• 한국항해항만학회지
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• 제43권2호
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• pp.101-109
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• 2019

Seaports play a vital role in the economic development of countries, especially for countries having long coastlines such as Vietnam Seaport industry in Vietnam has witnessed an impressive development in recent years. The national cargo throughput in the period 2013-2017 achieved a compounded annual growth rate (CAGR) of 11.8%/year, higher than that of the world (5.1%). However, the differences in planning policies and infrastructure systems has led to the differences in port performance efficiency of regional ports. Therefore, it is necessary to have a general and accurate view of the picture of Vietnam's seaport. The objective of this study was to analyze the relative efficiencies of 26 Vietnam container terminals using traditional output-oriented CCR and BCC DEA model. Malmquist P roductivity Index (MP I) was also applied to evaluate changes in container terminals productivity over time.

• 수산경영론집
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• 제46권2호
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• pp.111-125
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• 2015

This study is to analyze the efficiency of Korean sea food manufacturing using Data Envelopment Analysis. Firstly, based on an output oriented traditional CCR, BCC model, the study estimated the efficiency scores. The average estimates of technical, pure technical, and scale efficiency turned out 0.6517, 0.7184, 0.9074 respectively, which are separated for 50 marine corporations. The 10 DMUs were efficient under CCR model while the 17 DMUs under BCC model. Also, the study suggested that the operating profit of the two output factors should be more increased relatively and averagely from the viewpoint of efficiency improvement. Secondly, super efficiency scores are estimated under super efficiency and SBM model. As a result, it came to be possible to distinguish and rank the efficiency of the efficient DMUs. The highest score was 4.2975 under Super-CCR, was 2.4947 under Super-BCC, was 2.7160 under SBM-Super-CCR, and was 1.5319 under SBM-Super-BCC model. The average estimates of super efficiency were 0.76 and 0.82 under Super-CCR and Super-BCC model respectively, and were 0.61 and 0.67 under SBM-Super-CCR and SBM-Super-BCC model. Finally, the study conducted a rank-sum test, Wilcoxon-Mann-Whitney test, to find a statistical significance of heterogeneity existing in efficiencies among the sample corporations. The result showed that there was a significant difference in average efficiency between Dried, Salted product manufacturing and Frozen product manufacturing under BCC-Super efficiency model at 10% level of significance. Furthermore, TOBIT model was applied to find out the potential factors that might influence the efficiency, Wilcoxonand the results showed debt and sales cost influenced all of the technical, pure technical, and scale efficiency, while net profit influenced only the technical efficiency.

• 한국경영과학회지
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• 제40권1호
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• pp.75-89
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• 2015

In recent years, attention to the high debt ratio in public institutions has pushed the government to make efforts in reducing the debt ratio. However, in order to stimulate the economy, the government needs drastically innovative measures that reduce debt by improving efficiency rather than moderate approaches that focus solely on debt reduction. Despite this need, no study has yet systematically analyzed the overall efficiency of domestic public institutions and identified the source of inefficiencies in each public entity. Therefore, largely two research questions are examined. First, this study compares the efficiency levels by types of public institutions. Second, this study identifies the cause of inefficiencies in each public institution and proposes directions for improving efficiency. Based on a 5-year data of 302 public institutions published in public business information systems and organizational websites from 2009 to 2013, Data Envelopment Analysis (DEA) was performed. The input variables include the number of employees and total costs while the output variables include sales and net income. Reflecting the characteristics of public institutions, the input-oriented CCR model and input-oriented BCC model were utilized. Analysis results are as follows. First, market-oriented public institutions showed the highest efficiency while fund management quasi-governmental agencies showed the highest inefficiency. Second, scale efficiency score was measured by applying the CCR model and the BCC model on the organizations with the lowest efficiency level, fund management quasi-governmental agencies. Based on these analysis results, the source of inefficiency and detailed directions for improvement were proposed for Decision Making Units (DMUs) with low CCR and BCC scores.

• 한국콘텐츠학회논문지
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• 제10권10호
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• pp.456-463
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• 2010

프로축구 구단의 경영수지 개선이 요구되는 시점에서 본 연구는 DEA 기법과 Malmquist Index를 이용하여 2006년부터 2009년까지의 한국 프로야구 구단들의 상대적 효율성과 생산성 변화를 측정하였으며, 본 연구결과는 다음과 같다. 첫째, 규모의 수익불변을 가정한 CCR 모델에 의한 효율성 결과는 2006년에 대전시티즌과 인천유나이티드 2개 구단, 2007년에 대전시티즌, 인천유나이티드, FC서울 3개 구단, 2008년에 대전시티즌과 인천유나이티드 2개 구단, 2009년도에 경남FC, 인유나이티드, FC서울 3개 구단이 효율적인 구단으로 나타났다. 둘째, 2006-2007 기간의 생산성 변화는 인천유나이티드의 경우 생산성감소, FC서울의 경우 생산성 불변이고, 나머지 3개 구단은 생산성이 증가가 이루어졌음을 알 수 있다. 2007-2008 기간의 생산성 변화를 살펴보면 인천유나이티드의 경우 생산성증가, FC서울의 경우 생산성 불변이고, 나머지 3개 구단은 생산성이 감소한 것으로 나타났음을 알 수 있다. 2008-2009 기간의 생산성 변화를 살펴보면 경남FC는 생산성 증가, FC서울은 생산성 불변이고, 나머지 3개 구단은 생산성이 감소한 것을 알 수 있었다.

• 한국건설관리학회논문집
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• 제6권1호
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• pp.151-161
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• 2005

본 연구는 자료포락분석(Data Envelopment Analysis, DEA)을 이용하여 국내 건설회사를 대상으로 효율성을 측정하고 효율성의 연도별 추이를 파악하며 개별기업 및 산업차원에서 비효율성에 영향을 미치는 요인을 분석하였다. CCR모형 및 BCC모형을 적용하여 기술적 효율성 및 순수기술적 효율성을 측정하였고 Window분석을 통하여 연도별 효율성의 변화 추이를 파악하였다. 또한 비효율적인 기업을 대상으로 효율적인 기업이 되기 위한 목표치와 참조집합을 예시하였으며 수익성과 효율성의 시계열자료를 이용하여 효율성 측면에서의 선도기업을 도출하였다. 효율성에 영향을 미치는 요인으로 기업집단의 소속여부에 따른 효율성 차이를 검증하고, 매출액 중 건축비중, 토목비중, 외주비율 등과 효율성과의 상관관계를 식별하였다. 이와 같은 분석은 개별 기업의 효율성에 관한 벤치마킹 및 전략목표설정에 기여하며, 산업경쟁력을 높이기 위한 바람직한 정책 수립에 활용될 수 있다.

• 유통과학연구
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• 제11권8호
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• pp.5-14
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• 2013

Purpose - We live in a world of constant change and competition. Many airports have specific competitiveness goals and strategies for achieving and maintaining them. The global economic recession, financial crises, and rising oil prices have resulted in an increasingly important role for facility investment and renewal and the implementation of appropriate policies in ensuring the competitive advantage for airports. It is thus important to analyze the factors that enhance efficiency and productivity for an airport. This study aims to determine the efficiency levels of 20 major airports in East Asia, Europe, and North America. Further, this study also suggests suitable policies and strategies for their development. Research design, data, and methodology - This paper employs the DEA-CCR, DEA-BCC, and DEA-Malmquist production index analysis models to determine airport efficiency. The study uses data on the efficiency and productivity of the world's leading airports between 2006 and 2010. The input variables include the airport size, the number of runways, the size of passenger terminals, and the size of cargo terminals. The output variables include the annual number of passengers and the annual cargo volume. The study uses basic data from the 2010 World Airport Traffic Report (ACI). The world's top 20 airports (as rated by the ACI report) are investigated. The study uses the expanded DEA Model and the Super Efficiency Model to identify the most effective airports among the top 20. The Malmquist productivity index analysis is used to measure airport effectiveness. Results - This study analyzes longitudinal and cross-sectional data on the world's top 20 airports covering 2006 to 2010. A CCR analysis shows that the most efficient airports in 2010 were Gatwick Airport (LGW), Zurich Airport (ZRH), Vienna Airport (VIE), Leonardo da Vinci Fiumicino Airport (FCO), Los Angeles International Airport (LAX), Seattle-Tacoma Airport (SEA), San Francisco Airport (SFO), HongKong Airport (HKG), Beijing Capital International Airport (PEK), and Shanghai Pudong Airport (PVG). We find that changes in airport productivity are affected more by technical factors than by airport efficiency. Conclusions - Based on the study results, we offer four airport development proposals. First, a benchmark airport needs to be identified. Second, inefficiency must be reduced and high-cost factors need to be managed. Third, airport operations should be enhanced through technical innovation. Finally, scientific demand forecasting and facility preparation must become the focus of attention. This paper has some limitations. Because the Malmquist productivity index is based on the hypothesis of the, the identified production change could be over- or under-estimated. Further, as DEA estimates the relative efficiency. It also cannot generalize to include all airport conditions because the variables are limited. To measure airport productivity more accurately, other input variables and environmental variables such as financial and policy factors should be included.

• 한국융합학회논문지
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• 제11권11호
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• pp.283-291
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• 2020

본 연구의 목적은 최근 정부 R&D투자에 대한 질적인 평가가 강조됨에 따라, 국가과학기술연구회 주관 융합연구사업(창의형융합연구사업, 융합연구단사업)과 일반수탁연구사업의 연구 성과에 대해 정성적 관점에서 상대적 효율성을 분석하는 것이다. 이러한 목적을 달성하기 위해 연구 성과의 상대적 효율성을 광범위하게 사용되고 있는 DEA를 활용하였다. 분석대상은 한국기초과학지원연구원의 사례를 중심으로 진행하였으며, DEA를 위한 투입지표로 순연구비 및 인건비를 활용하여 논문 및 특허출원 수에 대한 정량적인 평가와 논문의 IF 및 특허의 SMART3를 통한 정성적인 평가를 비교분석 하였다. 분석결과 CCR가준 및 BCC기준에서 정성적인 관점에서 융합연구사업이 높은 효율성을 나타냈다. 이는 융합연구가 일반 수탁연구 보다 높은 수준의 연구가 이루어지고 있다는 것을 시사한다. 본 연구의 결과로 최근 정부에서 강조하고 있는 질적 평가에 대한 기준을 제시하고, 아울러 본 연구를 확대하여 향후 모든 기관에 대한 정성적 관점의 효율성 평가를 통해 인력과 연구비의 합리적인 R&D 투자선택에 위한 정책 및 연구과제기획에 시사점을 제공하고자 한다.

• 디지털융복합연구
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• 제20권4호
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• pp.529-539
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• 2022

이 연구는 DEA-Malmquist 분석 모형을 이용하여 2017년부터 2019년까지 3년간 패널데이터를 이용하여 한국자산관리공사 지역본부의 조세정리사업에 대한 효율성과 생산성의 지수 변화를 분석하였다. DEA 분석 결과에 따르면, 한국자산관리공사 지역본부 조세정리사업의 CCR 모형에 의한 효율성의 평균은 2017년 0.671, 2018년 0.772, 2019년 0.699으로 나타났고, BCC 모형에 의한 효율성 평균은 2017년 0.798, 2018년 0.851, 2019년 0.771로 나타났다. Malmquist 생산성 지수를 분석한 결과는 시계열 평균 생산성 지수 MPI는 4.5% 증가하였다. 이러한 결과는 순수효율 성변화의 감소 보다는 기술효율성의 변화, 기술 변화, 규모효율성의 증가에 원인이 있는 것으로 보여진다. MPI의 변화를 연도별로 살펴보면, 2017-2018년에 14.6%의 감소를 보였으나, 2018-2019년에는 27.8%로 크게 증가하였다. 공기업의 구체적인 조세사업의 DEA 분석의 결과를 통해 한국자산관리공사의 각 지역본부가 상호 벤치마킹을 통해 업무역량을 강화하는데 기여할 수 있을 것이다.

• 대한지역사회영양학회지
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• 제12권2호
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• pp.178-188
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• 2007

This study was performed to suggest a new efficiency measurement indicator is necessary for evaluating management efficiency of food service operations in contract-managed foodservice companies, to distinguish efficient food service providers and inefficient ones by measuring comparative efficiency among food service operations, and to provide guidance for effective management through showing benchmarking targets for improving inefficient food service providers. The subjects of this study were the 93 B&I foodservice Operations of a domestic contract food service company. The analysis was conducted using CCR model in DEA model. A software, 'Frontier analyst', was used for the analysis. Based on the results derived from comparison of efficiency evaluation classified by providers with use of DEA, it was possible to identify efficient food providers and inefficient providers, and subsequently provide benchmarking guidelines for improvement of the inefficient groups. In analyzing the differences between the results of DEA efficiency evaluation by detailed operation status of food service providers, there was significant difference of efficiency outcomes in terms of contract types, while there was no significant difference in terms of business condition.

• 대한안전경영과학회지
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• 제15권2호
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• pp.255-262
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• 2013

Due to the competition between the various professional events, it is imperative for the team's management to improve efficiency by removing the inefficiencies of the professional team in order to gain a competitive edge. This study use different Data Envelopment Analysis (DEA) models to measure the efficiency of professional sport organizations. In this mathematical-analytical study, this study first reviews the related literature to analyze the input/output variables. In the end, the variables were detected and the data for this study were gathered from the Korean Basketball League (KBL). While previous studies examine relative efficiency of Korean Professional baseball teams by using CCR model, this study fully utilize the DEA method to investigate Korean professional sports organizations' operating problem. Thus, this study propose full results of DEA analysis such as efficiency score (overall, technical, and scale efficiency), slacks in inputs and outputs of inefficient organizations, Malmquist index) As a result, this study provides not only the exact productivity information of a team and a way of improving a firm's productivity with a decision maker.