Snider Sarah E, Cummings K Michael, Bickel Warren K
Addiction Recovery Research Center, Virginia Tech Carilion Research Institute 2 Riverside Circle, Roanoke, VA, 24016, USA.
Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, 68 President Street, Charleston, SC, 29425, USA.
Drug Alcohol Depend. 2017 Aug 1;177:14-22. doi: 10.1016/j.drugalcdep.2017.03.017. Epub 2017 May 19.
Models measuring the interactions between consumption of conventional cigarettes and electronic cigarettes (e-cigarettes) in the marketplace are becoming vital forecast tools as the popularity of e-cigarettes increases and policy on tobacco products changes. Behavioral economics, which involves the integration of psychology and consumer demand, can be used to measure individuals' purchase behavior under different marketplace conditions. Our goal was to measure hypothetical conventional cigarette and e-cigarette purchasing among smokers with varying e-cigarette use patterns.
Daily cigarette smokers were recruited using Amazon Mechanical Turk, an online crowdsourcing tool. Participants were asked about their frequency of e-cigarette use and to complete hypothetical single and cross-commodity purchase tasks.
Frequency of e-cigarette use differentially affected how individuals consumed both conventional and e- cigarettes in different hypothetical marketplace conditions. The present study demonstrates four main findings: 1) the demand for conventional cigarettes was the lowest in those with greater frequency of e-cigarette use, 2) the demand for e-cigarettes was the highest in those with greater frequency of e-cigarette use, 3) when both products were available together, daily e-cigarette users purchased more e-cigarettes, but e-cigarettes served as a substitute for cigarettes in all groups regardless of frequency of use, and 4) the demand for conventional cigarette demand was lower in frequent e-cigarette users when e-cigarettes were concurrently available.
Together, these data suggest that price and marketplace conditions will impact purchasing behavior of conventional and e-cigarettes users heterogeneously. Therefore, frequency of use patterns should be considered when implementing novel policies and/or marketplace changes.
随着电子烟的普及率上升以及烟草产品政策的变化,衡量传统香烟与电子烟在市场中相互作用的模型正成为至关重要的预测工具。行为经济学涉及心理学与消费者需求的整合,可用于衡量个体在不同市场条件下的购买行为。我们的目标是衡量不同电子烟使用模式的吸烟者对传统香烟和电子烟的假设性购买情况。
使用在线众包工具亚马逊土耳其机器人招募每日吸烟者。参与者被问及他们使用电子烟的频率,并完成假设性的单一商品和交叉商品购买任务。
电子烟的使用频率在不同的假设市场条件下对个体消费传统香烟和电子烟的方式产生了不同影响。本研究展示了四个主要发现:1)电子烟使用频率较高者对传统香烟的需求最低;2)电子烟使用频率较高者对电子烟的需求最高;3)当两种产品同时可得时,每日使用电子烟的用户购买更多电子烟,但无论使用频率如何,电子烟在所有群体中都可作为香烟的替代品;4)当电子烟同时可得时,频繁使用电子烟者对传统香烟的需求较低。
总体而言,这些数据表明价格和市场条件将对传统香烟和电子烟使用者的购买行为产生不同影响。因此,在实施新政策和/或市场变化时应考虑使用模式频率。