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An empirical analysis of the dynamic programming model of stockpile acquisition strategies for China's strategic petroleum reserve

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  • Wu, Gang
  • Fan, Ying
  • Liu, Lan-Cui
  • Wei, Yi-Ming

Abstract

The world's future oil price is affected by many factors. The challenge, therefore, is how to select optimal stockpile acquisition strategies to minimize the cost of maintaining a reserve. This paper provides a new method for analyzing this problem using an uncertain dynamic programming model to analyze stockpile acquisition strategies for strategic petroleum reserve. Using this model, we quantify the impact of uncertain world oil price on optimal stockpile acquisition strategies of China's strategic petroleum reserve for the period 2007-2010 and 2011-2020. Our results show that the future stockpile acquisition is related to oil prices and their probability and, if not considering the occurrence of oil supply shortage, China should at least purchase 25 million barrels when world oil price is at an optimal level. The optimal price of stockpile acquisition of every year has a stronger relationship with the probability of high price; and the optimal expected price and size of stockpile acquisition is different in each year.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:enepol:v:36:y:2008:i:4:p:1470-1478
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    1. Samouilidis, JE & Berahas, SA, 1982. "A methodological approach to strategic petroleum reserves," Omega, Elsevier, vol. 10(5), pages 565-574.
    2. Samouilidis, J. E. & Magirou, Vangelis F., 1985. "On the optimal level of a small country's strategic petroleum reserve," European Journal of Operational Research, Elsevier, vol. 20(2), pages 190-197, May.
    3. 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.
    4. Greene, David L & Jones, Donald W & Leiby, Paul N, 1998. "The outlook for US oil dependence," Energy Policy, Elsevier, vol. 26(1), pages 55-69, January.
    5. 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.
    6. 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.
    7. 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.
    8. Zweifel, Peter & Bonomo, Susanne, 1995. "Energy security Coping with multiple supply risks," Energy Economics, Elsevier, vol. 17(3), pages 179-183, July.
    9. 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.
    10. 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.
    11. 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.
    12. William W. Hogan, 1983. "Oil Stockpiling: Help Thy Neighbor," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 49-72.
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    Cited by:

    1. Huanan Li & Xin Chen, 2016. "Dynamic game analysis on China’s public and private oil stockpiles," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 715-723, October.
    2. 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.
    3. Shao, Yanmin & Qiao, Han & Wang, Shouyang, 2017. "What determines China's crude oil importing trade patterns? Empirical evidences from 55 countries between 1992 and 2015," Energy Policy, Elsevier, vol. 109(C), pages 854-862.
    4. Cong, Rong-Gang, 2013. "An optimization model for renewable energy generation and its application in China: A perspective of maximum utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 94-103.
    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. 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.
    7. Nan Zhang & Wei Liu & Yun Zhang & Pengfei Shan & Xilin Shi, 2020. "Microscopic Pore Structure of Surrounding Rock for Underground Strategic Petroleum Reserve (SPR) Caverns in Bedded Rock Salt," Energies, MDPI, vol. 13(7), pages 1-22, March.
    8. Zhang, Xiao-Bing & Qin, Ping & Chen, Xiaolan, 2017. "Strategic oil stockpiling for energy security: The case of China and India," Energy Economics, Elsevier, vol. 61(C), pages 253-260.
    9. Liu, Zhen & Tang, Yuk Ming & Chau, Ka Yin & Chien, Fengsheng & Iqbal, Wasim & Sadiq, Muhammad, 2021. "Incorporating strategic petroleum reserve and welfare losses: A way forward for the policy development of crude oil resources in South Asia," Resources Policy, Elsevier, vol. 74(C).
    10. Xiaodong Guo & Chen Hao & Shuwen Niu, 2020. "Analysis of Oil Import Risk and Strategic Petroleum Reserve: The Case of China," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
    11. 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.
    12. 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.
    13. Cheng, Ching-Tsung & Lo, Shang-Lien & Lin, Tyrone T., 2011. "Applying real options analysis to assess cleaner energy development strategies," Energy Policy, Elsevier, vol. 39(10), pages 5929-5938, October.
    14. 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.
    15. Ilyes Abid & Stéphane Goutte & Farid Mkaouar & Khaled Guesmi, 2019. "Optimal strategy between extraction and storage of crude oil," Annals of Operations Research, Springer, vol. 281(1), pages 3-26, October.
    16. 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.
    17. Zhang, Xiao-Bing & Zheng, Xinye & Qin, Ping & Xie, Lunyu, 2018. "Oil import tariff game for energy security: The case of China and India," Energy Economics, Elsevier, vol. 72(C), pages 255-262.
    18. 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.
    19. Wu, Gang & Zhang, Yue-Jun, 2014. "Does China factor matter? An econometric analysis of international crude oil prices," Energy Policy, Elsevier, vol. 72(C), pages 78-86.
    20. Jiao, Jian-Ling & Han, Kuang-Yi & Wu, Gang & Li, Lan-Lan & Wei, Yi-Ming, 2014. "The effect of an SPR on the oil price in China: A system dynamics approach," Applied Energy, Elsevier, vol. 133(C), pages 363-373.
    21. 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.
    22. Zhang, Xiao-Bing, 2014. "Optimal strategic oil stockpiling and import tariffs: The case of China," Energy Economics, Elsevier, vol. 45(C), pages 463-474.
    23. Zhao, Chunfu & Chen, Bin, 2014. "China’s oil security from the supply chain perspective: A review," Applied Energy, Elsevier, vol. 136(C), pages 269-279.
    24. Gao, Dan & Li, Zheng & Liu, Pei & Zhao, Jiazhu & Zhang, Yuning & Li, Canbing, 2018. "A coordinated energy security model taking strategic petroleum reserve and alternative fuels into consideration," Energy, Elsevier, vol. 145(C), pages 171-181.

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