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Climate Control Efficiency

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Author Info
G.D. Ferrier
J. G. Hirschberg

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Abstract

This paper presents an application of Data Envelopment Analysis (DEA) to energy audit data by defining climate control systems as production processes. This method is proposed as an alternative to the use of regression based models which have been used in previous analyses of this type of data. The advantage of this method is the ability to compute relative efficiency measures for each observation in the data and to define these values without the assumption of a particular specification of the technology. Furthermore, this method can be used with a large number of inputs and outputs.

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Publisher Info
Article provided by International Association for Energy Economics in its journal The Energy Journal.

Volume (Year): 13 (1992)
Issue (Month): 1 ()
Pages: 37-54
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Handle: RePEc:aen:journl:1992v13-01-a03

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F0 - International Economics - - General

Cited by:
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  1. Peter Grösche, 2009. "Measuring residential energy efficiency improvements with DEA," Journal of Productivity Analysis, Springer, vol. 31(2), pages 87-94, April. [Downloadable!] (restricted)
    Other versions:
  2. Joseph G. Hirschberg & Jenny N. Lye, 2001. "Clustering in a Data Envelopment Analysis Using Bootstrapped Efficiency Scores," Department of Economics - Working Papers Series 800, The University of Melbourne. [Downloadable!]
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This page was last updated on 2009-12-22.


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