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When and for whom would e-waste be a treasure trove? Insights from a network equilibrium model of e-waste flows

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  • Wakolbinger, Tina
  • Toyasaki, Fuminori
  • Nowak, Thomas
  • Nagurney, Anna

Abstract

Electrical and electronic equipment waste (e-waste) is growing fast. Due to its potential economic value as well as its possible negative impacts on the environment, tracing e-waste flow is a major concern for stakeholders of e-waste management. Especially, whether or not adequate amounts of electrical and electronic equipment waste (WEEE) flow into the designed recycling systems is a fundamental issue for sustainable operations. In this paper, we analyze how technical, market, and legislative factors influence the total amount of e-waste that is collected, recycled, exported and (legally and illegally) disposed off. We formulate the e-waste network flow model as a variational inequality problem. The results of the numerical examples highlight the importance of considering the interaction between the supply and the demand side for precious materials in policy-decisions. Low collection rates of e-waste lead to low profits for stakeholders and make it difficult to establish sustainable recycling operations. Increasing WEEE collection rates increases recyclers׳ profits; however, it only increases smelters׳ profits up to a certain limit, after which smelters cannot benefit further due to limited demand for precious materials. Furthermore, the results emphasize the importance of establishing international control regimes for WEEE flows and reveal possible negative consequences of the recent trend of dematerialization. More precisely, product dematerialization tends to decrease recyclers׳ and smelters׳ profits as well as to increase the outflow of e-waste from the designated recycling system.

Suggested Citation

  • Wakolbinger, Tina & Toyasaki, Fuminori & Nowak, Thomas & Nagurney, Anna, 2014. "When and for whom would e-waste be a treasure trove? Insights from a network equilibrium model of e-waste flows," International Journal of Production Economics, Elsevier, vol. 154(C), pages 263-273.
    • Handle: RePEc:eee:proeco:v:154:y:2014:i:c:p:263-273
    DOI: 10.1016/j.ijpe.2014.04.025
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    Cited by:

    1. Patricia Guarnieri & Lucio Camara e Silva & Bárbara de Oliveira Vieira, 2020. "How to Assess Reverse Logistics of e-Waste Considering a Multicriteria Perspective? A Model Proposition," Logistics, MDPI, vol. 4(4), pages 1-31, October.
    2. E. Allevi & A. Gnudi & I. V. Konnov & G. Oggioni, 2018. "Evaluating the effects of environmental regulations on a closed-loop supply chain network: a variational inequality approach," Annals of Operations Research, Springer, vol. 261(1), pages 1-43, February.
    3. Ming Zhang & Jianjun Zhu & Hehua Wang & Pei Liu, 2019. "Evolutionary Game Analysis on Strategies in “Main Manufacturer–Supplier” Mode Considering Technology Docking and Price Concluding under Competition Condition," Mathematics, MDPI, vol. 7(12), pages 1-25, December.
    4. Patricia Rogetzer & Lena Silbermayr & Werner Jammernegg, 2018. "Sustainable sourcing of strategic raw materials by integrating recycled materials," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 421-451, September.
    5. Xu, Xun & Zeng, Shuo & He, Yuanjie, 2017. "The influence of e-services on customer online purchasing behavior toward remanufactured products," International Journal of Production Economics, Elsevier, vol. 187(C), pages 113-125.
    6. Lee, Hsiao-Hui & Nunez, Manuel & Cruz, Jose, 2018. "Competition for limited critical resources and the adoption of environmentally sustainable strategies," European Journal of Operational Research, Elsevier, vol. 264(3), pages 1130-1143.
    7. Saberi, Sara & Cruz, Jose M. & Sarkis, Joseph & Nagurney, Anna, 2018. "A competitive multiperiod supply chain network model with freight carriers and green technology investment option," European Journal of Operational Research, Elsevier, vol. 266(3), pages 934-949.
    8. Zhaobo Chen & Chunying Tian & Ding Zhang & Dongyan Chen, 2020. "Dynamic model of a supply chain network with sticky price," Operational Research, Springer, vol. 20(2), pages 649-670, June.

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