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Investment in new tungsten mining projects

Author

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  • Suárez Sánchez, Ana
  • Krzemień, Alicja
  • Riesgo Fernández, Pedro
  • Iglesias Rodríguez, Francisco J.
  • Sánchez Lasheras, Fernando
  • de Cos Juez, F. Javier

Abstract

This paper studies investments in new tungsten mining projects, analyzing in-depth five ready-to-go projects around the world that were presented to the financial markets by listed companies to obtain funds so that they could start operations in the near future: the Barruecopardo open-cut project in Spain (Ormonde Mining); Kilba open-cut project in Australia (Tungsten Mining); Hemerdon open-cut project in the United Kingdom (Wolf Minerals); Sangdong underground project in South Korea (Woulfe Mining); and King Island Scheelite, a mixed open-cut and underground project in Tasmania (King Island Scheelite). These investment projects were selected on the basis of having completed a Definitive Feasibility Study on October 2014 (Barruecopardo, Hemerdon, Sangdong and King Island Scheelite) according to Bloomberg. In addition, an Australian project was added within the study (Kilba) due to the high number of Australian mining companies that are developing tungsten mining projects around the world.

Suggested Citation

  • Suárez Sánchez, Ana & Krzemień, Alicja & Riesgo Fernández, Pedro & Iglesias Rodríguez, Francisco J. & Sánchez Lasheras, Fernando & de Cos Juez, F. Javier, 2015. "Investment in new tungsten mining projects," Resources Policy, Elsevier, vol. 46(P2), pages 177-190.
    • Handle: RePEc:eee:jrpoli:v:46:y:2015:i:p2:p:177-190
    DOI: 10.1016/j.resourpol.2015.10.003
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    References listed on IDEAS

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    1. Pivovarov K.V., 2014. "State Control After The Use Of Foreign Investments," Management, Academy of Municipal Administration, vol. 9(2), pages 113-121, February.
    2. Gomaa, Mohamed & Kanagaretnam, Kiridaran & Mestelman, Stuart & Shehata, Mohamed, 2015. "Exercising empowerment in an investment environment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 7(C), pages 33-41.
    3. Xiongfei Jian & Xun Li & Fahuai Yi, 2014. "Optimal Investment with Stopping in Finite Horizon," Papers 1406.6940, arXiv.org.
    4. Auger, Felipe & Ignacio Guzmán, Juan, 2010. "How rational are investment decisions in the copper industry?," Resources Policy, Elsevier, vol. 35(4), pages 292-300, December.
    5. Kenneth W. Clements & Liang Li, 2014. "Valuing Resource Investments," Economics Discussion / Working Papers 14-27, The University of Western Australia, Department of Economics.
    6. Leonardo Baccini & Quan Li & Irina Mirkina, 2014. "Corporate Tax Cuts And Foreign Direct Investment," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 33(4), pages 977-1006, September.
    7. Kriechbaumer, Thomas & Angus, Andrew & Parsons, David & Rivas Casado, Monica, 2014. "An improved wavelet–ARIMA approach for forecasting metal prices," Resources Policy, Elsevier, vol. 39(C), pages 32-41.
    8. Slade, Margaret E., 2001. "Valuing Managerial Flexibility: An Application of Real-Option Theory to Mining Investments," Journal of Environmental Economics and Management, Elsevier, vol. 41(2), pages 193-233, March.
    9. Myshko A.М., 2014. "Тhe Investment Policy Of Development Of Sea Ports," Management, Academy of Municipal Administration, vol. 10(2), pages 241-250, February.
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    Cited by:

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    4. Sterba, Jiri & Krzemień, Alicja & Riesgo Fernández, Pedro & Escanciano García-Miranda, Carmen & Fidalgo Valverde, Gregorio, 2019. "Lithium mining: Accelerating the transition to sustainable energy," Resources Policy, Elsevier, vol. 62(C), pages 416-426.
    5. Fox, Kenneth A., 2017. "The usefulness of NI 43-101 technical reports for financial analysts," Resources Policy, Elsevier, vol. 51(C), pages 225-233.
    6. Obadia Kyetuza Bishoge & Lingling Zhang & Witness Gerald Mushi, 2018. "The Potential Renewable Energy for Sustainable Development in Tanzania: A Review," Clean Technol., MDPI, vol. 1(1), pages 1-19, July.
    7. Shigetomi, Yosuke & Nansai, Keisuke & Kagawa, Shigemi & Kondo, Yasushi & Tohno, Susumu, 2017. "Economic and social determinants of global physical flows of critical metals," Resources Policy, Elsevier, vol. 52(C), pages 107-113.
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