• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.403-412
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• 2011

The execution of capital market law causes severe competition by promoting restructuring of financial industry. This study analyze efficiency and productivity change of the Korean Non-Life Insurance industry between pre-execution and pre-execution of capital market law using DEA model and Malmquist Index. Additionally, this study finds determinants of efficiency using tobit regression. The main results of this study can by summarized as follows. First, the efficiency with post-execution was increased comparing with pre-execution of capital market law significantly. Second, the productivity with post-execution was increased comparing with pre-execution of capital market law significantly. Third, significant determinants of technical efficiency and pure technical efficiency are weight of life planner. operation rate of assets respectively. And significant determinant of scale efficiency are firm size, operation rate of assets, weight of life planner.

• Journal of Korea Port Economic Association
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• v.26 no.1
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• pp.1-19
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• 2010

This paper focuses measuring the efficiency of container yards on container terminals in Busan (Gasungdae, Shinsundae, Gamman, New Gamman, Uam, Gamchon, PNC) and Gwangyang(GICT, KEC, Dongbu, KIT) using Data Envelopment Analysis(DEA) approach. Container terminals in Busan and Gwangyang play an important role in the region's economic development. The results show that Shinsundae was an efficient DMU during the period of 2007 to 2009, while Gamman, New Gamman and PNC were efficient terminals in 2009. The very inefficient terminals were shown to be GICT, KEC, Dongbu and KIT. GICT(2009), KEC(2009), Dongbu(2008-2009), KIT(2009) on Gwangyang Port were found to be relatively the inefficient terminals in terms of the returns to scale. This study also finds that the efficiency of Shinsundae terminal was so high as to be abel to keep its efficiency in spite of the additional increase of the inputs from 2007 to 2009. Gamman terminal was in the decreasing returns to scale in 2009, while the other terminals were in the increasing returns to scale. It means that we are able to improve the efficiency of the Gamman terminal with increasing returns to scale through enlarging the scale.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.611-620
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• 2014

This research analyzed the operation efficiency and influence factors of housing facilities for the severely disabled in Jeolla region by using the DEA model. First, the analysis of efficiency for 2012 was carried out using the CCR model. As a result, 12 DMUs were proved to be efficient, and the average efficiency of CCR was 0.85, confirming that the efficiency of all DMUs were satisfactory. Second, regression analysis was carried out to analyze the factors affecting the efficiency of the DEA model by using the Tobit model. In this case, the inputs and calculated variables were set as independent variables whereas the efficiency as the dependent variable. As a result, the detailed variables had a low significance; the overall input variables showed a negative influence while the calculated variables tended to be a positive influence. In terms of operation efficiency, there was no meaningful result in input variables besides the number of workers. Instead of expanding the input variables, the following should be made for housing facilities of the severely disabled; more efforts should be put in to improve welfare service delivery system and operating environment and structure, and the program must be supplemented as well.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.27-35
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• 2020

The Korean semiconductor industry is the top export item, and its technological prowess is also higher than that of its competitors. However, the technology gap with rivals will narrow. And the semiconductor industry is facing difficulties due to trade friction. Therefore, semiconductor firms should be more efficient in their production. we study analyzes the efficiency semiconductor firms using DEA model. We evaluate the CCR, BBC efficiency and RTS(return to scale) of 30 Korean semiconductor firms. There are a total of 13 efficient DMUs with a BCC of 1. There are a total of 6 efficient DMUs with a CCR of 1. A total of 10 DMUs were IRS in Scale Efficiency and a total of 9 DMUs were CRS in Scale Efficiency and a total of 11 DMUs were DRS in Scale Efficiency. We also suggest the semiconductor firms which can be benchmarked based on analyzed information.

• International Commerce and Information Review
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• v.13 no.1
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• pp.123-144
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• 2011

This study used a non-parametric linear program, Data Envelopment Analysis(DEA) to compare the efficiency of Korean and global container shipping companies from 2005 to 2009. The sample shipping companies were 7 Korean container shipping companies and 11 global container shipping companies. The main objective of our research is to compare their efficiency, as well as the changes in efficiency periodically according to the types of the container shipping companies. According to the periodical analysis, both Korean and Global container shipping companies showed a steady decrease in efficiency. The study showed that Korean container shipping companies have greater efficiency than their global rivals.

• Management & Information Systems Review
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• v.32 no.1
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• pp.87-109
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• 2013

This study analyzed technical efficiencies of health service industry of OECD countries with DEA and SFA approaches using 10 year data from OECD Health Database. The results can be summarized as follows: First, Korea was found the best practice among 15 OECD countries based on CRS nondirectional SBM models. Second, it was found that some inefficiencies were due to environmental factors. Third, we found that environmental factors were important factors in efficiencies of health service industry by observing that there were large efficiency changes after adjusting slacks due to environmental factors. From the above, Korea led the OECD countries in health service industry and was the most competent. But this study has some limitation since the quality and cost of health care was not taken into account.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.371-374
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• 2001

본 연구는 확률 프런티어(stochastic frontier) 분석방법을 사용, 1995년부터 1999년까지 한국, 미국, 일본의 136개 상업은행을 대상으로 효율성을 추정하였다. 분석결과에 의하면, 국내 은행의 효율성은 미국, 일본에 비하여 큰 차이가 나지 않았으나 금융위기 이후 급격히 떨어졌으며, 이후 다시 효율성이 향상된 모습을 보이고 있다. 반면 같은 기간에 국내 은행만을 대상으로 추정한 결과는 효율성의 큰 변동을 감지하지 못하고 있다. 이는 지역경제 전반에 걸친 충격이 있을 경우 국제비교를 하는 것이 타당함을 시사하고 있다.

• Journal of Korea Fair Competition Federation
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• no.107
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• pp.12-24
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• 2004

연구 결과 우리나라의 경쟁제한적 규제와 카르텔의 질이 상당히 낮음을 단적으로 보여 주고 있는데, 정태적 효율성과 동태적 효율성 평가치가 목표달성 기대수준 평가치보다 낮으며, 동태적 효율성 평가치가 정태적 효율성 평가치보다 낮게 나타났다. 또한 사회통합 기여에 관한 평가치가 가장 높으며, 과도기적 심각성 평가치가 효율성 평가치보다 대체적으로 높게 나타나고 있고, 절차적 투명성이 의외로 낮게 평가되고 있다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.11a
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• pp.350-352
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• 2018

컨테이너터미널은 적정 규모의 선석(길이)과 야드 부지를 확보하였을 때, 운영 효율성이 극대화 될 수 있다. 하지만 부산신항을 비롯한 일부 컨테이너항만은 운영주체 분리로 인해 소규모 터미널이 분리 운영되어 물류 효율성에 제약이 존재한다. 이 연구에서는 인접한 2개의 소규모 터미널에 야드 코피티션 영역을 활용할 경우, 기존에 비해 전체 터미널 운영(물류) 효율성이 크게 제고될 수 있음을 분석한다.

• Journal of the Korean Society for Railway
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• v.19 no.3
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• pp.397-407
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• 2016

This study analyzed the efficiency change and the factors affecting productivity change for the six railway operation corporations that are local public enterprises; study was performed with the DEA-CCR Model and Malmquist Productivity Index, using data collected from 2010 to 2014. Since it was not feasible to collect data on the operating expenses and the number of employees of each of the lines, the efficiencies of each operation corporation were analyzed by integrating the operation corporations, and the Malmquist Productivity Index was used to investigate the trend of the periodical productivity change. Average efficiency for urban railway operation corporations was found to be higher in the case of the bigger corporations. In 2014, the Seoul Metro and the Daejeon Metropolitan Express Transit Corporations were analyzed and found to be the most efficient operation corporations. The Malmquist Productivity Index was used to determine the periodical change; the average MPI was 1.06, with a continuous increase of productivity. The analysis showed that changes of technology were generally more obvious than change of technology efficiency for all six operation corporations.