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The elasticity of demand for gasoline in China

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  • Lin, C.-Y. Cynthia
  • Zeng, Jieyin (Jean)

Abstract

This paper estimates the price and income elasticities of demand for gasoline in China. Our estimates of the intermediate-run price elasticity of gasoline demand range between −0.497 and −0.196, and our estimates of the intermediate-run income elasticity of gasoline demand range between 1.01 and 1.05. We also extend previous studies to estimate the vehicle miles traveled (VMT) elasticity and obtain a range from −0.882 to −0.579.

Suggested Citation

  • Lin, C.-Y. Cynthia & Zeng, Jieyin (Jean), 2013. "The elasticity of demand for gasoline in China," Energy Policy, Elsevier, vol. 59(C), pages 189-197.
    • Handle: RePEc:eee:enepol:v:59:y:2013:i:c:p:189-197
    DOI: 10.1016/j.enpol.2013.03.020
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    1. repec:aen:journl:2008v29-01-a06 is not listed on IDEAS
    2. Ian W. H. Parry & Kenneth A. Small, 2005. "Does Britain or the United States Have the Right Gasoline Tax?," American Economic Review, American Economic Association, vol. 95(4), pages 1276-1289, September.
    3. Lin, C.-Y. Cynthia & Prince, Lea, 2009. "The optimal gas tax for California," Energy Policy, Elsevier, vol. 37(12), pages 5173-5183, December.
    4. 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.
    5. Aaron S. Edlin & Pinar Karaca-Mandic, 2007. "Erratum: "The Accident Externality from Driving"," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 704-705, August.
    6. 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.
    7. Bentzen, Jan, 1994. "An empirical analysis of gasoline demand in Denmark using cointegration techniques," Energy Economics, Elsevier, vol. 16(2), pages 139-143, April.
    8. Dahl, Carol A, 1979. "Consumer Adjustment to a Gasoline Tax," The Review of Economics and Statistics, MIT Press, vol. 61(3), pages 427-432, August.
    9. He, Kebin & Huo, Hong & Zhang, Qiang & He, Dongquan & An, Feng & Wang, Michael & Walsh, Michael P., 2005. "Oil consumption and CO2 emissions in China's road transport: current status, future trends, and policy implications," Energy Policy, Elsevier, vol. 33(12), pages 1499-1507, August.
    10. Blum, U.C.H. & Foos, G. & Gaudry, M.J.I., 1986. "Aggregate Time Series Gasoline Demand Models. Review of the Literature and New Evidence for West Germany," Cahiers de recherche 8617, Universite de Montreal, Departement de sciences economiques.
    11. repec:aen:journl:1994v15-01-a09 is not listed on IDEAS
    12. Wang, Yunshi & Teter, Jacob & Sperling, Daniel, 2011. "China's soaring vehicle population: Even greater than forecasted?," Energy Policy, Elsevier, vol. 39(6), pages 3296-3306, June.
    13. Ramsey, J B & Rasche, R & Allen, Bruce T, 1975. "An Analysis of the Private and Commercial Demand for Gasoline," The Review of Economics and Statistics, MIT Press, vol. 57(4), pages 502-507, November.
    14. 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.
    15. 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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