• Journal of the Korean Home Economics Association
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• v.38 no.7
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• pp.13-26
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• 2000

The purpose of this study were to identify the financial status of the home based business, and to analyze the factors effected on it. The sample consisted of 713 self-employed from data of 1998 Korea Household Panel Study, and analyzed into Frequencies, Percentile, t-test, $\varkappa$$^2$-test, and Regression Analysis. The findings showed that the household income and expenditure level of female self-employed was higher than those of male self-employed. In case of financial status of business, male self-employed's net profit was higher than female's and the net profit to total sales ratio of male self-employed was greater than female's. The factors contributing to total expenditure to total income ratio were sex, educational level, future economic expectancy, residence and home ownership of self-employed, while the factor effect on total asset to total debt ratio was only total household income. The Variables of sex, educational level of self- employed, job type of home based business and the number of employees in home based business were associated with net profit to total sales ratio, age and educational level of serif-employed, and job type of home based business was related to total sales to the number of emploees ratio(labor productivity).

• Korea Journal of Hospital Management
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• v.7 no.3
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• pp.25-43
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• 2002

This study focuses on the factors that make the financing decision of private hospitals in Korea. Data used in this study were collected from 98 hospitals with complete general data of current status as well as financial statements. They were chosen from the 138 hospitals that passed the accreditation process by the Korean Hospital Association from 1996 to 2000 for the purpose of accrediting training hospitals. The dependent variables in this study consist of total liabilities to total assets, borrowings to total assets. The independent variables are ownership, hospital type, teaching status, location, bed size, period of establishment, asset structure, profitability, growth, tax shields, volatility of profit, competition(market concentration), and other factors. The major findings of this study are as follows. The factors found to have significant effect on liabilities to total assets are teaching status(-), asset structure(-), profitability(-), tax shields(+), and business risk(-). University hospitals have less liabilities than the non-university hospitals. It was also confirmed that high profitability, high fixed asset, high volatility of profit and low tax shields results in decrease in liabilities. The factors that significantly affect on borrowings to total assets are teaching status(-), period of establishment(-), volatility of profit(-) and competition(+).

• The Journal of Fisheries Business Administration
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• v.47 no.1
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• pp.47-61
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• 2016

This study is aimed to analyze economical meaning and problems on the industrial differentiation of Korean laver industry. Based on the surveyed data, the export value of korean laver has increased over 28 times for last 20 years($10 million to $300 million) and the separation of farming and processing was an important success factor of rapid growth of korean laver industry. However, the result of the survey shows that the farming profit is 534.1 won out of the total price for a bunch of dried laver, 3,566.3 won. So, farming profit counts for just 15 percent of total price. In contrast, the processing profit is 1,143.5 won and it is 32.1 percent of total price. This means that laver farmers are not being guaranteed their profit properly. This phenomenon is occurred due to lower status of first-hand processors(which produce dried laver) to second-hand processors(which produce seasoned laver) due to advanced payment given by second-hand processors. So, fist-hand processors should provide their product in the price which was designated by second-hand processors. Besides, despite of many business risks caused from climate change and environmental pollution, the market price of raw laver has steadily decreased. For sustainable prosperity of korean laver industry, imbalance on korean laver industry concerning profit sharing is need to be changed. In future, self-processing of dried laver in fishery household and enhancing the role of The Fisheries Cooperative Union in laver industry can be considered.

• The Korean Journal of Health Service Management
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• v.7 no.3
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• pp.161-176
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• 2013

This research analyzed Raise Capital type and Investment Efficiency for non-profit hospitals in Korea. 152 cases of financial information from 2007 to 2010 were utilized for analysis. As a result of analysis, Raise Capital for Borrowings to total assets was primarily used, taking around 40% on average, and the method of Raise Capital with significant difference among Medical Institutions was Liabilities in Excluded Borrowings to Total Assets and Capital Stock & Capital Reserves to Total Assets. Besides, the relation between Invested capital and Investment efficiency was opposite each other in the non-profit hospitals, and Region was an important element influencing over Productivity per Value Added. In addition, in the investment activity of non-profit hospitals in the light of Investment Efficiency, only hospitals among Medical Institution types had a character of Capital Intensive, and General Hospital and Geriatric & Long-term Medical Care Hospital among Medical Institution types showed a character of Labor Intensive in the light of Performance.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.21 no.45
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• pp.201-213
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• 1998

We address the problem of choosing the most economic mean value for an automatic filling operation on a production line through the sampling inspection. If quality characteristic of a unit is less than inspection specification then the goods is not accepted. Otherwise, it is accepted. The lots that the numbers of non-conforming units in a sample are larger than the allowable number of non-conforming units are rejected. The non-conforming units in the rejected lots are separated by the screening inspection. The non-conforming units separated are sold in discount price. We assume that quality characteristic is larger-the-better characteristic, the distribution of quality characteristic is normal distribution, and the standard deviation of the distribution is known. This paper presents total expected profit function model considering sales revenue, inspection costs, and material costs. The manufacturing process mean value maximizing total expected profit is determined, and the results of the process target value and total expected profit is analyzed as coefficients change.

• Korea Journal of Hospital Management
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• v.10 no.3
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• pp.45-66
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• 2005

The purpose of this study was to analyze related factors affecting profitability on general hospitals(300-499 beds). The data were derived from survey by the Korean Hospital Association on 33 hospitals during 10 years (from 1993 to 2002). Profitability was measured by 3 ratios - net profit to total assets, normal profit to total assets and operating margin to gross revenue - as dependent variables. Independent variables were classified by general factors (ownership, number of bed, period of establishment, region), financial factors (total asset turnover, current ratio, liabilities to total assets, personnel costs per operation profit, material costs per operation profits), productivity index(number of daily patient per nurse), the score of quality assurance activity and the time lag score. Multiple regression model was used in this study. First, Number of bed, region was not statistically significant for profitability. But ownership was affect positively to normal profit to total assets and operating margin to gross revenue. Private hospitals had higher profitability than that of public hospitals Second, the score of quality assurance activity was not statistically significant to profitability. Third, Those hospitals having more daily patient per nurse had significantly higher profitability than the others. Fourth, Those hospitals having higher proportion in total asset turnover had significantly higher profitability than other hospitals. But liabilities to total assets and liquidity ratio had no difference to the profitability. Those hospitals having higher proportion in personnel costs and material costs per operation profits had significantly lower hospital profitability than others.

• Health Policy and Management
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• v.9 no.2
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• pp.1-20
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• 1999

This study was conducted to investigate the predictors of hospital bankruptcy in Korea and to examine the predictive power for 3 types of statistical models of hospital bankruptcy. Data on 17 financial and 4 non-financial indicators of 30 bankrupt and 30 profitable hospitals in 1. 2, and 3 years before bankruptcy were obtained from the hospital performance databank of Korea Institute of Health Services Management. Significant variables were identified through mean comparison of each indicator between bankrupt and profitable hospitals, and the predictive power of statistical models of hospital bankruptcy were compared. The major findings are as follows. 1. Nine out of 21 indicators - fixed ratio, quick ratio, operating profit to total assets, operating profit to gross revenue, normal profit to total assets,normal profit to gross revenue, net profit to gross revenue, inventories turnrounds, and added value per adjusted patient - were found to be significantly predictitive variables in Logit and Probit models. 2. The predicdtive power of discriminant model of hospital bankruptcy in 1. 2, and 3 years before bankruptcy were 85.4, 79.0, and 83.8% respectively. With regard to the predictive power of the Logit model of hospital bankruptcy, they were 82.3, 75.8, and 80.6% respectively, and of the Probit model. 87.1. 80.6, and 88.7% respectively. 3. The predictive power of the Probit model of hospital bankruptcy is better than the other two predictive models.

• Industrial Engineering and Management Systems
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• v.8 no.1
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• pp.1-13
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• 2009

This paper presents a coordinated planning model of price-dependent demand for a single-manufacturer and a single-retailer. The demand is assumed to be normally distributed, with its mean being price dependent. The manufacturer and retailer coordinate with each other to jointly and simultaneously determine the retail selling price and the retailer order quantity to maximize the joint expected total profit. This model is then compared to a 'returns' policy model where manufacturer buys back unsold items from the retailers. It is shown that the optimal total profit is higher for coordinated planning model than that for the returns policy model, in which the retail price is set by the retailer. A compensation or profit sharing scheme is then suggested and it is shown that the coordinated model with profit sharing yields a 'win-win' situation. Numerical results are presented to illustrate the profit patterns for both linear and nonlinear demand functions. The coordinated planning model, in addition, has a lower optimal price than for a returns policy model, which would result in higher sales, thus expanding the markets for the whole supply chain.

• Health Policy and Management
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• v.18 no.4
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• pp.148-169
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• 2008

As the Korean Government began to perceive healthcare as one of foundational industries for national dynamics, there has been mounting advocacy for the introduction of for-profit hospitals with a view to bringing efficiency in healthcare services industries and improvement of their international competitiveness. The Government is now considering the issue from all angles in favor of permitting for-profit hospitals. However, There have been few precedent studies on this subject to provide helpful data for the discussion and in the health policy making. This study used private hospitals - for-profit and nonprofit - in Florida, USA as study subjects to accumulate basic data that may be utilized for those involved in debates and health policy making relating to the introduction of for-profit hospitals in Korea. Among all the private general hospitals in Florida, those surveyed by AHA(American Hospital Association) for four consecutive years from 2001 and 2004 and others reported about to MCR(Medicare Cost Report) included in the collected data for analysis. In total 139 private general hospitals consisting of 73 for-profit hospitals and 66 nonprofit hospitals were included in the collected analysis data. Results of analysis revealed no significant difference between for-profit hospitals and nonprofit hospitals in the usage aspects of healthcare services including the average length of stay and the ratio of Medicare vs Medicaid patients. However, financial performances indicated by such factors. as the pre-tax return on assets and the pre-tax operating margin showed to be significantly higher in for-profit hospitals compared with nonprofit hospitals. And the ratio of personnel expenses and the turn period of total assets showed to be significantly lower in for-profit hospitals. Based on the hypothesis that arguments about the introduction of for-profit hospitals have considerably different viewpoints depending on the size of hospital represented by the number of bed, these two hospital types were compared again using the number of beds as a controlled factor, but the results were similar. We, therefore, could conclude that the for-profit hospitals in Florida included in this study could, in their for-profit operation, improve their financial performance by pursuing cost reduction and effectively utilizing their assets without limiting the amount and the range of their services or avoiding less medically protected groups such as Medicare and Medicaid patients.

• The Korean Journal of Health Service Management
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• v.14 no.2
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• pp.15-27
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• 2020

Objectives: The purpose of this study is to compare analysis of financial performance in university hospitals. Methods: Data from 2005 to 2017 were collected from income statement, balance sheet, and annual reports in 23 university hospitals. The dependent variables are used financial performance, namely, medical profit to total assets, medical profit to medical revenue, and net profit to medical revenue. The independent variables are establishment type, hospital province, bed, open liquidity, stability, and activity. Results: From 2005 to 2007, university hospitals steadily increased medical revenues, nonmedical revenues, medical profit, net profit, and reserve fund for essential business by investing fixed assets using financial leverage. From 2015 to 2017, the debt ratio was minimized based on existing management performance. Results showed that university hospitals maintained high profitability by actively investing in medical equipment, medical environment, and facilities using reserve fund for essential business. Conclusions: Results suggest that this will be the basic data for efficient management of university hospitals.