Consumer-citizen willingness to pay for healthy eating messages

Yuxia Ouyang, Amit Sharma

Research output: Contribution to journalArticle

Abstract

Purpose: The purpose of this study was to investigate the preference of health-warning message labeling in an eating-away-from-home context. The authors assessed individuals’ preference valuation of such messaging from a dual – consumer and citizen – perspective and with associated expected risk reduction (RR) level. Design/methodology/approach: In an online stated choice experiment on Amazon’s Mechanical Turk (N = 658), participants were asked to provide willingness to pay (WTP) preferences for health-warning messages and based on the expected RR from health-warning messages. Two types of multiple price list questions were used for consumer and citizen contexts. Interval regression and descriptive analysis methods were applied to analyze the data. Findings: The study found that individuals placed a higher value (higher WTP) on health-warning message labeling when acting as citizens rather than as consumers. An RR expectation of 50 per cent was most effective in increasing participants’ WTP. Individuals who ate out frequently were more concerned about healthier food messages, and the influence of gender and age on WTP was conditional on individuals’ roles as consumers versus citizens. Originality/value: This study extends the theory of consumer-citizen duality to the context of health-related information labeling, thus opening the discussion to extending such labeling from traditionally risky behavior such as alcohol and tobacco to also including food choice behavior. The authors also highlight implications on policy and industry practices to promote healthy food choices through such messages.

Original languageEnglish (US)
Pages (from-to)890-909
Number of pages20
JournalInternational Journal of Contemporary Hospitality Management
Volume31
Issue number2
DOIs
StatePublished - Feb 11 2019

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willingness to pay
food
tobacco
valuation
alcohol
gender
citizen
health
Willingness-to-pay
Health
Healthy eating
methodology
labelling
Labeling
Warning
industry
risk reduction
Risk reduction
experiment
Food choice

All Science Journal Classification (ASJC) codes

  • Tourism, Leisure and Hospitality Management

Cite this

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abstract = "Purpose: The purpose of this study was to investigate the preference of health-warning message labeling in an eating-away-from-home context. The authors assessed individuals’ preference valuation of such messaging from a dual – consumer and citizen – perspective and with associated expected risk reduction (RR) level. Design/methodology/approach: In an online stated choice experiment on Amazon’s Mechanical Turk (N = 658), participants were asked to provide willingness to pay (WTP) preferences for health-warning messages and based on the expected RR from health-warning messages. Two types of multiple price list questions were used for consumer and citizen contexts. Interval regression and descriptive analysis methods were applied to analyze the data. Findings: The study found that individuals placed a higher value (higher WTP) on health-warning message labeling when acting as citizens rather than as consumers. An RR expectation of 50 per cent was most effective in increasing participants’ WTP. Individuals who ate out frequently were more concerned about healthier food messages, and the influence of gender and age on WTP was conditional on individuals’ roles as consumers versus citizens. Originality/value: This study extends the theory of consumer-citizen duality to the context of health-related information labeling, thus opening the discussion to extending such labeling from traditionally risky behavior such as alcohol and tobacco to also including food choice behavior. The authors also highlight implications on policy and industry practices to promote healthy food choices through such messages.",
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Consumer-citizen willingness to pay for healthy eating messages. / Ouyang, Yuxia; Sharma, Amit.

In: International Journal of Contemporary Hospitality Management, Vol. 31, No. 2, 11.02.2019, p. 890-909.

Research output: Contribution to journalArticle

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