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Social Norms and the Threat of Climate Change: An Agent-Based Model to Investigate Pro-Environmental Behaviour

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Abstract

How people react towards threatening information such as climate change is a non-trivial matter. While people with a high environmental self-identity tend to react approach-motivated by engaging in pro-environmental behaviour, people of low environmental self-identity may exhibit proximal defence behaviour, by avoiding and distracting themselves from potentially threatening stimuli caused by identified anxious thoughts and circumstances. This psychological theory has recently been tested in experimental studies in which results suggest that the promotion of climate change information can also backfire. Based on these findings, we propose an agent-based model to address influences on anxiety and correlated pro-environmental actions in relation to societal norms of climate change scepticism and environmental self-identity.

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Notes

  1. 1.

    Values are general and abstract principles that one strives for in life, while self-identity reflects how one sees oneself. We will limit further discussion to the latter terminology. See [26] for a conceptual differentiation between environmental preferences, intentions and behaviour.

References

  1. S. Balbi, C. Giupponi, Agent-based modelling of socio-ecosystems: a methodology for the analysis of adaptation to climate change. Int. J. Agent Technol. Syst. 2(4), 17–38 (2010)

    Article  Google Scholar 

  2. K.M. Bloomquist, A comparison of agent-based models of income tax evasion. Soc. Sci. Comput. Rev. 24(4), 411–425 (2006)

    Article  Google Scholar 

  3. G. Boella, L. Van Der Torre, H. Verhagen, Introduction to normative multiagent systems. Comput. Math. Organ. Theory 12(2–3), 71–79 (2006)

    Article  Google Scholar 

  4. J.W. Bolderdijk, M. Gorsira, K. Keizer, L. Steg, Values determine the (in) effectiveness of informational interventions in promoting pro-environmental behavior. PloS one 8(12), e83911 (2013)

    Google Scholar 

  5. A. Corner, L. Whitmarsh, D. Xenias, Uncertainty, scepticism and attitudes towards climate change: biased assimilation and attitude polarisation. Clim. Change 114(3–4), 463–478 (2012)

    Article  Google Scholar 

  6. T.E. Downing, S. Moss, C. Pahl-Wostl, Understanding climate policy using participatory agent-based social simulation, in International Workshop on Multi-Agent Systems and Agent-Based Simulation (Springer, 2000), pp. 198–213

    Google Scholar 

  7. C. Elsenbroich, N. Gilbert, Modelling norms, in Modelling Norms (Springer, 2014), pp. 143–149

    Google Scholar 

  8. J.M. Epstein, Learning to be thoughtless: social norms and individual computation. Comput. Econ. 18(1), 9–24 (2001)

    Article  Google Scholar 

  9. M. Feinberg, R. Willer, Apocalypse soon? Dire messages reduce belief in global warming by contradicting just-world beliefs. Psychol. Sci. 22(1), 34–38 (2011)

    Article  Google Scholar 

  10. T. Filatova, P.H. Verburg, D.C. Parker, C.A. Stannard, Spatial agent-based models for socio-ecological systems: challenges and prospects. Environ. Modell. Softw. 45, 1–7 (2013)

    Article  Google Scholar 

  11. M.D. Gerst, P. Wang, A. Roventini, G. Fagiolo, G. Dosi, R.B. Howarth, M.E. Borsuk, Agent-based modeling of climate policy: an introduction to the engage multi-level model framework. Environ. Modell. Softw. 44, 62–75 (2013)

    Article  Google Scholar 

  12. T. Grothmann, A. Patt, Adaptive capacity and human cognition: the process of individual adaptation to climate change. Global Environ. Change 15(3), 199–213 (2005)

    Article  Google Scholar 

  13. B. Hassani-Mahmooei, B.W. Parris, Climate change and internal migration patterns in Bangladesh: an agent-based model. Environ. Dev. Econ. 17(6), 763–780 (2012)

    Article  Google Scholar 

  14. E. Jonas, I. McGregor, J. Klackl, D. Agroskin, I. Fritsche, C. Holbrook, K. Nash, T. Proulx, M. Quirin, Threat and defense: from anxiety to approach. In: Advances in experimental social psychology, vol. 49 (Elsevier, 2014), pp. 219–286

    Google Scholar 

  15. D. Kniveton, C. Smith, S. Wood, Agent-based model simulations of future changes in migration flows for Burkina Faso. Global Environ. Change 21, S34–S40 (2011)

    Article  Google Scholar 

  16. S. Moss, C. Pahl-Wostl, T. Downing, Agent-based integrated assessment modelling: the example of climate change. Integr. Assess. 2(1), 17–30 (2001)

    Article  Google Scholar 

  17. L.G. Nardin, G. Andrighetto, R. Conte, Á. Székely, D. Anzola, C. Elsenbroich, U. Lotzmann, M. Neumann, V. Punzo, K.G. Troitzsch, Simulating protection rackets: a case study of the Sicilian Mafia. Auton. Agents Multi-Agent Syst. 30(6), 1117–1147 (2016)

    Article  Google Scholar 

  18. A.S. Rao, M.P. Georgeff et al., BDI agents: from theory to practice. ICMAS 95, 312–319 (1995)

    Google Scholar 

  19. J.W. Smith, D.H. Anderson, R.L. Moore, Social capital, place meanings, and perceived resilience to climate change. Rural Sociol. 77(3), 380–407 (2012)

    Article  Google Scholar 

  20. A. Soboll, J. Schmude, Simulating tourism water consumption under climate change conditions using agent-based modeling: the example of ski areas. Ann. Assoc. Am. Geograph. 101(5), 1049–1066 (2011)

    Article  Google Scholar 

  21. C. Troost, T. Berger, Dealing with uncertainty in agent-based simulation: farm-level modeling of adaptation to climate change in southwest germany. Am. J. Agric. Econ. 97(3), 833–854 (2014)

    Article  Google Scholar 

  22. H.B. Truelove, A.R. Carrico, L. Thabrew, A socio-psychological model for analyzing climate change adaptation: A case study of Sri Lankan paddy farmers. Global Environ. Change 31, 85–97 (2015)

    Article  Google Scholar 

  23. I. Uhl, E. Jonas, J. Klackl, When climate change information causes undesirable side effects: the influence of environmental self-identity and biospheric values on threat responses/cuando la información sobre el cambio climático tiene efectos indeseados: la influencia de la identidad ambiental y de los valores biosféricos en la respuesta ante una amenaza. Psyecology 7(3), 307–334 (2016)

    Article  Google Scholar 

  24. I. Uhl, J. Klackl, N. Hansen, E. Jonas, Undesirable effects of threatening climate change information: a cross-cultural study. Group Process. Intergroup Relat. 21(3), 513–529 (2018)

    Article  Google Scholar 

  25. P. Valkering, D. Tabara, P. Wallman, A. Offermans, Modelling cultural and behavioural change in water management: an integrated, agent based, gaming approach. Integr. Assess. 9(1), (2009)

    Google Scholar 

  26. E. Van der Werff, L. Steg, K. Keizer, The value of environmental self-identity: the relationship between biospheric values, environmental self-identity and environmental preferences, intentions and behaviour. J. Environ. Psychol. 34, 55–63 (2013)

    Article  Google Scholar 

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Correspondence to Marie L. Kapeller .

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Kapeller, M.L., Jäger, G., Füllsack, M. (2021). Social Norms and the Threat of Climate Change: An Agent-Based Model to Investigate Pro-Environmental Behaviour. In: Ahrweiler, P., Neumann, M. (eds) Advances in Social Simulation. ESSA 2019. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-61503-1_42

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