IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2020-02-52.html
   My bibliography  Save this article

Fuel Demand Elasticities in Brazil: A Panel Data Analysis with Instrumental Variables

Author

Listed:
  • Frederico Uch a

    (Department of Economics, Universidade Federal da Bahia, Brazil,)

  • Cleiton Silva de Jesus

    (Universidade Estadual de Feira de Santana, Brazil,)

  • Leonardo Chaves Borges Cardoso

    (Universidade Federal de Vi osa, Brazil.)

Abstract

The aim of this paper is to provide demand elasticities for the three main fuels used in Brazil: gasoline, ethanol and diesel. We used a panel data approach at municipal level for the period between 2007 and 2016. The innovation in this study is in its introduction of a new instrumental variable for prices, combining three taxes and municipal distance from state capital. The main results are as follows: i) the gasoline, ethanol and diesel demands are price elastic, meaning that all own-price elasticities are greater than one; ii) ethanol consumption is more elastic when the CNG price is added as an explanatory variable, but this does not apply to gasoline; iii) an increase in GDP positively affects the demand for gasoline and diesel (less than proportionally), but does not affect demand for ethanol; iv) fleet size impacts the consumption of all fuels, except when the CNG price is excluded from the ethanol model; v) the ethanol-to-gasoline price ratio is a relevant variable for the demand of both gasoline and ethanol.

Suggested Citation

  • Frederico Uch a & Cleiton Silva de Jesus & Leonardo Chaves Borges Cardoso, 2020. "Fuel Demand Elasticities in Brazil: A Panel Data Analysis with Instrumental Variables," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 450-457.
  • Handle: RePEc:eco:journ2:2020-02-52
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/8787/4918
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/ijeep/article/view/8787/4918
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Coglianese & Lucas W. Davis & Lutz Kilian & James H. Stock, 2017. "Anticipation, Tax Avoidance, and the Price Elasticity of Gasoline Demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 1-15, January.
    2. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Ethanol demand in Brazil: Regional approach," Energy Policy, Elsevier, vol. 39(5), pages 2289-2298, May.
    3. Santos, Gervásio F., 2013. "Fuel demand in Brazil in a dynamic panel data approach," Energy Economics, Elsevier, vol. 36(C), pages 229-240.
    4. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    5. Coyle, David & DeBacker, Jason & Prisinzano, Richard, 2012. "Estimating the supply and demand of gasoline using tax data," Energy Economics, Elsevier, vol. 34(1), pages 195-200.
    6. Storchmann, Karl, 2005. "Long-Run Gasoline demand for passenger cars: the role of income distribution," Energy Economics, Elsevier, vol. 27(1), pages 25-58, January.
    7. Dahl, Carol A., 2012. "Measuring global gasoline and diesel price and income elasticities," Energy Policy, Elsevier, vol. 41(C), pages 2-13.
    8. Cardoso, Leonardo C.B. & Bittencourt, Maurício V.L. & Litt, Wade H. & Irwin, Elena G., 2019. "Biofuels policies and fuel demand elasticities in Brazil," Energy Policy, Elsevier, vol. 128(C), pages 296-305.
    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. Burke, Paul J. & Nishitateno, Shuhei, 2013. "Gasoline prices, gasoline consumption, and new-vehicle fuel economy: Evidence for a large sample of countries," Energy Economics, Elsevier, vol. 36(C), pages 363-370.
    2. Scheitrum, Daniel, 2017. "Renewable Natural Gas as a Solution to Climate Goals: Response to California's Low Carbon Fuel Standard," MPRA Paper 77193, University Library of Munich, Germany.
    3. Scott, K. Rebecca, 2015. "Demand and price uncertainty: Rational habits in international gasoline demand," Energy, Elsevier, vol. 79(C), pages 40-49.
    4. Ander Iraizoz & José M Labeaga, 2022. "Incidence and Avoidance Effects of Spatial Fuel Tax Differentials: Evidence using Regional Tax Variation in Spain," Working Papers halshs-03789430, HAL.
    5. Michael Bates & Seolah Kim, 2019. "Per-Cluster Instrumental Variables Estimation: Uncovering the Price Elasticity of the Demand for Gasoline," Working Papers 202003, University of California at Riverside, Department of Economics.
    6. 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).
    7. Hector M. Nuñez and Jesús Otero, 2017. "Integration in Gasoline and Ethanol Markets in Brazil over Time and Space under the Flex-fuel Technology," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    8. Leonid Galchynskyi, 2020. "Estimation of the price elasticity of petroleum products’ consumption in Ukraine," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 15(2), pages 315-339, June.
    9. Michael Bates & Seolah Kim, 2019. "Estimating the Price Elasticity of Gasoline Demand in Correlated Random Coefficient Models with Endogeneity," Working Papers 202304, University of California at Riverside, Department of Economics, revised Aug 2023.
    10. Oladosu, Gbadebo, 2022. "Bubbles in US gasoline prices: Assessing the role of hurricanes and anti–price gouging laws," Journal of Commodity Markets, Elsevier, vol. 27(C).
    11. Gabriel E. Lade & C.-Y. Cynthia Lin Lawell, 2021. "The Design of Renewable Fuel Mandates and Cost Containment Mechanisms," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 213-247, June.
    12. Nguyen-Ones , Mai & Steen, Frode, 2018. "Market Power in Retail Gasoline Markets," Discussion Paper Series in Economics 21/2019, Norwegian School of Economics, Department of Economics, revised 01 Jul 2019.
    13. Ghoddusi, Hamed & Morovati, Mohammad & Rafizadeh, Nima, 2019. "Foreign Exchange Shocks and Gasoline Consumption," Energy Economics, Elsevier, vol. 84(C).
    14. Havranek, Tomas & Kokes, Ondrej, 2015. "Income elasticity of gasoline demand: A meta-analysis," Energy Economics, Elsevier, vol. 47(C), pages 77-86.
    15. Bernard, Jean-Thomas & Kichian, Maral, 2019. "The long and short run effects of British Columbia's carbon tax on diesel demand," Energy Policy, Elsevier, vol. 131(C), pages 380-389.
    16. Bajo-Buenestado, Raúl, 2016. "Evidence of asymmetric behavioral responses to changes in gasoline prices and taxes for different fuel types," Energy Policy, Elsevier, vol. 96(C), pages 119-130.
    17. Khanna, Madhu & Hector, Nunez & David, Zilberman, 2014. "The Political-Economy of Biofuel and Cheap Oil Policies in Brazil," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169471, Agricultural and Applied Economics Association.
    18. Mauricio Vaz Lobo Bittencourt & Leonardo Chaves Borges Cardoso & Elena Grace Irwin, 2016. "Biofuels Policies And Fuel Demand Elasticities In Brazil: An Iv Approach," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 181, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    19. Inge van den Bijgaart & David Klenert & Linus Mattauch & Simona Sulikova, 2024. "Healthy climate, healthy bodies: Optimal fuel taxation and physical activity," Economica, London School of Economics and Political Science, vol. 91(361), pages 93-122, January.
    20. Bigerna, S. & Bollino, C.A. & Micheli, S. & Polinori, P., 2017. "Revealed and stated preferences for CO2 emissions reduction: The missing link," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1213-1221.

    More about this item

    Keywords

    Fuel demand; Causal inference; Panel data analysis; price elasticity; cross price elasticity.;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation

    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:eco:journ2:2020-02-52. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    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.