• Title/Summary/Keyword: 부채보유

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Development of an OLAP Database System for SME Growth Support -Centering around the Small Business Policy Funds Support Project- (중소기업성장지원 OLAP 데이터베이스 시스템 구축 - 중소기업 정책금융지원 사업을 중심으로-)

  • Hwang, Man-Mo;Choi, In-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.5
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    • pp.157-167
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    • 2012
  • The purpose of this paper is to develop an OLAP (online analytical processing) database system that supports the SMBA (Small and medium Business Administration) policy funding. A heterogeneous dimension schema will be central in staged support of policy funds. In this paper, therefore, we designed the FREQUENCY dimension table which has a heterogeneous dimension schema structure. In this paper, we made a model of measuring SME (small and medium-sized enterprise) size first. The model is composed of six determinants of firm growth such as sales, employment, own technology, the operating profit to sales ratio, the debt ratio, and the current ratio. We developed the OLAP database system by using three dimensions including the FREQUENCY dimension, and using the model of measuring SME size. Also we assessed past decisions on policy funding in the Small Business Policy Funds Support Project (2004-2007) by using the OLAP database system.

Analysis for Flood Quantile Estimates at Ungauged Sites in Arid and Semi-arid Regions Based on Regional Frequency Analysis (지역빈도해석을 통한 건조지역의 미계측 지점 확률홍수량 추정을 위한 연구)

  • Jung, Kichul;Kang, Boosik
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.51-51
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    • 2017
  • 지역빈도해석은 짧은 기간의 자료를 보유하고 있는 계측 지점이나 자료가 없는 미계측 지점에서의 확률수문량을 산정하기 위하여 많이 쓰여 진다. 지역빈도해석을 실시하기 위한 조건으로는 우선 수집된 하천유역들을 대상으로 수문학적 동질 지역을 구분하는 것이 중요하다. 그리고 구분되어진 지역에 포함되는 모든 지점들의 자료를 빈도해석 함으로써 관심 지점의 신뢰할 만한 확률수문량을 산정하는 것이다. 그동안의 지역빈도해석은 주로 비건조지역을 중심으로 홍수와 같은 재난재해 대비 그리고 수자원 관리를 위한 연구들을 실시해왔다. 본 연구의 주 목적은 건조지역의 수자원 관리를 위해 건조지역 하천유역을 중심으로 지역빈도해석을 실시하여 신뢰할만한 확률수문량을 산정하는 것이다. 확률수문량 산정값의 정확도를 향상시키기 위해 지역빈도해석 모델에 쓰여 지는 새로운 지형학적 변수들을 제공하였고 수문학적 동질 지역을 구분 위해 수집된 각 하천유역의 형상들을 확인하여 동질 지역을 정의하였다. 예를 들면, 수지형 유역, 부채형 유역, 격자형 유역과 같은 다른 형상들을 구분하여 각 유역 형상 종류별로 동질 지역을 만들었다. 건조지역의 지역빈도해석을 위해 미국 건조지역의 105개 하천유역 유량자료들을 수집 및 이용하였다. 확률수문량 산정을 위하여 앙상블 인경신경망 (Ensemble Artificial Neural Network)과 정준 상관 계수(Canonical Correlation Analysis)를 이용한 지역빈도해석 모델을 만들었다. 제안된 모델의 수행평가와 정확성 평가를 위해 리샘플링 기법인 10-겹 교차 검증 (10-fold cross-validation), 잭나이프 (Jackknife) 기법들을 이용하였고 모델로부터 산정된 확률수문량값을 편향 (Bias), 상대 편향(rBias), 평균 제곱근 오차 (RMSE), 상대 평균 제곱근 오차 (rRMSE)를 통하여 산정 값과 실제 관측 값의 차이를 분석하였다. 그 결과 건조지역의 지역빈도해석을 위해 새롭게 제시된 지형학적 변수들을 사용하였을 때 모델의 수행능력이 향상되었음을 확인하였다. 또한 하천유역 형상에 따라 동질 지역을 구분하였을 때 향상된 확률수문량이 산정되었다. 향상된 지역빈도해석 모델을 통해 건조지역의 신뢰할만한 확률수문량을 산정함으로써 건조지역의 효과적인 수자원 관리를 위한 수공시설물 설계에 중요한 정보들을 제공할 것이다.

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Analysis of the Influence of Shipping Policies on the Expansion of Korea's Merchant Fleet Using System Dynamics (시스템 다이내믹스를 이용한 해운정책이 우리나라 외항선대 증가에 미친 영향에 관한 연구)

  • Kim, Sung-Bum;Jeon, Jun-Woo;Yeo, Gi-Tae
    • Journal of Korea Port Economic Association
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    • v.31 no.2
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    • pp.23-40
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    • 2015
  • This study measures how Korean shipping policies influence the expansion of the country's merchant fleet using system dynamics. It uses various indexes as factors influencing the gross tonnage of the Korean merchant fleet, such as the Baltic Dry Index, Howe Robinson Container Index, China Containerized Freight Index, and Worldscale Index, as well as the US dollar-Korean won exchange rate, world merchant fleet statistics, and the debt ratio of Korean shipping companies. After establishing the simulation model, the mean absolute percentage error is found to be less than 10%, confirming the accuracy of the model. Therefore, a sensitivity analysis is conducted to measure the influence of the selected shipping policies, including the gross tonnage of vessels registered under the Korean second registry system, loans of publicly owned financial institutions to shipping companies, ship investment fund, and the number of shipping companies participating in the tonnage tax scheme. The sensitivity analysis reveals that the influence of vessel tonnage and loans to shipping companies is the most significant, while that of the number of companies participating in the tonnage tax scheme is minimal.

Competitiveness Enhancement for Local Commercial Banks in Vietnam (베트남 일반은행의 경쟁력 제고에 관한 연구)

  • Dinh, Nguyen Yen Chi;Kim, Jung-Ho
    • International Area Studies Review
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    • v.21 no.2
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    • pp.171-196
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    • 2017
  • This study employed the Analytical Hierarchy Process (AHP) methodology with the enhancement of the competitiveness of Vietnamese commercial banks set as the overall goal of the model. Analysis of the survey questionnaire based on pair-wise comparisons and collected from experts in the field of banking led to three significant findings. First, banking safety is the most important evaluation criteria for the competitiveness of local commercial banks in Vietnam, followed by operating efficiency, intangible values and large scale. Second, in order to achieve the overall goal of enhancing competitiveness for local banks, securing healthy financial conditions should be made the priority. Effective management systems, strategic human resource planning and high-quality products and services all show strong connections to achieving the evaluation criteria. Third, the study found that bad debt settlement is essential in obtaining healthy financial conditions. In order to introduce effective management systems as well as high-quality products and services, technological advances are very important. Improving the quality of executives and staff is imperative for strategic human resource planning purposes.

The Efficiency of Bank Underwriting of Corporate Securities in Korea (국내 자본시장 증권인수기능의 효율성에 관한 연구 : 은행계열과 비은행계열 금융기관 비교 분석)

  • Baek, Jae-Seung;Lim, Chan-Woo
    • The Korean Journal of Financial Management
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    • v.27 no.1
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    • pp.181-208
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    • 2010
  • In July 2007, Korean government has passed "The Capital Market and Financial Investment Services Act" to further develop the capital markets and the Act was to become effective in February 2009. Using a large sample of Korean firms, we have examined (i) the effect of underwriting activities on the firm value (bond spread) comparing commercial bank and investment bank, and (ii) the determinants of the firm value changes following underwriting activities of bank. To test our goal, we collected a wide range of samples of data for bond issuing activities executed by Korean firms listed on the Korea Stock Exchange (KSE) between 2000 and 2003. Our paper is distinguished from previous studies on this subject in a way that we analyzed the effect of corporate bond underwriting activities with regard to commercial banking and investment banking. Initially, we set up a hypothesis that "Certification View" and "Conflict-of-interest View" are major driving forces behind cross-firm differences in performance following bond issuance. We find that, in general, underwriting by investment bank (securities company) brings a positive effect on the firm value (spread between bench mark rate and bond issuing rate). This result indicates that firm value has been negatively affected by the bank underwriting and provides the evidence for "Conflict-of-interest View" in Korea. Our studies have also revealed that any change in firm value following bond issuance is positively related with the firm size (total asset), operating performance, liquidity (cashflow), and equity ownership by foreign investors. Overall, our results support the view that bank underwriting activities can play an important role in determining firm value and financial strategies under "The Capital Market and Financial Investment Services Act" of 2007.

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A Study on Early Termination Payment Option of BTO PPI Projects (BTO 민간투자사업 해지시지급금 매수청구권 가치에 관한 연구)

  • Shin, Sung-Hwan
    • Korean Journal of Construction Engineering and Management
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    • v.12 no.3
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    • pp.121-130
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    • 2011
  • Real option values of early termination payment for selected BTO PPI projects are studied using binomial models. Two cases of early termination payments are considered; an option with the condition of private participants' default, and an option without the condition. Values vary depending upon parameter values such as revenues, costs, discount rates, debt ratio, and volatility of revenues. For selected projects, the option values without the default condition are estimated as 1%~7% of total project costs, whereas the option values with the default condition are estimated as 0%~1.89% of total project cost. When actual revenues differ from the forecasted revenues, apparently the option values deviate from the values based upon the forecasted revenues. When actual revenues fall short of the forecasted revenues, the option values increase by a large amount whereas the option values decrease by a small amount in the opposite case. This implies that the option values can be quite bigger than the values based upon the forecasted revenue especially when the revenue forecast uncertainty is large. This study is expected to play an important role in improving the early termination payment option policy of the government in PPI projects in Korea.

Analysis of Factors Influencing the Construction Business Management Success (건설기업의 재무적/비재무적 요인이 경영성과에 미치는 영향분석)

  • Han, Jin-Taek
    • Korean Journal of Construction Engineering and Management
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    • v.14 no.4
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    • pp.46-54
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    • 2013
  • This research outlined the factors influencing the business management success via analyzing a survey of business principles. The research process has been tested in comparison of both financial factors, which come out of objective data and non-financial factors so relevantly prioritized by combining these factors. In order to specify the factors, a check-list and analyzed essential features of category have been done with interviews and surveys. As consequently proceeding, the authors could deduce that non-financial but analytic factors such as business do-able, technician workability, compensation and benefits etc. play major roles in construction sector. The outcomes consider a construction business as fundamental human labor job as opposed to a manufacture business. On reasoning necessarily more objective research works to be done as developing this research's outcome, it is meaningful in suggesting the pivotal factors influencing the construction business management. Therefore, this research is expected to guide the direction to induce the improvement of business management to be done by further exemplary researches.

Determinants of Efficiency of Specialty Construction Companies Using DEA and Tobit Regression Models (DEA와 토빗회귀 모형을 이용한 전문건설기업 효율성 결정요인 분석)

  • Jung, Dae-Woon;Son, Young-Hoon;Kim, Kyung-Rai
    • Korean Journal of Construction Engineering and Management
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    • v.25 no.2
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    • pp.45-55
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    • 2024
  • This study analyzed the efficiency determinants of specialty construction companies by industry using the DEA model and the Tobit model. The analysis targets are 394 specialty construction companies as of 2022. As a result of analysis of efficiency determinants using 12 company characteristics as independent variables, the biggest problem for specialty construction companies was overall efficiency reduction due to rising labor costs. In addition, in a situation where construction companies' loan regulations are severe, the debt ratio was found to have a positive effect on efficiency. Company size had a different impact by industry, and the number of businesses held, credit score, and total capital turnover had an effect only on some industries. This study presents results that are an advance on existing research in that it strategically analyzes factors for improving the efficiency of specialty construction companies. However, it has limitations such as limiting the analysis to only specialty construction companies subject to external audit, insufficient number of companies subject to analysis by industry, and analyzing relative efficiency in the same category for each industry.

A Intelligent Diagnostic Model that base on Case-Based Reasoning according to Korea - International Financial Reporting Standards (K-IFRS에 따른 사례기반추론에 기반한 지능형 기업 진단 모형)

  • Lee, Hyoung-Yong
    • Journal of Intelligence and Information Systems
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    • v.20 no.4
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    • pp.141-154
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    • 2014
  • The adoption of International Financial Reporting Standards (IFRS) is the one of important issues in the recent accounting research because the change from local GAAP (Generally Accepted Accounting Principles) to IFRS has a substantial effect on accounting information. Over 100 countries including Australia, China, Canada and the European Union member countries adopt IFRS (International Financial Reporting Standards) for financial reporting purposes, and several more including the United States and Japan are considering the adoption of IFRS (International Financial Reporting Standards). In Korea, 61 firms voluntarily adopted Korean International Financial Reporting Standard (K-IFRS) in 2009 and 2010 and all listed firms mandatorily adopted K-IFRS (Korea-International Financial Reporting Standards) in 2011. The adoption of IFRS is expected to increase financial statement comparability, improve corporate transparency, increase the quality of financial reporting, and hence, provide benefits to investors This study investigates whether recognized accounts receivable discounting (AR discounting) under Korean International Financial Reporting Standard (K-IFRS) is more value relevant than disclosed AR discounting under Korean Generally Accepted Accounting Principles (K-GAAP). Because more rigorous standards are applied to the derecognition of AR discounting under K-IFRS(Korea-International Financial Reporting Standards), most AR discounting is recognized as a short term debt instead of being disclosed as a contingent liability unless all risks and rewards are transferred. In this research, I try to figure out industrial responses to the changes in accounting rules for the treatment of accounts receivable toward more strict standards in the recognition of sales which occurs with the adoption of Korea International Financial Reporting Standard. This study examines whether accounting information is more value-relevant, especially information on accounts receivable discounting (hereinafter, AR discounting) is value-relevant under K-IFRS (Korea-International Financial Reporting Standards). First, note that AR discounting involves the transfer of financial assets. Under Korean Generally Accepted Accounting Principles (K-GAAP), when firms discount AR to banks before the AR maturity, firms conventionally remove AR from the balance-sheet and report losses from AR discounting and disclose and explain the transactions in the footnotes. Under K-IFRS (Korea-International Financial Reporting Standards), however, most firms keep AR and add a short-term debt as same as discounted AR. This process increases the firms' leverage ratio and raises the concern to the firms about investors' reactions to worsening capital structures. Investors may experience the change in perceived risk of the firm. In the study sample, the average of AR discounting is 75.3 billion won (maximum 3.6 trillion won and minimum 18 million won), which is, on average 7.0% of assets (maximum 38.6% and minimum 0.002%), 26.2% of firms' accounts receivable (maximum 92.5% and minimum 0.003%) and 13.5% of total liabilities (maximum 69.5% and minimum 0.004%). After the adoption of K-IFRS (Korea-International Financial Reporting Standards), total liabilities increase by 13%p on average (maximum 103%p and minimum 0.004%p) attributable to AR discounting. The leverage ratio (total liabilities/total assets) increases by an average 2.4%p (maximum 16%p and minimum 0.001%p) and debt-to-equity ratio increases by average 14.6%p (maximum 134%p and minimum 0.006%) attributable to the recognition of AR discounting as a short-term debt. The structure of debts and equities of the companies engaging in factoring transactions are likely to be affected in the changes of accounting rule. I suggest that the changes in accounting provisions subsequent to Korea International Financial Reporting Standard adoption caused significant influence on the structure of firm's asset and liabilities. Due to this changes, the treatment of account receivable discounting have become critical. This paper proposes an intelligent diagnostic system for estimating negative impact on stock value with self-organizing maps and case based reasoning. To validate the usefulness of this proposed model, real data was analyzed. In order to get the significance of this proposed model, several models were compared to the research model. I found out that this proposed model provides satisfactory results with compared models.