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A Dynamic Model for Road Gasoline and Diesel Consumption: An Application for Spanish Regions

Author

Listed:
  • Rosa M. Gonz lez-Marrero

    (Departamento An lisis Econ mico, IUDR, Universidad de La Laguna, Spain)

  • Rosa M. Lorenzo-Alegr a

    (Departamento An lisis Econ mico, IUDR, Universidad de La Laguna, Spain)

  • Gustavo A. Marrero

    (Departamento An lisis Econ mico, IUDR, Universidad de La Laguna, Spain)

Abstract

This paper analyzes the factors explaining the aggregate fuel consumption for road transport in Spain in a dynamic panel data framework. Three features on this study are the use of a balanced panel using regional data, the distinction between gasoline and diesel and the specification of a dynamic panel data (DPD) model and estimate it by system Generalized Methods of Moments (GMM). Our results show that most explanatory variables are significant in explaining the evolution of gasoline consumption, while diesel consumption is found to be independent of most of these factors. The differences between the markets of the gasoline (most for passenger transport use) and the diesel (passenger and freight transport are important) could explain the results for the diesel model. Moreover, the intensive dieselization process that has taken place in Spain over the last decade, which has resulted in diesel consumption being exposed to factors - i.e., regulatory - which are not of a strictly economic nature. This finding highlights the need to consider different explanatory variables and models for gasoline and diesel consumption, and to go further in the research. Finally, we find that traditional estimation procedures, such as fixed and random effect estimators, produce important differences with respect to system-GMM, which may even change policy recommendations.

Suggested Citation

  • Rosa M. Gonz lez-Marrero & Rosa M. Lorenzo-Alegr a & Gustavo A. Marrero, 2012. "A Dynamic Model for Road Gasoline and Diesel Consumption: An Application for Spanish Regions," International Journal of Energy Economics and Policy, Econjournals, vol. 2(4), pages 201-209.
  • Handle: RePEc:eco:journ2:2012-04-1
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    3. Marrero, Ángel S. & Marrero, Gustavo A. & González, Rosa Marina & Rodríguez-López, Jesús, 2021. "Convergence in road transport CO2 emissions in Europe," Energy Economics, Elsevier, vol. 99(C).
    4. Mohcine Bakhat & José M. Labeaga & Xavier Labandeira & Xiral Lñpez, 2013. "Economic Crisis and Elasticities of Car Fuels: Evidence for Spain," Working Papers fa15-2013, Economics for Energy.
    5. Barla, Philippe & Gilbert-Gonthier, Mathieu & Kuelah, Jean-René Tagne, 2014. "The demand for road diesel in Canada," Energy Economics, Elsevier, vol. 43(C), pages 316-322.
    6. Siti Indati Mustapa & Hussain Ali Bekhet, 2015. "Investigating Factors Affecting CO2 Emissions in Malaysian Road Transport Sector," International Journal of Energy Economics and Policy, Econjournals, vol. 5(4), pages 1073-1083.
    7. Wadud, Zia, 2016. "Diesel demand in the road freight sector in the UK: Estimates for different vehicle types," Applied Energy, Elsevier, vol. 165(C), pages 849-857.
    8. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.

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    More about this item

    Keywords

    Fuel consumption; Road transport; Dynamic Panel Data model; GMM estimates;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O56 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Oceania

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