Trust, Perceived Benefit and Risk, and Acceptance of Genetically Modified Food - An Application of Structural Equation Modeling
Date Issued
2012
Date
2012
Author(s)
Cheng, Sih-Ting
Abstract
Genetically modified food (GMF) is the trend of global supplies of foods in the future. This study analyzed consumer acceptance toward GMF by using mediation model. We investigated the direct effects of attitude, knowledge, government trust, pharmaceutical factories trust, medical professionals trust, and academic researches trust on the acceptance of GMF, and the indirect effects those were mediated by perceived benefit and perceived risk.
Data was collected by the investigative program of public attitude on GM in Taiwan and got a quota sample of 1503 Taiwan citizens. The postulated model was tested using two-stage structure equation modeling procedures. Confirmatory factor analysis was performed to establish the factor structures between indicators and latent variables, and then used SEM Path analyses to find the well-fitting model and the effects between latent variables.
Results indicated that government trust and knowledge played the most important role in shaping perceived benefit, perceived risk, and the acceptance of GMF. Their influences on the acceptance of GMF were mainly from the direct effect, and the indirect effects were mainly mediated by perceived risk. Medical professionals trust had negative direct effect on the acceptance of GMF, but the total effect on the acceptance of GMF was insignificant. Attitude had no influence on the acceptance of GMF, but was significantly linked with perceived benefit and perceived risk. Pharmaceutical factories trust and academic researches trust had no influence on perceived benefit, perceived risk, and the acceptance of GMF. Moreover, perceived risk exerted a greater effect on the acceptance of GMF than perceived benefit.
Subjects
technology attitude
technology knowledge
mediation model
direct and indirect effect
confirmatory factor analysis
SDGs
Type
thesis
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