IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v42y2008i1p187-202.html
   My bibliography  Save this article

Changes in the structure of car ownership in Spain

Author

Listed:
  • Matas, Anna
  • Raymond, Josep-LLuis

Abstract

This paper analyses the factors determining the growth in car ownership in Spain over the last two decades. A discrete choice model is estimated at three points in time: 1980, 1990 and 2000. The paper compares the two alternative decision mechanisms used for modelling car ownership: ordered-response versus unordered-response mechanisms and concludes that on the basis of forecasting performance, the multinomial logit model and the ordered probit model are almost undistinguishable. The empirical results show that income elasticity is not constant and declines as car ownership increases. Besides, households living in rural areas are less income sensitive than those living in urban areas. Car ownership is also sensitive to the quality of public transport for those living in the largest cities. The results also confirm the existence of a generation effect, which will vanish around the year 2020, a weak life-cycle effect, and a positive effect of employment on the number of cars per household. Finally, the change in the estimated coefficients over time reflects an increase in mobility needs and, consequently, an increase in car ownership. The study also quantifies the relative importance of each explanatory factor to car ownership growth.

Suggested Citation

  • Matas, Anna & Raymond, Josep-LLuis, 2008. "Changes in the structure of car ownership in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 187-202, January.
    • Handle: RePEc:eee:transa:v:42:y:2008:i:1:p:187-202
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965-8564(07)00070-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dargay, Joyce M., 2002. "Determinants of car ownership in rural and urban areas: a pseudo-panel analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 38(5), pages 351-366, September.
    2. Anna Matas & Josep-Lluis Raymond, 2007. "Cross-section data, disequilibrium situations and estimated coefficients: evidence from car ownership demand," Working Papers XREAP2007-04, Xarxa de Referència en Economia Aplicada (XREAP), revised Jun 2007.
    3. Kitamura, Ryuichi & Bunch, David S., 1990. "Heterogeneity and State Dependence in Household Car Ownership: A Panel Analysis Using Ordered-Response Probit Models with Error Components," University of California Transportation Center, Working Papers qt0qv4q55r, University of California Transportation Center.
    4. Whelan, Gerard, 2007. "Modelling car ownership in Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(3), pages 205-219, March.
    5. Fred Mannering & Clifford Winston, 1985. "A Dynamic Empirical Analysis of Household Vehicle Ownership and Utilization," RAND Journal of Economics, The RAND Corporation, vol. 16(2), pages 215-236, Summer.
    6. Dargay, Joyce M, 2001. "The effect of income on car ownership: evidence of asymmetry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 807-821, November.
    7. Giuliano, Genevieve & Dargay, Joyce, 2006. "Car ownership, travel and land use: a comparison of the US and Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 106-124, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Matas, Anna & Raymond, José-Luis & Roig, José-Luis, 2009. "Car ownership and access to jobs in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(6), pages 607-617, July.
    2. Jou, Rong-Chang & Huang, Wen-Hsiu & Wu, Yuan-Chan & Chao, Ming-Che, 2012. "The asymmetric income effect on household vehicle ownership in Taiwan: A threshold cointegration approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 696-706.
    3. Nayum, Alim & Klöckner, Christian A. & Prugsamatz, Sunita, 2013. "Influences of car type class and carbon dioxide emission levels on purchases of new cars: A retrospective analysis of car purchases in Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 96-108.
    4. Van Acker, Veronique & Witlox, Frank, 2010. "Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship," Journal of Transport Geography, Elsevier, vol. 18(1), pages 65-74.
    5. Quaglione, Davide & Cassetta, Ernesto & Crociata, Alessandro & Marra, Alessandro & Sarra, Alessandro, 2019. "An assessment of the role of cultural capital on sustainable mobility behaviours: Conceptual framework and empirical evidence," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 24-34.
    6. Zhang, Zhao & Jin, Wen & Jiang, Hai & Xie, Qianyan & Shen, Wei & Han, Weijian, 2017. "Modeling heterogeneous vehicle ownership in China: A case study based on the Chinese national survey," Transport Policy, Elsevier, vol. 54(C), pages 11-20.
    7. Huang, Biao, 2007. "Random Utility Pseudo Panel Model and Application on Car Ownership Forecast," MPRA Paper 7778, University Library of Munich, Germany.
    8. Robert Kudłak & Wojciech Kisiała & Bartłomiej Kołsut, 2023. "Determinanty posiadania samochodu w Polsce: wyniki modelowania w ujęciu przestrzennym w latach 2005 i 2019," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 2, pages 152-173.
    9. Sabreena Anowar & Naveen Eluru & Luis F. Miranda-Moreno, 2016. "Analysis of vehicle ownership evolution in Montreal, Canada using pseudo panel analysis," Transportation, Springer, vol. 43(3), pages 531-548, May.
    10. Zhao, Pengjun & Bai, Yu, 2019. "The gap between and determinants of growth in car ownership in urban and rural areas of China: A longitudinal data case study," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    11. Sabreena Anowar & Naveen Eluru & Luis F. Miranda-Moreno, 2014. "Alternative Modeling Approaches Used for Examining Automobile Ownership: A Comprehensive Review," Transport Reviews, Taylor & Francis Journals, vol. 34(4), pages 441-473, July.
    12. Roorda, Matthew J. & Carrasco, Juan A. & Miller, Eric J., 2009. "An integrated model of vehicle transactions, activity scheduling and mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 217-229, February.
    13. Kudłak, Robert & Kisiała, Wojciech & Kołsut, Bartłomiej, 2024. "Systemic transformation, political reforms and car ownership in Poland," Journal of Transport Geography, Elsevier, vol. 117(C).
    14. Abu Toasin Oakil & Dorien Manting & Hans Nijland, 2018. "The role of individual characteristics in car ownership shortly after relationship dissolution," Transportation, Springer, vol. 45(6), pages 1871-1882, November.
    15. Yang, Hongtai & Zhai, Guocong & Liu, Xiaohan & Yang, Linchuan & Liu, Yugang & Yuan, Quan, 2022. "Determinants of city-level private car ownership: Effect of vehicle regulation policies and the relative price," Transport Policy, Elsevier, vol. 115(C), pages 40-48.
    16. Mulalic, Ismir & Rouwendal, Jan, 2020. "Does improving public transport decrease car ownership? Evidence from a residential sorting model for the Copenhagen metropolitan area," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    17. Groote, Jesper De & Ommeren, Jos Van & Koster, Hans R.A., 2016. "Car ownership and residential parking subsidies: Evidence from Amsterdam," Economics of Transportation, Elsevier, vol. 6(C), pages 25-37.
    18. Chi-Hong (Patrick) Tsai & Corinne Mulley & Geoffrey Clifton, 2014. "A Review of Pseudo Panel Data Approach in Estimating Short-run and Long-run Public Transport Demand Elasticities," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 102-121, January.
    19. repec:zbw:rwirep:0385 is not listed on IDEAS
    20. Nazari, Fatemeh & Mohammadian, Abolfazl (Kouros), 2023. "Modeling vehicle-miles of travel accounting for latent heterogeneity," Transport Policy, Elsevier, vol. 133(C), pages 45-53.
    21. Guo, Zhan, 2013. "Does residential parking supply affect household car ownership? The case of New York City," Journal of Transport Geography, Elsevier, vol. 26(C), pages 18-28.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:42:y:2008:i:1:p:187-202. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.