Energy demand and energy efficiency in the OECD countries: a stochastic demand frontier approach
This paper attempts to estimate a panel ‘frontier’ whole economy aggregate energy demand function for 29 countries over the period 1978 to 2006 using parametric stochastic frontier analysis (SFA). Consequently, unlike standard energy demand econometric estimation, the energy efficiency of each country is also modelled and it is argued that this represents a measure of the underlying efficiency for each country over time, as well as the relative efficiency across the 29 OECD countries. This shows that energy intensity is not necessarily a good indicator of energy efficiency, whereas by controlling for a range of economic and other factors, the measure of energy efficiency obtained via this approach is. This is, as far as is known, the first attempt to econometrically model OECD energy demand and efficiency in this way and it is arguably particularly relevant in a world dominated by environmental concerns with the subsequent need to conserve energy and/or use it as efficiently as possible. Moreover, the results show that although for a number of countries the change in energy intensity over time might give a reasonable indication of efficiency improvements; this is not always the case. Therefore, unless this analysis is undertaken, it is not possible to know whether the energy intensity of a country is a good proxy for energy efficiency or not. Hence, it is argued that this analysis should be undertaken to avoid potentially misleading advice to policy makers.
|Date of creation:||Jul 2010|
|Date of revision:|
|Publication status:||Published in The Energy Journal, 32 (2), 2011, pp. 59-80. (Revised Version)|
|Contact details of provider:|| Postal: |
Phone: +44(0)1483 686956
Fax: +44(0)1483 689548
Web page: http://www.seec.surrey.ac.uk
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Lester C Hunt & Guy Judge & Yasushi Ninomiya, 2003.
"Modelling Underlying Energy Demand Trends,"
Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS)
105, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
- Mehdi Farsi & Massimo Filippini & William Greene, 2005.
"Efficiency Measurement in Network Industries: Application to the Swiss Railway Companies,"
Journal of Regulatory Economics,
Springer, vol. 28(1), pages 69-90, 07.
- Mehdi Farsi & Massimo Filippini & William Greene, 2004. "Efficiency Measurement in Network Industries: Application to the Swiss Railway Companies," CEPE Working paper series 04-32, CEPE Center for Energy Policy and Economics, ETH Zurich.
- Dermot Gately & Hiliard G. Huntington, 2002. "The Asymmetric Effects of Changes in Price and Income on Energy and Oil Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 19-55.
- Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
- Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
- Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
- James M. Griffin & Craig T. Schulman, 2005. "Price Asymmetry in Energy Demand Models: A Proxy for Energy-Saving Technical Change?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-22.
- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
- Hunt, Lester C. & Judge, Guy & Ninomiya, Yasushi, 2003.
"Underlying trends and seasonality in UK energy demand: a sectoral analysis,"
Elsevier, vol. 25(1), pages 93-118, January.
- Hunt, L.C. & Judge, G. & Ninomiya, Y., 2000. "Underlying Trends and Seasonality in UK Energy Demands: A Sectorial Analysis," Papers 134, Portsmouth University - Department of Economics.
- Adeyemi, Olutomi I. & Hunt, Lester C., 2007.
"Modelling OECD industrial energy demand: Asymmetric price responses and energy-saving technical change,"
Elsevier, vol. 29(4), pages 693-709, July.
- Olutomi I Adeyemi & Lester C Hunt, 2006. "Modelling OECD Industrial Energy Demand: Asymmetric Price Responses and Energy – Saving Technical Change," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 115, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
- Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
When requesting a correction, please mention this item's handle: RePEc:sur:seedps:127. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lester C Hunt)
If references are entirely missing, you can add them using this form.