Journal of Energy Engineering (에너지공학)

The Korean Society for Energy (한국에너지학회)
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Estimation of city gas demand function using time series data

시계열 자료를 이용한 도시가스의 수요함수 추정

  • Lee, Seung-Jae (Department of Energy Policy, Graduate School of Energy & Environment, Seoul National University of Science & Technology) ;
  • Euh, Seung-Seob (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)
  • 이승재 (서울과학기술대학교 에너지환경대학원 에너지정책학과) ;
  • 어승섭 (서울과학기술대학교 에너지환경대학원 에너지정책학과) ;
  • 유승훈 (서울과학기술대학교 에너지환경대학원 에너지정책학과)
  • Received : 2013.10.29
  • Accepted : 2013.12.10
  • Published : 2013.12.31
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Abstract

This paper attempts to estimate the city gas demand function in Korea over the period 1981-2012. As the city gas demand function provides us information on the pattern of consumer's city gas consumption, it can be usefully utilized in predicting the impact of policy variables such as city gas price and forecasting the demand for city gas. We apply lagged dependent variable model and ordinary least square method as a robust approach to estimating the parameters of the city gas demand function. The results show that short-run price and income elasticities of the city gas demand are estimated to be -0.522 and 0.874, respectively. They are statistically significant at the 1% level. The short-run price and income elasticities portray that demand for city gas is price- and income-inelastic. This implies that the city gas is indispensable goods to human-being's life, thus the city gas demand would not be promptly adjusted to responding to price and/or income change. However, long-run price and income elasticities reveal that the demand for city gas is price- and income-elastic in the long-run.

본 연구에서는 1981년부터 2012년까지의 시계열 자료를 이용하여 도시가스의 수요함수를 추정하고자 한다. 도시가스의 수요함수는 수용가의 도시가스 수요행태에 대한 정보를 제공하여 가격과 같은 주요 정책변수의 효과를 사전적으로 진단하는 데, 그리고 수요예측을 하는 데 유용하게 활용된다. 시계열 데이터를 효과적으로 활용하기 위하여 내생시차변수 모형을 활용하였고, 수요함수의 모수에 대한 강건한 추정치를 얻기 위해 최소자승법 추정법을 사용하였다. 단기 가격탄력성 및 소득탄력성은 각각 -0.522 및 0.874로 추정되었으며 유의수준 1%에서 통계적으로 유의하였다. 단기 가격탄력성은 가격에 비탄력적인 도시가스수요의 특징을 보여주고 있으며, 단기 소득탄력성 역시 비탄력적으로 추정되어 소득 증감에 따라 도시가스의 수요가 크게 변화지 않음을 알 수 있다. 반면, 장기 가격탄력성 및 소득탄력성은 각각 -2.155 및 3.607로 나타나 탄력적임을 알 수 있다.

Keywords

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