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Climate Change Risk, and Human Behavior: Theory and Evidence

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  • Sanjit Dhami
  • Narges Hajimoladarvish
  • Pavan Mamidi

Abstract

A group of decision makers simultaneously make contributions towards a green fund that reduces the future probability of a climate catastrophe. We derive the theoretical predictions of the effects on contributions arising from `behavioral parameters' such as loss aversion and present-bias; `structural factors' such as variation in the timing of uncertainty; the `demand for a commitment device'; and `institutional factors' such as comparing voluntary contributions with mandatory tax financed contributions. We then run experiments to stringently test our predictions. Loss aversion and present-bias reduce contributions; there is demand for the commitment technology; and voluntary contributions are higher relative to mandatory tax-financed contributions.

Suggested Citation

  • Sanjit Dhami & Narges Hajimoladarvish & Pavan Mamidi, 2023. "Climate Change Risk, and Human Behavior: Theory and Evidence," CESifo Working Paper Series 10678, CESifo.
    • Handle: RePEc:ces:ceswps:_10678
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    References listed on IDEAS

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    1. Stern, Nicholas, 2022. "A time for action on climate change and a time for change in economics," LSE Research Online Documents on Economics 113456, London School of Economics and Political Science, LSE Library.
    2. Ghidoni, Riccardo & Calzolari, Giacomo & Casari, Marco, 2017. "Climate change: Behavioral responses from extreme events and delayed damages," Energy Economics, Elsevier, vol. 68(S1), pages 103-115.
    3. Richard H. Thaler & Shlomo Benartzi, 2004. "Save More Tomorrow (TM): Using Behavioral Economics to Increase Employee Saving," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 164-187, February.
    4. Olivier De Groote & Frank Verboven, 2019. "Subsidies and Time Discounting in New Technology Adoption: Evidence from Solar Photovoltaic Systems," American Economic Review, American Economic Association, vol. 109(6), pages 2137-2172, June.
    5. Dengler, Sebastian & Gerlagh, Reyer & Trautmann, Stefan T. & van de Kuilen, Gijs, 2018. "Climate policy commitment devices," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 331-343.
    6. Oded Galor & Viacheslav Savitskiy, 2018. "Climatic Roots of Loss Aversion," CESifo Working Paper Series 6917, CESifo.
    7. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    8. Nicholas Stern, 2022. "A Time for Action on Climate Change and a Time for Change in Economics," The Economic Journal, Royal Economic Society, vol. 132(644), pages 1259-1289.
    9. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    10. Harding, Matthew & Hsiaw, Alice, 2014. "Goal setting and energy conservation," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 209-227.
    11. Andreoni, James & Kuhn, Michael A. & Sprenger, Charles, 2015. "Measuring time preferences: A comparison of experimental methods," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 451-464.
    12. James Andreoni & Charles Sprenger, 2012. "Estimating Time Preferences from Convex Budgets," American Economic Review, American Economic Association, vol. 102(7), pages 3333-3356, December.
    13. Calzolari, Giacomo & Casari, Marco & Ghidoni, Riccardo, 2018. "Carbon is forever: A climate change experiment on cooperation," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 169-184.
    14. Dhami, Sanjit & Wei, Mengxing & al-Nowaihi, Ali, 2023. "Classical and belief-based gift exchange models: Theory and evidence," Games and Economic Behavior, Elsevier, vol. 138(C), pages 171-196.
    15. Astrid Dannenberg & Andreas Löschel & Gabriele Paolacci & Christiane Reif & Alessandro Tavoni, 2015. "On the Provision of Public Goods with Probabilistic and Ambiguous Thresholds," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(3), pages 365-383, July.
    16. Sanjit Dhami & Narges Hajimoladarvish & Pavan Mamidi, 2023. "Loss Aversion and Tax Evasion: Theory and Evidence," CESifo Working Paper Series 10224, CESifo.
    17. Heinz, Nicolai & Koessler, Ann-Kathrin, 2021. "Other-regarding preferences and pro-environmental behaviour: An interdisciplinary review of experimental studies," Ecological Economics, Elsevier, vol. 184(C).
    18. Taisuke Imai & Tom A Rutter & Colin F Camerer, 2021. "Meta-Analysis of Present-Bias Estimation using Convex Time Budgets," The Economic Journal, Royal Economic Society, vol. 131(636), pages 1788-1814.
    19. Werthschulte, Madeline & Löschel, Andreas, 2021. "On the role of present bias and biased price beliefs in household energy consumption," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    20. Mohammed Abdellaoui, 2000. "Parameter-Free Elicitation of Utility and Probability Weighting Functions," Management Science, INFORMS, vol. 46(11), pages 1497-1512, November.
    21. Fabian Herweg & Klaus M Schmidt, 2022. "How to Regulate Carbon Emissions with Climate-Conscious Consumers," The Economic Journal, Royal Economic Society, vol. 132(648), pages 2992-3019.
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    More about this item

    Keywords

    climate risk abatement; loss aversion; present-biased preferences; voluntary versus mandatory contribution mechanisms; commitment technology;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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