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Climate Control Efficiency

Author

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  • G.D. Ferrier
  • J.G. Hirschberg

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.

Suggested Citation

  • G.D. Ferrier & J.G. Hirschberg, 1992. "Climate Control Efficiency," The Energy Journal, , vol. 13(1), pages 37-54, January.
    • Handle: RePEc:sae:enejou:v:13:y:1992:i:1:p:37-54
    DOI: 10.5547/ISSN0195-6574-EJ-Vol13-No1-3
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    References listed on IDEAS

    as
    1. Joseph G. Hirschberg & Dennis J. Aigner, 1983. "An Analysis of Commercial and Industrial Customer Response to Time-of-Use Rates," The Energy Journal, , vol. 4(1_suppl), pages 103-126, June.
    2. Trimble, John & Hirst, Eric, 1983. "Energy Use in Institutional Buildings: Estimates from State Energy-Audit Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(4), pages 337-347, October.
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    Citations

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    Cited by:

    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Boyd, Gale A. & Lee, Jonathan M., 2019. "Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis," Energy Economics, Elsevier, vol. 81(C), pages 159-174.
    3. Peter Grösche, 2009. "Measuring residential energy efficiency improvements with DEA," Journal of Productivity Analysis, Springer, vol. 31(2), pages 87-94, April.
    4. Joanne Evans & Massimo Filippini & Lester C Hunt, 2011. "Measuring energy efficiency and its contribution towards meeting CO2 targets: estimates for 29 OECD countries," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 135, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    5. 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.
    6. Joanne Evans & Massimo Filippini & Lester C. Hunt, 2013. "The contribution of energy efficiency towards meeting CO2 targets," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 8, pages 175-223, Edward Elgar Publishing.

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    More about this item

    Keywords

    Climate change; Data envelopment analysis (DEA); Efficiency;
    All these keywords.

    JEL classification:

    • F0 - International Economics - - General

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