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From exploration to production: Understanding the development dynamics of lithium mining projects

Author

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  • Buarque Andrade, Laura
  • Frenzel, Max
  • Bookhagen, Britta
  • Kresse, Carolin
  • Schmidt, Michael
  • Nassar, Nedal
  • Alonso, Elisa
  • Shojaeddini, Ensieh
  • Sandmann, Dirk

Abstract

There has been considerable recent controversy whether current and new lithium mines will be able to supply the rapidly growing needs of the electromobility transition. Mineral exploration projects are typically active for many years, and only some become operational mines. From exploration to production, the projects go through several stages of characterisation and evaluation. At each stage, decisions are made by companies and stakeholders to advance, continue or stop the project. This is a complex process, and even projects with very similar geological and technical characteristics may take very different trajectories, depending on external factors such as global market conditions and local regulatory environments. The present study investigates the dynamics of this process for lithium exploration projects. A global database of 397 lithium projects was compiled, covering their progression through major development stages between 2004 and 2022. Ordinal logistic regression was used for the statistical analysis of this data. Different explanatory variables were tested, including economic, geological, technical, and geographic factors, to identify the best predictors for project progress at each development stage. The results suggest an essential role for lithium carbonate prices, and a variable role for other factors at each stage. Critically, the already elapsed lead time and project economics, which are traditionally considered important for the prediction of the start-up of individual mines, do not appear to be relevant in all cases. The results provide important insights into the dynamics of lithium supply and may eventually allow more realistic forecasts to be made for future lithium market dynamics.

Suggested Citation

  • Buarque Andrade, Laura & Frenzel, Max & Bookhagen, Britta & Kresse, Carolin & Schmidt, Michael & Nassar, Nedal & Alonso, Elisa & Shojaeddini, Ensieh & Sandmann, Dirk, 2024. "From exploration to production: Understanding the development dynamics of lithium mining projects," Resources Policy, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:jrpoli:v:99:y:2024:i:c:s0301420724007906
    DOI: 10.1016/j.resourpol.2024.105423
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    1. Sun, Xin & Hao, Han & Zhao, Fuquan & Liu, Zongwei, 2017. "Tracing global lithium flow: A trade-linked material flow analysis," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 50-61.
    2. Shaukat Khan,Tehmina & Nguyen,Trang Thi Thuy & Ohnsorge,Franziska Lieselotte & Schodde,Richard, 2016. "From commodity discovery to production," Policy Research Working Paper Series 7823, The World Bank.
    3. J. Engel, 1988. "Polytomous logistic regression," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 42(4), pages 233-252, December.
    4. Balde, Mamadou Tanou, 2020. "A brief history of time: Taxation and mineral production in developing countries," Resources Policy, Elsevier, vol. 68(C).
    5. Loann David Denis Desboulets, 2018. "A Review on Variable Selection in Regression Analysis," Econometrics, MDPI, vol. 6(4), pages 1-27, November.
    6. Andrew Ferguson & Greg Clinch & Stephen Kean, 2011. "Predicting the Failure of Developmental Gold Mining Projects," Australian Accounting Review, CPA Australia, vol. 21(1), pages 44-53, March.
    7. Jara, J. Joaquín, 2017. "Determinants of country competitiveness in attracting mining investments: An empirical analysis," Resources Policy, Elsevier, vol. 52(C), pages 65-71.
    8. Alberto Moel, 2002. "When Are Real Options Exercised? An Empirical Study of Mine Closings," The Review of Financial Studies, Society for Financial Studies, vol. 15(1), pages 35-64, March.
    9. Ron Bird & Matthew Grosse & Danny Yeung, 2013. "The market response to exploration, resource and reserve announcements by mining companies: Australian data," Australian Journal of Management, Australian School of Business, vol. 38(2), pages 311-331, August.
    10. Kharitonova, M. & Mikhailov, A. & Matsko, N., 2013. "Influence of the time factor on the availability of deposits of nonferrous metals," Resources Policy, Elsevier, vol. 38(4), pages 490-495.
    11. Favero, Carlo A & Pesaran, M Hashem & Sharma, Sunil, 1994. "A Duration Model of Irreversible Oil Investment: Theory and Empirical Evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(S), pages 95-112, Suppl. De.
    12. Rosenbaum, Paul R., 2010. "Design Sensitivity and Efficiency in Observational Studies," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 692-702.
    13. Heijlen, Wouter & Franceschi, Guy & Duhayon, Chris & Van Nijen, Kris, 2021. "Assessing the adequacy of the global land-based mine development pipeline in the light of future high-demand scenarios: The case of the battery-metals nickel (Ni) and cobalt (Co)," Resources Policy, Elsevier, vol. 73(C).
    14. José Joaquín Jara & Stefano Delucchi & David Peters & Gustavo Lagos & Carlos Marquardt, 2020. "Attracting mining investments: the relationship between natural endowments and public policies," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 33(1), pages 231-243, July.
    15. Hanjiro Ambrose & Alissa Kendall, 2020. "Understanding the future of lithium: Part 1, resource model," Journal of Industrial Ecology, Yale University, vol. 24(1), pages 80-89, February.
    16. Jara, J. Joaquin & Lagos, Gustavo & Tilton, John E., 2008. "Using exploration expenditures to assess the climate for mineral investment," Resources Policy, Elsevier, vol. 33(4), pages 179-187, December.
    17. Loann D. Desboulets, 2018. "A Review on Variable Selection in Regression Analysis," AMSE Working Papers 1852, Aix-Marseille School of Economics, France.
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    2. Wang, Yitian & Vespignani, Joaquin & Smyth, Russell, 2025. "Stockpiling or Recycling? Country-Specific Strategies for EV Battery Mineral Security," MPRA Paper 127186, University Library of Munich, Germany.

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