• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.548-561
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• 2021

Manufacturing is a pillar industry for national economic growth. Analyzing the internal problems of manufacturing enterprises can solve the difficulties faced by manufacturing enterprises and improve the overall performance of manufacturing enterprises.This study selected 1,546 listed manufacturing companies in Shenzhen and Shanghai stock markets from 2009 to 2015, and empirically analyzed the relationship between fixed assets and corporate performance by using the fixed effect model and the two-way fixed effect model.The study finds 1) the scale of fixed assets has a negative effect on corporate performance. 2) the quality of fixed assets has a weak positive relationship with fixed assets. 3) the growth rate of fixed assets impacts corporate performance positively.

• Korea Journal of Hospital Management
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• v.1 no.1
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• pp.21-36
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• 1996

The purpose of this study is to evaluate the level of fixed assets management of the factors affecting its management level. The surveyed data were gathered from 105 general hospitals among 263 general hospitals nationwide. The level of fixed assets management was measured by 11 dimensions of assets management. The results were as follows : 1. According to general characteristics of hospitals, the management level of public hospitals and corporatized hospitals was better than that of private hospitals. The management level was better as increasing beds. 2. In the structural characteristics of assets management, the management level of the hospitals which had the responsible person for assets management was better than that of the hospitals which had not. 3. In the operating characteristics of assets management, the hospitals that conducted education for the job had better level of assets management that did not it. The hospital that the discard of assets was decided by engineering department or management department were better in management level than the hospitals that it was decided by user department. The management level of hospitals which were computerized for assets management was better. 4. In the full model, the most factors affecting the level of assets management were the factors that were characterized by operation pattern of assets management, and the operating characteristics of assets management were explained to 23.1% of total 45.7%. Conclusively, the level of assets management was mostly affected by the operating characteristics of assets management which were education for the job, discard decision not by user department, computerization for assets management. Therefore, hospitals perform education of the job, discard decision by engineering or management department, and computerization for better level of fixed assets management

• The Korean Journal of Health Service Management
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• v.10 no.3
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• pp.13-25
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• 2016

Objectives : The purposes of this study was to analyze business performance of university hospitals for the past 10 years. Methods : Management and finance data from 2005 to 2014 were collected from balance sheets, income statements and annual reports from 27 university hospitals. The dependant variable used was profitability which included return on assets, operating margin and net profit to gross revenues 1. The independent variables were general characteristics, liquidity, stability, activity and financial ratios. Results : University hospitals over the last 10 years had achieved good management performance. Using financial leverage, patient revenues, operating profit, nonpatient revenues, total assets and total debt, the total amount had increased by more than double. The ratio of fixed liability and fixed assets turnover was found to have a significant positive (+) effect on management performance in the years 2012-2014. Conclusions : Based on these results, this study suggests a more in-depth analysis using fixed liabilities and fixed assets.

• Health Policy and Management
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• v.12 no.4
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• pp.1-17
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• 2002

This study was attempted to identify the liquidity trends and determinants of private hospitals in Korea different. Data used in this study were collected from 98 hospitals with complete general data of present conditions as well as financial statements(balance sheets, income statements). They were chosen from hospitals that passed the standardization audit undertaken by the Korean Hospital Association from 1996 to 2000 for the purpose of accrediting training hospitals. The dependent variables in this study were used current ration and quick ratio as a proxy indicator for liquidity. The independent variables were ownership type, hospital type, location, bed size, period of establishment, short-term liabilities to total assets, long-term liabilities to total assets, borrowings to total assets, fixed asset ration, net profit to total assets, operating margin to gross revenue, growth rate of net worth to total assets, total asset turnover, and business risk(volatility of profit). The major findings of this study were as follows. Trends of liquidity(current ratio, quick ratio) had been continuously decreased. Especially, There were very distinct decreasing trends of personal hospitals and less than 300beds, which weakened liquidity. The factors had significant effect on current ratio were short-term debt to total assets(-), fixed asset ratio(-), business risk(+). High short-term debt to total assets, high fixed asset ratio and high business risk significantly decreased in liquidity. The factors that significantly affected on quick ratio were short-term debt to total assets(-), borrowings to total assets(+), fixed asset ratio(-), business risk(+).

• Journal of Environmental Policy
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• v.9 no.4
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• pp.29-52
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• 2010

This paper analyzes the firm's financial characteristics, influence over the adoption of the ISO 14001 adoption in our analyses. We used the T-test, a logistic regression analysis. We chose 112 Steel Enterprises from Korea Accreditation Board. The independent variables are current ratio, debt ratio, fixed assets to net worth and fixed liabilities, gross margin on sales, total assets turnover, net sales growth rate. This study tests three hypotheses on management performance of adoption of ISO 14001. The main findings are as follows. The first hypothesis is supported in terms of debt ratio, fixed assets to net worth and fixed liabilities, net sales growth rate at the 1%, 5%, 5% significance level. The second one is supported in terms of current ratio, debt ratio, fixed assets to net worth and fixed liabilities at the 10%, 1%, 1% significance level. The third one is supported in terms of gross margin on sales, total assets turnover at the 1%, 10% significance level. These findings have important implications

• Health Policy and Management
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• v.18 no.2
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• pp.19-38
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• 2008

Financial ratios are key indicators of an organization's financial and business conditions. Among various financial indicators, profitability, financial structure, financial activity and liquidity ratios are frequently used and analyzed. Using the structural equation modeling(SEM) technique, this study examines the structural causal relationships among key financial indicators. Data for this study are taken from complete financial statements from 142 hospitals that passed the standardization audit undertaken by the Korean Hospital Association from 1998 to 2001 for the purpose of accrediting teaching hospitals. In order to improve comparability, ratio values are standardized using the Blom's normal distribution. The final model of the SEM has four latent constructs: financial activity(total asset turnover, fixed asset turnover), liquidity(current ratio, quick ratio, collection period), financial structure(total debt to equity, long-term debt to equity, fixed assets to fund balance), and profitability(return on assets, normal profit to total assets, operating margin to gross revenue, normal profit to gross revenue). While examining several model fit indices(Chi-square (df) = 178.661 (40), likelihood ratio=4.467, RMR=.11, GFI=.849, RMSEA=.157), the final SEM we employed shows a relatively good fit. After examining the path coefficient of the constructs, the financial structure of the hospital affects the hospital's profitability in a statistically significant way. A hospital which utilizes its liabilities, more specifically fixed liabilities, and makes a stable investment decision for fixed assets was found to have a higher profitability than other hospitals. Then, the standard path coefficients were examined to directly compare the influence of variables. It was found that there were no statistically significant path coefficients among constructs. When it comes to variables, however, statistically significant relationships were found. between. financial activity and. fixed. asset turnover, and between profitability and normal profit to gross revenue. These results show that the observed variables of fixed asset turnover and normal profit to gross revenue can be used as indicators representing financial activity and profitability.

• Korea Journal of Hospital Management
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• v.9 no.2
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• pp.102-127
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• 2004

The objective of this study is to analyze a current trend of and relating factors on profitability of the Korean Public Corporation Medical Centers(KPCMCs, hereinafter, hospitals) in Korea. There are 34 hospitals in Korea as of 2004. Among these hospitals some are red ink hospitals, others are black inks in terms of profitability. Data were collected by Korea Health Industry Development Institute(KHIDI) Statistics for Hospital Management 2000-2002 and Ministry of Health and Welfare(MOHW) financial data of public hospitals which was planned to coordinate public health care services roadmap in the long run. The samples are 32 hospitals. Profitability was measured in the aspect of profit rate with normal profit to total assets, and normal profit to gross revenues as dependent variables in respective. Independent variables were classified by general factors, i.e., location, intern/resident training, period of opening, number of beds, and managerial factors(current ratio, fixed ratio, liability to total assets, total assets turnover, personnel costs, materials cost, administrative cost), and finally factors related to patient treatment(average length of stay, bed occupancy rate, admission ratio of outpatients). The methods of analysis are correlation and multiple regression analysis. This study shows firstly, a lot of hospitals are optimal current ratio. Hospitals in upper 100% current ratio are 81.2%. And the personnel cost in total costs are high. Secondly, the trend of normal profit to gross revenues of hospitals are deteriorating gradually. And lastly, as a result of multiple regression analysis, the factors had on significant effect on normal profit to total assets are fixed ratio(+), liability to total assets(-), bed occupancy rate(+), admissions of outpatients(+), etc. And the factors had on significant effect on normal profit to gross revenues are current ration(+), fixed ratio(+), personnel cost(-), administrative expenses(-), admissions of outpatients(+), etc. In conclusion, to improve the profitability of hospitals, the efforts to reduce personnel cost and average length of stay might be needed. And also beds utilization rate need to be increased.

• International Journal of Contents
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• v.5 no.1
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• pp.37-45
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• 2009

This paper empirically tests pecking order theory. Korean listed firms are used as the samples. On the whole we find supportive results for pecking order theory. The fixed effect model on the whole period shows that as pecking order theory suggests that debt ratio decreases as cash flow. ROA, physical assets, and firm size increase. Again, it is shown that corporate debt ratio significantly decreases as cash flow or ROA increases in every sub-sample, which coincides with the prediction of pecking order theory. Corporate debt ratio significantly decreases as physical assets or jinn size increases in case of the whole sample, pre-financial crisis period, and the sub-samples by q-ratio, which also supports the prediction of pecking order theory. Statistical significance of the coefficients of physical assets or firm size completely disappears after Korean financial crisis. Perhaps it is because the role of physical assets or firm size as a mitigator of information asymmetry significantly weakens after the financial crisis as Korean financial market becomes more transparent. For small firms only size variable is negatively and significantly related with debt to assets. It seems that size is an important factor for smaller firms in making financing decision.

• The Korean Journal of Health Service Management
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• v.11 no.3
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• pp.1-11
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• 2017

Objectives : The purpose of this study was to analyze factors affecting the performance of public hospitals in South Korea. Methods : We collected management performance data from 2013 to 2015 from income statements, balance sheets, and annual reports from 32 local public hospitals. The dependent variable used was profitability, which included operating margin, return on assets and net profit to gross revenues. The independent variables were general characteristics, liquidity, stability, and activity. Results : Patient revenues, total assets, and total capital had increased steadily but patient expenses had increased to a greater extent. Operating profit, and net profit were consistently in deficits and the management status of local public hospitals had recently been in difficulty. The debt ratio, quick ratio, ratio of fixed liability and fixed assets turnover rate have a significant positive(+) effect on performance in the years 2013-2015. Conclusions : We suggest management strategies for these hospitals based on the results analyzed.

• East Asian Journal of Business Economics (EAJBE)
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• v.7 no.4
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• pp.41-49
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• 2019

Purpose - This paper empirically investigates what factors contribute to corporate investments under financial constraint condition in the Korean stock market. In the paper, tangible assets' growth rate and fixed assets' growth rate were employed as investment performance and total assets were also used for comparison purpose. Research design and methodology - Samples are constructed by manufacturing firms listed on the stock market of Korea as well as those who settle accounts in December from 2001 to 2018. Financial institutions are excluded from the sample as their accounting procedures, governance and regulations differ. This study adopted a fixed panel regression model to assess the sample construction including yearly and cross-sectional data. Results - This results support the literatures that major shareholders showed positive significance to investment in financially unconstrained firms and no significance to investment in financially constrained firms. ROA showed positive significance to investment in financially unconstrained and constrained firms, whereas firm size showed negative significance to investment in financially unconstrained and constrained firms. Debt showed no positive significance to investment in financially unconstrained firms and negative significance to investment in financially constrained firms. Conclusions - This paper documented evidence that ROA and firm size are important factors to investment irrespective of firms' financial constraints. And this paper also supports that major shareholders give positive impact to investments in financially unconstrained firms. This means that financial constraints itself rule corporate' investment decision in financially constrained firms.