Document Detail

Trust in risk regulation: cause or consequence of the acceptability of GM food?
MedLine Citation:
PMID:  15787769     Owner:  NLM     Status:  MEDLINE    
Although there is ample empirical evidence that trust in risk regulation is strongly related to the perception and acceptability of risk, it is less clear what the direction of this relationship is. This article explores the nature of the relationship, using three separate data sets on perceptions of genetically modified (GM) food among the British public. The article has two discrete but closely interrelated objectives. First, it compares two models of trust. More specifically, it investigates whether trust is the cause (causal chain account) or the consequence (associationist view) of the acceptability of GM food. Second, this study explores whether the affect heuristic can be applied to a wider number of risk-relevant concepts than just perceived risk and benefit. The results suggest that, rather than a determinant, trust is an expression or indicator of the acceptability of GM food. In addition, and as predicted, "affect" accounts for a large portion of the variance between perceived risk, perceived benefit, trust in risk regulation, and acceptability. Overall, the results support the associationist view that specific risk judgments are driven by more general evaluative judgments The implications of these results for risk communication and policy are discussed.
Wouter Poortinga; Nick F Pidgeon
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Risk analysis : an official publication of the Society for Risk Analysis     Volume:  25     ISSN:  0272-4332     ISO Abbreviation:  Risk Anal.     Publication Date:  2005 Feb 
Date Detail:
Created Date:  2005-03-24     Completed Date:  2005-06-07     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8109978     Medline TA:  Risk Anal     Country:  United States    
Other Details:
Languages:  eng     Pagination:  199-209     Citation Subset:  IM    
Centre for Environmental Risk, University of East Anglia, Norwich NR4 7TJ, UK.
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MeSH Terms
Crops, Agricultural*
Food, Genetically Modified*
Genetic Engineering
Great Britain
Middle Aged
Models, Theoretical
Plants, Genetically Modified*
Public Opinion
Risk Assessment / methods*
Risk Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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