• 보건행정학회지
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• 제23권1호
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• pp.78-89
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• 2013

This study empirically analyze efficiency and productivity changes of public hospitals of Korea using data envelopment analysis/Window model and global Malmquist indices model. We use the ten-year data from 2001 to 2010 of 30 regional public hospitals listed database from the Association of Korean Regional Public Hospitals. The main focuses are to reveal whether the technical inefficiency are improved as time goes by, and efficiency and productivity are affected by environmental factors. The results can be summarized as follows. First, the efficiencies of public hospitals rise in trend as time passes. Second, regional public hospitals show the different average efficiencies according to their regional type, hospital type, operational type, medicaid type, and demand and supply conditions by Mann-Whitney U-tests. Third, technical efficiency changes mainly contribute to 4.4% annual average growth rate of productivity of regional public hospitals during that period. Our findings have some policy implications. It is confirmed that there exist some environmental inefficiencies, and those inefficiencies can not be overcome through just improving the inner management system. Thus, policy and institutional changes are necessary for regional public hospitals to improve efficiency and productivity overall.

• 품질경영학회지
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• 제38권2호
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• pp.261-275
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• 2010

The purpose of this study is to empirically analyze the productivity change of the 10 Single PPM Certification Company in the 3 Industry(Electronics, Motor-Parts, Machines). In this study, Productivity change over the time in Korean small and medium sized firms in the 3 industries by the bootstrapped Malmquist Productivity Index(MPI). The traditional Malmquist Productivity Index(MPI) and Data Envelopment Analysis(DEA) Models have not only bias but also lack statistical confidence intervals. they could lead to wrong evaluations of the efficiency and productivity scores. In this paper, DEA and a MPI are combined with a bootstrap method in order to provide statistical inferences that analyze the performance of the Single PPM Certification Company. The data cover the period between 2004 and 2007. The result of this paper reveals : 1) The Electronics Industry had productivity effect of 17%, but there was not direct effect for other Industries(Motor-Parts, Machines). 2) average productivity Progress of the 7DMU(Electronics), 1DMU(Motor-Parts) and none(Machines).

• 한국항해항만학회지
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• 제46권2호
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• pp.110-120
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• 2022

Spain is Europe's second-largest country with total throughput reaching 16.7 million twenty-foot equivalent units (TEU) by 2020. The purpose of this study was to measure and compare the efficiency of 17 container terminals. As a study method, the DEA-CCR model, undesirable variable, and Malmquist Index (MI) were used for data envelopment analysis (DEA). The study results are as follow: (1) DEA-CCR is used to evaluate basic efficiency. The most efficient terminals are decision-making units DMU 1 (APM Terminals (Algeciras Port)), DMU 2 (Total Terminal International Algeciras (Algeciras Port)) and DMU 5 (Barcelona Europe South Terminal (Barcelona Port)). (2) Undesirable DEA was conducted to suggest inefficiency from the undesirable output. Overall, the efficiency scores were reduced. However, DMU 1, DMU 2, and DMU 5 maintained efficiency scores regardless of the finish factor. (3) Malmquist Index was used to observe technology and efficiency changes dynamically. The changes in TCI affected Spanish container terminals more than the Technical Efficiency Change Index (TECI) in 2018-2019. However, in 2019-2020, the TECI was 2.706, higher than the TCI value, indicating that the change in TECI had more influence on the increase in productivity. This study offers a broader understanding of Spanish container terminals.

• 한국산학기술학회논문지
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• 제16권1호
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• pp.255-265
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• 2015

은행 산업의 글로벌화에 따라 은행의 내실이 중요해지고 있다. 내실을 위해 은행의 효율 생산성이 중요해짐에 따라 은행은 이를 향상시켜야 한다. 효율 생산성을 강화시키기 위해 은행의 현 상황을 분석할 방법론이 필요하나 부족한 상태다. 따라서 본 연구에서는 효율성 측정방법론인 DEA중 BCC모델과 생산성 측정방법론인 Malmquist모델을 기반으로 하여 은행의 효율 생산적 위치를 분석할 수 있는 진단방법론을 개발하였다. 모델의 타당성을 검사하기 위해 2007년부터 2012년까지의 은행 데이터를 기반으로 조사 분석을 실시하였다. 분석결과 본 연구의 BCC - Malmquist모델과 당시의 은행위치가 유사함을 분석할 수 있었다. 또한 2012년의 데이터에 나온 결과 값을 바탕으로 2013-2014년에 각 은행이 취한 효율 생산성 향상 방법이 흡사함을 분석 가능하였다. 따라서 본 분석방법론은 은행의 효율 생산적 위치를 파악하기 용이하며, 타 분야에 적용함으로써 경영전략적 시사점을 제공가능하다 사료된다.

• 한국항만경제학회지
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• 제28권4호
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• pp.59-77
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• 2012

육상운송은 서비스 제공자의 공급초과에 따른 구조적 문제와 비효율적인 요소들을 개선하기위하여 노력하고 있다. 따라서 육상화물운송시장은 경쟁력 강화를 위하여 지역별 물류구조를 지역의 산업특성에 따라 개선되어야 한다. 이를 위하여 본 연구는 지역별 육상운송의 운영 효율성과 생산성을 연구하였다. 사용한 자료는 각 시도별 육상운송물류의 5개년(2005-2009)간의 균형패널자료(balanced panel data)이용하였다. CCR과 BCC 분석에서 2005년-2008년 까지는 울산광역시가 가장 효율적이다. 2009년은 서울 특별시가 가장 효율적인 DMU이다. Window 분석결과는 광주광역시와 강원도가 0.062로 나타나 가장 안정적이다. Malmquist 생산성 분석 결과를 살펴보면, 충청남도와 충청북도의 경우 4기간 평균 생산성지수는 약 6.6%와 7.3% 증가하였다. 본 연구는 지역물류정책에서 육상운송의 구조개혁에 따른 효율화 방안을 제시하고 있다.

• 디지털융복합연구
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• 제12권12호
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• pp.571-580
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• 2014

우리나라의 상수도 사업은 규모의 영세성, 지역에 따른 경영과 서비스의 불균형, 지역 간 수자원의 이용 및 관리에 있어 불합리한 문제점 등 취약한 산업구조로 인해 효율이 낮은 실정이다. 본 연구에서는 자료포락분석(data envelopment analysis)을 활용한 효율성 분석 및 맘퀴스트(Malmquist) 지수 그리고 통계적 방법을 통해 전라북도 지방상수도 사업소의 생산성 변화를 탐색적으로 파악해 보았다. 그 결과 규모 효율성이 1인 사업소가 6개로 나타났으며, 주로 군 단위 사업소에서 평균 이하의 생산성지수를 보임으로써 이들 사업소들은 생산성 증가를 위한 노력을 경주할 필요가 있음을 알 수 있었다. 본 연구는 DEA뿐만 아니라 맘퀴스트 생산성 분석을 통하여 생산성의 변화를 측정한다는 점에서 선행연구들과 차별화되는 바, 전라북도 지역 상수도 부문의 효율성을 제고하는데 기여할 것으로 사료된다.

• 기술혁신연구
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• 제11권2호
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• pp.151-173
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• 2003

This paper analyses the efficiency and productivity of R&D system across time (1991${\sim}$2000) and 16 OECD countries using multi-output and multi-input non-parametric frontier methods such as DEA (data envelopement analysis) and Malmquist productivity indexes. Malmquist productivity indexes are decomposed into two components measures, namely technical change and efficiency change. To calculate R&D efficiency and productivity, we used R&D stock and the number or researchers as R&D input proxies and the number of adjusted SCI papers and U.S. patent applications as R&D output proxies. Empirical result shows that Switzerland, Canada, U.S., Australia's R&D efficiencies are the highest and Korea's R&D productivity growth is the highest in the sample for the period. Technical efficiency growth was a more important source of productivity growth than technological innovation.

• Asia pacific journal of information systems
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• 제26권4호
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• pp.542-560
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• 2016

This study determines whether or not firms can achieve high productivity growth through external technology acquisition. It also identifies the key factors affecting adopting firms' productivity growth by employing the Malmquist productivity index (MPI) methodology, which features computational ease, low data dependency, and decomposition of productivity growth into technical efficiency change and technical change. Results showed that the effects of productivity growth arising from technology transfer became stronger over time. Moreover, patent transfer guaranteed firms' productivity growth, but no evidence was found that factors such as age and size could increase productivity. Finally, cultural similarity could be another factor conditioning the effectiveness of technology transfer in the productivity of adopting firms.

• 한국경영과학회지
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• 제37권4호
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• pp.125-138
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• 2012

Health care that is considered to be one of the major factors for the quality of life is nowadays receiving a great deal of attention, and thus there is a growing need in Korea to identify the efficiency of national medical service and enhance the competitiveness. Although there exist studies on the medical service efficiency about general hospitals and local hospitals, they mostly deal with the efficiency problems from a domestic and regional perspective. In response, this paper analyzes the competitive efficiency of national medical service with respect to 16 OECD countries, by exploiting Data Envelopment Analysis (DEA) and Malmquist Productivity Index (MPI). Building on the DEA and MPI analysis results, this paper identifies the competitive position of Korean national medical service and suggests implications for the medical service improvement.

• 품질경영학회지
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• 제38권3호
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• pp.393-407
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• 2010

The purpose of this study is to analysis relative efficiency and efficiency in process of time. Thus we use panel data of 34 local public medical centers between 2003 and 2005 to use DEA and Malmquist analysis. The result of our this study is as flow; first, The results of static efficiency of 34 local public medical centers show 10 CCR model and 23 BCC model which is difference of efficiency by economic of scale. Second, a cause of increased efficiency is not only change of technology but also change of efficiency to management system index show between 2003 and 2005 by Malmquist analysis and contracting-out is higher than direct management between 2004 and 2005. That means efficiency of local public medical centers is their own effort and innovation not government subsidies.