IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v46y2015ip2p177-190.html
   My bibliography  Save this article

Investment in new tungsten mining projects

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030142071500094X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2015.10.003?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. 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.
    2. 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.
    3. Pivovarov K.V., 2014. "State Control After The Use Of Foreign Investments," Management, Academy of Municipal Administration, vol. 9(2), pages 113-121, February.
    4. 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.
    5. 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.
    6. 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.
    7. Xiongfei Jian & Xun Li & Fahuai Yi, 2014. "Optimal Investment with Stopping in Finite Horizon," Papers 1406.6940, arXiv.org.
    8. Kenneth W. Clements & Liang Li, 2014. "Valuing Resource Investments," Economics Discussion / Working Papers 14-27, The University of Western Australia, Department of Economics.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fox, Kenneth A., 2017. "The usefulness of NI 43-101 technical reports for financial analysts," Resources Policy, Elsevier, vol. 51(C), pages 225-233.
    2. Riesgo García, María Victoria & Krzemień, Alicja & Manzanedo del Campo, Miguel Ángel & Menéndez Álvarez, Mario & Gent, Malcolm Richard, 2017. "Rare earth elements mining investment: It is not all about China," Resources Policy, Elsevier, vol. 53(C), pages 66-76.
    3. 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.
    4. 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.
    5. Zhang, Hong & Nguyen, Hoang & Bui, Xuan-Nam & Nguyen-Thoi, Trung & Bui, Thu-Thuy & Nguyen, Nga & Vu, Diep-Anh & Mahesh, Vinyas & Moayedi, Hossein, 2020. "Developing a novel artificial intelligence model to estimate the capital cost of mining projects using deep neural network-based ant colony optimization algorithm," Resources Policy, Elsevier, vol. 66(C).
    6. Colvin, R.M. & Witt, G.Bradd & Lacey, Justine, 2016. "How wind became a four-letter word: Lessons for community engagement from a wind energy conflict in King Island, Australia," Energy Policy, Elsevier, vol. 98(C), pages 483-494.
    7. Krzemień, Alicja & Riesgo Fernández, Pedro & Suárez Sánchez, Ana & Diego Álvarez, Isidro, 2016. "Beyond the pan-european standard for reporting of exploration results, mineral resources and reserves," Resources Policy, Elsevier, vol. 49(C), pages 81-91.
    8. 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.
    9. Jia, Nanfei & Pi, Zhengrong & Zuo, Min & Liu, Donghui & An, Haizhong & Wang, Jialiang, 2024. "Structural evolution and the influence mechanism of the global embedded tungsten value flow networks: The perspective of value chain and technological progress," Resources Policy, Elsevier, vol. 91(C).

    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. Krzemień, Alicja & Riesgo Fernández, Pedro & Suárez Sánchez, Ana & Diego Álvarez, Isidro, 2016. "Beyond the pan-european standard for reporting of exploration results, mineral resources and reserves," Resources Policy, Elsevier, vol. 49(C), pages 81-91.
    2. Martin, Nigel & Rice, John, 2015. "Improving Australia's renewable energy project policy and planning: A multiple stakeholder analysis," Energy Policy, Elsevier, vol. 84(C), pages 128-141.
    3. Andrea Beltratti & Giovanna Paladino, 2015. "Bank leverage and profitability: Evidence from a sample of international banks," Review of Financial Economics, John Wiley & Sons, vol. 27(1), pages 46-57, November.
    4. Beltratti, Andrea & Paladino, Giovanna, 2015. "Bank leverage and profitability: Evidence from a sample of international banks," Review of Financial Economics, Elsevier, vol. 27(C), pages 46-57.
    5. Auer, Benjamin R., 2016. "On time-varying predictability of emerging stock market returns," Emerging Markets Review, Elsevier, vol. 27(C), pages 1-13.
    6. Savolainen, Jyrki, 2016. "Real options in metal mining project valuation: Review of literature," Resources Policy, Elsevier, vol. 50(C), pages 49-65.
    7. Ozbafli, Aygul & Jenkins, Glenn P., 2015. "The willingness to pay by households for improved reliability of electricity service in North Cyprus," Energy Policy, Elsevier, vol. 87(C), pages 359-369.
    8. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    9. Henriques, Irene & Sadorsky, Perry, 2023. "Forecasting rare earth stock prices with machine learning," Resources Policy, Elsevier, vol. 86(PA).
    10. Guedes, José & Santos, Pedro, 2016. "Valuing an offshore oil exploration and production project through real options analysis," Energy Economics, Elsevier, vol. 60(C), pages 377-386.
    11. Li, Ning & Li, Jiaojiao & Wang, Qizhou & Yan, Dairong & Wang, Liguan & Jia, Mingtao, 2024. "A novel copper price forecasting ensemble method using adversarial interpretive structural model and sparrow search algorithm," Resources Policy, Elsevier, vol. 91(C).
    12. Ferguson, Andrew & Hu, Wei & Lam, Peter, 2022. "Political uncertainty and deal structure: Evidence from Australian mining project acquisitions," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    13. Abdullah Almansour & Margaret Insley, 2016. "The Impact of Stochastic Extraction Cost on the Value of an Exhaustible Resource: An Application to the Alberta Oil Sands," The Energy Journal, , vol. 37(2), pages 61-88, April.
    14. Santen, Nidhi R. & Anadon, Laura Diaz, 2016. "Balancing solar PV deployment and RD&D: A comprehensive framework for managing innovation uncertainty in electricity technology investment planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 560-569.
    15. Alameer, Zakaria & Elaziz, Mohamed Abd & Ewees, Ahmed A. & Ye, Haiwang & Jianhua, Zhang, 2019. "Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm," Resources Policy, Elsevier, vol. 61(C), pages 250-260.
    16. George Charalampopoulos & Dimitris Katsianis & Dimitris Varoutas, 2022. "Economic replicability tests: an “out-of-the-box” implementation," Netnomics, Springer, vol. 22(2), pages 115-138, October.
    17. Insley, Margaret, 2017. "Resource extraction with a carbon tax and regime switching prices: Exercising your options," Energy Economics, Elsevier, vol. 67(C), pages 1-16.
    18. Insley, M.C. & Wirjanto, T.S., 2010. "Contrasting two approaches in real options valuation: Contingent claims versus dynamic programming," Journal of Forest Economics, Elsevier, vol. 16(2), pages 157-176, April.
    19. Guo, Honggang & Wang, Jianzhou & Li, Zhiwu & Lu, Haiyan & Zhang, Linyue, 2022. "A non-ferrous metal price ensemble prediction system based on innovative combined kernel extreme learning machine and chaos theory," Resources Policy, Elsevier, vol. 79(C).
    20. Ewees, Ahmed A. & Elaziz, Mohamed Abd & Alameer, Zakaria & Ye, Haiwang & Jianhua, Zhang, 2020. "Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility," Resources Policy, Elsevier, vol. 65(C).

    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:46:y:2015:i:p2:p:177-190. 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.