IDEAS home Printed from https://ideas.repec.org/p/uea/ueaeco/2022-06.html
   My bibliography  Save this paper

The Can Challenge: Understanding the best ways to incentive recycling through a diffusion approach

Author

Listed:
  • Michael Brock

    (School of Economics, University of East Anglia)

  • Lucia Milena Murgia

    (Norwich Business School, University of East Anglia)

  • Stefania Sitzia

    (School of Economics, University of East Anglia)

  • Jiwei Zheng

    (University of Lancaster)

Abstract

Understanding the best ways to incentive recycling and improve the efficiency of waste practices is a key environmental, social and economic management problem that needs addressing. We search for solutions to this issue by implementing a field experiment with two incentive mechanisms (a piece-rate and a lottery-based systems) in three different locations; a residential, a workplace and a student environment. We model our experimental data with the Bass Model, which to the best of our knowledge has never been employed to analyse experimental data and to gather a deeper understanding of the diffusion process among individuals adopting the recycling service. Our results indicate a high degree of heterogeneity across our trial locations. Incentivising recycling can stimulate action by those on lower incomes through opportunities for income generation. By contrast, those in workplace environments engage with or without incentives, but the latter does seem to boost activity. Our study contributes to the literature by providing evidence on how to best increase public involvement through recycling and provides important insights for policy making to address this worldwide relevant issue.

Suggested Citation

  • Michael Brock & Lucia Milena Murgia & Stefania Sitzia & Jiwei Zheng, 2022. "The Can Challenge: Understanding the best ways to incentive recycling through a diffusion approach," University of East Anglia School of Economics Working Paper Series 2022-06, School of Economics, University of East Anglia, Norwich, UK..
  • Handle: RePEc:uea:ueaeco:2022-06
    as

    Download full text from publisher

    File URL: https://ueaeco.github.io/working-papers/papers/ueaeco/UEA-ECO-2022-06.pdf
    File Function: main text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Barr, Stewart & Shaw, Gareth & Coles, Tim & Prillwitz, Jan, 2010. "‘A holiday is a holiday’: practicing sustainability, home and away," Journal of Transport Geography, Elsevier, vol. 18(3), pages 474-481.
    2. Davis, Douglas D & Reilly, Robert J, 1998. "Do Too Many Cooks Always Spoil the Stew? An Experimental Analysis of Rent-Seeking and the Role of a Strategic Buyer," Public Choice, Springer, vol. 95(1-2), pages 89-115, April.
    3. Adekunle Oke, 2015. "Workplace Waste Recycling Behaviour: A Meta-Analytical Review," Sustainability, MDPI, vol. 7(6), pages 1-20, June.
    4. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    5. Fuller, Donald A., 1978. "Recycling consumer solid waste: A commentary on selected channel alternatives," Journal of Business Research, Elsevier, vol. 6(1), pages 17-31, January.
    Full references (including those not matched with items on IDEAS)

    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. Oscar Gutiérrez & Francisco Ruiz-Aliseda, 2011. "Real options with unknown-date events," Annals of Finance, Springer, vol. 7(2), pages 171-198, May.
    2. Shari, Babajide Epe & Dioha, Michael O. & Abraham-Dukuma, Magnus C. & Sobanke, Victor O. & Emodi, Nnaemeka V., 2022. "Clean cooking energy transition in Nigeria: Policy implications for Developing countries," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 319-343.
    3. Cambier, Adrien & Chardy, Matthieu & Figueiredo, Rosa & Ouorou, Adam & Poss, Michael, 2022. "Optimizing subscriber migrations for a telecommunication operator in uncertain context," European Journal of Operational Research, Elsevier, vol. 298(1), pages 308-321.
    4. Tiruwork B. Tibebu & Eric Hittinger & Qing Miao & Eric Williams, 2024. "Adoption Model Choice Affects the Optimal Subsidy for Residential Solar," Energies, MDPI, vol. 17(3), pages 1-19, February.
    5. Simon P. Anderson & André de Palma, 2012. "Competition for attention in the Information (overload) Age," RAND Journal of Economics, RAND Corporation, vol. 43(1), pages 1-25, March.
    6. Van, Tien Linh Cao & Barthelmes, Lukas & Gnann, Till & Speth, Daniel & Kagerbauer, Martin, 2021. "Addressing the gaps in market diffusion modeling of electrical vehicles: A case study from Germany for the integration of environmental policy measures," Working Papers "Sustainability and Innovation" S05/2021, Fraunhofer Institute for Systems and Innovation Research (ISI).
    7. Bardsley, Nicholas & Büchs, Milena & James, Patrick & Papafragkou, Anastasios & Rushby, Thomas & Saunders, Clare & Smith, Graham & Wallbridge, Rebecca & Woodman, Nicholas, 2019. "Domestic thermal upgrades, community action and energy saving: A three-year experimental study of prosperous households," Energy Policy, Elsevier, vol. 127(C), pages 475-485.
    8. Klingler, Anna-Lena & Luthander, Rasmus, 2018. "Market diffusion of residential PV and battery systems driven by self-consumption: A comparison of Sweden and Germany," Working Papers "Sustainability and Innovation" S18/2018, Fraunhofer Institute for Systems and Innovation Research (ISI).
    9. Edgardo Arturo Ayala Gaytán, 2009. "Social network externalities and price dispersion in online markets," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 1-28, November.
    10. Hoffmann, Magnus & Kolmar, Martin, 2017. "Distributional preferences in probabilistic and share contests," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 120-139.
    11. Régis Chenavaz & Corina Paraschiv & Gabriel Turinici, 2017. "Dynamic Pricing of New Products in Competitive Markets: A Mean-Field Game Approach," Working Papers hal-01592958, HAL.
    12. White, Reilly & Marinakis, Yorgos & Islam, Nazrul & Walsh, Steven, 2020. "Is Bitcoin a currency, a technology-based product, or something else?," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    13. Shigeno, Hidenori & Matsuzaki, Taisuke & Ueki, Yasushi & Tsuji, Masatsugu, 2023. "The Effect of the Covid-19 Pandemic on the Innovation Process of Small and Medium-sized Regional Firms," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 278018, International Telecommunications Society (ITS).
    14. Sohn, So Young & Lim, Michael, 2008. "The effect of forecasting and information sharing in SCM for multi-generation products," European Journal of Operational Research, Elsevier, vol. 186(1), pages 276-287, April.
    15. Day Yang Liu & Wen Chun Tsai & Pei Leen Liu & Chung Yi Fang, 2021. "Determinants of sales revenue in innovation diffusion effects of Taiwan sports lottery during the FIFA World Cup 2018," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(4), pages 43-58, June.
    16. Yoshida, Masayuki & James, Jeffrey D. & Cronin, J. Joseph, 2013. "Sport event innovativeness: Conceptualization, measurement, and its impact on consumer behavior," Sport Management Review, Elsevier, vol. 16(1), pages 68-84.
    17. Marie-Estelle Binet & Lionel Richefort, 2011. "Diffusion of irrigation technologies: the role of mimicking behaviour and public incentives," Applied Economics Letters, Taylor & Francis Journals, vol. 18(1), pages 43-48.
    18. R. Bentley & Michael O’Brien & Paul Ormerod, 2011. "Quality versus mere popularity: a conceptual map for understanding human behavior," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 10(2), pages 181-191, December.
    19. Jingjing Zhao & Yongli Li & Yunlong Ding & Chao Liu, 2019. "The value of leading customers in a crowdfunding-based marketing pattern," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-18, April.
    20. Theoharakis Vasilis & Vakratsas Demetrios & Wong Veronica, 2004. "The Relationship between Market Share and Information in a High-Tech Industry," Review of Marketing Science, De Gruyter, vol. 2(1), pages 1-14, January.

    More about this item

    Keywords

    Recycling Behaviour; Field Experiment; Monetary Incentives; Bass Diffusion Model;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:uea:ueaeco:2022-06. 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: Cara Liggins (email available below). General contact details of provider: https://edirc.repec.org/data/esueauk.html .

    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.