• The Journal of Asian Finance, Economics and Business
• /
• 제5권3호
• /
• pp.43-50
• /
• 2018

The paper aims to investigate the impact of trade cost on export: A Case Study Vietnam. The study conducts a static linear panel data analysis on annual data covering bilateral export between Vietnam and 70 major importers of Vietnam from 2001 to 2013. The gravity model has been one of the most successful applications in empirical trade. In this paper we apply the gravity model to estimate the impact of trade cost on Vietnamese bilateral export value. The paper uses gravity model to estimate the impact of trade cost on Vietnamese bilateral export value. The empirical results derive from a static linear panel data analysis (fixed effects model) indicates that trade cost plays a crucial role in determining the export value that occurs between Vietnam and trading partners. Besides, population of importing country, trade openness of importing country, gross domestic product of importing country and gross domestic product of Vietnam are also significant determinants of Vietnamese bilateral export value. The main findings indicates that trade cost plays a very important role in the Vietnamese bilateral export performance. This suggests that the Vietnamese government should attempt to improve domestic trade costs to enhance competitiveness and increase export growth sustainably.

• 대한건축학회논문집:구조계
• /
• 제34권2호
• /
• pp.41-48
• /
• 2018

Carbonation is one of the major detrimental factors to the reinforced concrete structures owing to penetration of atmospheric CO2 through the micro pores, thereby it reduces the durability of the concrete. The maintenance periods and cost for concrete according to the coefficient variation of different finishing materials is documented in literature. However, it is required to carry out the systematic and well planned studies. Therefore, keeping them in mind, surface repair was carried out to the carbonated concrete and the maintenance cost was calculated to measure the durability life after repair with different variable. The deterministic and probabilistic methods were applied for durability and repair cost of the concrete. In the existing deterministic model, the cost of repair materials increases significantly when the concrete structure reaches its service life. In present study using a stochastic model, the maintenance period and cost was evaluated. According to obtained results, there was no significant difference in the number of maintenance of the coefficient variation. The initial durability has a great influence on the maintenance time and cost of the structure. Unlike the deterministic model, the probabilistic cost estimating model reduces the number of maintenance to the target service life expectancy.

• International Journal of Computer Science & Network Security
• /
• 제21권4호
• /
• pp.84-92
• /
• 2021

Care services are a significant asset in human life. Care in its overall nature focuses on human needs and covers several aspects such as health care, homes, personal care, and education. In fact, care deals with many dimensions: physical, psychological, and social interconnections. Very little information is available on estimating the cost of care services that provided to orphans and abandoned children. Prediction of the cost of the care system delivered by governmental or non-governmental organizations to support orphans and abandoned children is increasingly needed. The purpose of this study is to analyze the care cost for orphanage organizations in Saudi Arabia to forecast the cost as well as explore the most influence factor on the cost. By using business analytic process that applied statistical and machine learning techniques, we proposed a model includes simple linear regression, Naive Bayes classifier, and Random Forest algorithms. The finding of our predictive model shows that Naive Bayes has addressed the highest accuracy equals to 87% in predicting the total care cost. Our model offers predictive approach in the perspective of business analytics.

• 자원ㆍ환경경제연구
• /
• 제11권4호
• /
• pp.659-687
• /
• 2002

This study used a discrete choice model to investigate an association between air pollution and hospital visits for acute respiratory symptoms with the national health interview survey conducted in 1998 in South Korea. The results showed that $NO_2$ and TSP were significantly related to hospital visits in a single-pollutant model, but when they were simultaneously considered, only $NO_2$ remained significant. It was estimated as $NO_2$ level increased by 10%(0.0027ppm) from 0.027ppm (the mean $NO_2$ level), hospital visits increase by 0.176%. This study also measured respondent's out-of-pocket expense and the time cost for commuting and waiting for the visit. We found that on the average, out-of-pocket expense is 5,600 won per hospital visit, but the total cost per hospital visit is measured at 33,440 won with time cost of commuting and waiting at 27,840 won. Time cost was over 63.6~83.3% of the total cost per hospital visit.

• 한국건설관리학회논문집
• /
• 제7권5호
• /
• pp.159-166
• /
• 2006

우리나라의 공공 건설공사 예정가격 산정 근거로 사용되어 온 표준품셈은 다양한 시공환경, 공법, 기술수준 등에 따른 공사비의 변동을 현실적으로 반영하지 못하여 부실시공이나 과다비용의 산정과 같은 문제점이 대두되었다. 이에 정부는 표준품셈을 2004년부터 점차 축소하는 대신 실적공사비 제도를 단계적으로 도입키로 했다. 본 논문에서는 과거 낙찰되었던 계약단가 뿐 아니라 모든 입찰단가 자료를 활용하여 실적단가를 산출하기 위한 일련의 절차 및 방법론을 제시하였다. 본 절차에서 주요하게 다룬 사항은 신뢰성 있는 데이터 확보를 위해 저가입찰 등과 같은 전략적 입찰단가 추출에 대한 분석기준이다. 과거의 입찰단가 자료의 기술통계 결과를 바탕으로 두 차례에 걸쳐 전략적 입찰단가로 의심되는 통계적 이상치를 제거하고, 시간에 따른 보정을 통해 현가화하여 현재 활용가능한 실적단가를 산출하였다. 또한 입찰방식 및 예상낙찰률에 따른 입찰단가의 변동특성을 분석 악하여 실적단가 보정을 위한 기초연구를 수행하였다. 제안된 일련의 분석 및 산출 과정을 거쳐 현실성 있고, 시장성을 보다 충분히 반영할 수 있는 합리적인 예정가격의 산정이 가능할 것으로 사료된다.

• Journal of Construction Engineering and Project Management
• /
• 제4권3호
• /
• pp.13-20
• /
• 2014

Estimating time and cost is an important mission in the early phase of a construction project, especially in feasibility study. It provides a foundation for making decision whether or not the project is performed on schedule and within budget. Thus, reliability of this estimate plays a key role in measuring the success of a project. This study was carried out to investigate the time-cost relationship in building construction projects in Bangladesh. The mathematical equation used in this study is based on Bromilow's equation. The research data were collected from sixty-three completed building projects through questionnaire survey. Type of clients, type of projects, and tender methods are the project characteristics considered in this study. The results of analysis indicated that the Bromilow's time-cost (BTC) models developed for each project characteristic are appropriate due to quite high coefficient of determination and relatively small mean percent errors. Among them, the forecasted model for time and cost according to tender methods is the best fit model. It is concluded that the BTC model could be applied in building construction project to predict its time and cost in Bangladesh. Four different regression models were also developed in this study. The results of BTC model between some selected countries were compared to gain the comprehensive view.

• 한국병원경영학회지
• /
• 제25권4호
• /
• pp.60-75
• /
• 2020

Purpose: This study aims to develop a cost model for NRP (Nursing Residency Program) operation and ultimately provide evidence for financial factors for NRP operation in the future by simulating a cost model. Methodology: This study developed a model for the NRP education cost calculation model based on the review of Hansen's model, which has systematically reported on the development and operation of NRP, and discussions with nursing education experts at a university-affiliated hospital. With the simulation, it was intended to predict nurses' supply and demand in the long term and to calculate changes in long-term education costs. Findings: Firstly, turnover model, term model, cost model necessary for calculating a model for the NRP education cost calculation model was set up. Secondly, the simulation showed the following results; 1) the proportion of newly graduated nurses less than 5 years of working decreases gradually over time, which will make the composition of nurses more balanced. 2) In the first year of the partial introduction of NRP, the cost of training new nurses was about 2.1 times higher than before. After the introduction, the training cost in the 13th year began to be lesser than before the introduction, and in the 25th year, it decreased by 28.1% compared to before the introduction. Practical Implications: Firstly, NRP would be an effective way to solve the higher turnover and frequent departure of new nurses and the imbalance of nurses' composition. Secondly, although the costs of NRP are incurred in the early stages, in the end, NRP training costs are reduced compared to before the introduction of NRP. It is necessary to systematically understand the contribution effect of NRP by analyzing the economic value of NRP considering financial and non-monetary returns in the future and providing a basis for decision-making related to NRP implementation.

• 산업경영시스템학회지
• /
• 제18권34호
• /
• pp.161-172
• /
• 1995

The paper examines the cost analysis and economic evaluation for manufacturing system installation in a metal industry. The evaluation procedure is consist of four steps. 1) Attribute determination of manufacturing system 2) Cost Estimating 3) Alternative and Model determination of manufacturing system 4) Economic Analysis. The impact of manufacturing system installations on employment displacement and strategic benefit is discussed and suggested to make a coherent determination of company's objective.

• 스마트미디어저널
• /
• 제11권7호
• /
• pp.19-27
• /
• 2022

인공지능 소프트웨어 시장은 2020년부터 2025년까지 6배 규모로 성장할 것으로 예상된다. 그러나 소프트웨어의 개발 절차가 표준화 되어 있지 않고 비용 산정 기준이 없다. 이에 따라 인공지능 소프트웨어 개발 업체마다 각자의 개발 절차에 따른 투입 공수를 산정하고 이를 개발비용의 근거로 제시하고 있으나 개발업체마다 상이한 개발 절차와 소요 공수의 규모 때문에 품질과 비용에 대한 불신이 커지고 있다. 본 연구에서는 대량의 데이터로 학습을 진행하고 알고리즘을 도출하여 적용하는 인공지능 기반 소프트웨어의 개발단계를 정의하고 개발업체들을 대상으로 개발단계별 소요 공수에 대한 설문을 진행하여 소요 공수를 수집하였다. 수집된 개발단계별 소요 공수간의 상관분석과 회귀분석을 실시하여 개발단계별 소요 공수 예측 모형을 도출하였으며, 모형을 실험한 결과, 수집된 소요 공수 대비 92%의 정확도를 보였다. 본 연구에서 제안한 소요 공수 예측 모형은 공수와 비용을 추정하는데 간단하게 활용할 수 있는 도구가 될 것으로 기대된다.

• 한국건축시공학회지
• /
• 제21권2호
• /
• pp.105-112
• /
• 2021

국내 해체시장 규모는 꾸준히 증가되고 있는 반면, 해체공사비 예측 연구는 미흡한 실정이다. 이에 본 연구에서는 해체공사비 변동에 영향을 미치는 다양한 속성을 반영한 공사비 예측 모델을 제시하고자 하였다. 이를 위하여 기존 문헌고찰과 전문가 자문을 바탕으로 13개의 영향요인과 실적공사비 데이터를 수집하였으며, 회귀분석을 통해 2개의 예측모델을 구축하고 예측정확도를 평가하였다. 그 결과, 약 6~12%의 평균 오차율을 보였으며, 예측 모델로서의 활용 가능성을 모색할 수 있었다. 본 연구 결과는 향후 국내 해체공사의 적정 공사비산정 및 관련 기준 정비에 기여할 수 있을 것이다.