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Sustainability 2015, 7(4), 4225-4239; doi:10.3390/su7044225

Estimating Energy Consumption of Transport Modes in China Using DEA

1,3
,
2,3,* , 1,3
and
1
1
School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China
2
School of Environment, Beijing Normal University, Beijing 100875, China
3
China Energy Research Society, Beijing 100045, China
*
Author to whom correspondence should be addressed.
Academic Editor: Jack Barkenbus
Received: 26 February 2015 / Revised: 2 April 2015 / Accepted: 3 April 2015 / Published: 10 April 2015
(This article belongs to the Special Issue Transportation and Sustainability)
View Full-Text   |   Download PDF [740 KB, uploaded 10 April 2015]   |  

Abstract

The rapid growth of transport requirements in China will incur increasing transport energy demands and associated environmental pressures. In this paper, we employ a generalized data envelopment analysis (DEA) to evaluate the relative energy efficiency of rail, road, aviation and water transport from 1971 to 2011 by considering the energy input and passenger-kilometers (PKM) and freight ton-kilometers (TKM) outputs. The results show that the optimal energy efficiencies observed in 2011 are for rail and water transport, with the opposite observed for the energy efficiencies of aviation and road transport. In addition, we extend the DEA model to estimate future transport energy consumption in China. If each transport mode in 2020 is optimized throughout the observed period, the national transport energy consumption in 2020 will reach 497,701 kilotons coal equivalent (ktce), whereas the annual growth rate from 2011 to 2020 will be 5.7%. Assuming that efficiency improvements occur in this period, the estimated national transport energy consumption in 2020 will be 443,126 ktce, whereas the annual growth rate from 2011 to 2020 will be 4.4%, which is still higher than that of the national total energy consumption (3.8%). View Full-Text
Keywords: transport energy consumption; energy efficiency; data envelopment analysis transport energy consumption; energy efficiency; data envelopment analysis
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Lin, W.; Chen, B.; Xie, L.; Pan, H. Estimating Energy Consumption of Transport Modes in China Using DEA. Sustainability 2015, 7, 4225-4239.

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