Energy and Environmental Efficiency of China’s Transportation Sector: A Multidirectional Analysis Approach

Gongbing Bi, Pingchun Wang, Feng Yang and Liang Liang

Mathematical Problems in Engineering, 2014, vol. 2014, 1-12

Abstract:

With the rapid economic development, the transportation sector becomes one of the high-energy-consumption and high-CO 2 -emissions sectors in China. In order to ensure efficient use of energy and to reduce CO 2 pollution, it is important to gain the best performance standards in China’s transportation sector. Data envelopment analysis (DEA) has been accepted as a popular tool of efficiency measurement. However, previous studies based on DEA are mainly restricted to the radial expansions of outputs or radial contractions of inputs. In this paper, we present a nonradial DEA model with multidirectional efficiency analysis (MEA) involving undesirable outputs for the measurement of regional energy and environmental efficiency of China’s transportation sector during the period 2006–2010. We not only evaluate the energy and environmental efficiency level and trend of China’s transportation sector but also investigate the efficiency patterns of 30 regions and three major areas of China. Additionally, we identify the energy saving potential and CO 2 emissions reduction potential for each province and area in China in this study.

Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2014/539596.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2014/539596.xml (text/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:539596

DOI: 10.1155/2014/539596

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().