• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.1
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• pp.164-168
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• 2012

This study suggests the direction to narrow down the difference between financial and tax accounting in relation to borrowing costs. Accounting for capitalization of borrowing costs under accounting standards for non-public entities should be revised to converge into KIFRS. The provision of corporate income tax law relating to capitalization of borrowing costs should be applied on the optional basis rather than compulsory application especially for non-public entities. The range of qualifying assets for capitalization under the tax law should be reviewed to comply with KIFRS.

• Journal of Environmental Policy
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• v.14 no.4
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• pp.63-101
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• 2015

Banking and borrowing under the ETS may affect the low carbon technology investment level. If the indirect implementation measures are allowed, firms can gradually adjust their carbon reduction costs between implementation periods based on their carbon reduction costs and emission price forecasts. This implies that banking and borrowing may reduce or increase the level of low carbon technology R&D investment. In an oligopoly market, the effects of the measures are quite different from the ones in a perfectly competitive market. This is because the indirect implementation measures can shift market competition in Cournot competition model. The effects of banking and borrowing on the carbon reduction R&D investments depend on emission reduction costs, marginal production costs, discount rate, initial free allocation, and the cost reduction effects of R&D investment.

• Journal of Family Resource Management and Policy Review
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• v.6 no.1
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• pp.73-85
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• 2002

This study examined which factors influence the parental borrowing for children's college education in the U.S. A double-hurdle model was applied to analyze both the parents’decision to borrow and the amount of borrowing. Parents’income and total costs of college attendance had significant positive effects on both the decision to borrow and the amount borrowed. Students’income, parents’cash and savings had significant negative impacts on the amount borrowed, while home equity and the students’expected future income were significant positive factors. Greater amounts of grants significantly increased the probability of borrowing, but reduced the loan amount. Parents with smaller household size, and those who were college graduates were more likely to borrow. White parents borrowed greater amounts than did their non-White counterparts. The age of the student was a significant negative factor in the probability, as well as the level, of borrowing.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.9
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• pp.5829-5835
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• 2015

This paper investigates the impact of corporate governance structure on the firm's debt costs under different governance environments. We find that after the 2008 banking crisis, family firms with controlling shareholders benefit from lower debt cost through the strong control rights of dominating large shareholders, compared with the firms with diversified minority-shareholders. Foreign investors are related statistically to the higher cost of debt. Before the 2008 banking crisis, cash flows and growth potentials are positively associated with the firm's cost of debt.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.143-147
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• 2013

This paper examines the impact of corporate governance structure on the cost of debt. Total sample is divided into the small sample, the medium sample and the large sample of equity concentration, based on the equity ownership of large shareholders. Our regression results show that foreign investors are not associated with the cost of debt in the small and medium samples of equity ownership, whereas foreign investors are significantly associated with the reduction in the cost of debt in the large sample of equity concentration. Academic implications of our findings are that as the ownership of dominating shareholders rises, they seek their private interests of perks causing an increase in agency costs and a decrease in firm's economic value, thus expanding borrowing costs. Practical business implications are that foreign investors may alleviate agency problem of dominating large shareholders in the firm through monitoring activities, thus enhancing the efficiency of business decision-makings.

• Tuberculosis and Respiratory Diseases
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• v.85 no.2
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• pp.165-174
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• 2022

Background: One goal of the End tuberculosis (TB) Strategy is to see no TB-affected households experiencing catastrophic costs. Therefore, it is crucial for TB-elimination programs to identify catastrophic costs and their main drivers in order to establish appropriate health and social measures. This study aimed to measure the percent of catastrophic costs experienced by Egyptian TB patients and to identify its determinants. Methods: We conducted a prospective cohort study with 151 Egyptian TB patients recruited from two chest dispensaries from the Cairo governate from May 2019 to May 2020. We used a validated World Health Organization TB patient-cost tool to collect data on patients' demographic information, household income, and direct and indirect expense of seeking TB treatment. We considered catastrophic TB costs to be total costs exceeding 20% of the household's annual income. Results: Of the patients, 33% experienced catastrophic costs. The highest proportion of the total came in the pre-treatment stage. Being the main breadwinner, experiencing job loss, selling property, and the occurrence of early coronavirus disease 2019 lockdown were independent determinants of the incidence of catastrophic costs. Borrowing money and selling property were the most-often reported coping strategies adopted. Conclusion: Despite the availability of free TB care under the Egyptian National TB Program, nearly a third of the TB patients incurred catastrophic costs. Job loss and being the main breadwinner were among the significant predictors of catastrophic costs. Social protection mechanisms, including cash assistance and insurance coverage, are necessary to achieve the goal of the End TB Strategy.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.119-130
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• 2020

The study seeks to evaluate the impacts of three types of credit - formal, semi-formal, and informal credits - on the well-being of households in Vietnam's rural areas. Based on data from the Vietnam Household Living Standard Surveys in 2014 and 2016, the research uses the instrumental variable fixed-effect models to estimate the effects of three kinds of credit on household's per capita income and expenditure. There are some significant findings. First, in rural areas, formal credit is the most popular source with stable and cheap borrowing costs. Informal credit is a complement to formal credit to meet urgent needs. Funding agriculture activities is the most commonly cited purpose of borrowing, followed by purchasing assets. The highest misuse rate belongs to the group of loans for agriculture production. Second, the results show that credit helps smoothen consumption rather than generate income for rural households. Three types of credit have insignificant or negative effects on household's per capita income. Formal loans significantly improve total expenditure and spending on healthcare and education. Informal and semi-formal credits show a little influence on consumption. Informal loans have a significantly positive effect on healthcare expenditure. In contrast, having semi-formal loans tends to decrease spending on foods.

• Industrial Engineering and Management Systems
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• v.15 no.1
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• pp.63-76
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• 2016

Multiperiod portfolio selection problem attracts more and more attentions because it is in accordance with the practical investment decision-making problem. However, the existing literature on this field is almost undertaken by regarding security returns as random variables in the framework of probability theory. Different from these works, we assume that security returns are uncertain variables which may be given by the experts, and take absolute deviation as a risk measure in the framework of uncertainty theory. In this paper, a new multiperiod mean absolute deviation uncertain portfolio selection models is presented by taking transaction costs, borrowing constraints and threshold constraints into account, which an optimal investment policy can be generated to help investors not only achieve an optimal return, but also have a good risk control. Threshold constraints limit the amount of capital to be invested in each stock and prevent very small investments in any stock. Based on uncertain theories, the model is converted to a dynamic optimization problem. Because of the transaction costs, the model is a dynamic optimization problem with path dependence. To solve the new model in general cases, the forward dynamic programming method is presented. In addition, a numerical example is also presented to illustrate the modeling idea and the effectiveness of the designed algorithm.

• Journal of KIBIM
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• v.9 no.2
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• pp.1-10
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• 2019

In this research, schedule optimization is defined as balancing the number of workers while keeping the demand and needs of the project resources, creating the perfect schedule for each activity. Therefore, when one optimizes a schedule, multiple potentials of schedule changes are assessed to get an instant view of changes that avoid any over and under staffing while maximizing productivity levels for the available labor cost. Optimizing the number of workers in the scheduling process is not a simple task since it usually involves many different factors to be considered such as the development of quantity take-offs, cost estimating, scheduling, direct/indirect costs, and borrowing costs in cash flow while each factor affecting the others simultaneously. That is why the optimization process usually requires complex computational simulations/modeling. This research attempts to find an optimal selection of daily maximum workers in a project while considering the impacts of other factors at the same time through OPEN BIM based multiple computer simulations in resource leveling. This paper integrates several different processes such as quantity take-offs, cost estimating, and scheduling processes through computer aided simulations and prediction in generating/comparing different outcomes of each process. To achieve interoperability among different simulation processes, this research utilized data exchanges supported by building SMART-IFC effort in automating the data extraction and retrieval. Numerous computer simulations were run, which included necessary aspects of construction scheduling, to produce sufficient alternatives for a given project.

• Industrial Engineering and Management Systems
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• v.16 no.1
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• pp.118-128
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• 2017

Uncertain factors in finical markets make the prediction of future returns and risk of asset much difficult. In this paper, a model,assuming the admissible errors on expected returns and risks of assets, assisted in the multiperiod mean variance portfolio selection problem is built. The model considers transaction costs, upper bound on borrowing risk-free asset constraints, cardinality constraints and threshold constraints. Cardinality constraints limit the number of assets to be held in an efficient portfolio. At the same time, threshold constraints limit the amount of capital to be invested in each stock and prevent very small investments in any stock. Because of these limitations, the proposed model is a mix integer dynamic optimization problem with path dependence. The forward dynamic programming method is designed to obtain the optimal portfolio strategy. Finally, to evaluate the model, our result of a meaning example is compared to the terminal wealth under different constraints.