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Inequities blocking the path to circular economies: A bio-inspired network-based approach for assessing the sustainability of the global trade of waste metals

  • Filippos K. Zisopoulos*
  • , Brian D. Fath
  • , Susana Toboso-Chavero
  • , Hao Huang
  • , Daan Schraven
  • , Benjamin Steuer
  • , Alexandros Stefanakis
  • , O. Grant Clark
  • , Serban Scrieciu
  • , Simron Singh
  • , Dominik Noll
  • , Martin de Jong
  • *Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

Abstract

Considering the importance of waste metals for the transition to circular economies, this study follows a bio-inspired approach to evaluate their material and monetary global trade patterns for sustainability and equity. Between 2000 and 2022, the global trade grew by 5 % in trading countries, by 37 % in trade links, by 71 % in material flows, and by 569 % in economic flows. Driven by indirect effects, the average circulation of material and monetary flows ranged between 21.8–34.9 % depending on the demand or supply perspective but showed a declining trend. Due to homogenization, high network redundancy, and low network efficiency the trade remained robust yet outside the "window of vitality" characterizing natural ecosystems. A few, mostly high-income countries dominated the market, consolidating imports of high-value metal waste mostly from low- and middle-income exporters. Policies should address circularity and trade inequities, accounting for environmental and social ramifications throughout the lifecycle of products and materials.

Original languageEnglish
Article number107958
JournalResources, Conservation and Recycling
Volume212
Early online date18 Oct 2024
DOIs
Publication statusPublished - Jan 2025

Bibliographical note

Publisher Copyright:
© 2024 The Authors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Resilience
  • Resource-use efficiency
  • Ecological network analysis
  • Ascendency analysis
  • Bio-inspired design
  • Waste trade

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