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Desirable Strategic Petroleum Reserves policies in response to supply uncertainty: A stochastic analysis

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  • Bai, Yang
  • Zhou, Peng
  • Tian, Lixin
  • Meng, Fanyi

Abstract

The paper proposes a survey on three issues related to Strategic Petroleum Reserves (SPR) policy. Firstly, what are the optimal SPR acquisition, drawdown and refilling policy in response to various market risks? Secondly, how SPR policy or actions will affect the market factors, i.e. oil demand or price. Thirdly, in what extend a disruption may induce price shock. For the purpose, the study proposed a Markov Decision Process model (SPR-MDP). In the model, oil supply, disruption size and duration are considered to be highly stochastic. Oil price is determined by market fundamentals exclusively. According to the empirical study, we come to some interesting conclusions. Firstly, oil price and disruption risk show different ways in influencing the desirable SPR size. It is found that the SPR size increases with the decrease of oil price while increase of disruption risk. Secondly, SPR acquisition may increase oil price slightly by influencing the basic fundamentals. In given case, we find acquisition of 7 million barrels per month increase the price by 2.6%. But the influence weakens with decrease of acquisition size. Thirdly, disruption duration shows significant impact on SPR drawdown policy. In a two-month disruption case, it is found that 51% of SPR should be released in the first month. Another 40% is released in the following month. The other 9% SPR is left for forthcoming disruptions. Meanwhile, SPR drawdown shows high efficient in damping oil price in the disruption. In given case, after drawdown of SPR, the oil prices only increases by 0.7% in the second month though continue disruption.

Suggested Citation

  • Bai, Yang & Zhou, Peng & Tian, Lixin & Meng, Fanyi, 2016. "Desirable Strategic Petroleum Reserves policies in response to supply uncertainty: A stochastic analysis," Applied Energy, Elsevier, vol. 162(C), pages 1523-1529.
    • Handle: RePEc:eee:appene:v:162:y:2016:i:c:p:1523-1529
    DOI: 10.1016/j.apenergy.2015.04.025
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    References listed on IDEAS

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    1. Wu, Gang & Wei, Yi-Ming & Nielsen, Chris & Lu, Xi & McElroy, Michael B., 2012. "A dynamic programming model of China's strategic petroleum reserve: General strategy and the effect of emergencies," Energy Economics, Elsevier, vol. 34(4), pages 1234-1243.
    2. Fan, Ying & Zhang, Xiao-Bing, 2010. "Modelling the strategic petroleum reserves of China and India by a stochastic dynamic game," Journal of Policy Modeling, Elsevier, vol. 32(4), pages 505-519, July.
    3. Nordhaus, William D, 1974. "The 1974 Report of the President's Council of Economic Advisers: Energy in the Economic Report," American Economic Review, American Economic Association, vol. 64(4), pages 558-565, September.
    4. Tolley, George S & Wilman, John D, 1977. "The Foreign Dependence Question," Journal of Political Economy, University of Chicago Press, vol. 85(2), pages 323-347, April.
    5. Bai, Y. & Zhou, D.Q. & Zhou, P., 2012. "Modelling and analysis of oil import tariff and stockpile policies for coping with supply disruptions," Applied Energy, Elsevier, vol. 97(C), pages 84-90.
    6. Zhang, Xiao-Bing & Fan, Ying & Wei, Yi-Ming, 2009. "A model based on stochastic dynamic programming for determining China's optimal strategic petroleum reserve policy," Energy Policy, Elsevier, vol. 37(11), pages 4397-4406, November.
    7. Bai, Y. & Zhou, D.Q. & Zhou, P. & Zhang, L.B., 2012. "Optimal path for China's strategic petroleum reserve: A dynamic programming analysis," Energy Economics, Elsevier, vol. 34(4), pages 1058-1063.
    8. Wu, Gang & Fan, Ying & Liu, Lan-Cui & Wei, Yi-Ming, 2008. "An empirical analysis of the dynamic programming model of stockpile acquisition strategies for China's strategic petroleum reserve," Energy Policy, Elsevier, vol. 36(4), pages 1470-1478, April.
    9. Thomas J. Teisberg, 1981. "A Dynamic Programming Model of the U.S. Strategic Petroleum Reserve," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 526-546, Autumn.
    10. Wei, Yi-Ming & Wu, Gang & Fan, Ying & Liu, Lan-Cui, 2008. "Empirical analysis of optimal strategic petroleum reserve in China," Energy Economics, Elsevier, vol. 30(2), pages 290-302, March.
    11. Nanduri, Vishnu & Saavedra-Antolínez, Ivan, 2013. "A competitive Markov decision process model for the energy–water–climate change nexus," Applied Energy, Elsevier, vol. 111(C), pages 186-198.
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