Siegrist Michael, Sütterlin Bernadette
ETH Zurich, Institute for Environmental Decisions (IED), Consumer Behavior, Universitätstrasse 22, 8092 Zurich, Switzerland.
ETH Zurich, Switzerland.
Appetite. 2017 Jun 1;113:320-326. doi: 10.1016/j.appet.2017.03.019. Epub 2017 Mar 14.
Four experiments examined some factors influencing the perceived naturalness of food products and their biasing effect on risk perception. The results of Experiment 1a showed that three food additives displaying their respective E-numbers (i.e., codes for food additives in the European Union and Switzerland) decreased perceived naturalness. Experiment 1b demonstrated that mentioning possible health effects decreased the perceived naturalness of a plant-based food additive. This experiment further showed that it would not matter for perceived naturalness whether the food was synthetic or nature-identical. Moreover, the results of Experiments 2 and 3 suggested that the same risk associated with meat consumption was much more acceptable for traditionally produced meat compared with in-vitro meat. Experiment 3 further indicated that the perceived naturalness of the meat (i.e., traditional or cultured meat) had a full mediation effect on participants' evaluation of the acceptability of the risk of colon cancer associated with the meat consumption. Even if the new production method (i.e., cultured meat) was more environmentally friendly and less harmful to animals, the perceived lack of naturalness might reduce the acceptability of the risk associated with such a product. The present study provides evidence that consumers rely on symbolic information when evaluating foods, which may lead to biased judgments and decisions.
四项实验研究了影响食品感知自然度的一些因素及其对风险感知的偏差效应。实验1a的结果表明,三种显示各自E编码(即欧盟和瑞士食品添加剂的编码)的食品添加剂降低了感知自然度。实验1b表明,提及可能的健康影响会降低一种植物性食品添加剂的感知自然度。该实验进一步表明,食品是合成的还是天然等同的,对感知自然度并无影响。此外,实验2和3的结果表明,与肉类消费相关的相同风险,传统生产的肉类比体外培养肉更容易被接受。实验3进一步表明,肉类(即传统肉类或培养肉)的感知自然度对参与者对与肉类消费相关的结肠癌风险可接受性的评价具有完全中介作用。即使新的生产方法(即培养肉)更环保且对动物危害更小,但感知到的缺乏自然度可能会降低与该产品相关风险的可接受性。本研究提供了证据,表明消费者在评估食品时依赖符号信息,这可能导致有偏差的判断和决策。