Literature DB >> 22340258

Toxics, Toyotas, and terrorism: the behavioral economics of fear and stigma.

William Schulze1, Brian Wansink.   

Abstract

Economists have traditionally viewed the behavioral response to risk as continuous and proportional. In contrast, psychologists have often contended that people have little control over their response to risk that is dichotomous, nonproportional, visceral, and fear based. In extreme cases, this automatic response results in the stigmatization of a product, technology, or choice, which seemingly cannot be eliminated or reduced. In resolving these contrasting perspectives, we review four recent studies that blend behavioral economics and psychology. Together, they provide evidence for a dual-process decision model for risk that incorporates both reason and fear. They show consumers' responses to perceived risk as a mix of proportional and dichotomous (safe/unsafe) responses that are relatively more continuous in situations where deliberation is possible, and more dichotomous in emotional or stressful circumstances. These findings reconcile mixed results in past studies, and, more importantly, the dual-process model allows a clear definition of stigma, and suggests new ways to mitigate stigma and to help manage potentially damaging overreactions to it.
© 2012 Society for Risk Analysis.

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Year:  2012        PMID: 22340258     DOI: 10.1111/j.1539-6924.2011.01748.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  4 in total

1.  A formal model of fuzzy-trace theory: Variations on framing effects and the Allais paradox.

Authors:  David A Broniatowski; Valerie F Reyna
Journal:  Decision (Wash D C )       Date:  2017-05-29

2.  A combined behavioural economics- and simulation-based medical education to promote effectiveness among medical residents in coping with workplace violence in Northern China: a quasi-experimental study.

Authors:  Chao Liu; Weijing Liu; Mingli Jiao; Ye Li; Gangyu Zhang; Lifeng Wei; Shuang Zhou; Yuanheng Li; Zhuowa Sha; Yanhua Hao; Qunhong Wu
Journal:  BMC Public Health       Date:  2022-06-01       Impact factor: 4.135

Review 3.  What risk assessments of genetically modified organisms can learn from institutional analyses of public health risks.

Authors:  S Ravi Rajan; Deborah K Letourneau
Journal:  J Biomed Biotechnol       Date:  2012-11-04

4.  Do Long-Run Disasters Promote Human Capital in China? -The Impact of 500 Years of Natural Disasters on County-Level Human-Capital Accumulation.

Authors:  Zhidi Zhang; Jianqing Ruan
Journal:  Int J Environ Res Public Health       Date:  2020-10-12       Impact factor: 3.390

  4 in total

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