LISS 2014 pp 247-251 | Cite as

Logistics Efficiency and Dynamic Trend Analysis Under Constraints of Energy Saving and Emissions Reducing: Case Study of Three Major Economic Circles in China

  • Shuang Chen
  • Meng Huang
  • Xuefeng Wang
  • Hongyuan Wang
Conference paper

Abstract

After Copenhagen conference, carbon revolution has been globally rising, the concept of low-carbon logistics has been the hot spot in logistics industry at present. The paper is based on low-carbon logistics and national energy saving and emissions reducing policy and introduces environmental constraints (carbon emission and energy consumption) to construct input-output index system. Using the data of three major economic circles (Bohai Rim, the Yangtze River Delta and the Pan-Pearl River Delta) in China from 2008 to 2012 as empirical objects, the paper analyzes the logistics efficiency and energy saving potential using ultra-efficient CCR-DEA model and does the dynamic trend analysis by Malmquist Index. The results show that the logistics efficiency of the Pan-Pearl River Delta economic circle is significantly lower than the Bohai Rim and the Yangtze River Delta economic circle. It has huge energy saving potentials and should accelerate its technological progress.

Keywords

Low-carbon cogistics Logistics efficiency Energy saving and emissions reducing Ultra-efficiency CCR-DEA model Malmquist index 

References

  1. Hamdan A, Rogers KJ (2008) Evaluating the efficiency of 3PL logistics operations. Int J Prod Econ 113(1):235–244CrossRefGoogle Scholar
  2. Tang JR, Lu LZ (2013) Logistics efficiency analysis of ten provinces in the east under carbon constraints. China Bus Mark 27(1):40–47Google Scholar
  3. Wang KL, Yang BC, Yang L (2012) Analysis on China’s energy efficiency and potentials of energy conservation and emissions reduction from the perspective of environmental impact. Manage Rev 24(8):40–50Google Scholar
  4. Xu P (2010) Research of efficiency of the logistics industry in liaoning province based on DEA. D. Dalian Maritime University, Dalian, pp 30-44Google Scholar
  5. Zhong YY, Zhong WZ (2012) China’s regional total factor carbon emission performance and influencing factors analysis. J Bus Econ 1(1):85–96Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Shuang Chen
    • 1
  • Meng Huang
    • 1
  • Xuefeng Wang
    • 1
  • Hongyuan Wang
    • 1
  1. 1.School of Management and EconomicsBeijing Institute of TechnologyBeijingChina

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