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Meta-analyses of the determinants and outcomes of belief in climate change

doi: 10.1038/nclimate2943
Recent growth in the number of studies examining belief in climate change is a positive development, but presents an ironic challenge in that it can be difficult for academics, practitioners and policy makers to keep pace. As a response to this challenge, we report on a meta-analysis of the correlates of belief in climate change. Twenty-seven variables were examined by synthesizing 25 polls and 171 academic studies across 56 nations. Two broad conclusions emerged. First, many intuitively appealing variables (such as education, sex, subjective knowledge, and experience of extreme weather events) were overshadowed in predictive power by values, ideologies, worldviews and political orientation. Second, climate change beliefs have only a small to moderate effect on the extent to which people are willing to act in climate-friendly ways. Implications for converting sceptics to the climate change cause - and for converting believers'intentions into action - are discussed.
- University of Queensland Australia
- Queensland University of Technology Australia
- University of Queensland Australia
- University of Queensland Australia
330, 3301 Social Sciences (miscellaneous), 150, Belief in climate change, 2301 Environmental Science (miscellaneous), 333, Meta-analysis, Climate change
330, 3301 Social Sciences (miscellaneous), 150, Belief in climate change, 2301 Environmental Science (miscellaneous), 333, Meta-analysis, Climate change
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).997 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.01% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
