There is gradually being a decrease in earnings rate of the container terminals because of worsened business environment. To enhance global competitiveness of terminal, operators of the container terminal have been attempting to deal with problems of operations through analyzing overall the terminal operations. For improving operations of the container terminal, the operators try to efforts about analyzing and utilizing data from the database which collects and stores data generated during terminal operation in real time. In this paper, we have analyzed the characteristics of operating processes and defined the event log data to generate container processes and CKO processes using stored data in TOS (terminal operating system). And we have explained how imperfect event logs creating non-normal processes are refined effectively by analyzing the container and CKO processes. We also have proposed the framework to refine the event logs easily and fast. To validate the proposed framework we have implemented it using python2.7 and tested it using the data collected from real container terminal as input data. In consequence we could have verified that the non-normal processes in the terminal operations are greatly improved.
France owns a unique film production process with the big share of public funding. In its background there is the most developed film support scheme in the world. We consider the French film industry has the fair competition order than any other country. This study follows the French film production process from the project planning to film screening. It looks into various aspects French cinema: production scale of French films, investment/production agreement, actors casting, decision of the film budget, major investors, staffs' wages and collective convention, screening, overseas sales and profit-sharing. It aims to get across the French film industry, especially the film production sector. As a case study, we choose a romantic comedy, Heartbreaker(L'Arnacœur) made in 2010. This study presents a French film industry structure. It will give you some hints to reconsider the existing problems of Korean film industry, for example, screen monopoly, vertical integration of conglomerates, poor secondary market, low earnings rate… etc.
To analyze the effects of R&D expenditure on the firm value of Korean firms, we classified portfolios based on R&D activity levels. After that, we conducted a time-series analysis to assess excess returns from the portfolios. To carry out such an analysis, an empirical analysis of excess returns in the capital market was performed by using the monthly earning rate of stocks from 2000 to 2013. The purpose of this research is to provide basic data on investment to stakeholders in the capital market by analyzing the effects of R&D on the firm value and to overcome scholarly limitations by offering a new model of analysis. The criteria for classifying the portfolios were based on R&D expenditure levels. The analysis models follow the Fama-French Three-Factor Model and the Carhart Four-Factor Model. The analyses results are as follows. Extrapolating monthly profit rates based on R&D expenditure levels, portfolios with low R&D expenditures showed higher earning rates than those with high R&D expenditures. This suggests that high R&D expenditures did not translate into high earning rates. The investor depreciates the R&D expenditures related profitability and the possibility of success in the market, leading to falls in stock prices and a failure to give a positive effect on the firm value. Our research differs from the previous investigations as we carried out an empirical analysis based on the actual investors' attitudes about R&D expenditures and how these can generate excess earnings. Our research results show that the data related to R&D expenditure are not reflected fully in the market.
A study on the health care of Ewha Womans University staff, faculty and families was conducted during the period from March 1973 to August 1974 using designed questionaire. A total of 196 persons who were randomly sampled as 27.3% of the total staff and faculty 789 were studied. The response rates were 96.0%. The results and findings obtained from the study are summerized as follow. 1. The sex ratio of the members the faculty and the staff shows 83.2% and the singles are 37.2% of the total. Their mean family size being 4.6 persons per capita, each family has mean number of 2.3 childeren. 2. The median monthly income of a member of faculty amounts \114,000 and that of a staff \43,077. It amounts \79,333 when the median monthly income of both the members of the faculty and the staff are taken. Consequently, it amounts \91,727\ per family (Assumed mean). 3. 71.4% of the total hold the house of their own. A spouses of 59.4% of them are working for the additional income of the family. 4. Their health condition is rated fair, i. e. 92.3% of them enjoy good health. Out of total members faculty and the staff, 20.6% are cared by family physician. 36.2% of them feel that they are burdened by heavy medical expense. 5. 76.7% of them have affirmatively responded that they would purchase medical insurance policy when they were offered. It reaches 84.0% of the total who consider buying the policy for their dependents. 74.0% of them desire to purchase the policy for their spouse's parents. 6. The monthly prevalence rate reaches 17.0% and the hospital admission rate 4.7%.12.3% of them affirmatively responded that they had chronic diseas. The number of sick call per capita counts 0.2 per month and the hospital admission rate 0.05. 7. To examine the nature of their disease, the respiratory disease is rated to be the top and the gastro-intestinal disease comes to the next. As far as chronic disease is concerned, the gastro-intestinal disease is predominent. 8. As to their treatment, 65.4% of them get the physician's treatment and 17.0% treatment of drug purchasing and 7.7% prefer Chinesedrug. 6.6% of them gets no medical treatment at all. 9. The treatment ratio, including drug purchasing and other means, reaches 93.4%. 60.7% of them affirmatively responded that they did not or could not get physician's treatment at least once even though they thought they had to. It is disclosed that 25.4% of them are caused by economical reason. 10. Average medical expense per case amounts \7,116 and monthly medical expense per capita \1,345. Consequently, average monthly medical expense per family amounts \6,185. 11. The medical expense of a family is rated 7.7% of total earnings of the same period.
This study is analysing the factors determining individuals' behavior of selecting self-employment not only at the micro-level but also at the macro-level to put a particular emphasis on the financial constraint and unemployment rate representing business cycle. The data used in this study are "Korean Labor and Income Panal Study" of the Korea Labor Institute and "Economically Active Population Survey" of National Statistical Office. The main findings are as follows. First, human capital such as educational attainment and job experience has positive effects on male's selection of self-employment. The effects of job experience, however, changed negative for female's selection of self-employment. Second, real estate is significantly enhancing the selection probabilities of employer selection while the income from financial assets has negative effects. Third, entrepreneurial culture and environment are also raising the self-employment selection probability. Lastly, the regional unemployment rate representing the business cycle has positive effects on the self-employment selection after the financial crisis in 1997 both at the micro and macro level. Moreover, the coefficient of regional unemployment rate has changed positive in the structural model of self-employment selection controlling for selection bias and income opportunities, which means that individual's behavior of self-employment selection is rather complex when accounting for the uncertainties of income opportunities and diverse characteristics of self-employment workforce.
Kim, So Young;Park, Jong-Hyock;Kang, Kyoung Hee;Hwang, Inuk;Yang, Hyung Kook;Won, Young-Joo;Seo, Hong-Gwan;Lee, Dukhyoung;Yoon, Seok-Jun
Asian Pacific Journal of Cancer Prevention
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v.16
no.3
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pp.1295-1301
/
2015
Background: Cancer imposes a significant economic burden on individuals, families and society. The purpose of this study was to estimate the economic burden of cancer using the healthcare claims and cancer registry data in Korea in 2009. Materials and Methods: The economic burden of cancer was estimated using the prevalence data where patients were identified in the Korean Central Cancer Registry. We estimated the medical, non-medical, morbidity and mortality cost due to lost productivity. Medical costs were calculated using the healthcare claims data obtained from the Korean National Health Insurance (KNHI) Corporation. Non-medical costs included the cost of transportation to visit health providers, costs associated with caregiving for cancer patients, and costs for complementary and alternative medicine (CAM). Data acquired from the Korean National Statistics Office and Ministry of Labor were used to calculate the life expectancy at the time of death, age- and gender-specific wages on average, adjusted for unemployment and labor force participation rate. Sensitivity analysis was performed to derive the current value of foregone future earnings due to premature death, discounted at 3% and 5%. Results: In 2009, estimated total economic cost of cancer amounted to $17.3 billion at a 3% discount rate. Medical care accounted for 28.3% of total costs, followed by non-medical (17.2%), morbidity (24.2%) and mortality (30.3%) costs. Conclusions: Given that the direct medical cost sharply increased over the last decade, we must strive to construct a sustainable health care system that provides better care while lowering the cost. In addition, a comprehensive cancer survivorship policy aimed at lower caregiving cost and higher rate of return to work has become more important than previously considered.
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.
This study examines the determinants of the long-run stock price performance of the firms that granted stock options between 1997 and 2002. We divide the sample into the firms run by the owner and those run by the professional manager. If the primary reason for granting stock options is reduction of the agency costs between the manager and shareholders, the effect of stock options is likely to be more pronounced in the firms run by the professional manager. We find that the long-run abnormal returns of the firms run by the professional manager are negatively associated with the shareholdings by the manager and the book-to-market value and are positively associated with the earnings growth and the size of the outstanding stock options. In contrast, the long-run abnormal returns of the firms run by the owner are negatively associated with the cash flows rate and the sales growth rate and are positively associated with the firm size. This is consistent with the argument that the agency costs arising from the conflicts between the manager and shareholders are an important determinant of the post-stock option granting long-run stock price performance only in the firms run by the professional manager. The results also suggest that stock options in the firms run by the owner are likely to be used for the purposes such as additional compensation, a signaling device, a means that reduce the agency costs within firms.
Purpose - The purpose of paper is studying the static and dynamic side for long-term memory storage properties, and increase the explanatory power regarding the long-term memory process by looking at the long-term storage attributes, Korea Composite Stock Price Index. The reason for the use of GPH statistic is to derive the modified statistic Korea's stock market, and to research a process of long-term memory. Research design, data, and methodology - Level shifts were subjected to be an empirical analysis by applying the GPH method. It has been modified by taking into account the daily log return of the Korea Composite Stock Price Index a. The Data, used for the stock market to analyze whether deciding the action by the long-term memory process, yield daily stock price index of the Korea Composite Stock Price Index and the rate of return a log. The studies were proceeded with long-term memory and long-term semiparametric method in deriving the long-term memory estimators. Chapter 2 examines the leading research, and Chapter 3 describes the long-term memory processes and estimation methods. GPH statistics induced modifications of statistics and discussed Whittle statistic. Chapter 4 used Korea Composite Stock Price Index to estimate the long-term memory process parameters. Chapter 6 presents the conclusions and implications. Results - If the price of the time series is generated by the abnormal process, it may be located in long-term memory by a time series. However, test results by price fixed GPH method is not followed by long-term memory process or fractional differential process. In the case of the time-series level shift, the present test method for a long-term memory processes has a considerable amount of bias, and there exists a structural change in the stock distribution market. This structural change has implications in level shift. Stratum level shift assays are not considered as shifted strata. They exist distinctly in the stock secondary market as bias, and are presented in the test statistic of non-long-term memory process. It also generates an error as a long-term memory that could lead to false results. Conclusions - Changes in long-term memory characteristics associated with level shift present the following two suggestions. One, if any impact outside is flowed for a long period of time, we can know that the long-term memory processes have characteristic of the average return gradually. When the investor makes an investment, the same reasoning applies to him in the light of the characteristics of the long-term memory. It is suggested that when investors make decisions on investment, it is necessary to consider the characters of the long-term storage in reference with causing investors to increase the uncertainty and potential. The other one is the thing which must be considered variously according to time-series. The research for price-earnings ratio and investment risk should be composed of the long-term memory characters, and it would have more predictability.
KIPS Transactions on Software and Data Engineering
/
v.6
no.2
/
pp.67-76
/
2017
In industrial site in various fields it will be generated in combination with large amounts of data have a correlation. It is able to collect a variety of data in types of industry process, but they are unable to integrate each other's association between each process. For the data of the existing industry, the set values of the molding condition table are input by the operator as an arbitrary value When a problem occurs in the work process. In this paper, design the fusion and analysis processing model of data collected for each industrial type, Prediction Case(Automobile Connect), a through for corporate earnings improvement and process manufacturing industries such as master data through standard molding condition table and the production history file comparison collected during the manufacturing process and reduced failure rate with a new molding condition table digitized by arbitrary value for worker, a new pattern analysis and reinterpreted for various malfunction factors and exceptions, increased productivity, process improvement, the cost savings. It can be designed in a variety of data analysis and model validation. In addition, to secure manufacturing process of objectivity, consistency and optimization by standard set values analyzed and verified and may be optimized to support the industry type, fits optimization(standard setting) techniques through various pattern types.
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