基于偏好DEA和Malmquist的煤炭企业安全效率动态分析  

Preferential DEA and Malmquist-based Dynamic Analysis of Coal Mine Safety Efficiency

作　　者：高艳芬[1,2] 贾明涛[1,2] 李宁[1,2] 陈忠强[1,2] 

机构地区：[1]中南大学资源与安全工程学院,湖南长沙410083 [2]中南大学数字矿山研究中心,湖南长沙410083

出　　处：《中国安全科学学报》2013年第5期126-131,共6页China Safety Science Journal

基　　金：国家高技术研究发展("863")计划项目(2011AA060407);湖南省研究生科研创新项目(CX2011B116)

摘　　要：为准确评价煤炭企业安全效率,动态分析其发展规律,采用偏好数据包络分析(DEA)方法,测算2007—2010年我国煤炭企业100强中39家企业的安全效率,描述其整体现状。在此基础上,运用非参数Malmquist指数法,分析煤炭企业安全效率动态变化过程,并探讨煤炭企业安全效率发展的动力及阻碍因素。结果表明:2007—2010年,煤炭企业间安全效率差异明显,且整体较低,平均值仅为0.811。2008—2009年间的安全效率达到最大值2.961,其增长动力主要来自于技术进步,而技术效率较低在很大程度上阻碍企业安全效率发展。The safety efficiency of 39 of the top 100 Chinese coal mine enterprises from 2007 to 2010 was evaluated using the preferential DEA method.Based on the results of evaluation,the developing trend of coal mine safety efficiency was figured out using the Malmquist method.The internal structure of coal mine safety efficiency was then broken down to explore the driving force as well as the impediment concerning the development of coal mine safety efficiency.The results show that safety efficiency varies from enterprise to enterprise in a significant manner,that the overall safety efficiency of coal mine enterprises in China was low from 2007 to 2010 with an average of 0.811,that the safety efficiency reaches the maximum 2.961 between 2008 and 2009,that the main factor contributing to the growth of safety efficiency is technological progress,and that lower technological efficiency hinders largely the development of the safety efficiency.

关 键 词：数据包络分析(DEA) 非参数Malmquist指数法 安全效率 煤炭企业 动态分析 

分 类 号：X936[环境科学与工程—安全科学]