Journal of Energy Engineering (에너지공학)

The Korean Society for Energy (한국에너지학회)
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Estimation of the electricity demand function using a lagged dependent variable model

내생시차변수모형을 이용한 전력수요함수 추정

  • Ahn, So-Yeon (Department of Energy Policy, Graduate School of Energy & Environment, Seoul National University of Science & Technology) ;
  • Jin, Se-Jun (Department of Energy Policy, Graduate School of Energy & Environment, Seoul National University of Science & Technology) ;
  • Yoo, Seung-Hoon (Department of Energy Policy, Graduate School of Energy & Environment, Seoul National University of Science & Technology)
  • 안소연 (서울과학기술대학교 에너지환경대학원 에너지정책학과) ;
  • 진세준 (서울과학기술대학교 에너지환경대학원 에너지정책학과) ;
  • 유승훈 (서울과학기술대학교 에너지환경대학원 에너지정책학과)
  • Received : 2016.04.13
  • Accepted : 2016.06.16
  • Published : 2016.06.30
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Abstract

The demand for electricity has a considerable impact on various energy sectors since electricity is generated from various energy sources. This paper attempts to estimate the electricity demand function and obtain some quantitative information on price and income elasticities of the demand. To this end, we apply a lagged dependent variable model to derive long-run as well as short-run elasticities using the time-series data over the period 1991-2014. Our dependent variable is annual electricity demand. The independent variables include constant term, real price of electricity, and real gross domestic product. The results show that the short-run price and income elasticities of the electricity demand are estimated to be -0.142 and 0.866, respectively. They are statistically significant at the 5% level. That is, the electricity demand is in-elastic with respect to price and income changes in the short-run. The long-run price and income elasticities of the electricity demand are calculated to be -0.210 and 1.287, respectively, which are also statistically meaningful at the 5% level. The electricity demand is still in-elastic with regard to price change in the long-run. However, the electricity demand is elastic regarding income change in the long-run. Therefore, this indicates that the effect of demand-side management policy through price-control is restrictive in both the short- and long-run. The growth in electricity demand following income growth is expected to be more remarkable in the long-run than in the short-run.

2차 에너지인 전력은 다양한 연료를 발전원으로 하고 있기 때문에, 전력에 대한 수요는 에너지 각 부문에 적지 않은 영향을 미친다. 이에 본 논문에서는 전력수요함수를 추정하여 가격탄력성 및 소득탄력성에 대한 정량적 정보를 도출하고자 한다. 이를 위해 1991년부터 2014년까지의 연간 시계열 자료를 이용하되, 탄력성을 단기와 장기를 구분하여 추정할 수 있는 내생시차변수모형을 적용한다. 종속변수로는 연간 전력수요, 독립변수로는 상수항, 전력실질가격, 실질 국내총생산의 3가지를 이용한다. 분석결과 단기 가격탄력성 및 소득탄력성은 각각 -0.142 및 0.866으로 추정되었으며 유의수준 5%에서 통계적으로 유의하다. 즉 전력수요는 단기적인 관점에서 가격 변화에 대해 비탄력적임과 동시에 소득 변화에 대해서도 비탄력적이다. 장기 가격탄력성 및 소득탄력성을 추정한 결과를 살펴보면 각각 -0.210 및 1.287이며 이 값은 유의수준 5%에서 통계적으로 유의하다. 장기적인 관점에서 보더라도 전력수요는 가격 변화에 대해 여전히 비탄력적인 반면에, 소득 변화에 대해서는 전력수요가 탄력적으로 변한다. 따라서 가격정책 위주의 수요관리정책은 단기 및 장기 모두 효과가 제한적이며, 향후 예상되는 소득 증가에 기인하는 전력수요의 증가는 단기보다는 장기에 보다 두드러질 것으로 예상된다.

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References

  1. Agthe, D.E., Billings, R.B. Dynamic Models of Residential Water Demand. Water Resources Research, Vol.16, pp.476-480, 1980. https://doi.org/10.1029/WR016i003p00476
  2. Alberini, A., Filippini, M. Response of residential electricity demand to price: The effect of measurement error, Energy Economics, Vol.33, pp.889-895, 2011 https://doi.org/10.1016/j.eneco.2011.03.009
  3. Dilaver, Z., Hunt, L.C. Modelling and forecasting Turkish residential electricity demand. Energy Policy, Vol.39, pp.3117-3127, 2011 https://doi.org/10.1016/j.enpol.2011.02.059
  4. Kim, H.M., Kim, I.G., Park, K.J., Yoo, S.H. The effect of temperature on the electricity demand: An empirical investigation. Journal of Energy Engineering, Vol.24, No.2, pp.167-173, 2015. https://doi.org/10.5855/ENERGY.2015.24.2.167
  5. Korea Energy Economics Institute, Price elasticity of demand and the tariff adjustment plan. 1996.
  6. Korea Energy Economics Institute, The direction of effective power demand management policy in domestic industrial sector. 2013.
  7. Korea Energy Statistics Information System, www.kesis.net
  8. Kwon, O.S., Kang, H.J., Kim, Y.G. Electricity demand and the impact of pricing reform: an analysis with household expenditure data. Environmental and Resource Economics Review, Vol.23, No.3, pp.409-434, 2014 https://doi.org/10.15266/KEREA.2014.23.3.409
  9. Lee, J.S., Heo, E.N. A Study on the long-run and Short-run elasticity of electricity demand in Korea. Journal of The Korean Society of Mineral and Energy Resources Engineers, Vol.35, No.2, pp.149-156, 1988.
  10. Lee, M.H. An analysis on the effects of higher power rates on supply price and power savings for Korean manufacturing sector. Environmental and Resource Economics Review, Vol.23, No.1, pp.43-65, 2014. https://doi.org/10.15266/KEREA.2014.23.1.043
  11. Lim, K.M., Lim, S,Y., Yoo, S.H. Short-run and long-run elasticities of electricity demand in the Korean service sector. Energy Policy, Vol.67, pp.517-521, 2014. https://doi.org/10.1016/j.enpol.2013.12.017
  12. Lim, S.Y., Lim, K.M., Yoo, S.H. Estimation of residential electricity demand function using cross-section. Journal of Energy Engineering, Vol.22, No.1, pp.1-7, 2013. https://doi.org/10.5855/ENERGY.2013.22.1.001
  13. Lim, S.Y., Kim, H.Y., Yoo, S.H. households' willingness to pay for the residential electricity use. Journal of Energy Engineering, Vol.22, No.2, pp.141-147, 2013. https://doi.org/10.5855/ENERGY.2013.22.2.141
  14. Ministry of Trade, Industry and Energy, Korea. The 7th basic plan for long-term electricity supply and demand. 2015.
  15. Na, I,G., Seo, J.H. Elasticities in electricity demand for industrial setor. Environmental and Resource Economics Review, Vol.9, No.2, pp.333-347, 2000.
  16. Narayan, p., Smyth, R. The residential demand for electricity in Australia: an application of the bounds testing approach to cointegration. Energy Policy, Vol.33, pp.467-474, 2005. https://doi.org/10.1016/j.enpol.2003.08.011
  17. Yoo, S.H., Lee, J.S., Kwak, S.J. Estimation of residential electricity demand function in Seoul by correction for sample selection bias. Energy Policy, Vol.35, pp.5702-5707, 2007. https://doi.org/10.1016/j.enpol.2007.06.009