TY - JOUR
T1 - Evolution of the rare earth trade network
T2 - A perspective of dependency and competition
AU - Xu, Jilan
AU - Li, Jiahao
AU - Charles, Vincent
AU - Zhao, Xin
N1 - Publisher Copyright:
© 2023 China University of Geosciences (Beijing) and Peking University
PY - 2024/5
Y1 - 2024/5
N2 - As a global strategic reserve resource, rare earth has been widely used in important industries, such as military equipment and biomedicine. However, existing analyses based solely on the total volume of rare earth trade fail to uncover the underlying competition and dependency dynamics. To address this gap, this paper employs the principles of trade preference and import similarity to construct dependency and competition networks. Complex network analysis is then employed to study the evolution of the global rare earth trade network from 2002 to 2018. The main conclusions are as follows. The global rare earth trade follows the Pareto principle, and the trade network shows a scale-free distribution. China has emerged as the world's largest importer and exporter of rare earth since 2017. In the dependency network, China has become the most dependent country since 2006. The result of community division shows that China has separated from the American community and formed new communities with the Association of Southeast Asian Nations (ASEAN) countries. The United States of America has formed a super-strong community with European and Asian countries. In the competition network, the distribution of competition intensity follows a scale-free distribution. Most countries face low-intensity competition, but there are numerous competing countries. The competition related to China has increased significantly. Lastly, the competition source for the United States of America has shifted from Mexico to China, resulting in China, the USA, and Japan becoming the core participants in the competition network.
AB - As a global strategic reserve resource, rare earth has been widely used in important industries, such as military equipment and biomedicine. However, existing analyses based solely on the total volume of rare earth trade fail to uncover the underlying competition and dependency dynamics. To address this gap, this paper employs the principles of trade preference and import similarity to construct dependency and competition networks. Complex network analysis is then employed to study the evolution of the global rare earth trade network from 2002 to 2018. The main conclusions are as follows. The global rare earth trade follows the Pareto principle, and the trade network shows a scale-free distribution. China has emerged as the world's largest importer and exporter of rare earth since 2017. In the dependency network, China has become the most dependent country since 2006. The result of community division shows that China has separated from the American community and formed new communities with the Association of Southeast Asian Nations (ASEAN) countries. The United States of America has formed a super-strong community with European and Asian countries. In the competition network, the distribution of competition intensity follows a scale-free distribution. Most countries face low-intensity competition, but there are numerous competing countries. The competition related to China has increased significantly. Lastly, the competition source for the United States of America has shifted from Mexico to China, resulting in China, the USA, and Japan becoming the core participants in the competition network.
KW - Competition
KW - Complex network analysis
KW - Dependency
KW - Rare earth
KW - Trade network
UR - http://www.scopus.com/inward/record.url?scp=85164365836&partnerID=8YFLogxK
U2 - 10.1016/j.gsf.2023.101653
DO - 10.1016/j.gsf.2023.101653
M3 - Article
AN - SCOPUS:85164365836
SN - 1674-9871
VL - 15
JO - Geoscience Frontiers
JF - Geoscience Frontiers
IS - 3
M1 - 101653
ER -