Power industry restructuring and eco-efficiency changes: A new slacks-based model in Malmquist-Luenberger Index measurement

被引：103

作者：

Arabi, Behrouz ^{[1
]}

Munisamy, Susila ^{[2
]}

Emrouznejad, Ali ^{[3
]}

Shadman, Foroogh ^{[4
]}

机构：

[1] Univ Malaya, Inst Grad Studies, Kuala Lumpur 50603, Malaysia

[2] Univ Malaya, Fac Econ & Adm, Kuala Lumpur 50603, Malaysia

[3] Aston Univ, Aston Business Sch, Birmingham B4 7ET, W Midlands, England

[4] Univ Malaya, Fac Engn, Kuala Lumpur 50603, Malaysia

来源：

ENERGY POLICY | 2014年 / 68卷

关键词：

Eco-efficiency measurement; Data envelopment analysis; Malmquist-Luenberger Index; DATA ENVELOPMENT ANALYSIS; DIRECTIONAL DISTANCE FUNCTIONS; ENVIRONMENTAL PERFORMANCE; UNDESIRABLE OUTPUTS; PRODUCTIVITY GROWTH; DEA APPROACH; PLANTS; SUSTAINABILITY; GENERATION; ALGORITHM;

D O I：

10.1016/j.enpol.2014.01.016

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Measuring variations in efficiency and its extension, eco-efficiency, during a restructuring period in different industries has always been a point of interest for regulators and policy makers. This paper assesses the impacts of restructuring of procurement in the Iranian power industry on the performance of power plants. We introduce a new slacks-based model for Malmquist-Luenberger (ML) Index measurement and apply it to the power plants to calculate the efficiency, eco-efficiency, and technological changes over the 8-year period (2003-2010) of restructuring in the power industry. The results reveal that although the restructuring had different effects on the individual power plants, the overall growth in the eco-efficiency of the sector was mainly due to advances in pure technology. We also assess the correlation between efficiency and eco-efficiency of the power plants, which indicates a close relationship between these two steps, thus lending support to the incorporation of environmental factors in efficiency analysis. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：132 / 145

页数：14

共 72 条

[1]

Agency for Toxic Substances and Disease Registry ATSDR, 1998, TOX PROF SULF DIOX

[2] The overall assurance interval for the non-Archimedean Epsilon in DEA models; a partition base algorithm [J].

Alirezaee, MR .

APPLIED MATHEMATICS AND COMPUTATION, 2005, 164 (03) :667-674

[3]

[Anonymous], 2013, Key World Energy Statistics 2013

[4]

[Anonymous], SCANDINAVIAN J EC S

[5]

[Anonymous], 1951, ACTIVITY ANAL PRODUC

[6] Data envelopment scenario analysis for setting targets to electricity generating plants [J].

Athanassopoulos, AD ;

Lambroukos, N ;

Seiford, L .

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1999, 115 (03) :413-428

[7] Location optimization of solar plants by an integrated hierarchical DEA PCA approach [J].

Azadeh, A. ;

Ghaderi, S. F. ;

Maghsoudi, A. .

ENERGY POLICY, 2008, 36 (10) :3993-4004

[8] Performance assessment of electric power generations using an adaptive neural network algorithm [J].

Azadeh, A. ;

Ghaderi, S. F. ;

Anvari, M. ;

Saberi, M. .

ENERGY POLICY, 2007, 35 (06) :3155-3166

[9] An integrated DEA-COLS-SFA algorithm for optimization and policy making of electricity distribution units [J].

Azadeh, A. ;

Ghaderi, S. F. ;

Omrani, H. ;

Eivazy, H. .

ENERGY POLICY, 2009, 37 (07) :2605-2618

[10]

Bennett M., 2004, ENV MANAGEMENT ACCOU, P1

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