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An Empirical Study of Worldwide Plastic Waste Mitigation

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Edge Computing and IoT: Systems, Management and Security (ICECI 2022)

Abstract

In this paper, we refine the global target for the minimum achievable level of global single-use or disposable plastic product waste in 2030. Specifically, we first propose the model, MPMV, that estimates the Maximum Volume of single-use or disposable Plastic product waste that can safely be Mitigated without further environmental damage. Then, we design a three-level evaluation system for Plastic waste Mitigation Capacity, PMC, to investigate the minimal achievable level of global waste of single-use or disposable plastic products. Thereafter, we propose a target for the minimum achievable level of global waste of single-use or disposable plastic products in 2030 via perturbing the indicators in the PMC model, i.e., increasing the PMC curve to 0.6 by 2030. Finally, we put forward the SPMV (Suggested Plastics Mitigation Volume) model via combining MPMV and PMC models, to ensure the equity of task distribution of plastic waste reduction among countries. At last, we evaluate the performance of the proposed models via selecting thirteen countries with different levels of development, i.e., United States, Germany, India, Philippines, Vietnam, Canada, Yemen, Japan, Brazil, Chilie, Cuba, Singapore, and Italy.

This work was supported in part by Natural Science Foundation of Ningbo (2021J233), in part by the 2022 Ningbo philosophy and Social Sciences Planning Project (G2022-2-76), in part by Zhejiang philosophy and Social Sciences Planning Project (23NDJC049Z).

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Acknowledgement

This paper is was supported in part by 2022 Ningbo philosophy and Social Sciences Planning Project (G2022-2-76), in part by the Natural Science Foundation of Ningbo (2021J233), in part by the 2021 Zhejiang philosophy and Social Sciences Planning Project (21NDJC168YB).

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Correspondence to Niu Guiqian .

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Zhonglin, W., Guiqian, N. (2023). An Empirical Study of Worldwide Plastic Waste Mitigation. In: Xiao, Z., Zhao, P., Dai, X., Shu, J. (eds) Edge Computing and IoT: Systems, Management and Security. ICECI 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 478. Springer, Cham. https://doi.org/10.1007/978-3-031-28990-3_13

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  • DOI: https://doi.org/10.1007/978-3-031-28990-3_13

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