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Major Psychological Factors Affecting Acceptance of Gene‐Recombination Technology

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  • Yutaka Tanaka

Abstract

The purpose of this study was to verify the validity of a causal model that was made to predict the acceptance of gene‐recombination technology. A structural equation model was used as a causal model. First of all, based on preceding studies, the factors of perceived risk, perceived benefit, and trust were set up as important psychological factors determining acceptance of gene‐recombination technology in the structural equation model. An additional factor, “sense of bioethics,” which I consider to be important for acceptance of biotechnology, was added to the model. Based on previous studies, trust was set up to have an indirect influence on the acceptance of gene‐recombination technology through perceived risk and perceived benefit in the model. Participants were 231 undergraduate students in Japan who answered a questionnaire with a 5‐point bipolar scale. The results indicated that the proposed model fits the data well, and showed that acceptance of gene‐recombination technology is explained largely by four factors, that is, perceived risk, perceived benefit, trust, and sense of bioethics, whether the technology is applied to plants, animals, or human beings. However, the relative importance of the four factors was found to vary depending on whether the gene‐recombination technology was applied to plants, animals, or human beings. Specifically, the factor of sense of bioethics is the most important factor in acceptance of plant gene‐recombination technology and animal gene‐recombination technology, and the factors of trust and perceived risk are the most important factors in acceptance of human being gene‐recombination technology.

Suggested Citation

  • Yutaka Tanaka, 2004. "Major Psychological Factors Affecting Acceptance of Gene‐Recombination Technology," Risk Analysis, John Wiley & Sons, vol. 24(6), pages 1575-1583, December.
  • Handle: RePEc:wly:riskan:v:24:y:2004:i:6:p:1575-1583
    DOI: 10.1111/j.0272-4332.2004.00551.x
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
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    1. Sjöberg, Lennart, 2004. "Gene Technology in the eyes of the public and experts. Moral opinions, attitudes and risk perception," SSE/EFI Working Paper Series in Business Administration 2004:7, Stockholm School of Economics, revised 11 May 2005.
    2. Michaela Gummerum & Yaniv Hanoch & Jonathan J. Rolison, 2014. "Offenders’ Risk‐Taking Attitude Inside and Outside the Prison Walls," Risk Analysis, John Wiley & Sons, vol. 34(10), pages 1870-1881, October.
    3. Michael Siegrist & Carmen Keller & Hans Kastenholz & Silvia Frey & Arnim Wiek, 2007. "Laypeople's and Experts' Perception of Nanotechnology Hazards," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 59-69, February.
    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. 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.
    6. Yutaka Tanaka, 2013. "Attitude gaps between conventional plant breeding crops and genetically modified crops, and psychological models determining the acceptance of the two crops," Journal of Risk Research, Taylor & Francis Journals, vol. 16(1), pages 69-80, January.
    7. 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.

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