In this paper, we outlines the basic pricing rules that developed over the years, and illustrates how these rules apply in practice using railway fare, price discrimination in railway travel. we review the problems of rail fare system reflecting the market fare decision and consider fare decision structure and relative fare comparison with other modes of transportation. Specifically, we focus on tile effect of tile “fare varying system with distance”, using the characteristics of long distance transportation modes. And set up the framework for reasonable fare decision under the current circumstances.
Journal of Korean Society of Industrial and Systems Engineering
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v.37
no.4
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pp.82-89
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2014
Recently, the mineral resource protection policies and regulations in production countries of natural resources including rare metals are becoming more stringent. Such environment makes which market has malfunction. In other word, those are not perfect or pure market. Therefore because each market of natural resources have special or unique characters, it is difficult to forecast their market prices. In this study, we constructed several models to estimate prices of natural resources using statistical tools like ARIMA and their business indices. And for examples, Indium and Coal were introduced.
The aim of this paper is to analyze the mechanics of price formation in the tramp shipping. For the purpose of this study, the main characteristics of tramp freight rates and the market is examined, and a brief examination of the nature ofthe costs of operation is given which are essential for the understanding of the functioning of shipping firms as well as for the understanding of developments in the tramp freight market. The demand and supply relationships in the market is also analysed in detail. Tramp shipping is an industry that has a market which functions under conditions that are not dissimilar to the theoretical model of perfect competition. However, it does notmean that tramp shipping market is a perfectly competitive market. It is apparent that this realworld competitive system has its imperfections, which means that the market for tramp shipping is near to being a perfectly competitive market on an internaitonal scale and it is freight are therefore subjext to the laws of supply and demand. In theory, the minimum freight rate in the short term is that at which the lowest cost vessels will lay-up in preference to operating, and is equal to the variable costs minus lay-up costs; and this would imply that in all times except those of full employment for ships there is a tendency for newer low-cost, and, probably, faster vessels to be driving the older high-cost vessels in the breaker's yards. In this case, shipowners may be reluctant to lay-up their ships becasue of obligations to crews, or because they would lose credibility with shippers or financiers, or simply because of lost prestige. Mainly, however, the decision is made on strictly economic grounds. When, for example, the total operating costs minus the likely freight earnings are greater than the cost of taking the ship out of service, maintaining it, and recommissioning it, then a ship may be considered for laying-up; shipowners will, in other words, run the ships at freight earnings below operating costs by as much as the cost of laying them up. As described above, the freight rates fixed on the tramp shipping market are subject to the laws of supply and demand. In other words, the basic properties of supply and demand are of significance so far as price or rate fluctuations in the tramp freight market are concerned. In connection with the same of the demand for tramp shipping services, the following points should be brone in mind: (a) That the magnitude of demand for sea transport of dry cargoes in general and for tramp shipping services in particular is increasing in the long run. (b) That owning to external factors, the demand for tramp shipping services is capable of varying sharphy at a given going of time. (c) The demad for the industry's services tends to be price inelastic in the short run. On the other hand the demand for the services offered by the individual shipping firm tends as a rule to be infinitely price elastic. In the meantime, the properties of the supply of the tramp shipping facilities are that it cannot expand or contract in the short run. Also, that in the long run there is a time-lag between entrepreneurs' decision to expand their fleets and the actual time of delivery of the new vessels. Thus, supply is inelastic and not capable of responding to demand and price changes at a given period of time. In conclusion, it can be safely stated that short-run changes in freight rates are a direct result of variations in the magnitude of demand for tramp shipping facilities, whilest the average level of freight rates is brought down to relatively low levels over prolonged periods of time.
Kim, Hyun-Shil;Ko, Kyung-Ho;Ahn, Nam-Sung;Cho, Byung-Oke
Korean System Dynamics Review
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v.7
no.2
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pp.35-56
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2006
Korea is implementing strong regulatory derives such as Feed in Tariff to provide incentives for renewable energy developers. But if the government is planning to increase the renewable capacity with only "Price policy" not considering the investors behavior in the competitive electricity market, the policy would be failed. It is necessary system thinking and simulation model analysis to decide government's incentive goal. This study is focusing on the assesment of the competitiveness of renewable energy with the current Feed in Tariff incentives compared to the traditional energy source, specially coal and gas. The simulation results show that the market penetration of renewable energy with the current Feed-in-Tariff level is about 60-70% of the government goal under condition that the solar energy and fuel cell are assumed to provide the whole capacity set in the governmental goal. If the contribution from solar and fuel cell is lower than planned, the total penetration of renewable energy will be dropped more. Notably, Wind power turned out to be proved only 10% of government goal because of its low availability.
Recently, production-consumption quantity and market size of environment-friendly agricultural products(EFAP) have been increased. Consumers have demanded food safety and nutrition of EFAP, but in the near future they will need many kinds of item, relatively low price and high quality. So producers have to make an effort for down-cost, increasing items and developing technical know-how, which can be attained by producer/region organization. Correlation coefficient between the recognition degree for certification system and purchasing amounts at a time is higher than other ones. Therefore public information works using the TV and newspaper must be promoted all the more about certification system. And if the consumer’s satisfaction level of EFAP purchased gets higher, the quantity demanded will be increased more. And consumer’s trust on EFAP is derived from certification system or close relation between producers and consumers. Thus the most important thing of marketing strategies for EFAP is continuously to focus on explanation and information works on certification system by region in metropolitan area. Also, it necessary to introduce green marketing principles and apply to strategies item type. Namely those need to establish target market segmentation And marketing strategy stages according to the green degrees of market And commodity.
Investors prefer to look for trading points based on the graph shown in the chart rather than complex analysis, such as corporate intrinsic value analysis and technical auxiliary index analysis. However, the pattern analysis technique is difficult and computerized less than the needs of users. In recent years, there have been many cases of studying stock price patterns using various machine learning techniques including neural networks in the field of artificial intelligence(AI). In particular, the development of IT technology has made it easier to analyze a huge number of chart data to find patterns that can predict stock prices. Although short-term forecasting power of prices has increased in terms of performance so far, long-term forecasting power is limited and is used in short-term trading rather than long-term investment. Other studies have focused on mechanically and accurately identifying patterns that were not recognized by past technology, but it can be vulnerable in practical areas because it is a separate matter whether the patterns found are suitable for trading. When they find a meaningful pattern, they find a point that matches the pattern. They then measure their performance after n days, assuming that they have bought at that point in time. Since this approach is to calculate virtual revenues, there can be many disparities with reality. The existing research method tries to find a pattern with stock price prediction power, but this study proposes to define the patterns first and to trade when the pattern with high success probability appears. The M & W wave pattern published by Merrill(1980) is simple because we can distinguish it by five turning points. Despite the report that some patterns have price predictability, there were no performance reports used in the actual market. The simplicity of a pattern consisting of five turning points has the advantage of reducing the cost of increasing pattern recognition accuracy. In this study, 16 patterns of up conversion and 16 patterns of down conversion are reclassified into ten groups so that they can be easily implemented by the system. Only one pattern with high success rate per group is selected for trading. Patterns that had a high probability of success in the past are likely to succeed in the future. So we trade when such a pattern occurs. It is a real situation because it is measured assuming that both the buy and sell have been executed. We tested three ways to calculate the turning point. The first method, the minimum change rate zig-zag method, removes price movements below a certain percentage and calculates the vertex. In the second method, high-low line zig-zag, the high price that meets the n-day high price line is calculated at the peak price, and the low price that meets the n-day low price line is calculated at the valley price. In the third method, the swing wave method, the high price in the center higher than n high prices on the left and right is calculated as the peak price. If the central low price is lower than the n low price on the left and right, it is calculated as valley price. The swing wave method was superior to the other methods in the test results. It is interpreted that the transaction after checking the completion of the pattern is more effective than the transaction in the unfinished state of the pattern. Genetic algorithms(GA) were the most suitable solution, although it was virtually impossible to find patterns with high success rates because the number of cases was too large in this simulation. We also performed the simulation using the Walk-forward Analysis(WFA) method, which tests the test section and the application section separately. So we were able to respond appropriately to market changes. In this study, we optimize the stock portfolio because there is a risk of over-optimized if we implement the variable optimality for each individual stock. Therefore, we selected the number of constituent stocks as 20 to increase the effect of diversified investment while avoiding optimization. We tested the KOSPI market by dividing it into six categories. In the results, the portfolio of small cap stock was the most successful and the high vol stock portfolio was the second best. This shows that patterns need to have some price volatility in order for patterns to be shaped, but volatility is not the best.
Economic theory tell us, consumers always make a choice to maximize their utility. In the market system, consumers' choices are revealed and policy maker taking into account the aggregated consumers choice such as price, supply and demand. However, water resources as a public goods, therefore typically there is no market and does no aggregated information for residential water use. This study explore the consumers' willingness to pay for higher quality for residential water. Over 1,000 households responded for this survey and willingness to pay has been estimated. Furthermore, consumers' behaviors of residential water are examined. Consumers are willing to reduce the amount of water use with more than 50% of increasing water price, but stay almost constant with less than 25% of increasing which mean that current price level is not high enough to derive water saving. If consumers can have better quality of water, they willing to pay additional 16%, $153\;won/m^3/month$, more than their current price. Based on the derived information, we suggested policy direction for residential water policy.
Journal of the Korea Fashion and Costume Design Association
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v.16
no.4
/
pp.1-14
/
2014
In social commerce, consumers can buy products at much cheaper price if the required minimum number of buyers are made. Social commerce has showed rapid growth as an innovative distribution system receiving highlights, however it is true that it hasn't been sufficiently studied. The purpose of the study for presents the direction of growth of the fashion industry with social commerce through qualitative studies. This study is to make a preference group of four people and a non-preference group of four people of social commerce users for the fashion items sold social commerce market and lastly proposes some improvements. The 'preference group' showed high familiarity and preference to social commerce; and they had the tendency of the pursuit of convenience and voluptuous shopping. The revisit of 'non-preference group' preferred open market and, had the tendency of economical shopping and, they are favorable to other categories of social commerce. The reasons of preference were that accessibility was good in fashion products purchasing behaviors in social commerce and, it was convenient and, price was good and new information on cheap and good products were provided; the reasons of non-preference were that the quality of the products and genuineness of articles are doubtful or, the price is not the lowest or, the carried over products were majority. In the perspective of the fashion products in social commerce they answered that it would be brighter but improvements are needed such as supplying exact information, the lowest price, diversified products and the subdivision of category.
As restructuring in power industry has introduced competitive markets, a new method on demand side management has been developed. Many programs using the method were developed with providing several choices for customer. Nowadays the programs are called demand response as the load management is done by customer's responding to the market price signal. It was proven that the method was effective for demand control with the active consumer's attending for the program. This paper analyses the perspective and the requirement for designing the demand response system.
Proceedings of the Korean Institute of Building Construction Conference
/
2015.05a
/
pp.111-112
/
2015
Garak Market Modernization Project Phase 1, which is the public projects worth 1,75 billion won, was delivered by adopting modifiable bid of BOQ on the lowest price award system. The modifiable bid of BOQ system allows bidders to modify quantities based on their own drawings and construction specifications and requirements. It was initiated by the government for minimizing design error and for inducing technical competition between tenders by checking errors. At that time the bidding, it allowed modifying the BOQ all the works. In the construction phase, the responsibility for the design changes, due to mistakes and omissions on design documents and BOQ were disputed between the owner and the contractors. This study analyzed the problem of the system and addressed a need of improvement.
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