基于超效率SBM模型的西部煤炭 采选业生态效率研究
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国家自然科学基金 资助项目(51874003);安徽省自然科学基金资助项目(1808085MG221)


An Ecological Efficiency Evaluation of Coal Mining and Processing Based on Super-Efficiency SBM Model: A Case Study of Western China
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    摘要:

    为了解西部地区煤炭采选业的生态效率及变化趋势,以2011—2019年西部地区煤炭采选业为研究对象,运用非期望产出的超效率SBM和Malmquist指数模型从静态和动态两个方面对西部地区煤炭开采生态效率进行了测算。研究结果表明:2011—2019年期间,我国西部地区煤炭开采业生态效率水平总体偏低,不同省份之间的生态效率值差异较大,结合自然断点法,将效率值对应地区分为较低效率地区、中效率地区、较高效率地区3个等级;研究期间全要素生产率呈逐步上升趋势,TFP指数均值为1.05,说明西部地区煤炭开采生态效率年均增长率为5%;其中,2018—2019年达最大增幅,为24.7%。

    Abstract:

    In view of an investigation of the ecological efficiency and change trend of coal mining and processing industry in Western China, taking the coal mining and processing industry in the western region from 2011 to 2019 as the research object, a calculation has thus been made of the ecological efficiency of coal mining in the targeted area from both static and dynamic aspects by using the super-efficiency SBM model of unexpected output and Malmquist index. The results show that the ecological efficiency of coal mining industry in Western China is generally maintained at a low level, with a great diversity in the ecological efficiency values among different provinces from 2011 to 2019, combined with the natural breakpoint method, the corresponding regions of efficiency value can be divided into three grades: low efficiency region, medium efficiency region and high efficiency region; during the study period, the total factor productivity shows a gradual upward trend, with an average TFP index of 1.05, indicating that the annual average growth rate of the ecological efficiency of coal mining in the western region is 5%, reaching a maximum growth rate of 24.7% from 2018 to 2019.

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赵 雪,王向前.基于超效率SBM模型的西部煤炭 采选业生态效率研究[J].湖南工业大学学报,2022,36(5):71-78.

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  • 收稿日期:2021-09-23
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  • 在线发布日期: 2022-09-09
  • 出版日期: 2022-09-01