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Analysis of the optimal policy for managing strategic petroleum reserves under long-term uncertainty: the ASEAN case.

Oliveira, F.S.; Zahur, Nahim B.; Wu, Fulan

Authors

Nahim B. Zahur

Fulan Wu



Abstract

We examine the issue of petroleum stockpiling in the Association of Southeast Asian Nations (ASEAN), computing the optimal build-up and draw-down policies under different conditions. We study, in detail, the properties of petroleum prices, oil imports and production, and GDP, analyzing the impact of the planning horizon, discount rate and price elasticity of demand on the optimal policy. We use a finite horizon stochastic program (with varying branching) in which the policymaker minimizes the negative impacts of oil price increases on the GDP and the cost of holding the strategic petroleum reserve. We propose an inter-generational equity rule to compute the level of inventory in the final states of the decision tree. We find that ASEAN countries would benefit significantly from developing a strategic petroleum reserve, with net benefits ranging from US$25–125 billion. Our suggested target stockpile is consistent with the International Energy Agency's recommendation of holding stocks equal to 90 days of net imports.

Citation

OLIVEIRA, F.S., ZAHUR, N.B. and WU, F. 2023. Analysis of the optimal policy for managing strategic petroleum reserves under long-term uncertainty: the ASEAN case. Computers and industrial engineering [online], 175, article number 108834. Available from: https://doi.org/10.1016/j.cie.2022.108834

Journal Article Type Article
Acceptance Date Nov 18, 2022
Online Publication Date Nov 24, 2022
Publication Date Jan 31, 2023
Deposit Date Oct 21, 2023
Publicly Available Date Oct 30, 2023
Journal Computers and industrial engineering
Print ISSN 0360-8352
Electronic ISSN 1879-0550
Publisher Elsevier
Peer Reviewed Not Peer Reviewed
Volume 175
Article Number 108834
DOI https://doi.org/10.1016/j.cie.2022.108834
Keywords Inventory management; Stochastic programming; Uncertainty; Petroleum
Public URL https://rgu-repository.worktribe.com/output/2078490

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