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The Impact of Technological Change and Lifestyles on the Energy Demand of Households. A Combination of Aggregate and Individual Household Analysis

Author

Listed:
  • Kurt Kratena

    (WIFO)

  • Ina Meyer
  • Michael Wüger

    (WIFO)

Abstract

This paper deals with integrating technology as well as lifestyles as driving forces of energy demand into a model of total private consumption. Private consumption is determined by economic variables like income and prices as well as these other factors. Technology is represented by variables measuring the efficiency of households' capital stocks and lifestyles by socio-demographic variables. Data for both types of variables are available in cross section consumer surveys and in time series data of aggregate consumption. The cross section surveys provide information on income and socio-demographic factors relevant for energy demand (characteristics of building and population density). The time series data contain information on prices and income as well as the energy efficiency embodied in household appliances. The final model of consumption consists of a consistent combination of both time series and cross section information into one comprehensive econometric model. This model describes demand for energy and non-energy commodities in an almost ideal demand system (AIDS) and is used in ex-post simulation exercises to isolate the impact of technological and socio-demographic variables on the demand for gasoline/diesel, heating and electricity.

Suggested Citation

  • Kurt Kratena & Ina Meyer & Michael Wüger, 2009. "The Impact of Technological Change and Lifestyles on the Energy Demand of Households. A Combination of Aggregate and Individual Household Analysis," WIFO Working Papers 334, WIFO.
    • Handle: RePEc:wfo:wpaper:y:2009:i:334
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    File URL: https://www.wifo.ac.at/wwa/pubid/35120
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    Citations

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    Cited by:

    1. Kurt Kratena & Ina Meyer, 2011. "Energy Scenarios 2030. A Basis for the Projection of Austrian Greenhouse Gas Emissions," WIFO Studies, WIFO, number 41909.
    2. Stefan Ederer & Jürgen Janger & Serguei Kaniovski & Daniela Kletzan-Slamanig & Johannes Berger & Ines Fortin & Helmut Hofer & Iain Paterson & Edith Skriner & Karin Schönpflug & Ulrich Schuh & Wolfgang, 2011. "Assessing the Lisbon Strategy 2005-2010 and Estimating Expected Effects from Reaching the EU 2020 Goals," WIFO Studies, WIFO, number 41747.
    3. Langevin, J. & Reyna, J.L. & Ebrahimigharehbaghi, S. & Sandberg, N. & Fennell, P. & Nägeli, C. & Laverge, J. & Delghust, M. & Mata, É. & Van Hove, M. & Webster, J. & Federico, F. & Jakob, M. & Camaras, 2020. "Developing a common approach for classifying building stock energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    4. Kurt Kratena & Ina Meyer & Michael Wüger, 2009. "Ökonomische, technologische und soziodemographische Einflussfaktoren der Energienachfrage," WIFO Monatsberichte (monthly reports), WIFO, vol. 82(7), pages 525-538, July.
    5. Kurt Kratena & Michael Wüger, 2010. "An Intertemporal Optimisation Model of Households in an E3-Model (Economy/Energy/Environment) Framework," WIFO Working Papers 382, WIFO.

    More about this item

    Keywords

    efficiency of appliances; household energy demand; lifestyles; rebound effects;
    All these keywords.

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