Evaluation of environmental and economic efficiency of transportation in China based on SBM model

In recent years, the rapid development of transportation industry brings economic benefits, at the same time, the problem of environmental pollution is becoming more and more serious. The emission of CO₂ intensifies the trend of global warming. How to measure the development of environment and economy is a huge challenge. This paper proposes a data envelopment analysis (DEA) method based on slacks-based measure (SBM) to evaluate the environmental and economic performance of the transportation industry from 2015 to 2017. According to the economic region, 30 provinces in China are divided into northeast, east, central and western regions for efficiency analysis. The model can determine the low efficiency decision units and finally put forward improvement suggestions for the low efficiency areas.

• Record URL:
  • https://doi.org/10.1016/j.procs.2022.01.142
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1877050922001430
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
• Supplemental Notes:
  • © 2022 Xu Jiang, et al. Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
• Authors:
  • Jiang, Xu
  • Ma, Hewen
  • Wu, Xiao
  • Zou, Yanpin
  • Fu, Jianwen
• Conference:
  • 8th International Conference on Information Technology and Quantitative Management (ITQM 2020 & 2021): Developing Global Digital Economy after COVID-19
  • Location: Chengdu , China
  • Date: 2021-7-9 to 2021-7-11
• Publication Date: 2022

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1120-1127
• Serial:
  • Procedia Computer Science
  • Volume: 199
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0509
  • Serial URL: http://www.sciencedirect.com/science/journal/18770509
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Data analysis; Economic efficiency; Environmental impacts; Global warming; Transportation
• Geographic Terms: China
• Subject Areas: Data and Information Technology; Economics; Education and Training; Transportation (General);

Filing Info

• Accession Number: 01836458
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 23 2022 4:16PM