Systemic risks and cascading dynamics in the global cobalt supply chain

The global transition to low-carbon technologies hinges on secure supplies of critical minerals like cobalt, yet interconnected supply chains are increasingly vulnerable to geopolitical tensions and frequent external disruptions. Existing risk assessments often treat commodities in isolation, overlooking the upstream-downstream dependencies that amplify cascading failures. Here we show systemic risks in global cobalt flows from 1998 to 2019 across 230 countries and regions by integrating trade-linked material flow analysis with a multilayer shock propagation model. Our results reveal that disruptions propagate through alternating horizontal-vertical and direct-indirect pathways, with risk concentrating at the mining stage but accumulating predominantly in refining-manufacturing bridges. These cascades yield abrupt nonlinear failures and an avalanche network four times denser than the underlying physical supply chain. Nations with low systemic fragility but high exposure rate-such as Indonesia, South Africa, and Mexico-are particularly susceptible to common random disruptions and lack resilience or effective response. Over the past two decades, global systemic risks have followed a volatile but upward trend. These findings highlight that national mitigation strategies are necessary but insufficient; achieving resilience requires stage-aware, system-level coordination and multilateral cooperation.

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Publication Details

Journal
Environmental Science and Ecotechnology
Published
2025-12-30
DOI
https://doi.org/10.1016/j.ese.2025.100654
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
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article

Systemic risks and cascading dynamics in the global cobalt supply chain

Chen Wu, L. Liu, Xin Ouyang, Gang Liu et al.
Environmental Science and Ecotechnology
Supply Chain Resilience and Risk Management
article

Systemic risks and cascading dynamics in the global cobalt supply chain

Chen Wu, L. Liu, Xin Ouyang, Gang Liu, Xun Pang, Canfei He, Qiance Liu, Chao Wang
article en

Abstract

The global transition to low-carbon technologies hinges on secure supplies of critical minerals like cobalt, yet interconnected supply chains are increasingly vulnerable to geopolitical tensions and frequent external disruptions. Existing risk assessments often treat commodities in isolation, overlooking the upstream-downstream dependencies that amplify cascading failures. Here we show systemic risks in global cobalt flows from 1998 to 2019 across 230 countries and regions by integrating trade-linked material flow analysis with a multilayer shock propagation model. Our results reveal that disruptions propagate through alternating horizontal-vertical and direct-indirect pathways, with risk concentrating at the mining stage but accumulating predominantly in refining-manufacturing bridges. These cascades yield abrupt nonlinear failures and an avalanche network four times denser than the underlying physical supply chain. Nations with low systemic fragility but high exposure rate-such as Indonesia, South Africa, and Mexico-are particularly susceptible to common random disruptions and lack resilience or effective response. Over the past two decades, global systemic risks have followed a volatile but upward trend. These findings highlight that national mitigation strategies are necessary but insufficient; achieving resilience requires stage-aware, system-level coordination and multilateral cooperation.

Environmental Science and EcotechnologyVol. 29
University of Southern Denmark (DK), Chinese Academy of Sciences (CN), Peking University (CN), Beijing University of Technology (CN), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN), Beijing International Studies University (CN)
Openalex Percentile: Top 24%
Supply Chain Resilience and Risk Management
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Systemic risks and cascading dynamics in the global cobalt supply chain — Chen Wu, L. Liu, et al. · Environmental Science and Ecotechnology (2025) | TGRS Research Map | TGRS