China's lithium supply chains: Network evolution and resilience assessment

被引:7
|
作者
Jin, Pengfei [1 ]
Wang, Saige [1 ]
Meng, Zheng [2 ]
Chen, Bin [1 ,3 ]
机构
[1] Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat Pollut Contro, Beijing 100875, Peoples R China
[2] China Univ Min & Technol Beijing, Sch Management, Beijing 100083, Peoples R China
[3] Beijing Normal Univ, State Key Joint Lab Environm Simulat & Pollut Cont, 19 Xinjiekouwai St, Beijing 100875, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Lithium resources; Supply chain network; Material flow analysis; Complex network analysis; Resilience assessment; MATERIAL FLOW-ANALYSIS; COMPLEX NETWORK; COBALT; TRANSPORTATION; SUSTAINABILITY; STABILITY; DYNAMICS; SYSTEM;
D O I
10.1016/j.resourpol.2023.104339
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As the world's largest consumer of lithium resources, China faces a substantial demand-supply gap and challenges in securing its lithium supply chain. This study aims to examine the evolution of China's lithium supply chain networks from 2017 to 2021 and employs an attack model to reveal network resilience. A lithium supply chain network is constructed across the entire industry, offering a novel perspective for examining the resilience of lithium resource trade networks. Simulated disturbances are executed via attack models, analysing not only trade nodes but also specific trade relationships while differentiating between import and export subnetworks, thus providing an in-depth examination of structural evolution and resilience characteristics. Our findings highlight the rapid decrease in total lithium throughflows and stable network efficiency from 2017 to 2021. A decline is also observed regarding the network's resilience. Among the different forms of simulated disruptions, node attacks exert the most substantial impact on resilience. The effects of node and edge attacks are notably less severe in China's export subnetwork than in its import subnetwork. In the import subnetwork, the influence of Asian and European nodes diminishes, while South America and Oceania show an increasing influence trend. For exports, the Asian node remains influential, followed by Europe, with Eastern Europe surpassing Western Europe. Upon closer examination of specific products' trade impacts under edge attacks, the results indicate that most trade relationships have minimal impacts on network resilience. There is a persistent increase in the influence of key upstream products in the import sector. Similarly, the influence of key downstream products in the export sector is also on the rise, underscoring China's global leadership in both mid-and downstream products and illustrating its expanding production capacity. The structural changes of complex networks and simultaneous targeted attacks provide new insights for enhancing resilience given the different disruptions of nodes and edges, and outline important policy implications for China's lithium supply security.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Visibility model for enhancing supply chains resilience
    Viel de Farias, Ingra
    dos Santos Alvim, Silvio Luiz
    de Simas, Davi
    Morosini Frazzon, Enzo
    IFAC PAPERSONLINE, 2022, 55 (10): : 2521 - 2525
  • [32] Improve Robustness and Resilience of Networked Supply Chains
    de Souza, Robert
    Zhou, Rong
    PROCEEDINGS OF THE 18TH ASIA PACIFIC SYMPOSIUM ON INTELLIGENT AND EVOLUTIONARY SYSTEMS, VOL 2, 2015, : 589 - 597
  • [33] Novel assessment of China's cobalt supply chain resilience based on DPSIR model and machine learning
    Liu, Wei
    Chen, Lu
    Luo, Fanjie
    Zhao, Yifei
    Li, Xin
    Zeng, Xianlai
    RESOURCES CONSERVATION AND RECYCLING, 2025, 215
  • [34] Resilience assessment of China's natural gas system under supply shortages: A system dynamics approach
    Ding, Yueting
    Chen, Sai
    Zheng, Yilei
    Chai, Shanglei
    Nie, Rui
    Energy, 2022, 247
  • [35] Resilience assessment of China's natural gas system under supply shortages: A system dynamics approach
    Ding, Yueting
    Chen, Sai
    Zheng, Yilei
    Chai, Shanglei
    Nie, Rui
    ENERGY, 2022, 247
  • [36] Critical transmission sectors in China?s energy supply chains
    Feng, Cuiyang
    Dong, Liyan
    Adbiat, Muhsen
    Xu, Lixiao
    Yu, Ao
    ENERGY, 2023, 266
  • [37] Electronic shipping documentation in China's international supply chains
    Mei, ZL
    Dinwoodie, J
    SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2005, 10 (3-4) : 198 - 205
  • [38] MODELING CHINA'S DRY PORT COOPERATION IN SUPPLY CHAINS
    Plotnikov, Egor
    Rakhmangulov, Aleksandr
    TRANSPORT PROBLEMS, 2021, 16 (03) : 89 - 103
  • [39] Network models for supply chains
    Göttlich, S
    Herty, M
    Klar, A
    COMMUNICATIONS IN MATHEMATICAL SCIENCES, 2005, 3 (04) : 545 - 559
  • [40] Global Changes and Disruptions in Supply Chains-Preliminary Research to Sustainable Resilience of Supply Chains
    Grzybowska, Katarzyna
    Stachowiak, Agnieszka
    ENERGIES, 2022, 15 (13)