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Economic, Technological and Socio-demographic Factors of Energy Demand

  • Kurt Kratena

    (WIFO)

  • Ina Meyer

    (WIFO)

  • Michael Wüger

    (WIFO)

For a long time economic literature focused on the negative environmental effects from production processes. Countering this is the focus of this investigation, namely research into the demand by private households for climate relevant energy. In order to be fair to the complexity of the energy demands of private households, time series data as well as cross sectional data will be used. Furthermore specific data sets will be developed to establish consistent parameters of reaction for the most important factors. The energy demand of private households will also be represented in a model for total consumer demand, in order to capture the feedback effect on demand. The results bring into doubt whether policies which are aimed at reducing the energy demand of private households can solely be based on improvements in technological efficiency.

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Paper provided by WIFO in its series WIFO Working Papers with number 339.

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Length: 22 pages
Date of creation: 30 Jun 2009
Date of revision:
Handle: RePEc:wfo:wpaper:y:2009:i:339
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  1. Xavier Labandeira & José M. Labeaga & Miguel Rodríguez, 2006. "A Residential Energy Demand System for Spain," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 87-112.
  2. Salmon, Mark, 1982. "Error Correction Mechanisms," The Warwick Economics Research Paper Series (TWERPS) 199, University of Warwick, Department of Economics.
  3. Alan Carruth & Andrew Dickerson, 2003. "An asymmetric error correction model of UK consumer spending," Applied Economics, Taylor & Francis Journals, vol. 35(6), pages 619-630.
  4. Berkhout, Peter H. G. & Muskens, Jos C. & W. Velthuijsen, Jan, 2000. "Defining the rebound effect," Energy Policy, Elsevier, vol. 28(6-7), pages 425-432, June.
  5. J. Daniel Khazzoom, 1989. "Energy Savings from More Efficient Appliances: A Rejoinder," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 157-166.
  6. Nichele, Veronique & Robin, Jean-Marc, 1995. "Simulation of indirect tax reforms using pooled micro and macro French data," Journal of Public Economics, Elsevier, vol. 56(2), pages 225-244, February.
  7. J. Daniel Khazzoom, 1980. "Economic Implications of Mandated Efficiency in Standards for Household Appliances," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 21-40.
  8. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-92, December.
  9. Michael Wüger & Gerhard Thury, 2001. "The treatment of seasonality in error correction models as unobserved component: a case study for an Austrian consumption function," Empirical Economics, Springer, vol. 26(2), pages 325-341.
  10. Meyer, I. & Wessely, S., 2009. "Fuel efficiency of the Austrian passenger vehicle fleet--Analysis of trends in the technological profile and related impacts on CO2 emissions," Energy Policy, Elsevier, vol. 37(10), pages 3779-3789, October.
  11. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
  12. Banfi, Silvia & Filippini, Massimo & Hunt, Lester C., 2005. "Fuel tourism in border regions: The case of Switzerland," Energy Economics, Elsevier, vol. 27(5), pages 689-707, September.
  13. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
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