An Economic Model of Oil Exploration and Extraction
Alfred Greiner,
Willi Semmler and
Tobias Mette
Computational Economics, 2012, vol. 40, issue 4, 387-399
Abstract:
In this paper we present empirical facts on oil exploitation and a model that can replicate some of these facts. In particular, we show that the time path of the oil price, on the one hand, and the extraction rate, on the other hand, seem to follow a U-shaped and an inverted U-shaped relationship, respectively, which is confirmed by simple non-parametric estimations. Next, we present a theoretical model where a monopolistic resource owner maximizes inter-temporal profits from exploiting a non-renewable resource where the price of the resource depends on the extraction rate and on cumulated past extraction. The resource is finite and only a part of the resource is known while the rest has not yet been discovered. The analysis of that model demonstrates that the extraction rate and the price of the resource show the empirically observed pattern if the stock of the initially known resource is small. Copyright Springer Science+Business Media, LLC. 2012
Keywords: Non-renewable resources; Optimal control; Non-parametric estimation; Oil production; Q30; C61 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://hdl.handle.net/10.1007/s10614-011-9272-0 (text/html)
Access to full text is restricted to subscribers.
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:kap:compec:v:40:y:2012:i:4:p:387-399
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2
DOI: 10.1007/s10614-011-9272-0
Access Statistics for this article
Computational Economics is currently edited by Hans Amman
More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().