Quantifying Cobalt Supply Risk for Li-ion Battery Industry

This dataset comprises a comprehensive collection of information from multiple sources, meticulously gathered to support the analysis presented in the paper "Quantifying Cobalt Supply Risk for the Li-ion Battery Industry." The data set includes several key components:<b>Firm and Mine Data:</b> This includes detailed cumulative data on various firms and mines involved in the cobalt supply chain. The dataset captures both historical and current data, reflecting the evolution of entities in the cobalt market over time.<b>Financial Transactions:</b> The dataset provides extensive records of financial transactions between entities across different countries and industries engaged in the Lithium-Ion Battery (LIB) market. This financial data is critical for understanding the economic interdependencies and the flow of capital within the cobalt supply chain.<b>Cobalt Production Data (1969-2020):</b> Sourced from reliable repositories such as the U.S. Geological Survey (USGS), this dataset tracks cobalt production on a global scale over five decades. This longitudinal data is essential for analyzing trends, disruptions, and the historical supply dynamics of cobalt—a critical material for the LIB industry.<b>Risk Assessment Data:</b> The dataset includes estimated losses and a cumulative density function (CDF) for hazardous conditions across major cobalt producers. This component is particularly valuable for risk quantification, offering insights into the potential disruptions in the cobalt supply chain due to hazardous conditions or operational risks.This dataset is beneficial for researchers and industry stakeholders who are focused on understanding and mitigating the risks associated with cobalt supply, particularly in the context of the rapidly growing demand for lithium-ion batteries. By providing a detailed view of the historical and current state of cobalt production and associated financial and risk factors, this dataset supports a robust analysis of supply chain vulnerabilities and helps in strategizing for more resilient supply mechanisms.<b>Data Sources:</b> The data in this collection has been obtained from credible sources including S&amp;P IQ Pro and USGS, ensuring the reliability and accuracy of the information provided.<b>Usage:</b> This dataset can be used for a variety of research purposes, including supply chain analysis, risk assessment. It is particularly suited for studies aimed at quantifying supply risks within the LIB industry, which is highly dependent on a stable and reliable supply of cobalt.