Modelling the strategic petroleum reserves of China and India by a stochastic dynamic game
Ying Fan and
Xiao-Bing Zhang
Journal of Policy Modeling, 2010, vol. 32, issue 4, 505-519
Abstract:
The energy security situations of many oil-consuming countries have become worse because of greater uncertainty in the world market. This is especially true for developing countries such as China and India, which face greater risks because of their lack of strategic petroleum reserves (SPRs). China and India both embarked on SPR planning during the past few years, with the expectation of eliminating the effects of future oil-supply disruptions. In the world oil market, there are probably interactions between the SPR policies, including acquisition and release strategies, of the two biggest developing countries. Understanding how their SPR policies interact and vary with important factors would help decision-makers develop more effective policies. In this paper, a stochastic dynamic Nash game model has been developed, in which the players compete with each other and make individual decisions to minimize their expected total SPR cost. Using the model, it was possible to obtain, for a few cases, illustrative results for each player's strategies for building up and drawing down strategic oil reserves These results indicate that the buildup and drawdown policies of the players are related to many factors, including oil-market elasticity, unit stockpile holding costs, disruption and disruption-continuation probabilities, maximum reserve capacities, and other factors.
Keywords: Stochastic; dynamic; game; Dynamic; programming; Strategic; petroleum; reserve; Stockpile; acquisition; and; drawdown; strategies (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0161-8938(10)00043-8
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jpolmo:v:32:y::i:4:p:505-519
Access Statistics for this article
Journal of Policy Modeling is currently edited by A. M. Costa
More articles in Journal of Policy Modeling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().