A Comparative Study of Energy Efficiency of OECD Countries: An Application of the Stochastic Frontier Analysis

被引:25
|
作者
Hu, Jin-Li [1 ]
Honma, Satoshi [2 ]
机构
[1] Natl Chiao Tung Univ, Inst Business & Management, Hsinchu 30050, Taiwan
[2] Tokai Univ, Sch Polit Sci & Econ, Hiratsuka, Kanagawa 25912, Japan
关键词
Industry Energy Efficiency; Stochastic frontier analysis (SFA); Total-factor energy efficiency (TFEE); International comparison;
D O I
10.1016/j.egypro.2014.12.447
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We parametrically estimate total-factor energy efficiency (TFEE) scores for 10 industries in 14 developed countries for the period 1995-2005 using stochastic frontier analysis (SFA) technique. The model includes four inputs (labor, capital stock, energy, and non-energy intermediate inputs) and one output (value added). Unlike previous studies that use data envelopment analysis (DEA), our method can take into account statistical noises. The results show that More than half of the industries have insignificant changes in the inefficiency trend. However, construction, paper, and textile industries have significantly increasing inefficiency (decreasing efficiency). The metal industry is the only industry which has decreasing inefficiency (increasing efficiency). As a result, most of the OECD industries have much room in improving their total-factor energy efficiency. Moreover, more than half of the industries have insignificant changes in the inefficiency trend. However, construction, paper, and textile industries have significantly increasing inefficiency. The metal industry is the only industry which has decreasing inefficiency. As a result, most of the OECD industries have much room in improving their total-factor energy efficiency (C) 2014 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:2280 / 2283
页数:4
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