and change in taxation suggesting that higher tax rates on tobacco products tend to lower adult smoking prevalence, but in a modest rather than robust sort of way.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score0.817

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.215
Teacher spread0.203 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2018
Admission routes1
Has abstractyes

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