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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
engineering
When precaution creates misunderstandings: The unintended effects of precautionary information on perceived risks, the EMF case
Risk Analysis, Volume 33, No. 10, Year 2013
Notification
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Description
In the past decade, growing public concern about novel technologies with uncertain potential long-term impacts on the environment and human health has moved risk policies toward a more precautionary approach. Focusing on mobile telephony, the effects of precautionary information on risk perception were analyzed. A pooled multinational experimental study based on a 5 × 2 × 2 factorial design was conducted in nine countries. The first factor refers to whether or not information on different types of precautionary measures was present, the second factor to the framing of the precautionary information, and the third factor to the order in which cell phones and base stations were rated by the study participants. The data analysis on the country level indicates different effects. The main hypothesis that informing about precautionary measures results in increased risk perceptions found only partial support in the data. The effects are weaker, both in terms of the effect size and the frequency of significant effects, across the various precautionary information formats used in the experiment. Nevertheless, our findings do not support the assumption that informing people about implemented precautionary measures will decrease public concerns. © 2013 Society for Risk Analysis.
Authors & Co-Authors
Wiedemann, Peter Michael
Germany, Karlsruhe
Karlsruher Institut Für Technologie
Schuetz, Holger
Germany, Julich
Forschungszentrum Jülich Gmbh
Boerner, Franziska U.
Canada, Edmonton
University of Alberta
Clauberg, Martin
United States, Knoxville
The University of Tennessee, Knoxville
Croft, Rodney J.
Australia, Wollongong
University of Wollongong
Shukla, Rajesh
India, New Delhi
National Council of Applied Economic Research
Kikkawa, Toshiko
Japan, Tokyo
Keio University
Kemp, Ray
Australia, Hawthorn
Swinburne University of Technology
Gutteling, Jan Martien
Netherlands, Enschede
Universiteit Twente
de Villiers, Barney
South Africa, Cape Town
Stellenbosch University, Faculty of Medicine and Health Sciences
da Silva Medeiros, Flavia N.
Brazil, Niteroi
Logos Consultoria
Barnett, J. C.
United Kingdom, Uxbridge
Brunel University London
Statistics
Citations: 31
Authors: 12
Affiliations: 12
Identifiers
Doi:
10.1111/risa.12034
ISSN:
02724332
e-ISSN:
15396924
Study Approach
Quantitative