2015
DOI: 10.1080/13669877.2015.1043567
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Predictors of the perceived risk of climate change and preferred resource levels for climate change management programs

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Cited by 35 publications
(43 citation statements)
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References 33 publications
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“…For instance, Mumpower et al () found that level of perceived risk is a significant positive predictor of expressed willingness‐to‐pay for risk management programs for terrorist threats. Similar results have been found in a study on climate change risk perception and climate policy support (Mumpower et al, ). Based on these studies, we expect and hypothesize a positive relationship between citizens’ perceptions of terrorism risk and their support for government counterterrorism spending (Hypothesis 2A).…”
Section: Research Expectations and Hypothesessupporting
confidence: 90%
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“…For instance, Mumpower et al () found that level of perceived risk is a significant positive predictor of expressed willingness‐to‐pay for risk management programs for terrorist threats. Similar results have been found in a study on climate change risk perception and climate policy support (Mumpower et al, ). Based on these studies, we expect and hypothesize a positive relationship between citizens’ perceptions of terrorism risk and their support for government counterterrorism spending (Hypothesis 2A).…”
Section: Research Expectations and Hypothesessupporting
confidence: 90%
“…Mumpower et al () reported that three key psychometric variables—perceived severity of the potential consequences of a terrorist attack, perceived number of persons affected, and perceived likelihood of an attack—were significant positive predictors for various types of perceived risk of terrorist threats. In another recent study of public perception of climate change risk, Mumpower et al () confirmed that perceived risk levels were consistently driven by these three psychometric variables . Both studies showed that psychometric variables accounted for more variance in citizens’ risk perceptions than did social‐economic‐political variables (Mumpower et al, , ).…”
Section: Research Expectations and Hypothesesmentioning
confidence: 90%
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“…Conceptually there are two layers in issue-specific knowledge: subjectively perceived knowledge-what they believe they know (Kellstedt, Zahran, & Vedlitz, 2008;Malka, Krosnick, & Langer, 2009)-and objectively assessed knowledgewhat they actually know (Bord, O'Connor, & Fisher, 2000;Mumpower, Liu, & Vedlitz, 2015;. Conceptually there are two layers in issue-specific knowledge: subjectively perceived knowledge-what they believe they know (Kellstedt, Zahran, & Vedlitz, 2008;Malka, Krosnick, & Langer, 2009)-and objectively assessed knowledgewhat they actually know (Bord, O'Connor, & Fisher, 2000;Mumpower, Liu, & Vedlitz, 2015;.…”
Section: Examining the Relationship Between Job Relevance/experiencmentioning
confidence: 99%
“…We use the variables analyzed in the previous section as control variables, as they are often found to be associated with individual climate policy preferences (Mumpower et al, 2015;Stoutenborough, Bromley-Trujillo, & Vedlitz, 2014), with the exception of Job Relevance/Experience. We use the variables analyzed in the previous section as control variables, as they are often found to be associated with individual climate policy preferences (Mumpower et al, 2015;Stoutenborough, Bromley-Trujillo, & Vedlitz, 2014), with the exception of Job Relevance/Experience.…”
Section: Examining the Relationship Between Overconfidence On Policmentioning
confidence: 99%