Analysis of China’s Provincial Energy Efficiency Based on the Generalized DEA Method

Article Preview

Abstract:

In recent years, with the rapid economic growth, the demand on the amount of energy in China is increasing. So the problem of how to improve the energy utilization efficiency and save energy consumption has to be tackled. The traditional CCR model and BCC model used in the study of provincial energy efficiency do not take the impact of technological progress into consideration. Therefore, the paper uses the generalized DEA method to research the energy utilization efficiency of China’s 29 provinces, that is, to evaluate and analyze the energy utilization efficiency by selecting the capital stock, employment and total energy consumption of China’s provinces as input factors and GDP, per capital GDP as output factors, and then draw tables showing each province’s change of average annual overall efficiency and the pure technology changes, and finally analyze the regularities underlying these changes.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 953-954)

Pages:

890-895

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Jin-Li Hu and Shih-Chuan Wang. Total-Factor energy efficiency of Regions in China[J]. Energy Policy, 2006(17): 3206-3217.

DOI: 10.1016/j.enpol.2005.06.015

Google Scholar

[2] Dan Shi. Regional differences China energy efficiency and energy saving potential analysis[J]. Industrial Economics, 2007(1): 49-58 (in Chinese).

Google Scholar

[3] Chu Wei, Manhong Shen. The energy efficiency and its influential factors: Based on DEA empirical analysis[J]. Management World, 2007(8): 66-76 (in Chinese).

Google Scholar

[4] Zhongfu Tan, Chao Yu. An empirical study of the DEA efficiency of energy consumption structure in China[J]. East China Electric Power, 2008(9): 1023-1026 (in Chinese).

Google Scholar

[5] Chunyou Wu, Qi Wu. A study of evaluation model of energy efficiency based on super efficiency DEA[J]. Management, 2009(11): 1460-1465(in Chinese).

Google Scholar

[6] Zhanxin Ma. Research on the envelopment analysis method of data[J]. System Engineering and Electronics, 2002, 24 (3): 42-46 (in Chinese).

Google Scholar

[7] Zhanxin Ma, Shengyun Ma. The research based on the sample envelopment analysis method of data of C2W model [J]. System Engineering and Electronics, 2009, 31 (2): 366-372 (in Chinese).

Google Scholar

[8] Zhanxin Ma. Generalized DEA model of reference set and the relative properties [J]. System Engineering and Electronics, 2012, 34 (4): 709-714 (in Chinese).

Google Scholar

[9] Haojie Shan. Re-estimate of China capital stock K: 1952~2006 years [J]. Quantitative & Technical Economics, 2008(10): 17-31 (in Chinese).

Google Scholar