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Analyzing light fuel demand elasticities in Brazil using cointegration techniques

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  • Rodrigues, Luciano
  • Bacchi, Mirian Rumenos Piedade

Abstract

This study is intended to assess the sensitivity of demand for light fuels in Brazil to changes in prices and income, considering the unique characteristics of the Brazilian fleet, the lack of convergence across studies available for the domestic market and its importance in discussions on climate change and national security, among others. For this purpose, the short- and long-term price and income elasticities of light fuel demand were estimated using cointegration techniques, based on an empirical model that incorporates the unique features of the internal market. Despite the characteristics of the Brazilian fleet, the results showed that the elasticities found for the national market are similar to those seen in other countries. The conceptual framework and empirical analysis that were used also allowed for a better understanding of the differences between the results of studies on demand for gasoline, ethanol or natural gas in Brazil and those found in the international literature, providing key players in the sector with crucial information for designing public policies and business strategies.

Suggested Citation

  • Rodrigues, Luciano & Bacchi, Mirian Rumenos Piedade, 2017. "Analyzing light fuel demand elasticities in Brazil using cointegration techniques," Energy Economics, Elsevier, vol. 63(C), pages 322-331.
    • Handle: RePEc:eee:eneeco:v:63:y:2017:i:c:p:322-331
    DOI: 10.1016/j.eneco.2017.02.012
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    as
    1. Orellano, Veronica Fernandez & Souza, Alberto De Nes de & Azevedo, Paulo Furquim de, 2013. "Elasticidade-preço da Demanda por Etanol no Brasil: como renda e preços relativos explicam diferenças entre estados," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 51(4), pages 1-20, December.
    2. 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.
    3. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    4. Santos, Gervásio F., 2013. "Fuel demand in Brazil in a dynamic panel data approach," Energy Economics, Elsevier, vol. 36(C), pages 229-240.
    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. Polemis, Michael L., 2006. "Empirical assessment of the determinants of road energy demand in Greece," Energy Economics, Elsevier, vol. 28(3), pages 385-403, May.
    7. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    8. Drollas, Leonidas P., 1984. "The demand for gasoline : Further evidence," Energy Economics, Elsevier, vol. 6(1), pages 71-82, January.
    9. Crôtte, Amado & Noland, Robert B. & Graham, Daniel J., 2010. "An analysis of gasoline demand elasticities at the national and local levels in Mexico," Energy Policy, Elsevier, vol. 38(8), pages 4445-4456, August.
    10. 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.
    11. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    12. Eltony, M. N. & Al-Mutairi, N. H., 1995. "Demand for gasoline in Kuwait : An empirical analysis using cointegration techniques," Energy Economics, Elsevier, vol. 17(3), pages 249-253, July.
    13. Bentzen, Jan, 1994. "An empirical analysis of gasoline demand in Denmark using cointegration techniques," Energy Economics, Elsevier, vol. 16(2), pages 139-143, April.
    14. David F. Hendry & Katarina Juselius, 2001. "Explaining Cointegration Analysis: Part II," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 75-120.
    15. Dickey, David A & Pantula, Sastry G, 1987. "Determining the Ordering of Differencing in Autoregressive Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(4), pages 455-461, October.
    16. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    17. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    18. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    19. Hirotugu Akaike, 1969. "Fitting autoregressive models for prediction," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 21(1), pages 243-247, December.
    20. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    21. Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
    22. Fernandes, Rosangela Aparecida Soares & Santos, Cristiane Marcia dos & Peixoto, Sarah Lorena, 2012. "Determinantes Da Demanda De Gasolina C No Estado De Minas Gerais, 2002 A 2010," Revista de Economia e Agronegócio / Brazilian Review of Economics and Agribusiness, Federal University of Vicosa, Department of Agricultural Economics, vol. 10(1), pages 1-20.
    23. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    24. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    25. Cardoso, Leonardo Chaves Borges & Bittencourt, Maurício Vaz Lobo, 2013. "Mensuração das Elasticidades-preço da Demanda, Cruzada e Renda no Mercado de Etanol Brasileiro: um estudo usando painéis cointegrados," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 51(4), January.
    26. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    27. 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.
    28. Pantula, Sastry G., 1989. "Testing for Unit Roots in Time Series Data," Econometric Theory, Cambridge University Press, vol. 5(2), pages 256-271, August.
    29. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    30. Alberto Salvo & Cristian Huse, 2011. "Is Arbitrage Tying the Price of Ethanol to that of Gasoline? Evidence from the Uptake of Flexible-Fuel Technology," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 119-148.
    31. Baranzini, Andrea & Weber, Sylvain, 2013. "Elasticities of gasoline demand in Switzerland," Energy Policy, Elsevier, vol. 63(C), pages 674-680.
    32. David Edgerton & Ghazi Shukur, 1999. "Testing autocorrelation in a system perspective testing autocorrelation," Econometric Reviews, Taylor & Francis Journals, vol. 18(4), pages 343-386.
    33. Márcia Azanha Ferraz Dias de Moraes & David Zilberman, 2014. "Production of Ethanol from Sugarcane in Brazil," Natural Resource Management and Policy, Springer, edition 127, number 978-3-319-03140-8, March.
    34. Dahl, Carol & Sterner, Thomas, 1991. "Analysing gasoline demand elasticities: a survey," Energy Economics, Elsevier, vol. 13(3), pages 203-210, July.
    35. Márcia Azanha Ferraz Dias de Moraes & David Zilberman, 2014. "The Free Market: The Profound Changes and the New Agenda," Natural Resource Management and Policy, in: Production of Ethanol from Sugarcane in Brazil, edition 127, chapter 14, pages 149-193, Springer.
    36. 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.
    37. Johansen, Søren & Juselius, Katarina, 1992. "Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 211-244.
    38. Kui-Yin Cheung & Elspeth Thomson, 2004. "The Demand for Gasoline in China: A Cointegration Analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(5), pages 533-544.
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    1. Danelon, André Felipe & Spolador, Humberto Francisco Silva & Bergtold, Jason Scott, 2023. "The role of productivity and efficiency gains in the sugar-ethanol industry to reduce land expansion for sugarcane fields in Brazil," Energy Policy, Elsevier, vol. 172(C).

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    More about this item

    Keywords

    Cointegration; Fuel demand; Time series; Private transportation; Elasticities;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • D1 - Microeconomics - - Household Behavior

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