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Determinants of consumer attitudes and purchase intentions with regard to genetically modified tomatoes

Author

Listed:
  • James O. Bukenya

    (Department of Agribusiness, Alabama AAM University, P.O. Box 1042, Normal, AL 35762)

  • Natasha R. Wright

    (Department of Agribusiness, Alabama AAM University, P.O. Box 1042, Normal, AL 35762)

Abstract

Although some insights have been gained from previous studies on the acceptability of genetically modified (GM) foods, not many attempts have been made to understand consumer acceptability of genetically modified tomatoes. The purpose of this study is to understand the impact of factors such as consumer knowledge, beliefs, and attitudes on the acceptability of genetically modified tomatoes. The analysis draws on data from a consumer survey conducted at several grocery stores in Alabama in 2003. The results revealed a diversified set of preferences toward GM tomatoes. Logit results suggest that attitude toward the use of genetic modification technology in food production, opinion about labeling, and consumer perceptions about the safety of GM foods strongly influence consumers' decisions. The utility advantage of purchasing non-GM tomatoes corresponds to an average premium of $0.39 per pound, implying that consumers would be willing to purchase non-GM tomatoes at a price $0.39 higher than the price of GM tomatoes. [JEL: O140, Q160, Q180, 110]. © 2007 Wiley Periodicals, Inc. Agribusiness 23: 117-130, 2007.

Suggested Citation

  • James O. Bukenya & Natasha R. Wright, 2007. "Determinants of consumer attitudes and purchase intentions with regard to genetically modified tomatoes," Agribusiness, John Wiley & Sons, Ltd., vol. 23(1), pages 117-130.
  • Handle: RePEc:wly:agribz:v:23:y:2007:i:1:p:117-130
    DOI: 10.1002/agr.20109
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    4. Damien Rousselière & Samira Rousselière, 2010. "On the impact of trust on consumer willingness to purchase GM food:Evidence from a European survey," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 91(1), pages 5-26.
    5. Dannenberg, Astrid, 2009. "The dispersion and development of consumer preferences for genetically modified food -- A meta-analysis," Ecological Economics, Elsevier, vol. 68(8-9), pages 2182-2192, June.
    6. Sarasty, Oscar & Amin, Modhurima & Badruddoza, Syed, 2022. "Impact of the COVID-19 pandemic on agricultural commodity prices," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322240, Agricultural and Applied Economics Association.
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    8. He, Na & Bernard, John C., 2011. "Differences in WTP and Consumer Demand for Organic and Non-GM Fresh and Processed Foods," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(2), pages 1-15, August.
    9. Youzhu Li & Xianghui Gao & Mingying Du & Rui He & Shanshan Yang & Jason Xiong, 2020. "What Causes Different Sentiment Classification on Social Network Services? Evidence from Weibo with Genetically Modified Food in China," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
    10. Joseph Seong & Simone Valle de Souza & H. Christopher Peterson, 2023. "Seeds of Industry Sustainability: Consumer Attitudes towards Indoor Agriculture Benefits versus Its Advanced Technology," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    11. Jane Kolodinsky & Sean Morris & Orest Pazuniak, 2019. "How consumers use mandatory genetic engineering (GE) labels: evidence from Vermont," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 36(1), pages 117-125, March.
    12. Fernandez-Cornejo, Jorge & Livingston, Michael J. & Mitchell, Lorraine & Wechsler, Seth, 2014. "Genetically Engineered Crops in the United States," Economic Research Report 164263, United States Department of Agriculture, Economic Research Service.

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