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

• We assess the network properties of the global trade of waste metals. • We study the distribution of material and monetary flows across trading countries. • The FCI captures material and monetary trade circulation due to network structure. • Network methods can support the study of the equity dimension in trade ecosystems. • Network methods can inform circular economy policies about trading patterns. 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.

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Publication Details

Journal
Resources Conservation and Recycling
Published
2024-10-18
DOI
https://doi.org/10.1016/j.resconrec.2024.107958
Citations
6
Primary Topic
Sustainability and Ecological Systems Analysis
Type
article
Field-Weighted Citation Impact
1.23

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article

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

Martin de Jong, Dominik Noll, Hao Huang, Alexandros Stefanakis et al.
6 citations
Resources Conservation and Recycling
Sustainability and Ecological Systems Analysis
1.23
article

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

Martin de Jong, Dominik Noll, Hao Huang, Alexandros Stefanakis, Filippos K. Zisopoulos, Simron Jit Singh, Benjamin Steuer, Şerban Scrieciu, Brian D. Fath, Daan F. J. Schraven, Susana Toboso‐Chavero, O. Grant Clark
article en
6 citations

Abstract

• We assess the network properties of the global trade of waste metals. • We study the distribution of material and monetary flows across trading countries. • The FCI captures material and monetary trade circulation due to network structure. • Network methods can support the study of the equity dimension in trade ecosystems. • Network methods can inform circular economy policies about trading patterns. 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.

Resources Conservation and RecyclingVol. 212
International Institute for Applied Systems Analysis (AT), University of Waterloo (CA), Hong Kong University of Science and Technology (HK), Princeton University (US), Masaryk University (CZ), University of Évora (PT), Fudan University (CN), Towson University (US), University College London (GB), McGill University (CA), Technical University of Crete (GR), University of Hong Kong (HK), Erasmus University Rotterdam (NL), Delft University of Technology (NL)
Princeton University, National Natural Science Foundation of China, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Vereniging Trustfonds Erasmus Universiteit Rotterdam, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 23%
Sustainability and Ecological Systems Analysis
1.23
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