IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v37y2009i12p5326-5333.html
   My bibliography  Save this article

Automotive fuel consumption in Brazil: Applying static and dynamic systems of demand equations

Author

Listed:
  • Iootty, Mariana
  • Pinto Jr., Helder
  • Ebeling, Francisco

Abstract

This paper aims to investigate and explain the performance of the Brazilian demand for automotive fuels in the period 1970-2005. It estimates the price and income elasticities for all the available fuels in the automotive sector in the country: gasoline, compressed natural gas (CNG), ethanol and diesel. The analysis of the expenditure allocation process among these fuels is carried out through the estimation of a linear approximation of an Almost Ideal Demand System (AIDS) model. Two estimation methods were implemented: the static (through a seemingly unrelated regression) and a dynamic (through a vector error correction model). Specification tests support the use of the latter. The empirical analysis suggests a high substitutability between gasoline and ethanol; being this relation higher than the one observed between gasoline and CNG. The study shows that gasoline, ethanol and diesel are normal goods, and with the exception of ethanol, they are expenditure elastic. CNG was estimated as an inferior good.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:enepol:v:37:y:2009:i:12:p:5326-5333
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(09)00573-4
    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. K.G. Balcombe & J.R. Davis, 1996. "An application of cointegration theory in the estimation of the Almost Ideal Demand system for food consumption in Bulgaria," Agricultural Economics, International Association of Agricultural Economists, vol. 15(1), pages 47-60, September.
    2. Katarina Juselius, 1999. "Models and relations in economics and econometrics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 6(2), pages 259-290.
    3. Dahl, Carol & Sterner, Thomas, 1991. "Analysing gasoline demand elasticities: a survey," Energy Economics, Elsevier, vol. 13(3), pages 203-210, July.
    4. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521839198, October.
    5. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871, October.
    6. 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.
    7. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    8. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Baek, Ji Won, 2016. "The effects of the Internet and mobile services on urban household expenditures: The case of South Korea," Telecommunications Policy, Elsevier, vol. 40(1), pages 22-38.
    3. Rodrigues, Niágara & Losekann, Luciano & Silveira Filho, Getulio, 2018. "Demand of automotive fuels in Brazil: Underlying energy demand trend and asymmetric price response," Energy Economics, Elsevier, vol. 74(C), pages 644-655.
    4. 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.
    5. Motallebi, Marzieh & Pendell, Dustin L., 2013. "Estimating an Almost Ideal Demand System Model for Meats in Iran," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150188, Agricultural and Applied Economics Association.
    6. Pessoa, Joao Paulo & Santos, Roberto Amaral & Chimeli, Ariaster, 2023. "Natural Gas Vehicles: Consequences to Fuel Markets and the Environment," SocArXiv 7tvgy, Center for Open Science.
    7. Roberto Amaral-Santos & Ariaster Chimeli & Joao Paulo Pessoa, 2023. "Natural Gas Vehicles: Consequences to Fuel Markets and the Environment," Working Papers, Department of Economics 2023_07, University of São Paulo (FEA-USP).
    8. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Ethanol demand in Brazil: Regional approach," Energy Policy, Elsevier, vol. 39(5), pages 2289-2298, May.
    9. Pouliot, Sebastien, 2013. "Arbitrage between ethanol and gasoline: evidence from motor fuel consumption in Brazil," ISU General Staff Papers 201301010800001007, Iowa State University, Department of Economics.
    10. Ngui, Dianah & Mutua, John & Osiolo, Hellen & Aligula, Eric, 2011. "Household energy demand in Kenya: An application of the linear approximate almost ideal demand system (LA-AIDS)," Energy Policy, Elsevier, vol. 39(11), pages 7084-7094.
    11. José M. Labeaga & Xavier Labandeira & Xiral López-Otero, 2018. "Energy Tax Reform and Poverty Alleviation in Mexico," Working Papers 1801, Universidade de Vigo, Departamento de Economía Aplicada.
    12. Sébastien Pouliot & Kenneth A Liao & Bruce A Babcock, 2018. "Estimating Willingness to Pay for E85 in the United States Using an Intercept Survey of Flex Motorists," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(5), pages 1486-1509.
    13. Archer, Marcelo & Szklo, Alexandre, 2016. "Can increasing gasoline supply in the United States affect ethanol production in Brazil?," Renewable Energy, Elsevier, vol. 95(C), pages 586-596.
    14. Oliveira, Sydnei Marssal de & Ribeiro, Celma de Oliveira & Cicogna, Maria Paula Vieira, 2018. "Uncertainty effects on production mix and on hedging decisions: The case of Brazilian ethanol and sugar," Energy Economics, Elsevier, vol. 70(C), pages 516-524.
    15. 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.

    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. Bernstein, Ronald & Madlener, Reinhard, 2015. "Short- and long-run electricity demand elasticities at the subsectoral level: A cointegration analysis for German manufacturing industries," Energy Economics, Elsevier, vol. 48(C), pages 178-187.
    2. Kyritsis, Evangelos & Serletis, Apostolos, 2018. "The zero lower bound and market spillovers: Evidence from the G7 and Norway," Research in International Business and Finance, Elsevier, vol. 44(C), pages 100-123.
    3. Grau, Aaron Stephan Alexander & Hockmann, Heinrich, 2017. "Estimating oligopsony power on two vertically integrated markets," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261277, European Association of Agricultural Economists.
    4. Adu, Raymond & Litsios, Ioannis & Baimbridge, Mark, 2019. "Real exchange rate and asymmetric shocks in the West African Monetary Zone (WAMZ)," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 59(C), pages 232-249.
    5. Efimova, Olga & Serletis, Apostolos, 2014. "Energy markets volatility modelling using GARCH," Energy Economics, Elsevier, vol. 43(C), pages 264-273.
    6. Cerqueira, Vinícius Dos Santos & Ribeiro, Márcio Bruno & Martinez, Thiago Sevilhano, 2014. "Propagação Assimétrica de Choques Monetários na Economia Brasileira: Evidências com base em um modelo vetorial não-linear de transição suave," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(1), April.
    7. Kascha, Christian & Trenkler, Carsten, 2011. "Bootstrapping the likelihood ratio cointegration test in error correction models with unknown lag order," Computational Statistics & Data Analysis, Elsevier, vol. 55(2), pages 1008-1017, February.
    8. MacLachlan, Matthew J. & Hagerman, Amy D., 2017. "Measuring Storage Responses of Broiler Meat Producers During an Outbreak of Highly Pathogenic Avian Influenza," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258032, Agricultural and Applied Economics Association.
    9. Elżbieta Szaruga & Elżbieta Załoga, 2022. "Environmental Management from the Point of View of the Energy Intensity of Road Freight Transport and Shocks," IJERPH, MDPI, vol. 19(21), pages 1-22, November.
    10. Jesser PALADINES, 2017. "Oil Price and Real GDP Growth of Ecuador: A Vector Autoregressive Approach," Journal of Economics and Political Economy, KSP Journals, vol. 4(1), pages 71-78, March.
    11. Bhaskara Rao, B. & Rao, Gyaneshwar, 2009. "Cointegration and the demand for gasoline," Energy Policy, Elsevier, vol. 37(10), pages 3978-3983, October.
    12. Robert Socha & Piotr Wdowiński, 2018. "Tendencje zmian cen na światowym rynku ropy naftowej po 2000 roku," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 103-135.
    13. Mevlud Islami & Paul Welfens, 2013. "Financial market integration, stock markets and exchange rate dynamics in Eastern Europe," International Economics and Economic Policy, Springer, vol. 10(1), pages 47-79, March.
    14. Thomas Glauben & Jens-Peter Loy & Julia Körner, 2007. "Der Einfluss der Euro-Einführung auf die Preisentwicklung bei frischen Lebensmitteln in Deutschland," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(3), pages 457-485.
    15. Byrne, Joseph P. & Nagayasu, Jun, 2010. "Structural breaks in the real exchange rate and real interest rate relationship," Global Finance Journal, Elsevier, vol. 21(2), pages 138-151.
    16. Serletis, Apostolos & Istiak, Khandokar, 2017. "Financial intermediary leverage spillovers," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 1000-1007.
    17. Helmut Lütkepohl, 2006. "Structural vector autoregressive analysis for cointegrated variables," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 75-88, March.
    18. MacLachlan, Matthew J. & Boussios, David, 2018. "Identifying the price determinants of animal products in the presence of structural breaks," 2018 Annual Meeting, August 5-7, Washington, D.C. 273974, Agricultural and Applied Economics Association.
    19. James Alm & Abel Embaye, 2010. "Explaining The Growth Of Government Spending In South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 78(2), pages 152-169, June.
    20. Robert Socha & Piotr Wdowiński, 2018. "Crude oil price and speculative activity: a cointegration analysis," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 10(3), pages 263-304, September.

    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:enepol:v:37:y:2009:i:12:p:5326-5333. 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/locate/enpol .

    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.