• Journal of Navigation and Port Research
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• v.43 no.2
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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.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.1
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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.

• The Journal of the Korea Contents Association
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• v.9 no.5
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• pp.224-229
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• 2009

This study measures the relative efficiency and productivity change of the Korean Non-Life Insurance Firms using DEA model and Malmquist Index for 2004-2007. The main results of this study can by summarized as follows. First, in case of efficiency of CCR for 2004-2007, the number of efficient firms(CCR value is one) are one firm, one firm, one firm, one firm respectively. Second, in case of efficiency of BCC for 2004-2007, the number of efficient firms(BCC value is one) are five firms, five firms, six firms, six firms respectively. Third, In case of return to scale for 2004-2007, DRS are five firms, DRS are five firms, DRS are six firms, DRS are six firms respectively, Fourth, Malmquist Index representing productivity change for 2004-2007 are 0.99 in 2004-2005, 1.04 in 2005-2006, 1.06 in 2006-2007.

• 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.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.283-291
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• 2020

The purpose of this study is to analyze the relative efficiency of the research results of the convergence research project (CAP, Convergence Research Center) and general trust research project under the auspices of the NST, as the qualitative assessment of the government's R&D investment has recently been emphasized. To achieve this objective, DEA, which is widely used for the relative efficiency of research results, was used. The analysis targets were focused on the case of the KBSI, and the quantitative assessment of the number of papers and patent applications using net research and labor costs as input indicators for the DEA was compared and analyzed through IF of the paper and SMART3 of the patent. The analysis results showed that convergence research projects were highly efficient from a qualitative perspective in terms of CCR standards and BCC standards. This suggests that convergence research is being conducted at a higher level than general entrusted research. As a result of this study, we would like to present the criteria for qualitative assessment, which the government has recently emphasized, and expand this study to provide implications for planning policies and research tasks for rational R&D investment choices for human resources and research funds by assessing the efficiency of qualitative perspectives on all institutions in the future.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.529-539
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• 2022

This study analyzed the index change in efficiency and productivity for the tax reorganization project of the regional headquarters of Korea Asset Management Corporation using panel data for 3 years from 2017 to 2019 using the DEA-Malmquist analysis model. According to the DEA analysis result, the average of the efficiency by the CCR model of the regional headquarters tax reorganization project of the Korea Asset Management Corporation was 0.671 in 2017, 0.772 in 2018, and 0.699 in 2019, and the average of the efficiency by the BCC model was 0.798 in 2017, 0.851 in 2018 and 0.771 in 2019. As a result of analyzing the Malmquist productivity index, the time series average productivity index MPI increased by 4.5%. These results appear to be attributable to the increase in technological efficiency, technological change, and scale-efficiency change rather than the decrease in net efficiency change. Looking at the change in MPI by year, it decreased by 14.6% in 2017-2018, but increased significantly to 27.8% in 2018-2019. Through the results of DEA analysis of specific tax projects of public corporations, each regional headquarters of Korea Asset Management Corporation will be able to contribute to reinforcing business capabilities through mutual benchmarking.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.3
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• pp.126-132
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• 2013

In this paper, efficiencies of core technology development projects, conducted by Ministry of Trade, Industry and Energy, are compared. In the process, DEA (Data Envelopment Analysis) is utilized as a main technique for comparing efficiencies. For DEA, input oriented BCC Model is adopted with government grant, recipient expenditure, the number of participating institutions, and project duration as input factors, and the number of patents, the number of papers, and occurred sales as output factors. As a result, next generation mobile communication project turns out to be the most efficient project of all. Therefore, next generation mobile communication project should be benchmarked for the other projects to follow. However, these results should be used only for reference data since every project has a different objective and, of course, is run under a different environment.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.4
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• pp.298-312
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• 2013

This paper compares efficiency results and performance targets for academic departments in a local private college using DEA (Data Envelopment Analysis). Because of an aging society, a smaller school-age population entering colleges, and enhanced accreditation standards by the government, colleges and universities are not recruiting and retaining sufficient students and therefore are struggling for survival. In contrast to popular four-year undergraduate universities concentrated in Seoul and its satellite cities, retaining students is critical for the survival of local private colleges in poor or remote regions. Therefore, it is very important to identify the factors involved in the retention of students in the various departments of a college. However, given the different characteristics of the departments, it is difficult to identify one unique or robust set of standards to evaluate their performance. The purpose of this paper is to maximize student retention capabilities by ensuring that additional resources are assigned to efficient DMUs, while, inefficient DMUs are given benchmarked targets. Based on previous studies and college accreditation standards, this paper presents indices to be used in evaluating the efficiency of academic departments in a college. In evaluating relative efficiency, this paper uses the output-oriented BCC model. To define target levels to be achieved for efficient DMU, a multi-stage DEA procedure is used.

• 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.

• Journal of Korea Port Economic Association
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• v.30 no.2
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• pp.93-112
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• 2014

To study the business performance, this research reviewed the revenue of 2012 for shipping and logistics companies in Korea, then selected 10 shipping companies and 10 logistics companies according to annual sales amount. These 20 companies are divided into four groups considering their business structure and their financial performance are organized from 2005 to 2012. Then CCR, BCC model has been applied to static efficiency and dynamic changes in productivity for analysis. As an overall result, logistics companies are proven to be better than shipping company in efficiency, change of productivity, growth and profitability. Among the logistics companies, the performance of second party logistics companies are relatively better in those factor above than the third party logistics companies.