• Title/Summary/Keyword: Tax Risk

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Factors Affecting the Financial Structure of Hospitals in Korea (병원의 재무구조에 영향을 미치는 요인)

  • 최만규;문옥륜;황인경
    • Health Policy and Management
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    • v.12 no.2
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    • pp.43-75
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    • 2002
  • This study focuses on the factors that make the financial structure of hospitals in Korea different, and on recommended courses of action that could be very helpful to hospitals in maintaining a sound financial structure. Data used in this study were collected from 132 hospitals with complete general data of present conditions as well as financial statements. They were chosen from the 174 hospitals that passed the standardization audit undertaken by the Korean Hospital Association from 1996 to 2000 for the purpose of accrediting training hospitals. The dependent variable in this study is financial structure. It consists of liabilities as against total assets (total liabilities to total assets, short-term liabilities to total assets, long-term liabilities to total assets, short-term borrowings to total assets, long-term borrowings to total assets). The independent variables are ownership type, hospital type, location, whether or not a representative is a director of the hospital, the possibility of changing a hospital director, bed size, period of establishment, asset structure, profitability, growth, tax shields, business risk, competition. The factors that appear to have the strongest impact on the liabilities to total assets of all the hospitals sampled are ownership type, hospital type, profitability, tax shields, and business risk. It was found that not-for-profit private hospitals and for-profit private hospitals have more liabilities than public hospitals, and tertiary medical institutions have less liabilities than the secondary general hospitals. Moreover, hospitals earning more at the expense of high business risk have a distinct tendency to lower liabilities. Concerning the current ratio, it was found that factors such as ownership type, hospital type, period of establishment, asset structure, and business risk are the more significant variables. The current ratio of public hospitals is higher than that of both not-for-profit private hospitals and for-profit private hospitals, and the current ratio of tertiary medical institutions is higher than that of general hospitals. As business risk is higher in hospitals compared to other businesses, the current ratio becomes higher; this is because it is assumed that for fear of bankruptcy, hospitals lessen liabilities to total assets. On the other hand, as hospitals become older, the fixed assets to total assets become lower. It is remarkable that in hospitals, the factors affecting liabilities to total assets have an opposite regression coefficient sign against factors affecting current ratio. It brings out the same results borne out by the old financial theories and researches, in which a lot of the liabilities of hospitals are considered as the cause of worsening liquidity. Therefore, it is very important for hospitals to maintain a sound financial structure in order to survive using the rational acquisition and maintenance of capital.

Usability of Project Finance with Sinking Fund (감채기금을 이용한 프로젝트 파이낸스의 유용성)

  • Han, Sang Jun
    • International Area Studies Review
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    • v.15 no.3
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    • pp.369-392
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    • 2011
  • A pure project finance is exposed to high default risk because it is made solely based on the business value of the project. Project finance with sinking funds can reduce the high default risk, in that it uses sinking funds to ensure the principal without requiring collaterals or guarantees. In view of economic efficiency, this paper analytically compares project finance with sinking funds to usual project finance and derives the condition for its superiority in corporate tax saving. Because sinking funds generate the repayments for the principal with compounding interest rates, in terms of effectiveness, project finance with sinking funds is suitable for long-term projects whose period is longer than 10 years. Pension funds can be good sources for project finance with sinking funds, since they should be managed to ensure stable investment returns for long periods.

Toward Optimal System of Financial Support for Higher Education (대학교육 지원체계의 합리화 방향 - 소득연계식 학자금융자제도를 중심으로 -)

  • Yun, Jungyoll
    • Journal of Labour Economics
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    • v.37 no.4
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    • pp.89-112
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    • 2014
  • This paper characterizes an optimal combination of grant and income-contingent loans (ICL) from efficiency and equity points of view as a government subsidy program for higher-education. In particular, we show that it is always desirable to introduce ICL for students regardless of their household incomes, and also provide arguments for the superiority of tax-financing system to loans with risk-premium as a financing mechanism of ICL. From policy point of view, this paper suggests a need for the extended coverage of our ICL system, while justifying its current tax-financing system.

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Optimal Capital Structure of Listed Firms - A Structural Approach: Evidence from Vietnam

  • NGUYEN, Anh Thi Van;DAO, Binh Thi Thanh
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.11
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    • pp.213-221
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    • 2021
  • The paper attempts to investigate the optimal capital structure of Vietnamese listed firms based on a structural approach. Using the data from around 70 companies in the Consumer Staples sector listed on the Vietnamese Stock Exchange during the period 2018-2020, this study finds that the optimal capital structure of examined companies has a wide range of diversification. This can be explained by the various types of actual products for each typical firm within the chosen sector. The result also confirms that a large proportion of researched firms were actually overleveraged, which is consistent with the trade-off hypothesis that firms wish to take tax advantages while using more debt, which creates the benefits from tax-shield. Furthermore, the research highlights the reversed correlation, which suggests that the lower the company's risk (the lower the sigma of the assets), the greater the optimal capital structure is suggested. Another interesting finding is that almost all consumer staples companies have a better optimal capital structure under the Leland and Toft (1996) model than under the Leland (1994) model. Furthermore, there is a strong correlation of optimal financial leverage ratio between years. In other words, the optimal debt levels of the latter year are strongly dependent on the gearing levels of the previous years.

CNN-based Recommendation Model for Classifying HS Code (HS 코드 분류를 위한 CNN 기반의 추천 모델 개발)

  • Lee, Dongju;Kim, Gunwoo;Choi, Keunho
    • Management & Information Systems Review
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    • v.39 no.3
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    • pp.1-16
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    • 2020
  • The current tariff return system requires tax officials to calculate tax amount by themselves and pay the tax amount on their own responsibility. In other words, in principle, the duty and responsibility of reporting payment system are imposed only on the taxee who is required to calculate and pay the tax accurately. In case the tax payment system fails to fulfill the duty and responsibility, the additional tax is imposed on the taxee by collecting the tax shortfall and imposing the tax deduction on For this reason, item classifications, together with tariff assessments, are the most difficult and could pose a significant risk to entities if they are misclassified. For this reason, import reports are consigned to customs officials, who are customs experts, while paying a substantial fee. The purpose of this study is to classify HS items to be reported upon import declaration and to indicate HS codes to be recorded on import declaration. HS items were classified using the attached image in the case of item classification based on the case of the classification of items by the Korea Customs Service for classification of HS items. For image classification, CNN was used as a deep learning algorithm commonly used for image recognition and Vgg16, Vgg19, ResNet50 and Inception-V3 models were used among CNN models. To improve classification accuracy, two datasets were created. Dataset1 selected five types with the most HS code images, and Dataset2 was tested by dividing them into five types with 87 Chapter, the most among HS code 2 units. The classification accuracy was highest when HS item classification was performed by learning with dual database2, the corresponding model was Inception-V3, and the ResNet50 had the lowest classification accuracy. The study identified the possibility of HS item classification based on the first item image registered in the item classification determination case, and the second point of this study is that HS item classification, which has not been attempted before, was attempted through the CNN model.

Borrowing Constraints and the Marginal Propensity to Consume (차입제약과 한계소비성향)

  • Bishop, Thomas;Park, Cheolbeom
    • KDI Journal of Economic Policy
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    • v.33 no.4
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    • pp.1-25
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    • 2011
  • Available evidence suggests that the average marginal propensity to consume (MPC) from the 2001 tax rebate in the US was not nearly as large as that from previous tax cuts. We examine if this phenomenon can be explained by the fact that the widespread use of credit cards has made borrowing accessible for most US households by constructing a model that simulates the dynamic effect of relaxed borrowing constraints. Our model uses Kreps-Porteus preferences which account for independent measures of relative risk aversion and the elasticity of intertemporal substitution, both of which can theoretically affect the willingness to save or spend. Our model shows that the average MPC drops substantially immediately after borrowing constraints are relaxed because few consumers have binding borrowing constraints at that time. The model also shows that consumers gradually reduce their wealth after borrowing constraints are relaxed, causing more of them to have binding constraints over time, which in turn causes the average MPC to rise gradually to a new steady state value that is slightly lower than the original value. This dynamic pattern of the MPC suggests that a greater ability to borrow with credit cards could explain the lower effectiveness of the 2001 tax rebate. In addition, the model predicts that consumers choose to hold lower amounts of liquid assets for precautionary reasons when they have a greater ability to borrow unsecured debt.

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A Study on the Improvement of the Blind Zones in View of Safety Laws and Regulations for the New Multi­purpose Business (신종 다중이용업소의 안전기준 사각지대 개선에 관한 연구)

  • Park, Jongkeun
    • Journal of the Korean Society of Safety
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    • v.34 no.3
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    • pp.89-95
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    • 2019
  • Currently, the legal framework for installation of safety facilities has not been implemented for new multi-purpose business excluding 23 multi-purpose business types, and therefore, there is a high likelihood of large number of casualties in case of fire accident. At present, the new multi-purpose business can start its operation only with administrative actions of the licensing agencies and registration to the tax agency, and it is difficult that the fire department, which is a competent safety management department, makes intervention them in the same way as before. In addition, as the licensing agency has no authority to restrict the business due to insufficient implementation of safety facilities, a lot of civil complaints occur, which causes difficulties in changing concerned laws and regulations rapidly. In this study, it is considered to analyze the legal system, status of safety management of multi-purpose business, type of new multi-use facility and characteristics of fire risk. Based on such analysis results, this study will suggest the improvement plan to solve the blind zones in the safety management, which enables the multi-purpose business to be operated within the legal framework.

Discrimination of biological and artificial nicotine in e-liquid

  • Hyoung-Joon Park;Heesung Moon;Min Kyoung Lee;Min Soo Kim;Seok Heo;Chang-Yong Yoon;Sunyoung Baek
    • Analytical Science and Technology
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    • v.36 no.1
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    • pp.22-31
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    • 2023
  • As the use of e-liquid cigarettes is rapidly increasing worldwide, it multiplies the potential risk undisclosed to the health of non- and smokers. To reduce the hazard, each country has its own set of regulations for controlling e-liquids. In Korea, the narrow definition of tobacco makes it difficult and have been steadily occurring tax evasion exploiting the difference in natural and artificial nicotine. Therefore, it is very important to distinguish source of nicotine for their regulation. To find biochemical discriminant markers, this study established analysis methods based on high-performance liquid chromatography coupled with diode array detector (HPLC-DAD) and high-performance liquid chromatography coupled with triple Quadrupole mass spectrometry (HPLC-MS/MS) for nicotine enantiomers and tobacco alkaloids targeted using the difference in pathways of nicotine biosynthesis and chemical synthesis. The method was validated by experimenting linearity (R2 > 0.999), recovery (80.99-108.41 %), accuracy (94.11-109.73 %) and precision (0.04-8.27 %). Then, the results for discrimination of the nicotine obtained from analysis of 65 commercial e-liquid products available in Korean market was evaluated. The method successfully applied to the e-liquids and one sample labelled 'synthetic nicotine' for tax exemption was found to contain a natural nicotine product. This method can be used to determine whether an e-liquid product uses natural or artificial nicotine and monitor non-taxable e-liquid products. The method is more scientific than the existing one, which relies only on field evidence.

Delisting risk of firm with a new technological innovation and research & development intensity (기술도입기업의 연구개발 집약수준에 따른 시장퇴출위험에 관한 실증연구)

  • Lee, Po-Sang
    • Journal of Digital Convergence
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    • v.17 no.10
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    • pp.141-147
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    • 2019
  • This paper analyzes the price movements and the possibility of delisting by research and development intensity of firm which made technological innovation disclosure in the Korean stock market. The sample consists of firms listed on the KRX which made technological information disclosure between January 2002 and December 2014. The results are summarized as follows. The higher R&D intensity is observed for the delisted firms group. The logit regression result shows that the research and development intensity is a significant predictor of the possibility of delisting. This shows that exposure to the risk of delisting may increase as the proportion and uncertainty of intangible assets in the assets of individual firms increases. This empirical result is expected to serve as a good guide line for the stakeholders.

The Effect of Business Strategy on Audit Hours (기업의 경영전략이 감사시간에 미치는 영향)

  • Lee, Yu-Sun;Do, Kee-Chul;Kim, Min-Hee
    • Journal of the Korea Convergence Society
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    • v.13 no.4
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    • pp.321-329
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    • 2022
  • This study analyzes how companies of prospector type with inherent risks from new products and R&D costs affect audit hours, and further analyzes how they affect rank-specific audit hours. Samples were empirically analyzed using samples from 2018 to 2019 for KOSPI-listed and KOSDAQ-listed companies. As a result of the analysis, first, it was found that auditors were aware of the inherent risks of companies of prospector type and were striving to improve audit quality. Second, it was found that the corresponding degree of risk differs depending on the position and role in the audit team, so higher efforts were made in core positions with high risk levels. The results of this study are meaningful in verifying how the type of Business Strategies affects the audit efforts and resource input of auditors who are external parties, not internal factors such as financial reporting quality or tax avoidance. It also has important implications that a company's Business Strategies can be an significant factor to consider in preparing policies and systems for improving audit quality.