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Evolutionary analysis of the global rare earth trade networks

Author

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  • Yu, Guihai
  • Xiong, Chao
  • Xiao, Jianxiong
  • He, Deyan
  • Peng, Gang

Abstract

This study used social network analysis, spatial measurement, and network statistical analysis to study the relationships among countries in the global rare earth trade. Using data on rare earth products from the UN Comtrade database, the global rare earth trade network and its evolving topological characteristics are analyzed for the period 1999–2020. Spatial correlation analysis using the global Moran index showed that countries tended to carry out rare earth trade with neighboring countries, and there were certain spatial aggregations in the trade patterns. A temporal exponential random graph model (TERGM) was used to analyze the influencing factors and evolution of the global rare earth trade, and network motif analysis was used to analyze the influence of network topology on the trading network structure. The results showed that the global rare earth trade model presented the following characteristics: trade from one core country to many other countries, reciprocity between trading countries, and trade around near neighboring rare earth-rich countries. Other factors, such as countries with the same GDP levels and World Trade Organization (WTO) member countries, influenced the global rare earth trade but not the formation of the rare earth trade network. In examining the temporal dependence of rare earth trade networks over a 22-year period, it was found that the linkages of rare earth trade networks among countries remained relatively stable, pointing to the long-term dependence of countries with scarce rare earth resources on resource-rich countries.

Suggested Citation

  • Yu, Guihai & Xiong, Chao & Xiao, Jianxiong & He, Deyan & Peng, Gang, 2022. "Evolutionary analysis of the global rare earth trade networks," Applied Mathematics and Computation, Elsevier, vol. 430(C).
  • Handle: RePEc:eee:apmaco:v:430:y:2022:i:c:s009630032200323x
    DOI: 10.1016/j.amc.2022.127249
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    References listed on IDEAS

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    Cited by:

    1. Zuo, Zhili & McLellan, Benjamin Craig & Li, Yonglin & Guo, Haixiang & Cheng, Jinhua, 2022. "Evolution and insights into the network and pattern of the rare earths trade from an industry chain perspective," Resources Policy, Elsevier, vol. 78(C).
    2. Xia, Qifan & Du, Debin & Cao, Wanpeng & Wang, Shengpeng & Li, Xiya, 2024. "The paradox of waste geography? Dynamic evolution and quality evaluation of the global rare earth recycling trade network," Resources Policy, Elsevier, vol. 89(C).
    3. Jia, Nanfei & Pi, Zhengrong & Zuo, Min & Liu, Donghui & An, Haizhong & Wang, Jialiang, 2024. "Structural evolution and the influence mechanism of the global embedded tungsten value flow networks: The perspective of value chain and technological progress," Resources Policy, Elsevier, vol. 91(C).
    4. Xia, Qifan & Du, Debin & Cao, Wanpeng & Li, Xiya, 2023. "Who is the core? Reveal the heterogeneity of global rare earth trade structure from the perspective of industrial chain," Resources Policy, Elsevier, vol. 82(C).
    5. Considine, Jennifer & Galkin, Phillip & Hatipoglu, Emre & Aldayel, Abdullah, 2023. "The effects of a shock to critical minerals prices on the world oil price and inflation," Energy Economics, Elsevier, vol. 127(PB).
    6. Zhao, Guimei & Li, Wenxiu & Geng, Yong & Bleischwitz, Raimund, 2023. "Uncovering the features of global antimony resource trade network," Resources Policy, Elsevier, vol. 85(PA).
    7. Zhang, Hongwei & Cao, Hualin & Guo, Yaoqi, 2024. "The time-varying impact of geopolitical relations on rare earth trade networks: What is the role of China's rare earth export restrictions?," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    8. Liu, Yuxin & Li, Yunting & Pu, Yue, 2024. "Exploring the endogenous structure and evolutionary mechanism of the global coal trade network," Energy Economics, Elsevier, vol. 136(C).

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