• 수산경영론집
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• 제41권3호
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• pp.21-44
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• 2010

The paper estimates changes in total factor productivity and technical efficiency change index and technical change index using Malmquist productivity index(MPI) in fisheries wholesale products over the time period of 2006 through 2008. The model considers a number of employees and operating costs as input factors, and sales and EBIT(earnings before tax and interest) as output factors. The results indicate that, between 2006 and 2007, there is in general technical progress in which TCI(Technical Change Index) indicates 2.7994 in the sale scale of 50 million won through 100 million won, while there are no efficiency in TECI(Technical Efficiency Change Index), PECI(Pure Efficiency Change Index) and SECI(Scale Efficiency Change Index) which are estimated to be around 1. Between 2007 and 2008 technical efficiency and technical progress are generally declined, compared to those of 2006 and 2007. Wilcoxon's rank-sum test shows that there are statistically significant difference of TCI and MPI between two periods at the level of 5%, while there are statistically significant difference of TECI, PECI and SECI between two periods at the level of 5%.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2009년도 춘계학술대회
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• pp.337-350
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• 2009

Using the Malmquist productivity index, this paper compares the productivity of Korean manufacturing industries from 1999 to 2006. The malmquist productivity index has more advantages than previous methods such as solow model, endogenous growth theory. The malmquist productivity index can be decomposed productivity into two parts. The first part is an index of the technical efficiency change. This index has high value when the elements of production is used more efficiently. The second part is an index of technical change. This index has high value if the advent of new technology and process innovation occur.

• 한국항해항만학회지
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• 제46권6호
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• pp.547-553
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• 2022

본연구는 2019~2021년 14개 국적 외항 컨테이너 선사의 생산성 변화를 MPI(Malmquist Productivity Index)를 통해 분석하였다. 분석 기간 14개 선사의 MPI는 연평균 38.4% 증가한 것으로 분석되었다. MPI 변화 원인을 살펴보면, TCI(Technical Change Index)는 연평균 58.3% 증가하였으나 TECI(Technical Efficiency Change Index)는 연평균 12.6% 감소한 것으로 나타났다. 이는 선박의 효율성 또는 선대 규모 확대 효과보다는 운임상승에 의한 생산성 향상이 주원인임을 의미한다. 원양 해운선사인 HMM과 SM상선은 타 선사(아시아 역내 선사)와 달리 TECI와 TCI가 모두 생산성 향상에 긍정적인 영향을 미친 것으로 나타났다. 반면, 아시아 역내 선사의 경우 TCI(i.e. 운임상승) 값의 증가에 의한 생산성 향상이며, TECI값 중 SECI(Scale Effieicency Change Index) 값이 낮아 이들 선사는 선대 규모(규모의 경제) 변경에 따른 비용 절감 효과를 거의 누리지 못한 것으로 분석되었다.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.171-184
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• 2022

The purpose of this paper is output oriented, in order to maximize the output level of sustainable development efficiency of foreign trade in western China with limited input. This paper adopts the relevant input-output indicators of sustainable foreign trade development of 11 provinces and cities in western China from 2016 to 2020, and uses DEA model to measure their technical efficiency, pure technical efficiency and scale efficiency. Malmquist index was used to calculate the total factor productivity change index of each province in western China from 2016 to 2020. We found that, on the whole, the average values of technical efficiency, pure technical efficiency and scale efficiency of provinces and cities in western China from 2016 to 2020 are greater than 0.8, indicating that the western region has high technical efficiency, relatively high management and institutional level and high existing scale level. Scale efficiency is lower than pure technical efficiency on the whole, indicating that the current sustainable development efficiency of foreign trade in western China is mainly limited by its scale level. The technological progress index is higher than the technological efficiency change index, indicating that the total factor productivity of the sustainable development of foreign trade in western China is mainly driven by technological progress and more influenced by external factors. We think the conclusion of this study can provide important reference information for the sustainable development of foreign trade of provinces and cities in western China.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.1033-1039
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• 2020

Vietnam is conducting an export-led growth model and labour-intensive industries contributing majorly to the total export value. In the context of Industry 4.0, the labour-based industries are significantly affected; hence, enhancing productivity is the key measure to maintain these industries. The garment industry contributes significantly to the total export value of Vietnam. Based on meta-frontier framework, the approach of data envelopment analysis is used to measure technical efficiency of Vietnamese garment firms and the global Malmquist TFP index is utilised to identify productivity change and its components including efficiency, technology and technical gaps between different groups of firms. The data of Vietnamese garment firms from 2013 to 2018 collected from the Vietnam General Statistic Office is used in this study. The results show that: (i) The total factor productivity of Vietnamese garment firms growth, technical progress is the main contributor; (ii) The private garment sector is the leading group; (iii) There is a large technological gap among Vietnamese garment sectors. The private and FDI garment firms have experienced a growth in all components of total factor productivity change. Meanwhile, technological progress change is the main reason to constrain the productivity growth of state-owned garment firms.

• Ocean and Polar Research
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• 제32권4호
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• pp.387-396
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• 2010

This paper estimates changes in the total factor productivity and technical efficiency change index and the technical change index using the Malmquist productivity index (MPI) in fishery-processed wholesale products over the time period spanning 2006-2008. The model considers a number of employees and operating costs as input factors, and sales and EBIT (earnings before tax and interest) as output factors. The results demonstrate that, between 2006 and 2007, there has generally been no technical progress, although a small improvement in productivity was detected in the sales scale of 10 billion won-50 billion won. Between 2007 and 2008, there was technical progress in the majority of DMU, except within the range of 20 million won-10 billion won. Wilcoxon's rank-sum test, however, demonstrates no statistically significant differences in productivity between the two periods.

• 한국항만경제학회지
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• 제34권1호
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• pp.51-64
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• 2018

본 고는 Malmquist 생산성 지수를 이용하여 글로벌 금융위기 이전인 2001-2008년, 그 이후인 2008-2015년 두 기간 동안 조선 산업의 생산성변화를 기술효율성변화, 순효율성변화, 규모효율성변화, 기술변화로 구분하여 측정함과 동시에 두 기간 동안 생산성 변화를 비교하였다. 전반기(2001-2008년)에는 2.8%의 생산성 향상되었으며, 이는 기술효율성 보다는 기술진보에 기인된 것으로 나타났다. 후반기(2008-2015)에는 -3.4%의 생산성 하락으로 나타났다. 이는 글로벌 금융위기이후 세계경제의 침체로 인한 선박수주 물량의 감소, 중국 조선 산업의 부상 등으로 인해 기술효율성 저하, 기술퇴보 등에 기인된 것으로 나타났다. 두 기간 중 전반기 가 후반기보다 생산성이 높게 나타났다. 특히 두 기간 간에 이러한 차이는 기술변화에 의해 기인된 것으로, 즉, 기술 퇴보는 생산성 감소로 나타났으며, 통계적 검증을 통해서도 이를 입증할 수 있었다. 본 연구 결과에 의한 정책적 시사점으로는 정부 그리고 각 DMU들은 향후 생산성 증대를 위해, 글로벌 조선 산업의 환경변화에 대응하는 신기술개발 그리고 비효율적 요인을 제거하는 전략이 필요하다는 점을 제시하고 있다.

• 기술혁신학회지
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• 제4권3호
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• pp.369-382
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• 2001

In this research, the world top steel companies' technical changes were measured by the nonparametric Malmquist index. Steel industry's production frontier which was composed of multiple inputs and multiple outputs was defined by using real data of the companies from 1986 to 1998, and then the variability of technical progress(or regress) was analyzed during that period. The dynamics of individual steel companies\` technical changes, periodical technical changes, and each country's technical chanties were explained. A matrix which was based on technical chanties, technical efficiency changes, and scale efficiency changes was designed to assist to find out current position and In build up future strategies. This research results will be an valuable input to the early stage of formulating competitive strategy because the technical core capability is an important source of the each companies's competitiveness.

• 보건행정학회지
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• 제25권2호
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• pp.118-128
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• 2015

Background: We measured productivity changes of regional public hospitals using both global Malmquist productivity index-based on global production possibility set over all the periods-and the traditional Malmquist productivity index and analyzed the factors of productivity change. Methods: The data used in this study is two annual inputs and two annual outputs of 32 regional public hospitals in Korea from 2005 to 2009 and the results such as distances and Malmquist productivity index and global Malmquist productivity index are obtained by an R program written for this study. Results: The results can be summarized as follows. Firstly, technical efficiencies of regional public hospitals are affected largely by scale efficiency than pure technical efficiency. Second, productivity progressed and technological change has more significant influence on productivity advance over the period between 2005 and 2009. Third, the circularity problem of the traditional Malmquist index is confirmed, and so the global Malmquist index without this problem are valid for the analysis. Conclusion: Though this study also has some limitations with the data of regional public hospitals with a short time span, it is the first study of hospitals using global Malmquist productivity index and later it can be expanded to private hospitals and longer time periods.

• Asia pacific journal of information systems
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• 제26권4호
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• pp.542-560
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• 2016

This study determines whether or not firms can achieve high productivity growth through external technology acquisition. It also identifies the key factors affecting adopting firms' productivity growth by employing the Malmquist productivity index (MPI) methodology, which features computational ease, low data dependency, and decomposition of productivity growth into technical efficiency change and technical change. Results showed that the effects of productivity growth arising from technology transfer became stronger over time. Moreover, patent transfer guaranteed firms' productivity growth, but no evidence was found that factors such as age and size could increase productivity. Finally, cultural similarity could be another factor conditioning the effectiveness of technology transfer in the productivity of adopting firms.