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Cited by 177

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

The effects of prior beliefs and learning on consumers’ acceptance of genetically modified foods

Open access
Huffman, Wallace E., Rousu, Matthew, Shogren, Jason F., Tegene, Abebayehu·2007·Journal of Economic Behavior & Organization

Abstract

Abstract New food products using genetically modified crops appeared in U.S. supermarkets starting in 1996, and consumers’ perceived some risks. This paper examines the role of consumers prior beliefs about genetic modification and of diverse, new information on their willingness to pay for foods that might be genetically modified. We use data from economics experiments and show that participants who had informed prior beliefs discounted GM-labeled food products more highly than those who had uninformed prior beliefs. Uninformed participants were especially susceptible to information from interested and third parties. In contrast, informed participants were generally not affected significantly by new information.

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Crossref · 10.1016/j.jebo.2005.04.019

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Metadata

Authors
Huffman, W. E., Rousu, M., Shogren, J. F., & Tegene, A.
Venue
Journal of Economic Behavior & Organization
Publisher
Elsevier BV
Published
2007-05
Volume
63
Issue
1
Pages
193-206
ISSN
0167-2681 (ISSN-L)
OpenAlex
W2044149787
Cited by
177
References
6
FWCI
11.62
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The effects of prior beliefs and learning on consumers’ acceptance of genetically modified foods. https://app.cochat.ai/papers/10.1016/j.jebo.2005.04.019
The paper
Huffman, W. E., Rousu, M., Shogren, J. F., & Tegene, A. (2007). The effects of prior beliefs and learning on consumers’ acceptance of genetically modified foods. Journal of Economic Behavior & Organization. https://doi.org/10.1016/j.jebo.2005.04.019

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.