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On The Portents of Peak Oil (And Other Indicators of Resource Scarcity)

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  • James L. Smith

Abstract

Although economists have studied various indicators of resource scarcity (e.g., unit cost, resource rent, and market price), the phenomenon of “peaking” has largely been ignored due to its connection to non-economic theories of resource exhaustion (the Hubbert Curve). I take a somewhat different view, one that interprets peaking as a reflection of fundamental economic determinants of an intertemporal equilibrium. From that perspective, it is reasonable to ask whether the occurrence and timing of the peak reveals anything useful regarding the state of resource exhaustion. Accordingly, I examine peaking as an indicator of resource scarcity and compare its performance to the traditional economic indicators. I find the phenomenon of peaking to be an ambiguous indicator, at best. If someone announced that the peak would arrive earlier than expected, and you believed them, you would not know whether the news was good or bad. Unfortunately, the traditional economic indicators fare no better. Their movements are driven partially by long-term trends unrelated to changes in scarcity, and partially but inconsistently driven by actual changes in scarcity. Thus, the traditional indicators provide a signal that is garbled and unreliable.

Suggested Citation

  • James L. Smith, 2010. "On The Portents of Peak Oil (And Other Indicators of Resource Scarcity)," Working Papers 1010, Massachusetts Institute of Technology, Center for Energy and Environmental Policy Research.
  • Handle: RePEc:mee:wpaper:1010
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    Cited by:

    1. Delannoy, Louis & Longaretti, Pierre-Yves & Murphy, David J. & Prados, Emmanuel, 2021. "Peak oil and the low-carbon energy transition: A net-energy perspective," Applied Energy, Elsevier, vol. 304(C).
    2. John R. Boyce, 2013. "Prediction and Inference in the Hubbert-Deffeyes Peak Oil Model," The Energy Journal, , vol. 34(2), pages 91-144, April.
    3. James J Elser & Timothy J Elser & Stephen R Carpenter & William A Brock, 2014. "Regime Shift in Fertilizer Commodities Indicates More Turbulence Ahead for Food Security," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-7, May.
    4. Cotrina-Teatino, Marco A. & Marquina-Araujo, Jairo J., 2024. "Hotelling rule in non-renewable resources: A bibliometric and systematic literature review analysis," Resources Policy, Elsevier, vol. 98(C).
    5. Peretto, Pietro & Valente, Simone, 2024. "Sustainable Growth and Secular Trends," MPRA Paper 120828, University Library of Munich, Germany.
    6. Thameur Necibi, 2014. "Prospective Modelling of Oil Supply in Tunisia," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 220-228.
    7. Northey, S. & Mohr, S. & Mudd, G.M. & Weng, Z. & Giurco, D., 2014. "Modelling future copper ore grade decline based on a detailed assessment of copper resources and mining," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 190-201.
    8. Richard G. Newell & Brian C. Prest & Ashley Vissing, 2016. "Trophy Hunting vs. Manufacturing Energy: The Price-Responsiveness of Shale Gas," NBER Working Papers 22532, National Bureau of Economic Research, Inc.

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