190
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

A bias in measuring consumer responses towards food safety issues due to imperfect substitution between foods

Pages 823-827 | Published online: 15 Apr 2014
 

Abstract

This study attempts to show that observed consumption change may not correctly depict consumer opinions and responses towards food safety issues due to the lack of suitable substitutes for foods with controversial safety. If there is no suitable alternative for consumers to alter their eating habits, consumers may not change consumption patterns, although they feel that consuming problem foods is risky. This study provides empirical evidence of this phenomenon using a consumer survey regarding the 2010–2011 foot and mouth disease outbreak in South Korea. The results show that the ratio of respondents who did not cease consumption of the implicated products due to lack of a suitable substitute was sizeable. This suggests that when we utilize observed consumption data, we may underestimate consumer responses to food safety issues.

JEL Classification:

Notes

1 The name of the company is the World Survey, located in Daejeon, South Korea, http://www.wsurvey.net.

2 For information regarding South Korean consumers’ responses towards the two outbreaks, refer, e.g., Jin (Citation2008).

3 This specifically pertains to the Fukushima Daiichi nuclear disaster in Japan, following the Tōhoku earthquake and tsunami on 11 March 2011.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 205.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.