Energy and Environmental Efficiency of China’s Transportation Sector: A Multidirectional Analysis Approach
Energy and Environmental Efficiency of China’s Transportation Sector: A Multidirectional Analysis Approach
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DOI：
10.1155/2014/539596
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发表时间：
2014-05
影响因子：
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通讯作者：
Gongbing Bi;Pingchun Wang;Feng Yang;Liang Liang-Liang
中科院分区：
文献类型：
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作者：
Gongbing Bi;Pingchun Wang;Feng Yang;Liang Liang-Liang
随着经济的快速发展，交通运输行业成为中国高能耗、高二氧化碳排放的行业之一。为了确保能源的有效利用和减少二氧化碳的污染，在中国的交通运输部门获得最佳的性能标准是很重要的。数据包络分析（DEA）已被公认为一种流行的效率测量工具。然而，以往基于DEA的研究主要局限于产出的径向扩张或投入的径向收缩。本文提出了一个包含非期望产出的多向效率分析（MEA）的非径向DEA模型，用于测量2006-2010年中国交通运输部门的区域能源和环境效率。我们不仅评估了中国交通运输部门的能源和环境效率水平和趋势，还研究了中国30个地区和三个主要地区的效率模式。此外，我们在本研究中确定了中国各省和地区的节能潜力和二氧化碳减排潜力。
With the rapid economic development, the transportation sector becomes one of the high-energy-consumption and high-CO2-emissions sectors in China. In order to ensure efficient use of energy and to reduce CO2 pollution, it is important to gain the best performance standards in China’s transportation sector. Data envelopment analysis (DEA) has been accepted as a popular tool of efficiency measurement. However, previous studies based on DEA are mainly restricted to the radial expansions of outputs or radial contractions of inputs. In this paper, we present a nonradial DEA model with multidirectional efficiency analysis (MEA) involving undesirable outputs for the measurement of regional energy and environmental efficiency of China’s transportation sector during the period 2006–2010. We not only evaluate the energy and environmental efficiency level and trend of China’s transportation sector but also investigate the efficiency patterns of 30 regions and three major areas of China. Additionally, we identify the energy saving potential and CO2 emissions reduction potential for each province and area in China in this study.