Abstract
As electronic product lifecycles have become shorter, the amount of waste electrical and electronic equipment (WEEE) is increasing. Most of these WEEEs are disposed of in landfills. Therefore, the loss of potential economic value of WEEE and environmental damage caused by WEEE landfill is increasing. To solve this problem, it is necessary to select appropriate end-of-life (EOL) options such as reuse, remanufacture, and recycle. This paper focuses on recycling among WEEE’s EOL options and builds a model to predict the economic and environmental value of WEEE recycling. In addition, for realistic forecasting models, the model used the revenue and cost data of the Chinese mobile phone industry and was divided according to the WEEE collection rate. A case study predicted the economic and environmental value of waste mobile phone (WMP) recycling in China using Chinese WMP prediction data in the prediction model of this paper.
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This work has supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (2021R1F1A1060753).
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Kang, S.W., Quan, Y. (2023). Environmental and Economic Value Prediction of Waste Electrical and Electronic Equipment Recycle Using Reverse Logistics: The Case of China’s Waste Mobile Phones. In: Golinska-Dawson, P., Tsai, KM., Werner-Lewandowska, K. (eds) Smart and Sustainable Supply Chain and Logistics — Challenges, Methods and Best Practices. EcoProduction. Springer, Cham. https://doi.org/10.1007/978-3-031-15412-6_12
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