Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

An Improved Data Envelopment Analysis (DEA) Model to Measure China’s Energy Efficiency

Authors
Xiaqing Liu, Lusi Liu, Xiao Liu, Guixian Liu
Corresponding Author
Xiaqing Liu
Available Online July 2015.
DOI
10.2991/lemcs-15.2015.148How to use a DOI?
Keywords
DEA; Undesirable Outputs; Super-efficiency; TFEE (total factor energy efficiency); Tobit
Abstract

As the largest energy consumer, China is facing increasingly great pressure to guarantee energy supply and energy security, which puts higher demand for measuring and improving energy efficiency. DEA model has become a widely accepted method in measuring energy efficiency at the macro-economy level. Considering the maximum of desirable outputs, this paper develops a new DEA model based on super-efficiency evaluation. In view of the significant relationship between DEA efficiency and the Pareto solution, the effectiveness of the new DEA model and Pareto Optimality are analyzed. In addition, the new DEA model is utilized to study the development of China’s energy efficiency of 21 years period from 1991 to 2011. The results show that China’s energy efficiency has experienced such a trend as “down – rise - stationary wave -rise”. Compared with the two classical models, the results are much more consistent with the real change trend, which indicates that the accuracy of the new DEA model is improved. The analysis of the influence factors by the Tobit model shows that the rising of energy price and technology progress can increase the efficiency. Finally, based on the research results, this paper gives some policy recommendations on increasing China’s energy efficiency.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-6252-102-5
ISSN
1951-6851
DOI
10.2991/lemcs-15.2015.148How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaqing Liu
AU  - Lusi Liu
AU  - Xiao Liu
AU  - Guixian Liu
PY  - 2015/07
DA  - 2015/07
TI  - An Improved Data Envelopment Analysis (DEA) Model to Measure China’s Energy Efficiency
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 751
EP  - 758
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.148
DO  - 10.2991/lemcs-15.2015.148
ID  - Liu2015/07
ER  -