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

机译:使用自举数据包络分析法分析澳大利亚主要矿业公司的效率绩效

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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.
机译:我们使用引导数据包络分析(DEA)确定了2008年至2014年期间33家澳大利亚矿业公司的效率损益的平衡。随着时间的推移,我们确定哪些公司攀升了效率阶梯,哪些公司回落了效率。我们发现,从事金属加工或采矿服务的矿业公司比从事勘探和开采活动的矿业公司效率更高。假设平均规模可变收益(VRS),我们发现,相对于最佳实践企业而言,矿业公司的绩效可以在2010年的最低17%到2008年的34%之间提高。我们发现,总体而言,大多数采矿公司随着时间的流逝而变得更有效率,在此期间,在绩效方面,表现最好的公司通常保持在公司排名前三的位置。 (C)2016 Elsevier B.V.保留所有权利。

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