• Title/Summary/Keyword: 자료포락

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A Study on the Management Efficiency of 'Da U' Sesame Farms in Yangpyeong County (양평군 다유들깨 농가의 경영 효율성 분석)

  • Piao, Shi-Yong;Kim, Sang-Man;Sun, Yu-Cong;Jin, Xuan-You;Lee, Jin;Lee, Jong-In
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.1
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    • pp.504-511
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    • 2020
  • This paper studies the operational efficiency of the new sesame variety "da u" farmed by the Rural Development Administration. In the survey area--Gyeonggi-do Province, where sesame cultivation was the most intensive. Thirty farmers were surveyed by rural enterprises in the Yangpyeng area where 'da u' was planted. The efficiency of the operation was analyzed by studying the data of 30 farmers. In order to analyze the operational efficiency of the farmers, this survey used the DEA model for analysis in order to determine the technical efficiency of farmers. The result shows that the DEA technical efficiencies of most farmers are efficient, and only 6 farmers are inefficient. The reason for the inefficiency is the high cost of input factors. To analyze the determinants of efficiency through the Tobit model, reducing the pesticides and general fertilizers led to increased technical efficiency. This is inefficient use of pesticides and general fertilizers relative to the output factor, and efficient methods should reduce the cost issues.

Efficiency Analysis of Jeollanam-do Food Exprt Industry using DEA and Tier Models (DEA 모형과 Tier 분석을 이용한 전라남도 식품수출업체의 효율성 분석)

  • Chang, Seog-Ju
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.12 no.2
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    • pp.125-136
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    • 2017
  • This study focuses on a relative efficiency of 109 operating food companies out of 22 regions in Jeollanam-do. The relative efficiency has been analyzed by 5 input factors(capital, number of employees, annual labor costs, raw material purchase, and site area) and 2 output factors(annual exports and annual production of the companies in Jeollanam-do). This study suggests efficient companies which inefficient companies can benchmark to improve their system in short-mid-long term in phases. The main result of empirical analysis are as follows: Firstly, according to the Traditioanl DEA analysis, 7 companies out of 109 DMU indicate the optimal production scale in score 1 of CCR efficiency value, BCC efficiency value, and scale efficiency value. Secondly, a result from the Tier 1 step of inefficient companies by Post-DEA suggests that it would be better to apply each Tier step to the proper stage of the worst 5 inefficient companies such as Tier 3 step(short-term benchmark)${\rightarrow}$Tier 2 step(mid-term benchmark)${\rightarrow}$Tier 1 step(long-term benchmark) in step. This study expects that the result of the study can reduce the trial and error in inefficient part, lead to improvement, and have a big help in food exporting industry in the end.

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An Analysis of Efficiency of Container Terminal Companies in Gwangyang, Busan and Incheon Port (컨테이너터미널 운영사별 효율성 분석)

  • Kim, Jae-Young;Chin, Hyung-In;Kim, Soo-Man
    • Journal of Korea Port Economic Association
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    • v.27 no.4
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    • pp.187-205
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    • 2011
  • In considering the size of container logistic flow of Korea, one-port as a hub port is desirable in Busan Port, but as development of Busan Port and Gwangyang Port began as two-ports, they are good as mega hub ports. In case when ports of other regions such as Incheon Port are additionally developed, it is very likely that they become feeder ports rather than mega hub ports. As capital area uses Incheon Port and Pyeongtaek Port for transportation, fierce competition arises due to excessive facilities of terminal companies and it is not easy to be profitable. Therefore, it is more profitable to develop regional hub ports centering on near-sea routes of Korea China Japan rather than local ports such as Incheon Port and Pyeongtaek Port for intensive trade and transportation in the capital area. To mitigate excessive competition between container terminal companies, we need administrative guidance to maintain adequacy through comparing tariffs between ports of Japan and China which are in competitive relations with Korean ports. This study analysed efficiency of container terminal companies in Gwangyang Port, Busan Port and Incheon Port using data for five years from 2006 to 2010. As analytical variables, length of quay, floor area of yard, the number of cranes and employees were analytical variables and a total freight volume was a productive factor.

Analysis of R&D Efficiency between Industries : focusing on Technology-innovative SMEs (연구개발 활동 효율성의 산업간 비교 분석: 기술혁신형 중소기업을 대상으로)

  • Jeon, Soojin
    • Journal of Technology Innovation
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    • v.29 no.3
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    • pp.33-62
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    • 2021
  • This study compares and analyzes the efficiency of R&D activities of technology-innovative small and medium-sized enterprises(SMEs) between industries and proposes ways to improve efficiency. The research samples are 6,708 technology-innovative SMEs, which have received a guarantee by the KIBO from 2008 to 2011. Input variables are the level of R&D personnel, R&D investment, and output variables are patent applications, prototype. Efficiency is measured by the DEA model, and indirect comparisons that are individually measured by industry are performed. As a result of the analysis, the CCR for determining the optimal returns to scale is 0.19, the BCC for determining the optimal input distribution is 0.70, and the SE for determining the optimal output is 0.30. By industry type, the medium and low-tech industries have high CCR and BCC, while the high-end and high-tech industries have high SE. R&D activities need to be operated on an optimal scale through managing R&D performance because there is the inefficiency of scale across the industry. The contribution of the study is to analyze the R&D efficiency of each industry of technology-innovative SMEs by the technology evaluation data of the KIBO.

Analyzing the Impact of Emission Control Area (ECA) Enforcement on Ferry Companies' Financial Performance : Network SBM DEA and BTR model (배출규제해역(ECA) 시행이 페리 선사의 재무성과에 미치는 영향: Network SBM DEA 및 BTR 모형 분석)

  • Lee, Suhyung;Lim, Hyunwoo
    • Journal of Korea Port Economic Association
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    • v.38 no.3
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    • pp.29-51
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    • 2022
  • The International Maritime Organization (IMO) designated the Emission Control Area (ECA) in Northern Europe to reduce the NOx and SOx emissions from ships in the coastal areas. This study used Network slack-based measure (SBM) Data Envelopment Model (DEM) and Bootstrop Truncated Regression (BTR) model to analyze the ECA's impact on ferry companies' financial performances based on the financial data from eight ferry carriers in Northern Europe, the Mediterranean and North America from 2004 to 2017. To alleviate the problem of arbitrary variable selection in DEA, the variable selection criteria proposed by Dyson et al. (2001) were applied; the size of the company was considered through the Network SBM DEA model; and the company's profit-generating process was divided into stages to measure financial performance in more detail. In addition, the BTR model was applied to derive results that minimize the bias of the data. The study found that ECA regulations did not always negatively affect the shipping companies' financial performance. Rather, a steady increase in efficiency was observed for Northern European ferry companies which were subject to the strongest regulations. For North American ferry companies, government subsidies were found to have a significant impact on efficiency, and relatively small impact on efficiency due to the ECA and oil prices. For the Mediterranean ferry companies, efficiency values have decreased since the implementation of ECA regulation despite the lowest level of regulation in the region.

Management performance analysis using the DEA model of the food waste recycling facility (음식물류 폐기물 자원화 시설 DEA모형을 활용한 경영성과 분석)

  • Jeoung, IlSeon;Kim, Youngkyun
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.4
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    • pp.105-114
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    • 2022
  • As the national income level is improving, housing urbanization and economic speed are progressing rapidly, household waste and food waste are rapidly increasing. The "Waste Management Act" (founded in 1991) introduced the volume-based household waste system in 1995, and even after implementation, the odor of food waste and the prompt disposal process continue to be a social problem.For this reason, the food waste recycling business is attracting attention. In this paper, regarding the role of resource recycling such as feed, compost, and other resources of food waste, this thesis aims to reduce the inefficiency of the recycling process. Data Envelopment Analysis (DEA) of the relationship between inputs and outputs of 33 facilities nationwide, excluding facility data (insufficient) among 394, (238 public, and 156 private ones), as of the end of 2020, which is running a domestic resource recycling project This study was conducted to investigate the important role in the relative management performance of food waste recycling facilities.It was hypothesized that the influence of business history, facility capacity, capital, and machinery of a company running a food waste recycling business on sales was tested.

Comparison of Operational Efficiency and Quality Efficiency of Medical Services by Country : Focused on OECD Member Countries (국가별 의료서비스의 운영효율성과 품질효율성 비교: OECD 회원국들을 중심으로)

  • Hyunjung Kim;Jiyoon Son
    • Journal of Service Research and Studies
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    • v.11 no.4
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    • pp.43-55
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    • 2021
  • This study analyzed the efficiency of medical services in OECD member countries by dividing it into operational efficiency and quality efficiency. For this purpose, data from 2017-2019 OECD Health Statistics were used. As the analysis method, super efficiency was measured by applying an output-oriented Variable Returns to Scale (VRS) model. As a result of the analysis, Switzerland, Korea, and Italy were included in the high group of operational efficiency, Canada, Greece, Denmark, etc. in the medium group, and Belgium, Germany, and Spain in the low group. Based on quality efficiency, Norway, Switzerland, and Spain are in the high group, and Greece, Denmark, Mexico, etc. are in the medium group, and the Netherlands, Germany, Belgium, etc. were included in the low group. As a result of comparative analysis of efficiency by OECD member countries as of 2018, it was found that Korea's operational efficiency was the most efficient and quality efficiency was inefficient. Korea (0.998) should improve life expectancy by 0.2 (0.2%) and subjective health perception by 44.2 (138.1%) by benchmarking Greece (0.422), Switzerland (0.207), and Spain (0.371) to improve quality efficiency. Unlike most previous studies that focused on operational efficiency, this study measured quality efficiency together and analyzed the efficiency of the medical service industry in each OECD member country. Through this, this study has implications in that it confirmed the international competitiveness of the domestic medical service industry and suggested ways to improve efficiency.

Relative Efficiency and Productivity Change of the Korean Life Insurance Firms (국내 생명보험회사의 상대적 효율성 및 생산성 변화)

  • Kang, Ho-Jung
    • The Journal of the Korea Contents Association
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    • v.9 no.4
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    • pp.323-330
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    • 2009
  • This study measures the relative efficiency and productivity change of the Korean Life Insurance Firms using DEA model and Malmquist Index for 2004-2007. The main results of this study can by summarized as follows. First, in case of efficiency of CCR for 2004-2007, the number of efficient firms(CCR value is one) are six firms, five firms, four firms, seven firms respectively. Second, in case of efficiency of BCC for 2004-2007, the number of efficient firms(BCC value is one) are eight firms, nine firms, ten firms, twelve firms respectively. Third, In case of return to scale for 2004-2007, DRS are nine firms and IRS are two firms, DRS are five firms and IRS are five firms, DRS are five firms and IRS are four firms, DRS are five firms and IRS are two firms respectively, Fourth, Malmquist Index representing productivity change for 2004-2007 are 1.12 in 2004-2005, 0.97 in 2005-2006, 1.05 in 2006-2007.

A Study on Efficiency of Safety in Urban Railway perating-Organization using Data Envelopment Analysis (DEA기법을 이용한 도시철도 운영기관의 안전 효율성에 관한 연구)

  • Roh, Sun-Hwa;Kook, Kwang-Ho
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.1262-1274
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    • 2011
  • Urban railway started its operation in August 15, 1978 in Korea. Nowadays, it is being operated in Seoul, Busan, Incheon, Deagu, GwangJu, and Daejeon, and it is playing a major role in mass transportation. Urban railways can provide rapid and convenient transportation to citizens in eco-friendly and energy saving way. However, urban railway operating organizations have been in financially difficult conditions due to the enormous debts borrowed for the construction of railways. Urban railway operating organizations are under pressure to improve its difficult financial conditions through the efficient management of the organization. The management and operation efficiency of urban railway organizations have been evaluated since 1993 by Ministry of Public Administration and Safety to make those organizations more competitive, responsible and efficient. However there are some limitations in evaluation since they do not reflect the relative size of organizations, relative newness of facilities, etc so that it's not objective and loses fairness. This study proposes an improved method for the evaluation of safety.

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Calculation of Human Resources for Medical Technologist in Diagnostic Testing (진단검사분야의 임상병리사 인력산정에 관한 연구)

  • Yang, Byoung Seon;Lim, Yong;Kim, Yoon Sik;Oh, Yeon Suk;Bae, Do Hee;Choi, Se Mook
    • Korean Journal of Clinical Laboratory Science
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    • v.52 no.2
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    • pp.158-163
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    • 2020
  • This study examines and presents reasonable improvement measures for the operation and revision of the relative value scoring system, and the basis for performance of a medical technologist. Seven hospitals were enrolled in the study, and included 5 resident laboratory medicine specialists and 53 medical technologists, giving a ratio of 10.6 technologists per laboratory medicine specialist. The average of professional manpower scores was 18, and the average of each medical institution's total score was 78. Ratings and additional rates were in the range 2~3%, and quality-added ratios were 2~3%, with no significance. Excluding pathological testing and assessing physiological functions, the average number of diagnostic tests for health insurance claims were 9,618,062, including 4,378,146 points for 5% of the total relative value scores. According to the DEA, the appropriate number of medical technologist is one person per 49,974 points of relative value. In conclusion, our study results indicate that it would be desirable to set the appropriate workforce for medical technologist to one person per 50,000 points of relative value. Our data could be used as a basis for enhancing productivity of the workforce and balancing health care resources.