Applying the Risk Information Seeking and Processing Model to Examine Support for Climate Change Mitigation Policy

Abstract

This study applies the risk information seeking and processing (RISP) model to examine how information processing influences individuals’ support for climate change mitigation policy. Perceived issue salience, attitude toward climate information, and systematic processing are positively related to policy support, whereas heuristic processing is not a significant predictor. The direct and indirect relationships illustrated in the model help expand the utility of the risk information seeking and processing model to address policy support. From an applied perspective, this study suggests important pathways to encourage systematic processing of information related to climate change, which may lead to increased public support for mitigation policies.