| Literature DB >> 33105805 |
Haoran Chu1, Janet Yang2.
Abstract
Climate change poses severe economic and public health threats to societies around the world. However, little is known about how selectively emphasizing its impacts on different issues and in different locations influence public engagement in climate change mitigation. Utilizing an experimental survey with adult participants, this study investigates the effect of issue framing and distance framing on risk perception and policy support related to climate change. The impacts of political ideology, environmental value, and belief in climate science on message effect are also examined. Based on the results of ANOVA (Analysis of Variance) and OLS (Ordinary Least Squares) regression, we found that compared with the economy frame, the public health frame led to greater polarization in risk perception and policy support between liberals and conservatives, and these relationships were mediated by environmental value and belief in climate science. Similarly, distance framing also increased ideological polarization in risk perception and policy support.Entities:
Keywords: climate change; issue framing; motivated reasoning; psychological distance
Year: 2020 PMID: 33105805 PMCID: PMC7660099 DOI: 10.3390/ijerph17217718
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Theoretical framework of the current study with hypotheses and research questions.
Figure 2Issue framing and distance framing interact to influence risk perception and policy support. (a) Perceived risk of climate change reported by participants assigned to four experimental conditions; (b) Support for climate change mitigation policies reported by participants assigned to four experimental conditions.
Regression models predicting risk perception and policy support with message frames, ideology, and their interaction (unstandardized regression coefficients).
| Predictors | Risk Perception | Policy Support |
|---|---|---|
| Intercept | 2.79 | 4.02 |
| Issue 1 | −0.03 |
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| Distance 2 | 0.14 | 0.32 |
| Issue × Distance |
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| Ideology |
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| Ideology × Issue | 0.01 | −0.11 |
| Ideology × Distance | −0.01 | −0.03 |
| Ideology × Issue × Distance | 0.09 |
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| ANOVA | ||
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| 0.28 | 0.22 |
| Adjusted | 0.28 | 0.21 |
1 dummy-coded (0 = economy; 1 = public health); 2 dummy-coded (0 = close; 1 = far); * p < 0.05; ** p < 0.01; *** p < 0.001; significant coefficients are in bold.
Figure 3Distance framing and political ideology interacted to influence polarization.
Regression models predicting risk perception and policy support with message frames, environmental value and their interaction (unstandardized regression coefficients).
| Predictors | Risk Perception | Policy Support |
|---|---|---|
| Intercept | 5.31 | 7.29 |
| Issue 1 | 0.02 | 0.26 |
| Distance 2 | −0.19 | −0.11 |
| Issue × Distance | 0.16 | 0.04 |
| Environmental Value (EV) |
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| EV × Issue | 0.02 | 0.00 |
| EV × Distance | 0.13 | 0.13 |
| EV × Issue × Distance |
| −0.23 |
| ANOVA | ||
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| 0.37 | 0.39 |
| Adjusted | 0.36 | 0.38 |
1 dummy-coded (0 = economy; 1 = public health); 2 dummy-coded (0 = close; 1 = far); * p < 0.05; *** p < 0.001; significant coefficients are in bold.
Regression models predicting risk perception and policy support with message frames, belief in climate science and their interaction (unstandardized regression coefficients).
| Predictors | Risk Perception | Policy Support |
|---|---|---|
| Intercept | 1.38 | 2.44 |
| Issue 1 | 0.24 |
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| Distance 2 | 0.47 | 0.24 |
| Issue × Distance |
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| Belief in Climate Science (BCS) |
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| BCS × Issue | −0.02 | −0.08 |
| BCS × Distance | −0.06 | −0.01 |
| BCS × Issue × Distance |
| 0.17 |
| ANOVA | ||
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| 0.49 | 0.43 |
| Adjusted | 0.48 | 0.43 |
1 dummy-coded (0 = economy; 1 = public health); 2 dummy-coded (0 = close; 1 = far); * p < 0.05; ** p < 0.01; *** p < 0.001; significant coefficients are in bold.
Figure 4(a) Issue framing interacts with environmental value to influence risk perception; (b) Issue framing interacts with belief in climate science to influence risk perception.
Direct and indirect effects of ideology on risk perception in four experimental conditions (unstandardized regression coefficients).
| Economy—Close | Economy—Far | Public Health—Close | Public Health—Far | |||||
|---|---|---|---|---|---|---|---|---|
| Estimate 1 | 95% CI 2 | Estimate 1 | 95% CI 2 | Estimate 1 | 95% CI 2 | Estimate 1 | 95% CI 2 | |
| Ideology → Risk Perception (direct effect) | 0.03 | (−0.04, 0.09) |
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| 0.06 | (−0.003, 0.13) | 0.04 | (−0.04, 0.12) |
| Ideology → Environmental value → Risk Perception |
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| 0.04 | (−0.01, 0.09) |
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| Ideology → Science Belief → Risk Perception |
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1 Estimated direct and indirect effects with bootstrapped samples (N = 5,000); 2 95% CI = bootstrapped 95% Confidence interval; significant coefficients are in bold.
Direct and indirect effects of ideology on policy support in four experimental conditions (unstandardized regression coefficients).
| Economy—Close | Economy—Far | Public Health—Close | Public Health—Far | |||||
|---|---|---|---|---|---|---|---|---|
| Estimate 1 | 95% CI 2 | Estimate 1 | 95% CI 2 | Estimate 1 | 95% CI 2 | Estimate 1 | 95% CI 2 | |
| Ideology → Policy support (direct effect) | 0.07 | (−0.02, 0.16) |
| −0.05 | (−0.13, 0.04) | −0.05 | (−0.15, 0.06) | |
| Ideology → Environmental value → Policy Support |
| 0.06 | (−0.01, 0.13) |
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| Ideology → Science Belief → Policy Support |
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1 Estimated direct and indirect effects with bootstrapped samples (N = 5,000); 2 95% CI = bootstrapped 95% Confidence interval; significant coefficients are in bold.