IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v5y2013i1p357-371d23032.html

Enabling Eco-Friendly Choices by Relying on the Proportional-Thinking Heuristic

Author

Listed:
  • Varun Dutt

    (School of Computing and Electrical Engineering, School of Humanities and Social Sciences, Indian Institute of Technology, Mandi, 175001, India)

  • Cleotilde Gonzalez

    (Dynamic Decision Making Laboratory, Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA 15289, USA)

Abstract

Ecological (eco) taxes are promising mechanisms to enable eco-friendly decisions, but few people prefer them. In this study, we present a way in which eco-tax options may be communicated to general public to encourage their payment. Our implementation (called “information presentation”) takes advantage of the non-linear relationship between eco-tax payments and CO 2 emissions and the human reliance on the proportional-thinking heuristic. According to the proportional-thinking heuristic, people are likely to prefer a small eco-tax increase and judge larger eco-tax increases to cause proportionally greater CO 2 emissions reductions. In an online study, participants were asked to choose between eco-tax increases in two problems: In one, a smaller eco-tax increase resulted in greater CO 2 emissions reduction, while in the other, a smaller tax increase resulted in lesser CO 2 emissions reduction. Although the larger eco-tax increase did not reduce CO 2 emissions the most, across both problems, people judged larger eco-tax increases to cause proportionally greater reductions in CO 2 emissions and preferred smaller tax increases. Thus, eco-tax policies would benefit by presenting information in terms of eco-tax increases, such that smaller eco-tax increases (which are more attractive and are likely to be chosen by people) cause greater CO 2 emissions reductions.

Suggested Citation

  • Varun Dutt & Cleotilde Gonzalez, 2013. "Enabling Eco-Friendly Choices by Relying on the Proportional-Thinking Heuristic," Sustainability, MDPI, vol. 5(1), pages 1-15, January.
  • Handle: RePEc:gam:jsusta:v:5:y:2013:i:1:p:357-371:d:23032
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/5/1/357/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/5/1/357/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cronin, Matthew A. & Gonzalez, Cleotilde & Sterman, John D., 2009. "Why don't well-educated adults understand accumulation? A challenge to researchers, educators, and citizens," Organizational Behavior and Human Decision Processes, Elsevier, vol. 108(1), pages 116-130, January.
    2. Varun Dutt & Cleotilde Gonzalez, 2012. "Human control of climate change," Climatic Change, Springer, vol. 111(3), pages 497-518, April.
    3. Payne, John W & Bettman, James R & Schkade, David A, 1999. "Measuring Constructed Preferences: Towards a Building Code," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 243-270, December.
    4. Johnson, Eric J. & Payne, John W. & Bettman, James R., 1988. "Information displays and preference reversals," Organizational Behavior and Human Decision Processes, Elsevier, vol. 42(1), pages 1-21, August.
    5. Gabriele Paolacci & Jesse Chandler & Panagiotis G. Ipeirotis, 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 5(5), pages 411-419, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hazhir Rahmandad & Jerker Denrell & Drazen Prelec, 2021. "What makes dynamic strategic problems difficult? Evidence from an experimental study," Strategic Management Journal, Wiley Blackwell, vol. 42(5), pages 865-897, May.
    2. Ian Krajbich & Todd Hare & Björn Bartling & Yosuke Morishima & Ernst Fehr, 2015. "A Common Mechanism Underlying Food Choice and Social Decisions," PLOS Computational Biology, Public Library of Science, vol. 11(10), pages 1-24, October.
    3. David K Sewell & Peter J Rayner & Daniel B Shank & Sophie Guy & Simon D Lilburn & Saam Saber & Yoshihisa Kashima, 2017. "Causal knowledge promotes behavioral self-regulation: An example using climate change dynamics," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-19, September.
    4. Pechtl, Hans, 2011. "Die Präferenzwirkung nicht-verfügbarer Alternativen: Der Phantomeffekt," Wirtschaftswissenschaftliche Diskussionspapiere 01/2011, University of Greifswald, Faculty of Law and Economics.
    5. Thunström, Linda & Nordström, Jonas & Shogren, Jason F., 2015. "Certainty and overconfidence in future preferences for food," Journal of Economic Psychology, Elsevier, vol. 51(C), pages 101-113.
    6. Yamada, Katsunori & Sato, Masayuki, 2013. "Another avenue for anatomy of income comparisons: Evidence from hypothetical choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 89(C), pages 35-57.
    7. Kenneth D. Nguyen & Heather Rosoff & Richard S. John, 2017. "Valuing Equal Protection in Aviation Security Screening," Risk Analysis, John Wiley & Sons, vol. 37(12), pages 2405-2419, December.
    8. Sweldens, Steven & Puntoni, Stefano & Paolacci, Gabriele & Vissers, Maarten, 2014. "The bias in the bias: Comparative optimism as a function of event social undesirability," Organizational Behavior and Human Decision Processes, Elsevier, vol. 124(2), pages 229-244.
    9. S. Venus Jin & Aziz Muqaddam, 2019. "Product placement 2.0: “Do Brands Need Influencers, or Do Influencers Need Brands?”," Journal of Brand Management, Palgrave Macmillan, vol. 26(5), pages 522-537, September.
    10. Hazhir Rahmandad & Nelson Repenning, 2016. "Capability erosion dynamics," Strategic Management Journal, Wiley Blackwell, vol. 37(4), pages 649-672, April.
    11. Enrico Rubaltelli & Lorella Lotto & Ilana Ritov & Rino Rumiati, 2015. "Moral investing: Psychological motivations and implications," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 10(1), pages 64-75, January.
    12. Hsu, Dan K. & Burmeister-Lamp, Katrin & Simmons, Sharon A. & Foo, Maw-Der & Hong, Michelle C. & Pipes, Jesse D., 2019. "“I know I can, but I don't fit”: Perceived fit, self-efficacy, and entrepreneurial intention," Journal of Business Venturing, Elsevier, vol. 34(2), pages 311-326.
    13. Lutz, Christoph & Newlands, Gemma, 2018. "Consumer segmentation within the sharing economy: The case of Airbnb," Journal of Business Research, Elsevier, vol. 88(C), pages 187-196.
    14. Nir Halevy & Sora Jun & Eileen Y. Chou, 2020. "Intergroup Conflict is Our Business: CEOs’ Ethical Intergroup Leadership Fuels Stakeholder Support for Corporate Intergroup Responsibility," Journal of Business Ethics, Springer, vol. 162(1), pages 229-246, February.
    15. Mariconda, Simone & Lurati, Francesco, 2015. "Does familiarity breed stability? The role of familiarity in moderating the effects of new information on reputation judgments," Journal of Business Research, Elsevier, vol. 68(5), pages 957-964.
    16. Jeremy Michels, 2017. "Disclosure Versus Recognition: Inferences from Subsequent Events," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 55(1), pages 3-34, March.
    17. Tarcia Camily Cavalcante Quezado & Nuno Fortes & William Quezado Figueiredo Cavalcante, 2022. "The Influence of Corporate Social Responsibility and Business Ethics on Brand Fidelity: The Importance of Brand Love and Brand Attitude," Sustainability, MDPI, vol. 14(5), pages 1-20, March.
    18. Gandullia, Luca & Lezzi, Emanuela, 2018. "The price elasticity of charitable giving: New experimental evidence," Economics Letters, Elsevier, vol. 173(C), pages 88-91.
    19. Pam A. Mueller & Lawrence M. Solan & John M. Darley, 2012. "When Does Knowledge Become Intent? Perceiving the Minds of Wrongdoers," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 9(4), pages 859-892, December.
    20. Masha Shunko & Julie Niederhoff & Yaroslav Rosokha, 2018. "Humans Are Not Machines: The Behavioral Impact of Queueing Design on Service Time," Management Science, INFORMS, vol. 64(1), pages 453-473, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:5:y:2013:i:1:p:357-371:d:23032. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.