Global Cobalt Supply Chain Database全球钴供应链数据库

225 countries · 1998–2019 · 22 years225 个国家 · 1998–2019 · 22

GL

Gang Liu刘刚

Professor教授

College of Urban and Environmental Sciences, Peking University北京大学城市与环境学院

Yangtze River Scholar Chair · Co-editor, Journal of Industrial Ecology长江学者特聘教授 · Journal of Industrial Ecology 联合主编

Works on urban metabolism, global material flows, and resource–environment management. Returned to Peking University as a tenured professor and Yangtze River Scholar Chair after a Ph.D. at the Norwegian University of Science and Technology and 14 years working in Norway and Denmark. Recipient of the ISIE Robert A. Laudise Scientist Award and the Environmental Science & Technology James J. Morgan Early Career Scientist Award.

产业生态学家,研究方向为城市代谢、全球物质流以及资源–环境管理。在挪威科技大学取得博士学位、 并在挪威和丹麦工作 14 年后,回到北京大学任终身教授、长江学者特聘教授。曾获 ISIE Robert A. Laudise 科学家奖以及 Environmental Science & TechnologyJames J. Morgan 青年科学家奖。

Collaborators合作者

Xin Ouyang (IGSNRR, CAS)Litao Liu (IGSNRR, CAS)Qiance Liu (Peking University)Wu Chen (University of Southern Denmark)Chao Wang (Beijing University of Technology)Canfei He (Peking University)Xun Pang庞珣

Overview概览

A relational view of risk in global cobalt supply chain across 22 years (1998–2019). Countries are linked across 6 supply-chain layers (Ore → Material → Product → Use → Waste → Secondary). Supply and demand shocks propagate through the network cascading into “avalanches”, from which systemic fragility (i.e., cruciality) and risk exposure (i.e., vulnerability) of individual states are deducted. The dataset highlights spatial-temporal variation in risk distribution and the interconnected nature of risk against the backdrop of the supply network. We illustrate the dataset from three dimensions: (1) country-level risk profiles; (2) avalanche network structure indicators; (3) fine-grained picture of network community structure.

以关系视角刻画全球钴供应链中的风险,覆盖 22 年(1998–2019)。 各国通过 6 个供应链层级相互连接(矿石 → 材料 → 产品 → 使用 → 废弃 → 二次回收)。 供给与需求冲击在网络中传播,级联形成“雪崩”,由此推断出各国的系统性脆弱性(即关键性) 与风险暴露(即脆弱程度)。该数据集凸显了风险分布的时空差异,以及在供应网络背景下风险的相互关联特征。 我们从三个维度展示该数据集:(1)国家层面的风险画像;(2)雪崩网络结构指标; (3)网络社群结构的精细图景。

225
Countries Tracked追踪国家数
22
Years Covered覆盖年数
806
Nodes in 20192019 年节点数
36,755
Edges in 20192019 年边数

At a Glance速览

Network-level structural trend and 2019 country-level fragility — drill deeper in the tabs above.网络层面的结构趋势与 2019 年国家层面的脆弱性 —— 可在上方标签页中深入查看。

Network Density Over Time网络密度随时间变化

Avalanche network density, 19982019雪崩网络密度,19982019

Top 10 Most Fragile Countries (2019)脆弱性最高的 10 个国家(2019

By systemic fragility index (frg_state)按系统性脆弱性指数排序 (frg_state)

Related Research相关研究

The source paper and selected work on cobalt & supply-chain systemic risk源论文及关于钴与供应链系统性风险的精选研究