• 제목/요약/키워드: Envelopment

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An Empirical Study of the Determinant Factors of Banking Efficiency of China (중국 은행효율성의 결정요인에 관한 실증적 연구)

  • Cho, Dae-Woo;Zhu, Hui-Qin
    • International Area Studies Review
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    • v.12 no.2
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    • pp.79-97
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    • 2008
  • After entering into the WTO in October, 2001, China started opening her bank industry on a full scale and her financial markets from the end of 2006. It is true that the Chinese commercial banks should make efforts to enhance their operational efficiency for adapting the rapid change of financial environments. In this paper, the efficiency of 4 Chinese state-owned commercial banks and 11 share holding commercial banks has been estimated. Our Tobit model to find out the determinants of these banks' efficiency. The results are as follows: The efficiency of these banks kept being improved from 1999 to 2003. With regard to the relationship between the determinants and the bank efficiency, their capital ratios, ownership structures and government subsidies are significant at the 5% level while the return on asset(ROA) is significant at the 10% level. The relationship between the determinants and the efficiency has showed that the size, capital ratios, ROA and ownership structure showed significantly before the entry to WTO, on the other hand, after WTO their capital ratios are the only factor to determine their efficiencies.

The Relation between Management Efficiency and Financial Performance in Public Institutions

  • Jang, Ji-Kyung
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.4
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    • pp.161-167
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    • 2022
  • This study aims to analyze the relation between management efficiency and financial performance in public institutions. Based on 135 public institutions published in public business information system from 2017 to 2020, Data Envelopment Analysis(DEA) for estimating management efficiency was performed. This study analyzed the relationship between DEA and financial performance included ROA and ROS using multi-regression analysis. The results of this study are as follows; We find that there is significant positive relation between management efficiency and ROA. We also find this significant relation in model with ROS. This finding implies that management efficiency a factor that improve financial performance in public institutions. The results of this study can provide an important empirical evidence for evaluating the strategy of governance to improve financial performance by enhancing management efficiency.

An Analysis of Productivity and Efficiency in Indian Non-Life Insurance Companies: DEA-Based Approach (DEA를 이용한 인도 손해보험회사의 효율성 및 생산성 분석)

  • Seo, Daigyo;Kwon, Yongjae
    • Journal of the Korea Convergence Society
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    • v.13 no.3
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    • pp.217-225
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    • 2022
  • We analyzed efficiency and productivity of the Indian non-life insurance market affected by the COVID-19 pandemic from 2020. Using data envelopment analysis(DEA), we examined non-life insurance companies selling health insurance products in India from FY2013 to FY2019. We found the followings. First, average efficiency of the entire non-life insurance industry worsened in the beginning yet improved later. Second, analyzing the efficiency measures by group, we found that private insurance companies had the highest efficiency, followed by state-run insurance companies and pure health insurance companies. Third, average annual productivity growth rate of companies operating distance selling channels including telemarketing is higher than that of traditional face-to-face channels. During and after the COVID-19 pandemic, therefore, Indian non-life insurance companies should focus their resources and efforts on the development of distance selling channels when establishing business strategies. Besides, it would be interesting to extend our analysis to the post-coronavirus period and we leave this for future research.

Analysis of U.S. Port Efficiency Using Double-Bootstrapped DEA (이중 부트스트랩 DEA 활용한 미국항만 효율성 분석)

  • Lee, Yong Joo;Park, Hong-Gyun;Lee, Kwang-Bae
    • Journal of Korea Port Economic Association
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    • v.37 no.3
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    • pp.75-91
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    • 2021
  • Due to increased competition in supply side to reduce operational costs, port professionals have experienced extreme pressure, which demanded academicians to develop the model for efficient port operations from the industry perspective. Among many ports in the world, U.S. ports are our primary interest to analyze in our study for its high volume of cargoes transacted in the U.S. ports. We primarily employed DEA (Data Envelopment Analysis) technique to research the productivity of U.S. ports and applied the algorithm of double bootstrapped DEA proposed by Simar & Wilson (2007) to further investigate the driving forces of the performance of U.S. port operations. The external variables employed in our study comprise onDock Rail, Channel Depth, Location, Area, Acres, ForeignCargoRatio, and TEUChange, out of which onDock Rail, Acres, ForeignCargoRatio, and TEUChange were significant. In order to evaluate the effects of methodology selection, we conducted the same analysis applying the Censored model (Tobit) and contrasted the outcomes drawn from the two different techniques. Based on the findings from this work we proposed managerial implications and concluded.

Analysis of Efficiency of Major Information and Communication Infrastructure Analysis and Evaluation Methods Using DEA Model (DEA 모형을 이용한 주요정보통신기반시설 취약점 분석·평가의 효율성 분석)

  • Sun, Jong-wook;Lee, Kyung-ho
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.31 no.4
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    • pp.853-862
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    • 2021
  • Today, disturbance and paralysis of information and communication infrastructure by electronic infringement of national infrastructure is emerging as a threat. Accordingly, the government regularly implements the vulnerability analysis and evaluation system of major information and communication infrastructure to protect the information system and control system of major infrastructure, and invests increased human and material resources every year to efficiently operate it. However, despite the government's efforts, as infringement accidents and attempts targeting national infrastructure continue to occur, the government's resource input to prepare the information protection foundation has little effect on the information protection activity result calculation, making the evaluation system not efficient. The question arises that it is not. Therefore, in this study, we use the DEA model to review the efficient operation of the vulnerability analysis and evaluation system for major information and communications infrastructure, and suggest improvement measures to enhance the level of information protection based on the analyzed results.

Management Efficiency Analysis of Innovative Pharmaceutical Companies' Technological Innovation Activities (혁신형제약기업의 기술혁신활동에 대한 경영효율성 분석)

  • Lim, Hye Ryon;Min, Hyun-Ku
    • The Journal of the Korea Contents Association
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    • v.21 no.11
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    • pp.361-374
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    • 2021
  • The purpose of this study is to analyze the efficiency and productivity of technological innovation activities of companies certified as innovative pharmaceutical companies by the government to diagnose their competitiveness and derive measures to strengthen them. This study collected pharmaceutical input (R&D expenditures and number of employees) and output (sale, operating profit and patent) data between 2017 and 2019 for 38 innovative pharmaceutical companies. This study analyzed them using the data envelopment analysis (DEA) method, Tobit model and the Malmquist Productivity Index (MPI). First, the DEA result of the innovative pharmaceutical companies show that between the value of the CCR model of the scale efficiency and the value of the BCC model to diagnose the internal operation efficiency is differences. Second, efficiency does not differ between corporate characteristics. Third, Tobit model shows that number of patents held have positive effects on efficiency. Forth, overall MPI is 0.89. This can be interpreted as the rate of TECI decreased 3%p and TCI has increased 4%p. The results of this study can be used as decision-making data for response strategies to improve efficiency by identifying the cause of inefficiency and presenting target values.

Intelligent Data Governance for the Federated Integration of Air Quality Databases in the Railway Industry (철도 산업의 공기 질 데이터베이스 연합형 통합을 위한 지능형 데이터 거버넌스)

  • Minjeong, Kim;Jong-Un, Won;Sangchan, Park;Gayoung, Park
    • Journal of Korean Society for Quality Management
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    • v.50 no.4
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    • pp.811-830
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    • 2022
  • Purpose: In this paper, we will discuss 1) prioritizing databases to be integrated; 2) which data elements should be emphasized in federated database integration; and 3) the degree of efficiency in the integration. This paper aims to lay the groundwork for building data governance by presenting guidelines for database integration using metrics to identify and evaluate the capabilities of the UK's air quality databases. Methods: This paper intends to perform relative efficiency analysis using Data Envelope Analysis among the multi-criteria decision-making methods. In federated database integration, it is important to identify databases with high integration efficiency when prioritizing databases to be integrated. Results: The outcome of this paper aims not to present performance indicators for the implementation and evaluation of data governance, but rather to discuss what criteria should be used when performing 'federated integration'. Using Data Envelope Analysis in the process of implementing intelligent data governance, authors will establish and present practical strategies to discover databases with high integration efficiency. Conclusion: Through this study, it was possible to establish internal guidelines from an integrated point of view of data governance. The flexiblity of the federated database integration under the practice of the data governance, makes it possible to integrate databases quickly, easily, and effectively. By utilizing the guidelines presented in this study, authors anticipate that the process of integrating multiple databases, including the air quality databases, will evolve into the intelligent data governance based on the federated database integration when establishing the data governance practice in the railway industry.

An Analysis of the Management Efficiency for the Rice seeding Farmer in China Using DEA Model (DEA를 활용한 중국 벼 직파농가의 경영효율성 분석)

  • Wang, Xiao-Feng;Yu, Chan-Ju
    • Korean Journal of Organic Agriculture
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    • v.30 no.3
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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.

A DEA Analysis of the Effect of High Efficient Pitchers on the Team's Advance to the Post Season of the Korean Baseball League (한국프로야구에서 효율성 높은 투수가 팀의 포스트 시즌 진출에 미치는 영향: DEA 활용 분석)

  • Kim, Jae-Hong;Hwang, Seung-June
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.45 no.2
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    • pp.30-36
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    • 2022
  • This study analyzed the relationship between efficient pitchers and teams advancing to the postseason in Korean professional baseball through DEA. A total of 1,133 pitchers who threw more than one inning from the 2014 season to the 2018 season were selected for this study. For DEA analysis, input variables were selected as annual salary and inning output variables as Wins, Saves, and Holds and the number of efficient pitchers for each season was classified using the input-oriented BCC model. After that, it was divided into two groups based on joining the postseason or not, and the number of efficient pitchers was compared through a prop test. As a result of the analysis, the groups that advanced to the postseason in the rest of the season except for the 2014 and 2017 seasons had more efficient pitchers. Considering that the 2014 season recorded the highest WAR (Wins Above Replacement) at 183.56 compared to other seasons, most pitchers threw well, and in the 2017 season, they made more mistakes in pitching than in other seasons, but they performed well in batters. The results of this study have expanded the research field using efficiency analysis in professional baseball and can be used as useful data for practical research.

Analysis of Efficiency and Productivity for Major Korean Seaports using PCA-DEA model (PCA-DEA 모델을 이용한 국내 주요항만의 효율성과 생산성 분석에 관한 연구)

  • Pham, Thi Quynh Mai;Kim, Hwayoung
    • Journal of Korea Port Economic Association
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    • v.38 no.2
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    • pp.123-138
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    • 2022
  • Korea has been huge investments in its port system, annually upgrading its infrastructure to turn the ports into Asian hub port. However, while Busan port is ranked fifth globally for container throughput, Other Korean ports are ranked much lower. This article applies Data Envelopment Analysis (DEA) and Malmquist Productivity Index (MPI) to evaluate selected major Korean seaports' operational efficiency and productivity from 2010 to 2018. It further integrates Principal Component Analysis (PCA) into DEA, with the PCA-DEA combined model strengthening the basic DEA results, as the discriminatory power weakens when the variable number exceeds the number of Decision Making Units(DMU). Meanwhile, MPI is applied to measure the seaports' productivity over the years. The analyses generate efficiency and productivity rankings for Korean seaports. The results show that except for Gwangyang and Ulsan port, none of the selected seaports is currently efficient enough in their operations. The study also indicates that technological progress has led to impactful changes in the productivity of Korean seaports.