煤炭行业供应链效率评价研究
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摘要
结合煤炭行业特点,先运用数据包络分析方法对2017年煤炭产出量前8的省份的煤炭供应链效率进行静态分析,然后运用Malmquist指数对这8个省份2010—2017年的煤炭供应链效率进行动态分析。结果表明:我国煤炭行业供应链整体水平较低,煤炭行业全要素处于不稳定状态,但总体呈上升趋势,煤炭产能及绿色供应链发展仍有可提升的空间,煤炭行业相关设施的利用程度仍可提高。
Combined with the characteristics of the coal industry,the data envelopment analysis method is used to statically analyze the coal supply chain efficiency of the top eight provinces in terms of coal output in 2017,and then the Malmquist index was used to dynamically analyze the coal supply chain efficiency of the eight provinces from 2010 to 2017. The overall analysis results showed that the overall level of China's coal industry supply chain was low,the overall factor of the coal industry is in an unstable state,but the overall upward trend,there is still room for improvement in coal production capacity and green supply chain development,and the utilization of related facilities in the coal industry can be improved.
Combined with the characteristics of the coal industry,the data envelopment analysis method is used to statically analyze the coal supply chain efficiency of the top eight provinces in terms of coal output in 2017,and then the Malmquist index was used to dynamically analyze the coal supply chain efficiency of the eight provinces from 2010 to 2017. The overall analysis results showed that the overall level of China's coal industry supply chain was low,the overall factor of the coal industry is in an unstable state,but the overall upward trend,there is still room for improvement in coal production capacity and green supply chain development,and the utilization of related facilities in the coal industry can be improved.
引文
[1]李乐.我国煤炭物流与供应链发展现状和趋势[J].物流工程与管理,2018,40(2):18-19.
[2]刘涛.煤炭行业供应链协同网络模型构建与应用研究[D].济南:山东大学,2008.
[3]金飞,李巍巍,胡德建.煤炭企业供应链合作伙伴的评价研究[J].科技管理研究,2012,32(4):90-92,64.
[4]崔忠付.我国煤炭物流与供应链发展现状和趋势[J].煤炭经济研究,2014,34(9):5-7.
[5]李丹,路世昌,赵球,等.煤炭绿色供应链概念模型研究[J].科技管理研究,2013,33(22):210-214.
[6]窦孟忠,陈佳鹏.煤炭企业供应链成本构成及控制方法研究[J].煤炭工程,2013,45(10):142-144.
[7]魏权龄.数据包络分析(DEA)[J].科学通报,2000(17):1793-1808.
[8]李爱军,黎娜,王成文.基于DEA和Malmquist指数模型的农产品供应链效率研究[J].统计与决策,2017(11):42-45.
[9]李茜,李艳丽.中国省级政府效率的区域测算与演变趋势—基于DEA及DEA-Malmquist指数分析[J].华东经济管理,2019(6):69-77.
[10]袁婷,张伟.基于两阶段DEA的煤炭上市企业融资效率研究[J].煤炭经济研究,2019,39(5):55-60.
[11]郭子雪,张雅辉,黄新.基于DEA模型的京津冀区域物流效率评价研究[J].数学的实践与认识,2018,48(24):41-50.
[12]许诗源.基于PCA-DEA模型的农产品流通效率分析[J].商业经济研究,2019(10):24-26.
[2]刘涛.煤炭行业供应链协同网络模型构建与应用研究[D].济南:山东大学,2008.
[3]金飞,李巍巍,胡德建.煤炭企业供应链合作伙伴的评价研究[J].科技管理研究,2012,32(4):90-92,64.
[4]崔忠付.我国煤炭物流与供应链发展现状和趋势[J].煤炭经济研究,2014,34(9):5-7.
[5]李丹,路世昌,赵球,等.煤炭绿色供应链概念模型研究[J].科技管理研究,2013,33(22):210-214.
[6]窦孟忠,陈佳鹏.煤炭企业供应链成本构成及控制方法研究[J].煤炭工程,2013,45(10):142-144.
[7]魏权龄.数据包络分析(DEA)[J].科学通报,2000(17):1793-1808.
[8]李爱军,黎娜,王成文.基于DEA和Malmquist指数模型的农产品供应链效率研究[J].统计与决策,2017(11):42-45.
[9]李茜,李艳丽.中国省级政府效率的区域测算与演变趋势—基于DEA及DEA-Malmquist指数分析[J].华东经济管理,2019(6):69-77.
[10]袁婷,张伟.基于两阶段DEA的煤炭上市企业融资效率研究[J].煤炭经济研究,2019,39(5):55-60.
[11]郭子雪,张雅辉,黄新.基于DEA模型的京津冀区域物流效率评价研究[J].数学的实践与认识,2018,48(24):41-50.
[12]许诗源.基于PCA-DEA模型的农产品流通效率分析[J].商业经济研究,2019(10):24-26.