A stochastic frontier analysis of energy efficiency of China's chemical industry

被引:128
作者
Lin, Boqiang [1 ,2 ]
Long, Houyin [3 ]
机构
[1] Minjiang Univ, Newhuadu Business Sch, Fuzhou 350108, Fujian, Peoples R China
[2] Xiamen Univ, Inst Studies Energy Policy, Collaborat Innovat Ctr Energy Econ & Energy Polic, Xiamen 361005, Fujian, Peoples R China
[3] Xiamen Univ, Sch Econ, China Ctr Energy Econ Res, Xiamen 361005, Fujian, Peoples R China
关键词
SFA; Energy efficiency; Energy conservation; MEASURING ENVIRONMENTAL PERFORMANCE; RENEWABLE ENERGY; DEA; TAIWAN; CONSERVATION; SECTOR;
D O I
10.1016/j.jclepro.2014.08.104
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As an energy-intensive industry, China's chemical industry consumed 347.1 million ton coal equivalent of energy in 2011, which was equal to the sum of the overall energy consumption of Uzbekistan and Czech Republic. Thus, it is crucial to analyze the industry's energy efficiency and energy saving potential. In this paper, we adopt the stochastic frontier analysis to study the average energy efficiency and energy saving potential of the chemical industry based on the assumption of the trans-log production function. The results show that energy price and enterprise scale are conducive for the improvement of energy efficiency while ownership structure has an opposite effect. The average energy efficiency in China was 0.6897 during 2005-2011, with Shanghai having the highest and Shanxi the lowest. In addition, the energy efficiency of East China was higher than that of West and Central China, and the energy efficiency gap between the Eastern and the Western regions was widening. The results also show that China's energy saving potential was 89.42 million ton coal equivalent, with Shanxi having the highest, followed by Inner Mongolia. Moreover, the energy saving potential of East China was the largest. Finally, we provide policy recommendations for energy efficiency improvement in China's chemical industry. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:235 / 244
页数:10
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