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Analysis of the Gas Price Determination Factors at Gas Stations Using GIS Analysis - Centered on the Location Factors of the Gas Station and Government Offices -

GIS 분석을 통한 주유소 휘발유 가격 결정 요인 분석 - 협약주유소 입지와 관공서 입지 요인을 중심으로 -

  • 고규희 (홍익대학교 도시계획학과) ;
  • 이제승 (서울대학교 환경조경학과) ;
  • 이세영 (중앙대학교 건축학부)
  • Received : 2021.06.26
  • Accepted : 2021.06.29
  • Published : 2021.06.30

Abstract

The 'public agency oil joint purchase system' was introduced to lower public sector oil prices and contribute to the stability of the overall consumer oil market. The present study used spatial regression to analyze the factors affecting domestic gasoline price, focusing on the impact of potential implicit collusion among gas stations in determining domestic gasoline prices. Also, this study investigated the effect the location characteristics of the market convention gas stations and government offices on the pressure of price competition in the market and the gasoline price at general gas stations. To summarize the results of the spatial lag model (SLM), the individual characteristics of gas stations such as convenience stores (+), self-fuelling (-), commercial areas (+), subway stations (+), population density (-), and sales (-) are correlated to gasoline prices at gas stations, and the institutional location factors of gas stations (+) affected the average of 9 won per liter, 11 won per liter. In order to solve these problems, the establishment of a monitoring system reflecting the location characteristics of the region and the ongoing review of the system should be carried out. In addition, separate, expanded and promotional measures should be prepared for the convenience of general and public oil buyers.

Keywords

Acknowledgement

이 논문은 2019년 대한민국 교육부와 한국연구재단의 인문사회분야 중견연구자지원사업의 지원을 받아 수행된 연구임 (NRF-2019S1A5A2A01047678). 또한, 2000년도 중앙대학교 연구년 결과물로 제출됨.

References

  1. Ahn, D. Y. (2016). Influence Analysis of gasoline price decision factors, Master's Thesis, Konkuk University.
  2. Anselin, L. (2003). Spatial Externalities. Spatial Mulitpliers and Spatial Econometrics, International Regional Science Review, 26(2), pp. 153-166. https://doi.org/10.1177/0160017602250972
  3. Anselin, L., Florax, R., Rey, S. (Eds.) (2004). Advances in Spatial Econometrics: Methodology, Tools and Applications, Berlin: Springer-Verlag.
  4. Bailey, T. C., Gatrell, A. C. (1995). Interactive Spatial Data Analysis, Essex, England: Longman Limited.
  5. Borenstein, S., Shepard, A. (1996). Dynamic Pricing in Retail Gasoline Markets. The RAND Journal of Economics. 27(3), pp. 429-451. https://doi.org/10.2307/2555838
  6. Box, G. E. P., Cox, D. R. (1964). An Analysis of Transformations, Journal of the Royal Statistical Society Series B. 26(2), pp. 211-252.
  7. Chung, Y., Cho, Y., Park, H. (2016). Analysis on the Effects of Information Disclosure of Retail Gasoline Prices, The Korean Journal of Industrial Organization, 24(4), pp. 83-108.
  8. Cho, Y. J., Lee, J. H., Yoon, C. H. (2015). The Pricing Behavior of Korean Gas Stations, Journal of Korea Safety Management & Science, 17(3), pp. 331-341. https://doi.org/10.12812/ksms.2015.17.3.331
  9. Griffith, D. A., Layne, L. J. (1999). A Casebook for Spatial Statistical Data Analysis: A Compilation of Analyses of Different Thematic Data Sets, Oxford, England: Oxford University Press.
  10. Halvorsen, R., Pollakowski, H. O. (1981). Choice of Fundamental Form for Hedonic Price Function, Journal of Urban Economics. 10(1), pp. 37-49. https://doi.org/10.1016/0094-1190(81)90021-8
  11. Hong, W. H. (2017). The Effects of the "Thrifty Station" Policy on the Market Competition in the Korean Retail Gasoline Market, The Korean Economic Review, 65(2), pp. 65-98.
  12. Kang, J. S. (2010). Analysis of Governmental Responses on Gasoline Price Asymmetry in the U.S., Korea Energy Economics Institute.
  13. Kim, D. W., Kim, J. H. (2011). The Impact of the Entry of Self-Service Stations in the Korean Retail Gasoline Market: Evidence from the Difference-in-Differences Methods, The Korean Economic Review, 59(2), pp. 77-99.
  14. Kim, H. G. (2018). Price Competition in Korean Retail Gasoline Market: Focusing on Spatial Effects, Journal of Distribution Science, 16(4), pp. 1-6.
  15. Kim, M. (2004). An application of GIS technique to analyze the sales area and the location of gas stations in Taejeon city, The journal of geographic information system association of Korea, 12(2), pp. 211-228.
  16. KTV. (2011). Public institution vehicle, cheap gas station designation transaction. https://www.ktv.go.kr/content/view?content_id=396549
  17. Lee, D. S., Shin, J. S. (2006). A Study on the Pricing in Retail Gasoline Market, Korean Energy Economic Review, 5(1), pp. 1-25.
  18. Lee. J., Wong, D. W. S. (2001). Statistical Analysis with ArcView GIS, New York, NY: John Wiley & Sons. Inc.
  19. Public Procurement Service Blog. (2018). Expensive gas station OUT! New fuel joint purchase system. https://m.blog.naver.com/PostView.naver?isHttpsRedirect=true&blogId=ppspr&logNo=221347026675
  20. Shon, Y. H., Na, I. K. (2002). The Determination of Gasoline Pricing and the Policy Effect of Dereguration, Environmental and Resource Economics Review, 11(3), pp. 493-513.
  21. Taylor, J. M. G. (1986). The Retransformed Mean After a Fitted Power Transformation, Journal of the American Statistical Association, 81(393), pp. 114-118. https://doi.org/10.1080/01621459.1986.10478246
  22. Yim, S. S. (2012). A Study on the Negative Impact of Oil Tax Cut, The conference of the Korean Association for Policy Studies, 20, pp. 237-256.
  23. Yoon, H. H., Lee, E. Y. (2008). The Analysis of Gasoline Price Determination in Seoul, The Korean Journal of Industrial Organization, 16(2), pp. 75-94.