• Journal of Navigation and Port Research
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• v.29 no.3 s.99
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• pp.195-201
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• 2005

This paper presents the measurement of efficiency for container ports. Data envelopment analysis(DEA), as it is called, has particular applicability in the service sector. Applying mathematical programming techniques, DEA enables relative efficiency ratings to be derived within a set of analysed units. This paper investigates the efficiency employing DEA Model on data for 53 container ports covering 1995-2001 in the world and the change in efficiency for 7 years. As a results, port of Busan was evaluated as inefficiency port compare with major ports of the world except 1995year and 1996year. But After 1997year, efficiency of Busan port is increasing somewhat better every year.

• The Korean Journal of Applied Statistics
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• v.26 no.1
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• pp.49-58
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• 2013

Data envelopment analysis is a relatively new data oriented approach to evaluate the performance of a set of peer entities called decision making units which convert multiple inputs into multiple outputs. It has been extensively applied in performance evaluation and benchmarking entities such as hospitals, universities, cities, courts, and business firms. This study provides the evaluating results of the operational efficiencies of local universities using a DEA approach. In addition, we explore the difference of the efficiency between regional flagship national universities and non-flagships.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.4
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• pp.1571-1580
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• 2013

This study analyzes the relative efficiences through satisfaction on taxi services of thirty-one cities and counties in Gyeonggi Province. The DEA (Data Envelopment Analysis) is used to measure efficiencies on the privately owned taxies and the corporate taxies respectively. Efficiency in the DEA is measured relative to the highest observed performance rather than against some average. Pyeongtaek, Pocheon, Osan, Yangpyeong, and Gapyeong have the highest efficiency in the private owned taxies. And Pyeongtaek, Pocheon, Osan, and Gapyeong have the highest one in the corporate taxies. These cities and counties have the ability to use less resources for equal efficiency relative to others. Rank-sum test proves that there is no statistical difference in efficiency between the privately owned taxies and the corporation owned taxies.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.4
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• pp.301-315
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• 2011

DEA(Data Envelopment Analysis) is useful to measure the relative efficiency of organizational units where the presence of multiple inputs and outputs. This study applied DEA-CCR and DEA-BCC to evaluate the technical, pure technical, and scale efficiency of 29 university libraries. The input variables were number of books, print edition expenses, building space, staff, number of seats. As output variables we estimated: reader visits, number of borrowed items, number of visitors. It was found out that number of libraries with 100% relative efficiency among 29 libraries were 13. Also the results shows that main reason of inefficiency was from scale rather than from pure technical. Many inefficient libraries were operations of increasing return to scale.

• The Journal of the Korea Contents Association
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• v.6 no.7
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• pp.111-118
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• 2006

This paper aims at exploring the efficiencies of Big 3 Multiplexes(CGV, Lotte Cinema, and Megabox) in Korea over the 3 years between 2002 and 2004. For the Korean Film industry, the years 1998 over were a period of challenge and extreme transaction due to building of multiplex that began in 1998. This paper begins with the present state of film market and multiplexes in Korea and provides an overview of the reasons why Korea film industry have been sharply increased in customer growth. The purpose of this paper is to investigate the film industry competition power for multiplex according to the technical and scale efficiency scores of DEA(Data Envelopment Analysis) method.

• Journal of Intelligence and Information Systems
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• v.7 no.1
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• pp.63-79
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• 2001

Data Envelopment Analysis(DEA), a non-parametric productivity analysis tool, has become an accepted approach for assessing efficiency in a wide range of fields. Despite of its extensive applications and merits, some features of DEA remain bothersome. DEA offers no guideline about to which direction relatively inefficient DMUs improve since a reference set of an inefficient DMU, several efficient DMUs, hardly provides a stepwise path for improving the efficiency of the inefficient DMU. In this paper, we aim to show that DEA can be used to evaluate the efficiency of life insurance companies while overcoming its limitation with the aids of machine learning methods.

• Journal of the military operations research society of Korea
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• v.36 no.2
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• pp.85-106
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• 2010

Recently, government is endeavoring for Defense Ministry unit's efficiency improvement according as requires low cost, high effectiveness continuously about public sector. But, by real condition that measuring analysis about logistical corps'(LOG) efficient operation is not, this study was done to present method to estimate efficient management availability of logistical corps(LOG). Presents choosing variable that is suitable in Quartermaster Corps' efficiency estimation for this through existing virtue study investigation, and takes advantage of DEA (Data Envelopment Analysis) technique that divert in public sector efficiency measurement, I wish to present plan for inefficient organization's efficiency improvement after evaluate efficiency to Quartermaster Corps.

• Korea Journal of Hospital Management
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• v.2 no.1
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• pp.183-202
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• 1997

Health care organizations have been faced with financial difficulties under turbulent health care environment. This situation led hospitals to concentrate their efforts to improve their managerial efficiency in various ways. This study aims to evaluate technical efficiency of 31 tertiary hospitals in Korea and find determinants which are closely related with hospital efficiency. Data envelopment analysis(DEA) and Tobit Model were adopted for study. For the analysis, human resource factors such as number of physicians, nurses, and administrative staffs are used as input variables and the number of inpatients and outpatients) are used as output variables. Among 31 hospitals, in CCR model, 8 hositals showed efficiency score 1 which means they have been operated in very efficient ways and BCC model showed 13 of 31 hospitals as efficient organizations. Next, we analyzed determinants which are closely related with hospital efficiency. By using Tobit model, the study showed hospital size, Quality of care, value added per capita, and revenue per patient were closely related with hospital efficiency, However, it appeared that financial status of hospitals(i.e : making profit or not) was not related with hospital efficiency.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.43 no.4
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• pp.339-346
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• 2007

Estimating fishing capacity is one of current hot issues in the international fisheries. It is because that increased fishing capacity has caused not only fish stocks to be reduced, but also additional fishing costs to be incurred without additional incomes, which resulted in decrease of economically viability of fisheries. In order to solve this problem, FAO adopted 'the International Plan of Action for the Management of Fishing Capacity' in 1999 and recommended that member countries to measure fishing capacity and to implement the domestic action plan to reduce excess fishing capacity. This study is aimed at assessing fishing capacity of the octopus coastal trap fishery(OCTF) using data envelopment analysis(DEA) which is a method recommended by FAO. The DEA results on 10 individual OCTF vessels showed that the capacity utilization(CU) was a 0.93 on average, indicating some differences in CU among vessels(0.79-1.0). In addition, results of the sensitivity analysis revealed that under the current level of catch, the gross tonnage, horse power, days fished, and traps per trip could be reduced by 35%, 33%, 16%, and 18% on average, respectively.

• The Journal of Fisheries Business Administration
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• v.39 no.3
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• pp.49-65
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• 2008

In Korea, deep-sea fishing industry is faced with pressure of being thrown out of business, because of the upcoming unfavorable business conditions such as the fishing regulation of coastal countries, Korea-US Free Trade Agreement(KORUS FTA), and the other socio-economic changes. Hence, we present an evaluation of future business competitive for the deep-sea fishing industry so that the government can develop a concession plan for the deep-sea fishing industry by utilizing the results of this study. In efficiency analysis of deep-sea fishing industry, the decision maker may have two problems: (1) how to deal with multiple inputs and outputs of deep-sea fishing industry and (2) how to assign the weights on different inputs and outputs, In this paper, we proposed to use Data Envelopment Analysis (DEA) to estimate efficiency of deep-sea fishing industry with multiple inputs and outputs. In the DEA, The direct impact of KORUS FTA, fishing regulation of coastal countries, fishing charges, and competitive fishing conditions were used as input parameters while the profitability and secured fishing quarters, as outputs. The results of DEA-BCC model indicate that 6 out of 12 DUMs have better efficiency under variable return to scale assumption.