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Modelling OECD industrial energy demand: Asymmetric price responses and energy-saving technical change

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  • Adeyemi, Olutomi I.
  • Hunt, Lester C.

Abstract

The industrial sector embodies a multifaceted production process consequently modelling the ‘derived demand’ for energy is a complex issue; made all the more difficult by the need to capture the effect of technical progress of the capital stock. This paper is an exercise in econometric modelling of industrial energy demand using panel data for 15 OECD countries over the period 1962 – 2003 exploring the issue of energy-saving technical change and asymmetric price responses. Although difficult to determine precisely, it is tentatively concluded that the preferred specification for OECD industrial energy demand incorporates asymmetric price responses but not exogenous energysaving technical change.
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  • Adeyemi, Olutomi I. & Hunt, Lester C., 2007. "Modelling OECD industrial energy demand: Asymmetric price responses and energy-saving technical change," Energy Economics, Elsevier, vol. 29(4), pages 693-709, July.
  • Handle: RePEc:eee:eneeco:v:29:y:2007:i:4:p:693-709
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    1. Hunt, Lester C. & Judge, Guy & Ninomiya, Yasushi, 2003. "Underlying trends and seasonality in UK energy demand: a sectoral analysis," Energy Economics, Elsevier, vol. 25(1), pages 93-118, January.
    2. Dargay, Joyce & Gately, Dermot, 1997. "The demand for transportation fuels: Imperfect price-reversibility?," Transportation Research Part B: Methodological, Elsevier, vol. 31(1), pages 71-82, February.
    3. Stephen Casler, 1997. "Applied production theory: explicit, flexible, and general functional forms," Applied Economics, Taylor & Francis Journals, vol. 29(11), pages 1483-1492.
    4. Jones, Clifton T, 1994. "Accounting for technical progress in aggregate energy demand," Energy Economics, Elsevier, vol. 16(4), pages 245-252, October.
    5. Kaddour Hadri, 2000. "Testing for stationarity in heterogeneous panel data," Econometrics Journal, Royal Economic Society, vol. 3(2), pages 148-161.
    6. Prosser, Richard D., 1985. "Demand elasticities in OECD : Dynamical aspects," Energy Economics, Elsevier, vol. 7(1), pages 9-12, January.
    7. Lester C. Hunt & Guy Judge & Yasushi Ninomiya, 2003. "Modelling underlying energy demand trends," Chapters, in: Lester C. Hunt (ed.), Energy in a Competitive Market, chapter 9, Edward Elgar Publishing.
    8. Rudolf Wolffram, 1971. "Positivistic Measures of Aggregate Supply Elasticities: Some New Approaches—Some Critical Notes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(2), pages 356-359.
    9. Bruce Traill & David Colman & Trevor Young, 1978. "Estimating Irreversible Supply Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(3), pages 528-531.
    10. 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.
    11. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    12. Dargay, Joyce & Gately, Dermot, 1995. "The imperfect price reversibility of non-transport oil demand in the OECD," Energy Economics, Elsevier, vol. 17(1), pages 59-71, January.
    13. Kamerschen, David R. & Porter, David V., 2004. "The demand for residential, industrial and total electricity, 1973-1998," Energy Economics, Elsevier, vol. 26(1), pages 87-100, January.
    14. Beenstock, M. & Willcocks, P., 1981. "Energy consumption and economic activity in industrialized countries : The dynamic aggregate time series relationship," Energy Economics, Elsevier, vol. 3(4), pages 225-232, October.
    15. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    16. John Dimitropoulos & Lester Hunt & Guy Judge, 2005. "Estimating underlying energy demand trends using UK annual data," Applied Economics Letters, Taylor & Francis Journals, vol. 12(4), pages 239-244.
    17. Berndt, Ernst R & Wood, David O, 1975. "Technology, Prices, and the Derived Demand for Energy," The Review of Economics and Statistics, MIT Press, vol. 57(3), pages 259-268, August.
    18. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    19. Lester C. Hunt (ed.), 2003. "Energy in a Competitive Market," Books, Edward Elgar Publishing, number 2519.
    20. James P. Houck, 1977. "An Approach to Specifying and Estimating Nonreversible Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(3), pages 570-572.
    21. Kenneth B. Medlock III & Ronald Soligo, 2001. "Economic Development and End-Use Energy Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 77-105.
    22. 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.
    23. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    24. Hillard G. Huntington, 2006. "A Note on Price Asymmetry as Induced Technical Change," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-8.
    25. Jones, Clifton T, 1995. "A Dynamic Analysis of Interfuel Substitution in U.S. Industrial Energy Demand," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(4), pages 459-465, October.
    26. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    27. Philip R. Vande Kamp & Harry M. Kaiser, 1999. "Irreversibility in Advertising-Demand Response Functions: An Application to Milk," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(2), pages 385-396.
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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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