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Gasoline consumption in China: a dynamic panel data analysis

Author

Listed:
  • Raymond Li

    (Hong Kong Polytechnic University)

  • Guy C.K. Leung

    (The University of Manchester)

Abstract

In this article, the relationship between gasoline consumption, real GDP, real gasoline price and road infrastructure in China is re-estimated in order to update and extend the estimates documented in the literature. Panel data for 17 Chinese provinces from 2003 to 2009 are analyzed under a recently proposed dynamic general method of moments (GMM) estimation technique. The long-run income and price elasticities are estimated to be 1.10 and -0.17, respectively.

Suggested Citation

  • Raymond Li & Guy C.K. Leung, 2012. "Gasoline consumption in China: a dynamic panel data analysis," Economics Bulletin, AccessEcon, vol. 32(3), pages 2375-2382.
    • Handle: RePEc:ebl:ecbull:eb-12-00145
    as

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    References listed on IDEAS

    as
    1. 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.
    2. Bentzen, Jan, 1994. "An empirical analysis of gasoline demand in Denmark using cointegration techniques," Energy Economics, Elsevier, vol. 16(2), pages 139-143, April.
    3. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    4. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    5. Leung, Guy C.K., 2010. "China's oil use, 1990-2008," Energy Policy, Elsevier, vol. 38(2), pages 932-944, February.
    6. Han, Chirok & Phillips, Peter C. B., 2010. "Gmm Estimation For Dynamic Panels With Fixed Effects And Strong Instruments At Unity," Econometric Theory, Cambridge University Press, vol. 26(1), pages 119-151, February.
    7. 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.
    8. Lennart Flood & Nizamul Islam & Thomas Sterner, 2010. "Are demand elasticities affected by politically determined tax levels? Simultaneous estimates of gasoline demand and price," Applied Economics Letters, Taylor & Francis Journals, vol. 17(4), pages 325-328.
    9. Kenneth B. Medlock III & Ronald Soligo, 2001. "Economic Development and End-Use Energy Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 77-105.
    10. 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.
    11. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    12. 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.
    13. 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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    More about this item

    Keywords

    Chinese gasoline consumption; dynamic panel data; price and income elasticites;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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