Trend in the affordability of tobacco products in Bangladesh: findings from the ITC Bangladesh Surveys
Bibliographic record
Abstract
BACKGROUND: The price of tobacco products in relation to the income of tobacco users-affordability-is recognised as a key determinant of tobacco use behaviour. The effectiveness of a price increase as a deterrent to tobacco use depends on how much price increases in relation to the income of the potential users. The aim of this paper is to examine the distribution of and trends in the affordability of tobacco products in Bangladesh. METHOD: Using four waves of International Tobacco Control Survey data on Bangladesh, this study measures affordability of tobacco products at the individual level as the ratio of self-reported price and self-reported income. The trends in affordability by brand categories of cigarettes and of bidi and smokeless tobacco are estimated using multivariate linear regression analysis. RESULTS: Despite significant increase in price, the affordability of cigarettes increased between 2009 and 2014-2015 due to income growth outpacing price increase. The increase was disproportionately larger for more expensive brands. The affordability of bidis increased over this period as well. The affordability of smokeless tobacco products remained unchanged between 2011-2012 and 2014-2015. CONCLUSION: The tax increases that were implemented during 2009-2015 were not enough to increase tobacco product prices sufficiently to outweigh the effect of income growth, and to reduce tobacco consumption. The findings from this research inform policymakers that in countries experiencing rapid economic growth, significant tax increases are needed to counteract the effect of income growth, in order for the tax increases to be effective in reducing tobacco use.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".