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Climate scientists note that the effects of climate change vary regionally. Citizen willingness to absorb the costs of adaptation and mitigation policies may correspond with these place-specific effects. Geographic information systems (GIS) analytic techniques are used to map and measure survey respondents' climate change risk at various levels of spatial resolution and precision. Spatial data are used to analyze multiple measures of climate change vulnerability along with demographic, attitudinal, and perception-based variables derived from a representative national survey of U.S. residents to predict variation in support for interventionist climate change policies. Ordinary Least Squares (OLS) regression results show that objective risk measures explain a modest amount of variation in our dependent variable. The effect of risk perception on climate policy support is far more robust. Of all variables examined, the extent to which citizens regard climate change as threatening to their material well-being drives support for costly climate change policies.
Zahran et al. (Mon,) studied this question.