Short-Run and Long-Run Elasticities of Diesel Demand in Korea
This paper investigates the demand function for diesel in Korea covering the period 1986–2011. The short-run and long-run elasticities of diesel demand with respect to price and income are empirically examined using a co-integration and error-correction model. The short-run and long-run price elasticities are estimated to be −0.357 and −0.547, respectively. The short-run and long-run income elasticities are computed to be 1.589 and 1.478, respectively. Thus, diesel demand is relatively inelastic to price change and elastic to income change in both the short-run and long-run. Therefore, a demand-side management through raising the price of diesel will be ineffective and tightening the regulation of using diesel more efficiently appears to be more effective in Korea. The demand for diesel is expected to continuously increase as the economy grows.
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- De Vita, G. & Endresen, K. & Hunt, L.C., 2006.
"An empirical analysis of energy demand in Namibia,"
Elsevier, vol. 34(18), pages 3447-3463, December.
- Glauco De Vita & Klaus Endresen & Lester C Hunt, 2005. "An Empirical Analysis of Energy Demand in Namibia," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 110, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
- Bhaskara Rao, B. & Rao, Gyaneshwar, 2009. "Cointegration and the demand for gasoline," Energy Policy, Elsevier, vol. 37(10), pages 3978-3983, October.
- Rao, B. Bhaskara & Rao, Gyaneshwar, 2008. "Cointegration and the demand for gasoline," MPRA Paper 11396, University Library of Munich, Germany.
- B. Bhaskara Rao & Gyaneshwar Rao, 2008. "Cointegration and the Demand for Gasoline," EERI Research Paper Series EERI_RP_2008_13, Economics and Econometrics Research Institute (EERI), Brussels.
- Nagy Eltony, M., 1996. "Demand for gasoline in the GCC: an application of pooling and testing procedures," Energy Economics, Elsevier, vol. 18(3), pages 203-209, July.
- 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.
- 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.
- Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
- Liddle, Brantley, 2012. "The Systemic, Long-run Relation among Gasoline Demand, Gasoline Price, Income, and Vehicle Ownership in OECD Countries: Evidence from Panel Cointegration and Causality Modeling," MPRA Paper 52081, University Library of Munich, Germany.
- Sene, Seydina Ousmane, 2012. "Estimating the demand for gasoline in developing countries: Senegal," Energy Economics, Elsevier, vol. 34(1), pages 189-194.
- Liddle, Brantley, 2009. "Long-Run Relationship among Transport Demand, Income, and Gasoline Price for the US," MPRA Paper 52080, University Library of Munich, Germany.
- 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.
- Stock, James H. & Watson, Mark W., 1989. "Interpreting the evidence on money-income causality," Journal of Econometrics, Elsevier, vol. 40(1), pages 161-181, January.
- 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.
- Park, Sung Y. & Zhao, Guochang, 2010. "An estimation of U.S. gasoline demand: A smooth time-varying cointegration approach," Energy Economics, Elsevier, vol. 32(1), pages 110-120, January.
- 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.
- Pantula, Sastry G & Gonzalez-Farias, Graciela & Fuller, Wayne A, 1994. "A Comparison of Unit-Root Test Criteria," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 449-459, October.
- 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. Full references (including those not matched with items on IDEAS)
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