• Environmental and Resource Economics Review
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• v.11 no.4
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• pp.707-722
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• 2002

본 연구는 헤도닉가격기법과 비교정태분석을 사용하여 휘발유가격에 대한 자동차의 연료효율성과 속성의 수요탄력성을 추정한 것이다. 탄력성을 추정하는 데에는 휘발유가격에 대한 장기간의 시계열자료 대신 분석의 기준년도인 2001년의 평균휘발유가격이 사용되었으며, 그리고 2001년에 한국에서 새로 출시된 110개 자동차 모델에 대한 자료가 이용되었다. 분석의 대상이 되는 자동차의 속성으로는 디자인, 실내공간의 넓이, 엔진 배기량, 장착가능한 편의장치, 그리고 연비 등을 포함시켰다. 휘발유가격에 대한 연료효율성의 장기적인 수요탄력성은 0.366으로 추정되었다. 그 외 속성들의 수요탄력성도 비탄력적인 것으로 도출되었다. 따라서, 휘발유가격은 자동차의 속성들과 연료효율성의 소비에 큰 영향을 미치지 않는 것으로 해석할 수 있다.

• Environmental and Resource Economics Review
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• v.21 no.3
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• pp.493-517
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• 2012

This paper analyzes a price discovery process for gasoline among branded and independent stations in Korea using a vector error correction model (VECM) and directed acyclic graphs (DAG). Two data sets for daily prices of medium level gasoline running from April 15, 2008 to May 31, 2009 and from January 1, 2011 to December 31, 2011 are used for empirical analysis. Empirical results show that S-OIL has an exogeneity and played a important role in the flow of price information in the market in the first period. In the second period, SK energy played a key role in price discovery process in the market. The price of NH-OIL stations do not cause the price of any other stations, which implies that the entrance of new branded stations with lower gasoline price to market has no influence on gasoline prices of retail markets.

• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.445-453
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• 2015

We empirically investigated how differentials in gasoline prices influenced consumers' shopping behaviors at the gas pump. Among dimensions of many gas shopping behaviors, we focused on consumer decisions of purchase quantity and locations and found that price differentials across regions had statistically significant and negative effects on two consumers' decisions. Our findings provide important implications for the future research on gasoline demand and make a substantial contribution to empirical knowledge about how consumers make purchases in the gasoline retail industry.

• Environmental and Resource Economics Review
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• v.22 no.4
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• pp.643-670
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• 2013

This study analyzed the impact of crude oil inventory while gasoline price adjusts to international crude oil price(WTI) fluctuations. We mainly focused on asymmetric relationship between crude oil and petroleum product prices and added oil inventory as an variable, using the error correction model which is based on Borenstein et al.(1997). This paper selected the sample period from January 1988 to December 2012, analyzed the asymmetry of each intervals and the influence of crude oil inventory to the degree of asymmetry changes, both full period and five years period respectively. The results showed that when considering crude oil inventory, existence and degrees of time amount asymmetry varies.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.159-164
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• 2024

The domestic petroleum market is highly sensitive to changes in international oil prices. So, it is important to identify and respond to those changes. In particular, it is necessary to clearly understand the factors causing the price fluctuations of gasoline, which exhibits high consumption. International gasoline prices are influenced by global factors such as gasoline supplies, geopolitical events, and fluctuations in the U.S. dollar. However, previous studies have only focused on gasoline supplies. In this study, we explore the causal relationship between economic indicators and international gasoline prices using various machine learning-based regression models. First, we collect data on various global economic indicators. Second, we perform data preprocessing. Third, we model using Multiple linear regression, Ridge regression, and Lasso(Least Absolute Shrinkage and Selection Operator) regression. The multiple linear regression model showed the highest accuracy at 96.73% in test sets. As a result, Our Multiple linear regression model showed the highest accuracy at 96.73% in test sets. We will expect that our proposed model will be helpful for domestic economic stability and energy policy decisions.

• Journal of Korean Society of Transportation
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• v.32 no.1
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• pp.13-26
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• 2014

Depending most of its energy sources on foreign countries, Korea efforts to reduce energy consumption in transportation. While studies on the relationship between gas price and transportation demand are many in number, most previous studies have focused on automobile and Seoul. This study analyzes the impact of gas price on transit (bus and subway) demand using monthly data and for various metropolitan areas (Seoul, Busan, Daejeon, Daegu and Gwangju). The research utilizes a time-series model and a multiple regression model, and calculates modal demand elasticities of gas price. The result shows that elasticities of subway demand with respect to gas price is higher than those of bus demand. In addition, elasticities of predominantly automobile cities are more likely to be more sensitive to gas price than those of cities with well-structured transit system.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2001.11a
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• pp.199-200
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• 2001

최근 연료 가격의 상승으로 자동차용 연료에 벤젠, 톨루엔 등을 혼합한 가짜휘발유가 많이 유통되고 있다. 가짜휘발유는 벤젠, 톨루엔 등의 방향족물질을 혼합하거나 경유, 등유 등을 혼합하여 사용한다. 방향족 화합물이 많이 함유된 휘발유를 장기간 사용할 경우 차량의 고무부품을 팽윤시켜 연료의 누출 등에 따른 화재 발생의 가능성이 높으며, 톨루엔은 열함량이 작기 때문에 연소효율 저하로 연비를 악화시킨다. 또한 자동차 연료의 조성은 배출가스에도 많은 영향을 주는 것으로 알려져 있다. 본 연구에서는 이러한 가짜휘발유 사용에 따른 배출가스 영향을 정확히 파악하기 위해 휘발유 중 방향족 함량이 다른 세종류의 연료를 사용하여 배출가스 및 연비에 대한 영향을 조사하였다. (중략)

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.509-515
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• 2023

Despite the continued development of alternative energies, fuel consumption is increasing. In particular, the price of gasoline fluctuates greatly according to fluctuations in international oil prices. Gas stations adjust their gasoline inventory to respond to gasoline price fluctuations. In this study, news datasets is used to analyze the gasoline consumption patterns through fluctuations of the gasoline inventory. First, collecting news datasets with web crawling. Second, summarizing news datasets using KoBART, which summarizes the Korean text datasets. Finally, preprocessing and deriving the fluctuations factors through N-Gram Language Model and TF-IDF. Through this study, it is possible to analyze and predict gasoline consumption patterns.

• Proceedings of KHEA Conference
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• 2001.04a
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• pp.135-135
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• 2001

• Proceedings of KHEA Conference
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• 2001.10a
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• pp.92-92
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• 2001