Efficiency assessment of coal mine safety input by data envelopment analysis

• Published in: Journal of China University of Mining and Technology Vol. 18; no. 1; pp. 88 - 92
• Main Authors: TONG, Lei, DING, Ri-jia
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2008; School of Management, China University of Mining &Technology, Beijing 100083, China
• Subjects: coal mining enterprise; data envelopment analysis (DEA); efficiency assessment; safety input; 安全技术; 安全管理; 效率评估; data envelopment analysis (DEA); efficiency assessment; safety input; coal mining enterprise
• ISSN: 1006-1266
• DOI: 10.1016/S1006-1266(08)60019-X

In recent years improper allocation of safety input has prevailed in coal mines in China, which resulted in the frequent accidents in coal mining operation. A comprehensive assessment of the input efficiency of coal mine safety should lead to improved efficiency in the use of funds and management resources. This helps government and enterprise managers better understand how safety inputs are used and to optimize allocation of resources. Study on coal mine＇s efficiency assessment of safety input was con- ducted in this paper. A C^2R model with non-Archimedean infinitesimal vector based on output is established after consideration of the input characteristics and the model properties. An assessment of an operating mine was done using a specific set of input and output criteria. It is found that the safety input was efficient in 2002 and 2005 and was weakly efficient in 2003. However, the efficiency was relatively low in both 2001 and 2004. The safety input resources can be optimized and adjusted by means of projection theory. Such analysis shows that, on average in 2001 and 2004, 45% of the expended funds could have been saved. Likewise, 10% of the safety management and technical staff could have been eliminated and working hours devoted to safety could have been reduced by 12%. These conditions could have Riven the same results.