• The Journal of the Korea Contents Association
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• v.10 no.11
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• pp.371-379
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• 2010

This study analyzes relative efficiency analysis for universities or colleges of Chung Cheong regions using data envelopment analysis. The main results of this study can by summarized as follows. First, in case of efficiency for CCR, the number of efficient universities(CCR value is one) are five universities. and mean value of CCR for universities located in Chungbuk region was most high. Second, the number of efficient colleges(CCR value is one) are three colleges. and mean value of CCR for colleges located in Daejeon region was most high. Third, in case of efficiency for BCC, the number of efficient universities(BCC value is one) are nine universities. and mean value of BCC for universities located in Chungbuk region was most high. Fourth, the number of efficient colleges(BCC value is one) are seven colleges. and mean value of BCC for colleges located in Chungbuk region was most high.

• International Area Studies Review
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• v.20 no.2
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• pp.63-83
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• 2016

This paper examines the determinants of efficiency in a KOSDAQ-listed manufacturing firm. We use Data Envelopment Analysis (DEA) to estimate the efficiency of the export manufacturing firm. We employ two inputs (number of employees, equity) and one output (sales) in the DEA. The determinants of export manufacturing firm efficiency are estimated using the panel Tobit model. An analysis of 369 export manufacturing firms from 2013 to 2015 indicates the following results: First, the R&D intensity, the wage and salary intensity, total asset, and equity ratio each had a negative impact on both the CCR and BCC efficiency scores. However, export intensity had a negative impact on CCR efficiency scores in a KOSDAQ-listed total export manufacturing firm. Second, the R&D intensity had a positive impact on both the CCR and BCC efficiency scores, but export intensity, the wage and salary intensity, and equity ratio each had a negative impact on the CCR and BCC efficiency scores in a KOSDAQ-listed large export manufacturing firm. Third, the R&D intensity, the wage and salary intensity, total asset, and equity ratio each had a negative impact on both the CCR and BCC efficiency scores; respectively, in a KOSDAQ-listed small and medium export manufacturing firm.

• The Journal of Fisheries Business Administration
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• v.46 no.2
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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.

• Journal of Navigation and Port Research
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• v.34 no.7
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• pp.577-585
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• 2010

This paper analyzes the efficiency of Korean Ship Component Part Manufacturer firms using DEA model. We evaluated the CCR, BCC efficiency and RTS of 30 Korea Ship Component Part Manufacturer firms. We also suggested the Korean Ship Component Part Manufacturer firms that can be benchmarked based on analyzed information. The result showed five enterprises whose values of CCR efficiency are 1, and eleven enterprises whose values of BCC efficiency are 1. RTS indicated IRS of 1 firms, DRS of 24 firms and CRS of 5 firms.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.201-212
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• 2017

This study presented the new evaluation index which can evaluate the discrimination of DEA models. To evaluate the discrimination of DEA models, data were analyzed using importance index as suggested in previous study and the coefficient of variation as suggested in this study for the discrimination evaluation. This study selected the CCR-DEA, BCC-DEA, entropy, bootstrap, super efficiency, and cross efficiency DEA model for the discrimination evaluation and accomplished empirical analysis. In order to grasp the rank correlation of the models, this study implemented the rank correlation analysis between the efficiency of CCR model and BCC model and entropy, bootstrap, super efficiency, and efficiency of the cross efficiency model. The obtained results of this study are as follows. First, the discrimination rank of models using the importance index and the coefficient of variation was shown to be identical. Therefore, the coefficient of variation can be used the discrimination evaluation index of DEA model. Second, the discrimination of the super efficiency model was found to be the highest rank among 4 models according to the analysis of this present study. Third, the highest rank correlation with CCR model was the super efficiency model. In addition, the super efficiency model was found to be the highest rank correlation with BCC model.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.366-375
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• 2013

Recently, management of Newspaper developmet of the internet news, broadcasting and free newspapers escalated competition between newspaper companies and other media companies as well as competition among newapaper companies. This paper analyzes the efficiency of Korean Newapaper using DEA model. We evaluate the CCR-O, BCC-O efficiency, SE and RTS of 30 Newspaper. We also suggest the Newpaper which can be benchmarked based on analyzed information. The result shows that ten Nespaper whose values of CCR-O efficiency are 1, and Fourteen Nespaper whose values of BCC efficiency are 1. RTS indicates IRS of 1 firms, DRS of 16 firms and CRS of 13 firms. To variables on the effectiveness of newspaper publishing companies for the understanding and performance analysis.

• Journal of Korea Port Economic Association
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• v.33 no.4
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• pp.135-148
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• 2017

This study fist raises the following research question. How does the port congestion affect port operational efficiency? To answer the question, this study adopts slacks based measure data envelopment analysis (SBM-DEA) model to analyze the efficiency of port considering the congestion. As a result of the DEA-CCR(Chanres, Cooper and Rhodes) model, both Busan(2011) and Ulsan(2011) are the most efficient decision making units(DMUs). As a result of the DEA-BCC(Banker, Chanrnes, and Cooper) model, Busan(2011), Ulsan(2011), Ulsan(2012), Busan(2012), and Yeosu Gwangyang(2012) are the most efficient DMUs. As a result of SBM-DEA model, Ulsan(2012), Busan(2011), Busan(2012), Incheon(2011), and Ulsan(2011) are the most efficient DMUs considering the port congestion. The result of DEA-CCR BCC model is not identical with the result of SBM-DEA model analysis. It means the port congestion does less affect the port operational efficiency. Should the number of the vessels with the port congestion minimize, Incheon and Yeosu Gwangyang port could save lots of the port congestion cost for a total of three years.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.151-158
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• 2019

The high-technological in the electric and electronic industries is recognized in overseas markets as well. However, the competition for technologies in these industries is increasing. Therefore, electric and electronic firms should be more efficient in their production. so, This paper analyzes the efficiency of High-growth Electrical and Electronics firms using DEA model. We evaluate the CCR, BBC efficiency and RTS(return to scale) of 20 Korean high-growth Electrical and Electronics firms. There are a total of 12 efficient DMUs with a BCC of 1. There are a total of 4 efficient DMUs with a CCR of 1. A total of 11 DMUs were IRS in Scale Efficiency and a total of 6 DMUs were CRS in Scale Efficiency and a total of 3 DMUs were DRS in Scale Efficiency. We also suggest the Electrical and Electronics firms which can be benchmarked based on analyzed information.

• The Journal of the Korea Contents Association
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• v.8 no.7
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• pp.201-207
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• 2008

The bankruptcy possibility of apartment construction firms has been incresed because of the environment of current apartment construction industry. This paper analyzes the efficiency of apartment construction firms using DEA model. We evaluate the CCR, BCC efficiency and RTS of 25 apartment construction firms. We also suggest the apartment construction firms which can be benchmarked based on analyzed information. The result shows that four enterprises whose values of CCR efficiency are 1, and ten enterprises whose values of BCC efficiency are 1. RTS indicates IRS of 21 firms and CRS of 4 firms.

• The Journal of the Korea Contents Association
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• v.8 no.8
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• pp.147-157
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• 2008

ERP is the general trend of industrial information system and many companies are introducing strategically to strengthen the competitive power. This paper analyzes the efficiency of introducing companies of ERP system using DEA model. We also suggest the introducing of ERP system which can be benchmarked based on analyzed information. We evaluate the CCR, BCC efficiency and RTS of 38 introducing companies of ERP system. The result shows that three enterprises whose values of CCR efficiency are 1, and seven enterprises whose values of BCC efficiency are 1. RTS indicates IRS of 22 companies. DRS of 2 companies and CRS of 4 companies.