A process-based model for estimating the well-to-tank cost of gasoline and diesel in China
Weiqi Li,
Feng Fu,
Linwei Ma,
Pei Liu,
Zheng Li and
Yaping Dai
Applied Energy, 2013, vol. 102, issue C, 718-725
Abstract:
In this paper, we present a process-based model to estimate the well-to-tank (WTT) costs of vehicle fuels (gasoline and diesel). The model breaks down the WTT process into four stages, i.e., crude oil sourcing (import and extraction), crude oil transportation, crude oil refining, and vehicle fuel transportation and distribution, which can provide high-resolution data for the WTT cost components. Using this model, we further develop an empirical study of China. The results obtained from the study indicate that the price of imported crude oil is the dominant factor affecting the WTT costs of vehicle fuels in China and that the cost of crude oil refining also has a relatively large influence. By comparing the costs with the prices of vehicle fuels under the volatile price of imported crude oil, we illustrate the unstable margin caused by China’s current pricing policy, which causes a distorted price signal and fiscal risks. The key findings derived from the empirical study reveal that the WTT cost is an essential guide for altering the vehicle fuel price with the aim of not only smoothing the impacts caused by the volatile price of crude oil price but also reflecting the correct oil price signal and reducing the fiscal risks.
Keywords: Process-based model; Well-to-tank cost; Vehicle fuel; China (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261912005934
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:appene:v:102:y:2013:i:c:p:718-725
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2012.08.022
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().