The purpose of this study is to investigate empirically the characteristics of financial structure by using 76 fisheries corporations in Korea, and to suggest implications of the empirical results for government's financial policy for fisheries corporations. For the empirical test, we choose the following factors as the explanatory variables of cross-sectional regression analysis:firm-size(SIZE), collateral value of assets(TFATA), business risk(BRISK), growth(GROWTH), effective tax(ET), profitability(PROFIT). Two different debt ratios are used as dependent variables. One is defined as the ratio of total debt to total assets and the other is as that of long-term debt to total asset in terms of book value. The sample consists of 76 fisheries firms and sample period is 14 years from 1982 till 1995. From the results of cross-sectional regression analysis, the adjusted R$^2$values were high, 16∼79% and the overall F values indicated to be statistically significant. The results of cross sectional regression analysis show that the characteristics of financial structure fur fisheries corporations are as follows ; (1) Firm-size and collateral value of assets are the major factors of financial structure for fisheries corporations. That is, the larger firm-size the higher is debt ratio. This means that financial institutions conventionally lend more collateral loans with fixed assets like land, building rather than management capacities or credits. (2) To be consistent with a pecking-order theory, the higher is profitability the lower is debt ratio in fisheries corporations. (3) Corporations with high effective tax rate have lower financial leverage. Although the empirical results are inconsistent with traditional static trade-off theory, we think it would be attributed to government's various tax shelterings for fisheries which are likely to reduce tax shield effect of interests.
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.
This paper uses super-efficiency DEA model and Malmquist index to evaluate the carbon emission efficiency (CEE) values of the nine western provinces along the "Silk Road Economic Belt" for the period from 2000 to 2015, and analyses the influencing factors of the CEE. The major findings of this study are the following: (1) the overall CEE of the nine western provinces is not high, and there are significant inter-provincial differences in the CEE. Meanwhile, the provinces with higher levels of economic development generally have higher CEE. (2) The annual total factor productivity (TFP) of the nine western provinces, which is mainly determined by technological change, is greater than 1. Moreover, the total average growth rate of the TFP is 15.5%. (3) The CEE of the nine western provinces is not spatially dependent. In addition, the urbanization, openness, use of energy-saving technologies and research and development (R&D) investment have a significant positive impact on the CEE values, while the industrial structure, foreign direct investment, fixed asset investment, government expenditure levels and energy structure have a significant negative impact on the CEE. Among them, R&D investment is the primary factor in promoting the development of CEE, and the government expenditure has the greatest negative impact on the CEE.
Purpose - This paper investigates whether managerial overconfidence is associated with firm-specific crash risk. Overconfidence leads managers to overestimate the returns of their investment projects, and misperceive negative net present value projects as value creating. They even use voluntary disclosures to convey their optimistic beliefs about the firms' long-term prospects to the stock market. Thus, the overconfidence bias can lead to managerial bad news hoarding behavior. When bad news accumulates and crosses some tipping point, it will come out all at once, resulting in a stock price crash. Research design, data and methodology - 7,385 firm-years used for the main analysis are from the KIS Value database between 2006 and 2013. This database covers KOSPI-listed and KOSDAQ-listed firms in Korea. The proxy for overconfidence is based on excess investment in assets. A residual from the regression of total asset growth on sales growth run by industry-year is used as an independent variable. If a firm has at least one crash week during a year, it is referred to as a high crash risk firm. The dependant variable is a dummy variable that equals 1 if a firm is a high crash risk firm, and zero otherwise. After explaining the relationship between managerial overconfidence and crash risk, the total sample was divided into two sub-samples; chaebol firms and non-chaebol firms. The relation between how I overconfidence and crash risk varies with business group affiliation was investigated. Results - The results showed that managerial overconfidence is positively related to crash risk. Specifically, the coefficient of OVERC is significantly positive, supporting the prediction. The results are strong and robust in non-chaebol firms. Conclusions - The results show that firms with overconfident managers are likely to experience stock price crashes. This study is related to past literature that examines the impact of managerial overconfidence on the stock market. This study contributes to the literature by examining whether overconfidence can explain a firm's future crashes.
This study examines information efficiency of financial information on the firm value for the listed manufacturing companies in Korea stock market in terms of timing pattern of information. We set 3 different test periods based on the financial statement released years - the current year, 90 days before financial statement announcement and the next year. We introduce using the stepwise regression method to examine the effect of financial variables on the stock returns. The financial variables include profitability ratio, growth ratio, stability ratio, activity ratio and market valuation ratio. The results of the study showed that both growth and profitability ratio affected the current year stock returns, while stability and activity ratio affected the next year stock returns. Growth rate of total asset affects both current year and next year stock returns. Our findings imply that the period in which financial information is reflected in the firm value, could vary with the characteristics of financial information.
The purpose of this paper is to study the effect of the corporate social responsibility by port operation organization on the brand asset, reputation and relationship performance perceived by interested parties. To achieve such a purpose, literature survey on various research papers and thesis, research report is carried out and also reliability analysis, validity test and multiple regression analysis using SPSS 18.0 are used. To verify a established research model for empirical analysis and hypotheses, questionnaires are distributed to the port operation organization, terminal operators, shipping companies and NGO. Total 414 copies of questionnaires were collected and used in this analysis. The main results of the study are summarized as below. First, it was confirmed that social responsibility of the port operation organization are classified into three categories; economic, legal, and charitable and ethical responsibility. Second, economic responsibility has a positive impact on the brand awareness and reputation. Third, legal responsibility has a positive impact on the trust and commitment. Fourth, charitable and ethical responsibility has a positive impact on brand image and awareness, reputation, trust and commitment. Further additional empirical research can be extended by distributing more questionnaires including several port operation organizations in Busan and Incheon.
DANG, Hang Thu;PHAN, Duong Thuy;NGUYEN, Ha Thi;HOANG, Le Hong Thi
The Journal of Asian Finance, Economics and Business
/
v.7
no.9
/
pp.11-18
/
2020
This paper analyzes factors affecting enterprise's financial risk listed on the Vietnam stock market. The panel data of research sample includes 524 non-financial listed enterprises on the Vietnam stock market for a period of eleven years, from 2009 to 2019. The Generalized Least Square (GLS) is employed to address econometric issues and to improve the accuracy of the regression coefficients. In this research, financial risk is measured by the Alexander Bathory model. Debt structure, Solvency, Profitability, Operational ability, Capital structure are independent variables in the study. Firm Size, firm age, growth rate are control variables. The model results show that in order to prevent and limit financial risk for enterprises listed on the Vietnam Stock Market, attention should be paid to variables reflecting Liability structure ratio, Quick Ratio, Return on Assets, Total asset turnover, Accounts receivable turnover, Net assets ratio and Fixed assets ratio. The empirical results show that there are differences in the impact of these factors on the financial risk in state-owned enterprises and non-state enterprises listed on the Vietnam stock market. The findings of this article are useful for business administrators, helping business managers make the right financial decisions to improve the efficiency of financial risk management in enterprises.
DAO, Oanh Le Kieu;HO, Tuyen Thi Ngoc;LE, Hac Dinh;DUONG, Nga Quynh
The Journal of Asian Finance, Economics and Business
/
v.8
no.3
/
pp.1171-1180
/
2021
This study aims to investigate the impact of the multimarket contract on risk-adjusted profitability. Risk-adjusted profitability is measured in terms of risk-adjusted return on assets. This study employs dynamic panel data of 27 commercial banks in Vietnam using the GMM estimator to test the multimarket contact hypothesis in the Vietnamese banking sector. The results show that there is a negative impact of multimarket contact on the profitability of banks. Multimarket contact, deposit to asset ratio, non-interest income to total income, GDP growth rate, Worldwide Governance Indicator (WGI), and operating cost to assets are the major determinants of risk-adjusted profitability of commercial banks. Our main findings show that Vietnamese banks' focus to increase the multimarket contact may lead to lower profitability and there is evidence that supports theory predictions, since the average number of contacts among banks, bank size, and capitalization are positively related to risk-adjusted profitability. The study has policy implications for commercial banks in that they should not only focus on interest as a source of income and diversify their income source from non-interest income as well since it helps to improve risk-adjusted profitability for them.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.17
no.3
/
pp.19-31
/
2022
Currently, the role of public accelerators in the domestic accelerator market is gradually expanding. Accordingly, in order to establish relevant policies properly, it is necessary to check the effect and validity of public accelerators' investment. However, there is no quantitative research conducted on domestic accelerators, using their financial data, as domestic accelerators have a short history and quantitative data on them are not disclosed. Therefore, this study conducted an empirical analysis with financial data of the startups that received equity investments from public accelerators to confirm the effect of public accelerators'investment in startups. A regression analysis was conducted with financial data from 112 startups that acquired investments from public accelerators in the period of 2016~2020. And the findings are as follows: First, it was found that the initial investment of public accelerators had an effect on the growth and profitability of startups. Specifically, it was confirmed that the initial investment of public accelerators had a positive (+) effect on sales growth rates and total asset growth rates, which are growth indicators. Second, it was found that the joint investment of public accelerators had a significant positive (+) effect on profit margin, an indicator of profitability, rather than on growth. Therefore, it is deemed that it will be a great force for growth if investment in the early-stage startups that showed significant investment results in this study is continuously expanded in combination with support projects, which are a strength of public accelerators. Since this study has confirmed the investment effect of public accelerators, it is deemed necessary to actively promote policies that direct public accelerators' projects toward improving the performance of startups through joint investment with the private sector and supplementing private accelerators' deficiencies.
In Korea, the game software and service industry is the core cultural industry from it's significant academic and policy. However, recent growth is slowing down because of increasing competition in the industry. In other words, most of the companies growth have reached limit caused by focusing only on short-term revenue-generating management, Therefore, the game software and service companies are needed to emphasize strategic planning of R&D and product development based on the long-term perspective. The purpose of this analysis is to measure the efficiency of management by data envelopment analysis(DEA), using data from 20 companies in the game software and service industry. Input variances are number of labor, total asset, and total investment and output variances are total sale and enterprise value. The results are followings: First, There was a different efficiency between the companies in the game software and service industry. The eight companies was inefficiency. Second, six inefficiency companies were excessive number of the employees and investment assets. third, four companies were CRS, five companies were IRS and eleven companies were DRS. From the result, five companies have to increase the scale of input variance and eleven companies also have to improve efficiency of input variance.
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