Global Cobalt Supply Chain Database

225 countries · 1998–2019 · 22 years

XP

Xun Pang

Professor

School of International Studies, Peking University

Director, PKU Analytics Lab for Global Risk Politics

Political methodologist and professor of international relations. Research focuses on causal inference, Bayesian statistics, longitudinal data modeling, and AI–social science interdisciplinary innovation. Associate Editor of Political Analysis.

Collaborators

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)Gang Liu (Peking University)

Overview

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.

225
Countries Tracked
22
Years Covered
806
Nodes in 2019
36,755
Edges in 2019

At a Glance

Network-level structural trend and 2019 country-level fragility — drill deeper in the tabs above.

Network Density Over Time

Avalanche network density, 19982019

Top 10 Most Fragile Countries (2019)

By systemic fragility index (frg_state)

Related Research

The source paper and selected work on cobalt & supply-chain systemic risk