• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.217-227
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• 2021

This study aims to examine the effect of institutional ownership, independent board of commissioners, audit committee, and profitability (RNOA) on tax avoidance in banking companies listed on the Indonesia Stock Exchange over the 2014-2018 period. The sampling method employed in this study was the cluster sampling method. The population was all banking companies listed on the Indonesia Stock Exchange for the period 2014-2018. The sample selection results using the purposive sampling method during the observation includes 209 companies that published complete annual reports and their financial report notes as of December 31, 2018. The results revealed that institutional ownership and independent board of commissioners did not affect profitability. Profitability also did not affect tax avoidance. Further findings showed that institutional ownership and audit committee positively affect tax avoidance. From the result of Sobel test, this study indicated that profitability cannot mediate the effect of institutional ownership, independent board of commissioners, and audit committee on tax avoidance. This study has succeeded in proving empirically that there was a significant effect of the audit committee on profitability, institutional ownership on tax avoidance, and the audit committee on tax avoidance. Therefore, this study supports the agency theory and the research model from previous studies.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.38-45
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• 2017

As the competitiveness of SMEs (small and medium enterprises) is getting more and more improved and globalized, the government provides various consulting services to secure the competitiveness of small and medium firms and support stable growth. However, the assessment of the result from the government's support is generally focused on non-financial factors, such as customer satisfaction and analysis of improvement effect. This paper is in regards to the statistical analysis of how much the government's support in the form of providing consulting services contributes to financial outcomes in terms of profitability and growth. ROA (return on asset) and ROS (return on sales), which are investment profitability and sales profitability respectively, are chosen as an indicator of profitability. For analysis of growth, sales revenue and total asset growth are used. The samples are 44 corporations which are supported by government, and 150 corporations which are selected for comparison, with corporate growth support center program by the Ministry of Trade, Industry, and Energy chosen as the consulting model. After gathering the yearly balance sheets and income statements of the samples from CRETOP, Korea Enterprise Data, the analysis is conducted in the way of identifying the statistical significance of financial difference in the same period between corporates taking consulting services and corporates which have not, and the difference of financial outcomes from the corporates taking consulting services before and after consulting services. As a result, in terms of business growth, it is turned out to have positive difference both in growth ratio and profitability compared to the compared corporations at the significant level. Therefore, it is obvious that the consulting program which government provides to SMEs have direct influence practically to the corporates' management performance.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.891-899
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• 2021

The United Nations' Millennium Development Goals (MDG) has become a goal to create a sustainable life. The MDGs' target was to be achieved in 2015, but it missed that date. The MDGs' target has turned into a Sustainable Development Goals (SDGs) to be achieved by 2030 The SDGs require financial support from companies. Funds are one of the resources to implement the SDGs. Government and private companies need to cooperate in achieving the SDGs target. The company has a responsibility to implement corporate social responsibility. The company's corporate social responsibility is part of the implementation of sustainable development in the SDGs. One of the essential industries that have responsibility for SDGs is the financial industry. This study aims to examine the determinant of corporate social responsibility funds in financial institutions in ASEAN countries. This study uses panel data to test the determinant variables on CSF provision. This study uses 45 sustainable development reports from 2015-2019. The total number of banks in the sample came from three countries, namely, Indonesia, Malaysia, and Thailand. This study concludes that firm size, profitability, efficiency, and the age of the CEO are variables that influence the size of corporate social responsibility funds.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.7109-7117
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• 2015

Investors analyze corporate value using the methodology trying to simultaneously satisfy the profitability and stability. In this study, comparing/combining the methodology of corporate value analysis to present a method of analyzing the optimal corporate value. The results of this study can be classified into two. First, it is a model derivation for corporate value analysis. EVA, AEM, and DDM models, to analyze the results, it was look in terms of profitability and stability. EVA and AEM model was stable than the market, profitability appear high, it was suitable to assess the value of the company. However, DDM, which is more stable than the market, profitability is low, it was not suitable. Secondly, by metering the existing methodology presented a new analysis method. A result of a combination of methodology was analyzed by deformation model, "AEM + DEA" and "DDM + DEA", "AEM + EVA", it was found that it is better than the market and the traditional model. AEM and DDM modified model was also found to be better than the market and the existing methodologies. This was reflected in a situation where a change in market environment based on, for being able to present an appropriate analytical method, it can find the suggestions of the study.

• Korean Management Science Review
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• v.32 no.1
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• pp.113-131
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• 2015

We examine the relationship between firms' environmental (E), social (S), and governance (G) factors, with their financial performance in order to provide an empirical rationale for CSV (creating shared value) pursuing both of firms' profitability and CSR (corporate social responsibility). The financial performance is classified into four aspects such as profitability, stability, efficiency, and cash-flow, and each of these aspects is measured by two financial ratios respectively. To measure the firms' ESG performance, we employ the published performance grades by the Korea Corporate Governance Service for a three year span, from 2011 to 2013. Total of eight regression analyses are performed. The results show that firms' non-financial performance in general has statistically significant positive relationships with return on assets, return on net sales, and cash-flow from operating activities ratio, while it has negative relationships with net working capital ratio, asset turnover ratio, and cash-flow from investing activities ratio. It has no significant relationships with debt ratio and equity turnover ratio. The results imply that firms' non-financial performance may have a negative impact on some financial performance such as liquidity and efficiency in a short term, but it would eventually improve the firms' profitability and cash-generating ability, which provides an empirical evidence for the concept of CSV, and motivates the firms to participate in social contribution activities without sacrificing their profitability for their respective sustainablity management.

• Proceedings of the Fisheries Business Administration Society of Korea Conference
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• 2007.12a
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• pp.167-184
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• 2007

The objectives of this paper are to identify the causes of the corporate distress and to develop a distress prediction model with the financial information in fishery industry. In this study, the corporate distress is defined as economic failure and technical insolvency. Economic failure occurs by reduction, shut-down, or change of the business and technical insolvency results from failure to pay the financial debt of companies. The 33 distressed firms from 1991 to 2003 were composed by 14 economic failure companies, 15 technical insolvency companies. 4 companies applied to the both cases. The analysis of distress prediction of fishery companies were accomplished according to the distress definition. The analysis was carried out as two steps. The first step was the univariate analysis, which was used for checking the prediction power of individual financial variable. The t-test is used to identify the differences in financial variables between the distressed group and the non-distressed group. The second step was to develop distress prediction model with logistic regression. The variables showed the significant difference in univariate analysis were selected as the prediction variables. The financial ratios, used in the logistic regression model, were selected by backward elimination method. To test stability of the distress prediction model, the whole sample was divided as three sub-samples, period 1(1990$\sim$1993), period 2(1994$\sim$1997), period 3(1998$\sim$2002). The final model built from whole sample appled each three sub-samples. The results of the logistic analysis were as follows. the growth, profitability, stability ratios showed the significant effect on the distress. the some different result was found in the sub-sample (economic failure and technical insolvency). The growth and the profitability were important to predict the economic failure. The profitability and the activity were important to predict technical insolvency. It means that profitability is the really important factor to the fishery companies.

• The Journal of Fisheries Business Administration
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• v.39 no.2
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• pp.61-79
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• 2008

The objectives of this paper are to identify the causes of the corporate distress and to develop a distress prediction model with the financial information in fishery industry. In this study, the corporate distress is defined as economic failure and technical insolvency. Economic failure occurs by reduction, shut - down, or change of the business and technical insolvency results from failure to pay the financial debt of companies. The 33 distressed firms from 1991 to 2003 were composed by 14 economic failure companies, 15 technical insolvency companies. 4 companies applied to the both cases. The analysis of distress prediction of fishery companies were accomplished according to the distress definition. The analysis was carried out as two steps. The first step was the univariate analysis, which was used for checking the prediction power of individual financial variable. The t - test is used to identify the differences in financial variables between the distressed group and the non - distressed group. The second step was to develop distress prediction model with logistic regression. The variables showed the significant difference in univariate analysis were selected as the prediction variables. The financial ratios, used in the logistic regression model, were selected by backward elimination method. To test stability of the distress prediction model, the whole sample was divided as three sub-samples, period 1(1990 - 1993), period 2(1994 - 1997), period 3(1998 - 2002). The final model built from whole sample appled each three sub - samples. The results of the logistic analysis were as follows. the growth, profitability, stability ratios showed the significant effect on the distress. the some different result was found in the sub - sample (economic failure and technical insolvency). The growth and the profitability were important to predict the economic failure. The profitability and the activity were important to predict technical insolvency. It means that profitability is the really important factor to the fishery companies.

• Asia pacific journal of information systems
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• v.9 no.2
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• pp.39-58
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• 1999

This paper determines the interactive effects of information technologies(IT) on corporate performances. IT was measured inclusively in terms of technology level, information level, functional level, and management level. Corporate performances were composed of the effectiveness of IT and the financial performance of a corporation. The effectiveness of IT was measured in terms of satisfaction with the support of IT department and with output information, whereas financial performance of corporation was measured in terms of market growth and profitability. Theoretical and empirical analyses lead to the followings. In the theoretical aspect, IT in a corporation needs to be measured broadly. And a study of IT related to corporate performance needs to use either a conversion effectiveness model or an intermediate effect model rather than a direct effect model. In the empirical aspect, the effectiveness of IT within an organization improves with some of the interactive effect of ITs including technology level, information level, functional level, and management level. So do some of the financial performances of a corporation.

• KDI Journal of Economic Policy
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• v.38 no.2
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• pp.21-44
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• 2016

There has been a surge of interest in private equity as an alternative corporate restructuring scheme to complement the current institutional forms such as workouts and court receivership. By empirically examining whether private equity in Korea can improve investee companies, we find that while private equity in Korea did not sacrifice the long-term growth potential of investee firms, it did not improve their profitability (e.g. ROA, ROE, and ROS) or growth (e.g. sales growth) either. Both the negative correlation between business performance and firm age and our empirical results showing that young firms were favored by private equity for investment imply that Korean private equity may perform as growth capital, similar to venture capital rather than as buyouts for corporate restructuring.

• Journal of Venture Innovation
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• v.2 no.2
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• pp.95-115
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• 2019

In the context of today's business environment, not only is the nation or company's credit rating considered very important in our recent society, but it is also becoming important in international transactions. Likewise, at this point of time when the importance and reliability of credit evaluation are becoming important at home and abroad, this study analyzes financial ratios related to corporate profitability, safety, activity, financial growth, and profit growth to study the impact of financial indicators on enterprise value and corporate taxes on credit evaluation. To proceed with this, the financial ratio of 465 companies of KOSPI securities listed in 2017 was calculated and the impact of enterprise value and corporate taxes on credit evaluation was analyzed. Especially, this further study tried to derive a reliable and consistent conclusion by analyzing the financial data of KOSPI securities listed companies for eight years from 2011, which is the first year of K-IFRS introduction, to 2018. Research has shown that the significance levels among variables that show the profitability, safety, activity, financial growth, and profit growth of each financial ratio were significant at the 99% level, except for the profit growth. Validation of the research hypothesis found that while the profitability of KOSPI-listed companies significantly affects corporate value and income tax, indicators such as safety ratio and growth ratio do not significantly affect corporate value and income tax. Activity ratio resulted in significant effects on the value of enterprise value but not significant impacts on income taxes. In addition, it was found that the enterprise value has a significant effect on the company's credit and corporate income taxes, and that corporate income taxes also have a significant effect on the corporate credit evaluation, and this also shows that there is a mediating function of corporate tax. And as a result of further study, when looking at the financial ratio for eight years from 2011 to 2018, it was found that two variables, KARA and LTAX, are significant at a 1% significant level to KISC, whereas LEVE variables is not significant to KISC. The limitation of this study is that credit rating score and financial score cannot be said to be reliable indicators that investors in the capital market can normally obtain, compared to ranking criteria for corporate bonds or corporate bills directly related to capital procurement costs of enterprise. Above all, it is necessary to develop credit rating score and financial score reflecting financial indicators such as business cash flow or net assets market value and non-financial indicators such as industry growth potential or production efficiency.