U.S. Consumers' Willingness to Pay for Labeling Information on Genetically Modified Foods: An Application of Choice Modeling

Benjamin M. Onyango, Rodolfo Nayga and Ramu Govindasamy

No 19490, 2005 Annual meeting, July 24-27, Providence, RI from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

Abstract: This study analyzes U.S. consumers' valuation of five types of genetically modified food labels on a cornflakes cereal product. Using a nationwide survey and choice-modeling framework, results indicate that consumers value the label "contains no genetically modified corn" the most with a mean willingness to pay of 20 more cents, followed by "USDA approved genetically modified corn" with a mean willingness to pay of 9 more cents, and "corn genetically modified to reduce pesticide residues in your food" with a mean willingness to pay of 7 more cents. Results also suggest that consumers negatively value the labels "contains genetically modified corn" with a mean willingness to pay of 13 less cents and "may contain genetically modified corn" with a mean willingness to pay of 2 less cents.

Keywords: Consumer/Household; Economics (search for similar items in EconPapers)
Pages: 21
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://ageconsearch.umn.edu/record/19490/files/sp05on01.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea05:19490

DOI: 10.22004/ag.econ.19490

Access Statistics for this paper

More papers in 2005 Annual meeting, July 24-27, Providence, RI from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().