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How important are household demographic characteristics to explain private car use patterns? A multilevel approach to Austrian data

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Author Info

  • Riccardo Borgoni

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Ulf-Christian Ewert

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Alexia Fürnkranz-Prskawetz

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

Private car use is one of the major contributors to pollution in industrialised countries. It is therefore important to understand the factors that determine the demand for car use. In explaining the variability in car use, it is important to take into account household demographic characteristics and local and regional differences in infrastructure, in addition to the economic variables commonly used in the prevailing literature on the topic. The appropriate tool to explain car ownership and car use is, therefore, a multilevel statistical approach. An Austrian household survey from 1997 finds that household characteristics such as age, gender, education and employment of the household head, household size and housing quality can effect the variability of car ownership and car use. The same survey also gives a clear indication of regional heterogeneity. This heterogeneity persists when we controlled for the variability of regional economic welfare and infrastructure as indicated by population density.

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File URL: http://www.demogr.mpg.de/papers/working/wp-2002-006.pdf
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Bibliographic Info

Paper provided by Max Planck Institute for Demographic Research, Rostock, Germany in its series MPIDR Working Papers with number WP-2002-006.

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Length: 27 pages
Date of creation: Feb 2002
Date of revision:
Handle: RePEc:dem:wpaper:wp-2002-006

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Web page: http://www.demogr.mpg.de/

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  1. Alexia Fürnkranz-Prskawetz & Jiang Leiwen & Brian C. O´Neill, 2002. "Demographic composition and projections of car use in Austria," MPIDR Working Papers, Max Planck Institute for Demographic Research, Rostock, Germany WP-2002-034, Max Planck Institute for Demographic Research, Rostock, Germany.
  2. Dahl, Carol & Sterner, Thomas, 1991. "Analysing gasoline demand elasticities: a survey," Energy Economics, Elsevier, Elsevier, vol. 13(3), pages 203-210, July.
  3. Ludwig Fahrmeir & Stefan Lang, 2001. "Bayesian inference for generalized additive mixed models based on Markov random field priors," Journal of the Royal Statistical Society Series C, Royal Statistical Society, Royal Statistical Society, vol. 50(2), pages 201-220.
  4. Carlsson-Kanyama, Annika & Linden, Anna-Lisa, 1999. "Travel patterns and environmental effects now and in the future:: implications of differences in energy consumption among socio-economic groups," Ecological Economics, Elsevier, Elsevier, vol. 30(3), pages 405-417, September.
  5. Ulf-Christian Ewert & Alexia Prskawetz, 2000. "Private car use in Austria by demographic structure and regional variations," MPIDR Working Papers, Max Planck Institute for Demographic Research, Rostock, Germany WP-2000-006, Max Planck Institute for Demographic Research, Rostock, Germany.
  6. Greening, Lorna A & Jeng, Hann Tarn, 1994. "Lifecycle analysis of gasoline expenditure patterns," Energy Economics, Elsevier, Elsevier, vol. 16(3), pages 217-228, July.
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Cited by:
  1. Alexia Prskawetz & Jiang Leiwen & Brian C. O Neill, 2004. "Demographic composition and projections of car use in Austria," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 2(1), pages 175-202.
  2. Gräb, J. & Grimm, M., 2009. "Spatial inequalities explained: evidence from Burkina Faso," ISS Working Papers - General Series, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague 18725, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.

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