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Linking human destruction of nature to COVID-19 increases support for wildlife conservation policies

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  • Shreedhar, Ganga
  • Mourato, Susana

Abstract

This paper investigates if narratives varying the cause of the COVID-19 pandemic affects pro-wildlife conservation outcomes. In a pre-registered online experiment (N = 1081), we randomly allocated subjects to either a control group or to one of three narrative treatment groups, each presenting a different likely cause of the COVID-19 outbreak: an animal cause; an animal and human cause (AHC); and an animal, human or lab cause. We found that the AHC narrative elicited significantly greater pro-conservation policy support, especially for bans in the commercial trade of wildlife, when compared to the control group. Possible mechanisms driving this effect are that AHC narratives were less familiar, elicited higher mental and emotional engagement, and induced feelings that firms and governments are responsible for mitigating wildlife extinction.

Suggested Citation

  • Shreedhar, Ganga & Mourato, Susana, 2020. "Linking human destruction of nature to COVID-19 increases support for wildlife conservation policies," LSE Research Online Documents on Economics 105297, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:105297
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    File URL: http://eprints.lse.ac.uk/105297/
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    References listed on IDEAS

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    1. Jennifer Edson Escalas, 2007. "Self-Referencing and Persuasion: Narrative Transportation versus Analytical Elaboration," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 33(4), pages 421-429, December.
    2. Bulte, Erwin & Gerking, Shelby & List, John A. & de Zeeuw, Aart, 2005. "The effect of varying the causes of environmental problems on stated WTP values: evidence from a field study," Journal of Environmental Economics and Management, Elsevier, vol. 49(2), pages 330-342, March.
    3. Kfir Eliaz & Ran Spiegler, 2020. "A Model of Competing Narratives," American Economic Review, American Economic Association, vol. 110(12), pages 3786-3816, December.
    4. Fredrik Carlsson & Haoran He & Peter Martinsson, 2013. "Easy come, easy go," Experimental Economics, Springer;Economic Science Association, vol. 16(2), pages 190-207, June.
    5. Jason Dana & Roberto Weber & Jason Kuang, 2007. "Exploiting moral wiggle room: experiments demonstrating an illusory preference for fairness," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 33(1), pages 67-80, October.
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    Cited by:

    1. Blanco, Esther & Baier, Alexandra & Holzmeister, Felix & Jaber-Lopez, Tarek & Struwe, Natalie, 2022. "Substitution of social sustainability concerns under the Covid-19 pandemic," Ecological Economics, Elsevier, vol. 192(C).
    2. Diekert, Florian & Goeschl, Timo & König-Kersting, Christian, 2024. "The Behavioral Economics of Extreme Event Attribution," Working Papers 0741, University of Heidelberg, Department of Economics.

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    More about this item

    Keywords

    narratives; communication; conversation; wildlife; extinction; conservation policy; environmental policy; prosocial behaviour; experiment; Covid-19; coronavirus;
    All these keywords.

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other

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