Sophie Hieke1, Petra Wilczynski. 1. Institute for Market-based Management, Munich School of Management, Ludwig-Maximilians-University Munich, Kaulbachstrasse 45, D-80539 Munich, Germany. sophie.hieke@eufic.org
Abstract
OBJECTIVE: As a means of empowering consumers, nutrition labelling has become a widely discussed topic. Simplicity and uniformity of labelling systems are regarded as the prevailing demands from the consumer side. In the present study, we analyse the effects of the traffic light signposting scheme on consumers' food choices. DESIGN: In an online survey, respondents first rated the understandability of the traffic light signposting scheme. In a following conjoint experiment, they indicated which products they would select as the healthiest of the presented products, based on the nutritive information provided by the traffic light signposting scheme. SETTING: A major German university. SUBJECTS: In total 2002 undergraduate students participated in the survey. Two-thirds (69 %) of the respondents were female and the majority of the respondents (70 %) were between 18 and 24 years old. Seventy-seven per cent of the participants indicated that they had a higher level of education. RESULTS: Overall, the participants rated the understandability of the traffic light nutrition signposting scheme fairly high (5.9 out of 7). Sugar and fat were found to be the most important attributes of the scheme. Participants placed greater emphases on a change in a product's nutrient characteristic from 'amber to 'red' compared with a change from 'green' to 'amber'. CONCLUSIONS: Our results confirm the signalling effect of colour coding as it helps reduce the complexity of decision making. Our findings shed new light on the ongoing discussion concerning appropriate and efficient nutrition labelling and provide interesting insights for further research as well as implications for public policy making.
OBJECTIVE: As a means of empowering consumers, nutrition labelling has become a widely discussed topic. Simplicity and uniformity of labelling systems are regarded as the prevailing demands from the consumer side. In the present study, we analyse the effects of the traffic light signposting scheme on consumers' food choices. DESIGN: In an online survey, respondents first rated the understandability of the traffic light signposting scheme. In a following conjoint experiment, they indicated which products they would select as the healthiest of the presented products, based on the nutritive information provided by the traffic light signposting scheme. SETTING: A major German university. SUBJECTS: In total 2002 undergraduate students participated in the survey. Two-thirds (69 %) of the respondents were female and the majority of the respondents (70 %) were between 18 and 24 years old. Seventy-seven per cent of the participants indicated that they had a higher level of education. RESULTS: Overall, the participants rated the understandability of the traffic light nutrition signposting scheme fairly high (5.9 out of 7). Sugar and fat were found to be the most important attributes of the scheme. Participants placed greater emphases on a change in a product's nutrient characteristic from 'amber to 'red' compared with a change from 'green' to 'amber'. CONCLUSIONS: Our results confirm the signalling effect of colour coding as it helps reduce the complexity of decision making. Our findings shed new light on the ongoing discussion concerning appropriate and efficient nutrition labelling and provide interesting insights for further research as well as implications for public policy making.
Authors: E Hobin; J Sacco; L Vanderlee; C M White; F Zuo; J Sheeshka; G McVey; M Fodor O'Brien; D Hammond Journal: Health Promot Chronic Dis Prev Can Date: 2015-12 Impact factor: 3.240
Authors: Ekaterina Volkova; Bruce Neal; Mike Rayner; Boyd Swinburn; Helen Eyles; Yannan Jiang; Jo Michie; Cliona Ni Mhurchu Journal: BMC Public Health Date: 2014-09-18 Impact factor: 3.295
Authors: Peter Scarborough; Anne Matthews; Helen Eyles; Asha Kaur; Charo Hodgkins; Monique M Raats; Mike Rayner Journal: Int J Behav Nutr Phys Act Date: 2015-12-12 Impact factor: 6.457