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Demand for Ground Transportation Fuel and Pricing Policy in Asian Tigers: A Comparative Study of Korea and Taiwan

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  • Sara Banaszak
  • Ujjayant Chakravorty
  • PingSun Leung

Abstract

This paper examines the demand for gasoline and diesel in the ground transportation sectors of South Korea and Taiwan, comparing the effects of their different pricing policies and stages of economic growth. To account for substitutability between the two fuels, the model proposed here uses a system of equations estimated simultaneously with time-series data from 1973-1992. Results yield demand elasticities that confirm previous research showing that oil product demand is generally price inelastic, while income elasticities (reflecting a longer period of economic growth than previous studies in the Asian region) are lower than those previously reported. The estimated demand functions are then used to generate forecasts for both countries and, in particular, for an assumed reduction in a 180% tax on gasoline in Korea. Forecasted increases in demand by the year 2010 range from 40 to 180%, while the tax analysis suggests that Korea's pricing policy has reduced total demand and promoted the use of diesel over gasoline.

Suggested Citation

  • Sara Banaszak & Ujjayant Chakravorty & PingSun Leung, 1999. "Demand for Ground Transportation Fuel and Pricing Policy in Asian Tigers: A Comparative Study of Korea and Taiwan," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 145-165.
    • Handle: RePEc:aen:journl:1999v20-02-a06
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    Citations

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    Cited by:

    1. Martijn Brons & Peter Nijkamp & Eric Pels & Piet Rietveld, 2006. "A Meta-analysis of the Price Elasticity of Gasoline Demand. A System of Equations Approach," Tinbergen Institute Discussion Papers 06-106/3, Tinbergen Institute.
    2. Chandrasiri, Sunil, 2006. "Demand for road-fuel in a small developing economy: The case of Sri Lanka," Energy Policy, Elsevier, vol. 34(14), pages 1833-1840, September.
    3. Sa'ad, Suleiman, 2010. "Improved technical efficiency and exogenous factors in transportation demand for energy: An application of structural time series analysis to South Korean data," Energy, Elsevier, vol. 35(7), pages 2745-2751.
    4. 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.
    5. A H L Lau & H-S Lau, 2005. "A critical comparison of the various plausible inter-echelon gaming processes in supply chain models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(11), pages 1273-1286, November.
    6. Currie, Graham & Rose, John, 2008. "Growing patronage - Challenges and what has been found to work," Research in Transportation Economics, Elsevier, vol. 22(1), pages 5-11, January.
    7. Sene, Seydina Ousmane, 2012. "Estimating the demand for gasoline in developing countries: Senegal," Energy Economics, Elsevier, vol. 34(1), pages 189-194.
    8. Chi, Junwook, 2016. "Long- and short-run asymmetric responses of motor-vehicle travel to fuel price variations: New evidence from a nonlinear ARDL approach," Transport Policy, Elsevier, vol. 50(C), pages 126-134.
    9. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
    10. Lau, Amy Hing Ling & Lau, Hon-Shiang, 2003. "Effects of a demand-curve's shape on the optimal solutions of a multi-echelon inventory/pricing model," European Journal of Operational Research, Elsevier, vol. 147(3), pages 530-548, June.
    11. Li, Zheng & Rose, John M. & Hensher, David A., 2010. "Forecasting automobile petrol demand in Australia: An evaluation of empirical models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(1), pages 16-38, January.
    12. Lau, Amy Hing Ling & Lau, Hon-Shiang, 2005. "Some two-echelon supply-chain games: Improving from deterministic-symmetric-information to stochastic-asymmetric-information models," European Journal of Operational Research, Elsevier, vol. 161(1), pages 203-223, February.
    13. Mohcine Bakhat & José M. Labeaga & Xavier Labandeira & Xiral Lñpez, 2013. "Economic Crisis and Elasticities of Car Fuels: Evidence for Spain," Working Papers fa15-2013, Economics for Energy.

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    JEL classification:

    • F0 - International Economics - - General

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