2019
DOI: 10.1016/j.resourpol.2019.01.009
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Grade-cost relationships within Australian underground gold mines – A 2014–2017 empirical study and potential value implications

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Cited by 19 publications
(2 citation statements)
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“…Gold mines can be open pit, underground operations or developed as a combination of the two. The grade of gold that is mined can vary tenfold, for example from less than 1 gram per tonne of rock to over 10 grams per tonne of rock ( Ulrich et al, 2019 ). Gold mining companies also have different balance sheets, capital costs, operating costs (All-In-Sustaining-Costs, AISC, Gianfrate (2017) ), currency exposure, production scale ( Guj, 2011 ), hedge books ( Tufano (1998) and Fang et al (2007) ), in-ground reserves or resources ( Ulrich et al, 2019 ) and vastly different environmental footprints (including Greenhouse Gas Emissions, Mudd (2007a) and Ulrich et al (2020) ).…”
Section: Data and Descriptive Analysismentioning
confidence: 99%
“…Gold mines can be open pit, underground operations or developed as a combination of the two. The grade of gold that is mined can vary tenfold, for example from less than 1 gram per tonne of rock to over 10 grams per tonne of rock ( Ulrich et al, 2019 ). Gold mining companies also have different balance sheets, capital costs, operating costs (All-In-Sustaining-Costs, AISC, Gianfrate (2017) ), currency exposure, production scale ( Guj, 2011 ), hedge books ( Tufano (1998) and Fang et al (2007) ), in-ground reserves or resources ( Ulrich et al, 2019 ) and vastly different environmental footprints (including Greenhouse Gas Emissions, Mudd (2007a) and Ulrich et al (2020) ).…”
Section: Data and Descriptive Analysismentioning
confidence: 99%
“…ual cost and revenue drivers, such as gold ore grades, have previously been shown to be particularly influential over the economics of individual mining projects [e.g. 45]. The validation of Bluecap model's ability to distinguish a reasonable break-even cost frontier between potentially economic and uneconomic mineral resources is encouraging given the inherent complexity in the cost estimation processes.…”
Section: Case Studiesmentioning
confidence: 99%