全球锂钴镍矿产品多层贸易网络演化与安全驱动机制研究

    Evolution and security drivers of the global lithium-cobalt-nickel multilayer trade network

    • 摘要: 在全球关键矿产资源配置加速调整、产业链供应链深度重构、能源绿色低碳转型协同推进的背景下,锂、钴、镍作为动力电池产业链的核心矿产,其贸易网络演化及耦合关系已成为影响关键矿产供应链安全与韧性的重要议题。现有研究多从单一矿产视角考察贸易网络结构与驱动因素,较少关注锂、钴、镍在技术耦合、需求联动和贸易关联作用下形成的多层网络结构及其跨层风险传导机制。为弥补这一不足,基于2010—2024年全球双边贸易数据,构建全球锂-钴-镍多层贸易网络,综合运用复杂网络分析、XGBoost模型与SHAP解释方法,系统揭示其演化特征、安全驱动机制及跨层溢出效应。研究发现:①三种矿产贸易网络总体呈现“节点收缩-联系增强”的集约化演化趋势,“核心-边缘”结构持续强化,小世界特性进一步深化,全球贸易联系进一步向少数核心国家集中。②经济规模与地理距离仍是贸易连边形成的基础性驱动力,经济体在自身层级网络中所处的结构位置构成了贸易连边形成的首要驱动力。但资源禀赋、物流连通性、制度环境、价格信号及新能源汽车需求增长等因素共同塑造了差异化演进路径。③多层网络存在显著且非对称的跨层溢出效应,锂作为跨层嵌入核心,镍层次之、钴层相对温和。跨层溢出以特征向量中心性为主导载体、中介中心性为辅助通道,而单一矿种内部贸易组织则由中介中心性主导驱动。国家在供应链中所掌握的圈层影响力与桥接控制力,已成为主导并重塑全球关键矿产贸易格局的核心动能。④跨层模型系统性优于基准模型,三层联合模型跨时段稳定性最好,表明锂、钴、镍贸易网络具有显著系统耦合特征,应从多矿协同视角开展关键矿产供应链安全评估。研究结论可为我国关键矿产资源安全保障、供应链风险预警、战略储备优化及全球资源配置能力提升提供理论依据和决策参考。

       

      Abstract: Against the backdrop of accelerated restructuring of global critical mineral allocation, profound reorganization of industrial and supply chains, and the coordinated advancement of the green and low-carbon energy transition, the evolution and coupling relationships of the trade networks of lithium, cobalt, and nickel — as core minerals in the power battery industry chain — have become important issues affecting the security and resilience of critical mineral supply chains. Existing studies mainly examine trade network structures and driving factors from the perspective of a single mineral, while paying insufficient attention to the multilayer network structure formed by lithium, cobalt, and nickel through technological coupling, demand linkage, and trade interdependence, as well as the cross-layer risk transmission mechanisms embedded therein. To fill this gap, a global multilayer lithium-cobalt-nickel trade network is constructed based on bilateral trade data from 2010 to 2024, and complex network analysis, the XGBoost model, and the SHAP method are employed to systematically investigate its evolutionary characteristics, security drivers, and cross-layer spillover effects. The results show that: ① the trade networks of the three minerals exhibit an overall intensive evolutionary trend characterized by “node contraction and linkage enhancement”; the core-periphery structure is continuously reinforced, and “small-world” properties become more pronounced, indicating that global trade ties are increasingly concentrated among a small number of core countries. ② Economic scale and geographical distance remain the fundamental drivers of trade link formation. Economies’ structural position within their own specific-layer network constitutes the primary driver for establishing such connections, while resource endowment, logistics connectivity, institutional environment, price signals, and the growth of new energy vehicle demand jointly shape the differentiated evolution paths of critical mineral trade networks. ③ Significant and asymmetric cross-layer spillover effects are identified in the multilayer network: lithium acts as the core entity facilitating cross-layer integration, followed by nickel, while the impact of cobalt remains relatively moderate. Eigenvector centrality serves as the primary conduit for cross-layer spillover, with betweenness centrality playing a supportive role, whereas betweenness centrality dominates trade organization within individual mineral layers. Furthermore, the bridging control and structural embedding influence wielded by nations within the supply chain have emerged as the core dynamics driving and reshaping the global landscape of critical mineral trade. ④ The cross-layer model consistently outperforms the benchmark model, with the combined three-layer model demonstrating the highest stability across different time periods, indicating that the lithium-cobalt-nickel trade network exhibits significant systemic coupling characteristics and that critical mineral supply chain security should be assessed from a multi-mineral collaborative perspective. The findings provide theoretical support and policy implications for safeguarding China’s critical mineral security, improving supply chain risk warning systems, optimizing strategic reserves, and enhancing the capacity for global resource allocation.

       

    /

    返回文章
    返回