• Title/Summary/Keyword: DEA-Malmquist 모델

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Research on Eco-efficiently Evaluation of China Based on DEA-Malmquist Index (DEA-Malmquist 지수를 이용한 중국 환경효율에 관한 평가 연구)

  • YULIN, LU;YAN, HE
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.375-381
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    • 2022
  • The DEA-BCC model. And the Malmquist index have been used, from static and dynamic perspectives, to measure the eco-efficiency of 30 cities and provinces in China from 2011 to 2020. The results shows that: the average static eco-efficiency of 30 cities and provinces in China is 0.643. Differences exists all over China. While Shanghai and Beijing are ecologically efficient, other 28 cities and provinces are faced with different extents of inefficiency. There are also differences among regions, which generally show the spatial distribution pattern with high efficiency in the eastern regions while low in the western regions. The Malmquist index of eco-efficiency in total 30 cities and provinces shows a healthy growth trend, and the technological progress. Acts as its main driving force. Therefore, eastern regions should enhance the. radiation capacity, strengthen the synergy among regions, give full play to. The advantages of each regions. It is sensible to improve the eco-efficiency by means of optimizing the industrial structure, enhancing the technological level and improving eco-efficiency of China and realizing green development.

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.

Research on Efficiency of Western China's Universities under the "Double First-Class" Initiative ("더블 퍼스트 클래스"를 통한 중국 서부 대학의 연구 효율성에 관한 연구)

  • Youming Li;Jae-Yeon Sim
    • Industry Promotion Research
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    • v.8 no.4
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    • pp.257-266
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    • 2023
  • The research focuses on the provincial universities in the western region of China and investigates the research level of 12 provincial universities from 2017 to 2021, considering both static efficiency and dynamic efficiency. The static efficiency is examined using Data Envelopment Analysis (DEA), while the dynamic efficiency is analyzed using the Malmquist model. The analysis results are as follows: the scientific research efficiency of universities in the 12 western provinces is generally not high. Against the background of the "Double First-Class" construction, the overall efficiency of scientific research in universities is showing an increasing trend. The main reason for the increase in scientific research efficiency is the increase in scale efficiency in recent years. The total factor productivity (TFP) of research activities is influenced by the technology progress index and exhibits a pattern of initial increase, followed by a decline, and then an increase again. Research conclusion: Western colleges and universities should reasonably allocate resources for scientific research activities, perfect scientific research mechanisms, improve management standards, promote scientific innovation and corresponding achievements, and ultimately raise the scientific and technological level in western China.

A Study on the Economic Efficiency of Tourism Industry in China's Bohai Rim Region Using DEA Model (DEA 모델을 이용한 중국 환 발해만 지역 관광산업의 경제효율성에 관한 연구)

  • Li Ting;Jae Yeon Sim
    • Industry Promotion Research
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    • v.8 no.4
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    • pp.267-276
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    • 2023
  • Based on the tourism input-output data of five provinces and cities in China's Bohai Rim region from 2015~2021, this study analyzes the efficiency of regional tourism using DEA-BCC and DEA-Malmquist index, as well as its contribution to regional economic efficiency, and identifies factors influencing the comprehensive efficiency. The research results indicate that the comprehensive efficiency of the tourism industry in the China Bohai Sea region has reached an optimal level of 88.9%, but there is still room for improvement, with overall fluctuations. The overall productivity of the tourism industry exhibits a "U"-shaped fluctuating pattern, with growth mainly driven by technological advancements. Due to the impact of the COVID-19 pandemic, the region experienced a nearly 50% decrease in total factor productivity in 2019~2020. However, in 2021, with the implementation of various government stimulus policies, the tourism efficiency rapidly recovered to 80% of pre-pandemic levels. In terms of the impact of the tourism industry on the regional economy in the China Bohai Sea region, Hebei Province stands out as a significant contributor. Based on the aforementioned research findings, the following recommendations are proposed in three aspects: optimizing the supply structure, increasing innovation investment, and strengthening internal collaboration. These recommendations provide valuable insights for enhancing regional tourism efficiency and promoting regional synergy.

Developing a Method for Diagnosing the Banking Industry (은행산업 진단방법론 개발)

  • Park, Kyung-Bo;Hong, Jong-Yi
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.1
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    • pp.255-265
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    • 2015
  • The globalization of the banking industry has highlighted the importance of the internal stability of the banks. For internal stability, the efficiency and productivity of the bank becomes more important, and the bank must be improved. To improve the efficiency and productivity, a methodology for analyzing the current state of the bank's needs was made based on the BCC of DEA and the Malmquist productivity index. This model was developed as a diagnostic method that can analyze the efficiency and productivity of the bank. As a result of the analysis, the position of the bank and the position of the model studied were similar. The BCC-Malmquist model can be applied to the other areas and provide a management strategy.

A Study on Port Efficiency in the Russian Arctic as a Key Factor for Trade Growth in the Northern Sea Route (북극항로 무역 성장을 위한 러시아 북극의 항만 효율화에 관한 연구)

  • Ilana Zakharova;Hyang-Sook Lee
    • Korea Trade Review
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    • v.48 no.4
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    • pp.121-148
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    • 2023
  • The rapid melting of Arctic sea ice has increased interest in the Northern Sea Route (NSR) as a viable alternative trade route between Europe and Asia. While extensive research has examined its competitiveness in terms of technical feasibility, safety, profitability, and environmental impact, the topic of the NSR ports remains relatively underrepresented in the literature. Hence, this study aims to contribute to the existing research by assessing the efficiency of 17 NSR ports to gain insights into their operations and identify areas for improvement using models of Data Envelopment Analysis(DEA). The obtained results show that efficient ports mainly belong to the western NSR region, with ports like Murmansk and Varandei consistently demonstrating high efficiency and constant returns to scale. Several ports, such as Onega, Arkhangelsk, Naryan-Mar, and Khatanga, showed inefficiencies in the utilization of berths and quay lengths. The findings not only contribute to academic knowledge but also offer practical implications for NSR port authorities, assisting them in making well-informed decisions regarding infrastructure development plans.

The Change of Tourism Industry Efficiency in Heilongjiang Province under the Background of Northeast Revitalization Strategy (동북진흥전략 배경하에서 흑룡강성 관광산업의 효율성 변화)

  • Lei Wang;Gi young Chung
    • Industry Promotion Research
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    • v.9 no.3
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    • pp.295-309
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    • 2024
  • With the implementation of the Northeast Revitalization Strategy, the tourism industry in Heilongjiang Province had an increasingly greater impact on regional economic development. Based on the tourism panel data of Heilongjiang Province from 2005 to 2021, this paper used DEA-BCC and Malmquist Index to analyze the static and dynamic changes of the tourism industry.The results of the study were as follows: (1) Static: The OE value reached strong DEA effectiveness in 2010, 2013, and 2019, indicated that tourism resources had been fully utilized. The SE value changed dramatically between 0.354 and 1, and the PTE value approached 1. OE was mainly affected by SE changes. (2) Dynamic: The total factor productivity (TFP) was overall greater than 1 and grew at an average annual rate of 13.8%. The variation in TFP was primarily influenced by the index of technological progress, indicated that the tourism industry in Heilongjiang Province made full use of technology for resource development, with a relatively high level of development efficiency. Therefore, the future focus of Heilongjiang Province's tourism industry will be on adjustments in industrial scale, technological innovation, and policy optimization.

Productivity Change and Relative Efficiency of Professional Sport Teams (프로구단의 상대적 효율성 및 생산성 변화)

  • Kang, Ho-Jung
    • The Journal of the Korea Contents Association
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    • v.10 no.10
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    • pp.456-463
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    • 2010
  • This study measured the relative efficiency and productivity change of the Korean professional sport teams using DEA model and Malmquist Index for 2006-2009. The main results of this study can be summarized as follows. First, in case of efficiency of CCR for 2006-2009, the number of efficient professional sport teams(CCR value is one) are two(Daejeon Citizen, Incheon United), three(Daejeon Citizen, Incheon United, FC Seoul), two(Daejeon Citizen, Incheon United), three(Kyungnam FC, Incheon United, FC Seoul) respectively. Second, Malmquist Index representing productivity change for 2006-2009 are 1.035, 0.9658, 1.5331 for Kyungnam FC, 1.2514, 0.8948, 0.9056 for Daegu FC, 1.1768, 0.8620, 0.9722 for Daejeon Citizen, 0.9368, 1.2609, 0.7714 for Incheon United, 1.0000, 1.0000, 1.0000 for FC Seoul, respectively. This result will be used by inefficient professional sport teams to improve inefficiency.