Measuring Sustainable Development Efficiency of Urban Logistics Industry

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  • Additional Information
    • Publication Information:
      Hindawi Limited, 2018.
    • Publication Date:
      2018
    • Collection:
      LCC:Engineering (General). Civil engineering (General)
      LCC:Mathematics
    • Abstract:
      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.
    • File Description:
      electronic resource
    • ISSN:
      1024-123X
      1563-5147
    • Relation:
      https://doaj.org/toc/1024-123X; https://doaj.org/toc/1563-5147
    • Accession Number:
      10.1155/2018/9187541
    • Rights:
      Journal Licence: CC BY
    • Accession Number:
      edsdoj.f10cdd5718a94ded95980d0ecdc9af0b
  • Citations
    • ABNT:
      CHENGLONG CAO. Measuring Sustainable Development Efficiency of Urban Logistics Industry. Mathematical Problems in Engineering, [s. l.], 2018. Disponível em: . Acesso em: 20 out. 2019.
    • AMA:
      Chenglong Cao. Measuring Sustainable Development Efficiency of Urban Logistics Industry. Mathematical Problems in Engineering. 2018. doi:10.1155/2018/9187541.
    • APA:
      Chenglong Cao. (2018). Measuring Sustainable Development Efficiency of Urban Logistics Industry. Mathematical Problems in Engineering. https://doi.org/10.1155/2018/9187541
    • Chicago/Turabian: Author-Date:
      Chenglong Cao. 2018. “Measuring Sustainable Development Efficiency of Urban Logistics Industry.” Mathematical Problems in Engineering. doi:10.1155/2018/9187541.
    • Harvard:
      Chenglong Cao (2018) ‘Measuring Sustainable Development Efficiency of Urban Logistics Industry’, Mathematical Problems in Engineering. doi: 10.1155/2018/9187541.
    • Harvard: Australian:
      Chenglong Cao 2018, ‘Measuring Sustainable Development Efficiency of Urban Logistics Industry’, Mathematical Problems in Engineering, viewed 20 October 2019, .
    • MLA:
      Chenglong Cao. “Measuring Sustainable Development Efficiency of Urban Logistics Industry.” Mathematical Problems in Engineering, 2018. EBSCOhost, doi:10.1155/2018/9187541.
    • Chicago/Turabian: Humanities:
      Chenglong Cao. “Measuring Sustainable Development Efficiency of Urban Logistics Industry.” Mathematical Problems in Engineering, 2018. doi:10.1155/2018/9187541.
    • Vancouver/ICMJE:
      Chenglong Cao. Measuring Sustainable Development Efficiency of Urban Logistics Industry. Mathematical Problems in Engineering [Internet]. 2018 [cited 2019 Oct 20]; Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.f10cdd5718a94ded95980d0ecdc9af0b&custid=s8280428