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Conceptualization and parameterization of the market price mechanism in the WORLD6 model for metals, materials, and fossil fuels

Author

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  • Harald Ulrik Sverdrup

    (University of Iceland
    Norse Metal a/s)

  • Anna Hulda Olafsdottir

    (University of Iceland)

Abstract

A model for market price modeling in an integrated global model for resource supply has been developed and successfully applied in the WORLD6 model. A dynamic market and price model has been developed, based on immediately tradable amounts, affected by supply and demand. Real-world drivers and a systems approach with feedbacks in the price setting and market mechanisms were used in this study, without the model becoming too complex. Observed cause and effects and feedbacks were included, in order to have explanatory power or be truer to economic reality in terms of both structure and parameter settings. The model is adaptive from a fully free dynamic market to a biased or oligarchic market, depending on the condition. The market price model was parameterized for copper, zinc, lead, nickel, iron, aluminum, wolfram, niobium, molybdenum, lithium, vanadium, gold, silver, platinum, palladium, and tin, and for fossil fuels like oil and hard coal. The equation has the shape: price = k × market amount n, where market amount is the instantly tradable amount of metal in the market arena, k is a metal-specific coefficient, and n is an exponent. The derived equations were applied in the WORLD6 model, making simulations of market price set every day endogenously in the model possible. The price mechanism proposed here perform well in tests against observed data when included in the WORLD6 model. The obtained results were compared to a price curve for coffee and a similar pattern was found.

Suggested Citation

  • Harald Ulrik Sverdrup & Anna Hulda Olafsdottir, 2020. "Conceptualization and parameterization of the market price mechanism in the WORLD6 model for metals, materials, and fossil fuels," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 33(3), pages 285-310, October.
    • Handle: RePEc:spr:minecn:v:33:y:2020:i:3:d:10.1007_s13563-019-00182-7
    DOI: 10.1007/s13563-019-00182-7
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    References listed on IDEAS

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    1. Olafsdottir, Anna Hulda & Gudbrandsdottir, Ingunn & Sverdrup, Harald U. & Bogason, Sigurdur G. & Olafsdottir, Gudrun & Stefansson, Gunnar, 2018. "Applying System Analysis and System Dynamics Modelling In Complex Research Projects - The Case Of VALUMICS," 2018 International European Forum (163rd EAAE Seminar), February 5-9, 2018, Innsbruck-Igls, Austria 276883, International European Forum on System Dynamics and Innovation in Food Networks.
    2. Harald Ulrik Sverdrup & Anna Hulda Olafsdottir & Kristin Vala Ragnarsdottir & Deniz Koca, 2018. "A System Dynamics Assessment of the Supply of Molybdenum and Rhenium Used for Super-alloys and Specialty Steels, Using the WORLD6 Model," Biophysical Economics and Resource Quality, Springer, vol. 3(3), pages 1-43, September.
    3. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    4. Boulamanti, Aikaterini & Moya, Jose Antonio, 2016. "Production costs of the non-ferrous metals in the EU and other countries: Copper and zinc," Resources Policy, Elsevier, vol. 49(C), pages 112-118.
    5. Mudd, Gavin M., 2010. "The Environmental sustainability of mining in Australia: key mega-trends and looming constraints," Resources Policy, Elsevier, vol. 35(2), pages 98-115, June.
    6. R. H. E. M. Koppelaar & H. Koppelaar, 2016. "The Ore Grade and Depth Influence on Copper Energy Inputs," Biophysical Economics and Resource Quality, Springer, vol. 1(2), pages 1-16, December.
    7. Phillips, W. G. B. & Edwards, D. P., 1976. "Metal prices as a function of ore grade," Resources Policy, Elsevier, vol. 2(3), pages 167-178, September.
    8. Kyle E. Binder & James W. Mjelde, 2017. "Fuel inventory and price relationships in the U.S. electric power sector under regulatory and market change," Journal of Regulatory Economics, Springer, vol. 51(2), pages 197-219, April.
    9. Buncic, Daniel & Moretto, Carlo, 2015. "Forecasting copper prices with dynamic averaging and selection models," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 1-38.
    10. Anna Alexandrova & Robert Northcott, 2013. "It's just a feeling: why economic models do not explain," Journal of Economic Methodology, Taylor & Francis Journals, vol. 20(3), pages 262-267, September.
    11. Radetzki,Marian, 2008. "A Handbook of Primary Commodities in the Global Economy," Cambridge Books, Cambridge University Press, number 9780521880206, Junio.
    12. Cuddington, John T. & Zellou, Abdel M., 2013. "A simple mineral market model: Can it produce super cycles in prices?," Resources Policy, Elsevier, vol. 38(1), pages 75-87.
    13. Yanjia, Wang & Chandler, William, 2010. "The Chinese nonferrous metals industry--energy use and CO2 emissions," Energy Policy, Elsevier, vol. 38(11), pages 6475-6484, November.
    14. Harald Ulrik Sverdrup & Anna Hulda Olafsdottir, 2018. "A System Dynamics Model Assessment of the Supply of Niobium and Tantalum Using the WORLD6 Model," Biophysical Economics and Resource Quality, Springer, vol. 3(2), pages 1-35, June.
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