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Credibility-enhancing displays promote the provision of non-normative public goods

Author

Listed:
  • Gordon T. Kraft-Todd

    (Yale University)

  • Bryan Bollinger

    (Duke University)

  • Kenneth Gillingham

    (Yale University)

  • Stefan Lamp

    (University of Toulouse Capitole)

  • David G. Rand

    (Massachusetts Institute of Technology)

Abstract

Promoting the adoption of public goods that are not yet widely accepted is particularly challenging. This is because most tools for increasing cooperation—such as reputation concerns1 and information about social norms2—are typically effective only for behaviours that are commonly practiced, or at least generally agreed upon as being desirable. Here we examine how advocates can successfully promote non-normative (that is, rare or unpopular) public goods. We do so by applying the cultural evolutionary theory of credibility-enhancing displays3, which argues that beliefs are spread more effectively by actions than by words alone—because actions provide information about the actor’s true beliefs. Based on this logic, people who themselves engage in a given behaviour will be more effective advocates for that behaviour than people who merely extol its virtues—specifically because engaging in a behaviour credibly signals a belief in its value. As predicted, a field study of a programme that promotes residential solar panel installation in 58 towns in the United States—comprising 1.4 million residents in total—found that community organizers who themselves installed through the programme recruited 62.8% more residents to install solar panels than community organizers who did not. This effect was replicated in three pre-registered randomized survey experiments (total n = 1,805). These experiments also support the theoretical prediction that this effect is specifically driven by subjects’ beliefs about what the community organizer believes about solar panels (that is, second-order beliefs), and demonstrate generalizability to four other highly non-normative behaviours. Our findings shed light on how to spread non-normative prosocial behaviours, offer an empirical demonstration of credibility-enhancing displays and have substantial implications for practitioners and policy-makers.

Suggested Citation

  • Gordon T. Kraft-Todd & Bryan Bollinger & Kenneth Gillingham & Stefan Lamp & David G. Rand, 2018. "Credibility-enhancing displays promote the provision of non-normative public goods," Nature, Nature, vol. 563(7730), pages 245-248, November.
  • Handle: RePEc:nat:nature:v:563:y:2018:i:7730:d:10.1038_s41586-018-0647-4
    DOI: 10.1038/s41586-018-0647-4
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    Citations

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    Cited by:

    1. Sibel Eker & Charlie Wilson & Niklas Hohne & Mark S. McCaffrey & Irene Monasterolo & Leila Niamir & Caroline Zimm, 2023. "A dynamic systems approach to harness the potential of social tipping," Papers 2309.14964, arXiv.org.
    2. Shuo Shi & Lu Zhang & Guohua Wang, 2023. "Bridging the Digital Divide: Internet Use of Older People from the Perspective of Peer Effects," Sustainability, MDPI, vol. 15(15), pages 1-16, August.
    3. Alex Chin & Dean Eckles & Johan Ugander, 2022. "Evaluating Stochastic Seeding Strategies in Networks," Management Science, INFORMS, vol. 68(3), pages 1714-1736, March.
    4. Andrea La Nauze, 2023. "Motivation Crowding in Peer Effects: The Effect of Solar Subsidies on Green Power Purchases," The Review of Economics and Statistics, MIT Press, vol. 105(6), pages 1465-1480, November.
    5. Ertör-Akyazi, Pinar & Akçay, Çağlar, 2021. "Moral intuitions predict pro-social behaviour in a climate commons game," Ecological Economics, Elsevier, vol. 181(C).
    6. Kraft-Todd, Gordon T. & Rand, David G., 2021. "Practice what you preach: Credibility-enhancing displays and the growth of open science," Organizational Behavior and Human Decision Processes, Elsevier, vol. 164(C), pages 1-10.
    7. Shimada, Hideki & Honda, Tomonori, 2022. "What drives households’ choices of residential solar photovoltaic capacity?," Energy Policy, Elsevier, vol. 168(C).
    8. Stefano Carattini & Kenneth Gillingham & Xiangyu Meng & Erez Yoeli, 2022. "Peer-to-Peer Solar and Social Rewards: Evidence from a Field Experiment," CESifo Working Paper Series 10173, CESifo.
    9. Shahzeen Z. Attari & David H. Krantz & Elke U. Weber, 2019. "Climate change communicators’ carbon footprints affect their audience’s policy support," Climatic Change, Springer, vol. 154(3), pages 529-545, June.
    10. Li, Hao & Wang, Zhao-Hua & Zhang, Bin, 2023. "How social interaction induce energy-saving behaviors in buildings: Interpersonal & passive interactions v.s. public & active interactions," Energy Economics, Elsevier, vol. 118(C).
    11. Cristina Bicchieri & Eugen Dimant, 2022. "Nudging with care: the risks and benefits of social information," Public Choice, Springer, vol. 191(3), pages 443-464, June.
    12. Yoon, Haewon & Scopelliti, Irene & Morewedge, Carey K., 2021. "Decision making can be improved through observational learning," Organizational Behavior and Human Decision Processes, Elsevier, vol. 162(C), pages 155-188.
    13. Fibich, Gadi & Levin, Tomer, 2020. "Percolation of new products," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    14. Bicchieri, Cristina & Dimant, Eugen & Sonderegger, Silvia, 2023. "It's not a lie if you believe the norm does not apply: Conditional norm-following and belief distortion," Games and Economic Behavior, Elsevier, vol. 138(C), pages 321-354.
    15. Aliki Papa & Mioara Cristea & Nicola McGuigan & Monica Tamariz, 2021. "Effects of verbal instruction vs. modelling on imitation and overimitation," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-12, December.

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