• Cement
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• s.201
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• pp.16-19
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• 2014

2014년 국토교통부 예산이 전년대비(22조원, 추경포함) 5% 감소한 20.9조원으로 국회 본회의를 통과하였다. 경기활성화 및 일자리 창출을 감안하여 SOC투자 규모가 크게 줄어들지는 않았지만, 향후 복지지출 등의 수요증가로 SOC투자여건은 계속 어려워질 전망이다. 이러한 가운데 편안하고 접근성이 좋은 SOC에 대한 국민들의 기대수준은 더욱 높아지고 있어 국토교통부는 올해 SOC투자 효율성을 제고하는데 초점을 둔다는 방침이다. 즉 도로, 철도 등 주요 SOC사업의 투자 패러다임의 효율성을 높이고, 국민들의 체감효과도 높이는 방향으로 전환해 나갈 계획이다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.512-520
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• 2020

This study analyzed the relative operational efficiency and impact factors of regional public hospitals to present benchmarking points for enhancing the efficiency of inefficient regional public hospitals. The survey targets collected and utilized the internal resources and management performance data from 34 regional public hospitals in Korea over the past five years, from 2014 to 2018. The final 33 regional public hospitals were surveyed, excluding Jinan Regional Public Hospital, which opened in 2015, the middle of the survey period. The general characteristics and input/output variables were analyzed by frequency analysis and technical statistics analysis, and Data Envelopment Analysis was performed to measure the operational efficiency index and relative comparison. According to the study, there were 11 efficient hospitals (33.3%) and 22 inefficient hospitals (66.7%). Of the 22 inefficient hospitals, 13 (IRS: Increasing Returns to Scale) required scale expansion, and nine (DRS: Decreasing Returns to Scale) required scale reduction or rebalancing. The significance of this study was that an analysis of the relative efficiency and influencing factors presented specific alternatives or directions that could help enhance the efficiency of the growth of regional public hospitals, sustainable management, and expansion of publicness.

• Proceedings of the Korean Labor Economic Association Conference
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• 1999.12a
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• pp.3-20
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• 1999

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.10
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• pp.867-873
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• 2013

Competition policy for growth and activation of market should consider structural nature of relevant industry closely. In this viewpoint, whether domestic MNOs(mobile network operators) are competing while securing the effect of scale economies and maximum production efficiency is an important element when looking for competition policy means of domestic mobile communication market. With this, present study analyzed level of MES (Minimum Efficient Scale) and whether achieving them or not through investigating the relation between the cost per minute and call traffic of domestic MNOs. This analysis is differentiated from existing econometric studies entailing several assumptions by enhancing a reality reflection through directly deducing of cost curve using verified data(cost per minute and call traffic). As a result of analysis, the levels of minimum efficient scale were different from each other between domestic MNOs, and an incumbent MNO(SKT) accomplished minimum efficient scale while entrant MNOs(KT and LGU+) could not yet reach minimum efficient scale level. This result demonstrates a gap exists in production efficiency level among domestic MNOs and implies that the policy to alleviate the gap among operators is required when establishing competitive policy in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.553-555
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• 2007

클러스터 시스템은 가격대 성능비의 효율성 때문에 다양한 분야에서 활용되고 있으며, 구축 규모도 급속히 증가하고 있다. 특히, 인터넷을 통한 정보 검색 및 공유가 활발하게 이루어지면서, 정보를 수집, 가공 및 제공하는 대형 포털들의 규모가 급속히 증가하고 있다. 포털들은 대량의 정보를 서비스하기 위해서 대규모의 클러스터 시스템을 운영하고 있으며, 이러한 시스템을 유지 관리하는 것은 커다란 문제점중의 하나이다. 대규모 클러스터 시스템의 운영 비용중에서 전력비용이 상당히 큰 부분을 차지하고 있으며, 이를 감소시키려는 다양한 시도가 진행되고 있다. 본 논문에서는 클러스터 시스템의 전력사용량을 감소시키기 위해서 CPU 의 전력을 효율적으로 관리하는 있는 관리 메커니즘을 제안한다.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.13 no.4
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• pp.58-75
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• 2005

본 연구는 국적항공사를 포함하여 지난 1998${\sim}$2001년까지 세계 주요 항공사들의 생산성의 변화 추이가 어떻게 전개되었고, 어떤 요인에 의해 영향을 받았는지를 분석하였다. 특히, 1997년 금융위기 이후 생산성의 변화에 주안점을 두었다. 추정결과, 우선 세계 주요 항공사들은 1998${\sim}$2001년 기간 동안 약 0.3%의 생산성 하락을 기록하였고, 이러한 생산성의 변화는 생산 프론티어에 비해 0.9% 악화된 반면, 산출물을 생산하는 기술 수준은 0.6% 확대된 것으로 분석되었다. 다음으로, 항공사의 '유상톤키로미터' 기준에 의한 규모별 생산성 증가율은 소형규모(group1)와 대형규모(group6)에 속한 항공사들에서 각각 3.5%, 2.1% 하락한 것으로 나타났다. 반면, 중형사들은 생산성의 증가가 이루어진 것으로 제시되었다. 또한, 기간별로는 1997년 금융위기 이후 1998년과 1999년은 각각 1.5%, 0.2%의 생산성 하락을 보였다가, 2000년은 1.7% 생산성이 다소 향상되었으며, 2001년 다시 1.2%의 생산성 하락을 보이고 있다. 마지막으로 항공사별로는 동 기간 동안 아시아지역 항공사들(AAR, SIA, ANA 등)은 생산상 향상을 가져온 반면, 미국 항공사들(UAL, AAL 등)은 생산성 하락을 가져온 것을 알 수 있다. 국적항공사의 경우에는 KAL은 1998${\sim}$1999년 기간 동안은 생산성 하락을 가져왔으나, 2000${\sim}$2001년은 큰 폭의 생산성 향상을 가져왔다. AAR은 1998년 생산성 하락이 이루어진 이후 1999년부터는 높은 생산성 향상이 이루어졌다.

• Journal of Navigation and Port Research
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• v.44 no.4
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• pp.338-346
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• 2020

In this study, we first measured the Malmquist productivity index by DEA among the Korean ocean carriers. Second, it was intended to present measures to improve productivity by identifying the influence and discriminating power between productivity and the major financial ratios (profitability, financial stability, liquidity, efficiency and value-added productivity). Compared to 2017, there are 11 more shipping carriers with decline in productivity (MPI) than those with an increase in 2018. The increase in productivity is attributed to an increase in the Technology Change Index (TCI) affected by the external environment. There is strong significant correlation between the productivity (MPI) and the management efficiency (CRS). Additionally, the TECI (TECHI) index of the technological efficiency changes from internal factors of the shipping carrier is significantly higher than that of the efficient shipping carrier. This is because of the differences in scale efficiency. The ratio of charter cost/sales is also lower than that of the carriers with high productivity (0.17) and with low productivity (0.21). With 7% of the shipping carrier with MPI>1, only 1% of MPI <1 is found to have a significant impact on its productivity.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.400-406
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• 2017

This study was conducted to provide improvement measures for Korea's medicinal crop farmers whose business has been severely damaged by imported medicinal herbs. To accomplish this, the performance and efficiency of farming Angelica dahurica and Bupleurum falcatum were analyzed. The results of the analysis can be summarized as follows. First, the farming households cultivating Angelica dahurica had an average revenue of 1,363,000 KRW per 10 acres. The average income per 10 acres was 500,000 KRW, and the income ratio was 36.7%. Second, the farming households cultivating Bupleurum falcatum had an average revenue of 1,705,000 KRW per 10 acres, with an average income per 10 acres of 873,000 KRW and an income ratio of 44.6%. Third, the farming households cultivating Angelica dahurica were found to have a technical efficiency of 0.790, a pure technical efficiency of 0.856, and a scale efficiency of 0.924. Fourth, the farming households cultivating Bupleurum falcatum were found to have a technical efficiency of 0.670, a pure technical efficiency of 0.794, and a scale efficiency of 0.844. Both Angelica dahurica and Bupleurum falcatum farming households showed relative differences in technical efficiency. The pure technical aspects, rather than the scale aspects, were shown to contribute more to the differences.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.4
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• pp.87-101
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• 2024

This study aims to provide insights for the efficient utilization of resources by analyzing the entrepreneurship support efficiency of Korean universities. To identify the factors influencing the number of entrepreneurs, which is the primary goal of university entrepreneurship support, a multiple regression analysis was conducted, identifying five effective independent variables. Using these five identified independent variables as input variables and the number of entrepreneurs as the output variable, the DEA method was used to analyze the efficiency of entrepreneurship support for each university as of 2023. The analysis of 150 four-year universities in Korea showed that nine universities exhibited complete efficiency in both CCR and BCC models. Among the remaining 141 universities that showed inefficiency, the cause was scale for five universities, technology for two universities, and both scale and technology for 134 universities. Regarding the returns to scale, nine universities exhibited CRS, 79 exhibited IRS, and 62 exhibited DRS. Additionally, reference groups that could serve as benchmarks for improving the efficiency of inefficient universities were identified, and target values(projections) for each variable to achieve efficiency were also presented. Despite the limitations of the DEA model, this study helps each university identify the causes of inefficiency in their entrepreneurship support and derive specific improvements to enhance efficiency. This facilitates more efficient resource management and can positively impact the ultimate goals of university entrepreneurship support, such as regional economic development and job creation.

• International Commerce and Information Review
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• v.16 no.4
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• pp.55-75
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• 2014

Non-parametric method such as technology efficiency, DEA/Window model and Malmquist Productivity Index (MPI) are used to measure efficiency and productivity of ICT (Information and Communication Technology) manufacturing industry and service industry over the period 2007-2011. The results of this paper indicate following: (1) Technology efficiency of the ICT manufacturing industry were found as the range of 0.34 and 0.39 over the sample period. Technology efficiency of the ICT service industry were found as the range of 0.16 and 0.20 over the sample period. (2) The geometric average of the Malmquist TFP indexes on ICT manufacturing industry indicated the productivity improvement an average of 8.3 percent. The geometric average of the Malmquist TFP indexes on ICT service industry indicated the productivity improvement an average of 1.6 percent. (3) TIER analysis result on ICT manufacturing industry showed that optimal bench marking made by storage devices${\rightarrow}$wireless communication equipment${\rightarrow}$broadcasting equipment${\rightarrow}$radio, recording and playback devices${\rightarrow}$computers, printers, video and audio-visual equipment path. TIER analysis result on ICT service industry indicated that optimal bench marking made by computers and packaged software${\rightarrow}$wired communication${\rightarrow}$communication, information, detection equipment${\rightarrow}$consulting and construction for computer systems integration${\rightarrow}$industrial machinery and equipment rental${\rightarrow}$telecommunications reseller${\rightarrow}$system software development and delivery${\rightarrow}$hosting path.