Title: A Comparative Study of Energy Efficiency of OECD Countries: An Application of the Stochastic Frontier Analysis
Authors: Hu, Jin-Li
Honma, Satoshi
經營管理研究所
Institute of Business and Management
Keywords: Industry Energy Efficiency;Stochastic frontier analysis (SFA);Total-factor energy efficiency (TFEE);International comparison
Issue Date: 1-Jan-2014
Abstract: 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.
URI: http://dx.doi.org/10.1016/j.egypro.2014.12.447
http://hdl.handle.net/11536/135690
ISSN: 1876-6102
DOI: 10.1016/j.egypro.2014.12.447
Journal: INTERNATIONAL CONFERENCE ON APPLIED ENERGY, ICAE2014
Volume: 61
Begin Page: 2280
End Page: 2283
Appears in Collections:Conferences Paper


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