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Trust, Confidence, Procedural Fairness, Outcome Fairness, Moral Conviction, and the Acceptance of GM Field Experiments

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  • Michael Siegrist
  • Melanie Connor
  • Carmen Keller

Abstract

In 2005, Swiss citizens endorsed a moratorium on gene technology, resulting in the prohibition of the commercial cultivation of genetically modified crops and the growth of genetically modified animals until 2013. However, scientific research was not affected by this moratorium, and in 2008, GMO field experiments were conducted that allowed us to examine the factors that influence their acceptance by the public. In this study, trust and confidence items were analyzed using principal component analysis. The analysis revealed the following three factors: “economy/health and environment” (value similarity based trust), “trust and honesty of industry and scientists” (value similarity based trust), and “competence” (confidence). The results of a regression analysis showed that all the three factors significantly influenced the acceptance of GM field experiments. Furthermore, risk communication scholars have suggested that fairness also plays an important role in the acceptance of environmental hazards. We, therefore, included measures for outcome fairness and procedural fairness in our model. However, the impact of fairness may be moderated by moral conviction. That is, fairness may be significant for people for whom GMO is not an important issue, but not for people for whom GMO is an important issue. The regression analysis showed that, in addition to the trust and confidence factors, moral conviction, outcome fairness, and procedural fairness were significant predictors. The results suggest that the influence of procedural fairness is even stronger for persons having high moral convictions compared with persons having low moral convictions.

Suggested Citation

  • 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.
  • Handle: RePEc:wly:riskan:v:32:y:2012:i:8:p:1394-1403
    DOI: 10.1111/j.1539-6924.2011.01739.x
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    References listed on IDEAS

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    Cited by:

    1. Goddard, Ellen & Muringai, Violet, 2017. "Trust, Fairness and Acceptance of Food Technologies," Project Report Series 264423, University of Alberta, Department of Resource Economics and Environmental Sociology.
    2. P. Marijn Poortvliet & Anne Marike Lokhorst, 2016. "The Key Role of Experiential Uncertainty when Dealing with Risks: Its Relationships with Demand for Regulation and Institutional Trust," Risk Analysis, John Wiley & Sons, vol. 36(8), pages 1615-1629, August.
    3. Liuyang Yao & Qian Zhang & Kin Keung Lai & Xianyu Cao, 2020. "Explaining Local Residents’ Attitudes toward Shale Gas Exploitation: The Mediating Roles of Risk and Benefit Perceptions," IJERPH, MDPI, vol. 17(19), pages 1-13, October.
    4. Karen Lewis DeLong & Carola Grebitus, 2018. "Genetically modified labeling: The role of consumers’ trust and personality," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 266-282, March.
    5. Rita Saleh & Angela Bearth & Michael Siegrist, 2019. "“Chemophobia” Today: Consumers’ Knowledge and Perceptions of Chemicals," Risk Analysis, John Wiley & Sons, vol. 39(12), pages 2668-2682, December.
    6. Robert L. Heath & Jaesub Lee, 2016. "Chemical Manufacturing and Refining Industry Legitimacy: Reflective Management, Trust, Precrisis Communication to Achieve Community Efficacy," Risk Analysis, John Wiley & Sons, vol. 36(6), pages 1108-1124, June.
    7. Asah, Stanley T. & Baral, Nabin, 2018. "Technicalizing non-technical participatory social impact assessment of prospective cellulosic biorefineries: Psychometric quantification and implications," Applied Energy, Elsevier, vol. 232(C), pages 462-472.
    8. Thomas Webler & Seth Tuler, 2021. "Four Decades of Public Participation in Risk Decision Making," Risk Analysis, John Wiley & Sons, vol. 41(3), pages 503-518, March.
    9. Ho, Shirley S. & Oshita, Tsuyoshi & Looi, Jiemin & Leong, Alisius D. & Chuah, Agnes S.F., 2019. "Exploring public perceptions of benefits and risks, trust, and acceptance of nuclear energy in Thailand and Vietnam: A qualitative approach," Energy Policy, Elsevier, vol. 127(C), pages 259-268.
    10. Brock Bastian & Airong Zhang & Kieren Moffat, 2015. "The Interaction of Economic Rewards and Moral Convictions in Predicting Attitudes toward Resource Use," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-9, August.
    11. Muringai, Violet & Goddard, Ellen W., "undated". "Trust, Fairness and Consumer Acceptance of the Use of Genomics for Feed Efficiency in Cattle," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 261226, Agricultural and Applied Economics Association.
    12. Saenz, Cesar, 2023. "The social management canvas for the mining industry: A Peruvian case study," Resources Policy, Elsevier, vol. 85(PB).
    13. Liu, Peng & Xu, Zhigang & Zhao, Xiangmo, 2019. "Road tests of self-driving vehicles: Affective and cognitive pathways in acceptance formation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 354-369.
    14. Michael Siegrist, 2021. "Trust and Risk Perception: A Critical Review of the Literature," Risk Analysis, John Wiley & Sons, vol. 41(3), pages 480-490, March.
    15. J. Richard Eiser & Amy Donovan & R. Stephen J. Sparks, 2015. "Risk Perceptions and Trust Following the 2010 and 2011 Icelandic Volcanic Ash Crises," Risk Analysis, John Wiley & Sons, vol. 35(2), pages 332-343, February.
    16. Michael Siegrist & Philipp Hübner & Christina Hartmann, 2018. "Risk Prioritization in the Food Domain Using Deliberative and Survey Methods: Differences between Experts and Laypeople," Risk Analysis, John Wiley & Sons, vol. 38(3), pages 504-524, March.

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