Linear programming models for measuring economy-wide energy efficiency performance

被引:434
作者
Zhou, P. [1 ]
Ang, B. W. [2 ]
机构
[1] Natl Univ Singapore, Energy Studies Inst, Singapore 119620, Singapore
[2] Natl Univ Singapore, Dept Ind & Syst Engn, Singapore 119260, Singapore
关键词
energy efficiency; undesirable outputs; data envelopment analysis;
D O I
10.1016/j.enpol.2008.03.041
中图分类号
F [经济];
学科分类号
02 ;
摘要
Data envelopment analysis (DEA) has recently gained popularity in energy efficiency analysis. A common feature of the previously proposed DEA models for measuring energy efficiency performance is that they treat energy consumption as an input within a production framework without considering undesirable outputs. However, energy use results in the generation of undesirable outputs as by products of producing desirable outputs. Within a joint production framework of both desirable and undesirable outputs, this paper presents several DEA-type linear programming models for measuring economy-wide energy efficiency performance. In addition to considering undesirable outputs our, models treat different energy sources as different inputs so that changes in energy mix could be accounted for in evaluating energy efficiency. The proposed models are applied to measure the energy efficiency performances of 21 OECD countries and the results obtained are presented. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2911 / 2916
页数:6
相关论文
共 42 条
[1]   Monitoring changes in economy-wide energy efficiency: From energy-GDP ratio to composite efficiency index [J].
Ang, BW .
ENERGY POLICY, 2006, 34 (05) :574-582
[2]   Decomposition analysis for policymaking in energy: which is the preferred method? [J].
Ang, BW .
ENERGY POLICY, 2004, 32 (09) :1131-1139
[3]   A survey of index decomposition analysis in energy and environmental studies [J].
Ang, BW ;
Zhang, FQ .
ENERGY, 2000, 25 (12) :1149-1176
[4]  
[Anonymous], 2007, EN US NEW MILL TREND
[5]   An integrated, DEA PCA numerical taxonomy approach for energy efficiency assessment and consumption optimization in energy intensive manufacturing sectors [J].
Azadeh, A. ;
Amalnick, M. S. ;
Ghaderi, S. F. ;
Asadzadeh, S. M. .
ENERGY POLICY, 2007, 35 (07) :3792-3806
[6]   AGGREGATE ENERGY, EFFICIENCY, AND PRODUCTIVITY MEASUREMENT [J].
BERNDT, ER .
ANNUAL REVIEW OF ENERGY, 1978, 3 :225-273
[7]   Plant level productivity, efficiency, and environmental performance of the container glass industry [J].
Boyd, GA ;
Tolley, G ;
Pang, J .
ENVIRONMENTAL & RESOURCE ECONOMICS, 2002, 23 (01) :29-43
[8]   The impact of environmental constraints on productivity improvement in integrated paper plants [J].
Boyd, GA ;
McClelland, JD .
JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT, 1999, 38 (02) :121-142
[9]   Estimating the linkage between energy efficiency and productivity [J].
Boyd, GA ;
Pang, JX .
ENERGY POLICY, 2000, 28 (05) :289-296
[10]   MEASURING EFFICIENCY OF DECISION-MAKING UNITS [J].
CHARNES, A ;
COOPER, WW ;
RHODES, E .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) :429-444