Influences of individual-level characteristics on risk perceptions to various categories of environmental health and safety risks

Abstract

Over the last five decades, social science researchers have examined how the public perceives the risks associated with a variety of environmental health and safety (EHS) hazards. The body of literature that has been emerged diverse both in the methodology employed to collect and analyze data and in the subject of study. The findings have confirmed that risk perceptions vary between groups of individuals as well as between categories of EHS risks. However, the extant literature on EHS risk perceptions has failed to provide empirical insights into how risk perceptions can be best explained according to the interplay of both (1) the category of EHS hazard appraised and (2) the prominent individual-level characteristics that best explain observed risk perception differences. This study addresses this deficiency in the literature by providing insights into the individual and cumulative roles that various individual-level variables play in characterizing risk perceptions to various categories of EHS risks including ‘agentic risks’ like street drug use and cigarette smoking, ‘emerging technological risks’ like nanoparticles and cloning, and ‘manufacturing risks’ like air and chemical pollution. Our data are drawn from the 2009 Citizens, Science, and Emerging Technologies national study of United States households that investigated public perceptions of EHS risks, traditional and emerging media use, and various individual characteristics like personal demographics, socioeconomic factors, and perceptual filters. The findings show that some categories of EHS risks like those associated with emerging technologies may be more easily predicted than other categories of risks and that individual-level characteristics vary in their explanative power between risk categories even among a single sample of respondents.

Keywords:

• risk
• risk perceptions
• environmental health and safety (EHS)
• risk categories
• control banding

Acknowledgement

This work was supported by grant #0809470 from the National Science Foundation, NSF 06-595.