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Title: Linear programming models for measuring economy-wide energy efficiency performance
Authors: Zhou, P. 
Ang, B.W. 
Keywords: Data envelopment analysis
Energy efficiency
Undesirable outputs
Issue Date: 2008
Citation: Zhou, P., Ang, B.W. (2008). Linear programming models for measuring economy-wide energy efficiency performance. Energy Policy 36 (8) : 2901-2906. ScholarBank@NUS Repository.
Abstract: 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. © 2008 Elsevier Ltd. All rights reserved.
Source Title: Energy Policy
ISSN: 03014215
DOI: 10.1016/j.enpol.2008.03.041
Appears in Collections:Staff Publications

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