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Feedback to Minimize Household Waste a Field Experiment in The Netherlands

Author

Listed:
  • Ellen van der Werff

    (Faculty of Behavioural and Social Sciences, University of Groningen, Grote Kruisstraat 2/1, 9712 Groningen, The Netherlands)

  • Chieh-Yu Lee

    (Faculty of Behavioural and Social Sciences, University of Groningen, Grote Kruisstraat 2/1, 9712 Groningen, The Netherlands)

Abstract

Households can reduce environmental problems by minimizing their waste. Studies suggest that feedback may promote waste minimization. We propose that the effectiveness of feedback depends on the standard to which the feedback is compared. We tested the effect of feedback on waste minimization compared to a personal goal (goal comparison feedback), the behaviour of others (social comparison feedback), or one’s past behaviour (historical comparison feedback). Furthermore, the underlying process explaining the effect of feedback on behaviour is yet unclear. We tested the influence of feedback on environmental self-identity, self-efficacy, and descriptive social norms to minimize waste. We conducted a field study in the Netherlands. Households received feedback during six months on the number of residual waste bags they produce. The results show that all intervention groups reduced their number of waste bags including the control group that only received information on how to reduce waste. Yet, a comparison neighbourhood did not reduce their actual waste during the same time period. We did not find clear differences between the different feedback comparison standards. Furthermore, the feedback did not influence any of the process variables. We found that environmental self-identity was most consistently related to self-reported waste behaviours.

Suggested Citation

  • Ellen van der Werff & Chieh-Yu Lee, 2021. "Feedback to Minimize Household Waste a Field Experiment in The Netherlands," Sustainability, MDPI, vol. 13(17), pages 1-21, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:17:p:9610-:d:622529
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    References listed on IDEAS

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    1. Burchell, Kevin & Rettie, Ruth & Roberts, Tom C., 2016. "Householder engagement with energy consumption feedback: the role of community action and communications," Energy Policy, Elsevier, vol. 88(C), pages 178-186.
    2. Stefano De Dominicis & Rebecca Sokoloski & Christine M. Jaeger & P. Wesley Schultz, 2019. "Making the smart meter social promotes long-term energy conservation," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-8, December.
    3. Helen Lingard & Guinevere Gilbert & Peter Graham, 2001. "Improving solid waste reduction and recycling performance using goal setting and feedback," Construction Management and Economics, Taylor & Francis Journals, vol. 19(8), pages 809-817.
    4. Birgitta Gatersleben & Niamh Murtagh & Wokje Abrahamse, 2014. "Values, identity and pro-environmental behaviour," Contemporary Social Science, Taylor & Francis Journals, vol. 9(4), pages 374-392, December.
    5. Faruqui, Ahmad & Sergici, Sanem & Sharif, Ahmed, 2010. "The impact of informational feedback on energy consumption—A survey of the experimental evidence," Energy, Elsevier, vol. 35(4), pages 1598-1608.
    6. McCalley, L. T. & Midden, Cees J. H., 2002. "Energy conservation through product-integrated feedback: The roles of goal-setting and social orientation," Journal of Economic Psychology, Elsevier, vol. 23(5), pages 589-603, October.
    7. Robert Cialdini, 2007. "Descriptive Social Norms as Underappreciated Sources of Social Control," Psychometrika, Springer;The Psychometric Society, vol. 72(2), pages 263-268, June.
    8. Midden, Cees J. H. & Meter, Joanne F. & Weenig, Mieneke H. & Zieverink, Henk J. A., 1983. "Using feedback, reinforcement and information to reduce energy consumption in households: A field-experiment," Journal of Economic Psychology, Elsevier, vol. 3(1), pages 65-86.
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