• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.5
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• pp.60-71
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• 2017

The purpose of this study is to evaluate vertical moving facilities at subway stations for the elderly users and to analyze their improvement measures. To evaluate vertical moving facilities of the top 31 subway stations with the most trips in Seoul, a data envelopment analysis (DEA) is employed. The input variables for the DEA include the number and percentage of elderly users, which are calculated using smart card data. the output variables consist of the number of elevators and escalators per 100 steps. The results show that the average score of 31 subway stations is 0.62 and four stations, i.e., Jamsil, Gasan Complex, Konkuk University, and Dongmyo, have the highest score. These four subway stations are set as benchmarking groups for the other stations with the lower score. Based on the comparison with the benchmarking groups, the improvement measures for vertical moving facilities of each station are suggested and discussed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.12B
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• pp.815-825
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• 2007

It is necessary to establish a systematic framework where the performance of governmental funding projects can be evaluated just-in-time as well as objectively regarding IT small and medium-sized enterprises and venture business. In this study, a framework is proposed for the performance evaluation using Data Envelopment Analysis (DEA) and a case study is illustrated with an empirical dataset. Especially, in order to enhance the reliability of optimal solutions, a DEA/AR-I revised model is developed by adding Acceptance Region (AR) Type I constraints into the DEA basic model. Based on the procedure and the models, it is considered that an 'efficiency score' can be calculated as a guideline for conducting successive performance evaluation processes fast. As for major governmental funding projects with respect to 'IT SMERP 2010 Plan', performance evaluations are discussed concerning between projects as well as between corporate entities within each project.

• Journal of Korea Port Economic Association
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• v.36 no.1
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• pp.183-196
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• 2020

Until now, there have been few studies analyzing the efficiency of the Port of Mokpo and comparing it with other seaports in the country to identify the future direction of development for the port. In this paper, we use the data envelopment analysis (DEA) model in combination with the Malmquist Productivity Index (MPI) to measure the efficiency and productivity of major ports in Korea, focusing on the Port of Mokpo. First, the study identifies which ports are efficient or inefficient based on technical or operational scale. Second, by using the MPI to overcome the shortfalls of the DEA model, the study can compare a port's performance across the years and evaluate the productivity of a port during the research period. Moreover, this study also applies fuzzy C-means (FCM) clustering to classify port groups based on the size of their infrastructure and their efficiency scores. Finally, it is possible to find ways to enhance the efficiency and future direction of development of the Port of Mokpo.

• Journal of the Korean Society for Library and Information Science
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• v.39 no.1
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• pp.221-239
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• 2005

This Paper assesses the relative efficiency of public library services by examining the relationship between library inputs and library outputs in library systems. Using Data Envelopment Analysis, this study derives efficiency scores in the provision of library services for 21 public libraries in Seoul. The data are survey observations for 2002. We employ total holdings, total serials, and total acquisitions as inputs, and total circulations and reader visits as outputs. The result shows that the subject libraries operate at just $71\%$ efficiency, i.e., inputs could be reduced by one-three without sacrificing output if all libraries were as efficient as the benchmark 4 identified by DEA. Too many total collections are the main source of inefficiency.

• Journal of Korean Society of Forest Science
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• v.101 no.4
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• pp.729-736
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• 2012

Korea Forest Service is recently focused on forest tending works for promoting in green jobs. The purpose of forest tending work is not only maintaining ecologically stable forest stand structure but also developing commercial forest. These trends are also emphasized by creation of various benefits and expanding carbon absorption in forest management. For achieving these purposes, Management efficiency of output was analized by the inputs such as labor cost, material cost and expense cost using DEA technique. The results show that, 19 sub-compartments are appeared to be the optimal in the efficiency of the forest tending works among total 52 sub-compartments. Among those there were 5 sub-compartment 8-0-3, 9-3-3, 6-0-3, 7-0-6, 1-0-5 and 3-0-3 to be considered in the high reference. The high reference areas mean those areas which is well accomplished in forest tending works as the desirable model.

• Asia-Pacific Journal of Business
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• v.6 no.2
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• pp.1-17
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• 2015

This study compares the most widely used parametric and non-parametric techniques to measure cost and profit efficiency of banks, namely the Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA). We formulate the specification form of both stochastic cost and profit frontier models and constant return to scale Cost DEA and Profit DEA models and provide an empirical assessment of the cost and profit frontiers based on a panel dataset of National Commercial Banks (NCBs) and Private Banks (PBs) in Bangladesh over the 2001-2010 period. The cost inefficiency and profit efficiency are slightly higher for PBs than NCBs in case of both SFA and DEA. The coefficients of advance and off-balance sheet items are significant that positively influence the banks in stochastic cost frontier model while the advance, other earning assets, price of borrowed fund are significant and negative effects on the banks in stochastic profit frontier model. The average cost inefficiency and average profit efficiency are recorded with 16.3% and 91% respectively. The highest and lowest cost inefficiency are observed for Janata Bank and United Commercial Bank Limited whilst the highest and lowest profit efficiency are recorded for Eastern Bank Limited and Janata Bank respectively. The average technical and allocative efficiency are 68.8% and 35.9%, respectively in case of CRS cost-DEA model whereas they are 70.3% and 31.8% in case of CRS profit-DEA model. The average cost inefficiency is recorded 6.3% by SFA whereas it is 24.5% by DEA. The average profit efficiency is found 91% by SFA while it is 22.1% by DEA, and SFA method shows better bank efficiency than DEA.

• Journal of Korea Technology Innovation Society
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• v.20 no.2
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• pp.271-291
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• 2017

This study measures and compares the performance of research and development (R&D) programs in government-funded research institutes (GRIs) in terms of qualitative and quantitative approaches to find out strategic insights for improving performance evaluation policy. In particular, we adopt the evaluation results from the real data of K institute in 2015 for a qualitative evaluation and the results of data envelopment analysis (DEA) for a quantitative evaluation. Comparative analysis of the R&D performance of 14 programs finds that the difference between the evaluation results of qualitative and quantitative approaches is significant. From this finding, we suggest several strategic directions to complement two approaches each other.

• Journal of Technology Innovation
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• v.21 no.3
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• pp.41-72
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• 2013

In this study, a comparison has been made among the countries regarding recent ICT practices being performed based on the measures of relative efficiency and productivity growth that use multiple inputs and outputs. Efficiency measures a country's ICT performance relative to a benchmark at a given point of time and productivity measures a country's performance over a period of time. An output-oriented Data Envelopment Analysis and Malmquist Index has been used for comparison among 28 countries over the period 2008-2011 by incorporating 9 variables. The empirical findings disclose gross inefficiencies in national ICT practices, which show that there is room for enhancing output gains through increased efficiency in their operations. In addition, 13 countries have performed better than others in total factor productivity mainly because of their improvement in the underlying technological progress in ICT. For those technically inefficient countries, however, technical inefficiency may hamper the growth of total factor productivity of ICT practices.

• Health Policy and Management
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• v.30 no.2
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• pp.199-210
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• 2020

Background: Based on the importance of ceasing smoking programs to control the regional disparity of smoking behavior in Korea, this study aims to reveal the variation of smoke rate and determinants of it for 229 provinces. An evaluation of the relative efficiency of the cease smoking program under the consideration of regional characteristics was followed. Methods: The main sources of data are the Korean Statistical Information Service and a national survey on the expenditure of public health centers. Multivariate regression is performed to figure the determinants of regional variation of smoking rate. Based on the result of the regression model, clustering analysis was conducted to group 229 regions by their characteristics. Three clusters were generated. Using data envelopment analysis (DEA), relative efficiency scores are calculated. Results from the pooled model which put 229 provinces in one model to score relative efficiency were compared with the cluster-separated model of each cluster. Results: First, the maximum variation of the smoking rate was 16.9%p. Second, sex ration, the proportion of the elder, and high risk drinking alcohol behavior have a significant role in the regional variation of smoking. Third, the population and proportion of the elder are the main variables for clustering. Fourth, dissimilarity on the results of relative efficiency was found between the pooled model and cluster-separated model, especially for cluster 2. Conclusion: This study figured regional variation of smoking rate and its determinants on the regional level. Unconformity of the DEA results between different models implies the issues on regional features when the regional evaluation performed especially on the programs of public health centers.

• Korean Journal of Construction Engineering and Management
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• v.6 no.1 s.23
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• pp.151-161
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• 2005

This paper analyzes the technical efficiencies of 38 Korean engineering and construction firms and the efficiency changes from 1999 to 2003 using data envelopment analysis (DEA). Best practice firms in terms of technical efficiency and profit are identified. For inefficient firms, performance targets to be efficient are suggested. Technical efficiencies had been increased over the five year period, and the efficiency difference between firms had been reduced during this period. The differences in efficiency due to the differences in cooperate governance structures are statistically significant. In addition, the technical efficiency is correlated with product portfolios, degree of subcontract, rates of value added, returns on invested capital, and EBITDA.