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The Relationship Between Prices of Various Metals, Oil and Scarcity

Author

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  • József Popp

    (Faculty of Economics and Business, Institute of Sectoral Economics and Methodology, University of Debrecen, 4032 Debrecen, Hungary)

  • Judit Oláh

    (Faculty of Economics and Business, Institute of Applied Informatics and Logistics, University of Debrecen, 4032 Debrecen, Hungary)

  • Mária Farkas Fekete

    (Department of Microeconomics, Faculty of Economics and Social Sciences, Szent István University, 2100 Gödöllő, Hungary)

  • Zoltán Lakner

    (Faculty of Food Science, Szent István University, 1007 Budapest, Hungary)

  • Domicián Máté

    (Institute of Accounting and Finance, Controlling Department, Faculty of Economics and Business, University of Debrecen, 4028 Debrecen, Hungary)

Abstract

No consensus has been reached on the problem of solving resource depletion. A recognition of the fact that resources are not endless and the Earth is a finite globe reinforces the idea that the vision of continuous economic growth is not sustainable over time. The aim of this paper is to examine the efficacy of real prices as an indicator of metals and oil in consideration of growth tendencies in the Consumer Price Indexes. In addition, enhancing the current literature on commodity price interrelationships, the main contribution of this study is the substitution of different proxies in order to justify the effect of scarcity and crude oil changes on the examined metal group prices. In order to demonstrate the usefulness of scarcity as an indicator of real price deviations, the study has been conducted involving various non-renewable metals, i.e., copper, molybdenum, zinc, gold and platinum group metals. The real price indices and metal prices of the US market are constructed between 1913 and 2015. Moreover, additional econometric analyses are also carried out to discover whether prices of various metals associate with oil prices and scarcity, as the proxy of reserves-to-production ratio. The linear regression results seem to suggest that the effects of the R/P ratios are negatively correlated with each of the examined precious (gold, PGMs), mass consumable (copper, zinc) and doping agent (molybdenum) metals from 1991 to 2015. An increase in oil-prices is positively associated with the price levels of each non-renewable resource in the short-run. The findings of multivariate co-integration and Granger causality tests also suggest that pairwise and direct relationships among these variables seem to arise in the long-run. These findings indicate essential questions that must be addressed by future generations in order to appropriately solve scarcity problems.

Suggested Citation

  • József Popp & Judit Oláh & Mária Farkas Fekete & Zoltán Lakner & Domicián Máté, 2018. "The Relationship Between Prices of Various Metals, Oil and Scarcity," Energies, MDPI, vol. 11(9), pages 1-19, September.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2392-:d:169104
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    as
    1. David E. Allen & Chialin Chang & Michael McAleer & Abhay K Singh, 2018. "A cointegration analysis of agricultural, energy and bio-fuel spot, and futures prices," Applied Economics, Taylor & Francis Journals, vol. 50(7), pages 804-823, February.
    2. Humphreys, David, 2010. "The great metals boom: A retrospective," Resources Policy, Elsevier, vol. 35(1), pages 1-13, March.
    3. Baffes, John, 2007. "Oil spills on other commodities," Resources Policy, Elsevier, vol. 32(3), pages 126-134, September.
    4. Rodriguez Acosta, Mauricio, 2018. "Resource management under endogenous risk of expropriation," Resource and Energy Economics, Elsevier, vol. 52(C), pages 1-17.
    5. Tilton, John E. & Lagos, Gustavo, 2007. "Assessing the long-run availability of copper," Resources Policy, Elsevier, vol. 32(1-2), pages 19-23.
    6. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    7. V. Kerry Smith, 1978. "Scarcity and Growth Reconsidered," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(2), pages 284-289.
    8. Cuddington, John T. & Nülle, Grant, 2014. "Variable long-term trends in mineral prices: The ongoing tug-of-war between exploration, depletion, and technological change," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 224-252.
    9. David I. Harvey & Neil M. Kellard & Jakob B. Madsen & Mark E. Wohar, 2010. "The Prebisch-Singer Hypothesis: Four Centuries of Evidence," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 367-377, May.
    10. Svedberg, Peter & Tilton, John E., 2006. "The real, real price of nonrenewable resources: copper 1870-2000," World Development, Elsevier, vol. 34(3), pages 501-519, March.
    11. Cochran, Steven J. & Mansur, Iqbal & Odusami, Babatunde, 2012. "Volatility persistence in metal returns: A FIGARCH approach," Journal of Economics and Business, Elsevier, vol. 64(4), pages 287-305.
    12. Hooker, Mark A, 2002. "Are Oil Shocks Inflationary? Asymmetric and Nonlinear Specifications versus Changes in Regime," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 540-561, May.
    13. Pindyck, Robert S & Rotemberg, Julio J, 1990. "The Excess Co-movement of Commodity Prices," Economic Journal, Royal Economic Society, vol. 100(403), pages 1173-1189, December.
    14. Cuddington, John T, 2010. "Long-term trends in the Real real prices of primary commodities: Inflation bias and the Prebisch-Singer hypothesis," Resources Policy, Elsevier, vol. 35(2), pages 72-76, June.
    15. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    16. Gil-Alana, Luis A. & Tripathy, Trilochan, 2014. "Modelling volatility persistence and asymmetry: A Study on selected Indian non-ferrous metals markets," Resources Policy, Elsevier, vol. 41(C), pages 31-39.
    17. Batten, Jonathan A. & Ciner, Cetin & Lucey, Brian M., 2010. "The macroeconomic determinants of volatility in precious metals markets," Resources Policy, Elsevier, vol. 35(2), pages 65-71, June.
    18. Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39, pages 137-137.
    19. Henckens, M.L.C.M. & van Ierland, E.C. & Driessen, P.P.J. & Worrell, E., 2016. "Mineral resources: Geological scarcity, market price trends, and future generations," Resources Policy, Elsevier, vol. 49(C), pages 102-111.
    20. Speight, Alan E. H. & McMillan, David G., 2001. "Volatility spillovers in East European black-market exchange rates," Journal of International Money and Finance, Elsevier, vol. 20(3), pages 367-378, June.
    21. Panas, E., 2001. "Long memory and chaotic models of prices on the London Metal Exchange," Resources Policy, Elsevier, vol. 27(4), pages 235-246, December.
    22. Dominika Moravcikova & Anna Krizanova & Jana Kliestikova & Martina Rypakova, 2017. "Green Marketing as the Source of the Competitive Advantage of the Business," Sustainability, MDPI, vol. 9(12), pages 1-13, November.
    23. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    24. Rosenau-Tornow, Dirk & Buchholz, Peter & Riemann, Axel & Wagner, Markus, 2009. "Assessing the long-term supply risks for mineral raw materials--a combined evaluation of past and future trends," Resources Policy, Elsevier, vol. 34(4), pages 161-175, December.
    25. Heal, Geoffrey, 1981. " Scarcity, Efficiency and Disequilibrium in Resource Markets," Scandinavian Journal of Economics, Wiley Blackwell, vol. 83(2), pages 334-351.
    26. Shawkat Hammoudeh & Ramazan Sari & Bradley T. Ewing, 2009. "Relationships Among Strategic Commodities And With Financial Variables: A New Look," Contemporary Economic Policy, Western Economic Association International, vol. 27(2), pages 251-264, April.
    27. Zhang, Yue-Jun & Wei, Yi-Ming, 2010. "The crude oil market and the gold market: Evidence for cointegration, causality and price discovery," Resources Policy, Elsevier, vol. 35(3), pages 168-177, September.
    28. Sari, Ramazan & Hammoudeh, Shawkat & Soytas, Ugur, 2010. "Dynamics of oil price, precious metal prices, and exchange rate," Energy Economics, Elsevier, vol. 32(2), pages 351-362, March.
    29. Margaret E. Slade & Henry Thille, 2009. "Whither Hotelling: Tests of the Theory of Exhaustible Resources," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 239-259, September.
    30. Michael Melvin & Jahangir Sultan, 1990. "South African political unrest, oil prices, and the time varying risk premium in the gold futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 10(2), pages 103-111, April.
    31. Benjamin Hunt, 2006. "Oil Price Shocks and the U.S. Stagflation of the 1970s: Some Insights from GEM," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 61-80.
    32. Boskin, Michael J, et al, 1997. "The CPI Commission: Findings and Recommendations," American Economic Review, American Economic Association, vol. 87(2), pages 78-83, May.
    33. Leybourne, S. Y. & Lloyd, T. A. & Reed, G. V., 1994. "The excess comovement of commodity prices revisited," World Development, Elsevier, vol. 22(11), pages 1747-1758, November.
    34. Tilton, John E., 1996. "Exhaustible resources and sustainable development : Two different paradigms," Resources Policy, Elsevier, vol. 22(1-2), pages 91-97.
    35. Dora L. Costa & Matthew E. Kahn, 2003. "The Rising Price of Nonmarket Goods," American Economic Review, American Economic Association, vol. 93(2), pages 227-232, May.
    36. Chen, Mei-Hsiu, 2010. "Understanding world metals prices--Returns, volatility and diversification," Resources Policy, Elsevier, vol. 35(3), pages 127-140, September.
    37. Gleich, Benedikt & Achzet, Benjamin & Mayer, Herbert & Rathgeber, Andreas, 2013. "An empirical approach to determine specific weights of driving factors for the price of commodities—A contribution to the measurement of the economic scarcity of minerals and metals," Resources Policy, Elsevier, vol. 38(3), pages 350-362.
    38. Christopher A. Scott & Zachary P. Sugg, 2015. "Global Energy Development and Climate-Induced Water Scarcity—Physical Limits, Sectoral Constraints, and Policy Imperatives," Energies, MDPI, vol. 8(8), pages 1-15, August.
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