Please use this identifier to cite or link to this item:
|Title:||Linear programming models for measuring economy-wide energy efficiency performance|
|Authors:||Zhou, P. |
|Keywords:||Data envelopment analysis|
|Citation:||Zhou, P., Ang, B.W. (2008-08). 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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 27, 2018
WEB OF SCIENCETM
checked on May 1, 2018
checked on Jun 8, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.