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Measuring Sustainable Development Efficiency of Urban Logistics Industry

机译：衡量城市物流业可持续发展效率

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摘要

Logistics plays a basic supporting role in the growth of national economy. However, tail gas, noise, and traffic congestion caused by logistics have a negative impact on the environment. An effective evaluation mechanism for sustainable development of urban logistics industry is necessary. Data envelopment analysis (DEA) is a common tool for efficiency evaluation. But, DEA has a limited effect on resource allocation in advance because it is ex-post evaluation. It requires input-output indications and the output is after-the-fact data. This defect is particularly prominent in the evaluation of ecological logistics because pollution indicators belong to ex-post output data that threaten the human environment. First prediction and then evaluation is a possible idea. In addition, DEA efficiency ranking does not have a good discrimination due to its coarse granularity. To solve the issues, combining DEA with the Bayes method, we propose an efficiency evaluation model without after-the-fact data, where an efficiency level is predicted and an evaluation value is calculated according to different investment combinations. Then, it is applied to logistics industries of Jiangsu province in China. The results show that our DEA-Bayes method has good discrimination and is easy to operate; a city with geographical advantage and environmental awareness generally gets a higher efficiency score. So the method can help decision makers to allocate resources rationally and further promote the coordinated development of logistics industry.
机译：物流在国民经济增长中起着基本的支撑作用。但是，物流造成的尾气，噪音和交通拥堵会对环境造成负面影响。必须建立有效的城市物流业可持续发展评价机制。数据包络分析（DEA）是效率评估的常用工具。但是，DEA对事后分配的影响有限，因为它是事后评估。它需要输入-输出指示，并且输出是事后数据。该缺陷在生态物流评估中尤为突出，因为污染指标属于威胁人类环境的事后产出数据。首先进行预测，然后进行评估是一个可能的想法。另外，DEA效率等级由于其粗粒度而没有很好的判别能力。为了解决这些问题，将DEA与贝叶斯方法相结合，我们提出了一个没有事后数据的效率评估模型，该模型可以预测效率水平，并根据不同的投资组合来计算评估值。然后，将其应用于中国江苏省的物流行业。结果表明，我们的DEA-Bayes方法具有很好的判别力，易于操作。一个具有地理优势和环境意识的城市通常会获得更高的效率得分。因此，该方法可以帮助决策者合理配置资源，进一步促进物流业的协调发展。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第15期|9187541.1-9187541.9|共9页
  • 作者

    Cao Chenglong;

  • 作者单位

    Anhui Finance & Trade Vocat Coll Hefei 230601 Anhui Peoples R China|Univ Sci & Technol China Res Ctr Logist Engn Hefei 230026 Peoples R China;

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