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The Effects of Epistemic Trust and Social Trust on Public Acceptance of Genetically Modified Food: An Empirical Study from China

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  • Longji Hu

    (School of Public Administration, Central China Normal University, Wuhan 430079, China)

  • Rongjin Liu

    (School of Public Administration, Central China Normal University, Wuhan 430079, China)

  • Wei Zhang

    (School of Public Administration, Central China Normal University, Wuhan 430079, China)

  • Tian Zhang

    (School of Public Administration, Central China Normal University, Wuhan 430079, China)

Abstract

Most studies exploring the public acceptance of genetically modified food (GMF) are based on social trust and the establishment of a causal model. The underlying premise is that social trust indirectly affects public acceptance of GMF through perceived risks and perceived benefits. The object of social trust is trust in people, organizations, and institutions. Different from the social trust, epistemic trust refers to people’s trust in scientific knowledge behind the technology of concern. It has been shown that epistemic trust, like social trust, is also an important factor that affects the public perception of applicable risks and benefits. Therefore, it is necessary to incorporate epistemic trust into the causal model to derive a more complete explanation of public acceptance. However, such work has not been conducted to date. The causal model proposed in this paper integrated epistemic trust and social trust and divided social trust into trust in public organizations and trust in industrial organizations. A representative questionnaire survey (N = 1091) was conducted with Chinese adults. The model was analyzed by the partial least squares structural equation modeling (PLS-SEM) method. Three major findings were obtained: First, epistemic trust is an important antecedent of perceived risks and perceived benefits and exerts a significant indirect effect on the acceptance of GMF. Secondly, trust in industrial organizations negatively impacts perceived risks, while trust in public organizations positively impacts perceived benefits. Thirdly, contrary to the common opinion, trust in industrial organizations did not exert a significant direct effect on perceived benefits, and trust in public organizations did not demonstrate a significant direct effect on perceived risks. Therefore, trust in industrial organizations and trust in public organizations utilize different influence paths on GMF acceptance. This study enriches the understanding of the influence path of trust with regard to the acceptance of emerging technologies and is of great significance to relevant risk-management practices.

Suggested Citation

  • Longji Hu & Rongjin Liu & Wei Zhang & Tian Zhang, 2020. "The Effects of Epistemic Trust and Social Trust on Public Acceptance of Genetically Modified Food: An Empirical Study from China," IJERPH, MDPI, vol. 17(20), pages 1-20, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:20:p:7700-:d:432672
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    as
    1. Ortwin Renn & Christina Benighaus, 2013. "Perception of technological risk: insights from research and lessons for risk communication and management," Journal of Risk Research, Taylor & Francis Journals, vol. 16(3-4), pages 293-313, April.
    2. 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.
    3. Richard H. Thaler & Amos Tversky & Daniel Kahneman & Alan Schwartz, 1997. "The Effect of Myopia and Loss Aversion on Risk Taking: An Experimental Test," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 647-661.
    4. Lynn J. Frewer & Joachim Scholderer & Lone Bredahl, 2003. "Communicating about the Risks and Benefits of Genetically Modified Foods: The Mediating Role of Trust," Risk Analysis, John Wiley & Sons, vol. 23(6), pages 1117-1133, December.
    5. Wenjing Zhang & Jianhong Xue & Henk Folmer & Khadim Hussain, 2019. "Perceived Risk of Genetically Modified Foods Among Residents in Xi’an, China: A Structural Equation Modeling Approach," IJERPH, MDPI, vol. 16(4), pages 1-12, February.
    6. Yasunobu Maeda & Makota Miyahara, 2003. "Determinants of Trust in Industry, Government, and Citizen's Groups in Japan," Risk Analysis, John Wiley & Sons, vol. 23(2), pages 303-310, April.
    7. Bart W. Terwel & Fieke Harinck & Naomi Ellemers & Dancker D. L. Daamen, 2009. "Competence‐Based and Integrity‐Based Trust as Predictors of Acceptance of Carbon Dioxide Capture and Storage (CCS)," Risk Analysis, John Wiley & Sons, vol. 29(8), pages 1129-1140, August.
    8. Michael Siegrist, 2000. "The Influence of Trust and Perceptions of Risks and Benefits on the Acceptance of Gene Technology," Risk Analysis, John Wiley & Sons, vol. 20(2), pages 195-204, April.
    9. Jayson L. Lusk & Jutta Roosen & John A. Fox, 2003. "Demand for Beef from Cattle Administered Growth Hormones or Fed Genetically Modified Corn: A Comparison of Consumers in France, Germany, the United Kingdom, and the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 16-29.
    10. Mei‐Fang Chen, 2008. "Consumer Trust in Food Safety—A Multidisciplinary Approach and Empirical Evidence from Taiwan," Risk Analysis, John Wiley & Sons, vol. 28(6), pages 1553-1569, December.
    11. Lennart Sjöberg & Elisabeth Engelberg, 2010. "Risk Perception and Movies: A Study of Availability as a Factor in Risk Perception," Risk Analysis, John Wiley & Sons, vol. 30(1), pages 95-106, January.
    12. Lennart Sjoberg & Misse Wester Herber, 2008. "Too much trust in (social) trust? The importance of epistemic concerns and perceived antagonism," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 8(1/2), pages 30-44.
    13. Jayson L. Lusk & Keith H. Coble, 2005. "Risk Perceptions, Risk Preference, and Acceptance of Risky Food," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 393-405.
    14. Miguel Ángel López-Navarro & Jaume Llorens-Monzonís & Vicente Tortosa-Edo, 2013. "The Effect of Social Trust on Citizens’ Health Risk Perception in the Context of a Petrochemical Industrial Complex," IJERPH, MDPI, vol. 10(1), pages 1-18, January.
    15. Michael Siegrist & Carmen Keller, 2011. "Labeling of Nanotechnology Consumer Products Can Influence Risk and Benefit Perceptions," Risk Analysis, John Wiley & Sons, vol. 31(11), pages 1762-1769, November.
    16. Dowling, Grahame R & Staelin, Richard, 1994. "A Model of Perceived Risk and Intended Risk-Handling Activity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 119-134, June.
    17. Animashaun, Jubril O., 2019. "Consumers’ evaluation of genetically modified (GM) Food: A meta- review and implications for policy regulation in Africa," 2019 Sixth International Conference, September 23-26, 2019, Abuja, Nigeria 295906, African Association of Agricultural Economists (AAAE).
    18. John T. Lang & William K. Hallman, 2005. "Who Does the Public Trust? The Case of Genetically Modified Food in the United States," Risk Analysis, John Wiley & Sons, vol. 25(5), pages 1241-1252, October.
    19. Lennart Sjöberg, 2001. "Limits of Knowledge and the Limited Importance of Trust," Risk Analysis, John Wiley & Sons, vol. 21(1), pages 189-198, February.
    20. Richard G. Peters & Vincent T. Covello & David B. McCallum, 1997. "The Determinants of Trust and Credibility in Environmental Risk Communication: An Empirical Study," Risk Analysis, John Wiley & Sons, vol. 17(1), pages 43-54, February.
    21. Reece A. Clothier & Dominique A. Greer & Duncan G. Greer & Amisha M. Mehta, 2015. "Risk Perception and the Public Acceptance of Drones," Risk Analysis, John Wiley & Sons, vol. 35(6), pages 1167-1183, June.
    22. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    23. 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.
    24. Jiyoun Kim & Sara K. Yeo & Dominique Brossard & Dietram A. Scheufele & Michael A. Xenos, 2014. "Disentangling the Influence of Value Predispositions and Risk/Benefit Perceptions on Support for Nanotechnology Among the American Public," Risk Analysis, John Wiley & Sons, vol. 34(5), pages 965-980, May.
    25. Ali Siddiq Alhakami & Paul Slovic, 1994. "A Psychological Study of the Inverse Relationship Between Perceived Risk and Perceived Benefit," Risk Analysis, John Wiley & Sons, vol. 14(6), pages 1085-1096, December.
    26. Kamarulzaman, Nur Aizat & Lee, Khai Ern & Siow, Kim Shyong & Mokhtar, Mazlin, 2020. "Public benefit and risk perceptions of nanotechnology development: Psychological and sociological aspects," Technology in Society, Elsevier, vol. 62(C).
    Full references (including those not matched with items on IDEAS)

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