Measurement of productive efficiency with frontier methods: A case study for wind farms

In this paper, we measure the productive efficiency of a group of wind farms during the period 2001–2004 using the frontier methods Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA). Taking an extensive definition of the productive process of wind electricity as our starting poi...

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Veröffentlicht in:Energy economics Jg. 32; H. 5; S. 1199 - 1208
Hauptverfasser: Iglesias, Guillermo, Castellanos, Pablo, Seijas, Amparo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier B.V 01.09.2010
Elsevier
Elsevier Science Ltd
Schriftenreihe:Energy Economics
Schlagworte:
Agricultural technology
Applied sciences
Case studies
Data analysis
Data envelopment analysis
DEA
Economic data
Economic development
Economic impact
Efficiency
Efficiency Wind farm DEA SFA
Electric energy
Electricity
Energy
Energy economics
Energy efficiency
Energy policy
Exact sciences and technology
General, economic and professional studies
Measurement
Measures
Methodology. Modelling
Natural energy
Operators
Power generation
SFA
Stochastic models
Stochastic processes
Studies
Technology
Wind energy
Wind farm
Wind farms
DEA
Q4
D241
Efficiency
Wind farm
SFA
ISSN:0140-9883, 1873-6181
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:In this paper, we measure the productive efficiency of a group of wind farms during the period 2001–2004 using the frontier methods Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA). Taking an extensive definition of the productive process of wind electricity as our starting point, we obtain results which allow us to identify, on the one hand, an essentially ex ante efficiency measure and, on the other hand, aspects of relevance for wind farm development companies (developers), technology suppliers and operators in terms of their economic impact. These results may also be of interest for regulators and other stakeholders in the sector. Furthermore, we discuss the implications of the simultaneous use of DEA and SFA methodologies.
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ISSN:0140-9883
1873-6181
DOI:10.1016/j.eneco.2010.03.004