• Environmental and Resource Economics Review
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• v.20 no.3
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• pp.459-487
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• 2011

A/R CDM project has properties such as irreversibility and uncertainty that Real Option Analysis can be applied to its modelling. This study tries to model A/R CDM using Real Option under CER price uncertainty, and conducts empirical test with the Posco A/R CDM Project case. For precise comparison and decision-making, l-CER's expected present value is calculated from the Spot CER price. As a result, the critical value of the project is lower than the expected l-CER price, which means that the decision to invest made by the project owner is profitable. We can also find out that the level and the range of the discount rate, where is applied to, affect the result; the critical value of the project and the decision-making.

• Journal of the Korean Chemical Society
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• v.48 no.1
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• pp.46-52
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• 2004

The effect of crystallinity on the structural stability of layered manganese oxide has been systematically investigated. While well-crystalline manganate was prepared by solid-state reaction-ion exchange method, nanocrystalline one was obtained by Chimie-Douce reaction at room temperature. According to micro-Raman and Mn K-edge X-ray absorption spectroscopic results, manganese ions in both the manganese oxides are stabilized in the octahedral sites of the layered lattice consisting of edge-shared MnO6 octahedra. The differential potential plot clarifies that the layered structure of nanocrystalline material is well maintained during electrochemical cycling, in contrast to the well-crystalline homologue. From the micro-Raman results, it was found that delithiation-relithiation process for well-crystalline material gives rise to the structural transition from layered to spinel-type structure. On the basis of the present experimental findings, it can be concluded that nanocrystalline nature plays an important role in enhancing the structural stability of layered manganese oxides.

• The Korean Journal of Financial Management
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• v.18 no.2
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• pp.81-98
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• 2001

본 연구는 우리나라 예금이자율 변화의 움직임에 대한 방향성과 그 원인을 분석하며, 이를 실증적으로 검토함을 목적으로 하고 있다. 실증분석은 1999년 7월부터 2001년 6월까지의 주별 자료를 대상으로 우리나라 14개 금융기관의 3개월 만기 양도성예금증서와 환매채, 표지어음을 대상으로 하였으며, 시장이자율의 대용변수로는 3개월 만기 기업어음을 사용하였다. 기존 연구에서 사용되었던 MMDA의 경우, 우리나라에서는 일정기간동안 고정되어 있는 것으로 나타나 예금이자율 변동에 대한 연구를 하는데 있어서 적합하지 않아 이를 제외하였다. 실증분석결과 우리나라 금융기관의 예금이자율의 움직임은 기존 연구에서 나타난 결과와 상이하게 상향경직성이나 하향경직성을 갖고 있지 않으며, 상향과 하향의 움직임에서 큰 차이를 보이지 않고 있다. 따라서 비대칭조정모형보다는 대칭조정모형이 적합한 것으로 나타났다. 한편, 예금이자율 변화에 대한 원인을 분석하기 위하여 시장이자율의 변화와 백분율로 나타난 예금이자율의 홀수가격결정, 시장이자율과 예금이자율의 차이 등에 대해 검토한 결과 상당수의 금융기관에서 시장이자율과 예금이자율의 차이에 의해 예금이자율이 변화하는 것으로 나타났다. 그러나 시장이자율의 변화와 홀수가격결정은 미미하거나 전혀 영향을 미치지 않는 것으로 분석되었다.

• 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.

• Proceedings of the Korean Fiber Society Conference
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• 2003.04a
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• pp.333-334
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• 2003

Poly(trimethylene terephthalate)(PTT)는 결정화 속도가 빠른 결정성 고분자로 최근들어 섬유화에 성공한 이후 활발한 연구가 진행되고 있다. 그러나 U의 빠른 결정화속도와 높은 결정화도 때문에 제품 제조시 곤란을 받고 있다. 한편, PET의 경우 비결정성 고분자인 poly(ethylene isophthalate)(PEI)를 공중합시켜 유리전이온도와 결정화도를 낮추고 결정화속도를 늦추어 PET 섬유의 염색성 및 투명도를 향상시키고, 저온에서의 공정처리를 가능하게 할 수 있다[1-3]. (중략)

• Journal of Educational Research in Mathematics
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• v.14 no.4
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• pp.435-447
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• 2004

There are divergent opinions about condition of triangle-determining. The purpose of this study was to compare those opinions and to identify cause of this phenomena. As a result of our study, we got to find out significant characteristics of proposition related to condition of triangle-determining. These aspects shows what cause of that phenomena is. First, that proposition is used as a theortical tool, not as a practical one. Second, that proposition presupposes that a triangle exists. Third, that proposition is connected with minimality and generality. However, our analysis is for teacher, not for student. Thus, we suggest a guiding principle as well as a guiding method in relation to teaching of that proposition.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.470-470
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• 2018

본 연구는 2014년 부산지역에서 발생한 집중호우에 따른 피해상황을 읍 면 동 단위의 행정구역에 대해 조사하고, 각 행정구역별 수해복구사업의 우선순위를 결정 할 수 있는 방법을 모색하는 것을 목표로 한다. 피해현황은 인명피해(사망, 이재민 수), 건물 및 선박, 농경지 침수에 의한 피해, 공공시설물에 대한 피해를 조사하였다. 또한 피해 요인별 피해액을 집계하여 수해복구사업의 평가기준으로 이용하였다. 사업의 경제성은 B/C분석 결과를 통해 반영하였다. 각 행정구역에 대한 우선순위는 다기준분석 중 PROMETHEE, ELECTRE 방법으로 분석하였고 표준화 방식은 T-Score방식을, 가중치는 엔트로피 방식으로 결정하여 분석에 반영하였다. 본 연구에서는 실제 발생한 호우에 대한 피해복구사업에 적용하여 검증을 시도하였으나, 향후 치수사업의 다양한 대안을 선정하고 우선순위를 결정하여 실제 도시개발 및 정비 사업 등으로 분야를 확장할 수 있을 것으로 기대한다.

• Korean small business review
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• v.42 no.4
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• pp.147-172
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• 2020

This study presents the determinants of R&D efficiency as the focus on CEO's competency, which influences R&D competency and R&D efficiency. The research samples are 6,708 technology-innovation small and medium-sized enterprises (SMEs). The independent variable is the R&D competency(existence of R&D organization, level of R&D personnel, R&D personnel management, R&D investment), the dependent variable is R&D efficiency. The moderator is the CEO's competency(experience level in its own industry, technical knowledge level, technology management strategy, management ability). R&D efficiency measures the relationship between inputs(level of R&D personnel, R&D investment) and outputs(patent applications, prototype) by the DEA. and the determinant analysis uses Tobit regression. As a result of the analysis, the existence of R&D organization and R&D personnel management is positively significant, level of R&D personnel and R&D investment is negatively significant for R&D efficiency. The moderating effect of CEO's competency on the relationship between the R&D competency and R&D efficiency is significant determinants of CEO's experience(experience level in its own industry, technical knowledge level) and technology management strategy. The finding is to measure the efficiency of R&D performance, and to analyze its determinants as the moderating effect of CEO's competency, using the technology appraisal data. In the conclusion session, the limitations of the research and future research directions were discussed.

• The Korean Journal of Financial Management
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• v.9 no.2
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• pp.343-367
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• 1992

이 연구는 시계열분석(時系列分析)에 의해 주식수익율(株式收益率)의 변동성(變動性)을 예측하는 모델을 개발하고 그것에 의해 도출된 예측치(豫測値)의 실제변동성(實際變動性)에 대한 예측력(豫測力)을 미국의 주식시장자료를 사용하여 검증 비교하였다. 구체적으로 수익률변동성에 대한 (1) 역사적(歷史的) 변동성(變動性), (2) ARMAX 예측치(豫測値), (3) GARCH 예측치(豫測値) 등이 도출되고 그것들의 예측력이 통계적 비교와 회귀분석 등의 여러차원의 평가기준에 의해서 비교된다. 실증결과에 따르면 선택된 독립변수들에 근거한 ARMAX 예측치가 다른 예측치들 보다 모든 평가기준에서 우수한 예측력을 보였다. GARCH 예측치는 기대와는 달리 만족스러운 예측력을 보여주지 못했다. 본 연구에서 예측력이 실증된 ARMAX 예측치를 다양한 옵션가격결정모형의 변동성투입요소로 사용하는 것은 보다 정확한 옵션의 이론가격을 도출하는 데 크게 기여할 것이다. 또한, 이 논문의 실증결과는 각종의 자산가격결정이론, 수익률분포이론 등의 학문적 분야 뿐만 아니라 주식수익률 변동성의 동향이 일반투자자들의 투자전략에 결정적 영향을 미친다는 점에서 실무적인 관점에서도 시사하는 바가 크다고 할 것이다.

• Information Systems Review
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• v.25 no.1
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• pp.47-73
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• 2023

Management decision-making based on artificial intelligence(AI) plays an important role in helping decision-makers. Business decision-making centered on AI is evaluated as a driving force for corporate growth. AI-based on accurate analysis techniques could support decision-makers in making high-quality decisions. This study proposes an effective decision-making method with the application of multi-label feature selection. In this regard, We present a CFS-BR (Correlation-based Feature Selection based on Binary Relevance approach) that reduces data sets in high-dimensional space. As a result of analyzing sample data and empirical data, CFS-BR can support efficient decision-making by selecting the best combination of meaningful attributes based on the Best-First algorithm. In addition, compared to the previous multi-label feature selection method, CFS-BR is useful for increasing the effectiveness of decision-making, as its accuracy is higher.