• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.257-265
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• 2023

This paper investigates the determinants of credit accessibility and the effect of credit on the income of farm households borrowing from Vietnam Bank for Agriculture and Rural Development, Giong Rieng District Branch, Kien Giang Province. Based on the primary data of 200 farming households who are the customer of the bank, the study applied the Probit regression model to examine determinant factors of credit accessibility of farm households and employed the Propensity score matching method to investigate the impact of credit on households' income. The findings of the Probit regression shown that three independent variables that significantly influence the access to credit of households are household size, income source, and farm size. Besides that, the Propensity score matching method results showed a difference of 23.799 million VND/year between the income of borrowing households and that of non-borrowing households at the significance level of 1%. The difference in the imcome from the interval and central matching methods are VND 24.700 million VND/year and VND 24.633 million VND/year, respectively. Given empirical findings suggetsted that several recommendations to increase the credit accessibility of farm households, thereby creating favorable conditions for improving their income.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.81-91
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• 2022

The aim of this paper was to analyze the determinants of the extent of individual credit rationing at Can Tho Military Commercial Joint Stock Bank (MB). The data was collected from 150 customers according to the systematic random sampling method listed in the bank. This study employed quantitative analysis methods, and Tobit regression model, to test the proposed hypotheses. The results showed that the average loan amount of an individual customer was 1,181.3 million VND, the average credit limit was 48.6%, and the average interest rate was 10.9% per year. Most of the individual customers borrowed money to buy properties. In addition, the analysis results also indicated that individual borrowers still faced some difficulties in accessing bank credit, such as cumbersome procedures, long waiting times, insufficient collateral assets, and loan documents. The results of the Tobit model pointed out that there were five factors affecting the degree of credit rationing to individual customers at the bank, including (1) Collateral, (2) Income, (3) Credit history, (4) Loan purpose, (5) Relationship between borrower and bank. Based on the empirical findings, the possible solutions for the bank and individual borrowers to improve credit efficiency for individual customers at commercial banks are obtained.

• Nuclear Engineering and Technology
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• v.48 no.3
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• pp.624-634
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• 2016

Nuclear criticality safety analyses (NCSAs) considering burnup credit were performed for the GBC-32 cask. The used nuclear fuel assemblies (UNFAs) discharged from Hanbit Nuclear Power Plant Unit 3 Cycle 6 were loaded into the cask. Their axial burnup distributions and average discharge burnups were evaluated using the DeCART and Multi-purpose Analyzer for Static and Transient Effects of Reactors (MASTER) codes, and NCSAs were performed using SCALE 6.1/STandardized Analysis of Reactivity for Burnup Credit using SCALE (STARBUCS) and Monte Carlo N-Particle transport code, version 6 (MCNP 6). The axial burnup distributions were determined for 20 UNFAs with various initial enrichments and burnups, which were applied to the criticality analysis for the cask system. The UNFAs for 20- and 30-year cooling times were assumed to be stored in the cask. The criticality analyses indicated that $k_{eff}$ values for UNFAs with nonuniform axial burnup distributions were larger than those with a uniform distribution, that is, the end effects were positive but much smaller than those with the reference distribution. The axial burnup distributions for 20 UNFAs had shapes that were more symmetrical with a less steep gradient in the upper region than the reference ones of the United States Department of Energy. These differences in the axial burnup distributions resulted in a significant reduction in end effects compared with the reference.

• Journal of information and communication convergence engineering
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• v.19 no.4
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• pp.228-233
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• 2021

In this study, we analyze the credit information (loan, delinquency information, etc.) of individual business owners to generate voluminous training data to establish a bankruptcy prediction model through a partial synthetic training technique. Furthermore, we evaluate the prediction performance of the newly generated data compared to the actual data. When using conditional tabular generative adversarial networks (CTGAN)-based training data generated by the experimental results (a logistic regression task), the recall is improved by 1.75 times compared to that obtained using the actual data. The probability that both the actual and generated data are sampled over an identical distribution is verified to be much higher than 80%. Providing artificial intelligence training data through data synthesis in the fields of credit rating and default risk prediction of individual businesses, which have not been relatively active in research, promotes further in-depth research efforts focused on utilizing such methods.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.303-309
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• 2022

The goal of this research is to examine how credit (loan) can help rural households in Tra Vinh province create jobs in the wake of the COVID-19 outbreak in Vietnam over the last two years. The authors performed a direct survey, using a questionnaire, with 300 customers who had loan records at the Tra Vinh VBSP branch under the loan programs. From January to April 2021, jobs will be available at 07 transaction offices in districts and cities (Cau Ngang; Duyen Hai, Tieu Can, Cang Long, Tra Vinh City, Chau Thanh, Tra Cu). Using the multivariate regression method, the research has found 12 factors affecting the ability to access the employment loan program: Age, Educational Level, Occupation of households, Income, Household land area, Asset, Loan, Interest rates, Loan procedures, Loan purpose, Credit relations. From the above research results, the authors have proposed solutions to improve the ability to access credit to create jobs for each subject group at Viet Nam Bank for Social Policies, Tra Vinh Province in the future.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.2
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• pp.43-52
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• 2020

The paper investigates the mechanism through which corporate credit ratings affect dividend payments by decomposing the mean difference of dividends into a part that is explained by the determinants of dividends and a residual part that is contributed by the pure credit group effect, in the framework of the traditional dividend model of Fama and French (2001). Historically, better credit rated firms have shown consistently higher propensity to pay dividends especially during the economic crisis period. According to the counter-factual decomposition technique of Jann (2008), better rated firms are more responsive to the firm characteristics that have positive impact on dividends and poor rated firms are more responsive to the negative dividend predictors. As a result, good (bad) credit ratings make corporate managers become more bold (timid) in their dividend payments and they tend to pay more (less) dividends than what their firm characteristics prescribe. The degree of information asymmetry increases for the poor group firms during crisis periods and they attempt to reserve more cash in preparation for future investments. The decomposition results suggest that the credit group effect can potentially exceed the effect of firm characteristics because firms of different credit ratings can respond to the very same firm characteristics in a different manner.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.2
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• pp.25-32
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• 2019

In the Korean capital market, there are three credit rating agencies. Potential credit ratings based on credibility in the financial market are calculated independently for each rating agency. It often happens that despite the fact that the grades of the rating agencies are the same and have the same rating system, their actual ratings are different, even for the same firm. In such circumstances, investors may wonder why. In this study, we assume that the cause is the information environment in which the company operates. The credit ratings of rating agencies are mainly classified into bonds or commercial papers. The bonds are rated primarily for long-term of three years or more, and commercial papers specify ratings for less than one year. The information environment to be verified in this study was observed with a commercial paper. Under the assumption the larger the analyst following is, the more transparent is the information environment, we analyzed the influence of the number of analysts following on the degree to which ratings conflicted among credit rating agencies. The results of our analysis confirmed that opinion conflict among credit rating agencies is clearly reduced for companies with good information environments.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.873-880
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• 2021

The purpose of this study is to investigate the impact of internal control on credit risk of joint stock commercial banks in Vietnam from 2007 to 2018. Furthermore, we specify bank-specific characteristics and macroeconomic conditions, and analyze how these factors affect credit risk of banks: the number of board members, the number of board members with banking or finance background as ratio of total board members, loans to total assets ratio, loans to deposit ratio, the number of days between the year-end and the publication of the financial statements, and the use of top four auditing firms proxy for five elements of internal control. By using the dataset of 30 Vietnamese joint stock commercial banks and Bayesian linear regression via Random-walk Metropolis Hastings algorithm, the results of this study show that five elements of internal control have a impact on bank credit risk, namely, control environment, risk assessment, control activities, information and communication, and monitoring activities. For factors of banks' characteristics, bank size and financial leverage have a negative impact on banks' credit risk, and bank age has a positive effect. For macroeconomic factors, inflation has a positive impact and economic growth has a negative impact on banks' credit risk.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.885-895
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• 2021

The purpose of this study is to examine the determinants of intention to borrow consumer credit of Vietnamese people by applying the Technology Acceptance Model (TAM) and extending it with several variables, including anxiety, perceived trust, and perceived financial costs extracted and adapted from the existing literature. A questionnaire survey was administered in the big cities of Vietnam to a total of 602 consumers. Structural equation modeling (SEM) techniques have been employed to investigate the relationship among intention determinants to borrow. Findings show that perceived usefulness mediates the impact of subjective norms on the intention to borrow consumer credit. At the same time, subjective norms also directly influence the intention to borrow. Notably, anxiety, perceived trust, perceived financial cost, perceived ease of use have no significant influence on intention to borrow. Meanwhile, education level is confirmed to have a moderate influence on intention to borrow consumer credit of Vietnamese people. However, there is not enough statistical evidence about the influence of gender and marital status on the intention to borrow consumer credit in Vietnam. Based on the findings of the Vietnamese consumer credit market, we proposed some suggestions to promote the growth of the market in the future.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.949-958
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• 2021

This study aims to develop a theoretical model in order to determine factors affecting consumer intention to use credit cards by combining Theory of perceived risk and Technology acceptance model. Despite of perspective of consequences in prior studies on related research fields, this study focuses on the sources of perceived risk, including transaction, payment and credit risks, which are proposed and measured in a preliminary research. A measurement model and a structural model with the presence of perceived risk in sources are tested in a formal research with data collected from 538 bank customers. An analysis results show that payment risk, usefulness, transaction risk, ease of use, and credit risk influence significantly Vietnamese consumers' intention to use credit cards in decreasing order of influence. These factors account for 64.6% of the variation in intended use. All three dimensions of perceived risk have a negative effect on the intention to use, with the total impact greater than the level of influence of the other two factors of usefulness and ease of use. These findings can be beneficial to banks in enacting policies to attract more consumers and to allocate resources for improving their credit card business.