Abstract
Environmental discounting is a potentially important research area for climate change mitigation. We aimed to replicate and extend earlier work on the discounting of a negative environmental outcome. We measured ratings of concern, and willingness to act to mitigate, an outcome involving air pollution that would hypothetically affect the garden and drinking water of the participants over psychological distance represented by temporal (1 month, 6 months, and 1, 3, 5, 10, and 80 years), spatial (5, 20, 50, 100, 1000, and 5000 km), and probabilistic (95%, 90%, 50%, 30%, 10%, and 5% likelihood) dimensions. For our data from 224 first-year psychology students, of four potential models (an exponential, simple hyperbolic, and two hyperboloid functions), the Rachlin hyperboloid was the best-fitting model describing ratings of concern and action across all three dimensions. Willingness to act was discounted more steeply than concern across all dimensions. There was little difference in discounting for outcomes described as human-caused rather than natural, except that willingness to act was discounted more steeply than concern for human-caused environmental outcomes compared to natural outcomes across spatial (and, less conclusively, temporal) distance. Presenting values of the three dimensions in random or progressive order had little effect on the results. Our results reflect the often-reported attitude-behavior gap whereby people maintain concern about a negative event over dimensions of psychological distance, but their willingness to act to mitigate the event is lower and more steeply discounted.
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Berry, M. S., Friedel, J. E., DeHart, W. B., Mahamane, S., Jordan, K. E., & Odum, A. L. (2017). The value of clean air: Comparing discounting of delayed air quality and money across magnitudes. The Psychological Record, 67, 137–148. https://doi.org/10.1007/s40732-017-0233-4.
Berry, M. S., Nickerson, N. P., & Odum, A. L. (2017). Delay discounting as an index of sustainable behaviour: Devaluation of future air quality and implications for public health. International Journal of Environmental Research & Public Health, 14, 997. https://doi.org/10.3390/ijerph14090997.
Bickel, W. K., Odum, A. L., & Madden, G. J. (1999). Impulsivity and cigarette smoking: Delay discounting in current, never, and ex-smokers. Psychopharmacology, 146, 447–454.
Blackburn, M., & El-Deredy, W. (2013). The future is risky: Discounting of delayed and uncertain outcomes. Behavioural Processes, 94, 9–18. https://doi.org/10.1016/j.beproc.2012.11.005.
Budescu, D. V., Broomell, S., & Por, H.-H. (2009). Improving communication of uncertainty in the reports of the Intergovernmental Panel on Climate Change. Psychological Science, 20, 299–308. https://doi.org/10.1111/j.1467-9280.2009.02284.x.
Carlsson, A. M. (1983). Assessment of chronic pain. I. Aspects of the reliability and validity of the visual analogue scale. Pain, 16, 87–101. https://doi.org/10.1016/0304-3959(83)90088-X.
Diekmann, A., & Preissendörfer, P. (2003). Green and Greenback: The behavioral effects of environmental attitudes in low-cost and high-cost situations. Rationality and Society, 15, 441–472.
Dolan, P., Hallsworth, M., Halpern, D., King, D., Metcalfe, R., & Vlaev, I. (2012). Influencing behaviour: The mindspace way. Journal of Economic Psychology, 33, 264–277. https://doi.org/10.1016/j.joep.2011.10.009.
Doyle, J. R. (2012). Survey of time preference, delay discounting models. doi:https://doi.org/10.2139/ssrn.1685861
Du, W., Green, L., & Myerson, J. (2002). Cross-cultural comparison of discounting delayed and probabilistic rewards. The Psychological Record, 52, 479–492.
Franck, C. T., Koffarnus, M. N., House, L. L., & Bickel, W. K. (2015). Accurate characterization of delay discounting: A multiple model approach using Bayesian model selection and a unified discounting measure. Journal of the Experimental Analysis of Behavior, 103, 218–233. https://doi.org/10.1002/jeab.128.
Frey, B. S., Oberholzer-Gee, F., & Eichenberger, R. (1996). The old lady visits your backyard: A tale of morals and markets. Journal of Political Economy, 104, 1297–1313. https://doi.org/10.1086/262060.
Gattig, A., & Hendrickx, L. (2007). Judgmental discounting and environmental risk perception: Dimensional similarities, domain differences, and implications for sustainability. Journal of Social Issues, 63, 21–39. https://doi.org/10.1111/j.1540-4560.2007.00494.x.
Gifford, R. (2011). The dragons of inaction: Psychological barriers that limit climate change mitigation and adaptation. American Psychologist, 66, 290–302. https://doi.org/10.1037/a0023566.
Gilroy, S. P., Franck, C. T., & Hantula, D. A. (2017). The discounting model selector: Statistical software for delay discounting applications. Journal of the Experimental Analysis of Behavior, 107, 388–401. https://doi.org/10.1002/jeab.257.
Green, L., & Myerson, J. (2004). A discounting framework for choice with delayed and probabilistic rewards. Psychological Bulletin, 130, 769–792. https://doi.org/10.1037/0033-2909.130.5.769.
Green, L., & Myerson, J. (2010). Experimental and correlational analyses of delay and probability discounting. In G. J. Madden & W. K. Bickel (Eds.), Impulsivity: The behavioral and neurological science of discounting (pp. 67–92). Washington, DC: American Psychological Association.
Hanley, N., Schläpfer, F., & Spurgeon, J. (2003). Aggregating the benefits of environmental improvements: Distance-decay functions for use and non-use values. Journal of Environmental Management, 68, 297–304. https://doi.org/10.1016/S0301-4797(03)00084-7.
Hannon, B. (1994). Sense of place: Geographic discounting by people, animals and plants. Ecological Economics, 10, 157–174.
Hardisty, D. J., Orlove, B., Krantz, D. H., Small, A. A., Milch, K. F., & Osgood, D. E. (2012). About time: An integrative approach to effective environmental policy. Global Environmental Change, 22, 684–694. https://doi.org/10.1016/j.gloenvcha.2012.05.003.
Hardisty, D. J., Thompson, K. F., Krantz, D. H., & Weber, E. U. (2013). How to measure time preferences: An experimental comparison of three methods. Judgment and Decision making, 8, 236–249 Retrieved from http://journal.sjdm.org/12/12209/jdm12209.pdf.
Hardisty, D. J., & Weber, E. U. (2009). Discounting future green: Money versus the environment. Journal of Experimental Psychology: General, 138, 329–340. https://doi.org/10.1037/a0016433.
Hart, A. (2001). Mann-Whitney test is not just a test of medians: Differences in spread can be important. British Medical Journal, 323, 391–393. https://doi.org/10.1136/bmj.323.7309.391.
Hartter, J., Hamilton, L. C., Boag, A. E., Stevens, F. R., Ducey, M. J., Christoffersen, N. D., et al. (2018). Does it matter if people think climate change is human caused? Climate Services, 10, 53–62. https://doi.org/10.1016/j.cliser.2017.06.014.
Hine, D. W., & Gifford, R. (1996). Individual restraint and group efficiency in commons dilemmas: The effects of two types of environmental uncertainty. Journal of Applied Social Psychology, 26, 993–1009. https://doi.org/10.1111/j.1559-1816.1996.tb01121.x.
Hines, J. M., Hungerford, H. R., & Tomera, A. N. (1987). Analysis and synthesis of research on responsible environmental behavior: A meta-analysis. Journal of Environmental Education, 18(2), 1–8. https://doi.org/10.1080/00958964.1987.9943482.
Hirsh, J., Costello, M., & Fuqua, R. (2015). Analysis of delay discounting as a psychological measure of sustainable behavior. Behavior & Social Issues, 24, 187–202. https://doi.org/10.5210/bsi.v.24i0.5906.
Intergovernmental Panel on Climate Change (IPCC). (2018). Global warming of 1.5°C: An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty (V. Masson-Delmotte, P. Zhai, H. O. Pörtner, D. Roberts, J. Skea, P. R. Shukla, A. Pirani, W. Moufouma-Okia, C. Péan, R. Pidcock, S. Connors, J. B. R. Matthews, Y. Chen, X. Zhou, M. I. Gomis, E. Lonnoy, T. Maycock, M. Tignor, T. Waterfield, eds.). Geneva, Switzerland: IPCC.
Johnson, M. W., & Bickel, W. K. (2008). An algorithm for identifying nonsystematic delay-discounting data. Experimental and Clinical Psychopharmacology, 16, 264–274. https://doi.org/10.1037/1064-1297.16.3.264.
Johnson, M. W., & Bruner, N. R. (2013). Test–retest reliability and gender differences in the sexual discounting task among cocaine-dependent individuals. Experimental and Clinical Psychopharmacology, 21, 277. https://doi.org/10.1037/a0033071.
Kaplan, B., Reed, D., & McKerchar, T. (2014). Using a visual analogue scale to assess delay, social, and probability discounting of an environmental loss. The Psychological Record, 64, 261–269. https://doi.org/10.1007/s40732-014-0041-z.
Kass, R. E., & Raftery, A. E. (1995). Bayes factors. Journal of the American Statistical Association, 90, 773–795 Retrieved from https://www.jstor.org/stable/2291091.
Laibson, D. (1997). Golden eggs and hyperbolic discounting. Quarterly Journal of Economics, 112, 443–478. https://doi.org/10.1162/003355397555253.
Madden, G. J., & Bickel, W. K. (2010). Impulsivity: The behavioral and neurological science of discounting. Washington, DC: American Psychological Association.
Mazur, J. E. (1987). An adjusting procedure for studying delayed reinforcement. In M. L. Commons, J. E. Mazur, J. A. Nevin, & H. Rachlin (Eds.), Quantitative analyses of behavior: The effect of delay and of intervening events on reinforcement value (5th ed., pp. 55–76). New York, NY: Psychology Press.
McKerchar, T. L., Green, L., & Myerson, J. (2010). On the scaling interpretation of exponents in hyperboloid models of delay and probability discounting. Behavioural Processes, 84, 440–444. https://doi.org/10.1016/j.beproc.2010.01.003.
McKerchar, T. L., Green, L., Myerson, J., Pickford, T. S., Hill, J. C., & Stout, S. C. (2009). A comparison of four models of delay discounting in humans. Behavioural Processes, 81, 256–259. https://doi.org/10.1016/j.beproc.2008.12.017.
McKerchar, T. L., Kaplan, B. A., Reed, D. D., Suggs, S. A., & Franck, C. T. (2019). Discounting environmental outcomes: Temporal and probabilistic air-quality gains and losses. Behavior Analysis: Research & Practice, 19, 273–280. https://doi.org/10.1037/bar0000138.
Meyer, A. (2013). Intertemporal valuation of river restoration. Environmental and Resource Economics, 54, 41–61. https://doi.org/10.1007/s10640-012-9580-4.
Myerson, J., & Green, L. (1995). Discounting of delayed rewards: models of individual choice. Journal of the Experimental Analysis of Behavior, 64, 263–276.
O’Connor, R. E., Bord, R. J., Yarnal, B., & Wiefek, N. (2002). Who wants to reduce greenhouse gas emissions? Social Science Quarterly, 83, 1–17 https://doi.org/10.1111/1540-6237.00067.
Olivier, J. G., Schure, K. M., & Peters, J. A. H. W. (2017). Trends in global CO2 and total greenhouse gas emissions. PBL Netherlands Environmental Assessment Agency, 5. Retrieved from https://www.pbl.nl/en/publications/trends-in-global-co2-and-total-greenhouse-gas-emissions-2017-report
Pate, J., & Loomis, J. (1997). The effect of distance on willingness to pay values: A case study of wetlands and salmon in California. Ecological Economics, 20, 199–207.
Price, D. D., McGrath, P. A., Rafii, A., & Buckingham, B. (1983). The validation of visual analogue scales as ratio scale measures for chronic and experimental pain. Pain, 17, 45–56. https://doi.org/10.1016/0304-3959(83)90126-4.
Rachlin, H. (2006). Notes on discounting. Journal of the Experimental Analysis of Behavior, 85, 425–435. https://doi.org/10.1901/jeab.2006.85-05.
Rachlin, H., Raineri, A., & Cross, D. (1991). Subjective probability and delay. Journal of the Experimental Analysis of Behavior, 55, 233–244. https://doi.org/10.1901/jeab.1991.55-233.
Sargisson, R. J., & McLean, I. G. (2015). Linking knowledge and action on sustainable living. Sustainability: The Journal of Record, 8, 127–135. https://doi.org/10.1089/sus.2015.29003.rjs.
Siegrist, M., & Sütterlin, B. (2014). Human and nature-caused hazards: The affect heuristic causes biased decisions. Risk Analysis, 34, 1482–1494. https://doi.org/10.1111/risa.12179.
Spence, A., Pidgeon, N., & Uzzell, D. (2009). Climate change : Psychology’s contribution. The Psychologist, 21, 108–111 Retrieved from http://www.bps.org.uk/publications/the-psychologist.
Swim, J., Clayton, S., Doherty, T., Gifford, R., Howard, G., Reser, J., et al. (2009). Psychology and global climate change: Addressing a multi-faceted phenomenon and set of challenges. A report by the American Psychological Association’s task force on the interface between psychology and global climate change. Washington, DC: American Psychological Association.
Terrell, H. K., Derenne, A., & Weatherly, J. N. (2014). Exploratory and confirmatory factor analyses of probability discounting of different outcomes across different methods of measurement. American Journal of Psychology, 127, 215–231. https://doi.org/10.5406/amerjpsyc.127.2.0215.
Trope, Y., & Liberman, N. (2010). Construal-level theory of psychological distance. Psychological Review, 117, 440. https://doi.org/10.1037/a0018963.
Ueno, Y., Hyodo, M., Yang, T., & Katoh, S. (2019). Intensified East Asian winter monsoon during the last geomagnetic reversal transition. Scientific Reports, 9, 9389. https://doi.org/10.1038/s41598-019-45466-8.
Viscusi, W. K., Huber, J., & Bell, J. (2008a). The economic value of water quality. Environmental and Resource Economics, 41, 169–187. https://doi.org/10.1007/s10640-007-9186-4.
Viscusi, W. K., Huber, J., & Bell, J. (2008b). Estimating discount rates for environmental quality from utility-cased choice experiments. Journal of Risk and Uncertainty, 37, 199–220. https://doi.org/10.1007/s11166-008-9045-x.
Vlek, C., & Keren, G. (1992). Behavioral decision theory and environmental risk management: Assessment and resolution of four “survival” dilemmas. Acta Psychologica, 80, 249–278. https://doi.org/10.1016/0001-6918(92)90050-N.
Young, M. E. (2017). Discounting: A practical guide to multilevel analysis of indifference data. Journal of the Experimental Analysis of Behavior, 108, 97–112. https://doi.org/10.1002/jeab.265.
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Sargisson, R.J., Schöner, B.V. Hyperbolic Discounting with Environmental Outcomes across Time, Space, and Probability. Psychol Rec 70, 515–527 (2020). https://doi.org/10.1007/s40732-019-00368-z
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DOI: https://doi.org/10.1007/s40732-019-00368-z