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Gasoline and diesel demand in the EU: Implications for the 2030 emission goal

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  • Aklilu, Abenezer Zeleke

Abstract

Methodologically consistent demand estimates are necessary to analyze and forecast the effect of a common fuel policy across the EU-28. This study estimates short-run and long-run price and income elasticities for gasoline and diesel demands using the ARDL Bounds approach that also tests the existence of a long-run relationship using data from 1978 to 2013. The results show that elasticity estimates between the EU-28 countries vary and the estimated long-run elasticities are higher than their short-run counterparts, which is in line with expectations based on the existing literature. The short-run and long-run income elasticities of gasoline and diesel demand are found to be more elastic than their price equivalents implying that if a charge on fuel is designed to decrease emissions by increasing the price, the charge needs to rise at a higher rate than income. An analysis of the EU's 2030 emission and fuel consumption reduction targets using the estimated long-run elasticities shows that, with the current tax scheme, it cannot be guaranteed that emission targets will be achieved and thus a more stringent fuel tax policy is essential.

Suggested Citation

  • Aklilu, Abenezer Zeleke, 2020. "Gasoline and diesel demand in the EU: Implications for the 2030 emission goal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
  • Handle: RePEc:eee:rensus:v:118:y:2020:i:c:s1364032119307385
    DOI: 10.1016/j.rser.2019.109530
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    References listed on IDEAS

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    1. Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "A meta-analysis on the price elasticity of energy demand," Energy Policy, Elsevier, vol. 102(C), pages 549-568.
    2. 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.
    3. Brons, Martijn & Nijkamp, Peter & Pels, Eric & Rietveld, Piet, 2008. "A meta-analysis of the price elasticity of gasoline demand. A SUR approach," Energy Economics, Elsevier, vol. 30(5), pages 2105-2122, September.
    4. Odhiambo, Nicholas M., 2009. "Energy consumption and economic growth nexus in Tanzania: An ARDL bounds testing approach," Energy Policy, Elsevier, vol. 37(2), pages 617-622, February.
    5. Amusa, Hammed & Amusa, Kafayat & Mabugu, Ramos, 2009. "Aggregate demand for electricity in South Africa: An analysis using the bounds testing approach to cointegration," Energy Policy, Elsevier, vol. 37(10), pages 4167-4175, October.
    6. Paresh Kumar Narayan, 2005. "The saving and investment nexus for China: evidence from cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 1979-1990.
    7. Pock, Markus, 2010. "Gasoline demand in Europe: New insights," Energy Economics, Elsevier, vol. 32(1), pages 54-62, January.
    8. Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
    9. Sterner, Thomas, 2007. "Fuel taxes: An important instrument for climate policy," Energy Policy, Elsevier, vol. 35(6), pages 3194-3202, June.
    10. Daniel J. Graham & Stephen Glaister, 2002. "The Demand for Automobile Fuel: A Survey of Elasticities," Journal of Transport Economics and Policy, University of Bath, vol. 36(1), pages 1-25, January.
    11. Dahl, Carol A., 2012. "Measuring global gasoline and diesel price and income elasticities," Energy Policy, Elsevier, vol. 41(C), pages 2-13.
    12. 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.
    13. Kayser, Hilke A., 2000. "Gasoline demand and car choice: estimating gasoline demand using household information," Energy Economics, Elsevier, vol. 22(3), pages 331-348, June.
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