Elasticity of alcohol consumption, alcohol-related harms, and drinking initiation in low- and middle-income countries: A systematic review and meta-analysis
Bibliographic record
Abstract
Sornpaisarn, B., Shield, K. Cohen, J., Schwartz, R. & Rehm, J. (2013). Elasticity of alcohol consumption, alcohol-related harms, and drinking initiation in low- and middle-income countries: A systematic review and meta-analysis. International Journal of Alcohol and Drug Research, 2(1), 45-58. doi: 10.7895/ijadr.v2i1.50 (http://dx.doi.org/10.7895/ijadr.v2i1.50)Aim: To systematically review research outlining the effects of price and taxation on alcohol consumption, alcohol-related harms, and drinking initiation in low- and middle-income countries (LMIC).Design: The systematic review and meta-analyses were conducted according to internationally standardized protocols (Preferred Reporting Items for Systematic Review and Meta-Analysis; PRISMA). Data were collected up to June 2011 by searching the peer-reviewed article databases MEDLINE, EMBASE, PsycINFO, and EconLit, along with the World Health Organization’s gray literature Database of Abstracts of Reviews of Effects, and by reference tracking. The meta-analyses were performed using random effects analysis, tests for publication bias, and sensitivity analyses.Measures: Any type of association between alcohol price and/or taxation and alcohol consumption, alcohol-related harms, and alcohol drinking initiation in LMIC.Findings: Our systematic search disclosed 12 studies that outlined an association between alcohol price or taxation and alcohol consumption in LMIC, while no articles were found that outlined a relationship between taxation and/or price and alcohol-related harms or drinking initiation in LMIC. The elasticity estimates were –0.64 (95% CI: –0.80 to –0.48) for total consumption of alcohol, –0.50 (95% CI: –0.78 to –0.21) for consumption of beer, and –0.79 (95% CI: –1.09 to –0.49) for consumption of other alcoholic beverages. Publication bias did not significantly affect the estimated elasticities.Conclusion: Price elasticity of demand for alcohol in LMIC is similar to that found in high-income countries. There is an imperative need for research on the association between alcohol price or taxation and alcohol-related harms and drinking initiation in LMIC.
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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 | 0.028 | 0.058 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.022 | 0.055 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".