Details

Title

Forecasting the price of uranium based on the costs of uranium deposits exploitation

Journal title

Gospodarka Surowcami Mineralnymi - Mineral Resources Management

Yearbook

2016

Volume

vol. 32

Numer

No 3

Publication authors

Divisions of PAS

Nauki Techniczne

Description

Gospodarka Surowcami Mineralnymi – Mineral Resources Management is a journal of the MEERI PAS and the Committee for Sustainable Mineral Resources Management of the Polish Academy of Sciences. The journal has been published continuously since 1985. It is one of the leading journals in the Polish market, publishing original scientific papers by Polish and foreign authors in the field broadly understood as the management of mineral resources. Articles are published in English. All articles are reviewed by at least two independent reviewers (the Editorial Board selects articles according to the “double-blind review” principle).

Publisher

Komitet Zrównoważonej Gospodarki Surowcami Mineralnymi PAN ; Instytut Gospodarki Surowcami Mineralnymi i Energią PAN

Date

2016

Identifier

ISSN 0860-0953

References

Amavilah (1995), The capitalist world aggregate supply and demand model for natural uranium, Energy Economics, 17, 211, doi.org/10.1016/0140-9883(95)00026-Q ; Kahouli (2011), a Effects of technological learning and uranium price on nuclear cost : Preliminary insights from a multiple factors learning curve and uranium market modeling, Energy Economics, 33, 840, doi.org/10.1016/j.eneco.2011.02.016 ; Greenwood (1981), Uranium supply and demand : the fifth annual symposium of the uranium institute London September, Energy Policy, 2, 170, doi.org/10.1016/0301-4215(81)90193-2 ; Mercure (2013), On the global economic potentials and marginal costs of non - renewable resources and the price of energy commodities, Energy Policy, 63, 469, doi.org/10.1016/j.enpol.2013.08.040 ; Trieu (1994), A model for the world uranium market, Energy Policy, 22, 317, doi.org/10.1016/0301-4215(94)90006-X ; Kahouli (2011), b Re - examining uranium supply and demand : New insights, Energy Policy, 39, 358, doi.org/10.1016/j.enpol.2010.10.007 ; Mercure (2012), An assessment of global energy resource economic potentials, Energy, 46, 322, doi.org/10.1016/j.energy.2012.08.018 ; Johnson (1997), The triangular distribution as a proxy for beta distribution in risk analysis The, Statistician, 46, 387. ; Dittmar (2013), The end of cheap uranium Science of the Total, Environment, 461. ; Amavilah (1994), The influence of oil and coal prices on the world uranium demand OPEC, Review, 18, 489. ; Mudd (2014), The future of Yellowcake : A global assessment of uranium resources and mining Science of the Total, Environment, 472. ; Gabriel (2013), A critical assessment of global uranium resources including uranium in phosphate rocks and the possible impact of uranium shortages on nuclear power fleets Annals of Nuclear, Energy, 58, 213. ; Owen (1984), An economic model of the US uranium market Materials and, Society, 8, 137.

DOI

10.1515/gospo-2016-0026

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