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The spatio-temporal dynamics of ethanol/gasoline price ratio in Brazil

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  • Laurini, Márcio Poletti

Abstract

We use an innovative method to analyze the spatio-temporal evolution of the ethanol/gasoline price ratio to end consumers in Brazil. This model allows estimating the distribution of prices throughout the country using a continuous space model estimated by Bayesian methods. We use data from the National Petroleum, Natural Gas and Biofuels Agency's price survey system, a weekly sample of 10% of fuel suppliers in Brazil, to estimate continuous projections of the price ratio for the entire country for the 2007–2014 period. We use this model to build an indicator of ethanol advantage in the country and show how this advantage has declined since 2009.

Suggested Citation

  • Laurini, Márcio Poletti, 2017. "The spatio-temporal dynamics of ethanol/gasoline price ratio in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1-12.
    • Handle: RePEc:eee:rensus:v:70:y:2017:i:c:p:1-12
    DOI: 10.1016/j.rser.2016.11.195
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    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. Michela Cameletti & Finn Lindgren & Daniel Simpson & Håvard Rue, 2013. "Spatio-temporal modeling of particulate matter concentration through the SPDE approach," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(2), pages 109-131, April.
    3. Niven, Robert K., 2005. "Ethanol in gasoline: environmental impacts and sustainability review article," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(6), pages 535-555, December.
    4. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Ethanol demand in Brazil: Regional approach," Energy Policy, Elsevier, vol. 39(5), pages 2289-2298, May.
    5. Salvo, Alberto & Huse, Cristian, 2013. "Build it, but will they come? Evidence from consumer choice between gasoline and sugarcane ethanol," Journal of Environmental Economics and Management, Elsevier, vol. 66(2), pages 251-279.
    6. Bojesen, M. & Birkin, M. & Clarke, G., 2014. "Spatial competition for biogas production using insights from retail location models," Energy, Elsevier, vol. 68(C), pages 617-628.
    7. Moreira, Jose R. & Goldemberg, Jose, 1999. "The alcohol program," Energy Policy, Elsevier, vol. 27(4), pages 229-245, April.
    8. El Montasser, Ghassen & Gupta, Rangan & Martins, Andre Luis & Wanke, Peter, 2015. "Are there multiple bubbles in the ethanol–gasoline price ratio of Brazil?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 19-23.
    9. Nepal, Rabindra, 2012. "Roles and potentials of renewable energy in less-developed economies: The case of Nepal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2200-2206.
    10. Cerqueira Leite, Rogério Cezar de & Verde Leal, Manoel Regis Lima & Barbosa Cortez, Luís Augusto & Griffin, W. Michael & Gaya Scandiffio, Mirna Ivonne, 2009. "Can Brazil replace 5% of the 2025 gasoline world demand with ethanol?," Energy, Elsevier, vol. 34(5), pages 655-661.
    11. Szklo, Alexandre & Schaeffer, Roberto & Delgado, Fernanda, 2007. "Can one say ethanol is a real threat to gasoline?," Energy Policy, Elsevier, vol. 35(11), pages 5411-5421, November.
    12. Geoffrey Heal, 2010. "Reflections--The Economics of Renewable Energy in the United States," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 4(1), pages 139-154, Winter.
    13. Strand, Jon, 2010. "Optimal fossil-fuel taxation with backstop technologies and tenure risk," Energy Economics, Elsevier, vol. 32(2), pages 418-422, March.
    14. Rico, Julieta A. Puerto & Mercedes, Sonia S.P. & Sauer, Ildo L., 2010. "Genesis and consolidation of the Brazilian bioethanol: A review of policies and incentive mechanisms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1874-1887, September.
    15. Du, Xiaodong & Carriquiry, Miguel A., 2013. "Flex-fuel vehicle adoption and dynamics of ethanol prices: lessons from Brazil," Energy Policy, Elsevier, vol. 59(C), pages 507-512.
    16. Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
    17. Finn Lindgren & Håvard Rue & Johan Lindström, 2011. "An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(4), pages 423-498, September.
    18. Rezende, Marcelo L. & Richardson, James W., 2015. "Economic feasibility of sugar and ethanol production in Brazil under alternative future prices outlook," Agricultural Systems, Elsevier, vol. 138(C), pages 77-87.
    19. Szulczyk, Kenneth R. & McCarl, Bruce A. & Cornforth, Gerald, 2010. "Market penetration of ethanol," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 394-403, January.
    20. Partha Dasgupta & Geoffrey Heal, 1974. "The Optimal Depletion of Exhaustible Resources," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 41(5), pages 3-28.
    21. Gomez, José M.A. & Legey, Luiz F.L., 2015. "An analysis of the impact of Flex-Fuel vehicles on fuel consumption in Brazil, applying Cointegration and the Kalman Filter," Energy, Elsevier, vol. 81(C), pages 696-705.
    22. 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.
    23. Bargos, Fabiano Fernandes & Lamas, Wendell de Queiroz & Bargos, Danubia Caporusso & Neto, Morun Bernardino & Pardal, Paula Cristiane Pinto Mesquita, 2016. "Location problem method applied to sugar and ethanol mills location optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 274-282.
    24. Su, Yujie & Zhang, Peidong & Su, Yuqing, 2015. "An overview of biofuels policies and industrialization in the major biofuel producing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 991-1003.
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    3. Derick David Quintino & Heloisa Lee Burnquist & Paulo Ferreira, 2022. "Relative Prices of Ethanol-Gasoline in the Major Brazilian Capitals: An Analysis to Support Public Policies," Energies, MDPI, vol. 15(13), pages 1-23, June.
    4. David, S.A. & Inácio, C.M.C. & Quintino, D.D. & Machado, J.A.T., 2020. "Measuring the Brazilian ethanol and gasoline market efficiency using DFA-Hurst and fractal dimension," Energy Economics, Elsevier, vol. 85(C).
    5. Biswal, Abinash & Kale, Rakesh & Balusamy, Saravanan & Banerjee, Raja & Kolhe, Pankaj, 2019. "Lemon peel oil as an alternative fuel for GDI engines: A spray characterization perspective," Renewable Energy, Elsevier, vol. 142(C), pages 249-263.

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