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

Xishuang Han, Xiaolong Xue, Jiaoju Ge, Hengqin Wu and Chang Su

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

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.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:121804

DOI: 10.1155/2014/121804

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