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A model to assess industry vulnerability to disruptions in mineral commodity supplies

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  • Manley, Ross L.
  • Alonso, Elisa
  • Nassar, Nedal T.

Abstract

Mineral commodity supply disruptions have the potential to ripple through and impact the economy in many ways. Industrial vulnerability is a crucial component of mineral commodity criticality tools as it provides guidance on the economic importance of these commodities to regional criticality indices. Using an economic model that links mineral commodity end-use data to input-output tables and a linear optimization routine, reductions in economic output of individual industries and of the overall economy may be calculated. Such a model can also help to identify industries, be they direct or indirect consumers of the mineral commodities in question, that are most vulnerable to specific mineral commodity supply disruptions at different disruption magnitudes. In this assessment, 56 commodities’ end-use data for the year 2012 were paired with the United States’ detail-level Benchmark Input-Output accounts to build an industrial vulnerability model. The model does not evaluate the likelihood of specific supply disruptions but can be used to assess potential industry impacts for a range of scenarios. The model findings indicate that when the supplies of mineral commodities such as mica, lithium, and fluorspar were disrupted, large overall economic decline was paired with a large decline in many industries. On the other hand, gold, lead, and rhenium disruptions resulted in low declines and few disrupted industries.

Suggested Citation

  • Manley, Ross L. & Alonso, Elisa & Nassar, Nedal T., 2022. "A model to assess industry vulnerability to disruptions in mineral commodity supplies," Resources Policy, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:jrpoli:v:78:y:2022:i:c:s0301420722003348
    DOI: 10.1016/j.resourpol.2022.102889
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    References listed on IDEAS

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    1. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    2. Skelton, Alexandra C.H. & Allwood, Julian M., 2013. "The incentives for supply chain collaboration to improve material efficiency in the use of steel: An analysis using input output techniques," Ecological Economics, Elsevier, vol. 89(C), pages 33-42.
    3. Yossi Sheffi, 2005. "The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262693496, April.
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    Cited by:

    1. Yu, Zhen & Wang, Yilan & Ma, Xiaoqian & Shuai, Chuanmin & Zhao, Yujia, 2023. "How critical mineral supply security affects China NEVs industry? Based on a prediction for chromium and cobalt in 2030," Resources Policy, Elsevier, vol. 85(PB).
    2. Manley, Ross L. & Alonso, Elisa & Nassar, Nedal T., 2022. "Examining industry vulnerability: A focus on mineral commodities used in the automotive and electronics industries," Resources Policy, Elsevier, vol. 78(C).
    3. Fernandez, Viviana & Pastén-Henríquez, Boris & Tapia-Griñen, Pablo & Wagner, Rodrigo, 2023. "Commodity prices under the threat of operational disruptions: Labor strikes at copper mines," Journal of Commodity Markets, Elsevier, vol. 32(C).
    4. Mei, Yueru & Geng, Yong & Xiao, Shijiang & Su, Chang & Gao, Ziyan & Wei, Wendong, 2023. "Dynamic material flow analysis of rhenium in China for 2011–2020," Resources Policy, Elsevier, vol. 86(PB).

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