Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)

Evaluation of Energy-Saving & Emission Reduction Performance of Chinese Electric Power Industry

Authors
Yin Chen, Taihua Yang
Corresponding Author
Yin Chen
Available Online November 2016.
DOI
10.2991/iceep-16.2016.72How to use a DOI?
Keywords
electric power industry; energy-saving & emission reduction; performance evaluation; combination model
Abstract

Scientific performance evaluation is an important basis for government decision. This paper established the performance evaluation index system of electric power industry based on environmental technology, and then, SE-DEA model, entropy weight TOPSIS model and factor analysis model are used to calculate the scores and rankings respectively by means of the sectional data of Chinese regions in 2013. Then, Kendall-W correlation is used to verify the coherence of different evaluation results. Finally, fussy Borda model is applied to combine the independent evaluation results so that the combined evaluation result can be achieved.

Copyright
© 2016, 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 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)
Series
Advances in Engineering Research
Publication Date
November 2016
ISBN
978-94-6252-253-4
ISSN
2352-5401
DOI
10.2991/iceep-16.2016.72How to use a DOI?
Copyright
© 2016, 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  - Yin Chen
AU  - Taihua Yang
PY  - 2016/11
DA  - 2016/11
TI  - Evaluation of Energy-Saving & Emission Reduction Performance of Chinese Electric Power Industry
BT  - Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)
PB  - Atlantis Press
SP  - 428
EP  - 431
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-16.2016.72
DO  - 10.2991/iceep-16.2016.72
ID  - Chen2016/11
ER  -