• 지역과문화
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• v.6 no.2
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• pp.77-104
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• 2019

This study examines the efficiency of using local cultural resources in local governments. The study does so by DEA(Data Envelope Analysis) using data from the year 2017 for 17 local governments in Korea. In addition, this study tries to estimate environmental efficiency of local cultural resources. For this, the 'Total Efficiency' including the output variables related to the local cultural resource environment was analyzed. After than It compared the 'Total Efficiency' with the 'Utilization Efficiency', to estimate the 'Environmental Efficiency' of local cultural resources. The followings are results which are significant statistically. Firstly, it was evaluated that five of the 17 local governments utilized the local cultural resources efficiently. Secondly, it was result that the inefficiency of the other local governments was relatively influenced by the economies of scale than PTE(Pure Technical Efficiency). Thirdly, It has been confirmed that environmental aspects such as cultural properties and cultural infrastructure have a considerable impact on the increase or decrease of efficiency in local governments. The difference in the efficiency of local governments are influenced by the population density. In order to improve the efficiency in the future, it is necessary to adjust the appropriate level of input according to the local population estimate, which is a major consumer of the local cultural resource utilization. In addition, the local festivals and village festivals held by local governments should be checked to improve in quality by eliminating inefficiencies. Also, it should be considered of environmental factors together, when analyzing the efficiency of the local cultural resource in local governments.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.175-176
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• 2014

본고에서는 교육 빅데이터의 개념, 가치, 처리 기술 및 분석 방법 등을 탐색하였다. '온라인과 오프라인 교수 학습 활동의 투입, 과정, 산출을 통해 생산되는 국가, 지역, 학교, 교사, 학생 수준의 자료'로 정의할 수 있는 교육 빅데이터는 Hadoop으로 대표되는 분산 컴퓨팅 기술을 통해 효율적으로 처리할 수 있다. 대규모 교육 자료에서 의미있고 유용한 결과를 도출하기 위해 주로 사용되는 분석 방법에는 교육 데이터 마이닝, 학습 분석학과 시각 자료 분석학이 있다. 교육 데이터 마이닝은 학생과 교사, 학교의 다양한 수준에서 자료를 폭넓게 분석하는 측면이 강한 반면에 학습 분석학은 학생 수준에서의 자료 분석에 더 초점을 맞추는 경향이 있으며, 시각 자료 분석학은 자료에 대한 분석 자체보다는 분석 결과를 효과적으로 표현하는 방식에 초점이 주어져 있다.

• Environmental and Resource Economics Review
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• v.13 no.2
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• pp.195-218
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• 2004

This paper explores the impact of pollution abatement cost on trade balance. First, We derive price pressure of spending pollution abatement cost using I-O table. Then the analysis is extended to the impact on trade balance by manufacturing sectors. The paper explicitly includes indirect effect of pollution abatement cost that is the effect through the change of the other sector prices and excluded in the previous studies. The results show that the impact of pollution abatement cost on trade balance is 0.30~0.46% of total trade volume of Korea. This is lower than that of the United States in 1970's.

• The Korean Journal of Financial Management
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• v.22 no.2
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• pp.71-89
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• 2005

The purpose of this research is to examine X-efficiency of Korean local credit unions in 2001 by employing the stochastic frontier approach. This study uses the intermediation approach in order to define outputs and inputs of the credit unions. We define the outputs as the amounts of loans, and securities. The inputs are labor, deposit and physical capital. The price of labor is estimated by dividing the total wages by the number of employees. The price of deposit equals total interest divided by total deposit, and the price of physical capital is also computed to divide the total sales and administrative expenses by the physical capital. By the result of this study, the average efficiency score is 0.81. This fact indicates that credit unions can reduce their inputs by 19% for the given outputs. If results are arranged into quartiles based on the efficiency, inefficiency of top 25% credit unions is below 9%, and half of them is over 17%. In addition, e result shows that the efficiency is significantly influenced by region and size even if credit unions in Seoul and Daegu showed little difference in efficiency by size. Generally, medium size credit unions are more efficient than large size.

• Journal of Korea Port Economic Association
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• v.26 no.2
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• pp.82-98
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• 2010

The purpose of this paper is to suggest the efficiency measurement way of Korean seaport by using Average Index Transformation model of fuzzy DEA(Data Envelopment Analysis). Two inputs[cargo handling capacity, and berthing capacity], and outputs[cargo handling amount, and the number of ship calls] are used in 1995 and 2004 for 26 Korean seaports. Empirical main results are as follows: First, Tongyung, Gohyun, Okpo, and Sogcho Ports are efficient, and Yeasu Port shows the high efficiency level over 95% under input oriented CCR model. Gohyun and Sogcho Ports showed the most efficient score under average index transformation model. Okpo and Yeasu Ports increased their efficiency scores as the lamda(λ) values are up. The empirical results of fuzzy DEA average index transformation model for Wando, Yeasu, and Seoguipo ports showed that if the lamda values are higher, the efficiency scores are also higher. The main policy implication based on the findings of this study is that the management manager of Ministry of Land, Transport and Maritime Affairs in Korea should introduce the fuzzy DEA average index transformation model for deciding the size of inputs including the port investment amount and evaluating the port efficiency.

• Journal of Technology Innovation
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• v.24 no.4
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• pp.27-53
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• 2016

This case analyzed the efficiency of 79 R&D projects performed within one private research center in machine tools industry. DEA was used for efficiency analysis. Input variables were R&D investment expense and man-month. Output variables were achievement rate on target development period and expected net sales within 5-years. Samples are divided into product development, Prior technology development, and control technology development. The key result is that Prior technology showed the lowest efficiency because of high uncertainty. It was so difficult to determine its goals and to make its specific plans. With respect to scale, the proportions of CRS(constant returns to scale) were 34.6%, 14.3% and 38.9% for product development, prior technology, control technology respectively. As for IRS(increase returns to scale), they were 53.8%, 85.7% and 38.9% for product development, prior technology, control technology respectively. As for DRS(decrease returns to scale) they were 11.5%, 0% and 22.2% for product development, prior technology, control technology respectively. On the whole, in this case, insufficient input was more problematic than excessive input, which means the lack of investment in R&D. Prior technology can be the source of the future competitiveness of companies. To operate inefficient DMU efficiently, the optimal input should be managed and it is derived from comparison with the reference group.

• Communications of Mathematical Education
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• v.31 no.2
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• pp.167-185
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• 2017

The purpose of this study is to analyze the actual states of the elementary school and the middle school mathematics education as a curriculum quality-management. To this end, this study surveyed the input, process and output phase in the school curriculum to the teachers, students and parents. The results are like these: First, the achievement standards contents in the elementary school and the middle schools are relevant in the input phase. Second, the teachers in the elementary school have more concern on the teaching & learning methods than those in the middle school in the process phase. Third, students and parents' satisfaction on the cognitive and affective domain in the elementary school is higher than that in the middle school in the output phase. This study suggests that these result has to be affected to make ways to apply the new curriculum, and the curriculum revision system has to be established to revise the curriculum as an important method of quality management.

• Industry Promotion Research
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• v.9 no.1
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• pp.259-273
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• 2024

In this study, 31 provincial-level administrative regions in China from 2011 to 2021 were taken as the research objects, and the super-SBM model was used to measure the regional eco-efficiency with capital, labor, land and resource input as input variables, GDP and green coverage as the desirable outputs, and wastewater, waste gas and solid waste emissions as the undesired outputs. Tobit regression was used to analyze the effects of external environmental factors on eco-efficiency. The results showed that the average level of eco-efficiency in China was low, and the eco-efficiency in the eastern region was higher than that in other regions, and there were great differences in the western, northeast and central regions.

• Electronics and Telecommunications Trends
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• v.30 no.2
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• pp.59-67
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• 2015

소프트웨어(이하 SW)산업은 빠른 기술개발을 바탕으로 새로운 분야가 등장하는 산업이다. 특히 최근에 SW산업이 시스템 SW, 지능형 SW 그리고 인터넷 SW 부문으로 크게 획정되면서 세 부문별로 서로 다른 성장형태를 보여주고 있다. 그러나 SW산업 환경에서 산업분석 및 경제성분석에 사용되는 산업연관분석표는 세부적 경제와 산업을 분석하는 데 한계점이 존재한다. 본 연구에서는 특정한 산업(즉 SW산업)을 몇 개의 새로운 부문(3개 부문)으로 분할하는 기존 산업연관표의 분할방법을 소개하고, 분할된 투입산출표를 이용하여 SW산업 구조분석에 적용하였다.

• Electronics and Telecommunications Trends
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• v.26 no.4
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• pp.146-151
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• 2011

산업연관표에 의한 특정 산업구조분석은 거시적이고 포괄적인 우리나라 산업의 투입(input)과 산출(output)정보를 정리한 산업연관표에 의한 산업구조변화 추이분석이라는 관점에서 미래 해당 산업구조변화에 대한 진화방향을 파악할 수 있기 때문에 중요한 산업구조분석으로 활용된다. 먼저 본 연구에서는 2000년, 2005년 그리고 2008년도 산업연관표를 통하여 방송통신산업(ICT 산업)의 과거 10년간 구조변화를 비교 분석하였다. 또한 우리나라와 유사한 산업구조를 가진 일본의 2000년과 2005년도의 산업연관표를 이용하여 양 국가의 방송통신산업구조를 비교 분석하였다. 마지막으로 방송통신산업구조 변화의 분석결과의 정책적 시사점으로 바람직한 기술 및 산업정책방향을 제시하였다.