• 한국병원경영학회지
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• 제16권4호
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• pp.35-66
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• 2011

This study analyzed efficiency by utilizing DEA analytical technique centering on materials for 2009 of 20 major university hospitals in capital area. Input variables were utilized professor & full-time doctor, resident, nurse & number of bed hospitals. Output variables were analyzed by dividing number of annual outpatients & number of annual inpatients, and annually total outpatient profit & inpatient profit into a model of the standard for number of patients and the standard for medical profit. DEA analysis was elicited efficiency score by applying CCR, BCC, BFG, scale profit, and SE model. Through t-test after eliciting efficiency score, the implications were suggested by comparing efficiency between DMU in Seoul and DMU in capital area, by comparing between high-class general hospitals and general hospitals, and by comparing between high-class general hospitals in Seoul and 5 big hospitals. As a result of analysis, the major university hospitals in capital area showed high efficiency as a whole close to "1," but indicated low efficiency relatively in CCR field. Thus, the expansion in scale within capital area was indicated to reach the limit. Second, in a model of analyzing the standard for number of patients, the medical institutions, which are being operated efficiently, were indicated to be 10 DMUs. In the standard for medical profit, 12 DMUs were analyzed to be operated efficiently. Third, the efficiency in general hospital was higher than high-class general hospital. Thus, the efficiency of operation was indicated to be more important than scale. Also, large high-class hospitals(big 5) where are located in downtown Seoul showed the higher efficiency than other general high-class general hospitals, but were indicating very low efficiency in some DMUs. Fourth, as a result of generalizing and evaluating the number of patients and the medical profit, the efficient DMU was indicated to be more when analyzing on the basis of medical profit than the standard for number of patients. Thus, major university hospitals in capital area were indicated to make more effort for section in medical profit. Based on the analytical results of efficiency, a strategy for reinforcing efficiency in inefficient DMU was indicated to be needed a strategy of creating customers for promoting number of patients and a strategy for making operation efficient for increasing profitability.

• 한국항해항만학회지
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• 제29권3호
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• pp.215-220
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• 2005

본 연구는 우리나라 RCC/RSC의 효율성은 전체 기술적 효율성, 순수 기술적 효율성과 규모의 효율성으로 구분하여 측정 평가하였다. RCC/RSC의 전체 기술적 효율성은 평균 $91.03{\%}$ 수준이었으며, 순수 기술적 효율성은 $96.80{\%}$로 나타났고 규모의 효율성은 $93.83{\%}$로 전체 기술적 비효율성이 가장 높게 나타났으며 이것은 생산규모에 따른 비효율성보다는 자원의 비효율적인 운영에 따른 효율성에 큰 문제가 있는 것으로 판단된다. 또한 규모에 대한 수익체감은 통영RSC, 수익체증은 인천, 태안, 군산, 여수, 울산, 동해 등의 RCC/RSC로 나타났다. 따라서 효율성이 낮은 RCC/RSC는 효율성이 높은 준거집단을 참조하여 벤치마킹을 해야 한다.

• 한국안전학회지
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• 제32권5호
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• pp.141-148
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• 2017

Over the past 30 years, the business effects of the improvement project at black spot have been decreasing since 2010, with a reduction in the amount of government spending, coupled with proposing a uniform improvement plan. In order to promote more efficient improvement projects, it is necessary to evaluate the efficiency of local governments and improve the business methods of local governments with low efficiency. However, more sophisticated efficiency analysis methods are needed. Because in previous studies have been limited to the analysis of effects before and after the project through the simple before-after analysis. For this purpose, this study analyzed the efficiency of improvement project at black spot by local governments in Gyeonggi-do using DEA to compare and analyze efficiency in various fields. As a result, Goyang, Seongnam, Paju, Hanam and Yangju showed high efficiency local governments. For local governmetns with low efficiency, the improvement projets to improve efficiency were divided into civil engineering work, structure work, pavement work, additional work and transportation work, and the appropriate construction ratios of each local government were analyzed and presented.

• 디지털융복합연구
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• 제19권5호
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• pp.353-363
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• 2021

본 연구는 창업투자회사가 효율적으로 운영될 수 있도록 창업투자회사의 경영 효율성을 분석하여 비효율적인 요소의 정보 제시를 통해 경영 개선을 위한 정보로 제공하고자 한다. 2014~2018년 83개의 창업투자회사를 대상으로 DEA 모형을 활용하여 분석하였다. 투입변수는 직원 수와 자본, 산출변수는 창업투자자산, 영업수익, 당기순이익을 선정하였다. 분석 결과, 기술효율성과 순수 기술 효율성은 평균이 점차 증가하며 동일한 양상을 보였으나, 규모 효율성은 증가와 감소를 반복하였다. 이는 기술 효율성의 하락은 순수 기술 효율성의 하락에 기인하였다고 보여 지며, 창업투자회사들의 비효율은 규모의 비효율보다는 운영의 비효율이 창업투자회사들의 비효율에 영향을 끼친 것으로 판단된다. 또한, 규모수익을 보면 DRS 값은 점차 감소하는 것으로 나타났고, IRS 값은 대체로 증가하는 추세를 보였다. 결과치에 따른 운영의 비효율성을 개선하고, 규모 확대를 통해 효율성 방안을 수립한다면 효율성을 개선할 수 있을 것으로 판단된다.

• 수산경영론집
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• 제46권2호
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• pp.111-125
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• 2015

This study is to analyze the efficiency of Korean sea food manufacturing using Data Envelopment Analysis. Firstly, based on an output oriented traditional CCR, BCC model, the study estimated the efficiency scores. The average estimates of technical, pure technical, and scale efficiency turned out 0.6517, 0.7184, 0.9074 respectively, which are separated for 50 marine corporations. The 10 DMUs were efficient under CCR model while the 17 DMUs under BCC model. Also, the study suggested that the operating profit of the two output factors should be more increased relatively and averagely from the viewpoint of efficiency improvement. Secondly, super efficiency scores are estimated under super efficiency and SBM model. As a result, it came to be possible to distinguish and rank the efficiency of the efficient DMUs. The highest score was 4.2975 under Super-CCR, was 2.4947 under Super-BCC, was 2.7160 under SBM-Super-CCR, and was 1.5319 under SBM-Super-BCC model. The average estimates of super efficiency were 0.76 and 0.82 under Super-CCR and Super-BCC model respectively, and were 0.61 and 0.67 under SBM-Super-CCR and SBM-Super-BCC model. Finally, the study conducted a rank-sum test, Wilcoxon-Mann-Whitney test, to find a statistical significance of heterogeneity existing in efficiencies among the sample corporations. The result showed that there was a significant difference in average efficiency between Dried, Salted product manufacturing and Frozen product manufacturing under BCC-Super efficiency model at 10% level of significance. Furthermore, TOBIT model was applied to find out the potential factors that might influence the efficiency, Wilcoxonand the results showed debt and sales cost influenced all of the technical, pure technical, and scale efficiency, while net profit influenced only the technical efficiency.

• 디지털융복합연구
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• 제11권5호
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• pp.159-168
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• 2013

본 연구에서는 국내 투자중개매매업을 영위하고 있는 29개 증권사들의 2011년도 실적을 토대로 BSC와 DEA를 결합한 모델을 적용하여 증권회사의 경영효율성을 분석해 보았다. 또한, 경영혁신의 기법으로서 BSC의 논리적 체계에 근거하여 효율성이라는 측면에서 국내증권사들의 경영실태를 평가해 보고자 하였다. 분석결과 고객 효율성 지수가 높은 기업이 종합지수가 높은 경향이 있는 것으로 나타나 고객관점 지수가 국내 증권사들의 종합 경영 효율성 산정에 중요한 요인으로 작용하고 있는 것으로 확인되었다. 또한 효율성 분석결과를 바탕으로 증권사들의 전통적 재무비율인 ROI와 ROA 등 수익성 비율과 효율성지수의 상관관계 분석을 실시한 결과 유의미한 양의 상관관계를 보여 BSC관점의 경영 효율성이 높은 기업들이 수익성 측면에서도 좋은 실적을 기록하고 있음을 확인하였다. 본 연구에서 제시한 BSC-DEA 결합모델은 증권업 분야 뿐 아니라 다른 산업 분야에서도 경영 효율성을 판단하는 좋은 경영지표로 활용되어질 것으로 기대되며, 기업의 유 무형자산에 대한 가치 평가를 통합할 수 있는 균형모델로 사용될 것으로 기대된다.

• 산업경영시스템학회지
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• 제42권2호
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• pp.62-68
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• 2019

The growth and employment effects of R&D investment were analyzed according to business size, export value and manufacturing sectors so as to suggest improvement directions for effective industry policies. The effect of R&D investment was considered simultaneously from the two perspectives of growth and employment effect, and the causality analysis was carried out by using a path analysis. The result of the path analysis confirmed significant differences in the growth effect of R&D investment depending on business size. However, the effect of increasing employment was difficult to obtain statistically significant results for any various combinations of business size and export value. This is a mixture of directions for the effects of R&D investment on employment, which could be due to the failure to consider appropriate time lags between investment and effect. Efficiency analysis by industry sectors confirmed significant differences in efficiency depending on business size, but differences depending on export value were difficult to identify. In order to derive improvement policy by industry sector according to business size and export value, the direction of selective support policy and universal support policy was derived for six industry groups by combining the return to scale in the efficiency analysis and R&D concentration. Hirschman-Herfindahl index is used for calculating R&D concentration.

• The Journal of Asian Finance, Economics and Business
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• 제7권6호
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• pp.297-304
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• 2020

This paper applies the Data Envelopment Analysis (DEA) to compute the managerial efficiency of 30 insurance companies listed on the Saudi stock exchange for the duration of four years from 2015 to 2018. The companies taken as a sample of study included both conventional and Takaful insurance companies. The insurance sector of KSA is one of the largest sectors in the country, contributing a substantial percentage in the non-oil economy. Efficiency measurement and evaluation will provide a venue to introspect and benchmark frontiers to the sector. In the present study, we have utilized the basic Banker Charnes Cooper and Charnes Copper Rhodes models of DEA. Two inputs, namely, general & administrative expenses and policy & acquisition costs, and two outputs (Net premium earned and Investment Income & other incomes) were taken for efficiency calculations. The final outcomes of the study reveal that a good number of insurance companies operating in KSA are found to be efficient on managerial efficiency scale. Three firms remain the leader on the frontier of the managerial efficiency. And no company found with zero (0) efficiency or a negative efficiency. It is expected that the outcome of the study will provide benchmarks to managers and a road map to further improvement.

• 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.

• 대한산업공학회지
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• 제40권2호
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• pp.172-183
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• 2014

This paper measures and compares the efficiency of national health technology R&D programs focused on translational research program increasing importance using data envelopment analysis (DEA). Three input variables and three output variables are selected for DEA. Inputs are funds, researchers, and project period and outputs are SCI (E) papers, applied and granted patents, and impact factor. This study uses a three-stage approach. In the first stage, output-based DEA model is applied to evaluate the efficiency of decision making unit (DMU). In the second stage, based on efficiency scores of target diseases high-efficiency group and low-efficiency group are classified. And then strategic portfolio matrix of translational research program is composed of four dimensions combining research types. Mann-Whitney U test is then run to compare average efficiency scores among four groups. In the final stage, Tobit regression model is used to estimate factors likely to influence the efficiency. The results are expected to provide policy implications for effectively establishing investment strategy and managing performance of R&D program.