Abstract
Amid rising geopolitical tensions and climate shocks, ensuring the resilience of critical mineral value chains has become a paramount concern for national security. Conventional analysis frameworks are increasingly inadequate, as they typically rely on static trade data, fail to capture the dynamics of the entire value chain from mine to market, and overlook nations' adjustable capacities to reconfigure supply routes during a crisis. To address these shortcomings, this study introduces a dynamic, multi-stage resilience assessment framework that provides a more holistic view of national vulnerability.
Our framework integrates production capacity analysis, spatial infrastructure diagnostics using GIS, and dynamic trade simulations based on complex network theory. We apply this methodology to a critical case study: China's copper supply chain, due to its role as the world's largest consumer and copper's foundational importance for industrialization and the green energy transition. The analysis evaluates resilience across three distinct phases: preparedness, robustness, and recovery.
The findings reveal multiple, stage-specific vulnerabilities. In the preparedness phase, we identify high spatial concentration in China's domestic copper infrastructure, with Gini coefficients of approximately 0.68 indicating significant exposure to localized disruptions. During the robustness phase, a simulated 100% mining disruption in a key trade partner, Chile, is shown to trigger a severe 35.06% shortfall in China’s refined copper supply. Finally, in the recovery phase, a disruption in domestic smelting capacity highlights cascading failures, resulting in a 33.48% consumption demand deficit that cannot be fully offset by compensatory imports.
By pinpointing distinct bottlenecks, from geographic concentration to import dependencies and domestic processing limitations, this framework moves beyond static resilience assessment. It provides policymakers with a tool to develop more reliable, "safe-to-fail" strategies, enhancing national mineral security in an era of compounding global uncertainty.
Our framework integrates production capacity analysis, spatial infrastructure diagnostics using GIS, and dynamic trade simulations based on complex network theory. We apply this methodology to a critical case study: China's copper supply chain, due to its role as the world's largest consumer and copper's foundational importance for industrialization and the green energy transition. The analysis evaluates resilience across three distinct phases: preparedness, robustness, and recovery.
The findings reveal multiple, stage-specific vulnerabilities. In the preparedness phase, we identify high spatial concentration in China's domestic copper infrastructure, with Gini coefficients of approximately 0.68 indicating significant exposure to localized disruptions. During the robustness phase, a simulated 100% mining disruption in a key trade partner, Chile, is shown to trigger a severe 35.06% shortfall in China’s refined copper supply. Finally, in the recovery phase, a disruption in domestic smelting capacity highlights cascading failures, resulting in a 33.48% consumption demand deficit that cannot be fully offset by compensatory imports.
By pinpointing distinct bottlenecks, from geographic concentration to import dependencies and domestic processing limitations, this framework moves beyond static resilience assessment. It provides policymakers with a tool to develop more reliable, "safe-to-fail" strategies, enhancing national mineral security in an era of compounding global uncertainty.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Resilient Systems (ICRS) 2026, Delft, The Netherlands |
| Subtitle of host publication | Book of Abstracts |
| Editors | Tina Comes, Remco Dijkman, Jonas Jörin, Max Mühlhäuser, Maria Pregnolato, Christian Reuter, Christian Schaffner |
| Pages | 26 |
| Number of pages | 1 |
| DOIs | |
| Publication status | Published - Mar 2026 |
| Event | International Conference on Resilient Systems 2026: Resilience in an Age of Disruption - Delft University of Technology, Delft, Netherlands Duration: 23 Mar 2026 → 25 Mar 2026 |
Conference
| Conference | International Conference on Resilient Systems 2026 |
|---|---|
| Abbreviated title | ICRS 2026 |
| Place | Netherlands |
| City | Delft |
| Period | 23/03/26 → 25/03/26 |
Research Keywords
- Critical Minerals
- Value Chain Resilience
- Complex Network Theory
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