• Environmental and Resource Economics Review
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• v.25 no.2
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• pp.299-320
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• 2016

This study estimates an energy efficiency of 16 metropolitans and provinces in Korea, and measures potential energy-saving and carbon emission reduction using a non-radial data envelopment analysis method. Based on energy mix scenarios, this study also evaluates the impact of changes in energy structural adjustment on a regional environmental performance. The empirical results show that, on average, 12.70% of energy consumption and 13.73% of carbon emission can be reduced by improvement in energy efficiency, and low efficiency of oil usage in metropolitan cities is a major source of the inefficiency. Furthermore, it is found that energy mix policy should be considered to achieve an extra energy-saving and carbon reduction.

• Journal of the Korean Society for Railway
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• v.16 no.2
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• pp.117-121
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• 2013

Railway line segment deterioration can be affected by rail tracks, subgrades, bridges, tunnels, and line shapes. In this paper, an evaluation method is presented for the railway line segment deterioration using the analytic hierarchy process (AHP) and data envelopment analysis (DEA). The importance weights can be assessed systematically for component facilities from numerous experts using AHP. The importance weights provided by experts may differ according to each expert; however, the DEA enables the evaluation of railway line segment deterioration that reflects the variety of expert opinions using these importance weights.

• Journal of the Korean association of regional geographers
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• v.15 no.6
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• pp.774-788
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• 2009

This research analyzed the relative efficiency of 27 local governments' aged welfare institutions and facilities in Gyeonggi-do Province by using Data Envelopment Analysis. The results show that 12 local governments' aged welfare institutions are relatively inefficient as compare to their reference groups, meaning that there is efficiency gap among localities. It also appears that the most influential input and output elements are the budget for the aged and the number of the aged welfare institutions and facilities, relatively. However, the influential elements differ from one locality to another.

• 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 the Korea Institute of Military Science and Technology
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• v.22 no.1
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• pp.106-123
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• 2019

Demand for performance analysis is increasing for efficient use of limited budgets such as improving investment efficiency and strategic budget allocation in accordance with the continuous increase demand of R&D budget for developing advanced weapon systems in the future battlefields. In accordance with the Act on the Performance Evaluation and Performance Management of the National R&D Projects established in March 2006, the performance analysis has been conducted for the systematic management and utilization of the R&D project performance. It was recognized as a project to achieve self-defense through strengthening the weapons system development capability, however, efficiency evaluation of Defense R&D projects was not much emphasized. Research on the efficiency analysis of defense R&D projects has been conducted in recent years, but most studies focused on corporate efficiency and productivity of defense companies. In this study, we analyzed the three-stage performance of defence R&D projects based on the logical model using the data envelope analysis(DEA) model. We also analyzed performance analysis from various perspectives through R&D type, technology classification and performance model. This study is expected to help defense department improve defense R&D projects and make decision.

• 한국사회정책
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• v.19 no.2
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• pp.99-136
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• 2012

The aim of this paper is to analyze the educational gap between 250 local governments, by their location and size, in terms of the efficiency of education. For the analysis, this paper employed the data envelopment analysis(DEA), which can consider input and output factors simultaneously, as a research method. Input factor included student number per teacher, student number per class, student number per staff, and donation fund per student, whereas college entrance rate and employment rate were used as output factor. The data were collected through 'the school information' website. Research target was confined to high schools, taking into consideration the variables used for output factor. As a result of analysis, while the high schools in local governments around the capital area showed the high density of students in terms of input factor, college entrance rate and employment rate were higher in the high schools of non-capital area. An efficiency score was also higher in the schools of the non-capital area in both aspects of BCC and CCR models. By the size of local governments, high schools in agricultural-type and small-sized local governments were higher in the efficiency of education, compared to those in populated local governments.

• Journal of the Korean Data and Information Science Society
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• v.24 no.3
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• pp.505-513
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• 2013

Basketball is one of the most popular winter sports in Korea. Korean basketball league has started in 1997 with 8 teams. Currently, there are 10 teams participating in it and the average number of spectators in 2010~2011 season reached 3,815. However, it has not been making good profit. It would be meaningful to analyze and evaluate the operational efficiency in order to provide basic information to improve the efficiency. This study used data envelopment analysis to figure out comparative efficiency of the teams in the Korean basketball league. As a result, Jeonjaland, LG, and KT were evaluated to be efficient teams and Orions, Ginseng, and Mobis were not.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.11a
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• pp.108-109
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• 2007

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.254-254
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• 2017

• Journal of Digital Convergence
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• v.11 no.10
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• pp.255-262
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• 2013

Data envelopment analysis(DEA) is a linear programming procedure designed to evaluate the relative efficiency of a set of peer entities called decision making units which use the same inputs to produce the same outputs. It has been widely employed in a variety of disciplines as an efficiency or performance measurement tool for comparing a set of entities such as firms, banks, hospitals, nations and organizations. The method, however, cant's make the priority of their performance when many units have efficiency score of unity or 100 percent. In this paper, we propose a new approach which combine qualitative method(graphical approach using network analysis) and quantitative method(super-efficient analysis using DEA), and present the results of an empirical analysis using the data of the Korean professional baseball players. As a result, there were 12 DMU that priority is hardly realized through DEA. However, this problem could be solved with super-efficiency analyzing. Also, more in-depth interpretation was able through integrating results of dendrogram and super-efficiency analyzing and prospecting it in qualitative, quantitative ways.