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Ethanol demand under the flex-fuel technology regime in Brazil

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  • de Freitas, Luciano Charlita
  • Kaneko, Shinji

Abstract

This paper analyzes the characteristics of ethanol demand in the context of fuel mix diversification in Brazil. Currently, ethanol is the most important gasoline additive and alternative fuel consumed in Brazil and is responsible there for profound changes in the dynamics of fuel consumption. The diffusion of flex-fuel vehicles in Brazil symbolizes a new stage of ethanol expansion and is a central component of the increasing demand for fuel. Accordingly, we evaluate ethanol demand in Brazil following the introduction of flex-fuel vehicles using a cointegration approach and autoregressive distributed lag bounds tests over the period 2003–2010. The evidences confirm that during the last decade, ethanol has strengthened its position as both an independent fuel and a substitute for gasoline. There is also evidence that growth in the Brazilian automobile fleet based on flex-fuel technology is a major driving factor of long-run ethanol demand. Further, the dynamics of gasohol (mandatory blend of gasoline and ethanol) and ethanol prices operate in a symmetric manner over ethanol demand, thereby evidencing the increasing substitutability between these alternative fuels.

Suggested Citation

  • de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Ethanol demand under the flex-fuel technology regime in Brazil," Energy Economics, Elsevier, vol. 33(6), pages 1146-1154.
  • Handle: RePEc:eee:eneeco:v:33:y:2011:i:6:p:1146-1154
    DOI: 10.1016/j.eneco.2011.03.011
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    1. Robert Engle & Clive Granger, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Michael K. Berkowitz & Nancy Gallini & Eric Miller & Rob Wolfe, 1990. "Disaggregate Analysis of the Demand for Gasoline," Canadian Journal of Economics, Canadian Economics Association, vol. 23(2), pages 253-275, May.
    3. Bentzen, Jan & Engsted, Tom, 2001. "A revival of the autoregressive distributed lag model in estimating energy demand relationships," Energy, Elsevier, vol. 26(1), pages 45-55.
    4. Bentzen, Jan, 1994. "An empirical analysis of gasoline demand in Denmark using cointegration techniques," Energy Economics, Elsevier, vol. 16(2), pages 139-143, April.
    5. Baltagi, Badi H. & Griffin, James M., 1983. "Gasoline demand in the OECD : An application of pooling and testing procedures," European Economic Review, Elsevier, vol. 22(2), pages 117-137, July.
    6. Pacini, Henrique & Silveira, Semida, 2011. "Consumer choice between ethanol and gasoline: Lessons from Brazil and Sweden," Energy Policy, Elsevier, vol. 39(11), pages 6936-6942.
    7. Parikh, Jyoti & Purohit, Pallav & Maitra, Pallavi, 2007. "Demand projections of petroleum products and natural gas in India," Energy, Elsevier, vol. 32(10), pages 1825-1837.
    8. Espey, Molly, 1996. "Watching the fuel gauge: An international model of automobile fuel economy," Energy Economics, Elsevier, vol. 18(1-2), pages 93-106, April.
    9. Dahl, Carol & Sterner, Thomas, 1991. "Analysing gasoline demand elasticities: a survey," Energy Economics, Elsevier, vol. 13(3), pages 203-210, July.
    10. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    11. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    12. David Bonilla & Timothy Foxon, 2009. "Demand for New Car Fuel Economy in the UK, 1970-2005," Journal of Transport Economics and Policy, University of Bath, vol. 43(1), pages 55-83, January.
    13. Iootty, Mariana & Pinto Jr., Helder & Ebeling, Francisco, 2009. "Automotive fuel consumption in Brazil: Applying static and dynamic systems of demand equations," Energy Policy, Elsevier, vol. 37(12), pages 5326-5333, December.
    14. Alves, Denisard C. O. & De Losso da Silveira Bueno, Rodrigo, 2003. "Short-run, long-run and cross elasticities of gasoline demand in Brazil," Energy Economics, Elsevier, vol. 25(2), pages 191-199, March.
    15. Samimi, Rodney, 1995. "Road transport energy demand in Australia: A cointegration approach," Energy Economics, Elsevier, vol. 17(4), pages 329-339, October.
    16. Ghosh, Sajal, 2010. "High speed diesel consumption and economic growth in India," Energy, Elsevier, vol. 35(4), pages 1794-1798.
    17. Iwayemi, Akin & Adenikinju, Adeola & Babatunde, M. Adetunji, 2010. "Estimating petroleum products demand elasticities in Nigeria: A multivariate cointegration approach," Energy Economics, Elsevier, vol. 32(1), pages 73-85, January.
    18. Park, Sung Y. & Zhao, Guochang, 2010. "An estimation of U.S. gasoline demand: A smooth time-varying cointegration approach," Energy Economics, Elsevier, vol. 32(1), pages 110-120, January.
    19. Ferreira, Alex Luiz & de Almeida Prado, Fernando Pigeard & da Silveira, Jaylson Jair, 2009. "Flex cars and the alcohol price," Energy Economics, Elsevier, vol. 31(3), pages 382-394, May.
    20. Akinboade, Oludele A. & Ziramba, Emmanuel & Kumo, Wolassa L., 2008. "The demand for gasoline in South Africa: An empirical analysis using co-integration techniques," Energy Economics, Elsevier, vol. 30(6), pages 3222-3229, November.
    21. Ramanathan, R., 1999. "Short- and long-run elasticities of gasoline demand in India: An empirical analysis using cointegration techniques," Energy Economics, Elsevier, vol. 21(4), pages 321-330, August.
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    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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