The Climate Culture Index tracks the state of leading indicators of behavior adoption and psycho-social states for climate-mitigating behaviors that are part of the Inflation Reduction Act (IRA). The following eight behaviors were part of this study:
We recruited 1,807 adults living in the US, quota sampled to match the US Census data in age x sex x ethnicity. The sample was additionally weighted using survey weights to be representative of the population in age x sex x ethnicity, Hispanic origin, household income, adult state and region population, and the segments of Global Warming’s Six Americas.
We over-sampled respondents from three sub-groups of the population (Black or African American people; Hispanic people; people with household income above $100,000/year) to make comparisons between psycho-social states across these sub-groups. See Table 3 for these comparisons.
For eight IRA behaviors, we measured nine indicators identified as either important enablers or leading indicators of climate action. The survey instrument can be viewed here.
Many behaviors aren’t foreign to people: more than a quarter of the population has considered adopting seven out of eight IRA behaviors
There are “winners and losers” in terms of the appeal of behaviors:
More than half of the American population believes that people should adopt the IRA behaviors. However, there is a significant variability between behaviors in normative beliefs:
Taking “Insulate home” behavior as an example, here is how to read Table 1:
Across all IRA behaviors, there is a gap between what people believe (Beliefs that others should adopt; personal normative beliefs) and what they think other people believe (Beliefs that others think people should adopt; normative expectations). Individually, Americans believe that adopting these behaviors is important, however, they under-estimate how many other people believe the same. Since normative and empirical expectations were found to be strong unique predictors of intention to engage in the IRA behaviors (Figure 3), interventions that aim to increase uptake of the behaviors should normalize climate action by making these norms more apparent.
Table 2 combines core findings from Climate Culture National Index 2021 and the Climate Culture IRA Index 2023, offering a comparison of indicators across a range of climate behaviors. The survey instrument from the 2021 Index is available here. Key study results are here and here.
We did not measure Perceived community benefit in the 2023 Index.
According to Climate Change and Social Vulnerability in the United States: A Focus on Six Impact Sectors report issued by the Environmental Protection Agency, the most severe harms from climate change fall disproportionately on racial and ethnic minority communities communities who are often least able to prepare for, and recover from, heat waves, poor air quality, flooding, and other impacts.
For example, with 2°C (3.6°F) of global warming, Black and African American people are:
With 2°C (3.6°F) of global warming, Hispanic and Latino people are:
Given this federal acknowledgment of the significant and disproportionate effect of climate change on some of America’s most socially vulnerable groups, our findings offer insights into the state of psycho-social indicators and predictors of climate action in these communities. To fully meet the goals of the Inflation Reduction Act (IRA), it will be critical to promote public engagement from all segments of the population.
Highlight findings from Table 3:
December 2022 data from Climate Change in the American Mind survey indicates that many Americans have not heard much about IRA with most registered voters (57%) saying they have heard either “a little” (24%) or “nothing at all” (33%) about it. While demographic groups least likely to say they have heard “a lot” or “some” about the IRA were Black Americans (27%) and Hispanic or Latino (38%), these same groups are among the most likely to “strongly” or “somewhat” support the IRA after reading a description about it: Black Americans (78%) and Hispanic or Latino (67%).
We over-sampled respondents from three sub-groups of the population (Black or African American people; Hispanic people; people with household income above $100,000/year) to make comparisons between indicators of behavior adoption and psycho-social states across these sub-groups.
Table 3 presents the differences in the behavior adoption indicators and psycho-social states between a particular sub-group and the national data.
Taking “Install heat pump AC” behavior as an example behavior and “Consideration” as an example indicator, here is how to read Table 3:
We asked people “How interested would you be in participating in a program which helps you [adopt behavior]?” on a 0-10 scale. The violin plot below shows the distribution of people’s responses; the red dot marks the the median program interest score for each behavior.
Based on the plot, IRA behaviors can be classified into three groups with highest median programmatic interest for a retrofit solution, insulation, and electric vehicle; and lowest programmatic interest for a heat pump for heating and cooling and a heat pump dryer.
The findings indicate a stronger programmatic interest in behaviors with potentially high-upfront costs: whole-home energy retrofits (which often include adding insulation and replacing one or more gas appliances with electric equivalences), electric vehicles, and rooftop solar. Possibly in part due to the high up-front financial costs of all three of these behaviors, we see a sizable gap between consideration and reported adoption.
Further exploratory results showed that program interest for the behaviors is moderately correlated with perceived self-efficacy to mitigate climate change and frequency of having discussions about climate change with others. In contrast, core demographic measures (for the exception of age, where older age is negatively correlated with interest) show no to weak correlation with the programmatic interest.
Correlation results indicate that there may be opportunities to “cross-sell” IRA behaviors: interest in one program is a strong predictor of interest in others.