• 한국인구학
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• 제27권1호
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• pp.81-90
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• 2004

도시가구의 인구학적 특성을 감안하여 흡연가구의 미시자료를 활용한 이차형식 준이상 수요 체계를 추정해본 결과 담배수요의 가격탄력성은 -0.52 로 추정되었고 가구소득이 높을수록, 가구주 교육수준이 높을수록, 자녀수가 많을수록 담배수요는 가격에 대하여 비탄력적임이 확인되었다.

• 경영과학
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• 제20권1호
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• pp.89-102
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• 2003

With the progress of Internet and e-commerce, there have been many researches on the market efficiency of the Internet markets using real price data. Contrary to the common expectations by many economists, most of the previous researches have fatted to prove that the Internet market is more efficient than the conventional market. This paper empirically analyzes the pricing behavior of Internet and conventional retailers in South Korea. We have collected real price data on CDs and TVs from various types of retailers, from which we have analyzed three aspects of pricing behavior : price level, price change over time, and price dispersion across the retailers. We have found that the average prices of CDs and TVs at the Internet retailers are lower than those at the conventional retailers. We have also found that there is a close association between the behaviors (e.g., magnitude and timing of changes) of TV prices at the Internet retailers and those at the conventional retailers. It has been observed that the range of the CD prices at the internet retailers is less than a half of the range at the conventional retailers, which can be considered as an evidence of a relatively stronger price competition at the Internet market compared with the conventional market.

• Journal of Communications and Networks
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• 제18권3호
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• pp.484-492
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• 2016

Smart grid (SG) technology is now elevating the conventional power grid system to one that functions more cooperatively, responsively, and economically. When applied in an SG the demand side management (DSM) technique can improve its reliability by dynamically changing electricity consumption or rescheduling it. In this paper, we propose a new SG scheduling scheme that uses the DSM technique. To achieve effective SG management, we adopt a mixed pricing strategy based on the Rubinstein-Stahl bargaining game and a repeated game model. The proposed game-based pricing strategy provides energy routing for effective energy sharing and allows consumers to make informed decisions regarding their power consumption. Our approach can encourage consumers to schedule their power consumption profiles independently while minimizing their payment and the peak-to-average ratio (PAR). Through a simulation study, it is demonstrated that the proposed scheme can obtain a better performance than other existing schemes in terms of power consumption, price, average payment, etc.

• International Journal of Control, Automation, and Systems
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• 제6권5호
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• pp.639-650
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• 2008

Electricity price forecasting has become an integral part of power system operation and control. In this paper, a wavelet transform (WT) based neural network (NN) model to forecast price profile in a deregulated electricity market has been presented. The historical price data has been decomposed into wavelet domain constitutive sub series using WT and then combined with the other time domain variables to form the set of input variables for the proposed forecasting model. The behavior of the wavelet domain constitutive series has been studied based on statistical analysis. It has been observed that forecasting accuracy can be improved by the use of WT in a forecasting model. Multi-scale analysis from one to seven levels of decomposition has been performed and the empirical evidence suggests that accuracy improvement is highest at third level of decomposition. Forecasting performance of the proposed model has been compared with (i) a heuristic technique, (ii) a simulation model used by Ontario's Independent Electricity System Operator (IESO), (iii) a Multiple Linear Regression (MLR) model, (iv) NN model, (v) Auto Regressive Integrated Moving Average (ARIMA) model, (vi) Dynamic Regression (DR) model, and (vii) Transfer Function (TF) model. Forecasting results show that the performance of the proposed WT based NN model is satisfactory and it can be used by the participants to respond properly as it predicts price before closing of window for submission of initial bids.

• 한국환경복원기술학회지
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• 제6권1호
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• pp.1-14
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• 2003

In this study, to take the object of this thesis on understanding the characteristics on marketing structure and marketing distribution of landscape materials after consideration in the side of prices trends which is important factors for analysis in understanding the market of landscape materials. To do this, Analysis is divided into the prices trends. The investigation of prices trends and marketing distribution are to collect data refer to purchases and sales reports, these results are used to analyzed the operative factor of forming market structure. The periodic range of this thesis is limited from 1996 to 2000 and analytic articles is limited on 609 landscape materials(planting materials : 567 articles, facility materials : 7 articles, the other : 35 articles). The results of the whole prices trends and marketing distribution survey can be summarized as follows : 1. Prices trends of showing 3 types of landscape materials : In cases of planting, facility and the others materials, the annual average increasing rate of the index number of price was 3.1%, 3.4%, 3.1% while the KPRC(Korea Price Research Center) price was 3.98% for the past five years. 2. GSP(Government Specified Prices) Prices trends of showing 3 types of landscape materials : In cases of planting, facility and the others materials, the annual average increasing rate of the index number of price was 3.7%, 1.2%, 2.6% while the KPRC(Korea Price Research Center) price was 3.98% for the past five years. This increase indicates a small price margin, particularly, the GSP price of planting materials should be adjusted to a realistic level. 3. Native and exotic product Prices trends of showing 3. types of landscape materials : In cases of Native planting, facility and the others materials, the annual average increasing rate of the index number of price was 3.2%, 3.2%, 3.6% while cases of exotic was 3.1%, 1.0%, 5.8% for the past five years. The index number increase of prices of exotic landscape materials were fluctuated more than those the native landscape materials.

• Industrial Engineering and Management Systems
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• 제9권3호
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• pp.204-214
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• 2010

A manufacturing/remanufacturing system is investigated with the consideration of required minimum quality of end-of-used products. A constant demand is satisfied by remanufacturing end-of-used products and manufacturing raw materials outsourced from outside. It is assumed in this system that the buyback price and remanufacturing cost are related to the different quality level of end-of-used products. For remanufacturing, only the used products that satisfy a required minimum quality level will be recycled. Thus, the returning rate is a function of the required minimum quality level. Functions of returning rate, buyback price and remanufacturing cost, which are closely connected to the quality level of end-of-used products, are investigated here. Treating the required minimum quality level of end-of-used products, the length of a cycle, the number of manufacturing lots and remanufacturing lots in a cycle as decision variables, the mathematical models with the objective of minimizing the average total cost are constructed. Through construction of a solution process based on Tabu Search algorithm and calculating examples, the validity of the models is illustrated.

• 한국전자거래학회지
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• 제16권2호
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• pp.19-37
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• 2011

인터넷의 발달과 함께 온라인을 통한 상거래 활동은 급증해 왔다. 전자상거래 초기에 기존의 오프라인 업체들과 온라인 업체들 간의 가격수준 및 편차에 대한 연구들이 많이 이루어졌으나, 전자상거래가 활성화되고 성숙된 지금은 이러한 채널 유형별 비교보다는 전자상거래 업체들의 가격변화 행태에 대한 연구가 필요하다. 이에 따라 본 연구에서는 전자상거래 상에서 제품이 판매되기 시작한 시점부터 시간이 흐름에 따라 가격이 어떻게 변화하는지를 분석하였다. 가격비교 사이트로부터 가격자료를 수집하여 분석에 활용하였다. 이를 통해 시간이 흐를수록 최저가와 평균가격이 하락하는 것을 보였으며, 최고가는 시간이 흐를수록 오히려 상승하는 패턴을 보였다. 최고가의 상승에는 판매업체 수 증가가 양의 영향을, 출시 이후 기간이 음의 영향을 미치는 것을 보였으며 이 두 가지의 영향력에 따라 제품군별로 상이한 상승 패턴을 보였다. 또한, 제품군의 유형별로도 판매업체 수에 따라 상이한 가격변화 패턴을 보였다.

• 자원ㆍ환경경제연구
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• 제31권1호
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• pp.31-50
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• 2022

이 연구는 배출자부담원칙을 달성하는 적정 수준의 종량제 봉투 가격을 추정한다. 이 연구의 주요한 기여는 기존 연구와 달리 생활폐기물 배출 수요함수와 생활폐기물 처리비용함수 간의 구조적 관계를 이용하여 새로운 균형 가격을 찾았다는 점이다. 추정방법은 고정점 반복법을 이용한다. 주요 연구 결과는 다음과 같다. 배출자부담원칙이 달성되는 조건을 생활폐기물 처리에 대한 총수입과 총비용이 일치하는 점으로 정의하고, 단순하게 산술적으로 계산하면 종량제 봉투 가격은 현재보다 약 3.12배 높은 수준에서 정해져야 한다. 그러나 구조적 관계를 이용하여 추정한 결과는 종량제 봉투 가격이 현재보다 약 4배 높은 수준에서 정해질 필요가 있음을 보여준다. 이러한 결과는 고정비용의 존재로 인하여 폐기물당 처리비용이 이전보다 높아지기 때문이다. 추정된 적정 가격을 적용할 경우 전국적으로 생활폐기물 발생량은 약 10% 정도 감소하는 것으로 나타난다.

• 유통과학연구
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• 제13권5호
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• pp.71-82
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• 2015

Purpose - The purpose of this study is to investigate risk price implied from the pricing kernel of Korean stock distribution market. Recently, it is considered that the quantitative easing programs of major developed countries are contributing to a reduction in global uncertainty caused by the 2007~2009 financial crisis. If true, the risk premium as compensation for global systemic risk or economic uncertainty should show a decrease. We examine whether the risk price in the Korean stock distribution market has declined in recent years, and attempt to provide practical implications for investors to manage their portfolios more efficiently, as well as academic implications. Research design, data and methodology - To estimate the risk price, we adopt a non-parametric method; the minimum norm pricing kernel method under the LOP (Law of One Price) constraint. For the estimation, we use 17 industry sorted portfolios provided by the KRX (Korea Exchange). Additionally, the monthly returns of the 17 industry sorted portfolios, from July 2000 to June 2014, are utilized as data samples. We set 120 months (10 years) as the estimation window, and estimate the risk prices from July 2010 to June 2014 by month. Moreover, we analyze correlation between any of the two industry portfolios within the 17 industry portfolios to suggest further economic implications of the risk price we estimate. Results - According to our results, the risk price in the Korean stock distribution market shows a decline over the period of July 2010 to June 2014 with statistical significance. During the period of the declining risk price, the average correlation level between any of the two industry portfolios also shows a decrease, whereas the standard deviation of the average correlation shows an increase. The results imply that the amount of systematic risk in the Korea stock distribution market has decreased, whereas the amount of industry-specific risk has increased. It is one of the well known empirical results that correlation and uncertainty are positively correlated, therefore, the declining correlation may be the result of decreased global economic uncertainty. Meanwhile, less asset correlation enables investors to build portfolios with less systematic risk, therefore the investors require lower risk premiums for the efficient portfolio, resulting in the declining risk price. Conclusions - Our results may provide evidence of reduction in global systemic risk or economic uncertainty in the Korean stock distribution market. However, to defend the argument, further analysis should be done. For instance, the change of global uncertainty could be measured with funding costs in the global money market; subsequently, the relation between global uncertainty and the price of risk might be directly observable. In addition, as time goes by, observations of the risk price could be extended, enabling us to confirm the relation between the global uncertainty and the effect of quantitative easing. These topics are beyond our scope here, therefore we reserve them for future research.

• 한국경영과학회지
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• 제37권4호
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• pp.73-93
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• 2012

In recent years, service delivery systems employing a self-service approach have been rapidly spreading. Since a self-service system provides a lower product price, it attracts more customers. However, some system managers are still hesitant to accept a self-service system, because there is no systematic model to predict its performance. Therefore, this research attempts to provide a systematic and quantitative model to predict the performance of a self-service system, focused specifically on a self-service gas station. Under this model, the traditional queuing theory was adopted to describe the general self-service process, but it is also assumed that some changes occur in both the customer arrival rate and the service performance rate. In particular, the price elasticity was introduced to capture the change in the customer arrival rate, and the existence of learning effect and helpers were assumed to design the changed service performance rate. Under these assumptions, a simulation model for a self-service gas station is established, and three performance measurements, such as average number of customers, average waiting time, and Utilization are observed, depending on the changes in price difference and helper-operating time. In this research, the optimal operation strategy for price differentiation and helper-operating time is proposed in accordance with the level of the customer learning rate. Although this research confines the scope of the study to the self-service gas station model, the results of this research can be applied to any type of self-service system.