• Environmental and Resource Economics Review
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• v.20 no.3
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• pp.459-487
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• 2011

A/R CDM project has properties such as irreversibility and uncertainty that Real Option Analysis can be applied to its modelling. This study tries to model A/R CDM using Real Option under CER price uncertainty, and conducts empirical test with the Posco A/R CDM Project case. For precise comparison and decision-making, l-CER's expected present value is calculated from the Spot CER price. As a result, the critical value of the project is lower than the expected l-CER price, which means that the decision to invest made by the project owner is profitable. We can also find out that the level and the range of the discount rate, where is applied to, affect the result; the critical value of the project and the decision-making.

• Journal of Family Resource Management and Policy Review
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• v.2 no.2
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• pp.135-145
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• 1998

The purpose of this study was to examine how much the cost of marriage ceremony has increased according to the economic growth. The relationship between marriage expenditures and other comparison variables such as per capital GNP, monthly income, consumer price index was particularly examined. All the money values were adjusted by consumer price index. Data from the Central Committee for Promotion of Saving were used in this study. The results of this study follow. First, nominal and actual total outlay of marriage ceremony has continuously increased. Total marriage ceremony cost was positively correlated with the housing price so that bridegroom’s outlay were greater than that of bride’s one since bridegroom was more likely to have the responsibility for the price of new couple’s house. Second, it was found that increased percentage rate of marriage ceremony cost was greater than that of national economic growth. The total marriage expenditure was about 10 times as much per capital income in 1990. Third, it was revealed that housing cost increased three times from 1990 to 1995, and marriage ceremony expense was accordingly increased twice during the same periods. Such trends tend to increase continuously. Last, the marriage cost percentage to monthly income called marriage expenditure share increased by 1990 and then decreased. Such a decreasing trend can be explained by the increased amount of income partly due to the higher wage rate compared to other conditions since 1990.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.9
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• pp.4610-4615
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• 2013

In this study, optimal operation strategies to save the electric energy and power price in the building central cooling system is researched by experiments. The optimal strategies of demand response control and outdoor temperature reset control algorithms are applied by consideration the electric energy and power price according to the energy consumption characteristics. The suggested optimal control method shows better responses in the power price and energy consumption in comparison with the conventional one and saves energy consumption by 9.5% and electronic price by 15.7%, respectively.

• The Research Journal of the Costume Culture
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• v.27 no.1
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• pp.20-32
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• 2019

This study examined whether and how consumers who seek a bargain in their shopping for luxury fashion brands differ from traditional luxury consumers or non-luxury consumers on their market-related attitudes. To do so, this study compared multi-dimensional perceived values, fairness price perceptions, satisfaction with purchase, brand loyalty, and future purchase intention among luxury consumers, luxury-bargain seekers, and non-luxury consumers. Data was obtained from online surveys and the market-related attitudes were compared using an ANOVA test. The comparion of three types of consumers revealed that luxury-bargain seekers and regular luxury consumers are distinct consumer markets. Overall, luxury consumers displayed high perceived values and brand loyalty and were fairly satisfied with the purchase at full-prices. On the other hand, luxury-bargain seekers showed significantly low perceived social value, perceived fairness toward the original price of the brands, and brand loyalty. They were satisfied with the bargain purchase but not likely to purchase the luxury at full-prices in the future. Understanding these distinct types of consumers and targeting them with different product and pricing strategies are important for luxury brands and retailers to expand luxury consumer base without diluting their brands' prestige image. Potential marketing strategies based on the findings of this study were suggested.

• Korean Journal of Organic Agriculture
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• v.30 no.2
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• pp.255-277
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• 2022

This study investigated consumers' perception of fruits and vegetables grown in smart farms to stimulate the sale of agricultural products grown in smart farms. To this end, a survey was conducted on 1,050 consumers. The main results are as follows. First, 58.6% of respondents knew about smart farms, and they perceived fruits and vegetables grown in smart farms as more valuable than those grown in conventional facilities. In the detailed values, values of safety and environmental damage reduction were perceived to be of greatest value among five values. Second, as a result of investigating the importance of smart farm cultivation information in comparison with price, the most respondents emphasized both smart farm cultivation information and price information, and smart farm cultivation information was compared with price information. Cases were investigated to be more important with slight differences. Third, 41.4% of respondents had the price premium payment intention for fruit and vegetables grown in smart farms. Fourth, as a result of analyzing variables affecting the premium intention, the higher the health value among five values was recognized and the more important the smart farm cultivation information was, the higher the premium payment intention was.

• International Commerce and Information Review
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• v.18 no.2
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• pp.169-194
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• 2016

This study aims to explain the cause of price differences of bi-national products based on consumer response of product type, distribution channel, and consumer nationality, respectively. Specifically this study investigated whether price discount and distribution channel affect consumer evaluation by luxury and non-luxury product type. In the case of bi-national product toward the non-luxury, price discount had positive influence on preference, regardless of distribution channel. By revealing the influence of price discount on bi-national products on consumer response of product type and distribution channel respectively, the study suggests meaningful implications for the strategic management of bi-national products.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.561-571
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• 2021

As the game industry grows, the companies are promoting price discounts to increase game sales and profits. Consumers generally feel guilt when they are purchasing games. Previous studies argue that consumers feel less guilty and justify their consumption more easily when they are purchasing hedonic products at discounted price. In this study, we argue that there are different types of games; multi-game where consumers socialize each other and single games not supporting socializing. In the multi-game, consumers make social relationship which can provide substantial benefits. Since multi-games are promoting consumers' socializing expected to have those benefits. Although most of game consumptions bring a sense of guilty feeling, purchasing multi-game may not cause guilt much because the benefits of socializing justify the consumption. To support my hypothesis, we collect the data from global game platform Steam to analyze the relationship between price promotion and number of consumers. As a result, price promotion has significantly different relationship between multi-and single game. The results of this study suggest several managerial implications.

• Korean Journal of Community Nutrition
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• v.27 no.2
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• pp.105-120
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• 2022

Objectives: This study evaluated nutritional quality of convenience store meal boxes according to store company and meal price. Methods: In May 2020, 71 meal boxes from five major convenience store companies were collected. Respective weights of all dishes and food ingredients included in each meal box were measured with a digital scale. Information on nutritional contents was collected from nutrition fact panels on packages. Food group patterns, dietary diversity scores (DDS), and dietary variety scores (DVS) were analyzed. Nutritional contents, i.e., amounts of energy, protein, and sodium, and percentages of energy from carbohydrate, sugar, fat, and saturated fat were compared with respective standards based on the 2020 Dietary Reference Intakes for Koreans. Comparison was made among five companies (Company A, B, C, D, E) and three price groups (≦ 4,200 won, ≧ 4,300 and ≦ 4,500 won, ≧ 4,600 won). Multiple regression analyses were conducted to examine the difference of nutritional contents according to company and price, respectively while holding the other variable constant. Results: DDS, but not DVS, significantly differed among companies. The percentages of meal boxes meeting the nutritional standards of sodium significantly differed among companies; the percentage was highest in companies B (75.0%) and C (73.3%). "Company" was associated with amount of energy, protein, and sodium, and percentage of energy from saturated fat. "Price" was associated with the amount of energy and percentage of energy from carbohydrate. The average number of satisfied standards was highest in companies B (5.0) and C (4.0). About two-thirds of the meal boxes provided less amount of energy than the standard; the percentage of such meal boxes was highest in meal boxes with price of 4,200 won or lower. Conclusions: There were significant differences in the nutritional quality of meal boxes according to "company". Meanwhile, higher-priced meal boxes did not necessarily ensure better nutritional quality.

• The Journal of Fisheries Business Administration
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• v.52 no.4
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• pp.13-28
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• 2021

The purpose of this study is to compare short-term price predictive power among ARMA ARMAX and VAR forecasting models based on the MDM test using monthly consumer price data of frozen mackerel. This study also aims to help policymakers and economic actors make reasonable choices in the market on monthly consumer price of frozen mackerel. To analyze this study, the frozen wholesale prices and new consumer prices were used as variables while the price time series data were used from December 2013 to July 2021. Through the unit root test, it was confirmed that the time series variables employed in the models were stable while the level variables were used for analysis. As a result of conducting information standards and Granger causality tests, it was found that the wholesale prices and fresh consumer prices from the previous month have affected the frozen consumer prices. Then, the model with the highest predictive power was selected by RMSE, RMSPE, MAE, MAPE, and Theil's inequality coefficient criteria where the predictive power was compared by the MDM test in order to examine which model is superior. As a result of the analysis, ARMAX(1,1) with the frozen wholesale, ARMAX(1,1) with the fresh consumer model and VAR model were selected. Through the five criteria and MDM tests, the VAR model was selected as the superior model in predicting the monthly consumer price of frozen mackerel.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.67-75
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• 2023

Stock price prediction is an important topic extensively discussed in the financial market, but it is considered a challenging subject due to numerous factors that can influence it. In this research, performance was compared and analyzed by applying time series prediction models (LSTM, GRU) and non-time series prediction models (RF, SVR, KNN, LGBM) that do not take into account the temporal dependence of data into stock price prediction. In addition, various data such as stock price data, technical indicators, financial statements indicators, buy sell indicators, short selling, and foreign indicators were combined to find optimal predictors and analyze major factors affecting stock price prediction by industry. Through the hyperparameter optimization process, the process of improving the prediction performance for each algorithm was also conducted to analyze the factors affecting the performance. As a result of feature selection and hyperparameter optimization, it was found that the forecast accuracy of the time series prediction algorithm GRU and LSTM+GRU was the highest.