• Journal of Korean Society of Transportation
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• v.18 no.1
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• pp.27-34
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• 2000

This study analyzes the price elasticities of airline Passenger demand through the 'Stated Preference' technique which uses survey data. Because the domestic airfare has been regulated by the government. it is not easy to derive Price elasticity through the usual regression analysis with aggregate data and thus a special methodology is required for elasticity estimation. Therefore, in this study we estimated the Price elasticities of domestic air passenger demand and the modal share change rates to the alternative modes with logit model and sample enumeration method, by analyzing the survey data on air Passengers' demand behavior about the mode choice between air-rail. air-bus, and air-car. As the results, the estimated price elasticities are in the range of -0.6~-0.9, and rail is mainly chosen as an alternative mode. bus is chosen Partly, and car is barely used.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.379-381
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• 2000

In the new electric industry, many of generators and consumers exist in competitive market and electric price is determined by the response of suppliers and consumers. Power supply and consumption make change the electric price and social welfare depends on the elasticity that indicates sensitivity to changes of price related on the electric demand or supply. If elasticity is changed, social welfare that represents the sum of producers and customers surplus will be changed together. This paper investigates the change of the social welfare depending on the elasticity, and presents the propriety of competitive electric market.

• Journal of Korea Water Resources Association
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• v.40 no.11
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• pp.869-876
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• 2007

This paper estimates the output and price elasticities of disaggregated industrial water in order to afford some information for improving the efficiency of government water policy. This paper uses the marginal productivity method for estimating the output and price elasticities of industrial water. The estimated output elasticity shows that the value of industrial water is much higher than the average price of industrial water and the estimated price elasticity shows that the water pricing policy is effective for controlling the demand of industrial water.

• Korean Journal of Organic Agriculture
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• v.10 no.1
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• pp.19-34
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• 2002

This study is to analyze the demand for organic farming products . The demand for organic farming products is increasing rapidly but the study to analyze the demand system by the methods of econometrics is not tried at all because there is no any formal statistical data about the demand. Therefore, this study tries to estimate the raw statistical data to expect the demand trends of organic farming products in the future. To analyze the demand functions of organic farming products such as rice, bean, apple, grape, beef, and park, this study uses AIDS model by using several assumptions and estimates the price and income elasticities of the demands. The results demonstrate that the demands of organic farming products will be increased in the future and the prices of organic farming products will be the key factor in the demand, In 2004, the quantity demanded of the organic grape will account for 3% of total grape market. As a result, consumer's concerns about organic farming products will be high and the demand for organic farming products will be increased. Thus, the reasonable price system has a significant influence on the market of organic farming products.

• Journal of Labour Economics
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• v.31 no.3
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• pp.1-19
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• 2008

This is an empirical study in Korea on the effects of the minimum wage. Based on the survey data of security workers of 132 apartment in Seoul metro area, the study finds that the introduction of minimum wage in this sector in 2007 raised wage by 10.9%, reduced employment and work hours by 3.5-4.1% and 13.5% respectively. This implies a short run wage elasticity of employment of -0.312 but much higher elasticity of work hours of -1.68.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.8
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• pp.1181-1186
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• 2017

The purpose of Demand Response is to reduce the cost of excessive resources and equipment by spontaneous load reductions at peak loads. Having enough power consumers participating in these schemes is key to achieving the goal. Demand Response Aggregator (DRA) is responsible for recruiting demand resources and managing them to participate in reducing the load. DRAs change the price elasticity of demand functions by providing incentives to demand response, thereby affecting price formation in the electricity market. In this paper, this process is modeled to analyze the relationship between DRA's strategic bidding and market outcomes and load reductions. It analyzes the results by applying to competition between DRAs, competition between DR and Gencos, and coexistence of DR load and non-DR load. It is noteworthy that we have found a phenomenon called the Balloon Effect.

• Environmental and Resource Economics Review
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• v.17 no.3
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• pp.1-29
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• 2008

The goal of this study is to analyze the effects of the second energy tax reform of the transportation sector in Korea. For this purpose, we estimated the elasticities of energy demand(for gasoline, diesel and LPG) by using the ARDL(Auto-Regressive Distributed Lag) Model during the period of 1997 and 2005. We have the empirical results that the demand for diesel would decrease as much as of 382 million barrel per year and the demand for LPG would increase as much as of 20 million barrel per year since 2007. The second energy tax reform would also result in the decrease of 27,346 ton of air pollutants and 0.96 million ton of carbon dioxide per year. This shows that the second energy tax reform would have achieved its own policy goals by reducing energy demand and improving the quality of environment.

• Environmental and Resource Economics Review
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• v.14 no.2
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• pp.475-491
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• 2005

This study reviews various problems associated with the method of estimating the demand for industrial water that was employed in the Water Vision 2020 and it suggests an alternative econometric method. Comparing with the data cited in the Report on Industrial Census, estimates obtained by employing the concept of demand function are more exact compared to those offered by the Water Vision 2020. The amount of industrial water in 1998 was estimated at 2.8 billion tons decreasing by 2003. By employing the concept of demand function, this study shows that the amount of industrial water was 2.1 billion tons in 2003 while according to the Water Vision 2020 it amounted to 3.3 billion tons in 2001. Thus, it appears that the amount of industrial water in the Water Vision 2020 has been overestimated. This study also shows that the industrial water demand can be controlled by means of certain pricing policies. Finally, we argue that the demand for industrial water should be estimated by taking account of economic variables such as water price and output.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.49 no.6
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• pp.266-271
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• 2000

The electric power industries are moving from the conventional monopolistic or vertically integrated environments to deregulated and competitive environments, where each participant is concerned with profit maximization rather than system-wide costs minimization. Consequently, the conventional least-cost approaches for the generation resource schedule can not exactly handle real-world situations. This paper presents a game theory application for analyzing power transactions and market design in a deregulated energy marketplace, where the market participants determine the net profits through the optimal bidding strategies. The demand elasticity of the energy price is considered for the realistic modeling of the deregulated marketplace.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.29-37
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• 2017

This papers focuses on remanufacturing processes in a closed loop supply chain. The remanufacturing processes is considered as one of the effective strategies for enterprises' sustainability. For this reason, a lot of companies have attempted to apply remanufacturing related methods to their manufacturing processes. While many research studies focused on the return rate for remanufacturing parts as a control parameter, the relationship with demand certainties has been studied less comparatively. This paper considers a closed loop supply chain environment with remanufacturing processes, where highly fluctuating demands are embedded. While other research studies capture uncertainties using probability theories, highly fluctuating demands are modeled using a fuzzy logic based ambiguity based modeling framework. The previous studies on the remanufacturing have been limited in solving the actual supply chain management situation and issues by analyzing the various situations and variables constituting the supply chain model in a linear relationship. In order to overcome these limitations, this papers considers that the relationship between price and demand is nonlinear. In order to interpret the relationship between demand and price, a new price elasticity of demand is modeled using a fuzzy based nonlinear function and analyzed. This papers contributes to setup and to provide an effective price strategy reflecting highly demand uncertainties in the closed loop supply chain management with remanufacturing processes. Also, this papers present various procedures and analytical methods for constructing accurate parameter and membership functions that deal with extended uncertainty through fuzzy logic system based modeling rather than existing probability distribution based uncertainty modeling.