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Analysis of the Environmental Efficiency of the Chinese Transportation Sector Using an Undesirable Output Slacks-Based Measure Data Envelopment Analysis Model

机译:基于不期望的基于产出松弛的测度数据包络分析模型对中国交通运输部门的环境效率进行分析

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Many countries are attempting to reduce energy consumption and CO2 emissions while increasing the productivity and efficiency of their industries. An undesirable-output-oriented data envelopment analysis (DEA) model with slacks-based measure (SBM) was used to evaluate the changes in the environmental efficiency of the transportation sector in 30 Chinese provinces (municipalities and autonomous regions) between 2003 and 2012. The potential for decreasing CO2 emissions and energy saving was also assessed. Transportation was found to be inefficient in most of the provinces and the average environmental efficiency was low (0.45). The overall average efficiency reached a maximum in 2005 and continually decreased until a minimum was reached in 2009; since then, it has increased. In general, transportation is more efficient in eastern than in central or western China. A sensitivity analysis was also carried out on the input and output indicators. Based on these findings, some policies are proposed to improve the environmental efficiency of the transportation sector in China.
机译:许多国家都在试图减少能源消耗和CO 2 排放,同时提高其行业的生产率和效率。在2003年至2012年之间,采用了基于松弛的测度(SBM)的以不良产出为导向的数据包络分析(DEA)模型来评估中国30个省(市和自治区)交通运输部门的环境效率变化。还评估了减少CO 2 排放和节能的潜力。在大多数省份,交通运输效率低下,平均环境效率很低(0.45)。整体平均效率在2005年达到最高,并持续下降,直到2009年达到最低水平。从那以后,它增加了。一般而言,东部地区的运输效率要高于中部或西部地区。还对输入和输出指标进行了敏感性分析。基于这些发现,提出了一些改善中国交通运输部门环境效率的政策。

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