IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/19776.html
   My bibliography  Save this paper

Aiding Decision-Making to Reduce the Impacts of Climate Change

Author

Listed:
  • Howard Kunreuther
  • Elke U. Weber

Abstract

Utilizing theory and empirical insights from psychology and behavioral economics, this paper examines individuals' cognitive and motivational barriers to adopting climate change adaptation and mitigation measures that increase consumer welfare. We explore various strategies that take into account the simplified decision-making processes used by individuals and resulting biases. We make these points by working through two examples: (1) investments in energy efficiency products and new technology and (2) adaptation measures to reduce property damage from future floods and hurricanes. In both cases there is a reluctance to undertake these measures due to high and certain upfront costs, delayed and probabilistic benefits and behavioral biases related to this asymmetry. The use of choice architecture through framing and the use of default options coupled with short-term incentives and long-term contracts can encourage greater investment in these measures.

Suggested Citation

  • Howard Kunreuther & Elke U. Weber, 2014. "Aiding Decision-Making to Reduce the Impacts of Climate Change," NBER Working Papers 19776, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:19776
    Note: EEE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w19776.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mills, Bradford F. & Schleich, Joachim, 2010. "Why don't households see the light?: Explaining the diffusion of compact fluorescent lamps," Resource and Energy Economics, Elsevier, vol. 32(3), pages 363-378, August.
    2. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    3. Kunreuther,Howard C. & Pauly,Mark V. & McMorrow,Stacey, 2013. "Insurance and Behavioral Economics," Cambridge Books, Cambridge University Press, number 9780521845724.
    4. Daniel Kahneman, 2003. "A Psychological Perspective on Economics," American Economic Review, American Economic Association, vol. 93(2), pages 162-168, May.
    5. Neil D. Weinstein & Kathryn Kolb & Bernard D. Goldstein, 1996. "Using Time Intervals Between Expected Events to Communicate Risk Magnitudes," Risk Analysis, John Wiley & Sons, vol. 16(3), pages 305-308, June.
    6. Severin Borenstein, 2012. "The Private and Public Economics of Renewable Electricity Generation," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 67-92, Winter.
    7. Johnson, Eric J & Hershey, John & Meszaros, Jacqueline & Kunreuther, Howard, 1993. "Framing, Probability Distortions, and Insurance Decisions," Journal of Risk and Uncertainty, Springer, vol. 7(1), pages 35-51, August.
    8. Dermot Gately, 1980. "Individual Discount Rates and the Purchase and Utilization of Energy-Using Durables: Comment," Bell Journal of Economics, The RAND Corporation, vol. 11(1), pages 373-374, Spring.
    9. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    10. Kunreuther,Howard C. & Pauly,Mark V. & McMorrow,Stacey, 2013. "Insurance and Behavioral Economics," Cambridge Books, Cambridge University Press, number 9780521608268.
    11. James J. Choi & David Laibson & Brigitte C. Madrian & Andrew Metrick, 2003. "Optimal Defaults," American Economic Review, American Economic Association, vol. 93(2), pages 180-185, May.
    12. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    13. Jakob, Martin, 2006. "Marginal costs and co-benefits of energy efficiency investments: The case of the Swiss residential sector," Energy Policy, Elsevier, vol. 34(2), pages 172-187, January.
    14. Eric Johnson & Suzanne Shu & Benedict Dellaert & Craig Fox & Daniel Goldstein & Gerald Häubl & Richard Larrick & John Payne & Ellen Peters & David Schkade & Brian Wansink & Elke Weber, 2012. "Beyond nudges: Tools of a choice architecture," Marketing Letters, Springer, vol. 23(2), pages 487-504, June.
    15. Jerry A. Hausman, 1979. "Individual Discount Rates and the Purchase and Utilization of Energy-Using Durables," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 33-54, Spring.
    16. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    17. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    18. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy-efficiency gap What does it mean?," Energy Policy, Elsevier, vol. 22(10), pages 804-810, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Schubert, Christian, 2017. "Green nudges: Do they work? Are they ethical?," Ecological Economics, Elsevier, vol. 132(C), pages 329-342.
    2. Sylwia Słupik & Joanna Kos-Łabędowicz & Joanna Trzęsiok, 2021. "How to Encourage Energy Savings Behaviours? The Most Effective Incentives from the Perspective of European Consumers," Energies, MDPI, vol. 14(23), pages 1-25, November.
    3. Cardella, Eric & Ewing, Brad & Williams, Ryan Blake, 2018. "Green is Good – The Impact of Information Nudges on the Adoption of Voluntary Green Power Plans," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266583, Southern Agricultural Economics Association.
    4. W. J. Wouter Botzen & Erwann Michel-Kerjan & Howard Kunreuther & Hans Moel & Jeroen C. J. H. Aerts, 2016. "Political affiliation affects adaptation to climate risks: Evidence from New York City," Climatic Change, Springer, vol. 138(1), pages 353-360, September.
    5. Jae Young Lim & Kuk-Kyoung Moon, 2020. "Perceived Environmental Threats and Pro-Environmental Behaviors: Investigating the Role of Political Participation Using a South Korean Survey," IJERPH, MDPI, vol. 17(9), pages 1-16, May.
    6. Gary D. Libecap, 2014. "Addressing Global Environmental Externalities: Transaction Costs Considerations," Journal of Economic Literature, American Economic Association, vol. 52(2), pages 424-479, June.
    7. Spandagos, Constantine & Yarime, Masaru & Baark, Erik & Ng, Tze Ling, 2020. "“Triple Target” policy framework to influence household energy behavior: Satisfy, strengthen, include," Applied Energy, Elsevier, vol. 269(C).
    8. Edomah, Norbert & Foulds, Chris & Jones, Aled, 2017. "Policy making and energy infrastructure change: A Nigerian case study of energy governance in the electricity sector," Energy Policy, Elsevier, vol. 102(C), pages 476-485.
    9. Delgado, Laura & Shealy, Tripp, 2018. "Opportunities for greater energy efficiency in government facilities by aligning decision structures with advances in behavioral science," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3952-3961.
    10. Zhuangai Li & Xia Cao, 2021. "Effectiveness of China’s Labeling and Incentive Programs for Household Energy Conservation and Policy Implications," Sustainability, MDPI, vol. 13(4), pages 1-17, February.

    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. Howard Kunreuther & Elke Weber, 2014. "Aiding Decision Making to Reduce the Impacts of Climate Change," Journal of Consumer Policy, Springer, vol. 37(3), pages 397-411, September.
    2. Schleich, Joachim & Gassmann, Xavier & Faure, Corinne & Meissner, Thomas, 2016. "Making the implicit explicit: A look inside the implicit discount rate," Energy Policy, Elsevier, vol. 97(C), pages 321-331.
    3. Häckel, Björn & Pfosser, Stefan & Tränkler, Timm, 2017. "Explaining the energy efficiency gap - Expected Utility Theory versus Cumulative Prospect Theory," Energy Policy, Elsevier, vol. 111(C), pages 414-426.
    4. Egebark, Johan & Ekström, Mathias, 2016. "Can indifference make the world greener?," Journal of Environmental Economics and Management, Elsevier, vol. 76(C), pages 1-13.
    5. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2017. "Assessing the Energy-Efficiency Gap," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1486-1525, December.
    6. Kenneth Gillingham & Karen Palmer, 2014. "Bridging the Energy Efficiency Gap: Policy Insights from Economic Theory and Empirical Evidence," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 8(1), pages 18-38, January.
    7. Fischbacher, Urs & Schudy, Simeon & Teyssier, Sabrina, 2021. "Heterogeneous preferences and investments in energy saving measures," Resource and Energy Economics, Elsevier, vol. 63(C).
    8. Dolan, P. & Hallsworth, M. & Halpern, D. & King, D. & Metcalfe, R. & Vlaev, I., 2012. "Influencing behaviour: The mindspace way," Journal of Economic Psychology, Elsevier, vol. 33(1), pages 264-277.
    9. Spandagos, Constantine & Ng, Tze Ling, 2018. "Fuzzy model of residential energy decision-making considering behavioral economic concepts," Applied Energy, Elsevier, vol. 213(C), pages 611-625.
    10. Olsthoorn, Mark & Schleich, Joachim & Faure, Corinne, 2019. "Exploring the diffusion of low-energy houses: An empirical study in the European Union," Energy Policy, Elsevier, vol. 129(C), pages 1382-1393.
    11. Laura Abrardi, 2019. "Behavioral barriers and the energy efficiency gap: a survey of the literature," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(1), pages 25-43, March.
    12. Leigh Anderson & Kostas G. Stamoulis, 2006. "Applying Behavioural Economics to International Development Policy," WIDER Working Paper Series RP2006-24, World Institute for Development Economic Research (UNU-WIDER).
    13. Min, Jihoon & Azevedo, Inês L. & Michalek, Jeremy & de Bruin, Wändi Bruine, 2014. "Labeling energy cost on light bulbs lowers implicit discount rates," Ecological Economics, Elsevier, vol. 97(C), pages 42-50.
    14. Rockstuhl, Sebastian & Wenninger, Simon & Wiethe, Christian & Häckel, Björn, 2021. "Understanding the risk perception of energy efficiency investments: Investment perspective vs. energy bill perspective," Energy Policy, Elsevier, vol. 159(C).
    15. Högberg, Lovisa, 2015. "Who will close the energy efficiency gap? A quantitative study of what characterizes ambitious housing firms in Sweden," Working Paper Series 15/1, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    16. Giraudet, Louis-Gaëtan, 2020. "Energy efficiency as a credence good: A review of informational barriers to energy savings in the building sector," Energy Economics, Elsevier, vol. 87(C).
    17. Julia Blasch & Claudio Daminato, 2018. "Behavioral anomalies and energy-related individual choices: the role of status-quo bias," CER-ETH Economics working paper series 18/300, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    18. Rita Abdel Sater, 2021. "Essays on the application of behavioural insights to environmental policy [Essais sur l’application des connaissances comportementales aux politiques environnementales]," SciencePo Working papers tel-03450909, HAL.
    19. Gabriela Michalek & Georg Meran & Reimund Schwarze & Özgür Yildiz, 2015. "Nudging as a new 'soft' tool in environmental policy. An analysis based on insights from cognitive and social psychology," Discussion Paper Series RECAP15 21, RECAP15, European University Viadrina, Frankfurt (Oder).
    20. Panzone, Luca A., 2013. "Saving money vs investing money: Do energy ratings influence consumer demand for energy efficient goods?," Energy Economics, Elsevier, vol. 38(C), pages 51-63.

    More about this item

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:19776. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.