Risk Analysis of Regional Energy Efficiency in China Based on DEA

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Energy is the foundation of modern social economy, and energy efficiency is an important issue that various countries concerned. By using the Data Envelope Analysis (DEA) method, we studied Chinas regional energy consumption and treatment situation of waste water and air pollution. So we can draw the conclusion that energy efficiency is generally good in the South China, the Northeast and the Northwest, which energy efficiency risk is low. But the efficiency is low in the North China and the East China. At the same time, the returns to scale of energy are decreasing in the North China, the East China, the Central China and the Southwest, so they should reduce the consumption of energy and enhance the treatment of waste water and air pollution, in order to reduce the Chinas regional energy efficiency risk.

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245-248

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Chinese Energy Statistics Yearbook 2009. Chinese Statistics Bureau. Beijing: China statistics press, (2010).

Google Scholar

[2] Ze-min Jiang. Thinking on China's energy problem[J]. Journal of Shanghai Jiaotong University, 2008(2): 1-15.

Google Scholar

[3] Zhan-xin Ma (2010). Data Envelopment Analysis Model and Method [M]. Beijing: Science press.

Google Scholar

[4] Sheng-xiang She. Energy Market Orientied Total Risk Management: Theory, Model and Application[D]. Hunan University, (2009).

Google Scholar

[5] Ping-lin He & Ya-dong Shi & Tao Li. Data Envelopment Analysis Method of Environmental Performance- A study based on the case of China's thermal power plant [J]. Accounting Research, 2012(2): 11-17.

Google Scholar

[6] Chames A, Cooper W W, Rhodes E. Measuring the efficiency of decision making units[J]. European Journal of Operational Research, 1978, 2(6): 429-444.

DOI: 10.1016/0377-2217(78)90138-8

Google Scholar