• Journal of Navigation and Port Research
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• v.44 no.2
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• pp.119-127
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• 2020

In this study, the current state of management efficiency of ocean carriers in Korea and the factors affecting them were analyzed. The purpose of this research is to enhance global competitiveness of ocean carriers by presenting suggestions that can improve management efficiency based on the analysis results. The measurement of management efficiency was made using the DEA model. The results of testing the adequacy of the input and output variables used are as follows. Appropriate inputs are total assets, cost of goods sold, charter expenses, sales and general management expenses, and interest expenses. Appropriate variables are sales, operating income, and operating cash flow. According to the analysis results of the DEA model by these variables, inefficient carriers (78%) are nearly four times more than efficient carriers(22%). However, container carriers have the most improved management efficiency compared to 2016 and 2017. According to the panel regression analysis, the charter rate has the greatest negative impact on efficiency (CRS), and the debt rate has a significant negative impact. Thus, it appears that reducing the charter size and the debt-to-sale rate facilitate improvement of the management efficiency of ocean carriers. Additionally, the pre-sales tax return rate, value added rate, total asset turnover rate, and the scale variable and interest coverage rate have a positive (+) effect. Thus ocean carriers should restore their global competitiveness by improving management efficiency by securing stable cargoes increasing sales profitability from the cost management perspective, increasing productivity, and enhancing the efficiency of their total assets through efficient fleet management.

• Journal of Families and Better Life
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• v.26 no.5
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• pp.1-14
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• 2008

The purpose of this study was to examine factors contributing to financial resources interchange type and amount of the middle aged and the elderly household. For this study, the 6th KLIPS data was used, and sample size was 1,679 households including those with head of household being over the age of 50. Statistical analysis was conducted to examine frequency, percentile, mean and standard deviation, Pearson's correlation, Anova, Duncan's multiple range test and Heckman analysis First, Interchange amount of Benefits type household was significantly different according to the householder's gender, existence or nonexistence of a spouse, age, educational background, home ownership, family type and place of residence. However, interchange amount of provide- type households were significantly different according tohouseholder's gender, existence or nonexistence of a spouse, educational background, whether retired or not, and home ownership. Second, The receptive type of households and net receptive expense of households in terms of the financial resources interchanges and the findings of Heckman analyses suggest that the variables to have a significant effect on the receptive types of financial interchanges were as gender, age, education level, retired or not, and current economics. Factors having an effects on net receptive expense were age, and family type and for the number of receptive of financial resources, whether there is the receptive of financial resources, total income, total asset. Third, The supplying type of households and net supplying expense of households in terms of the financial resources interchanges, whether or not the type of financially supplying households is significant were residential area, total income, house ownership. Factor having an effect net supplying expense were age, family type, whether there is the supplying of financial resources, family satisfaction, and house ownership.

• Health Policy and Management
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• v.6 no.1
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• pp.191-210
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• 1996

This study purported to acquire information necessary to improve the operational efficiency of general hospitals. It tried to determine major indices which represent managerial performance of general hospitals and to identify the managerial characteristics of general hospital which affect the major financial indices. 201 hospitals which were subject to standardization audit by the Korean Hospital Association were investigated and 80 hospitals were finally chosen for this study. Their financial and managerial data during the period between January 1991 and December 1991 were collected. Considering financial indices in this study were the ration of net income to total asset, income growth rate, and quick ration. The results of study are summarized as followings. First. The ration of net income to total assets and quick ration were highly related to managerial characteristics of general hospitals. Therefore, the standardization of three financial indices should be needed to systematically check the operational efficiency of general hospitals. Second, the sample hospitals can be classified as four groups on the basis of their financial indices' level. 4 of those hospitals(5.0%) showed high level of performance in terms of three financial indices and 27 of them(33.7%) showed that they are highly related to only two financial indices. 34 hospitals(42.5%) showed they have high level of relationship with only one indices and 15 hospitals(18.8%) showed very weak performance level with three indices. In addition, there is no hospitals to show mid-range level of managerial performance in relation to all three financial indices. Third, there is no significant relationship between three financial indices and the managerial characteristics of hospitals such as the number of beds, type of operation, location of hospitals, and etc. However, in the case of hospitals which have high level of managerial performance, they have more specialists and medical support personnel in comparison to low performance hospitals. They also have high level of bed occupancy rate and average length of stay(ALOS). In conclusion, the study showed the standardization of 3 financial indices are necessary to systematically evaluate the managerial performance of general hospitals and provide more accurate operational information for each hospital. To do so, it is necessary to focus on management side of hospital such as the effective human resource management and quality enhancement of medical treatment.

• Environmental and Resource Economics Review
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• v.14 no.3
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• pp.595-626
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• 2005

The purpose of this paper is to estimate technical efficiency, scale efficiency, and environmental efficiency by income level of Korean farms, and analyze the factors to decide three efficiencies. Depending on the non-parametric methods, we estimate technical using inputs and outputs of total farms without assuming of goods or behavior of optimization. The average technical efficiency of total firms under constant return to scale and strong disposability is 0.437. The technical inefficiency was caused by 47.7% in pure technical inefficiency, 11.3% in scale failure, and 3.2% in environmental inefficiency. The number of firms under increasing return to scale occupied almost 70% and 27% of total firms respectively. Higher are income class, middle debt & long debt per asset, and N effluents per cultural land, higher technical efficiency. The increases of BOD discharges per cultural land and machines per cultural land deteriorate environmental efficiency.

• Journal of Families and Better Life
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• v.20 no.6
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• pp.81-93
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• 2002

The purpose of this study is to analyze the effects of household income drops on household economic status during economic crisis periods. Using the data taken from Korean Household Panel Study for 1996 and 1998, it was investigated how household income change affected household income, expenditure, and assets/debt. The economic status change of the income-decreased group was compared with that of the income-increased group. The major findings were as follows: Average income of the total sample was 1,905 thousand won in 1996, while 1,419 thousand won in 1998. The household of which income was decreased during the period was 65.1% of total sample. Average income of the group was reduced from 2,263 thousand won to 1,239 thousand won. Among income sources, the amount of income from real asset was found to be the highest decreasing rate, and the amounts of both business and employed-work income were reduced almost up to an half of those in two years ago. The amounts for all expenditure categories were also decreased with decreasing household income. Especially the expenditures for food away from home, leisure, durable, recreation, and vehicle-related expense were found to have the highest income elasticity. The households with decreased income were found to reduce household expenditures by 377 thousand won per month, which was 70.9% of that in 1996. Decreases in household income resulted in decreases in net wealth by 10,170 thousand won. With decreases in household income, the amounts of total insurance and private savings such as gye were decreased, and so were the amounts of real assets and monetary assets.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.1
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• pp.10-25
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• 2019

This is a study on the ordering status of the cultural property repair work in Seoul, centered on the cultural property construction orders from each local government and affiliated institutions. The scope of this study is spatially based on the city of Seoul. The time range is from October 2015 to September 2017. We can grasp the scale of the cultural asset construction by recognizing the status of the cultural asset of the city and the budget available for repairing the cultural asset. By analyzing the actual situation of the cultural property construction over two years, we were able to learn the total number of orders, the ordering period, the order size and the associated order type. By analyzing the detailed data, we could grasp the actual state of each cultural property type mixing. As a result of that, it was found that one cultural property corporation had difficulty completing construction without the involvement of other types. This suggested the better contract way to a cultural property construction. This study suggests an appropriate ordering method analyzing the tendency of construction orders of cultural properties, which can be utilized as basic data for the placement of cultural property repair technicians in the field. In particular, landscape architecture is an important aspect of the cultural property construction. Despite the need to establish the status of landscaping, there are no papers describing the actual status of contract way to a cultural property construction and the status of the landscape architecture associated with them. This paper empirically reveals the facts for Seoul, and then makes a proposal to establish a complete analysis of the landscape construction business. Specifically, landscape architecture is in a position to take responsibility for the landscape of cultural asset. It is possible to propose the establishment of the status of landscape architecture and to contribute to the securing of business areas that are part of repairing cultural properties.

• Journal of Intelligence and Information Systems
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• v.21 no.3
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• pp.79-99
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• 2015

The prediction of bankruptcy has been extensively studied in the accounting and finance field. It can have an important impact on lending decisions and the profitability of financial institutions in terms of risk management. Many researchers have focused on constructing a more robust bankruptcy prediction model. Early studies primarily used statistical techniques such as multiple discriminant analysis (MDA) and logit analysis for bankruptcy prediction. However, many studies have demonstrated that artificial intelligence (AI) approaches, such as artificial neural networks (ANN), decision trees, case-based reasoning (CBR), and support vector machine (SVM), have been outperforming statistical techniques since 1990s for business classification problems because statistical methods have some rigid assumptions in their application. In previous studies on corporate bankruptcy, many researchers have focused on developing a bankruptcy prediction model using financial ratios. However, there are few studies that suggest the specific types of bankruptcy. Previous bankruptcy prediction models have generally been interested in predicting whether or not firms will become bankrupt. Most of the studies on bankruptcy types have focused on reviewing the previous literature or performing a case study. Thus, this study develops a model using data mining techniques for predicting the specific types of bankruptcy as well as the occurrence of bankruptcy in Korean small- and medium-sized construction firms in terms of profitability, stability, and activity index. Thus, firms will be able to prevent it from occurring in advance. We propose a hybrid approach using two artificial neural networks (ANNs) for the prediction of bankruptcy types. The first is a back-propagation neural network (BPN) model using supervised learning for bankruptcy prediction and the second is a self-organizing map (SOM) model using unsupervised learning to classify bankruptcy data into several types. Based on the constructed model, we predict the bankruptcy of companies by applying the BPN model to a validation set that was not utilized in the development of the model. This allows for identifying the specific types of bankruptcy by using bankruptcy data predicted by the BPN model. We calculated the average of selected input variables through statistical test for each cluster to interpret characteristics of the derived clusters in the SOM model. Each cluster represents bankruptcy type classified through data of bankruptcy firms, and input variables indicate financial ratios in interpreting the meaning of each cluster. The experimental result shows that each of five bankruptcy types has different characteristics according to financial ratios. Type 1 (severe bankruptcy) has inferior financial statements except for EBITDA (earnings before interest, taxes, depreciation, and amortization) to sales based on the clustering results. Type 2 (lack of stability) has a low quick ratio, low stockholder's equity to total assets, and high total borrowings to total assets. Type 3 (lack of activity) has a slightly low total asset turnover and fixed asset turnover. Type 4 (lack of profitability) has low retained earnings to total assets and EBITDA to sales which represent the indices of profitability. Type 5 (recoverable bankruptcy) includes firms that have a relatively good financial condition as compared to other bankruptcy types even though they are bankrupt. Based on the findings, researchers and practitioners engaged in the credit evaluation field can obtain more useful information about the types of corporate bankruptcy. In this paper, we utilized the financial ratios of firms to classify bankruptcy types. It is important to select the input variables that correctly predict bankruptcy and meaningfully classify the type of bankruptcy. In a further study, we will include non-financial factors such as size, industry, and age of the firms. Thus, we can obtain realistic clustering results for bankruptcy types by combining qualitative factors and reflecting the domain knowledge of experts.

• Journal of the Korean Home Economics Association
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• v.42 no.11
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• pp.205-222
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• 2004

The purposes of this study were to examine urban household's monthly expenses for public pension and to analyze the contributing factors. Data for this study were from the 2002 Urban Household Survey and consisted of a sample of 21,093 urban households. Statistics used for the analysis were frequencies, means, ANOVA and multiple regression analysis. The major findings were as follows ; First, the average urban household monthly payment for the public pension was 104,036 won, consisting of 102,757 won for single earner households and 106,014 won for dual earner households. Second, the highest expenses for monthly public pension was urban households, followed by male household head(HH), HH's age from 41-50 years, HH's educational level was college, HH's job was public servant, family didn't live in Seoul, family w3s an extended family and family owned the house. Third, the significant factors affecting the urban household's monthly public pension were HH's gender, age, educational level, type of job, region, type of family, number of children, type of earner, monthly total income, increase of asset in a month and house ownership.

• Korean Journal of Human Ecology
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• v.11 no.1
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• pp.31-43
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• 2002

The purpose of this study was to examine the financial status of the small business households, and to analyze their investment behaviors according to socio-economic variables like age, income, education, job satisfaction, and region. The size of total sample was 2167 with basis of data analysis of Korean Household Panel Study from Daewoo Economic Research Center. Descriptive Statistics were used to analyze their financial status according to the socio-economic variables. The results showed that small business family's financial status was differentiated according to age, income, job satisfaction, and region. Households' investment on the primary financial institute such as bank was differentiated by income, level of education, and job satisfaction. The amount of investment on secondary financial institute such as mutual fund was differentiated by income, age, and region. The households' investment for insurance was affected by all socio-economic variables except region and not significantly different according to socio-economic variables for stock and bonds. The amount of net-asset for households was affected by the level of education, age, and income and the amount of debt most by age and income. The results of this study was useful to develop the estimation tool for the small business households credit and also provides the basic informations for the financial assistance of those households.

• Journal of Navigation and Port Research
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• v.44 no.5
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• pp.400-406
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• 2020

In this study, we first measured the malmquist productivity index by DEA among the Korean public firms. Second, there are 12 public corporations whose productivity (MPI) has decreased compared to 2014. This is mainly because of a decrease in productivity, as well as a decrease in the technical efficiency change index (TECI), impacted by the internal environment, and the increase in productivity because of an increase in the technology change index (TCI) impacted by the external environment. Finally, the analysis of the impact on the management assessment scores showed that the productivity (MPI), scale efficiency (CRS), size of sales, operating profitability, and total capital investment efficiency are significantly related (+), except for the asset turnover, which is a static financial ratio. Meanwhile, the management evaluation scores between the high-productivity public corporations and low-performing public corporations were significantly discriminating. Thus, it is confirmed that the nation's state-run companies must manage their MPIs in a time series to score high in management evaluation.