IDEAS home Printed from https://ideas.repec.org/p/qed/dpaper/304.html
   My bibliography  Save this paper

Investment Appraisal of Mining Projects Employing the FAST Modeling Standard

Author

Listed:
  • Shahryar Afra

    (Cambridge Resources International Inc.)

Abstract

In this study a project model is built to conduct an appraisal and sensitivity analysis of a gold mine. At the same time, the most up to date modeling standard, known as FAST (i.e., Flexible, Appropriate, Structured, and Transparent), is implemented. The purpose of choosing this standard is to identify the strengths and weaknesses that may result from the implementation of this methodology for the modeling project appraisals. The FAST standard noticeably reduces the rate of error, while the speed of modeling and the appraisal of investment projects increase noticeably. The results of the analysis using FAST also becomes more communicable after implementing this standard. An important conclusion of the appraisal is that the royalty rates charged by governments on the extraction of gold are found to be too insensitive to the magnitude of the financial surplus generated by a specific mine. In particular, our study suggests that even if the royalty rates are increased up to six times, the project still generates a positive financial net present value for the mine owners. According to this finding it should be a public finance priority to redesign the systems for setting royalty rates in mineral producing countries that would allow host countries to benefit more from high return investments while at the same time not damaging the financial viability of higher cost natural resource extraction projects.

Suggested Citation

  • Shahryar Afra, 2017. "Investment Appraisal of Mining Projects Employing the FAST Modeling Standard," Development Discussion Papers 2017-07, JDI Executive Programs.
  • Handle: RePEc:qed:dpaper:304
    as

    Download full text from publisher

    File URL: https://cri-world.com/publications/qed_dp_304.pdf
    Download Restriction: no

    File URL: https://cri-world.com/publications/qed_dp_304_a1.xlsx
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ousman Gajigo & Emelly Mutambatsere & Guirane Samba Ndiaye, 2012. "Working Paper 147 - Gold Mining in Africa-Maximizing Economic Returns for Countries," Working Paper Series 378, African Development Bank.
    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. Amos James Ibrahim-Shwilima, 2016. "Economic growth and nonrenewable resources: An empirical investigation," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 6(2), pages 26-41, February.
    2. Amos James Ibrahim-Shwilima & Hideki Konishi, 2014. "The Impact of Tax Concessions on Extraction of Non-renewable Resources:An Application to Gold Mining in Tanzania," Working Papers 1403, Waseda University, Faculty of Political Science and Economics.
    3. Bourgain, Arnaud & Zanaj, Skerdilajda, 2020. "A tax competition approach to resource taxation in developing countries," Resources Policy, Elsevier, vol. 65(C).
    4. Amos James Ibrahim-Shwilima, 2015. "Economic growth and nonrenewable resources: An empirical investigation," Working Papers 1416, Waseda University, Faculty of Political Science and Economics.
    5. Luisito Bertinelli & Arnaud Bourgain & Skerdilajda Zanaj, 2019. "Profit taxation and royalties: evidence from gold mines in Sub-Saharan Africa," DEM Discussion Paper Series 19-15, Department of Economics at the University of Luxembourg.
    6. Elbra Ainsley D., 2014. "Interests need not be pursued if they can be created: private governance in African gold mining," Business and Politics, De Gruyter, vol. 16(2), pages 1-20, August.
    7. Macatangay, Rafael Emmanuel “Manny”, 2016. "Optimal local content requirement policies for extractive industries," Resources Policy, Elsevier, vol. 50(C), pages 244-252.

    More about this item

    Keywords

    Investment Appraisal; Royalty Rates; Gold Mine; FAST Modeling Standard; Financial and Sensitivity Analysis;
    All these keywords.

    JEL classification:

    • L72 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Other Nonrenewable Resources
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • L78 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:qed:dpaper:304. 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: Mark Babcock (email available below). General contact details of provider: https://edirc.repec.org/data/qedquca.html .

    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.