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Companions and competitors: Joint metal-supply relationships in gold, silver, copper, lead and zinc mines

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  • Jordan, Brett W

Abstract

Firms that extract and produce multiple metals are an important component of mineral supply. The reaction of such firms to changes in their relevant output prices is tested econometrically for five metals using a panel representing more than 100 mines across the time period 1991–2005. The estimation strategy is drawn from joint production theory, namely a flexible form, dual revenue approach with seemingly unrelated regressions (SUR) estimation. The results indicate that multi-product mines respond (in the short run) to higher prices of a particular metal by reducing output of that metal (indicative of low-grading behavior) and increasing and/or decreasing output of joint metal products (indicative of substitutes and complements in supply). The price responses are not readily explained by a metal's classification as a by-product or main product based on revenue.

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  • Jordan, Brett W, 2017. "Companions and competitors: Joint metal-supply relationships in gold, silver, copper, lead and zinc mines," Resource and Energy Economics, Elsevier, vol. 49(C), pages 233-250.
    • Handle: RePEc:eee:resene:v:49:y:2017:i:c:p:233-250
    DOI: 10.1016/j.reseneeco.2017.05.003
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    1. Shinkuma, Takayoshi, 2000. "A generalization of the Cairns-Krautkraemer model and the optimality of the mining rule," Resource and Energy Economics, Elsevier, vol. 22(2), pages 147-160, May.
    2. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    3. Lee, Junsoo & List, John A. & Strazicich, Mark C., 2006. "Non-renewable resource prices: Deterministic or stochastic trends?," Journal of Environmental Economics and Management, Elsevier, vol. 51(3), pages 354-370, May.
    4. Livernois, John R & Ryan, David L, 1989. "Testing for Non-jointness in Oil and Gas Exploration: A Variable Profit Function Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(2), pages 479-504, May.
    5. Moss, R.L. & Tzimas, E. & Kara, H. & Willis, P. & Kooroshy, J., 2013. "The potential risks from metals bottlenecks to the deployment of Strategic Energy Technologies," Energy Policy, Elsevier, vol. 55(C), pages 556-564.
    6. Slade, Margaret E., 1988. "Grade selection under uncertainty: Least cost last and other anomalies," Journal of Environmental Economics and Management, Elsevier, vol. 15(2), pages 189-205, June.
    7. Krautkraemer, Jeffrey A., 1989. "Price expectations, ore quality selection, and the supply of a nonrenewable resource," Journal of Environmental Economics and Management, Elsevier, vol. 16(3), pages 253-267, May.
    8. Jackson, Christopher, 2011. "Multi-State Models for Panel Data: The msm Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 38(i08).
    9. Mudd, Gavin M., 2007. "Global trends in gold mining: Towards quantifying environmental and resource sustainability," Resources Policy, Elsevier, vol. 32(1-2), pages 42-56.
    10. Campbell, Gary A., 1985. "The role of co-products in stabilizing the metal mining industry," Resources Policy, Elsevier, vol. 11(4), pages 267-274, December.
    11. Shinkuma, Takayoshi & Nishiyama, Takashi, 2000. "The grade selection rule of the metal mines; an empirical study on copper mines," Resources Policy, Elsevier, vol. 26(1), pages 31-38, March.
    12. Fizaine, Florian, 2013. "Byproduct production of minor metals: Threat or opportunity for the development of clean technologies? The PV sector as an illustration," Resources Policy, Elsevier, vol. 38(3), pages 373-383.
    13. Farrow, Scott & Krautkraemer, Jeffrey A., 1989. "Extraction at the intensive margin : Metal supply and grade selection in response to anticipated and unanticipated price changes," Resources and Energy, Elsevier, vol. 11(1), pages 1-21, March.
    14. repec:fth:prinin:455 is not listed on IDEAS
    15. James Barney Marsh, 1983. "Keynes on the Supply of Gold: A Statistical Test," Eastern Economic Journal, Eastern Economic Association, vol. 9(1), pages 7-12, Jan-Mar.
    16. Pindyck, Robert S., 1982. "Jointly produced exhaustible resources," Journal of Environmental Economics and Management, Elsevier, vol. 9(4), pages 291-303, December.
    17. Cairns, Robert D. & Shinkuma, Takayoshi, 2003. "The choice of the cutoff grade in mining," Resources Policy, Elsevier, vol. 29(3-4), pages 75-81.
    18. Goldberger, Arthur S, 1972. "Structural Equation Methods in the Social Sciences," Econometrica, Econometric Society, vol. 40(6), pages 979-1001, November.
    19. Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39, pages 137-137.
    20. Afflerbach, Patrick & Fridgen, Gilbert & Keller, Robert & Rathgeber, Andreas W. & Strobel, Florian, 2014. "The by-product effect on metal markets – New insights to the price behavior of minor metals," Resources Policy, Elsevier, vol. 42(C), pages 35-44.
    21. Diewert, W E, 1971. "An Application of the Shephard Duality Theorem: A Generalized Leontief Production Function," Journal of Political Economy, University of Chicago Press, vol. 79(3), pages 481-507, May-June.
    22. Shumway, C. Richard, 1995. "Recent Duality Contributions In Production Economics," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(1), pages 1-17, July.
    23. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
    24. Marsh, James Barney, 1983. "Some evidence of price and cross-elasticities of mineral supply : The case of gold and uranium," Resources and Energy, Elsevier, vol. 5(2), pages 105-113, June.
    25. Redlinger, Michael & Eggert, Roderick, 2016. "Volatility of by-product metal and mineral prices," Resources Policy, Elsevier, vol. 47(C), pages 69-77.
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