• Title/Summary/Keyword: 초효율성

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A Reviews on the Performance Evaluation Based on Network Analysis and Super-Efficiency Analysis (연결망분석과 초효율성분석의 결합을 통한 효율성 순위 측정에 관한 고찰)

  • Choi, Kyoung-Ho;Kwag, Hee-Jong
    • Journal of Digital Convergence
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    • v.11 no.10
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    • pp.255-262
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    • 2013
  • Data envelopment analysis(DEA) is a linear programming procedure designed to evaluate the relative efficiency of a set of peer entities called decision making units which use the same inputs to produce the same outputs. It has been widely employed in a variety of disciplines as an efficiency or performance measurement tool for comparing a set of entities such as firms, banks, hospitals, nations and organizations. The method, however, cant's make the priority of their performance when many units have efficiency score of unity or 100 percent. In this paper, we propose a new approach which combine qualitative method(graphical approach using network analysis) and quantitative method(super-efficient analysis using DEA), and present the results of an empirical analysis using the data of the Korean professional baseball players. As a result, there were 12 DMU that priority is hardly realized through DEA. However, this problem could be solved with super-efficiency analyzing. Also, more in-depth interpretation was able through integrating results of dendrogram and super-efficiency analyzing and prospecting it in qualitative, quantitative ways.

Data Envelopment Analysis of the Management Efficiency of National Shipping Enterprises in South Korea -Chiefly on the Corporate Entertainment and Advertisement Cost- (DEA모형을 이용한 국적선사의 경영효율성 분석 -접대비와 광고·선전비를 중심으로-)

  • Park, Hyun-Jun;Kim, Hyuna;Lim, Young-Tae
    • Journal of Korea Port Economic Association
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    • v.32 no.2
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    • pp.123-135
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    • 2016
  • This study uses Data Envelopment Analysis(DEA) to investigate the management efficiency of Korean shipping companies based on business administration costs such as corporate entertainment, advertisement, and labor costs. We analyze shipping enterprises listed on the Korean stock market of the period of 2010-2014. Corporate entertainment, advertisement and labor costs are used as input variables and sales and net income are used as output variables. We use technical efficiency, pure technical efficiency, scale efficiency and returns to scale to propose a plan to improve the efficiency of inefficiency decision-making units (DMUs). The results of the efficiency analysis show that six of the DMUs in the technical efficiency of CCR model and eight of the DMUs in the pure technical efficiency of BCC model are in efficient state. In terms of return to scale, six of the DMUs(24% of all DMUs) show increasing returns to scale, while 13 DMUs(52% of all DMUs) showdecreasing returns to scale. Because multiple efficient state for DMUs exist in the technical efficiency analysis, we conduct a super efficiency analysis. The results show that the efficient state of the twomost efficient DMUs are 1.314 and 1.243, respectively. This implies that these DMUs could maintain their current levels of the efficiency if they increase the amount spent on advertisements, corporate entertainment and labor costs by 31.4% and 24.3%. respectively. We conclude this study by providing the efficiency states of each DMU and target for improving the inefficiencies in each case.

A Study on Efficiency of Resident Logistics Companies in Port Hinterland Using Super-SBM (Super-SBM을 이용한 항만배후단지 입주 물류기업의 효율성 분석에 관한 연구)

  • Park, Jong-Min;Jeon, Jun-Woo;Yeo, Gi-Tae
    • Journal of Navigation and Port Research
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    • v.39 no.6
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    • pp.507-514
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    • 2015
  • The purpose of this study is to analyze the efficiency of resident companies in port hinterland logistics that are currently operating. The subjects of the efficiency analysis include 13 logistics hinterland resident companies in Incheon Port and Busan Port. Investment amounts, area, and number of employees were selected as input variables, and volume and sales amounts were selected as output variables. As for the efficiency analysis methods, traditional CCR and BCC models were applied. To overcome the limits of these models, a super-efficiency model and a Super-SBM model were also applied. According to the super-efficiency model analysis, the mean was 0.777 and the standard deviation was 0.54, indicating an approximate 33% difference of efficiency among the companies. According to the Super-SBM model analysis, the mean was 0.649 and the standard deviation was 0.489. When considering residuals in the super-efficiency model, the average efficiency score among the companies decreased by approximately 13%. This means that the efficiency score decrease of DMU, where non-radial residuals exist at about 18% on average. Examining the inefficiency of the inputs, the inefficiency of the number of employees turned out to be largest at -45%, compared to 'area' at -33% and 'investment amount' at -33%.

DEA Model for Measuring the relative Efficiency of Korean Materials and Components Industry (DEA 모형을 이용한 부품소재산업의 효율성 분석)

  • Oh, Ji-Hwan;Chung, Ki-Ho
    • Management & Information Systems Review
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    • v.31 no.1
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    • pp.273-292
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    • 2012
  • This paper attempts to analyze the efficiency of Korean Materials and Components Industry. 48 sample companies are extracted and efficiency analysis for them are accomplished by using DEA model. We use both CCR-I model and BCC-I model and classify the 48 companies into two groups; efficient and inefficient companies. We find the reference set which inefficient companies should benchmark in order to achieve efficiency and present the improving values for input and output variables. We analyze whether the inefficiencies come from scale or inefficient operation by measuring the scale efficiency. Finally the ranking among the efficient companies is derived through the super-efficiency analysis.

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Efficiency Analysis of Credit Guarantee Institutions in North-eastern Asian Countries and Its Implication : Comparison Analysis of Credit Guarantee Corporations of Japan, Taiwan, and Korea (동북아시아지역 신용보증기관의 효율성 분석과 정책적 함의: 일본, 대만, 한국 신용보증기관의 비교분석)

  • Park, Chang il
    • International Area Studies Review
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    • v.22 no.2
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    • pp.61-91
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    • 2018
  • Credit Guarantee scheme is one of the most effective tools for the small business policy. The performance analysis on domestic institution level is relevant in terms of various factors of assisting tools factor. This study measured comparative global efficiency by DEA model and Super-efficiency model among 70 credit guarantee institutions in Japan, Taiwan, and Korea who are operating the schemes. At the result of the analysis, Korean credit guarantee institutions are comparatively efficient than Japanese institutions, and the DMU shows moderate in operation efficiency. The Super-efficiency ranked by Hiroshima, Taiwan SMEG, Pusan, Chiba, Shizuoka, Ulsan, and KOTEC. Most of the Credit Guarantee Institutions showed increasing returns to scale, and it indicates increasing input strategy. The statistical difference of efficiency level in Japan and Korea shows very meaning numbers. This research suggest that (1)Periodical Analysis are needed on Japanese Schemes, (2)The analysis on the impact of credit guarantee scale to the national economy and SME policy, (3) Analysis on the conclusive factors of the efficiency, (4)The policy direction has to be made by inefficient factor analysis, (5) The measurement tools of efficiency of the schemes in various aspects.

An Efficiency Analysis for the Public Activities Support Projects of Non-Profit Private Organizations using DEA (비영리민간단체의 공익활동 지원사업 효율성분석)

  • Choi, Hong-Geun;You, Yen-Yoo
    • 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.

Efficiency Evaluation of Mobile Emission Reduction Countermeasures Using Data Envelopment Analysis Approach (자료포락분석(DEA) 기법을 활용한 도로이동오염원 저감대책의 효율성 분석)

  • Park, Kwan Hwee;Lee, Kyu Jin;Choi, Keechoo
    • Journal of Korean Society of Transportation
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    • v.32 no.2
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    • pp.93-105
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    • 2014
  • This study evaluated the relative efficiency of mobile emission reduction countermeasures through a Data Envelopment Analysis (DEA) approach and determined the priority of countermeasures based on the efficiency. Ten countermeasures currently applied for reducing greenhouse gases and air pollution materials were selected to make a scenario for evaluation. The reduction volumes of four air pollution materials(CO, HC, NOX, PM) and three greenhouse gases($CO_2$, $CH_4$, $N_2O$) for the year 2027, which is the last target year, were calculated by utilizing both a travel demand forecasting model and variable composite emission factors with respect to future travel patterns. To estimate the relative effectiveness of reduction countermeasures, this study performed a super-efficiency analysis among the Data Envelopment Analysis models. It was found that expanding the participation in self car-free day program was the most superior reduction measurement with 1.879 efficiency points, followed by expansion of exclusive bus lanes and promotion of CNG hybrid bus diffusion. The results of this study do not represent the absolute data for prioritizing reduction countermeasures for mobile greenhouse gases and air pollution materials. However, in terms of presenting the direction for establishing reduction countermeasures, this study may contribute to policy selection for mobile emission reduction measures and the establishment of systematic mid- and long-term reduction measures.

Analysis on the Difference in Efficiencies between Environmental Factors of Regional Public Hospitals in Korea using Super-Efficiency Model (초효율성 모형을 이용한 지방의료원의 환경요인별 효율성 차이 분석)

  • Yang, Dong-Hyun
    • The Journal of the Korea Contents Association
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    • v.12 no.7
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    • pp.284-294
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    • 2012
  • In the study, we estimate efficiencies using CCR model of DEA, Super efficiency(AP) model, and super-SBM model with the data of 32 regional public hospitals in Korea from 205 to 2009. With Wilcoxon-Mann-Whitney statistics, we analyze efficiency differences for environmental factors(regions, type of hospital, type of operations, type of education training, relative importance of madicaids) among regional public hospitals. The results can be summarized as follows. Firstly, technical inefficiencies of regional public hospitals range from 15% to 17% in CCR model, 13% to 15% in AP model, 7% to 12.6% in SuperSBM model. Second, we confirm that environmental factors of hospitals cause different inefficiencies among them. The implication of this study is that policy and institutional change may need to improve the efficiencies along with internal managerial reform.

The Data Envelopment Analysis of Global Logistics provider (글로벌물류기업의 효율성 분석)

  • Park, Hong-Gyun
    • Journal of Korea Port Economic Association
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    • v.26 no.2
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    • pp.19-35
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    • 2010
  • The purpose of this paper is to develop a benchmark of performance standards for Global Logistics Provider in the merging logistics market. The Data Envelopment Analysis (DEA) can be employed to compare and analyse the efficiencies of Global Logistics Provider(3PL, 4PL). That is because Global Logistics Providers are able to reach the highest level of efficiency by using Logistics institutions and Logistics service systematically. This research is focused on analyzing the efficiencies of top 40 Global Logistics Providers. The framework assumes that the Providers use three inputs to produce one output. The inputs include number of employees information system, and number of warehouses. The output is the annual turnover. The results show that Panalpina, C.H. Robinson Worldwide, Maersk Logistics/Damco, Hub Group, Lander Global Logistics on Global Logistics Providers are the efficient providers. This paper also allows the inefficient DMUs to establish their benchmarking strategies. The strategies are dependent on the assets such as number of employees, information system, and number of warehouses.

An Analysis of Technical Efficiency of Port Labor Using DEA/Super Efficiency (DEA/초효율법을 이용한 항만노무 효율성 분석)

  • Jang, Woon-Jae
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.23 no.2
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    • pp.161-167
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    • 2017
  • This paper measured and evaluated the technical efficiency, pure technical efficiency and scale efficiency of port labor via three inputs and three outputs using Data Envelopment Analysis (DEA). First, the average overall technical efficiency measured about 94.18 %, with 100 % pure technical efficiency being larger than 94.18% scale efficiency. As a result, 7 ports were identified as efficient, and 4 ports were identified as inefficient. Among the 4 ineffiecient ports, Donghae had the highest Increasing Return to Scale (IRS). However, the inefficient ports were all found to be less efficient in terms of resource operation than production scale. On the other hand, the efficient ports established priorities using the super efficiency method. As a result, port efficiency was highest for Incheon, Mokpo, Pyeongtaek-Dangjin, Masan, Yeosu Gwangyang, Jeju, and Gunsan-Daesan Ports, in order. In particular, Busan Port, found to be inefficient, would benefit from using Mokpo Port and Incheon Port as benchmarks to increase trade volume and modernize equipment for full-scale commercialization to improve labor efficiency.