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China has established a government recycling fund system based on the principle of extended producer responsibility (EPR). The principle of EPR is the key to the sustainable development of waste electrical and electronic equipment (WEEE) recycling. The implementation of the recycling fund system has been facing major problems. This article proposes a plan on refining the producer's recycling target to improve the current fund system in China. With the aim to maximize the amount of WEEE recycling, minimize the overall producer's recycling cost, and providing the best supports to the recycling industry, a multi-objective decision-making model is constructed to identify the optimum producer's recycling target for WEEE. Data from the recycling fund system and EPR pilot project of the Ministry of Industry and Information Technology are used to test the model. The results show that, under the condition that the amount of recycling is equal to the current level, the levy of recycling fund can be reduced by 20%, which can effectively drive the producers to take more responsibility in the collection and recycling of their end-of-life products. The multi-objective decision-making model for producer's recycling target provides a basis for the adjustment of China's WEEE recycling fund system policy, which will alleviate the challenge at present, and involve more producers to devote in collection systems. It also shows the alternative solution for EPR in non-fund business models in the recycling industry.


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Improving the WEEE recycling fund system in China: Multi-objective decision-making model based on EPR system

Show Author's information Gangyi ZhangaHui Tianb( )Hongyi LiucAjoy RaychaudhuridYi Caib
School of Computer, Beijing University of Posts and Telecommunications, Beijing 100876, China
China Household Electric Appliance Research Institute, Beijing 100037, China
School of Mathematics, Fudan University, Shanghai 200433, China
Battery Foundation International, New Delhi 110017, India

Abstract

China has established a government recycling fund system based on the principle of extended producer responsibility (EPR). The principle of EPR is the key to the sustainable development of waste electrical and electronic equipment (WEEE) recycling. The implementation of the recycling fund system has been facing major problems. This article proposes a plan on refining the producer's recycling target to improve the current fund system in China. With the aim to maximize the amount of WEEE recycling, minimize the overall producer's recycling cost, and providing the best supports to the recycling industry, a multi-objective decision-making model is constructed to identify the optimum producer's recycling target for WEEE. Data from the recycling fund system and EPR pilot project of the Ministry of Industry and Information Technology are used to test the model. The results show that, under the condition that the amount of recycling is equal to the current level, the levy of recycling fund can be reduced by 20%, which can effectively drive the producers to take more responsibility in the collection and recycling of their end-of-life products. The multi-objective decision-making model for producer's recycling target provides a basis for the adjustment of China's WEEE recycling fund system policy, which will alleviate the challenge at present, and involve more producers to devote in collection systems. It also shows the alternative solution for EPR in non-fund business models in the recycling industry.

Keywords: Extended producer responsibility (EPR), WEEE, Producer recycling target, Multi-objective decision-making model

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Publication history

Received: 01 December 2022
Revised: 20 March 2023
Accepted: 21 March 2023
Published: 11 April 2023
Issue date: June 2023

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© 2023 The Author(s).

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Acknowledgements

This work was supported by the National Key R&D Program of China under Grant 2022YFB3305801. We thank all the producers and recycling plants for participating in the survey for this paper and sharing their insights on the development of the EPR system.

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This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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