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China's optimal stockpiling policies in the context of new oil price trend

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Listed:
  • Xie, Nan
  • Yan, Zhijun
  • Zhou, Yi
  • Huang, Wenjun

Abstract

Optimizing the size of oil stockpiling plays a fundamental role in the process of making national strategic petroleum reserve (SPR) policies. There have been extensive studies on the operating strategies of SPR. However, previous literatures have paid more attention to a booming or stable international oil market, while few studies analyzed the impact of a long-term low oil price on SPR policy. As a supplement, this paper extends a static model to study China's optimal stockpiling policy under different oil price trends, and in response to different current oil prices. A new variable “FC”, which demonstrates the appreciation and depreciation of the reserved oil economic value, has been taken into account to assess the optimal size of SPR. In this paper, a more multi-perspective of view is provided to consider the policies of China's SPR, especially under the different trend of international oil price fluctuations.

Suggested Citation

  • Xie, Nan & Yan, Zhijun & Zhou, Yi & Huang, Wenjun, 2017. "China's optimal stockpiling policies in the context of new oil price trend," Energy Policy, Elsevier, vol. 105(C), pages 332-340.
    • Handle: RePEc:eee:enepol:v:105:y:2017:i:c:p:332-340
    DOI: 10.1016/j.enpol.2017.03.008
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    as
    1. Lutz Kilian, 2016. "The Impact of the Shale Oil Revolution on U.S. Oil and Gasoline Prices," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 10(2), pages 185-205.
    2. Samouilidis, JE & Berahas, SA, 1982. "A methodological approach to strategic petroleum reserves," Omega, Elsevier, vol. 10(5), pages 565-574.
    3. 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.
    4. 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.
    5. 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.
    6. Hung-Po Chao & Alan S. Manne, 1983. "Oil Stockpiles and Import Reductions: A Dynamic Programming Approach," Operations Research, INFORMS, vol. 31(4), pages 632-651, August.
    7. Zweifel, Peter & Bonomo, Susanne, 1995. "Energy security Coping with multiple supply risks," Energy Economics, Elsevier, vol. 17(3), pages 179-183, July.
    8. Maddah, Bacel & Yassine, Ali A. & Salameh, Moueen K. & Chatila, Lama, 2014. "Reserve stock models: Deterioration and preventive replenishment," European Journal of Operational Research, Elsevier, vol. 232(1), pages 64-71.
    9. Frederic H. Murphy & Michael A. Toman & Howard J. Weiss, 1989. "A Dynamic Nash Game Model of Oil Market Disruption and Strategic Stockpiling," Operations Research, INFORMS, vol. 37(6), pages 958-971, December.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. Murphy, Frederic & Oliveira, Fernando S., 2010. "Developing a market-based approach to managing the US strategic petroleum reserve," European Journal of Operational Research, Elsevier, vol. 206(2), pages 488-495, October.
    15. Murphy, Frederic & Oliveira, Fernando S., 2013. "Pricing option contracts on the strategic petroleum reserve," Energy Economics, Elsevier, vol. 40(C), pages 242-250.
    16. Frederic H. Murphy & Michael A. Toman & Howard J. Weiss, 1987. "A Stochastic Dynamic Nash Game Analysis of Policies for Managing the Strategic Petroleum Reserves of Consuming Nations," Management Science, INFORMS, vol. 33(4), pages 484-499, April.
    17. 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.
    18. Brian D. Wright & Jeffrey C. Williams, 1982. "The Roles of Public and Private Storage in Managing Oil Import Disruptions," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 341-353, Autumn.
    19. Chen, Xin & Mu, Hailin & Li, Huanan & Gui, Shusen, 2014. "Using stockpile delegation to improve China׳s strategic oil policy: A multi-dimension stochastic dynamic programming approach," Energy Policy, Elsevier, vol. 69(C), pages 28-42.
    20. Bai, Y. & Dahl, C.A. & Zhou, D.Q. & Zhou, P., 2014. "Stockpile strategy for China׳s emergency oil reserve: A dynamic programming approach," Energy Policy, Elsevier, vol. 73(C), pages 12-20.
    21. Demirer, RIza & Kutan, Ali M., 2010. "The behavior of crude oil spot and futures prices around OPEC and SPR announcements: An event study perspective," Energy Economics, Elsevier, vol. 32(6), pages 1467-1476, November.
    22. Zhang, Yue-Jun, 2013. "Speculative trading and WTI crude oil futures price movement: An empirical analysis," Applied Energy, Elsevier, vol. 107(C), pages 394-402.
    23. Gallo, Andres & Mason, Paul & Shapiro, Steve & Fabritius, Michael, 2010. "What is behind the increase in oil prices? Analyzing oil consumption and supply relationship with oil price," Energy, Elsevier, vol. 35(10), pages 4126-4141.
    24. Shmuel S. Oren & Shao Hong Wan, 1986. "Optimal Strategic Petroleum Reserve Policies: A Steady State Analysis," Management Science, INFORMS, vol. 32(1), pages 14-29, January.
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