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

被引:36
作者
Hosseinzadeh, Ahmad [1 ]
Smyth, Russell [2 ]
Valadkhani, Abbas [1 ]
Viet Le [1 ]
机构
[1] Swinburne Univ Technol, Dept Accounting Econ & Finance, Hawthorn, Vic 3122, Australia
[2] Monash Univ, Dept Econ, Clayton, Vic 3800, Australia
关键词
Australia; Mining companies; Efficiency; Data envelopment analysis; Bootstrap; NONPARAMETRIC FRONTIER MODELS; STATISTICAL-INFERENCE; PRODUCTIVE EFFICIENCY; DEA APPROACH; INDUSTRY; GROWTH; MINES; FIRMS;
D O I
10.1016/j.econmod.2016.04.008
中图分类号
F [经济];
学科分类号
02 ;
摘要
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. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:26 / 35
页数:10
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