Evidence map›Paper›PMID 32765202›Full record

ArticleTobacco induced diseases2020

The effects of price and non-price policies on cigarette consumption in South Africa.

Ernest N Tingum, Alfred K Mukong, Noreen Mdege

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Effect of cigarette prices on cigarette consumption in Ghana.Drug and alcohol dependence reports · 2022
    Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ernest N TingumDepartment of Economics, University of Namibia, Windhoek, Namibia.
Alfred K MukongDepartment of Economics, University of Namibia, Windhoek, Namibia.
Noreen MdegeDepartment of Health Sciences, University of York, York, United Kingdom.

Funding

Medical Research Council MR/P027946/2
6 · The paper itself

Abstract

introductionThe health consequences of smoking are serious and have been frequently detailed. A reduction in tobacco-related mortality hinges upon the ability to reduce tobacco usage. There is overwhelming evidence that higher cigarette prices reduce the demand for cigarettes, but little is known about the combined effect of price and non-price policies. This paper seeks to extend the analysis of price elasticities by estimating the combined effect of changes in price and non-price legislations in South Africa.

methodsAnnual time-series data from 1961 to 2016 are used, with a policy index constructed to capture the instances of non-price tobacco legislation. We estimate the combined impact of changes in tobacco control policy on cigarette consumption using a vector error correction model (VECM) and a two-stage least squares (2SLS) model.

resultsThe estimated long-run own-price elasticities lie between -0.55 and -0.72, while the income elasticities lie between 0.39 and 0.49. The coefficients of the changing tobacco control policies and the changing market structure show that they contribute to a modest reduction in cigarette consumption. The short-run deviations from the steady state are presented using the error correction term (ECT).

conclusionsCigarette demand is responsive to cigarette prices and non-pricing policies but failure to control for non-pricing policies overstates the price effect. This suggests that both cigarette prices and non-pricing legislation are effective in reducing cigarette consumption.

Indexed as

cigarette consumptionnon-pricepriceSouth Africatobacco policy

Identifiers

PMID32765202
PMCPMC7398599

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.