• 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.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.119-120
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• 2013

본 연구는 DEA기법을 이용하여 저성장, 저마진, 고위험의 삼중의 어려움 속에서 저비용 고효율의 생산조직과 리스크관리, 건전 여신 정착을 위해 건전성, 생산성, 자본적정성, 수익성이라는 상업은행의 핵심성과지표를 이용하여 효율성을 분석하였다. 분석결과 시중은행과 지방은행 모두 자본적정성에는 효율적이었으나 수익성과 생산성에 있어서는 시중은행이 지방은행보다 효율적이었다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.133-134
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• 2018

본 연구는 우리나라 물류기업의 경영 효율성 비교 분석을 통해 물류기업의 특성별 차이가 있는지 파악하였다. 분석방법은 효율성을 측정하는데 유용한 자료포락분석(DEA)의 CCR 및 BCC 모형을 이용했다. 투입변수는 종업원 수와 매출원가를 사용하였고, 산출변수는 매출, 영업이익과 당기순이익을 사용하였다. 분석자료는 2016년도 공시된 금융감독원 전자공시시스템의 자료를 활용했다. 분석결과 고효율성으로 나타난 물류기업의 수는 3자 물류기업이 많았으며, 효율성이 높은 2자 물류기업들은 우리나라 대기업의 물류 자회사로서 모기업 및 계열사들의 물량을 바탕으로 내부거래 비율이 높은 것으로 나타났다.

• Journal of Digital Convergence
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• v.17 no.12
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• pp.147-157
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• 2019

The purpose of this study is to analyze the efficiency of urbanization in 31 provinces and cities in China, including both desirable and non-expected outputs produced during the urbanization process. Efficiency was analyzed by applying the SBM-DEA model using the urbanization calculation data of 2017 in 31 provinces and cities in China. The results show that the urbanization efficiency of eastern region is the highest, followed by central region and northeast region, and the urbanization efficiency of western region is the lowest. This study is meaningful in that it analyzes the efficiency of urbanization in 31 provinces and cities in China and suggests the direction of continuous urbanization policy. This study is limited in that it does not reflect the past trend only by conducting cross-sectional analysis for one year in 2017, and it is necessary to comprehensively evaluate urbanization efficiency by conducting additional longitudinal area analysis in the future.

• The Journal of the Korea Contents Association
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• v.7 no.6
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• pp.195-205
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• 2007

The steel industry plays an important role in the entire Korean Economy. However, little empirical research has analyzed the efficiency of steel companies. The purpose of this paper is to measure and analyze their efficiency using DEA models. We evaluate the CCR and BCC efficiency and the return to scale of 28 Korean steel companies. We also provide their envelopment map and the projection, which are valuable information for inefficient companies to find benchmarking companies and to improve their efficiency.

• Journal of Korean Library and Information Science Society
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• v.41 no.4
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• pp.35-50
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• 2010

The purpose of this study was to analyse the ralative efficiency of 15 public libraries over a time period(2006-2008) by Data Envelopment Analysis(DEA). The selected input variables were total staff, total area and total holdings. And the selected output variables were total circulations and total user. The results are as followed. First, a technical efficiency trend of public libraries has been improved since 2006. Second, a technical efficiency increase can be explained by increase of a pure technical and scale efficiency both.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.145-147
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• 2006

최근 차세대 메모리 기술이 급격히 발전하여 FeRAM과 PRAM같은 비휘발성 메모리의 상품화가 진행중 이다. 이러한 차세대 비휘발성 메모리는 메모리와 저장장치의 속성을 모두 만족시켜 주지만, 용량/가격 면에서 비효율적이다. 따라서 다양한 크기의 객체를 효율적으로 표현하고 네이밍과 같은 영속성을 제공하면서 공간 효율성이 뛰어난 관리기법이 필요하다. 비휘발성 메모리에서 공간 효율성을 높이기 위하여 새로운 메모리 파일시스템을 설계하였으며, 본 논문에서는 파일 시스템을 설계하면서 파일 시스템의 공간 효율성을 측정하기 위한 공간 비용 분석 모델과 그 결과를 제시한다. 분석 모델은 다양한 파일 시스템의 공간효율성을 수치로 제시하여 파일 시스템 설계 단계부터 공간 효율성을 예측하고 설계를 구체화하는데 매우 큰 도움이 되었다. 또한 분석 모델은 파일 시스템의 공간 효율을 최대화하는 블록 크기를 결정하는 데 근거를 제시하였으며 아울러 공간 효율을 최대화하는 블록 크기는 파일 시스템에 존재하는 파일의 평균 크기에 의존적임을 보여주었다.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.353-363
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• 2021

This study analyzed to provide information for business improvement by analyzing the management efficiency of start-up investment companies so that startup investment companies can operate efficiently and by presenting information on inefficient factors. From 2014 to 2018, 83 start-up investment companies were analyzed using the DEA model. Input variables were he number of employees, capital, and output variables were selected for start-up investment assets, operating income, and net profit. As a result of the analysis, technical efficiency and pure technical efficiency showed a pattern with an increase in average, but scale efficiency repeatedly increased and decreased. It is believed that the decline in technology efficiency was due to the decrease in pure technology efficiency, and the inefficiency of start-up investment companies seems to have influenced the inefficiency of start-up investment companies rather than the inefficiency of scale. In addition, the size revenue shows that the DRS value is gradually decreasing, and the IRS value is generally increasing. It is believed that efficiency can be improved if operational inefficiency is improved based on the results and efficiency measures are established through scale expansion.

• Environmental and Resource Economics Review
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• v.26 no.2
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• pp.205-227
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• 2017

Today, the global environment has so many serious problems such as global warming, ecological destruction and air pollution. Now China is the second largest carbon emissions country in the world. In this paper, we estimated the ratio of GDP per unit of carbon emissions for each of 30 provinces in China, and then also estimated the carbon emission efficiency of 30 provinces and analyzed the factors that affecting them. There are differences in carbon emission efficiency among different provinces, and carbon emission efficiency is relatively high in Hainan Province, Beijing, and Tianjin. In the regression results of the factors affecting the carbon emission efficiency, when the proportion of service industries is higher, the efficiency is higher. Also, when the higher the proportion of heavy industry and the higher the proportion of coal consumption are estimated to be worse.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.351-356
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• 2004

This study aims to implement an empirical research about the efficiency of container Ports, and to suggest an effective strategy which can operate container Ports more well. This paper presents a new approach to the measurement of efficiency. Data envelopment analysis(DEA), as it is called, has particular applicability in the service sector. This study applies DEA to provide an efficiency measurement for fifty three container ports including Pusan Port. As a result, we suggest several ideas that can improve the efficiency of container terminals. They are as follows. Firstly, we discriminate between efficient and inefficient container ports and then present a method that can move to efficiency container terminal and a benchmarking port. Secondly, we evaluate the efficiency of Pusan port, and grasp the position at the present time, suggest an advanced direction in future.