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Evaluating criticality of strategic metals: Are the Herfindahl–Hirschman Index and usual concentration thresholds still relevant?

Author

Listed:
  • Pauline Bucciarelli

    (IFPEN - IFP Energies nouvelles, EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Emmanuel Hache

    (IFPEN - IFP Energies nouvelles, EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique, IRIS - Institut de Relations Internationales et Stratégiques)

  • Valérie Mignon

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique, CEPII - Centre d'Etudes Prospectives et d'Informations Internationales - Centre d'analyse stratégique)

Abstract

This paper aims to evaluate the criticality of strategic metals by (i) investigating the validity of the Herfindahl-Hirschman Index (HHI) for assessing the supply risk aspect of criticality and (ii) determining an appropriate threshold for using this indicator in the context of criticality studies. Relying on a large panel of 33 strategic metals over the 1995-2021 period, our findings show that the variation of HHI has more impact on metal prices at lower HHI levels and question the existence of a threshold that clearly distinguishes high-risk markets from less risky ones based on their concentration levels. Overall, we show that using the HHI as a supply risk indicator, especially in conjunction with a threshold, may result in underestimating risks in less concentrated markets.

Suggested Citation

  • Pauline Bucciarelli & Emmanuel Hache & Valérie Mignon, 2023. "Evaluating criticality of strategic metals: Are the Herfindahl–Hirschman Index and usual concentration thresholds still relevant?," Working Papers hal-04452384, HAL.
  • Handle: RePEc:hal:wpaper:hal-04452384
    Note: View the original document on HAL open archive server: https://hal.science/hal-04452384v1
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    Cited by:

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    2. Richard Schmitz & Franziska Flachsbarth & Leonie Sara Plaga & Martin Braun & Philipp Hartel, 2025. "Energy Security and Resilience: Reviewing Concepts and Advancing Planning Perspectives for Transforming Integrated Energy Systems," Papers 2504.18396, arXiv.org.
    3. Jean-Baptiste Hasse & Capucine Nobletz, 2024. "Critical Raw Materials Index -CRMI," Working Papers hal-04759077, HAL.
    4. Feix, Thibaut & Hache, Emmanuel, 2025. "Cumulative Energy Demand and Global Warming Potential of metals and minerals production: Assessment, projections and mitigation options," Resources Policy, Elsevier, vol. 102(C).
    5. Hugo Daniel García Juárez & Jose Carlos Montes Ninaquispe & Sandra Lizzette León Luyo & Heyner Yuliano Marquez Yauri & Carlos Enrique Mendoza Ocaña & Nelly Victoria De La Cruz Ruiz & Sarita Jessica Ap, 2025. "Competitiveness and Diversification in Grape Exports: Keys to Their Sustainability in Global Markets," Agriculture, MDPI, vol. 15(17), pages 1-21, September.
    6. Jingxin Nie & Tiantian Li & Tianming Zheng, 2025. "How Does the Scale and Functional Diversity of the Innovation Cooperation Network Affect Local Innovation? Township-Level Evidence from Beijing," Land, MDPI, vol. 14(5), pages 1-24, May.
    7. Faubert Violaine & Nathan Guess & Julien Le Roux, 2024. "Capital in the Twenty-First Century: Who Owns the Capital of Firms Producing Critical Raw Materials?," Working papers 952, Banque de France.

    More about this item

    Keywords

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    JEL classification:

    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • Q34 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Natural Resources and Domestic and International Conflicts
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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