The effect of taxation on tobacco consumption and public revenues in Lebanon
Bibliographic record
Abstract
BACKGROUND: Tobacco consumption rates in Lebanon are among the highest worldwide. The country ratified the Framework Convention on Tobacco Control in 2005. A law was passed in 2011 which regulates smoking in closed public spaces, bans advertising, and stipulates larger warnings. Despite international evidence confirming that increasing taxation on tobacco products lowers tobacco consumption, no such policy has yet been adopted: a cigarette pack costs on average US$1.50. To date no studies in Lebanon have addressed the welfare and public finance effects of increasing taxes on tobacco products. METHODS: Using the 2005 national survey of household living conditions, we estimate an almost ideal demand system to generate price elasticities of demand for tobacco. Using estimated elasticities and a conservative scenario for expected smuggling, we simulate the consumption and tax revenue effects of a change in the price of tobacco under various tax schemes. RESULTS: Increasing taxes on all tobacco products so as to double the price of imported cigarettes would lower their consumption by 7% and consumption of domestically produced cigarettes by over 90%. Young adults (ages 15-30) are more sensitive: consumption would drop by 9% for imported cigarettes and by 100% for domestic cigarettes. Government revenues would increase by approximately 52%. CONCLUSIONS: The estimated elasticities indicate that an increase in taxes on all tobacco products would lead to a reduction in consumption and an increase in government revenue. Evidence from Lebanon on the effectiveness of increased taxation may help initiate national debate on the need to raise taxes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".