IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i5p458-d69665.html
   My bibliography  Save this article

Visual Prompts or Volunteer Models: An Experiment in Recycling

Author

Listed:
  • Zi Yin Lin

    (Sustainable Behaviour Research Group, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China)

  • Xiao Wang

    (Sustainable Behaviour Research Group, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China)

  • Chang Jun Li

    (Sustainable Behaviour Research Group, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China)

  • Micheil P. R. Gordon

    (Sustainable Behaviour Research Group, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
    Values and Sustainability Research Group, University of Brighton, Watts Building, Lewes Road, Brighton BN2 4GJ, UK)

  • Marie K. Harder

    (Sustainable Behaviour Research Group, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
    Values and Sustainability Research Group, University of Brighton, Watts Building, Lewes Road, Brighton BN2 4GJ, UK)

Abstract

Successful long-term programs for urban residential food waste sorting are very rare, despite the established urgent need for them in cities for waste reduction, pollution reduction and circular resource economy reasons. This study meets recent calls to bridge policy makers and academics, and calls for more thorough analysis of operational work in terms of behavioral determinants, to move the fields on. It takes a key operational element of a recently reported successful food waste sorting program—manning of the new bins by volunteers—and considers the behavioral determinants involved in order to design a more scalable and cheaper alternative—the use of brightly colored covers with flower designs on three sides of the bin. The two interventions were tested in a medium-scale, real-life experimental set-up that showed that they had statistically similar results: high effective capture rates of 32%–34%, with low contamination rates. The success, low cost and simple implementation of the latter suggests it should be considered for large-scale use. Candidate behavioral determinants are prompts, emotion and knowledge for the yellow bin intervention, and for the volunteer intervention they are additionally social influence, modeling, role clarification, and moderators of messenger type and interpersonal or tailored messaging.

Suggested Citation

  • Zi Yin Lin & Xiao Wang & Chang Jun Li & Micheil P. R. Gordon & Marie K. Harder, 2016. "Visual Prompts or Volunteer Models: An Experiment in Recycling," Sustainability, MDPI, vol. 8(5), pages 1-16, May.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:5:p:458-:d:69665
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/5/458/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/8/5/458/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Delmas, Magali A. & Fischlein, Miriam & Asensio, Omar I., 2013. "Information strategies and energy conservation behavior: A meta-analysis of experimental studies from 1975 to 2012," Energy Policy, Elsevier, vol. 61(C), pages 729-739.
    2. Secondi, Luca & Principato, Ludovica & Laureti, Tiziana, 2015. "Household food waste behaviour in EU-27 countries: A multilevel analysis," Food Policy, Elsevier, vol. 56(C), pages 25-40.
    3. Dai, Y.C. & Gordon, M.P.R. & Ye, J.Y. & Xu, D.Y. & Lin, Z.Y. & Robinson, N.K.L. & Woodard, R. & Harder, M.K., 2015. "Why doorstepping can increase household waste recycling," Resources, Conservation & Recycling, Elsevier, vol. 102(C), pages 9-19.
    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. Ben Ma & Yixuan Jiang, 2022. "Domestic Waste Classification Behavior and Its Deviation from Willingness: Evidence from a Random Household Survey in Beijing," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    2. Lucas, Benjamin & Francu, R. Elena & Goulding, James & Harvey, John & Nica-Avram, Georgiana & Perrat, Bertrand, 2021. "A Note on Data-driven Actor-differentiation and SDGs 2 and 12: Insights from a Food-sharing App," Research Policy, Elsevier, vol. 50(6).
    3. Yihan Zhao & Rong Chen & Mitsuyasu Yabe & Buxin Han & Pingping Liu, 2021. "I Am Better Than Others: Waste Management Policies and Self-Enhancement Bias," Sustainability, MDPI, vol. 13(23), pages 1-19, November.
    4. Changjun Li & Firooz Firoozmand & Marie K. Harder, 2021. "The Impacts of Shanghai’s July 2019 Municipal Domestic Waste Management Regulations on Energy Production," Energies, MDPI, vol. 14(22), pages 1-13, November.
    5. Sarah Verdonk & Keri Chiveralls & Drew Dawson, 2017. "Getting Wasted at WOMADelaide: The Effect of Signage on Waste Disposal," Sustainability, MDPI, vol. 9(3), pages 1-17, February.
    6. Kiriaki M. Keramitsoglou & Konstantinos P. Tsagarakis, 2018. "Public Participation in Designing the Recycling Bins to Encourage Recycling," Sustainability, MDPI, vol. 10(4), pages 1-17, April.

    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. Thanos Ioannou & Katerina Bazigou & Afroditi Katsigianni & Michalis Fotiadis & Christina Chroni & Thrassyvoulos Manios & Ioannis Daliakopoulos & Christos Tsompanidis & Eleni Michalodimitraki & Katia L, 2022. "The “A2UFood Training Kit”: Participatory Workshops to Minimize Food Loss and Waste," Sustainability, MDPI, vol. 14(4), pages 1-24, February.
    2. Chatzigeorgiou, I.M. & Andreou, G.T., 2021. "A systematic review on feedback research for residential energy behavior change through mobile and web interfaces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Schleich, Joachim & Alsheimer, Sven, 2024. "The relationship between willingness to pay and carbon footprint knowledge: Are individuals willing to pay more to offset their carbon footprint if they learn about its size and distance to the 1.5 °C," Ecological Economics, Elsevier, vol. 219(C).
    4. Luca Secondi, 2019. "Expiry Dates, Consumer Behavior, and Food Waste: How Would Italian Consumers React If There Were No Longer “Best Before” Labels?," Sustainability, MDPI, vol. 11(23), pages 1-15, December.
    5. Thøgersen, John, 2017. "Housing-related lifestyle and energy saving: A multi-level approach," Energy Policy, Elsevier, vol. 102(C), pages 73-87.
    6. Neagoe Iulia Elena & Grădinaru Giani, 2024. "Technological Strategies for Reducting Food Waste," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 43-56.
    7. Danilo Bertoni & Daniele Cavicchioli & Franco Donzelli & Giovanni Ferrazzi & Dario G. Frisio & Roberto Pretolani & Elena Claire Ricci & Vera Ventura, 2018. "Recent Contributions of Agricultural Economics Research in the Field of Sustainable Development," Agriculture, MDPI, vol. 8(12), pages 1-20, December.
    8. Chen Liu & Trung Thang Nguyen, 2020. "Evaluation of Household Food Waste Generation in Hanoi and Policy Implications towards SDGs Target 12.3," Sustainability, MDPI, vol. 12(16), pages 1-20, August.
    9. Azzurra Annunziata & Massimiliano Agovino & Aniello Ferraro & Angela Mariani, 2020. "Household Food Waste: A Case Study in Southern Italy," Sustainability, MDPI, vol. 12(4), pages 1-13, February.
    10. Cattaneo, Cristina & D’Adda, Giovanna & Tavoni, Massimo & Bonan, Jacopo, 2019. "Can We Make Social Information Programs More Effective? The Role of Identity and Values," RFF Working Paper Series 19-21, Resources for the Future.
    11. Johanna Choumert & Pascale Combes Motel & Charlain Guegang Djimeli, 2017. "The biofuel-development nexus: A meta-analysis," CERDI Working papers halshs-01512678, HAL.
    12. Weber, Sylvain & Puddu, Stefano & Pacheco, Diana, 2017. "Move it! How an electric contest motivates households to shift their load profile," Energy Economics, Elsevier, vol. 68(C), pages 255-270.
    13. Phu Nguyen-Van & Anne Stenger & Tuyen Tiet, 2021. "Social incentive factors in interventions promoting sustainable behaviors: A meta-analysis," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-27, December.
    14. Lingfei Wang & Yuqin Yang & Guoyan Wang, 2022. "The Clean Your Plate Campaign: Resisting Table Food Waste in an Unstable World," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    15. Hancong Ma & Mei Li & Xin Tong & Ping Dong, 2023. "Community-Level Household Waste Disposal Behavior Simulation and Visualization under Multiple Incentive Policies—An Agent-Based Modelling Approach," Sustainability, MDPI, vol. 15(13), pages 1-15, July.
    16. Marek Zborowski & Anna Mikulec, 2022. "Dietary Catering: The Perfect Solution for Rational Food Management in Households," Sustainability, MDPI, vol. 14(15), pages 1-10, July.
    17. Choumert Nkolo, Johanna & Combes Motel, Pascale & Guegang Djimeli, Charlain, 2018. "Income-generating Effects of Biofuel Policies: A Meta-analysis of the CGE Literature," Ecological Economics, Elsevier, vol. 147(C), pages 230-242.
    18. Vesterberg, Mattias, 2017. "Power to the people: Electricity demand and household behavior," Umeå Economic Studies 942, Umeå University, Department of Economics.
    19. Schultz, P. Wesley & Estrada, Mica & Schmitt, Joseph & Sokoloski, Rebecca & Silva-Send, Nilmini, 2015. "Using in-home displays to provide smart meter feedback about household electricity consumption: A randomized control trial comparing kilowatts, cost, and social norms," Energy, Elsevier, vol. 90(P1), pages 351-358.
    20. Papineau, Maya & Rivers, Nicholas, 2022. "Experimental evidence on heat loss visualization and personalized information to motivate energy savings," Journal of Environmental Economics and Management, Elsevier, vol. 111(C).

    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:gam:jsusta:v:8:y:2016:i:5:p:458-:d:69665. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.