• The Journal of Fisheries Business Administration
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• v.35 no.1
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• pp.169-191
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• 2004

This Study attempts to analysis the degrees of the efficiency of fisheries marketing channel's effectiveness, which are traditional marketing channel's effectiveness of fisheries wholesale markets and Discount Store's effectiveness such as margin, marketing performance. The study methodologies include not only a field sample survey but also a field interview. The results of this study are summarized as follows. First, at the numbers of fisheries marketing channel's margin factors, traditional marketing channel's margin factors are more than discount store's margin factors. Secondly, at the comparative study result of marketing channel margin efficiency, traditional marketing channel's prices are similar to discount store's prices. That is, consumers have bought similar retail price's seafood products through traditional marketing channels as well as discount stores cannels. Finally, however most consumers prefer discount stores to traditional retail stores because of discount store's multi-functions such as assortment of goods, freshness, exchange, refund and employee's kindness. In conclusion, the most important factor of fisheries marketing management is to realize the appropriate balance between marketing margin and consumer satisfaction.

• Health Policy and Management
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• v.23 no.2
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• pp.112-123
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• 2013

Background: Under the risk of financial sustainability of National Health Insurance, Korean government attempted a series of regulations over pharmaceutical prices. The first price-cut was implemented to the hyperlipidemial treatments, and the prices of statins were reduced on 15th, April in 2009. The purposes of this study are 1) to investigate the impact of this price-cut on pharmaceutical expenditure, and 2) to identify the factors associated with drug-switch among statins. Methods: Using the national patients sample data, this study conducted time series analysis on the expenditures, prices, and volumes of statin drugs. To understand the factors associated with drug-switch, the multinomial logit model was analyzed at the patients level. Results: The results of time series analysis demonstrated that the price-cut of hyperlipidemic medicines did not lead to the reduced expenditure, suggesting the increased volume was the major cause. The multinomial logit analysis identified the switch of healthcare provider as the significant factor that was highly associated with drug-switch, implying the physicians' preference was the major motivation of drug-switch. Conclusion: Without control of utilization, price regulation itself could not reduce pharmaceutical expenditure. This suggests that the pharmaceutical regulations should be implemented on the basis of understanding of provider behaviors. The findings of this study will form the first step for further empirical studies.

• Environmental and Resource Economics Review
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• v.22 no.2
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• pp.393-410
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• 2013

We employ a threshold vector error correction models (TVECM) to investigate the nonlinear dynamic adjustment of gasoline prices in Korea. We consider 10 regional gasoline markets including Seoul, Busan, Daegu, Incheon, Kwangju, Daejeon, Ulsan, Kangwon, Chungbuk, Jeonbuk and construct 9 price differences against Seoul. We use the bootstrap procedure suggested by Hansen (1999) and generalized by Lo and Zivot (2001) to show that three-regime TVECM is suitable for our analysis. Results indicate the gasoline price adjustment processes are nonlinear. Our estimation shows that Seoul-Daejeon, Seoul-Daegu and Seoul-Ulsan have bigger transaction costs than other market pairs and thus gasoline prices of these three regional markets are lower than that of Seoul. Gasoline prices of the other 6 regional markets are close to Seoul's price. One interesting finding is that the transaction costs are not proportional to geographical distances. This implies that transportation costs are not the main factor of the transaction costs. The transaction costs may depends on the competition intensity of gasoline markets in supply side.

• Journal of the Korea Society of Computer and Information
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• v.27 no.8
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• pp.31-39
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• 2022

Stock prices are influenced by a number of external factors, such as laws and trends, as well as number-based internal factors such as trading volume and closing prices. Since many factors affect stock prices, it is very difficult to accurately predict stock prices using only fragmentary stock data. In particular, since the value of a company is greatly affected by the perception of people who actually trade stocks, emotional information about a specific company is considered an important factor. In this paper, we propose a deep learning-based stock price prediction model using sentiment analysis with news data considering temporal characteristics. Stock and news data, two heterogeneous data with different characteristics, are integrated according to time scale and used as input to the model, and the effect of time scale and sentiment index on stock price prediction is finally compared and analyzed. Also, we verify that the accuracy of the proposed model is improved through comparative experiments with existing models.

• The Journal of Bigdata
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• v.6 no.1
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• pp.91-113
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• 2021

Despite the influence of real estate in the Korean asset market, it is not easy to predict market trends, and among them, apartments are not easy to predict because they are both residential spaces and contain investment properties. Factors affecting apartment prices vary and regional characteristics should also be considered. This study was conducted to compare the factors and characteristics that affect apartment prices in Seoul as a whole, 3 Gangnam districts, Nowon, Dobong, Gangbuk, Geumcheon, Gwanak and Guro districts and to understand the possibility of price prediction based on this. The analysis used machine learning algorithms such as neural networks, CHAID, linear regression, and random forests. The most important factor affecting the average selling price of all apartments in Seoul was the government's policy element, and easing policies such as easing transaction regulations and easing financial regulations were highly influential. In the case of the three Gangnam districts, the policy influence was low, and in the case of Gangnam-gu District, housing supply was the most important factor. On the other hand, 6 mid-lower-level districts saw government policies act as important variables and were commonly influenced by financial regulatory policies.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.289-291
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• 2000

In a competitive electricity power market, the price of electricity changes instantly, that of conventional market is predetermined and hardly changes. In such a new environment, customers' behaviors change instantly according to the changing electricity prices. If we develop a electricity load model that well describes the behavior of electricity consumers, we can utilize that model in forecasting the amount of future load, solving the load flow problem and finding the weak point of the system. In this paper new electricity model that considers the price of electricity and power factor of the load is presented. While conventional load model, which is demand function of electricity, uses the price of real and reactive power as the independent variable of the demand function. this new load model uses price of real power and penalty factor according to the power factor for the calculation of amount of electricity demand.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.367-370
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• 2015

Building deterioration reflects the degradation of basic building performance including structural performance, energy performance, durability, and safety, and it also includes perceived deterioration, which considers a user-based perspective. More than 50% of the existing buildings in Korea are over 15 years old and public buildings compose 2.5% of all buildings domestically. Therefore, there are several different problems, such as poor energy efficiency, structural performance, and safety. To address the challenges of increasing stock in deteriorated buildings, it is necessary to make decisions about reconstruction or renovation. In this study, we propose a new method to evaluate public building value with a contingent valuation method (CVM). By estimating willing-to-pay (WTP) from users of private buildings in similar situation with the public building, it is possible to compare market prices and calculate a correction factor to adjust the WTP data. Finally, we apply the correction factor to the WTP of a public building and estimate market price, willingness to pay (WTP). Finally, we apply the correction factor to willing to pay (WTP) of public building and estimate market price.

• Journal of the Korean Solar Energy Society
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• v.36 no.1
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• pp.63-73
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• 2016

How effectively a wind farm captures high market prices can greatly influence a wind farm's viability. This research identifies and creates an understanding of the effects that result in various capture prices (average revenue earned per unit of generation) that can be seen among different wind farms, in the current and future competitive SMP (System Marginal Price) market in South Korea. Through the use of a neural network to simulate changes in SMP caused by increased renewables, based on the Korea Institute of Energy Research's extensive wind resource database for South Korea, the variances in current and future capture prices are modelled and analyzed for both onshore and offshore wind power generation. Simulation results shows a spread in capture price of 5.5% for the year 2035 that depends on both a locations wind characteristics and the generations' correlation with other wind power generation. Wind characteristics include the generations' correlation with SMP price, diurnal profile shape, and capacity factor. The wind revenue cannibalization effect reduces the capture price obtained by wind power generation that is located close to a substantial amount of other wind power generation. In onshore locations wind characteristics can differ significantly/ Hence it is recommended that possible wind development sites have suitable diurnal profiles that effectively capture high SMP prices. Also, as increasing wind power capacity becomes installed in South Korea, it is recommended that wind power generation be located in regions far from the expected wind power generation 'hotspots' in the future. Hence, a suitable site along the east mountain ridges of South Korea is predicted to be extremely effective in attaining high SMP capture prices. Attention to these factors will increase the revenues obtained by wind power generation in a competitive electricity market.

• IE interfaces
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• v.2 no.2
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• pp.63-73
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• 1989

The present paper determines the equilibrium price function of used goods and their carry-over age when there are heterogeneous firms with different factor prices. It is shown that the used good market enables more efficient use of durable goods and thereby gains from trades. It is also shown that firms with a lower interest rate and a higher wage rate specialize in using newer goods.

• Korean Journal of Construction Engineering and Management
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• v.11 no.2
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• pp.35-44
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• 2010

Currently, the unit price of public construction projects are not being evaluated appropriately for several reasons. First, the evaluation of the unit price differ per nature of the bidding process and its estimation process. In fact, pricing is determined to meet the total price in turnkey projects and to pass the low bid price deliberation process in unit price projects, and thus, such prices cannot be said to be reasonable prices per public project. After the contract is awarded, however, the prices determined without taking into consideration the characteristic of each bidding process and price estimate process are used for the valuation of progress payment, design changes, and escalation. Furthermore, this is also being applied to other low bid deliberation process as actual public project unit price, thereby affecting other processes as well. In effect, this system increases the risks for both the owner and the bidder who have determined the unit price. This research examines the risk factor and its extent in order to properly manage it in preparation for the future.