The stability of risk and benefit perceptions: a longitudinal study assessing the perception of biotechnology

Melanie Connor and Michael Siegrist

Journal of Risk Research, 2016, vol. 19, issue 4, 461-475

Abstract: The study of public perceptions is considered to be important for making sound policy decisions, since the public decides which products will enter and sustain in the market. Stability of public perceptions is important for policy-makers; only if public attitudes and perceptions remain constant, policy-makers will be able to take them into account. The aim of the present study was to examine the stability of participants’ risk and benefit perceptions of gene technology over a period of two years. In spring, 2008 and in spring, 2010, the same sample of participants filled out an identical questionnaire. Results of structural equation modelling show that risk and benefit perceptions of gene technology applications are moderately stable ( r = .5--.7). Furthermore, results show that people distinguish between medical, plant and food applications and applications involving animals when evaluating the risk of gene technology. When evaluating the benefits, participants also take consumer-related benefits into account, such as enhancement of functional properties. Results of the present study suggest that risk research should regularly examine people’s risk perceptions in order to gain a clearer picture of the dynamics of people’s perception and preferences not only of novel technologies, but also of entrenched technologies.

Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1080/13669877.2014.988169 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:jriskr:v:19:y:2016:i:4:p:461-475

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RJRR20

DOI: 10.1080/13669877.2014.988169

Access Statistics for this article

Journal of Risk Research is currently edited by Bryan MacGregor

More articles in Journal of Risk Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().