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An Empirical Study of Hybrid DEA and Grey System Theory on Analyzing Performance: A Case from Indian Mining Industry

机译:基于DEA和灰色系统理论的绩效分析的实证研究-以印度矿业为例。

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India, which has long been recognized as a well-endowed nation in natural mineral resources, is a major minerals producer. According to the report of Indian Ministry of Mines 2013, Indian mining and metals sector ranked the fourth among the mineral producer countries, behind China, United States, and Russia and had in fact led the economy into recovery from the global financial crisis. Since this industry has turned into a significant issue, this paper attempts to rank the performance of 23 Indian mining and metal companies and to evaluate and measure the productivity change of these sectors during different time periods (2010–2014). Besides, the authors would like to choose one advanced model of MPI to see the performance of these companies in the past-present period and the 4-year future period (2015–2018) by using forecasting results of Grey system theory. The results revealed that from the past to future period the National Mineral Development Corporation, Hindalco Industries Limited, and Coal India always keep their highest best rankings among 23 DMUs regarding performance scores. This study contributes better insights of Indian mining industry as it is the core of the economy.
机译:印度一直是公认的天然矿产资源丰富的国家,是主要的矿产生产国。根据印度矿业部2013年的报告,印度矿业和金属部门在矿产生产国中排名第四,仅次于中国,美国和俄罗斯,实际上已经使经济从全球金融危机中复苏。由于该行业已成为一个重大问题,因此本文试图对23家印度矿业和金属公司的绩效进行排名,并评估和衡量这些行业在不同时期(2010-2014年)的生产率变化。此外,作者还希望通过使用灰色系统理论的预测结果,选择一种先进的MPI模型来查看这些公司在过去的当前时期和未来的4年(2015-2018年)的业绩。结果显示,从过去到未来,国家矿产开发公司,Hindalco Industries Limited和Coal India始终在23个DMU中保持最高的性能得分。这项研究为印度矿业提供了更好的见解,因为它是经济的核心。

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