Global Warming: Constructing Measures of Policy Support and Behavioral Intentions

2008 ◽  
Author(s):  
Kenneth E. Vail ◽  
Matthew S. Motyl
Risk Analysis ◽  
2013 ◽  
Vol 34 (5) ◽  
pp. 937-948 ◽  
Author(s):  
Nicholas Smith ◽  
Anthony Leiserowitz

2020 ◽  
Author(s):  
Lukas Wallrich ◽  
Keon West ◽  
Adam Rutland

Valuing diversity and intergroup contact predict less prejudice and discrimination, yet their relationship deserves closer attention. The evidence suggests that valuing diversity and (interest in) intergroup contact are associated, but the directionality is not clear, and it has not been tested whether the established effects of contact come about through changes in valuing diversity. We address this in three studies. In Study 1 (N = 211), using longitudinal survey data, both positive and negative contact affected the value placed on diversity over time, while valuing diversity did not significantly predict the frequency of future contact. Studies 2 (N = 224) and 3 (N = 2,618) consequently considered valuing diversity as a mediator and showed that it mediates the relationships of intergroup contact with prejudice, behavioral intentions, and policy support. Our results increase the understanding of pathways from intergroup contact to intergroup relations and offer a lever that contact interventions can target.


2000 ◽  
Vol 9 (3) ◽  
pp. 205-218 ◽  
Author(s):  
Richard J. Bord ◽  
Robert E. O'Connor ◽  
Ann Fisher

In a survey of 1,218 Americans, the key determinant of behavioral intentions to address global warming is a correct understanding of the causes of global warming. Knowing what causes climate change, and what does not, is the most powerful predictor of both stated intentions to take voluntary actions and to vote on hypothetical referenda to enact new government policies to reduce greenhouse gas emissions. Identifying bogus causes (e.g., insecticides) correlates with the belief that the globe will warm, but is only weakly related to voluntary actions and not at all related to support for government policies. General pro-environmental beliefs and perceptions that global warming poses serious threats to society also help to explain behavioral intentions. The explanatory power of an air pollution framework is substantial in bivariate analyses, but has little explanatory power in multivariate analyses that include knowledge, risk perceptions, and general environmental beliefs. Translating public concern for global warming into effective action requires real knowledge. General environmental concern or concern for the negative effects of air pollution appear not to motivate people to support programs designed to control global warming.


2020 ◽  
pp. 1-23
Author(s):  
MATTHEW H. GOLDBERG ◽  
ABEL GUSTAFSON ◽  
MATTHEW T. BALLEW ◽  
SETH A. ROSENTHAL ◽  
ANTHONY LEISEROWITZ

Abstract Reducing global warming will require enacting strong climate policies, which is unlikely to happen without public support. While prior research has identified varied predictors of climate change policy support, it is unclear which predictors are strongest for the American electorate as a whole, and which predictors are strongest for Democrats and Republicans. In a nationally representative sample of registered voters (n = 2063), we use relative weight analysis to identify the strongest predictors of public climate policy support. We find that, among registered voters in the USA, the five most important predictors of climate policy support are: worry about global warming; risk perceptions; certainty that global warming is happening; belief that global warming is human-caused; and general affect toward global warming. Collectively, these five variables account for 51% of the variance in policy support. Results split by political party indicate that pro-climate injunctive norms and global warming risk perceptions are the variables that differ most between Republicans and Democrats, accounting for significantly more variance in policy support among Republicans. These findings can inform policymakers and advocates seeking to build public support for climate action.


2019 ◽  
Vol 3 (2) ◽  
pp. 221-231 ◽  
Author(s):  
Rebecca Millington ◽  
Peter M. Cox ◽  
Jonathan R. Moore ◽  
Gabriel Yvon-Durocher

Abstract We are in a period of relatively rapid climate change. This poses challenges for individual species and threatens the ecosystem services that humanity relies upon. Temperature is a key stressor. In a warming climate, individual organisms may be able to shift their thermal optima through phenotypic plasticity. However, such plasticity is unlikely to be sufficient over the coming centuries. Resilience to warming will also depend on how fast the distribution of traits that define a species can adapt through other methods, in particular through redistribution of the abundance of variants within the population and through genetic evolution. In this paper, we use a simple theoretical ‘trait diffusion’ model to explore how the resilience of a given species to climate change depends on the initial trait diversity (biodiversity), the trait diffusion rate (mutation rate), and the lifetime of the organism. We estimate theoretical dangerous rates of continuous global warming that would exceed the ability of a species to adapt through trait diffusion, and therefore lead to a collapse in the overall productivity of the species. As the rate of adaptation through intraspecies competition and genetic evolution decreases with species lifetime, we find critical rates of change that also depend fundamentally on lifetime. Dangerous rates of warming vary from 1°C per lifetime (at low trait diffusion rate) to 8°C per lifetime (at high trait diffusion rate). We conclude that rapid climate change is liable to favour short-lived organisms (e.g. microbes) rather than longer-lived organisms (e.g. trees).


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