Analyzing the efficiency performance of major Australian mining companies using bootstrap data envelopment analysis

Ahmad Hosseinzadeh, Russell Smyth, Abbas Valadkhani and Viet Le

Economic Modelling, 2016, vol. 57, issue C, 26-35

Abstract: We identify the balance of efficiency gains and losses for 33 Australian mining firms over the period 2008–2014 using bootstrap data envelopment analysis (DEA). We ascertain which companies climbed the efficiency ladder and which companies slipped back in efficiency over time. We find that mining companies involved in metal processing or mining services have been more efficient than those involved in exploration and extraction activities. Assuming variable returns to scale (VRS), on average, we find that mining firms could improve their performance between a minimum of 17% in 2010 and a maximum of 34% in 2008, relative to the best practice performers. We find that, overall, most mining companies became more efficient over time, with the top performers generally maintaining a ranking in the top third of companies in terms of efficiency throughout the period.

Keywords: Australia; Mining companies; Efficiency; Data envelopment analysis; Bootstrap (search for similar items in EconPapers)
JEL-codes: D24 N57 Q32 Q33 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (25)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:57:y:2016:i:c:p:26-35

DOI: 10.1016/j.econmod.2016.04.008

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