Measuring performance of road transportation industry in China in terms of integrated environmental efficiency in view of Streaming Data

Measuring performance of road transportation industry in China in terms of integrated environmental efficiency in view of Streaming Data
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基于流数据衡量中国道路交通行业综合环境效率绩效

DOI:
10.1016/j.scitotenv.2020.138675
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发表时间:
2020
影响因子:
9.8
通讯作者:
Zhu Qingyuan
Zhu Qingyuan
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Liu Hongwei;Yang Ronglu;Wang Yeqing;Zhu Qingyuan

文献摘要

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道路运输业在促进经济发展的同时,也给中国带来了诸多环境问题。评价道路运输业的综合环境效率是十分必要的,它包括二氧化碳排放、交通事故和交通噪声三个方面。在考虑各种不良产出的情况下,提出了一个带有子系统偏好的并行DEA模型来衡量2013-2017年间道路运输业的综合环境效率。然后,运用收敛分析方法考察了道路运输效率的区域差异。实证结果表明,总体综合环境效率在全国范围内表现不佳,当货运在一定时间内受到限制时,客运系统的综合环境效率优于货运系统。从区域来看,东、中、西部地区的效率绩效呈现下降趋势。客运分系统表现优于东部地区,货运分系统表现优于中部地区。进一步的趋同分析结果表明,东西部地区的综合环境效率不仅收敛到各自的稳定水平,而且东西部地区综合环境效率的差异正在缩小。本研究的贡献在于,不仅提出了考虑分系统偏好的并行DEA模型并考虑了流数据,而且从综合环境效率的角度为提高道路运输业的环境效率提供了建议。最后,对研究的局限性和进一步的研究方向进行了展望。
Road transportation industry not only promotes economic development, but also brings many environmental issues in China. It is necessary to evaluate the integrated environmental efficiency of road transportation industry, including carbon dioxide emissions, traffic accident and traffic noise which is a Steaming Data. In this study, a parallel DEA model with sub-system preference is proposed to measuring the integrated environmental efficiency of road transportation industry in 2013–2017 considering various undesirable outputs. Then, the convergence analysis approach is employed to investigate the regional differences in terms of efficiency of road transportation. The empirical results show that the overall integrated environmental efficiency underperformed nationwide, and the passenger transportation sub-system outperformed freight transportation when the latter is restricted in some hours. From a regional perspective, the efficiency performances show downward trends in areas eastern, central and western. The passenger transportation sub-system outperforms in eastern area and the freight transportation outperforms in central area. Furthermore, the convergence analysis results indicate that the integrated environmental efficiency in eastern and western areas not only converged to their own stable levels but also that the differences in the integrated environmental efficiency between eastern and western areas are condensing. The contributions of this study lie in not only proposing a parallel DEA model with sub-system preference and considering the streaming data, but also providing suggestions to improving the road transportation industry in terms of integrated environmental efficiency. Finally, the research limitations and further research directions were conducted.