• THE INTERNATIONAL COMMERCE & LAW REVIEW
• /
• v.57
• /
• pp.283-303
• /
• 2013

When a trade conflict arises related to an officially supported export credit programme, The World Trade Organization(WTO), decides on whether the programme is a forbidden subsidy stipulated in the Agreement on Subsidies and Countervailing Measures(the ASCM Agreement). Korea was taken to the WTO panel two times for the export credit programme. One is the semiconductor case in 2002 and the other was the shipbuilding disputes in 2004. And, In 2012, the U.S. Commerce Department ruled K-SURE's export insurance for Korean refrigerator manufacturers as a forbidden subsidy even if the case was not taken to the WTO. This paper examines the significance of export credit programmes on the WTO ASCM Agreement and discusses how to operate these programmes so they would not infringe upon the Agreement by analyzing the actual cases of WTO subsidy conflicts that involved Korean enterprises in relation to export credit programmes for the purpose of determining the related issues and impacts. From this research the results were as follows: First, on whether export credit is a prohibited subsidy, the deciding factor was whether a benefit has been conferred to the beneficiary. On the presence of a benefit, the WTO panel used market benchmarks as the main criteria. Thus, official export credit agencies(ECAs) should be careful not to provide export credit support which had been granted to the beneficiary at better than market terms. Second, in the case of export credit, the special status of ECA as a public body receiving government support itself does not constitute a subsidy. However, caution must be taken not to provide export credit that may lead to WTO ASCM subsidy conflicts involving a certain exporter or industry by setting up clear and valid regulations and fair work processes in the operation of export credit programmes. Third, item (j) of Annex I cannot be interpreted reversely as this item is for interpreting the presence of a prohibited subsidy, not the presence of a benefit. Thus, an export credit program that confers a financial contribution, a benefit and specificity, could qualify as a prohibited subsidy. Fourth, ECAs not only have to maintain long-term account balance but also introduce additional measures to meet this long-term balance such as a clear and systematic premium system. Finally, export credit programmes that are not defined in item (j) of Annex I of the ASCM Agreement would not deemed as an prohibited export subsidy as long as the continued support of the programmes are not being forced.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.8
• /
• pp.421-431
• /
• 2021

This study investigates the empirical linkages between ASEAN countries' institutional quality and financial inclusion using country data from 2008-2019. In this paper, six governance indicators from the World Governance index are used to measure the impact of institutions on financial inclusion. The PCA method's financial inclusion index is constructed from 3 indicators: penetration, access, and usage: penetration, access, and usage with six indices respectively as the number of ATMs per 1000 km², the number of bank branches per 1000 km², the number of ATMs per 100,000 people and the number of bank branches for 100,000 adults, the ratio of credit to private to GDP, and the ratio of deposit to private to GDP. Regression analysis with the Generalized Moments method shows the positive impact of institutions and other control variables like GDP per capita, inflation, bank concentration, and human development index on financial inclusion. Therefore, this study recommends that the government and policymakers in countries pursue the financial inclusion agenda to pay attention to the financial and economic indicators and institutional factors. This is because many savers, borrowers, and investors may not be protected when financial contracts are enforced or breaches occur in an environment where economic, legal, judicial, and political institutions are weak, such as in ASEAN countries.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.4
• /
• pp.73-81
• /
• 2022

The focus of the research is to determine the amount of financial information disclosure and the factors that influence it for non-financial enterprises listed on Vietnam's stock exchange. To evaluate the level of financial information disclosure, the study uses a set of disclosure indexes from the world's leading credit rating agency, Standard and Poor's (S&P). It makes some revisions in compliance with regulations for information disclosure on the Vietnam stock market. The study collects data in the form of annual reports for the year 2017-2020 from 350 non-financial firms listed on Vietnam's stock exchange and then uses a multivariate regression model to assess the effects of factors on the amount of financial information disclosure. The findings show that the size of the firm, the size of the board of directors, and foreign ownership all have a positive impact on financial transparency; however, the number of years the company has a negative impact. According to the findings of this study, companies with more total assets, a larger board of directors, and a higher rate of foreign ownership publish more financial information. Still, long-term listed companies on the stock exchange tend to disclose less.

• Journal of the Korea Convergence Society
• /
• v.10 no.4
• /
• pp.175-182
• /
• 2019

The purpose of this study is to test whether credit rating agencies highly evaluate the credit ratings of corporate bonds based upon management participation and ownership share by family governance in ownership structure forms. The samples of this study for empirical analysis were 1,449 non-financial companies listed on Korean Exchange from 2011 to 2016, over whose firm/year data this study conducted regression analysis. The results of empirical analysis in this study are as follows. First, family businesses had positive effects on the evaluation of corporate credit ratings. Second, if the ownership share of family businesses was higher, corporate credit ratings were higher. This result means that high ownership share in family businesses has very positive effects on the credit ratings of related businesses. It is meaningful that this study tested the effect that family businesses can alleviate agency problems and reduce information asymmetry. Furthermore, it is also academically meaningful that this study can contribute to future studies on the role of ownership structure.

• Journal of Digital Convergence
• /
• v.20 no.5
• /
• pp.585-592
• /
• 2022

The purpose of this paper is to examine the relation between executive excesss compensation and credit rating. According to the prior research which show the negative effects of excess compensation on a firm's future performance, this paper expects the negative effect of excess compensation on credit rating. Using a sample of Korean listed non-financial firms from 2014 to 2019, I perform the multivariate regressions analysis of excess compensation on credit rating. I find that excess compensation is negatively related to credit rating when executive compensation exceed expected executive compensation. Moreover, I find that the result is constant when a fim belongs to small-medium business. These results show that credit rating is affected by executive excess compensation and the relation could be different by the type of firm's size. Therefore, this study contributes to the literature by suggesting the possibility that capital market is aware of negative effect of executive excess compensation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.15 no.2
• /
• pp.193-208
• /
• 2020

In this study, we investigate the effects of technology innovation investments and employment on credit ratings of very small start-up businesses using the data period of 2009 till 2015 test two hypotheses: asymmetric information hypothesis or competence hypothesis. We use financial and non-financial data of 51,903 observations of 12,028 small businesses from a database of a commercial bank and fixed effects panel models and two-stage instrumental variable models. We find that in the short-run small size startups show lower credit ratings than non-startups, and that both technology innovation activities and employment capability improve their credit ratings. In the long-run, technology innovation investments do not improve their credit ratings of later years while employment capability improve their credit ratings of the subsequent year. In addition, the age of startups improves their credit ratings of the current year and until the subsequent two years while employee productivity, fixed ratio and ROA positively affect their credit ratings for up to three years. However, short-term and overall debt ratios, cost of borrowings and firm-size negatively affect their credit ratings for up to three years. The results of the study on credit ratings suggest that credit rating agencies seem to consider both technology innovation activities and employment capability in the credit ratings of small start-ups as 'competence factors' rather than 'asymmetric information factors' with inefficiency and cost burdens. The results also suggest that we must find ways to reflect properly the severe asymmetric information of the early-stage start-ups, and technology innovation activities and employment capability in the credit rating formula.

• Journal of Korea Technology Innovation Society
• /
• v.12 no.2
• /
• pp.360-387
• /
• 2009

In this paper, we analyse empirically the effects of internal financing on investment of innovative small and medium sized enterprises listed on Kosdaq Market of Korea Exchange. The main results of this study can be summarized as follows. Free cash flows by proxy variables of internal financing have the significant effects on R&D investment as well as fixed asset investment. Internal financing has much more effects on R&D investment of general enterprises listed on Kosdaq Market than that of venture enterprises listed on Kosdaq Market, and on R&D investment of innovative enterprises than that of non-innovative enterprises. Internal financing has more effects on asset-counted R&D investment than cost-counted R&D investment. Asset-counted R&D investment is counted in intangible assets on Balance Sheet, and cost-counted R&D investment is counted in cost on Income Statement. Internal financing has more effects on R&D investment of financial constrained enterprises than that of financial unconstrained enterprises. Financial constraints is measured by credit ratings. Faulkender and Smith (2007) emphasize that low credit ratings enterprises are more likely to face financial constraints, and they rely largely on internal financing.

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

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.6
• /
• pp.85-93
• /
• 2020

The paper investigates the impact of the statement of cash flows of listed companies on lending decisions of commercial banks in the context of Vietnam. Survey data for the research were collected from 160 credit officers of Vietnamese commercial banks for short-term and long-term lending decisions, whether the cash flow statement includes complete information or has a lack of information. The cash flow statement, in which the information on the cash flow is completely contrary to the profit information on the income statement is examined. This paper employed T-tests to address the research issues in a market considered to be ineffective, like Vietnam. The research results show: (1) the information on the cash flow statement affects both the short-term and long-term lending decisions of credit officers, and (2) the lack of information on the cash flow statement in both cases of positive and negative profits affects the comfort and confidence of credit officers in making decisions. The research findings also indicate that cash flow statements are important for lending decisions of credit institutions in Vietnam. Therefore, this paper provides a new insight to managers on how to improve the quality of cash flow statement to meet the needs of lenders.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2002.11a
• /
• pp.491-501
• /
• 2002

Case-based reasoning is emerging as a leading methodology for the application of artificial intelligence. CBR is a reasoning methodology that exploits similar experienced solutions, in the form of past cases, to solve new problems. Hybrid model achieves some convergence of the wide proliferation of credit evaluation modeling. As a result, Hybrid model showed that proposed methodology classify more accurately than any of techniques individually do. It is confirmed that proposed methodology predicts significantly better than individual techniques and the other combining methodologies. The objective of the proposed approach is to determines a set of weighting values that can best formalize the match between the input case and the previously stored cases and integrates fuzzy sit concepts into the case indexing and retrieval process. The GA is used to search for the best set of weighting values that are able to promote the association consistency among the cases. The fitness value in this study is defined as the number of old cases whose solutions match the input cases solution. In order to obtain the fitness value, many procedures have to be executed beforehand. Also this study tries to transform financial values into category ones using fuzzy logic approach fur performance of credit evaluation. Fuzzy set theory allows numerical features to be converted into fuzzy terms to simplify the matching process, and allows greater flexibility in the retrieval of candidate cases. Our proposed model is to apply an intelligent system for bankruptcy prediction.