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The Politics of Intersecting Crises: The Effect of the COVID-19 Pandemic on Climate Policy Preferences

Published online by Cambridge University Press:  08 July 2022

Parrish Bergquist*
Affiliation:
McCourt School of Public Policy, Georgetown University, Washington, DC, USA
Gabriel De Roche
Affiliation:
Department of Political Science, University of California San Diego, San Diego, CA, USA
Erick Lachapelle
Affiliation:
Department of Political Science, Université de Montréal, Montreal, QC, Canada
Matto Mildenberger
Affiliation:
Department of Political Science, University of California Santa Barbara, Santa Barbara, CA, USA
Kathryn Harrison
Affiliation:
Department of Political Science, University of British Columbia, Vancouver, BC, Canada
*
*Corresponding author. Email: parrish.bergquist@georgetown.edu
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Abstract

Few contemporary crises have reshaped public policy as dramatically as the COVID-19 pandemic. In its shadow, policymakers have debated whether other pressing crises—including climate change—should be integrated into COVID-19 policy responses. Public support for such an approach is unclear: the COVID-19 crisis might eclipse public concern for other policy problems, or complementarities between COVID-19 and other issues could boost support for broad government interventions. In this research note, we use a conjoint experiment, panel study, and framing experiment to assess the substitutability or complementarity of COVID-19 and climate change among US and Canadian publics. We find no evidence that the COVID-19 crisis crowds out public concern about the climate crisis. Instead, we find that the publics in both countries prefer that their governments integrate climate action into COVID-19 responses. We also find evidence that analogizing climate change with COVID-19 may increase concern about climate change.

Information

Type
Letter
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press
Figure 0

Fig. 1.Policy attributes included in our conjoint experiment.Note: The figure shows the policy dimensions included in our conjoint experiment and was presented to respondents in the explanation preceding the comparison task.

Figure 1

Fig. 2.How social, economic, and climate programs shape support for bundled COVID-19 response packages in Canada and the United States.Notes: The figure shows average effects of each policy element on support for the COVID-19 policy bundle in the United States (left panel) and Canada (right panel). Point estimates are AMCEs: the change in probability of selecting a COVID-19 package, ceteris paribus, if the package includes each element. AMCEs are estimated using the R package cjoint (Hainmueller, Hopkins, and Yamamoto 2014a; Hainmueller, Hopkins, and Yamamoto 2014b). Standard errors are clustered at the respondent level. Bars reflect 95 per cent confidence intervals. Hash marks show 83 per cent confidence intervals to aid visual inspection of significant differences in effect sizes (Bolsen and Thornton 2014; Payton, Greenstone, and Schenker 2003). Each element is compared against a base category for each policy dimension, denoted by a dot on the 0 intercept.

Figure 2

Table 1.Results of two-way fixed-effects models, showing no statistically significant effect of COVID-19 prevalence at the local level on the importance Canadians assign to climate change (Column 1) and support for carbon pricing (column2)

Figure 3

Fig. 3.Mini meta-analysis of four survey experiments framing climate change as analogous to COVID-19.Notes: The figure shows the results of a mini meta-analysis, presenting standardized mean differences between groups that read a vignette analogizing the “exponential growth” of COVID-19 to that of climate change. The experiment was conducted four times in two countries: the United States (May 2020 and February 2021) and Canada (May 2020 and June 2021). The dependent variable is worry about climate change, measured on a four-point scale. The meta-analysis was conducted using a random-effects model.

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