• 보건행정학회지
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• 제15권2호
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• pp.53-69
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• 2005

This study has two different objectives. First of all is to comparing results of size efficiency scoring on Public Corporation Medical Center(PCMC) by years of 1993, 1997 and 2003 using Data Envelopment Analysis (DEA). The second is to explore the relationship between revenue and PCMCs' efficiency score, and the relationship between expenses and the efficiency score in 2003. The average efficiency scores were significantly decreased by years of 1993, 1997 and 2003. The revenue per bed(revenue) in 2003 was smaller than the expenses per bed(expenses) in 2003, therefore PCMCs had deficits in 2003. The expenses was negatively related to the efficiency score. Therefore its means was that improving efficiency score decreased expenses. Contrarily, the revenue had any significant relation to the efficiency score. PCMC needs to various endeavors to improve their productivity and efficiency. One of the alternatives is reduce of work load through integration of PCMC and development of new performance index reflecting their situation and future direction.

• 품질경영학회지
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• 제32권2호
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• pp.77-92
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• 2004

It is difficult but very necessary to measure the productivity of container terminals as logistics service provider. It is meaningful to find the appropriate inputs and outputs of the logistics service delivery systems and to measure the relationship between these inputs and outputs. This study proposes a model of evaluating the efficiency of container terminals. The evaluation consists of three phases. First, DEA(Data Envelopment Analysis) phase, determines the efficiency score and weights of DMUs(Decision Making Unit). This phase performs through four steps : selection of DMU, selection of DEA model, determination of input and output factors, calculation of efficiency score and weights for each DMU. Secondly, CEM (Cross Evaluation Model) phase, is to calculate the cross-efficiency scores of DMUs. This phase performs through three steps: selection of CEM, determination of cross-efficiency score for each DMU and development of cross-efficiency matrix. Finally, average cross-efficiency analysis phase is to compute the average cross-efficiency score. The proposed model discriminates among DMUs and ranks DMUs, whether they are efficient or inefficient.

• 보건행정학회지
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• 제11권4호
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• pp.38-53
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• 2001

The price of the hospitals' services is regulated by the governmental health insurance reimbursement schedule in Korea. On the other hand, the emphasis on the quality of care of hospitals service is ever increasing. Under the environment, hospitals have to understand the effects of the activities to improve quality of care on efficiency and on financial performance so that they develop a management strategy that allows quality of care, operational efficiency, and financial achievement simultaneously. This study investigates the relationship among the concepts. The sample for the study includes 23 hospitals that have more than 300 beds. The concept of quality of care is measured by the score reported by the Hospital Standardization Survey (HSS) instituted by Korean Hospital Association. Efficiency is measured by the ratio of number of employee to the number of patients served. Financial performance is measured by the financial ratios indicating the profitability of a hospital. An analysis is performed using the multiple regression. The results show significant positive relationships between the HSS score and efficiency indicators, md between the HSS score and profit measures. However, the significant positive relationship between the HSS score and profit measures disappeared when efficiency indicators were introduced to the model. This study concludes that the structural quality of a hospital has a positive effect on efficiency of the hospital and that the structural qualify indirectly affects the financial performance of a hospital through the improvement of efficiency. Based on the findings, the implications on hospital management and health policy are discussed.

• 가정∙방문간호학회지
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• 제19권1호
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• pp.11-18
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• 2012

Purpose: The aim of this study is to evaluate the efficiency of the outpatient clinics in a hospital, using DEA. Methods: Data were collected using an activity-based costing system, medical information system, and annual reports of customer satisfaction management team of a general hospital in a city. The input variables were the number of doctors, the number of nurses, and the number of staffs. The output variables were the number of treatment times, the number of outpatient clinic patients, the total profits from outpatient clinic, the patient's satisfaction score, and the number of re-visit appointments. EMS Window version 3.1 was used to measure the efficiency score and benchmarking analysis. Results: The average efficiency score of 24 outpatient clinics was about 82.01%. Thirteen outpatient clinics had 100% efficiency score among them. The lowest efficiency score was 57.56%. Conclusion: According to these results, we found that, generally, outpatient clinics were operated very efficiently. However, some outpatient clinics had low efficiency and they needed specialized outcome improvement strategies. To increase the efficiency of inefficient outpatient clinics, we will recommend using results of DEA, as a benchmark point of the most efficient outpatient clinics.

• Communications for Statistical Applications and Methods
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• 제11권3호
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• pp.435-446
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• 2004

In this paper we introduced a new score generating function for the rank dispersion function in a multiple linear model. Based on the new score function, we derived the asymptotic relative efficiency, ARE(11, rs), of our score function with respect to the Wilcoxon scores for the generalized F distributions which show very flexible distributions with a variety of shape and tail behaviors. We thoroughly explored the selection of r and s of our new score function that provides improvement over the Wilcoxon scores.

• International journal of advanced smart convergence
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• 제9권4호
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• pp.52-61
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• 2020

The AHP method was used in 30 provinces of China to construct the index system of creative space efficiency evaluation and determine the weight of each index. The fuzzy comprehensive evaluation method was further used to score the indexes at all levels, and then the total efficiency score was sorted. The purpose of this study is to adjust the regional layout of creative space reasonably and implement financial policies accurately through the evaluation of the efficiency of creative space. The results is ranking top in weight of several indicators, which include the number of incubated Startups, the number of innovation and entrepreneurship mentors, the survival rate of incubator, the innovative training activities, etc. It was also found that Beijing, Shanghai, Jiangsu, Guangdong and Zhejiang ranked first in the score of creative space efficiency. This study is meaningful in that it was In order to effectively solve the problem of the imbalance of the creative space efficiency in China's province, by coordinating the regional pattern, establishing a sound service system and improving the efficiency evaluation system.

• 수산경영론집
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• 제41권3호
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• pp.129-151
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• 2010

This study is to analyze the efficiency of Korean fishing ports using DEA. First, the study calculated the efficiency scores based on a CCR-BCC framework and hence technical, pure technical, and scale efficiency scores are seperated for the 38 fishing ports under study. The Average of technical, pure technical, and scale efficiency are turned out to be 0.6834, 0.8582, and 0.7774 respectively. The 15 fishing ports are fully efficient under the constant returns to scale while 21 fishing ports under the variable returns to scale. Second, the super efficiency scores are also calculated under the radial model without the consideration of slacks. The highest score is turned out to be 4.4984 for the P16 fishing port with the average score of 0.9652 for the entire fishing ports. Nevertheless, P16 fishing port has showed up only once as a reference set. On the other hand, P34 fishing port has showed up 11 times as a reference set, which scored the second highest score of 2.9815. Finally the super efficiency scores are calculated under the non-radial model with the explicit consideration of slacks. Now the P34 fishing port scored the highest score of 2.3424 with even 15 times referred to a bench-mark. Therefore the importance of P34 fishing port is emphasized once again on the field of bench-marking for the efficiency of fishing ports. When the targets for the input factors to improve the efficiency of each DMU are calculated the area of fishing port needs the most adjustment to be reduced for 40.36% on the average, while the cosignment sales area does the least adjustment for 13.70%.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.317-328
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• 2021

This study examines the impact of bank competition and efficiency in the financial stability of the banking sector in Bangladesh. The study used the Lerner index and the Boone indicator to represent the bank competition, while the non-performing loan (NPL) and Z-score are used to represent financial stability. The secondary data were collected from the annual reports of 28 DSE listed commercial banks of Bangladesh over the period from 2011 to 2018. Using a dynamic panel GMM model, the study found the Lerner index is significantly negatively related with Z-score, which means that higher bank competition results in higher bank stability. It is also seen that higher cost efficiency results in higher bank stability. The Lerner index has negative, but insignificant impact on NPL. Similarly, using the Boone indicator, this study found that lower competition increases NPL. In terms of the Z-score, the Boone indicator found that 1 unit of increment results in decrease of the Z-score by 6.15 units. The study suggests that, as more competition results in more financial soundness, the banking industry competition should be ensured by policymakers or regulators. Banks could enhance financial stability by cost control to achieve cost efficiency as well as by improving loan-to-asset ratio.

• KDI Journal of Economic Policy
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• 제28권1호
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• pp.49-93
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• 2006

본 연구는 은행과 보험 간의 겸업이 은행의 안정성과 효율성에 어떠한 영향을 미치는가를 실증분석하고 있다. 실증분석은 국내 모든 은행과 보험회사의 2000년부터 2004년까지의 5개년 자료를 가지고 Z-score 및 복합함수형태 (composite functional form) 모형을 사용하여 진행하였다. 안정성 분석결과는, 은행이 보험업을 겸영할 경우 겸업비중이 확대될수록 안전성은 저하됨을 보여주고 있다. 효율성 분석에서는, 전체 은행의 경우 은행이 보험업무의 겸업비중을 확대함에 따라 비용효율성은 감소하지만, 수익효율성은 증가하며, 결과적으로 이익효율성은 증대되는 것으로 나타났다.

• 가정∙방문간호학회지
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• 제18권2호
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• pp.118-125
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• 2011

Purpose: The aim of this study was to evaluate the efficiency of nursing units in a hospital using DEA. Methods: Data were collected using the medical information system of a general hospital in a city. Input variables were number of nurses, number of nurse-aides, number of beds, and overhead costs. Output variables included number of admitted patients, rate of bed utilization, satisfaction of discharged patients, and prevention rate of safety accidents and sores. EMS Window version 3.1 was used to measure the efficiency score and descriptive statistics were applied to analyze the general characteristics of variables. Results: The average efficiency score of 18 general nursing units was approximately .99. Nine nursing units had a 1.00 efficiency score. Conclusion: Our findings reveal that nursing units operated very efficiently. To increase efficiency of inefficient nursing units, we recommend results of the DEA slack analysis as a benchmark of the most efficient nursing unit.