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Intervening Effects of Knowledge, Morality, Trust, and Benefits on Support for Animal and Plant Biotechnology Applications

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  • Andrew Knight

Abstract

Data from a regional Southwest telephone survey in the United States (N= 432) were used to examine the intervening effects of knowledge, morality, trust, and benefits on support for animal and plant biotechnology applications. Results showed that perceptions of agricultural biotechnologies varied by the two applications—animals and plants. Respondents reported higher opposition to the genetic modification of animals, which is consistent with prior research. Results also indicated that morality and perceived benefits directly affected support for both animal and plant applications, but trust and knowledge only had indirect effects. Morality and perceived benefits accounted for most of the variance explained among the intervening variables. The effects of trust were mediated through perceived benefits. The effects of knowledge on support were mediated primarily through trust. The influence of sociodemographic and consumer behavior variables varied by application. Results lend support to several theoretical notions. First, the significance of perceived benefits supports that there is an inverse relationship between benefits and risks. Second, moral objections may outweigh perceived benefits for specific applications, and the genetic modification of animals is deemed to be more morally unacceptable than the genetic modification of plants. These findings demonstrate the need to understand more thoroughly the moral and ethical issues surrounding novel technologies. Third, this research supports the claim that trust is not a powerful predictor of perceptions of technological products, which is contrary to most risk perception research.

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  • Andrew Knight, 2007. "Intervening Effects of Knowledge, Morality, Trust, and Benefits on Support for Animal and Plant Biotechnology Applications," Risk Analysis, John Wiley & Sons, vol. 27(6), pages 1553-1563, December.
    • Handle: RePEc:wly:riskan:v:27:y:2007:i:6:p:1553-1563
    DOI: 10.1111/j.1539-6924.2007.00988.x
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    1. Brianne Suldovsky & William K. Hallman, 2022. "The National Bioengineered Food Disclosure Standard of 2016: Intersection of Technology and Public Understanding of Science in the United States," Societies, MDPI, vol. 12(5), pages 1-15, September.
    2. Caroline Ritter & Adam Shriver & Emilie McConnachie & Jesse Robbins & Marina A G von Keyserlingk & Daniel M Weary, 2019. "Public attitudes toward genetic modification in dairy cattle," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-15, December.
    3. Timothy C. Earle, 2010. "Trust in Risk Management: A Model‐Based Review of Empirical Research," Risk Analysis, John Wiley & Sons, vol. 30(4), pages 541-574, April.
    4. Michael Siegrist & Melanie Connor & Carmen Keller, 2012. "Trust, Confidence, Procedural Fairness, Outcome Fairness, Moral Conviction, and the Acceptance of GM Field Experiments," Risk Analysis, John Wiley & Sons, vol. 32(8), pages 1394-1403, August.
    5. George Chryssochoidis & Anna Strada & Athanasios Krystallis, 2009. "Public trust in institutions and information sources regarding risk management and communication: towards integrating extant knowledge," Journal of Risk Research, Taylor & Francis Journals, vol. 12(2), pages 137-185, March.
    6. Xiaoqin Zhu & Xiaofei Xie, 2015. "Effects of Knowledge on Attitude Formation and Change Toward Genetically Modified Foods," Risk Analysis, John Wiley & Sons, vol. 35(5), pages 790-810, May.
    7. Seoyong Kim & Sunhee Kim, 2015. "The role of value in the social acceptance of science-technology," International Review of Public Administration, Taylor & Francis Journals, vol. 20(3), pages 305-322, July.

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