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Mathematical Problems in Engineering
Volume 2014, Article ID 121804, 12 pages
http://dx.doi.org/10.1155/2014/121804
Research Article

Measuring the Productivity of Energy Consumption of Major Industries in China: A DEA-Based Method

1Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China
2School of Management, Harbin Institute of Technology, Harbin 150001, China
3North-China Pearl River Investment Stock Company, Department of Investment and Development Center, Beijing 100124, China

Received 16 June 2013; Revised 9 November 2013; Accepted 10 December 2013; Published 21 January 2014

Academic Editor: Jianming Shi

Copyright © 2014 Xishuang Han et al. 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.

Abstract

Data envelopment analysis can be applied to measure the productivity of multiple input and output decision-making units. In addition, the data envelopment analysis-based Malmquist productivity index can be used as a tool for measuring the productivity change during different time periods. In this paper, we use an input-oriented model to measure the energy consumption productivity change from 1999 to 2008 of fourteen industry sectors in China as decision-making units. The results show that there are only four sectors that experienced effective energy consumption throughout the whole reference period. It also shows that these sectors always lie on the efficiency frontier of energy consumption as benchmarks. The other ten sectors experienced inefficiency in some two-year time periods and the productivity changes were not steady. The data envelopment analysis-based Malmquist productivity index provides a good way to measure the energy consumption and can give China's policy makers the information to promote their strategy of sustainable development.