IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v99y2024ics0301420724007906.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420724007906
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2024.105423?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jara, J. Joaquín, 2017. "Determinants of country competitiveness in attracting mining investments: An empirical analysis," Resources Policy, Elsevier, vol. 52(C), pages 65-71.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. Loann David Denis Desboulets, 2018. "A Review on Variable Selection in Regression Analysis," Econometrics, MDPI, vol. 6(4), pages 1-27, November.
    8. 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.
    9. 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.
    10. Balde, Mamadou Tanou, 2020. "A brief history of time: Taxation and mineral production in developing countries," Resources Policy, Elsevier, vol. 68(C).
    11. 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.
    12. 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.
    13. 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.
    14. J. Engel, 1988. "Polytomous logistic regression," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 42(4), pages 233-252, December.
    15. 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.
    16. 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.
    17. Loann D. Desboulets, 2018. "A Review on Variable Selection in Regression Analysis," AMSE Working Papers 1852, Aix-Marseille School of Economics, France.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Castillo, Emilio & Roa, Cintia, 2021. "Defining geological maturity: The effect of discoveries on early-stage mineral exploration," Resources Policy, Elsevier, vol. 74(C).
    2. Castillo, Emilio, 2021. "The impacts of profit-based royalties on early-stage mineral exploration," Resources Policy, Elsevier, vol. 73(C).
    3. Balde, Mamadou Tanou, 2020. "A brief history of time: Taxation and mineral production in developing countries," Resources Policy, Elsevier, vol. 68(C).
    4. Eduardo Correia & Rodrigo Calili & José Francisco Pessanha & Maria Fatima Almeida, 2023. "Definition of Regulatory Targets for Electricity Non-Technical Losses: Proposition of an Automatic Model-Selection Technique for Panel Data Regressions," Energies, MDPI, vol. 16(6), pages 1-22, March.
    5. Fakhri J. Hasanov & Muhammad Javid & Frederick L. Joutz, 2022. "Saudi Non-Oil Exports before and after COVID-19: Historical Impacts of Determinants and Scenario Analysis," Sustainability, MDPI, vol. 14(4), pages 1-38, February.
    6. Gonzalo García-Donato & María Eugenia Castellanos & Alicia Quirós, 2021. "Bayesian Variable Selection with Applications in Health Sciences," Mathematics, MDPI, vol. 9(3), pages 1-16, January.
    7. Ferguson, Andrew & Feigin, Alexey & Kean, Stephen, 2013. "Gold mine feasibility study disclosure in Australia: Determinants and implications," Resources Policy, Elsevier, vol. 38(1), pages 8-17.
    8. Kimia Keshanian & Daniel Zantedeschi & Kaushik Dutta, 2022. "Features Selection as a Nash-Bargaining Solution: Applications in Online Advertising and Information Systems," INFORMS Journal on Computing, INFORMS, vol. 34(5), pages 2485-2501, September.
    9. Laarni T. Bulan, 2005. "Real options, irreversible investment and firm uncertainty: New evidence from U.S. firms," Review of Financial Economics, John Wiley & Sons, vol. 14(3-4), pages 255-279.
    10. Gordon, Narelle & Watts, Edward & Wu, Qiongbing, 2014. "Information attributes, information asymmetry and industry sector returns," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 156-175.
    11. Moses, Olayinka & Houqe, Muhammad Nurul & van Zijl, Tony, 2018. "What is the economic value of the Extractive Industries Transparency Initiative (EITI) information disclosure?," Journal of Contemporary Accounting and Economics, Elsevier, vol. 14(2), pages 216-233.
    12. Kenneth Clements & Liang Li, 2017. "Understanding resource investments," Applied Economics, Taylor & Francis Journals, vol. 49(20), pages 1950-1962, April.
    13. Thi Bui & Andrew Ferguson & Peter Lam, 2021. "CEO compensation in early‐stage firms: Rewards for prospectivity and survival," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(5-6), pages 895-928, May.
    14. Valverde-Carbonell, Jorge & Pietrobelli, Carlo & Menéndez, María de las Mercedes, 2024. "Minerals’ criticality and countries' mining competitiveness: Two faces of the same coin," Resources Policy, Elsevier, vol. 98(C).
    15. Aneiros, Germán & Novo, Silvia & Vieu, Philippe, 2022. "Variable selection in functional regression models: A review," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
    16. Berndt Jesenko & Christian Schlögl, 2021. "The effect of web of science subject categories on clustering: the case of data-driven methods in business and economic sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6785-6801, August.
    17. 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.
    18. Bulan, Laarni T., 2005. "Real options, irreversible investment and firm uncertainty: New evidence from U.S. firms," Review of Financial Economics, Elsevier, vol. 14(3-4), pages 255-279.
    19. Marmer, Vadim & Slade, Margaret E., 2018. "Investment and uncertainty with time to build: Evidence from entry into U.S. copper mining," Journal of Economic Dynamics and Control, Elsevier, vol. 95(C), pages 233-254.
    20. Ishaya Tambari & Pierre Failler, 2020. "Determining If Oil Prices Significantly Affect Renewable Energy Investment in African Countries with Energy Security Concerns," Energies, MDPI, vol. 13(24), pages 1-21, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:99:y:2024:i:c:s0301420724007906. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.