• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.11-18
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• 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.

• Nutrition Research and Practice
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• v.8 no.4
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• pp.425-431
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• 2014

BACKGROUND/OBJECTIVES: The study objectives were to examine the participation rate in food assistance programs and explore the factors that contribute to such participation among the Korean elderly population. SUBJECTS/METHODS: The study sample comprised 3,932 respondents aged 65 years or older who were selected from a secondary data set, the fourth Korean Welfare Panel Study (KoWePS). The factors, related to participation in programs were examined based on the predisposing, enabling and need factors of the help-seeking behavior model. Multiple logistic regression analysis was used to select the best contributors among the factors related to program participation. RESULTS: The predisposing rate in food assistance programs was 8.5% (7.1% for men and 10.4% for women). When all variables were included in the model, living without spouse, no formal education, low income, having social security benefits and food insecurity in elderly men, and age, low income, having social security benefits and feeling poor in elderly women were significantly related to a higher tendency to program participation. CONCLUSIONS: The predisposing and need factors, such as living without spouse, low education level, food insecurity and feeling poor were important for program participation, as well as enabling factors, such as household income and social security benefits. A comprehensive approach considering these factors to identify the target population for food assistance programs is needed to increase the effectiveness and target population penetration of these programs.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.489-495
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• 2020

Income inequality is a problem that is not only faced by developing countries such as Indonesia, but also developed countries. The difference lies in the proportion of an inequality that occurs and the solution to the level of difficulty experienced. Thus, this study aims to empirically analyze the unequal distribution of population income in Java island, Indonesia, by including the human development index, open unemployment rate, foreign investment, and the degree of fiscal decentralization. The research model used in this study was multiple linear regression to analyze the panel data with a fixed-effect model approach. The results of the study showed that human development index, open unemployment rate, and the degree of fiscal decentralization had a positive and significant effect on income inequality in Java island. Meanwhile, foreign investment had a negative and insignificant effect on income inequality in Java. It is because the value of the investment is more invested in the capital-intensive sector. The government is expected to be more selective in accepting foreign investments that enter the country, especially in Java, and it should be labor-intensive investments. In addition, the government has to equalize locations for foreign investment without reducing good cooperation with these foreign investors.

• Journal of the Korean Society of Physical Medicine
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• v.13 no.2
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• pp.21-31
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• 2018

PURPOSE: This study examined the differences between male and female workers by investigating the various factors that affected the workers' abilities to return to work according to the International Classification of Functioning standards. METHODS: We analyzed the personal factor, environmental factor, work performance and participation factor related to ICF according to worker's gender. For this purpose data from the third Worker's Compensation Insurance panel survey conducted by the Korea Workers' Compensation & Welfare Service were analyzed. In order to verify the research model, we used frequency analysis, cross analysis to compare the differences between male and female workers according to personal, environmental, work performance, and participation factors and hierarchical regression analysis to identify significant factors affecting job performance. RESULTS: The results, indicate that the level of education, license status, working period, socioeconomic status and employment type of female workers were lower than those of male workers. Factors that have the greatest influence on job performance are grade of disability, status of disability, economic activity status, and instrumental activities of daily living (p<.05). CONCLUSION: It is necessary to provide socially stable employment support and social policy support without discrimination to allow disabled female workers to return to work and maintain their jobs and to study factors influencing job performance further.

• Korea Trade Review
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• v.45 no.4
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• pp.25-43
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• 2020

This study mainly measures the level of trade facilitation in member countries along the "the Belt and Road" and discusses the impact of trade facilitation on bilateral trade. Based on the research results of domestic and foreign scholars, this study made a new systematic measuring system which covering 4 indicators and 15 subordinate indicators, to obtain the trade facilitation index. Based on the extended gravity model, this paper conducts a panel data, for more than 50 major trading members along the "the Belt and Road" during 2010~2017 as an example to empirically study the relationship between the trade facilitation level of major trading members and the volume of China's import and export trade. The results show that the level of trade facilitation among member countries is not high and the trade facilitation variable has positive value, indicating that the trade facilitation variable has positive effect on increasing bilateral trade. If the trade facilitation increases by 1% respectively, the bilateral trade level will increase by 0.98% separately. Finally, according to the regression results of four aspects of the trade facilitation index system, e-business development plays the most significant role in promoting trade facilitation.

• The Korean Journal of Applied Statistics
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• v.30 no.6
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• pp.917-929
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• 2017

Korean income data obtained from Korea Labor Panel Survey shows excessive zeros, which may not be properly explained by the Tobit model. In this paper, we analyze the data using a zero-inflated Tobit model to incorporate excessive zeros. A zero-inflated Tobit model consists of two stages. In the first stage, individuals with 0 income are divided into two groups: genuine zero group and random zero group. Individuals in the genuine zero group did not participate labor market since they have no intention to do so. Individuals in the random zero group participated labor market but their incomes are very low and truncated at 0. In the second stage, the Tobit model is assumed to a subset of data combining random zeros and positive observations. Regression models are employed in both stages to obtain the effect of explanatory variables on the participation of labor market and the income amount. Markov chain Monte Carlo methods are applied for the Bayesian analysis of the data. The proposed zero-inflated Tobit model outperforms the Tobit model in model fit and prediction of zero frequency. The analysis results show strong evidence that the probability of participating in the labor market increases with age, decreases with education, and women tend to have stronger intentions on participating in the labor market than men. There also exists moderate evidence that the probability of participating in the labor market decreases with socio-economic status and reserved wage. However, the amount of monthly wage increases with age and education, and it is larger for married than unmarried and for men than women.

• Management & Information Systems Review
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• v.37 no.2
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• pp.87-108
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• 2018

This article explores the international trade flow of Bangladesh's ready-made garments (RMG). We first suggest the brief history and an international structure of trade among countries by using the trade volume. Then we implemented a gravity model regression with the sample of 38 major partner countries in order to investigate the potential export market for the RMG industry. The fixed effect and random effect model for the panel data during the period of 1990 to 2011 are estimated. Our result shows that Bangladesh's RMG exports are affected positively by the size of economy, inflation, exchange rate, foreign direct investment(FDI) and trade openness. On the other hand, the distance between trading partners are related negatively with the trade volume. We used the estimated coefficients from the panel regression in order to predict RMG export potential of Bangladesh. This might show which country is the promising export market for Bangladesh RMG industry. We found that Bangladesh has the highest potential of RMG export with Japan and USA, which seem to have considerable room for export growth if trade barriers and constraints are removed. We added some policy implications for encouraging the RMG export of Bangladesh by using the results from the analysis.

• Journal of the Korean Society for information Management
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• v.38 no.4
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• pp.1-23
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• 2021

The purpose of this study is to analyze the effects of the bestseller ranks on the book circulations in public libraries. To achieve this goal, the weekly data sets of 179 books' library circulation and bestseller list from January 1, 2018 to December 29, 2019 were constructed based on the data collected from BigData MarketC and YES24. Three methods for analyzing panel data including linear regression, fixed-effect, and random effect models were compared, and it turned out that fixed-effect model was better than other methods. The results show that the average ranks of bestsellers were associated with their public library circulations visually. Also, the analysis of fixed-effect model showed that the single rank decline of a book on the bestseller list decreases its average circulation of 0.108 while the size of effect varied depending on subject of books. The study empirically demonstrated the impact of a bestseller list on people's book circulation behavior, suggesting that public libraries need to reference sociocultural context as well as bestseller book lists to predict library user needs and to formulate collection development policy.

• Korean Journal of Human Ecology
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• v.22 no.5
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• pp.419-431
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• 2013

This study examined the childcare use pattern of the working mothers with preschool children and the factors affecting their use of multiple childcare. The 7th wave data of "Korea Welfare Panel Study" were analyzed for this study. The working mothers with preschool children were selected from the data set and a total of 292 working mothers were included in the analysis. More than 70% of the working mothers were using only one kind of childcare, mostly childcare center and kindergarten and 22.5% of the mothers were using more than two of childcare arrangements. Child factors, maternal factors, household factors, and economic factors were included in the hierarchical logistic regression model in the presented order to predict the use of multiple childcare. The results showed that the child's age and maternal education were positively related to the use of multiple childcare, while whether both parents live with the child, number of children within household, and the poverty status were negatively related to the use of it. Based on these results, we can confer that the main motive for multiple childcare use is to provide various experiences for their children.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.739-748
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• 2020

The study aims to estimate the effect of current ratio (CR), current liability to inventory (CLI), total asset turnover (TAT), net profit margin (NPM), sales growth (SG), and company size (FS) on profit growth (PG). The research population was 18 companies in the Food and Beverage (F&B) sector listed on the Indonesia Stock Exchange (IDX) from 2014-2018. The data estimation method uses the common effect panel data regression model. The empirical findings show that the CR and CLI ratios have a negative effect on PG, while the TAT, NPM, and SG ratios have a positive effect. Company size is a factor that does not affect the growth of company profits. The results of the study imply that an increase in company profits can be achieved if the company operates efficiently and with low liquidity to encourage higher sales growth. The limitations of the research are as follows: first, this research considers only one type of industry, hence the results of this study would not be the same if applied to another type of industry. Second, the author observes profit growth by using the company's financial ratios and size and ignores other factors that may affect profit growth, for example, the number of employees, total net sales, and market capitalization.