Global nickel scrap trade network vulnerability: Risks of exposure, cooperation disruptions and policy barriers

Xiaohong CHEN , Daipeng MA , Jian GUAN , Rui LI

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Eng. Manag ›› DOI: 10.1007/s42524-026-5210-7
RESEARCH ARTICLE
Global nickel scrap trade network vulnerability: Risks of exposure, cooperation disruptions and policy barriers
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Abstract

Amid escalating geopolitical tensions, the global nickel resource trade is facing mounting systemic risks. This study develops a network-based framework that integrates structural exposure risk indicators and structural stress testing based on extinction analysis to assess the vulnerability of the global scrap nickel trade network (GSNTN). Results reveal a dual-risk structure characterized by intensified direct exposure and increasing efficiency imbalance. Four simulation scenarios of cooperation disruptions and policy barriers indicate that, nations exhibiting high dependency and reachability but low constraint tend to act as high-intensity risk. In contrast, highly constrained nodes embedded in cohesive trade clusters are prone to becoming passive vulnerable receptors, forced to absorb concentrated systemic pressure. Notably, some low-trade value intermediary countries act as disruption amplifiers. The findings highlight the vulnerability of the GSNTN, emphasizing that major countries should strengthen cooperation and avoid conflicts to ensure the stable operation of the supply chain.

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Keywords

scrap nickel trade network / critical material supply chains / network vulnerability / extinction analysis / stress testing

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Xiaohong CHEN, Daipeng MA, Jian GUAN, Rui LI. Global nickel scrap trade network vulnerability: Risks of exposure, cooperation disruptions and policy barriers. Eng. Manag DOI:10.1007/s42524-026-5210-7

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References

[1]

Axt M, Baldassarre B, Kirchherr J, (2025). Towards greater circularity in the hydrogen technology value chain. Ecological Economics, 236: 108679

[2]

Bai Y, Zhang T, Zhai Y, Jia Y, Ren K, Hong J, (2022). Strategies for improving the environmental performance of nickel production in China: Insight into a life cycle assessment. Journal of Environmental Management, 312: 114949

[3]

Bellè A, Zeng Z, Duval C, Sango M, Barros A, (2022). Modeling and vulnerability analysis of interdependent railway and power networks: Application to British test systems. Reliability Engineering & System Safety, 217: 108091

[4]

Burt R S, (2004). Structural holes and good ideas. American Journal of Sociology, 110( 2): 349–399

[5]

Calvo G, Valero A, (2022). Strategic mineral resources: Availability and future estimations for the renewable energy sector. Environmental Development, 41: 100640

[6]

Cantner U, Rake B, (2014). International research networks in pharmaceuticals: Structure and dynamics. Research Policy, 43( 2): 333–348

[7]

Chang L, Taghizadeh-Hesary F, Mohsin M, (2023). Role of mineral resources trade in renewable energy development. Renewable & Sustainable Energy Reviews, 181: 113321

[8]

Chen K, Li Y, Linderman K, (2022). Supply network resilience learning: An exploratory data analytics study. Decision Sciences, 53( 1): 8–27

[9]

Chen W, Jiang Y, Liu Z, (2024). Unveiling structural differentiation in the global nickel trade network: A product chain perspective. Journal of Geographical Sciences, 34( 4): 763–778

[10]

Coman V, Robotin B, Ilea P, (2013). Nickel recovery/removal from industrial wastes: A review. Resources, Conservation and Recycling, 73: 229–238

[11]

Ding C, Ren X, (2025). Evolution and vulnerability analysis of global photovoltaic industry chain trade pattern. Scientific Reports, 15( 1): 1–16

[12]

Dou S, Zhu Y, Liu J, Xu D, (2024). The power of mineral: Shock of the global supply chain from resource nationalism. World Development, 184: 106758

[13]

Du K, Ang E H, Wu X, Liu Y, (2022). Progresses in sustainable recycling technology of spent lithium-ion batteries. Energy & Environmental Materials, 5( 4): 1012–1036

[14]

Eckelman M J, (2010). Facility-level energy and greenhouse gas life-cycle assessment of the global nickel industry. Resources, Conservation and Recycling, 54( 4): 256–266

[15]

Feng P, Zhou X, Zhang D, Chen Z, Wang S, (2022). The impact of trade policy on global supply chain network equilibrium: A new perspective of product-market chain competition. Omega, 109: 102612

[16]

Foti N J, Pauls S, Rockmore D N, (2013). Stability of the world trade web over time—An extinction analysis. Journal of Economic Dynamics & Control, 37( 9): 1889–1910

[17]

Gao Z, Geng Y, Xiao S, Zhuang M, (2022). Mapping the global anthropogenic chromium cycle: Implications for resource efficiency and potential supply risk. Environmental Science & Technology, 56( 15): 10904–10915

[18]

Greening P, Rutherford C, (2011). Disruptions and supply networks: a multi-level, multi-theoretical relational perspective. International Journal of Logistics Management, 22( 1): 104–126

[19]

Hu X, Wang C, Lim M K, Bai X, Yao C, (2021). Evaluating waste and scrap trade risks in Belt and Road Initiative countries. Resources, Conservation and Recycling, 173: 105728

[20]

Hu X, Wang C, Lim M K, Chen W Q, (2020a). Characteristics of the global copper raw materials and scrap trade systems and the policy impacts of China’s import ban. Ecological Economics, 172: 106626

[21]

Hu X, Wang C, Lim M K, Chen W Q, Teng L, Wang P, Wang H, Zhang C, Yao C, Ghadimi P, (2023). Critical systemic risk sources in global lithium-ion battery supply networks: Static and dynamic network perspectives. Renewable & Sustainable Energy Reviews, 173: 113083

[22]

Hu X, Wang C, Lim M K, Koh S L, (2020b). Characteristics and community evolution patterns of the international scrap metal trade. Journal of Cleaner Production, 243: 118576

[23]

Jung S, An S, Park J, Park H S, Bi X, (2025). Assessment of a critical mineral recycling network: A case study on nickel recovery from production waste in Korean eco-industrial parks. Journal of Industrial Ecology, 29( 4): 1197–1207

[24]

Kallitsis E, Korre A, Kelsall G H, (2022). Life cycle assessment of recycling options for automotive Li-ion battery packs. Journal of Cleaner Production, 371: 133636

[25]

Li Y, Pu Y, (2025). Pattern evolution and dynamic formation mechanism of global scrap copper trade network: Based on temporal exponential random graph model. Ecological Economics, 236: 108664

[26]

Liang C, Umar M, Ma F, Huynh T L, (2022). Climate policy uncertainty and world renewable energy index volatility forecasting. Technological Forecasting and Social Change, 182: 121810

[27]

Liu G, Müller D B, (2013). Mapping the global journey of anthropogenic aluminum: A trade-linked multilevel material flow analysis. Environmental Science & Technology, 47( 20): 11873–11881

[28]

Liu H, Tian Z, Huang A, Yang Z, (2018). Analysis of vulnerabilities in maritime supply chains. Reliability Engineering & System Safety, 169: 475–484

[29]

Ma Y, Wang M, Li X, (2022). Analysis of the characteristics and stability of the global complex nickel ore trade network. Resources Policy, 79: 103089

[30]

Mei Q, Qinyou H, Hu Y, Yang Y, Liu X, Huang Z, Wang P, (2024). Structural analysis and vulnerability assessment of the European LNG maritime supply chain network (2018–2020). Ocean and Coastal Management, 253: 107126

[31]

Ouyang X, Liu L, Chen W, Wang C, Sun X, He C, Liu G, (2024). Systematic risks of the global lithium supply chain network: from static topological structures to cascading failure dynamics. Environmental Science & Technology, 58( 50): 22135–22147

[32]

Roy J J, Rarotra S, Krikstolaityte V, Zhuoran K W, Cindy Y D I, Tan X Y, Carboni M, Meyer D, Yan Q, Srinivasan M, (2022). Green recycling methods to treat lithium-ion batteries E-waste: A circular approach to sustainability. Advanced Materials, 34( 25): 2103346

[33]

Schenker O, Osberghaus D, (2025). International trade and the transmission of temperature shocks. Environmental and Resource Economics, 88( 4): 965–1007

[34]

Schulz Y, (2020). Chinese engagement abroad in the scrap business. China Perspectives, 2020( 4): 49–57

[35]

Song Y, Yang N, Zhang Y, Wang J, (2020). Do more structural holes lead to more risk propagation in R&D networks. Management Decision, 58( 1): 39–57

[36]

Sprecher B, Daigo I, Murakami S, Kleijn R, Vos M, Kramer G J, (2015). Framework for resilience in material supply chains, with a case study from the 2010 rare earth crisis. Environmental Science & Technology, 49( 11): 6740–6750

[37]

Su C, Geng Y, van Ewijk S, Borrion A, Zhang C, (2025). Uncovering the evolution of the global Nickel cycle and trade networks. Resources, Conservation and Recycling, 215: 108164

[38]

Su C, Geng Y, Zeng X, Gao Z, Song X, (2023). Uncovering the features of nickel flows in China. Resources, Conservation and Recycling, 188: 106702

[39]

Sun X, Wei Y, Jin Y, Song W, Li X, (2023). The evolution of structural resilience of global oil and gas resources trade network. Global Networks, 23( 2): 391–411

[40]

Tan J, Wehde M V, Brønd F, Kalvig P, (2021). Traded metal scrap, traded alloying elements: A case study of Denmark and implications for circular economy. Resources, Conservation and Recycling, 168: 105242

[41]

Wang F, Li K, Chen X, Zhang W, (2025a). Assessing supply chain risks for chip industry with LDA and multi-layer Bayesian network method. Frontiers of Engineering Management, 12( 4): 1037–1057

[42]

Wang J, Tan X, Liu D, (2025b). Critical risks in an industry chain-based global lithium supply networks: Static structure and dynamic propagation. Process Safety and Environmental Protection, 198: 107137

[43]

Wang M, Guo Y, Hu H, Ding S, (2023). Embodied carbon emission flow network analysis of the global nickel industry chain based on complex network. Sustainable Production and Consumption, 42: 380–391

[44]

Wang X, Wang A, Zhong W, Zhu D, Wang C, (2022). Analysis of international nickel flow based on the industrial chain. Resources Policy, 77: 102729

[45]

Xiao Y, Li L, He J, Sun Y, Lei Y, (2024). A metallurgical approach for separation and recovery of Cu, Cr, and Ni from electroplating sludge. Science of the Total Environment, 921: 171130

[46]

Xu M, Deng W, Zhu Y, L, (2023). Assessing and improving the structural robustness of global liner shipping system: A motif-based network science approach. Reliability Engineering & System Safety, 240: 109576

[47]

Xue J, Li G, (2023). Balancing resilience and efficiency in supply chains: Roles of disruptive technologies under Industry 4.0. Frontiers of Engineering Management, 10( 1): 171–176

[48]

Yao T, Li Z Y, Zhang Y J, (2024). Medium-and long-term sustainable supply approaches and strategies for essential and typical strategic resources in China. Frontiers of Engineering Management, 11( 3): 576–583

[49]

Yu Y, Ma D, Wang Y, (2024). Structural resilience evolution and vulnerability assessment of semiconductor materials supply network in the global semiconductor industry. International Journal of Production Economics, 270: 109172

[50]

Yue X, Mu D, Wang C, Ren H, Peng R, Du J, (2024). Critical risks in global supply networks: A static structure and dynamic propagation perspective. Reliability Engineering & System Safety, 242: 109728

[51]

Zarghami S A, Dumrak J, (2021). Unearthing vulnerability of supply provision in logistics networks to the black swan events: Applications of entropy theory and network analysis. Reliability Engineering & System Safety, 215: 107798

[52]

Zhang H, Cao H, Guo Y, (2024). The time-varying impact of geopolitical relations on rare earth trade networks: What is the role of China’s rare earth export restrictions. Technological Forecasting and Social Change, 206: 123550

[53]

Zhang H, Liu G, Li J, Qiao D, Zhang S, Li T, Guo X, Liu M, (2023). Modeling the impact of nickel recycling from batteries on nickel demand during vehicle electrification in China from 2010 to 2050. Science of the Total Environment, 859: 159964

[54]

Zhang L, Su W, Liao S, Wang S, (2025a). Enhancing energy security through multi-scale network analysis: robustness in global crude oil shipping–trade networks. Reliability Engineering & System Safety, 265: 111525

[55]

Zhang M, Liu D, Shui X, Hu W, Zhan Y, (2025b). Examining the impact of trade tariffs on semiconductor firms’ environmental performance. International Journal of Production Economics, 281: 109528

[56]

Zhou X, Zhang H, Zheng S, Xing W, (2022). The global recycling trade for twelve critical metals: Based on trade pattern and trade quality analysis. Sustainable Production and Consumption, 33: 831–845

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