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Beyond the pan-european standard for reporting of exploration results, mineral resources and reserves

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  • Krzemień, Alicja
  • Riesgo Fernández, Pedro
  • Suárez Sánchez, Ana
  • Diego Álvarez, Isidro

Abstract

The aim of this paper is to analyse in detail the “Pan-European Standard for Reporting of Exploration Results, Mineral Resources and Reserves,” which is commonly known as the PERC Reporting Standard.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jrpoli:v:49:y:2016:i:c:p:81-91
    DOI: 10.1016/j.resourpol.2016.04.008
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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. Sánchez Lasheras, Fernando & de Cos Juez, Francisco Javier & Suárez Sánchez, Ana & Krzemień, Alicja & Riesgo Fernández, Pedro, 2015. "Forecasting the COMEX copper spot price by means of neural networks and ARIMA models," Resources Policy, Elsevier, vol. 45(C), pages 37-43.
    3. Xiongfei Jian & Xun Li & Fahuai Yi, 2014. "Optimal Investment with Stopping in Finite Horizon," Papers 1406.6940, arXiv.org.
    4. ., 2014. "The investment demand constraint and the FX market," Chapters, in: Money, Banking and the Foreign Exchange Market in Emerging Economies, chapter 6, pages 118-149, Edward Elgar Publishing.
    5. Weron, Rafal & Misiorek, Adam, 2008. "Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models," International Journal of Forecasting, Elsevier, vol. 24(4), pages 744-763.
    6. 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.
    7. Crespo Cuaresma, Jesús & Hlouskova, Jaroslava & Kossmeier, Stephan & Obersteiner, Michael, 2004. "Forecasting electricity spot-prices using linear univariate time-series models," Applied Energy, Elsevier, vol. 77(1), pages 87-106, January.
    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. 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.
    10. Dehghani, Hesam & Ataee-pour, Majid & Esfahanipour, Akbar, 2014. "Evaluation of the mining projects under economic uncertainties using multidimensional binomial tree," Resources Policy, Elsevier, vol. 39(C), pages 124-133.
    11. 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.
    12. 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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    2. Rudolf Suppes & Soraya Heuss-Aßbichler, 2021. "How to Identify Potentials and Barriers of Raw Materials Recovery from Tailings? Part II: A Practical UNFC-Compliant Approach to Assess Project Sustainability with On-Site Exploration Data," Resources, MDPI, vol. 10(11), pages 1-48, October.
    3. 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.
    4. Fox, Kenneth A., 2017. "The usefulness of NI 43-101 technical reports for financial analysts," Resources Policy, Elsevier, vol. 51(C), pages 225-233.
    5. Riesgo García, María Victoria & Krzemień, Alicja & Sáiz Bárcena, Lourdes Cecilia & Diego Álvarez, Isidro & Castañón Fernández, César, 2019. "Scoping studies of rare earth mining investments: Deciding on further project developments," Resources Policy, Elsevier, vol. 64(C).
    6. Sterba, Jiri & Krzemień, Alicja & Fidalgo Valverde, Gregorio & Diego Álvarez, Isidro & Castañón Fernández, César, 2020. "Energy-sustainable industrialized growth in the Czech Republic: The Cínovec lithium mining project," Resources Policy, Elsevier, vol. 68(C).
    7. Matyjaszek, Marta & Riesgo Fernández, Pedro & Krzemień, Alicja & Wodarski, Krzysztof & Fidalgo Valverde, Gregorio, 2019. "Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory," Resources Policy, Elsevier, vol. 61(C), pages 283-292.
    8. Adam Duda & Gregorio Fidalgo Valverde, 2021. "The Economics of Coking Coal Mining: A Fossil Fuel Still Needed for Steel Production," Energies, MDPI, vol. 14(22), pages 1-12, November.
    9. Buelga Díaz, Arturo & Diego Álvarez, Isidro & Castañón Fernández, César & Krzemień, Alicja & Iglesias Rodríguez, Francisco Javier, 2021. "Calculating ultimate pit limits and determining pushbacks in open-pit mining projects," Resources Policy, Elsevier, vol. 72(C).

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