• Journal of Digital Convergence
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• v.12 no.6
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• pp.181-192
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• 2014

This study suggests consulting directions for non-profit private organizations which were found to be inefficient in the efficiency analysis for the public activities support projects on those organizations performed by the Korean government. An ANOVA analysis on seven types of public activities support projects showed that there were differences among those types. By applying CCB-I, BCC-I, Super efficiency models among DEA, performance efficiencies were analyzed. Four input elements (age of the organization, supported amount, number of members, and the number of workers) and three output elements (project scores, financial scores, and comprehensive scores) were analyzed, and high efficient organizations were found as benchmarking objects, and, through super efficiency analysis, those objects were classified into short, mid, and long-term objects. Through such methods, this research provided organizations with the best information on other organizations to learn from and improve themselves.

• Korea Real Estate Review
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• v.28 no.3
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• pp.37-52
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• 2018

This paper analyzed the relative efficiency of industrial complexes by type based on the DEA Model. In this analysis, the output and exports of 287 industrial complexes in 2017 were used as output variables, while the industrial land area and the number of employees in the same year were used as input variables. The results of the relative efficiency of industrial complexes by type were as follows: The relative efficiency of industrial complexes was affected mainly by type and the operating period of industrial complexes. In the types of industrial complexes, the most efficient industrial complex was the Urban, high-tech industrial complex, followed by the National industrial complex and the General industrial complex. Therefore, high-tech innovation and government support for industrial complexes would be necessary to increase the efficiency of industrial complexes. In the operation period of industrial complexes, relative efficiencies increased with longer operation periods. To maximize the regeneration effect of the old industrial complex, efficiency must be kept as a priority item of the old industrial complex regeneration project.

• 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.20 no.3
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• pp.255-285
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• 2012

As the environmental performance is getting important in global automotive industry sector, there is a need to build the intellectual capacity. Hence it is important to measure the performance of the green car patent development of global automotive companies. To do this, we propose to use Data Envelopment Analysis(DEA) Model with Analytic Network Process(ANP), which generates weight coefficients of inputs and outputs for DEA-AR(Assurance Region) model. We considered three inputs: corporate asset, R&D expenditures, number of employees, and three outputs: patent counts, patent citations and patent claims. The results showed that our model could measure the potential of green car technology, and we could see the trend of the green car industry sector.

• Journal of the Korea Convergence Society
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• v.13 no.3
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• pp.217-225
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• 2022

We analyzed efficiency and productivity of the Indian non-life insurance market affected by the COVID-19 pandemic from 2020. Using data envelopment analysis(DEA), we examined non-life insurance companies selling health insurance products in India from FY2013 to FY2019. We found the followings. First, average efficiency of the entire non-life insurance industry worsened in the beginning yet improved later. Second, analyzing the efficiency measures by group, we found that private insurance companies had the highest efficiency, followed by state-run insurance companies and pure health insurance companies. Third, average annual productivity growth rate of companies operating distance selling channels including telemarketing is higher than that of traditional face-to-face channels. During and after the COVID-19 pandemic, therefore, Indian non-life insurance companies should focus their resources and efforts on the development of distance selling channels when establishing business strategies. Besides, it would be interesting to extend our analysis to the post-coronavirus period and we leave this for future research.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.423-432
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• 2022

Due to the development of treatments due to COVID-19, the Firm-value of the pharmaceutical industry has increased. However, the development of treatments has been delayed, and the development of overseas markets has become difficult due to COVID-19. Therefore, this study aims to present an efficient management plan for each firm by analyzing the management efficiency of these firms. As for the research method, DEA analysis was conducted for the pharmaceutical industry. Through this method, we propose values of input variables that inefficient companies can benchmark. As a result of the analysis, there was no significant difference in management efficiency before and after COVID-19, but it was confirmed that the management efficiency of certain Firm decreased. Through this study, it is possible to judge a Firm's survival competitiveness and management strategy, and furthermore, a plan to continuously grow and enhance competitiveness was suggested.

• Journal of Korean Society of Transportation
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• v.21 no.4
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• pp.113-132
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• 2003

Using nonradial data envelopment analysis(DEA) under assumptions of strong disposability and variable returns scale, this paper annually estimates productive. technical and allocative efficiencies of three publicly-owned rail transit properties which are different in terms of organizational type: Seoul Subway Corporation(SSC, local public corporation), the Seoul Metropolitan Electrified Railways sector (SMESRS) of Korea National Railroad(the national railway operator controlled by the Ministry of Construction and Transportation(MOCT)), and Busan Urban Transit Authority (BUTA, the national authority controlled by MOCT). Using the estimation results of Tobit regression analysis. the paper next computes their true productive, true technical and true allocative efficiencies, which reflect only the impacts of internal factors such as production activity by removing the impacts of external factors such as an organizational type and a track utilization rate. And the paper also computes an organizational efficiency and annually gross efficiencies for each property. The paper then conceptualized that the property produces a single output(car-kilometers) using four inputs(labor, electricity, car & maintenance and track) and uses unbalanced panel data consisted of annual observations on SSC, SMESRS and BUTA. The results obtained from DEA show that, on an average, SSC is the most efficient property on the productive and allocative sides, while SMESRS is the most technically-efficient one. On the other hand. BUTA is the most efficient one on the truly-productive and allocative sides, while SMESRS on the truly-technical side. Another important result is that the differences in true efficiency estimates among the three properties are considerably smaller than those in efficiency estimates. Besides. the most cost-efficient organizational type appears to be a local public corporation represented by SSC, which is also the most grossly-efficient property. These results suggest that a measure to sort out the impacts of external factors on the efficiency of rail transit properties is required to assess fairly it, and that a measure to restructure (establish) an existing(a new) rail transit property into a local public corporation(or authority) is required to improve its cost efficiency.

• Journal of Energy Engineering
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• v.23 no.3
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• pp.42-50
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• 2014

Korean government has been investing more than 400 billion KRW in R&D on renewable energy. This paper aims to measure the R&D efficiency of national R&D program in the field of renewable energy, and to identify the sources of inefficiency. 4,213 R&D projects supported by Korean government during 2009-2011 are analyzed by using Data Envelopment Analysis and statistical tests. Results implies as follows. First, hydrogen, bio, fuel cell, photovoltaic have higher R&D efficiency than other renewable energies. Second, universities conducted national R&D program more efficiently than firms did, and small and medium sized enterprises are more efficient than large sized enterprises. Third, R&D inefficiency is mainly caused by the lacks of patent performance rather than excessive R&D investment or academic paper performance.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.571-580
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• 2014

Korea's water supply efficiency is low, due to weak industrial structure, such as small scale, regional disparities in the management and services, unreasonable problem in a use and management of interregional water resources. This study investigated changes in the productivity of Jeollabuk-do local water supply service by using analysis of efficiency by data envelopment analysis and Malmquist Index Analysis. As a result, 6 office is showed that the value of scale efficiency is 1 and productivity index per gun in mainly seemed below average. Therefore these offices should strive to increase their productivity. This study is differentiated from earlier studies in the aspect of measuring change of productivity by not only DEA but also Malmquist productivity analysis. Therefore it will contribute to increase productivity of water supply in Jeollabuk-do.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.477-487
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• 2015

The purposes of this study was to analyze the relative efficiency of nineteen Jeju Self-Governing Schools (JSGS) in elementary level by using DEA (Data Envelopment Analysis). Major results from the study are as follows: First, there were significant differences on the relative efficiency among JSGS, which might come from operation factors rather than from size factors of JSGS. Second, to improve the relative inefficiency of JSGS, it is quite suggestive that satisfaction of both students and parents would be developed, and that the quality of educational programs should be developed by analyzing especially parents characteristics and reflecting their needs. Lastly, the perspective of efficiency, which is a measure of the optimal usage of available school resources, should be adopted and used for school assessment in order to develop the relative efficiency of JSGS.