Grace Randolph C, Kivell Bronwyn M, Laugesen Murray
Department of Psychology, University of Canterbury, Christchurch, New Zealand.
Victoria University of Wellington, School of Biological Sciences, Wellington, New Zealand.
Tob Control. 2015 Nov;24(6):582-7. doi: 10.1136/tobaccocontrol-2014-051594. Epub 2014 Jul 22.
Tobacco excise taxes are known to be effective in reducing smoking at the population level, but less research has examined how individual smokers respond to changes in tax policy. We ask whether price elasticities for individual smokers, derived from simulated demand curves obtained with a cigarette purchase task (CPT), can predict changes in smoking after a tax increase.
Smokers (N=357) were recruited from four New Zealand cities and interviewed before and after a 10% tobacco excise tax increase.
Simulated demand curves from the CPT were curvilinear and well described by an exponential model. Smokers reported significant reductions in cigarettes/day and addiction scores at Wave 2 (n=226). Local elasticities derived from the demand curves significantly predicted decreases in cigarettes/day after controlling for covariates.
Elasticities from simulated demand curves can predict decreases in consumption for individual smokers after an excise tax increase. Understanding individual differences in tobacco demand curves may help to predict how different groups of smokers will respond to price increases.
烟草消费税在降低总体吸烟率方面已被证明是有效的,但较少有研究探讨个体吸烟者如何应对税收政策的变化。我们要问,通过香烟购买任务(CPT)获得的模拟需求曲线得出的个体吸烟者的价格弹性,能否预测增税后吸烟行为的变化。
从新西兰四个城市招募吸烟者(N = 357),并在烟草消费税提高10%之前和之后进行访谈。
CPT的模拟需求曲线呈曲线状,可用指数模型很好地描述。吸烟者报告在第二阶段(n = 226)每日吸烟量和成瘾得分显著降低。在控制协变量后,从需求曲线得出的局部弹性显著预测了每日吸烟量的减少。
模拟需求曲线的弹性可以预测消费税提高后个体吸烟者的消费量下降。了解烟草需求曲线的个体差异可能有助于预测不同吸烟者群体对价格上涨的反应。