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A Transformer-Based Machine Learning Approach for Sustainable E-Waste Management: A Comparative Policy Analysis between the Swiss and Canadian Systems

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  • Saidia Ali

    (Ted Rogers School of Information Technology Management, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada)

  • Farid Shirazi

    (Ted Rogers School of Information Technology Management, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada)

Abstract

Efficient e-waste management is crucial to successfully achieve sustainable urban growth universally. The upsurge in e-waste has resulted in countries, including Canada, adopting a wide array of policies associated with sustainable management. In this study, we conducted a mixed-method analysis of Canadian e-waste management policies to showcase the opportunities and limitations of the current system. We examine and compare the effectiveness of electronic waste management strategies in Canada and Switzerland using a comparative policy evaluation and by quantitatively measuring their efficiencies through two efficiency methods, namely a transformer-based, bidirectional, unsupervised machine learning model for natural language processing (NLP) and data envelopment analysis (DEA). Switzerland is utilized as a comparison case due to its robust legal framework that has been in place for proper management e-waste in order to enhance Canada’s electronic waste management system. The policy considerations presented in this study are directed toward urban planners, policy makers, and corporate strategists. These involve a mix of political, economic, social, and environmental planning tools concerning how to communicate and foster competent e-waste management in these countries. This is the first study to incorporate DEA and NLP-based BERT analysis to identify the most efficient policy deployment concerning e-waste management.

Suggested Citation

  • Saidia Ali & Farid Shirazi, 2022. "A Transformer-Based Machine Learning Approach for Sustainable E-Waste Management: A Comparative Policy Analysis between the Swiss and Canadian Systems," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13220-:d:942517
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    1. H. David Sherman & Joe Zhu, 2006. "Service Productivity Management," Springer Books, Springer, number 978-0-387-33231-4, July.
    2. Umair, Shakila & Björklund, Anna & Petersen, Elisabeth Ekener, 2015. "Social impact assessment of informal recycling of electronic ICT waste in Pakistan using UNEP SETAC guidelines," Resources, Conservation & Recycling, Elsevier, vol. 95(C), pages 46-57.
    3. Yong-bae Ji & Choonjoo Lee, 2010. "Data envelopment analysis," Stata Journal, StataCorp LP, vol. 10(2), pages 267-280, June.
    4. Maria Triassi & Rossella Alfano & Maddalena Illario & Antonio Nardone & Oreste Caporale & Paolo Montuori, 2015. "Environmental Pollution from Illegal Waste Disposal and Health Effects: A Review on the “Triangle of Death”," IJERPH, MDPI, vol. 12(2), pages 1-21, January.
    5. Zhenghong Tang & Samuel Brody & Courtney Quinn & Liang Chang & Ting Wei, 2010. "Moving from agenda to action: evaluating local climate change action plans," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 53(1), pages 41-62.
    6. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    8. Vaverková, Magdalena Daria & Maxianová, Alžbeta & Winkler, Jan & Adamcová, Dana & Podlasek, Anna, 2019. "Environmental consequences and the role of illegal waste dumps and their impact on land degradation," Land Use Policy, Elsevier, vol. 89(C).
    9. Garth T. Hickle, 2013. "Comparative Analysis of Extended Producer Responsibility Policy in the United States and Canada," Journal of Industrial Ecology, Yale University, vol. 17(2), pages 249-261, April.
    10. Carlos Scheel & Eduardo Aguiñaga & Bernardo Bello, 2020. "Decoupling Economic Development from the Consumption of Finite Resources Using Circular Economy. A Model for Developing Countries," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    11. Mudd, Gavin M., 2010. "The Environmental sustainability of mining in Australia: key mega-trends and looming constraints," Resources Policy, Elsevier, vol. 35(2), pages 98-115, June.
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    Cited by:

    1. Despotovic, Miroslav & Glatschke, Matthias, 2024. "Challenges and Opportunities of Artificial Intelligence and Machine Learning in Circular Economy," SocArXiv 6qmhf, Center for Open Science.
    2. Hilal Shams & Altaf Hossain Molla & Mohd Nizam Ab Rahman & Hawa Hishamuddin & Zambri Harun & Nallapaneni Manoj Kumar, 2023. "Exploring Industry-Specific Research Themes on E-Waste: A Literature Review," Sustainability, MDPI, vol. 15(16), pages 1-22, August.

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