• Title/Summary/Keyword: Price Change

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The Study on Identify components of CEO image Influence in Brand's value (CEO의 이미지가 브랜드 가치에 미치는 영향)

  • Kim, Mi-Kyung
    • Journal of Fashion Business
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    • v.12 no.1
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    • pp.129-146
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    • 2008
  • The purpose of this study is to identify components of CEO image and to examine predictors to affect company's market value. To explore the social construction of the CEO Image depicted in the popular business newspaper, the Wall Street Journal and daily newspaper of Korea, was analyzed. Then, the reconstructed image of the CEO was compared with the firm's stock price change to see their relationship, if any. This paper focused on the case of Carly Fiorina as previous chief of Hewlett-Packard, who was the Fortune's ranking of the 50 most powerful women in business is presented. The period for the analysis was five years and eight months from her inauguration(July, 1999) to the release(February, 2005). The results, four predictors such as nature, management ability, leadership style, appearance character had statistically significant relationship with both company's market value and the image of CEO. In addition to revealed that media coverage of Carly Filoina was commensurate with the financial performance, particularly stock price change of the Hewlett-Packard. In general, the best image of the CEO is highly transcends to the image of the company as well. Therefore it is need to manage effectively components of CEO image to enhance brand image and its brand value, which are further expected to enhance company's market value.

Measuring the social effects of the origin labeling of beef in the Korean food service sector

  • Kim, Sounghun;Han, Jae-Hwan
    • Korean Journal of Agricultural Science
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    • v.46 no.2
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    • pp.323-333
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    • 2019
  • In Korea, origin labeling is one of the main issues in the food service sector. Many restaurants presented the incorrect or no origin of the food material, and Korean consumers have kept complaining about it. Even though the origin labeling program was welcomed by consumers, the food service sector has claimed that there is an increasing cost due to the origin labeling program. It is an important issue to determine whether the origin labeling program is good for the social welfare; however, the specific effects of the origin labeling program have rarely been measured. The purpose of this study was to measure the effect of origin labeling of beef in the Korean food service sector. Through survey and model analyses, a few findings are presented. First, Korean consumers showed a positive willingness-to-pay for the origin labeling of beef. Especially, consumers without information on the origin of the beef showed a larger willingness-to-pay for the origin labeling. Second, the origin labeling of beef changed the price and quantity of beef, and this change became larger when the consumers had no information on the origin of the beef. The change in the marketing margin due to the origin labeling program also affected the changes in the price and quantity of the beef. Third, the origin labeling of beef increased the social welfare, which is the sum of the consumer surplus and producer surplus. And this increase of the social welfare became larger when the consumers had no information about the origin.

A Study on Price Volatility and Properties of Time-series for the Tangerine Price in Jeju (제주지역 감귤가격의 시계열적 특성 및 가격변동성에 관한 연구)

  • Ko, Bong-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.212-217
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    • 2020
  • The purpose of this study was to analyze the volatility and properties of a time series for tangerine prices in Jeju using the GARCH model of Bollerslev(1986). First, it was found that the time series for the rate of change in tangerine prices had a thicker tail rather than a normal distribution. At a significance level of 1%, the Jarque-Bera statistic led to a rejection of the null hypothesis that the distribution of the time series for the rate of change in tangerine prices is normally distributed. Second, the correlation between the time series was high based on the Ljung-Box Q statistic, which was statistically verified through the ARCH-LM test. Third, the results of the GARCH(1,1) model estimation showed statistically significant results at a significance level of 1%, except for the constant of the mean equation. The persistence parameter value of the variance equation was estimated to be close to 1, which means that there is a high possibility that a similar level of volatility will be present in the future. Finally, it is expected that the results of this study can be used as basic data to optimize the government's tangerine supply and demand control policy.

Analysis and Prediction of the Fiberboard Demand using VAR Model (VAR 모형에 의한 섬유판 수요 분석 및 예측)

  • Kim, Dongjun
    • Journal of Korean Society of Forest Science
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    • v.98 no.3
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    • pp.284-289
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    • 2009
  • This study estimated the fiberboard demand using VAR and econometric model, and compared the prediction accuracy of the two models. And the variance decomposition and impulse response were analyzed using VAR model, and predicted the fiberboard demand. The VAR model was specified with lagged dependent variable, lagged own price, lagged construction product, dummy. The econometric model was specified with own price, substitute price, construction product, dummy. The dummy variable reflected the abrupt decrease in fiberboard demand in the late 1990's. The results showed that the fiberboard demand prediction can be performed more accurately by VAR model than by econometric model. In the VAR model of fiberboard demand, after twelve months, the construction product change accounts for about fifty percent of variation in the demand, and the own price change accounts for about thirty percent of variation in the demand. On the other hand, the impact of a shock to the construction product is significant for about twelve months on the demand of fiberboard, and the impact of a shock to the own price is significant for about six months on the demand of fiberboard.

Estimation of city gas demand function using time series data (시계열 자료를 이용한 도시가스의 수요함수 추정)

  • Lee, Seung-Jae;Euh, Seung-Seob;Yoo, Seung-Hoon
    • Journal of Energy Engineering
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    • v.22 no.4
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    • pp.370-375
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    • 2013
  • This paper attempts to estimate the city gas demand function in Korea over the period 1981-2012. As the city gas demand function provides us information on the pattern of consumer's city gas consumption, it can be usefully utilized in predicting the impact of policy variables such as city gas price and forecasting the demand for city gas. We apply lagged dependent variable model and ordinary least square method as a robust approach to estimating the parameters of the city gas demand function. The results show that short-run price and income elasticities of the city gas demand are estimated to be -0.522 and 0.874, respectively. They are statistically significant at the 1% level. The short-run price and income elasticities portray that demand for city gas is price- and income-inelastic. This implies that the city gas is indispensable goods to human-being's life, thus the city gas demand would not be promptly adjusted to responding to price and/or income change. However, long-run price and income elasticities reveal that the demand for city gas is price- and income-elastic in the long-run.

Estimation of kerosene demand function using time series data (시계열 자료를 이용한 등유수요함수 추정)

  • Jeong, Dong-Won;Hwang, Byoung-Soh;Yoo, Seung-Hoon
    • Journal of Energy Engineering
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    • v.22 no.3
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    • pp.245-249
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    • 2013
  • This paper attempts to estimate the kerosene demand function in Korea over the period 1981-2012. As the kerosene demand function provides us information on the pattern of consumer's kerosene consumption, it can be usefully utilized in predicting the impact of policy variables such as kerosene price and forecasting the demand for kerosene. We apply least absolute deviations and least median squares estimation methods as a robust approach to estimating the parameters of the kerosene demand function. The results show that short-run price and income elasticities of the kerosene demand are estimated to be -0.468 and 0.409, respectively. They are statisitically significant at the 1% level. The short-run price and income elasticities portray that demand for kerosene is price- and income-inelastic. This implies that the kerosene is indispensable goods to human-being's life, thus the kerosene demand would not be promptly adjusted to responding to price and/or income change. However, long-run price and income elasticities reveal that the demand for kerosene is price- and income-elastic in the long-run.

Analysis of Global Food Market and Food-Energy Price Links: Based on System Dynamics Approach

  • Kim, Gyu-Rim
    • Korean System Dynamics Review
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    • v.10 no.3
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    • pp.105-124
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    • 2009
  • The situation of the global food markets has been being rapidly restructured and entering on a new phase by new dynamic and driving forces. The factors such as economic growth and income increase, high energy price, globalization, urbanization, and global climate change are transforming patterns of food consumption, production, and markets. The prices and markets of world food and energy are getting increasingly linked each other. Food and fuel are the global dilemma issues associated with the risk of diverting farmland or of consuming cereals for biofuel production in detriment of the cereals supply to the global food markets. An estimated 100 million tons of grain per year are being redirected from food to fuel. Therefore, the objectives of this study are as follows: Firstly, the study examines situations of the world food and energy resources, analyzes the trends of prices of the crude oil and biofuel, and formulates the food-energy links mechanism. Secondly, the study builds a simulation model, based on system dynamics approach, for not only analyzing the global cereals market and energy market but also forecasting the global production, consumption, and stock of those markets by 2030 in the future. The model of this study consists of four sectors, i.e., world population dynamics sector, global food market dynamics sector, global energy market dynamics sector, scenario sector of world economic growth and oil price.

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The Effect of Yearly Purchase Price Pattern in Electricity Transaction Between Utility and IPPs (IPP와의 전력거래에서 연도별 요금지불 구조의 영향)

  • 김창수;진병문;권영한
    • Journal of Energy Engineering
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    • v.8 no.2
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    • pp.265-271
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    • 1999
  • In recent years, the electric utility industry in Korea has undergone fast change. Private power generation has been introduced by competitive bidding to improve economic efficiency and to strengthen the competitive generation market. In these private generation projects, the yearly pattern of purchase price between the utility and IPPs is very important. Currently, the levelized payment schedule is applied to capacity payment, and price escalation rates are reflected to energy payment. In this paper, we Proposed different patterns of payment and analyzed the outcomes. As a result, we found possibility of applying the partial front-loading pattern in Korean market to share the risk of the long-term business. And, the importance of discount rate is also found.

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A Branch-and-price Algorithm for the Vehicle Routing Problem with Time Dependent Travel Times (이동시간의 변화를 고려한 차량경로 문제의 분지평가법을 이용한 최적화 해법)

  • Lee, Yong-Sik;Lee, Chung-Mok;Park, Sung-Soo
    • Journal of Korean Institute of Industrial Engineers
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    • v.37 no.2
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    • pp.144-152
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    • 2011
  • Most of the models for the vehicle routing problems studied in the literature assumed constant travel times. However, those approaches may give infeasible solutions when traffic congestion causes delays in travel time. To overcome such difficulty, there have been some researches considering the change of the travel time which is called the time dependent vehicle routing problem (TDVRP). TDVRP assumes that the travel time between two locations is not only affected by the distance traveled, but by many other factors including the time of the day. In this paper, we propose a branch-and-price algorithm to solve the TDVRP. The time dependent property of the travel time is dealt with an enumeration scheme with bounding procedures in the column generation procedure identifying a profitable route. The proposed algorithm guarantees the "Non-passing" property to be held in the solutions. The algorithm was tested on problems composed of the Solomon's benchmark instances for 25 and 50 nodes. Computational results are reported.

A Study on Payments of Royalty & License Fee and Customs Valuation (권리사용료의 지급과 관세평가에 관한 연구)

  • LEE, Byung-Lak;RHEEM, Sung-Sue
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.69
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    • pp.673-698
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    • 2016
  • This study tries to conduct a systematic analysis on whether adding up the royalties and license fees or not in measuring the taxable amount of tariff. We have confirmed that three main criteria to decide whether it is yes or not are non-inclusion, relatedness and condition of sale. We also have realized that whether satisfying a condition of sale or not depends on license agreement, sales contract, special relationship and so on. Furthermore, we have made case studies of bonded factory, film's domestic distribution, exempt royalty and license fee, price for exclusive use of relevant technology, retroactive application of price change and strict interpretation. Based on the case studies we have derived the following conclusions: First, the royalties and license fees only actually paid to the licensors may be added to taxable amount. Second, the royalties and license fees incurred after the imported goods are made into domestic goods may not be added up. Third, the royalties and license fees paid as a price for use may not be added up. Fourth, the analogical interpretation of relevant codes is not accepted.

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