Energy Efficiency Analysis of Beijing Using the DEA-Tobit Two Stage Method

Abstract:

After stepping into the later period of heavy chemical industry, China faces a serious problem on imbalance between energy supply and energy demand. Improving energy efficiency is a positive fact in settlement of this predicament. Therefore, it is imperative for decision makers to know the influencing factors on energy efficiency. This paper uses DEA-Tobit analysis, a two-stage procedure, to research the impacts on energy efficiency of Beijing in China based on the data from 2000 to 2006. In the stage 1 DEA, total-factor energy efficiency is calculated by DEA-Malmquist method. In the stage 2 DEA, the efficiency scores obtained from the stage 1 DEA are as dependent variables, and then we estimate the Tobit regression model. The empirical study demonstrates that industrial structure optimization contributes to improving energy efficiency, and the Beijing’s working emphasis in the future is to improve energy use efficiency for other energy categories.

• Periodical: Advanced Materials Research (Volumes 608-609)
• Pages: 1210-1214
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.608-609.1210
• Online since: December 2012
• Authors: Yi Wang, Ying Li, Fan Yu Kong
• Keywords: Energy Efficiency, Malmquist Index Decomposition, Tobit Regression

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