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Measurement of mineral supply diversity and its importance in assessing risk and criticality

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  • Brown, Teresa

Abstract

The diversity of supply, or conversely its concentration, has become one of the key factors in measuring the criticality of minerals. The premise is that if supply is limited to just a few major suppliers the risk of supply disruption is increased, although in reality it depends on many more factors that can be complicated to measure. In addition, there is a wide range of possible methods for measuring supply diversity or concentration, some involving the use of complicated formulas, which can easily become bewildering to the non-statistician. Often the intricacies of their use, the data inputs and sources, and the resulting indices, are not fully understood with the consequent risk of misinformed decisions being based upon them. This paper examines a selection of the available indicators, discusses their limitations and illustrates how a simple index, such as concentration ratio, can be as informative as more complicated approaches. Further, it uses the trends in supply diversity for five minerals (fluorspar, lithium, coal, copper and nickel), taken at decadal intervals over the past century, to demonstrate that a snapshot index taken at a single point in time does not accurately determine whether the level of supply concentration is a cause for concern.

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  • Brown, Teresa, 2018. "Measurement of mineral supply diversity and its importance in assessing risk and criticality," Resources Policy, Elsevier, vol. 58(C), pages 202-218.
  • Handle: RePEc:eee:jrpoli:v:58:y:2018:i:c:p:202-218
    DOI: 10.1016/j.resourpol.2018.05.007
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    5. Li, Baihua & Li, Huajiao & Ren, Shuai & Liu, Haiping & Wang, Gang, 2023. "Commodity supply risk assessment of China's copper industrial chain: The perspective of trade network," Resources Policy, Elsevier, vol. 81(C).
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    8. Christine L. Thomas & Nedal T. Nassar & John H. DeYoung, 2022. "Assessing mineral supply concentration from different perspectives through a case study of zinc," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 35(3), pages 607-616, December.
    9. Kim, Juhan & Lee, Jungbae & Kim, BumChoong & Kim, Jinsoo, 2019. "Raw material criticality assessment with weighted indicators: An application of fuzzy analytic hierarchy process," Resources Policy, Elsevier, vol. 60(C), pages 225-233.
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    13. Hao, Hongchang & Xing, Wanli & Wang, Anjian & Song, Hao & Han, Yawen & Zhao, Pei & Xie, Ziqi & Chen, Xuemei, 2022. "Multi-layer networks research on analyzing supply risk transmission of lithium industry chain," Resources Policy, Elsevier, vol. 79(C).
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