Chinese smokers’ cigarette purchase behaviours, cigarette prices and consumption: findings from the ITC China Survey
Bibliographic record
Abstract
BACKGROUND: While cigarette purchasing behaviour has been shown to be linked with certain tobacco use outcomes such as quit intentions and quit attempts, there have been very few studies examining cigarette purchasing behaviours and their impact on cigarette price and consumption in China, the world's largest cigarette consumer. OBJECTIVE: The aim of the present study was to examine the extent and determinants of cost/price-related purchase behaviours, and estimate the impact of these behaviours on cigarette prices paid by Chinese smokers. It also assesses the socioeconomic differences in compensatory purchase behaviours, and examines how they influence the relationship between purchase behaviours, cigarette prices and cigarette consumption. METHODS: Multivariate analyses using the general estimating equations method were conducted using data from the International Tobacco Control China Survey (the ITC China Survey), a longitudinal survey of adult smokers in seven cities in China: Beijing, Changsha, Guangzhou, Kunming, Shanghai, Shenyang and Yinchuan. In each city, about 800 smokers were surveyed in each wave. The first three waves--wave 1 (conducted between March to December 2006), wave 2 (November 2007 to March 2008) and wave 3 (May to October 2009 and February to March 2010)--of the ITC China Survey data were used in this analysis. Various aspects of smokers' self-reported price/cost-related cigarette purchasing behaviours were analysed. RESULTS: Nearly three-quarters (72%) of smokers surveyed indicated that a major reason they chose their most-used cigarette brand was its low cost/price. Almost half (50.6%) of smokers reported buying in cartons in their most recent cigarette purchase. Smokers with lower income and/or low levels of education were more likely to choose a brand because of its low cost/price. However, those with higher income and/or high levels of education were more likely to buy cartons. Gender and age were also related to type of purchase behaviours. Those behaviours led to reductions in purchase prices. The price savings ranged from ¥0.54 to ¥1.01 per pack of cigarettes, depending on the behaviour examined, representing a price reduction of 8% to 15%. CONCLUSIONS: A significant portion of Chinese urban adult smokers engaged in cost/price-reducing purchase behaviours. Such behaviours reduce cigarette purchase prices and are associated with increased cigarette consumption. Smokers of different socioeconomic status engaged in different purchase behaviours to mitigate the impact of higher cigarette prices. Reducing tobacco use through raising tobacco taxes/prices in China needs to take into account these cost/price-reducing behaviours.
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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 | 0.001 | 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) | 0.002 | 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".