DOI QR코드

DOI QR Code

A Study on Nonlinear Dynamic Adjustment of Gasoline Prices in Korea

우리나라 휘발유 가격의 비선형 동적 조정에 관한 연구

  • Park, Haesun (School of Business administration and Economics, Konkuk University) ;
  • Lee, Sangjik (Department of Economics, Hankuk University of Foreign Studies)
  • 박해선 (건국대학교 국제비지니스대학 경영경제학부) ;
  • 이상직 (한국외국어대학교 경상대학 경제학과)
  • Received : 2013.05.22
  • Accepted : 2013.06.17
  • Published : 2013.06.30

Abstract

We employ a threshold vector error correction models (TVECM) to investigate the nonlinear dynamic adjustment of gasoline prices in Korea. We consider 10 regional gasoline markets including Seoul, Busan, Daegu, Incheon, Kwangju, Daejeon, Ulsan, Kangwon, Chungbuk, Jeonbuk and construct 9 price differences against Seoul. We use the bootstrap procedure suggested by Hansen (1999) and generalized by Lo and Zivot (2001) to show that three-regime TVECM is suitable for our analysis. Results indicate the gasoline price adjustment processes are nonlinear. Our estimation shows that Seoul-Daejeon, Seoul-Daegu and Seoul-Ulsan have bigger transaction costs than other market pairs and thus gasoline prices of these three regional markets are lower than that of Seoul. Gasoline prices of the other 6 regional markets are close to Seoul's price. One interesting finding is that the transaction costs are not proportional to geographical distances. This implies that transportation costs are not the main factor of the transaction costs. The transaction costs may depends on the competition intensity of gasoline markets in supply side.

본 논문에서는 우리나라 휘발유 가격의 비선형 동적 조정 과정을 분석하였다. 이를 위하여 Threshold Vector Error Correction Model(TVECM)을 사용하였다. 구체적으로는 Hansen (1999)과 Lo and Zivot(2001)이 제안한 부트스트랩(bootstrap)기법을 적용하여 three-regime TVECM의 타당성을 확인한 후 사용하였다. 분석대상은 서울과 각 지역의 휘발유 가격 차이인데 서울-부산, 서울-대구, 서울-인천, 서울-광주, 서울-대전, 서울-울산, 서울-강원, 서울-충북, 서울-전북 등 총 9개 휘발유 가격차이 묶음을 다루었다. 추정결과 우리나라 휘발유 가격 조정과정은 비선형적인 것으로 나타났다. 또한 서울-대전, 서울-대구, 서울-울산의 거래비용이 큰 것으로 추정되었다. 거래비용은 지리적 거리에 반드시 비례하지 않는 것으로 나타났으며, 이는 수송비용이 거래비용의 주요한 요인이 아님을 의미한다. 거래비용은 공급측면의 경쟁정도에 의존할 것으로 추정된다.

Keywords

References

  1. Ardeni, P. G., "Does the law of one price really hold for commodity prices?," American Journal of Agricultural Economics, Vol. 71, 1989, pp. 661-669. https://doi.org/10.2307/1242021
  2. Balke, N. S. and Fomby, T. B., "Threshold cointegration," International Economic Review, Vol. 38, 1997, pp. 627-645. https://doi.org/10.2307/2527284
  3. Enders, W. and Chumrusphonlert, K., "Threshold cointegration and purchasing power parity in the Pacific Nations," Applied Economics, Vol. 36, 2004, pp. 889-896. https://doi.org/10.1080/0003684042000233104
  4. Goodwin, B. K. and Piggott, N. E., "Spatial market integration in the presence of threshold effects," American Journal of Agricultural Economics, Vol. 83, 2001, pp. 302-317. https://doi.org/10.1111/0002-9092.00157
  5. Hansen, H., "Testing for linearity," Journal of Economic Surveys, Vol. 13, 1999, pp. 551-576. https://doi.org/10.1111/1467-6419.00098
  6. Hansen, H. and Seo, B., "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Vol. 110, 2002, pp. 293-318. https://doi.org/10.1016/S0304-4076(02)00097-0
  7. Lo, M. C. and Zivot, E., "Threshold cointegration and nonlinear adjustment to the law of one price," Macroeconomic Dynamics, Vol.5, 2001, pp. 533-576.
  8. Park, H., Mjelde, J. W. and Bessler, D. A., "Time-varying threshold cointergration and the law of one price," Applied Economics, Vol. 39, 2007, pp. 1091-1105. https://doi.org/10.1080/00036840500486540
  9. Park, H. and Lee, S., "A Study on Price Discovery and Dynamic Interdependences among Gasoline Markets in Korea," Korea Industrial Economics Association, Vol.25, No.1, 2012, pp. 619-638.
  10. O'Connell, P. G. J. and Wei, S., "The bigger they are, the harder they fall: how price differences across US cities are arbitraged," NBER Working Paper 6089, 1997, Cambridge, Massachusetts.
  11. Seo, O. S., "An Empirical Analysis on the Distribution of Gasoline Prices by Region in Korea," Review of Industry and Management, Vol. 20 No.2, 2008, pp. 25-46.
  12. Sephton, P. S., "Spatial market arbitrage and threshold cointegration," American Journal of Agricultural Economics, Vol. 85, 2003, pp. 1041-1046. https://doi.org/10.1111/1467-8276.00506
  13. Tsay, R. S., "Testing and modelling multivariate threshold models," Journal of the American Statistical Association, Vol. 93, 1998, pp. 1188-1198. https://doi.org/10.1080/01621459.1998.10473779
  14. Wang, Z and Bessler, D. A., "A Monte Carlo study on the selection of cointegrating rank using information criteria," Econometric theory, Vol. 21, 2005, pp. 593-620.