Assuming the Best: Individual Differences in Compensatory “Green” Beliefs Predict Susceptibility to the Negative Footprint Illusion

Recent years have seen a marked increase in carbon emissions despite pledges made by the international community at the Paris Accord in 2015 to reduce fossil fuel production and consumption. Rebound effects could contribute to this phenomenon as, in which attempts to curb carbon emissions might have inadvertently led to an upswing in fossil fuel usage. The present study hypothesizes that rebound effects are driven by a misapplication of compensatory balancing heuristics, with the unintended outcome of producing inaccurate estimates of the environmental impact of “green” or environmentally friendly labelled products or behaviors. The present study therefore aims to investigate the relationship between participants’ degree of compensatory thinking (e.g., “Recycling compensates for driving a car”) and their susceptibility to the Negative Footprint Illusion, a widely replicated phenomenon demonstrating that the presence of “green” products biases carbon footprint estimations. One hundred and twelve participants were asked to complete a 15-item Compensatory Green Beliefs scale and to estimate the total carbon footprint of a set of 15 conventional houses, followed by a set that included 15 “green” houses in addition to 15 conventional houses. Results indicated that participants, on average, believed that the “green” houses were carbon neutral, and that susceptibility to the Negative Footprint Illusion was predicted by performance on the Compensatory Green Beliefs scale. This is the first study confirming that individual differences in cognitive processes (i.e., Compensatory Green Beliefs) are indeed related to inaccurate estimates of “green” products, providing a foundation for further investigation of the influence of “green” and compensatory beliefs on carbon footprint estimates.

[1]  Florian Fiebelkorn,et al.  Environmental impact judgments of meat, vegetarian, and insect burgers: Unifying the negative footprint illusion and quantity insensitivity , 2019 .

[2]  O. Eriksson,et al.  Deceptive sustainability: Cognitive bias in people's judgment of the benefits of CO2 emission cuts , 2019, Journal of Environmental Psychology.

[3]  B. Ritchie,et al.  Can message framings influence air passengers’ perceived credibility of aviation voluntary carbon offsetting messages? , 2019, Journal of Sustainable Tourism.

[4]  S. Seneviratne,et al.  Concerns of young protesters are justified , 2019, Science.

[5]  Patrik Sörqvist,et al.  Why People Harm the Environment Although They Try to Treat It Well: An Evolutionary-Cognitive Perspective on Climate Compensation , 2019, Front. Psychol..

[6]  K. Trenberth,et al.  2018 Continues Record Global Ocean Warming , 2019, Advances in Atmospheric Sciences.

[7]  Jonathon P. Schuldt,et al.  Judging the environmental impact of green consumption: Evidence of quantity insensitivity , 2018, Journal of Environmental Psychology.

[8]  Patrik Sörqvist,et al.  When A+B < A: Cognitive Bias in Experts’ Judgment of Environmental Impact , 2018, Front. Psychol..

[9]  Andreas Haga Eco-Label Effects in the Built Environment: Does Labeling a Light Source Environmentally Friendly Influence Performance and Judgment? , 2018 .

[10]  R. Motta,et al.  Voluntary carbon credits from improved forest management: Policy guidelines and case study , 2018 .

[11]  D Masters,et al.  Climate-change–driven accelerated sea-level rise detected in the altimeter era , 2018, Proceedings of the National Academy of Sciences.

[12]  Hanna Andersson,et al.  Averaging bias in environmental impact estimates: Evidence from the negative footprint illusion , 2018 .

[13]  S. Dolnicar,et al.  Improving carbon offsetting appeals in online airplane ticket purchasing: testing new messages, and using new test methods , 2017, Marketing for Sustainable Tourism.

[14]  Bert Weijters,et al.  The negative footprint illusion: Perceptual bias in sustainable food consumption , 2016 .

[15]  Patrik Sörqvist,et al.  The green halo: Mechanisms and limits of the eco-label effect , 2015 .

[16]  Thomas Llewelyn Webb,et al.  Using Public Transport Can Make Up for Flying Abroad on Holiday , 2015 .

[17]  Cedric O. Puleston,et al.  Can carbon credits fund riparian forest restoration? , 2015 .

[18]  Jennifer Wiley,et al.  What Are the Odds? A Practical Guide to Computing and Reporting Bayes Factors , 2014, J. Probl. Solving.

[19]  Patrik Sörqvist,et al.  Who Needs Cream and Sugar When There Is Eco-Labeling? Taste and Willingness to Pay for “Eco-Friendly” Coffee , 2013, PloS one.

[20]  R. Gifford The dragons of inaction: psychological barriers that limit climate change mitigation and adaptation. , 2011, The American psychologist.

[21]  David Gal,et al.  Categorization Effects in Value Judgments: Averaging Bias in Evaluating Combinations of Vices and Virtues , 2010 .

[22]  D. Liverman,et al.  Carbon Offsetting: Sustaining Consumption? , 2009 .

[23]  N. Gunningham Mobilising Civil Society: Can the Climate Movement Achieve Transformational Social Change , 2018 .

[24]  Donald J. Wuebbles,et al.  Climate Science Special Report: Fourth National Climate Assessment, Volume I , 2017 .

[25]  S. Sorrell The rebound effect: an assessment of the evidence for economy-wide energy savings from improved energy efficiency , 2007 .