Abstract
Climate change is arguably one of the greatest challenges today. Although the scientific consensus is that human activities caused climate change, a substantial part of the population downplays or denies human responsibility. In this registered report, we present causal evidence on a potential explanation for this discrepancy: motivated reasoning. We conducted a tailored survey experiment on a broadly representative sample of 4,000 US adults to provide causal evidence on how motivated cognition shapes beliefs about climate change and influences the demand for slanted information. We further explore the role of motives on environmentally harmful behaviour. Contrary to our hypotheses, we find no evidence that motivated cognition can help to explain widespread climate change denial and environmentally harmful behaviour.
protocol registration The Stage 1 protocol for this Registered Report was accepted in principle on 10 May 2023. The protocol, as accepted by the journal, can be found at https://doi.org/10.6084/m9.figshare.24523357.v1.
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Data availability
All data and materials are openly available on the Open Science Framework (OSF) website at this link: https://osf.io/etsf2/.
Code availability
All analysis code (completed in STATA) are openly available on the Open Science Framework (OSF) website at this link: https://osf.io/etsf2/.
References
IPCC Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al.) (Cambridge Univ. Press, 2021).
Powell, J. Scientists reach 100% consensus on anthropogenic global warming. Bull. Sci. Technol. Soc. 37, 183–184 (2017).
Lynas, M., Houlton, B. Z. & Perry, S. Greater than 99% consensus on human caused climate change in the peer-reviewed scientific literature. Environ. Res. Lett. 16, 114005 (2021).
Funk, C. & Hefferon, M. US Public Views on Climate and Energy (Pew Research Center, 2019); https://www.pewresearch.org/science/wp-content/uploads/sites/16/2019/11/PS.11.25.19_climate-energy-FINAL.pdf
Leiserowitz, A. et al. Climate Change in the American Mind: April 2019 (Yale Univ. and George Mason Univ., 2019).
Hornsey, M. J., Harris, E. A., Bain, P. G. & Fielding, K. S. Meta-analyses of the determinants and outcomes of belief in climate change. Nat. Clim. Change 6, 622–626 (2016).
Hornsey, M. J. & Lewandowsky, S. A toolkit for understanding and addressing climate scepticism. Nat. Hum. Behav. 6, 1454–1464 (2022).
Druckman, J. N. & McGrath, M. C. The evidence for motivated reasoning in climate change preference formation. Nat. Clim. Change 9, 111–119 (2019).
Haaland, I., Roth, C. & Wohlfart, J. Designing information provision experiments. J. Econ. Lit. 61, 3–40 (2023).
Dana, J., Weber, R. A. & Kuang, J. X. Exploiting moral wiggle room: experiments demonstrating an illusory preference for fairness. Econ. Theory 33, 67–80 (2007).
Bénabou, R. & Tirole, J. Identity, morals, and taboos: beliefs as assets. Q. J. Econ. 126, 805–855 (2011).
Grossman, Z. & der Weele, J. J. Self-image and willful ignorance in social decisions. J. Eur. Econ. Assoc. 15, 173–217 (2017).
Di Tella, R., Perez-Truglia, R., Babino, A. & Sigman, M. Conveniently upset: avoiding altruism by distorting beliefs about others’ altruism. Am. Econ. Rev. 105, 3416–3442 (2015).
Haisley, E. C. & Weber, R. A. Self-serving interpretations of ambiguity in other-regarding behavior. Games Econ. Behav. 68, 614–625 (2010).
Exley, C. L. & Kessler, J. B. Information avoidance and image concerns. Econ. J. 133, 3153–3168 (2023).
Golman, R., Hagmann, D. & Loewenstein, G. Information avoidance. J. Econ. Lit. 55, 96–135 (2017).
In denial—Facebook’s growing friendship with climate misinformation. Stop Funding Heat https://stopfundingheat.info/facebook-in-denial/ (2021).
Scheufele, D. A. & Krause, N. M. Science audiences, misinformation, and fake news. Proc. Natl Acad. Sci. USA 116, 7662–7669 (2019).
Cook, J. in Research Anthology on Environmental and Societal Impacts of Climate Change (eds Chiluwa, I. E. & Samoilenko, S. A.) 1633–1658 (Information Science Reference, IGI Global, 2022).
der Linden, S., Leiserowitz, A., Rosenthal, S. & Maibach, E. Inoculating the public against misinformation about climate change. Glob. Chall. 1, 1600008 (2017).
Bursztyn, L., Egorov, G., Haaland, I., Rao, A. & Roth, C. Justifying dissent. Q. J. Econ. 138, 1403–1451 (2023).
Hainmueller, J., Mummolo, J. & Xu, Y. How much should we trust estimates from multiplicative interaction models? Simple tools to improve empirical practice. Polit. Anal. 27, 163–192 (2019).
Blackwell, M. & Olson, M. P. Reducing model misspecification and bias in the estimation of interactions. Polit. Anal. 30, 495–514 (2022).
Beiser-McGrath, J. & Beiser-McGrath, L. F. The consequences of model misspecification for the estimation of nonlinear interaction effects. Polit. Anal. 31, 278–287 (2023).
Ballew, M. T. et al. Climate change in the American mind: data, tools, and trends. Environ. Sci. Policy Sustain. Dev. 61, 4–18 (2019).
Krosnick, J. A., Holbrook, A. L., Lowe, L. & Visser, P. S. The origins and consequences of democratic citizens’ policy agendas: a study of popular concern about global warming. Climatic Change 77, 7–43 (2006).
Ding, D., Maibach, E. W., Zhao, X., Roser-Renouf, C. & Leiserowitz, A. Support for climate policy and societal action are linked to perceptions about scientific agreement. Nat. Clim. Change 1, 462–466 (2011).
Oreskes, N. & Conway, E. M. Defeating the merchants of doubt. Nature 465, 686–687 (2010).
Chopra, F., Haaland, I. & Roth, C. Do People Value More Informative News? (CESifo, 2019).
Andre, P., Boneva, T., Chopra, F. & Falk, A. Misperceived Social Norms and Willingness to Act Against Climate Change (ECONtribute, 2022).
Kunda, Z. The case for motivated reasoning. Psychol. Bull. 108, 480–498 (1990).
Epley, N. & Gilovich, T. The mechanics of motivated reasoning. J. Econ. Perspect. 30, 133–140 (2016).
Stötzer, L. S. & Zimmermann, F. A Note on Motivated Cognition and Discriminatory Beliefs (CESifo, 2022).
Exley, C. L. Excusing selfishness in charitable giving: the role of risk. Rev. Econ. Stud. 83, 587–628 (2016).
Konow, J. Fair shares: accountability and cognitive dissonance in allocation decisions. Am. Econ. Rev. 90, 1072–1092 (2000).
Gneezy, U., Saccardo, S., Serra-Garcia, M. & van Veldhuizen, R. Bribing the self. Games Econ. Behav. 120, 311–324 (2020).
Saccardo, S. & Serra-Garcia, M. Cognitive Flexibility or Moral Commitment? Evidence of Anticipated Belief Distortion (CESifo, 2020).
Kahan, D. M., Scott, R. & Kosslyn, S. Emerging Trends in the Social and Behavioral Sciences (Wiley, 2016).
Dietz, T. Bringing values and deliberation to science communication. Proc. Natl Acad. Sci. USA 110, 14081–14087 (2013).
Mullainathan, S. & Shleifer, A. The market for news. Am. Econ. Rev. 95, 1031–1053 (2005).
Charness, G., Oprea, R. & Yuksel, S. How do people choose between biased information sources? Evidence from a laboratory experiment. J. Eur. Econ. Assoc. 19, 1656–1691 (2021).
Chopra, F., Haaland, I. & Roth, C. Do people demand fact-checked news? Evidence from US Democrats. J. Public Econ. 205, 104549 (2022).
Falk, A. & Zimmermann, F. Attention and dread: experimental evidence on preferences for information. Manage. Sci. (in the press).
Ganguly, A. & Tasoff, J. Fantasy and dread: the demand for information and the consumption utility of the future. Manage. Sci. 63, 4037–4060 (2017).
Nielsen, K. Preferences for the resolution of uncertainty and the timing of information. J. Econ. Theory 189, 105090 (2020).
Zimmermann, F. Clumped or piecewise? Evidence on preferences for information. Manage. Sci. 61, 740–753 (2015).
Bago, B., Rand, D. G. & Pennycook, G. Reasoning about climate change. PNAS Nexus 2, pgad100 (2023).
Hornsey, M. J., Harris, E. A. & Fielding, K. S. Relationships among conspiratorial beliefs, conservatism and climate scepticism across nations. Nat. Clim. Change 8, 614–620 (2018).
Palm, R., Lewis, G. B. & Feng, B. What causes people to change their opinion about climate change? Ann. Am. Assoc. Geogr. 107, 883–896 (2017).
Bolsen, T. & Druckman, J. N. Do partisanship and politicization undermine the impact of a scientific consensus message about climate change? Group Process. Intergroup Relat. 21, 389–402 (2018).
Bolsen, T., Druckman, J. N. & Cook, F. L. The influence of partisan motivated reasoning on public opinion. Polit. Behav. 36, 235–262 (2014).
Peterson, E. & Iyengar, S. Partisan gaps in political information and information-seeking behavior: motivated reasoning or cheerleading? Am. J. Polit. Sci. 65, 133–147 (2021).
Bayes, R., Druckman, J. N., Goods, A. & Molden, D. C. When and how different motives can drive motivated political reasoning. Polit. Psychol. 41, 1031–1052 (2020).
Charness, G., Gneezy, U. & Halladay, B. Experimental methods: pay one or pay all. J. Econ. Behav. Organ. 131, 141–150 (2016).
Blanco, M., Engelmann, D., Koch, A. K. & Normann, H.-T. Belief elicitation in experiments: is there a hedging problem? Exp. Econ. 13, 412–438 (2010).
Myers, K. F., Doran, P. T., Cook, J., Kotcher, J. E. & Myers, T. A. Consensus revisited: quantifying scientific agreement on climate change and climate expertise among Earth scientists 10 years later. Environ. Res. Lett. 16, 104030 (2021).
Exley, C. L. & Kessler, J. B. Motivated Errors (NBER, 2019).
Stantcheva, S. How to run surveys: a guide to creating your own identifying variation and revealing the invisible. Annu. Rev. Econ. 15, 205–234 (2023).
Heen, M., Lieberman, J. D. & Meithe, T. D. A Comparison of Different Online Sampling Approaches for Generating National Samples (Center for Crime and Justice Policy, Univ. Nevada, 2014).
Stötzer, L. & Zimmermann, F. Motivated climate change denial [registered report stage 1 protocol]. figshare https://doi.org/10.6084/m9.figshare.24523357.v1 (2023).
Acknowledgements
Funding was by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC 2126/1 - 390838866. Funding by the Deutsche Forschungsgemeinschaft (DFG) through CRC TR 224 (Project A01) is gratefully acknowledged.
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All authors contributed to the paper equally. L.S.S. and F.Z. both formalized and contributed to the research goals, designed the survey experiment and prepared the manuscript with feedback from each other. L.S.S. conducted the power analysis in consultation with F.Z., and F.Z. developed the outcome measures in consultation with L.S.S. L.S.S and F.Z. contributed to data collection, analysed the data and reviewed and approved the final manuscript together.
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Stoetzer, L.S., Zimmermann, F. A representative survey experiment of motivated climate change denial. Nat. Clim. Chang. 14, 198–204 (2024). https://doi.org/10.1038/s41558-023-01910-2
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DOI: https://doi.org/10.1038/s41558-023-01910-2