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Influencing factors and critical path of inter-sector embodied heavy rare earth consumption in China

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  • Zhang, Hui-min
  • Feng, Tian-tian
  • Yang, Yi-sheng

Abstract

Heavy rare earth (HRE) has become a necessary metal material in the field of high-tech and new energy. China is rich in rare earth, but years of mining resulted in over-exploitation of HRE. And HRE's resource advantage position has been weakened gradually. Therefore, with the increasing demand for HRE, it is of great significance to understand the flow of HRE in sectors in China. In this article, the research model combines the input-output model and complex network model. From the perspective of sector supply chain, the network structure of embodied HRE flow network is analyzed, and the key sectors are identified. Subsequently, the impact of sectors' network roles on the consumption of embodied HRE is quantified based on panel regression model. Furthermore, structural path analysis is used to identify the critical path of the embodied HRE consumption. The main results are as follow: firstly, policy implication and supply-side disruption can cause fluctuation in embodied HRE consumption. But due to the rapid development of new energy industry, demand-side driving effect will be more and more prominent. Secondly, each sector plays a different role in the trading of embodied HRE. For example, metal mining and smelting processing is an important supply and consume sector and the consumption of HRE is largely affected by the sectors' network roles. Finally, the critical path of embodied HRE consumption shows that the main supply path is non-ferrous metal ore mining→ non-ferrous metal smelting and processing→ related electric machinery and metalworking machinery manufacturing/cultural, athletic and arts products manufacturing. However, with the development of new energy, the key supply chain may change. Therefore, we should pay attention to the role of the above key sectors and guide HRE to flow to key sectors of high-end applications. It is important to continuously improve the technology innovation of high-end application fields of HRE, promote resource utilization, and ensure the safety of key supply chains.

Suggested Citation

  • Zhang, Hui-min & Feng, Tian-tian & Yang, Yi-sheng, 2022. "Influencing factors and critical path of inter-sector embodied heavy rare earth consumption in China," Resources Policy, Elsevier, vol. 75(C).
    • Handle: RePEc:eee:jrpoli:v:75:y:2022:i:c:s0301420721005006
    DOI: 10.1016/j.resourpol.2021.102492
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    1. Zheng, Biao & Zhang, Yuquan & Chen, Yufeng, 2021. "Asymmetric connectedness and dynamic spillovers between renewable energy and rare earth markets in China: Evidence from firms’ high-frequency data," Resources Policy, Elsevier, vol. 71(C).
    2. Duan, Cuncun & Chen, Bin & Feng, Kuishuang & Liu, Zhu & Hayat, Tasawar & Alsaedi, Ahmed & Ahmad, Bashir, 2018. "Interregional carbon flows of China," Applied Energy, Elsevier, vol. 227(C), pages 342-352.
    3. Mancheri, Nabeel A., 2015. "World trade in rare earths, Chinese export restrictions, and implications," Resources Policy, Elsevier, vol. 46(P2), pages 262-271.
    4. Ge, Jianping & Wang, Xibo & Guan, Qing & Li, Weiheng & Zhu, He & Yao, Min, 2016. "World rare earths trade network: Patterns, relations and role characteristics," Resources Policy, Elsevier, vol. 50(C), pages 119-130.
    5. Lenzen, Manfred, 2007. "Structural path analysis of ecosystem networks," Ecological Modelling, Elsevier, vol. 200(3), pages 334-342.
    6. Hou, Wenyu & Liu, Huifang & Wang, Hui & Wu, Fengyang, 2018. "Structure and patterns of the international rare earths trade: A complex network analysis," Resources Policy, Elsevier, vol. 55(C), pages 133-142.
    7. Sai Liang & Sen Guo & Joshua P. Newell & Shen Qu & Yu Feng & Anthony S.F. Chiu & Ming Xu, 2016. "Global Drivers of Russian Timber Harvest," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 515-525, June.
    8. Federica Cerina & Zhen Zhu & Alessandro Chessa & Massimo Riccaboni, 2015. "World Input-Output Network," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-21, July.
    9. Glen Peters & Edgar Hertwich, 2006. "Structural analysis of international trade: Environmental impacts of Norway," Economic Systems Research, Taylor & Francis Journals, vol. 18(2), pages 155-181.
    10. Wang, Xibo & Wei, Wendong & Ge, Jianping & Wu, Bin & Bu, Wei & Li, Jiashuo & Yao, Mingtao & Guan, Qing, 2017. "Embodied rare earths flow between industrial sectors in China: A complex network approach," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 363-374.
    11. Jiang, Meihui & An, Haizhong & Guan, Qing & Sun, Xiaoqi, 2018. "Global embodied mineral flow between industrial sectors: A network perspective," Resources Policy, Elsevier, vol. 58(C), pages 192-201.
    12. Chen, B. & Li, J.S. & Wu, X.F. & Han, M.Y. & Zeng, L. & Li, Z. & Chen, G.Q., 2018. "Global energy flows embodied in international trade: A combination of environmentally extended input–output analysis and complex network analysis," Applied Energy, Elsevier, vol. 210(C), pages 98-107.
    13. Zhang, Bo & Qu, Xue & Meng, Jing & Sun, Xudong, 2017. "Identifying primary energy requirements in structural path analysis: A case study of China 2012," Applied Energy, Elsevier, vol. 191(C), pages 425-435.
    14. Sun, Xiaoqi & An, Haizhong & Gao, Xiangyun & Jia, Xiaoliang & Liu, Xiaojia, 2016. "Indirect energy flow between industrial sectors in China: A complex network approach," Energy, Elsevier, vol. 94(C), pages 195-205.
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