• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 추계학술대회
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• pp.128-130
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• 2016

온라인 콘텐츠와 모바일 단말기의 대중화에 따라 국내 디지털 콘텐츠 산업은 높은 성장률을 보이면서 빠르게 발전하고 있다. 본 연구에서는 DEA 모형을 이용하여 온라인 디지털 콘텐츠 산업의 기술적 효율성을 측정하고 효율성 제고를 위한 시사점을 모색한다. 실증분석을 위한 투입요소로는 업종별 사업체수와 종사자수를 사용하였고, 산출요소로는 총매출액을 사용하였다. 실증분석 결과, 온라인 디지털 콘텐츠 산업의 기술적 효율성은 상당히 낮은 수준인 것으로 나타났으며 이는 주로 규모의 비효율성에 기인한 것으로 분석되었다. 이와 같은 결과는 기술혁신역량을 강화하기 위한 산업성장전략 추진이 필요함을 시사하는 것으로 향후 온라인 디지털 콘텐츠 산업의 경쟁력 제고에 도움이 되는 실질적인 참고자료로 활용될 것으로 기대된다.

• 보건행정학회지
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• 제23권1호
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• pp.78-89
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• 2013

This study empirically analyze efficiency and productivity changes of public hospitals of Korea using data envelopment analysis/Window model and global Malmquist indices model. We use the ten-year data from 2001 to 2010 of 30 regional public hospitals listed database from the Association of Korean Regional Public Hospitals. The main focuses are to reveal whether the technical inefficiency are improved as time goes by, and efficiency and productivity are affected by environmental factors. The results can be summarized as follows. First, the efficiencies of public hospitals rise in trend as time passes. Second, regional public hospitals show the different average efficiencies according to their regional type, hospital type, operational type, medicaid type, and demand and supply conditions by Mann-Whitney U-tests. Third, technical efficiency changes mainly contribute to 4.4% annual average growth rate of productivity of regional public hospitals during that period. Our findings have some policy implications. It is confirmed that there exist some environmental inefficiencies, and those inefficiencies can not be overcome through just improving the inner management system. Thus, policy and institutional changes are necessary for regional public hospitals to improve efficiency and productivity overall.

• 보건행정학회지
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• 제6권2호
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• pp.91-114
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• 1996

In this research, the Data Envelopment Analysis(DEA) was applied to measure production efficiency of Public Corporation Medical Centers(PCMCs) operating in Korea. The focus of this research is triple. First, identifing convenience and usefulness of DEA to measure the relative efficiency among PCMCs. Second, assessing magnitudes of the relative efficiency for each PCMC. Third, adding insights into some factors resulting inefficiency in PCMCs. Then, in this paper technical efficiency and scale efficiency measured by DEA[introduced by Charnes, Cooper, and Rhoides(1978) and Banker, Charnes, and Cooper(1984)] were analyzed and a new separate variable was introduced which makes it possible to determine whether operations were conducted in regions of increasing, constant or decresing returns to scale(in multiple input and output situations). And a multi-factor Tobit analysis was conducted to see which variables are associated with PCMC's efficiency.

• 한국IT서비스학회지
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• 제16권4호
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• pp.15-31
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• 2017

This study analyzes 45 Korea IT service companies from 2012 to 2016 using DEA analysis. Large enterprises, medium enterprises and small and medium enterprises (SMEs). CCR model and BCC model were used for efficiency analysis. Among the various analytical objects, the decision objects which yield the maximum output with minimum input are compared with other analysis objects. The relative inefficiency was measured through this, and Technical Efficiency (TE), Pure Technology Efficiency (PTE), Scale Efficiency (SE), scale profit, reference frequency were analyzed. Also, we analyzed the Technology Gap Ratio (TGR), which is the distance between production function and Meta-Frontier for each firm, using Meta-Frontier analysis. Finally, the Tobit model is used to analyze the sources of efficiency and inefficiency. The inputs are assets, capital, and employees, and the output factor is sales. The analysis shows that large firms are achieving technological achievements more efficiently than small and medium enterprises. As a result, medium-sized enterprises and SMEs can improve efficiency overall through efficient operation of workforce and appropriate combination of inputs such as assets and capital. Also, as a result of the influence factor analysis, it was found that the ratio of the managed asset ratio and the management cost ratio were significant factors influencing the efficiency of the IT service companies. This study suggests the efficiency analysis using DEA for many Korea IT service companies. Inefficient parts of each company are classified according to size and technology. Also, we identify the most efficient companies and analyze the causes of those companies whose profits are lower than their size.

• 대한안전경영과학회지
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• 제17권4호
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• pp.87-96
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• 2015

This study analyzed the safety management efficiency through input-oriented BCC Model using DEA by making of Models, in which this study selected the number of staff affiliated with the construction site, number of staff members on the construction team, and number of safety personnel as Input Factor, along with the number of disaster victims and zero-accident accomplished hours as output elements, targeting 40-or-so apartment building construction sites which are being built by 3 domestic construction companies. As a result of efficiency, it was 0.643, the number of efficient DMU was 4. In the aspect of returns to scale, 21 construction sites(52.5%) found to be in a state of increasing returns while 14 construction sites(35%) was in a state of Decreasing returns. The reason for inefficiency was found to lie in technical factors in case of 30 construction sites(75%). Lastly, inefficient DMU is in need of 38.9 % and 66% reduction in site personnel and safety personnel. Based on study results, the 29 construction sites accounting for 72.5% of DMU for safety management efficiency evaluation object turned out to do inefficient safety management that doesn't fit the size of each company.

• 보건행정학회지
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• 제8권2호
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• pp.1-24
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• 1998

There exists a general consensus in Korea that patients tend to concentrate in large hospitals and this tendency is partly responsible for inefficiency in health services. The process of choosing a medical care provider for health care services and evaluating the provider after utilization seems to involve many diverse factors to become very complex. Therefore a systemsatic study is needed to achieve sufficient understanding of the proeess. For this point of view, this study investigates patient's selection of medical care institution for delivery care services and their evaluation of the institution after delivery. In more specific, the objectives of the study are twofold: 1) to identify the factors associated with expectant mothers' choice of type of medical care institution for delivery among tertiary hospitals, general hospitals, small hospitals, and clinics: and 2) to understand the factors affecting patient evaluation of the medical care institution after delivery. The data used for the analysis were collected through face-to-face interviews with those women who had childbirth during the period from January 1, 1996 to the date of interview in February 1998. The survey was conducted using preqared structured questionnaire in Seoul. The sample was drawn from each of arbitrarily defined four regions of Seoul, Northeast, Northwest, Southeast and Southwest, in proportion to the number of births reported in 1996 in each of them. The distribution of the interviewed women by educational level was made similar to that of mothers of new babies reported in 1996. The sample size was planned to be about 300, but ended up with analytical sample of 319. Major conclusions emerged from the analysis can be summarized as follows: 1) Large hospitals were evaluated as much better for technical quality than other types of institutions, whereas they were compared similar to or worse for other attributes. And it was found that technical quality of care is considered as the most important condition of medical care institution for delivery, while the amount of direct cost is considered as the least important one. Taken together, the utilization of large hospitals is not likely to decrease even though they cannot give satisfaction to patients in other aspects than technical quality. 2) The activeness in the search for information affected the respondents' evaluation of medical care institutions, which would influence their later decision or recommendation to other persons as to the choice of source of health care services. Therefore, increased efforts should be directed to improving availability of useful and correct information for patients in relation to the utilization of health care services. 3) Since the findings of this study were obtained from the analysis of delivery care services, their applicability to other kinds of services may be limited. Thus it would be useful to conduct a comparative study of several kinds of services explicitly taking into account the characteristics of those services in the analysis.

• 한국유기농업학회지
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• 제30권3호
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• pp.351-374
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• 2022

In recent years, the development of rice industry has been highly valued by the state. In hubei area, due to the development of the modernization and the shortage of labor, traditional way of rice cultivation methods is facing serious challenges, and economic benefits have become the decisive factor for the effective promotion and application of rice cultivation methods. According to the research results, first, in the input-side analysis, in the CCR model, D5, D12, D26, D28, D32, D36 farmers with high efficiency appear. The analysis result shows that among the 60 farmers, the average efficiency is 89%, and there is an inefficiency of 11%. In the BCC model, 14 farmers were identified as high-efficiency farmers, with an average efficiency of 0.9453. Second, in direct seeding cultivation of rice, the average scale efficiency is 0.9227, while the average pure technical efficiency is 0.9644. This shows that the effect of scale efficiency is greater than that of purely technical factors, ignoring the reasons for the low operational efficiency of direct seeding cultivation farmers. It can be predicted that with the further deepening of farmers' understanding of this planting mode, the proportion of rice direct seeding may be further expanded in the future. Relevant agricultural departments should further promote this technology to farmers, study the direct seeding technology using scientific methods, and evaluate the changes of this cultivation mode. The agricultural departments of government should concern about the climate risk assessment of direct seeding rice, the environmental impact assessment caused by the extensive use of herbicides, the application of mechanical technology in the process of direct seeding, the lodging of direct seeding rice, and other related issues.

• 유통과학연구
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• 제11권8호
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• pp.5-14
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• 2013

Purpose - We live in a world of constant change and competition. Many airports have specific competitiveness goals and strategies for achieving and maintaining them. The global economic recession, financial crises, and rising oil prices have resulted in an increasingly important role for facility investment and renewal and the implementation of appropriate policies in ensuring the competitive advantage for airports. It is thus important to analyze the factors that enhance efficiency and productivity for an airport. This study aims to determine the efficiency levels of 20 major airports in East Asia, Europe, and North America. Further, this study also suggests suitable policies and strategies for their development. Research design, data, and methodology - This paper employs the DEA-CCR, DEA-BCC, and DEA-Malmquist production index analysis models to determine airport efficiency. The study uses data on the efficiency and productivity of the world's leading airports between 2006 and 2010. The input variables include the airport size, the number of runways, the size of passenger terminals, and the size of cargo terminals. The output variables include the annual number of passengers and the annual cargo volume. The study uses basic data from the 2010 World Airport Traffic Report (ACI). The world's top 20 airports (as rated by the ACI report) are investigated. The study uses the expanded DEA Model and the Super Efficiency Model to identify the most effective airports among the top 20. The Malmquist productivity index analysis is used to measure airport effectiveness. Results - This study analyzes longitudinal and cross-sectional data on the world's top 20 airports covering 2006 to 2010. A CCR analysis shows that the most efficient airports in 2010 were Gatwick Airport (LGW), Zurich Airport (ZRH), Vienna Airport (VIE), Leonardo da Vinci Fiumicino Airport (FCO), Los Angeles International Airport (LAX), Seattle-Tacoma Airport (SEA), San Francisco Airport (SFO), HongKong Airport (HKG), Beijing Capital International Airport (PEK), and Shanghai Pudong Airport (PVG). We find that changes in airport productivity are affected more by technical factors than by airport efficiency. Conclusions - Based on the study results, we offer four airport development proposals. First, a benchmark airport needs to be identified. Second, inefficiency must be reduced and high-cost factors need to be managed. Third, airport operations should be enhanced through technical innovation. Finally, scientific demand forecasting and facility preparation must become the focus of attention. This paper has some limitations. Because the Malmquist productivity index is based on the hypothesis of the, the identified production change could be over- or under-estimated. Further, as DEA estimates the relative efficiency. It also cannot generalize to include all airport conditions because the variables are limited. To measure airport productivity more accurately, other input variables and environmental variables such as financial and policy factors should be included.

• 한국산학기술학회논문지
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• 제21권1호
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• pp.504-511
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• 2020

본 연구에서는 농촌진흥청에서 개발 및 보급해온 들깨 "다유" 품종 재배 농가의 경영 효율성을 분석하고자 한다. 조사지역은 전국에서 들깨를 가장 많이 재배하는 경기도 지역을 선택하였고, 그중 다유 들깨를 제일 많이 재배하는 양평지역의 마을기업을 통해 30명 농가를 섭외하여 조사하였다. 그리고 조사한 30명 농가 조사자료 바탕으로 경영 효율성분석을 실시하였다. 다유 들깨 재배 농가의 경영 효율성을 분석하기 위하여 자료포락분석(DEA, Data Envelopment Analysis)을 이용하였으며 양평군 다유 들깨 재배 농가의 기술효율성을 분석하였다. 분석결과 30 농가 중 24 농가의 기술효율은 효율적으로 나타났고, 6 농가는 비효율적으로 나타났다. 이는 양평지역 들깨 재배농가들이 비교적 요율적으로 재배하는 것이며, 10번 농가, 20번 농가를 비효율적인 대표로 비효율적인 원인을 파악한 결과 투입요소의 비용이 높아 비효율적인 것으로 나타났다. 또한 Tobit모형을 통한 효율성 결정요인을 분석한 결과 농약비와 일반비료를 감소할 수록 기술효율성이 높아진다고 나타났다. 이는 산출요소에 비해 농약과 일반비료 비효율적으로 사용하며 효율적인 방법은 두 비용을 감소해야 한다고 이해할 수 있다.

• 산업클러스터
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• 제2권1호
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• pp.44-60
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• 2008

본 연구에서는 국내 주요 7개 산업클러스터에 대해 자료포락분석(DEA)을 통한 상대적 효율성과 생산구조를 비교.평가하였다. 2004년 혁신클러스터로 지정된 울산, 창원, 구미, 원주, 반월시화, 광주, 군산 7개 지역을 대상으로 분석한 결과 울산, 원주를 제외한 5개 지역이 모두 산업클러스터 도입이후 효율적인 상태로 개선되어가고 있음을 보이고 있다. 또한 과거의 비효율성의 원인은 모두 투입과 산출의 물리적인 관계를 나타내는 기술적 요인이 아닌 생산규모의 적절성을 나타내는 규모의 요인에 의한 것임을 알 수 있었다. 또한 노동과 성장, 자본과 성장, 연구개발과 성장간의 포지셔닝 분석을 통해 각 산업클러스터별 생산구조를 비교.평가한 결과 상대적으로 반월시화 클러스터와 구미클러스터의 생산구조가 노동, 자본, 연구개발 면에서 모두 우수한 것으로 나타났다. 반면 원주와 울산, 군산클러스터의 경우 상대적으로 노동, 자본 면에서 생산구조가 취약한 것으로 평가되었다.