• Asia pacific journal of information systems
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• v.26 no.4
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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.

• Proceedings of the Safety Management and Science Conference
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• 2009.04a
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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.

• The Journal of Fisheries Business Administration
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• v.43 no.2
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• pp.95-106
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• 2012

This study analyzed the changes in productivity growth of 291 regional fisheries cooperatives area from 2001 to 2010 selected as target. The productivity growth analysis of operating offices calculates Global-Malmquist productivity index. Input variables are number of the persons and the nettable area, output variables are deposit, loans and earnings. To improve the homogeneity of industry, the operating conditions were considered. Global Malmquist index of Operating offices was reduced between 2001~2010. The cause of increase and decrease of productivity are divided by efficiency change(EC) and best-practice change(BPC). Operating offices with increased productivity existed between 2001~2002 and between 2002~2003 and between 2006~2007. There were operating offices with increased productivity by EC. Global Malmquist index of Operating offices with locations was highest relatively in metropolitan. Operating offices with increased productivity existed between 2003~2004 and between 2007~2008 and between 2008~2009 in all locations. There were operating offices with decreased productivity by BPC.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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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.

• Journal of Technology Innovation
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• v.11 no.2
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• pp.151-173
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• 2003

This paper analyses the efficiency and productivity of R&D system across time (1991${\sim}$2000) and 16 OECD countries using multi-output and multi-input non-parametric frontier methods such as DEA (data envelopement analysis) and Malmquist productivity indexes. Malmquist productivity indexes are decomposed into two components measures, namely technical change and efficiency change. To calculate R&D efficiency and productivity, we used R&D stock and the number or researchers as R&D input proxies and the number of adjusted SCI papers and U.S. patent applications as R&D output proxies. Empirical result shows that Switzerland, Canada, U.S., Australia's R&D efficiencies are the highest and Korea's R&D productivity growth is the highest in the sample for the period. Technical efficiency growth was a more important source of productivity growth than technological innovation.

• Environmental and Resource Economics Review
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• v.24 no.4
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• pp.727-745
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• 2015

This paper analyzes the firms' optimization behavior in response to rising demand for non-priced renewable energy in the manufacturing industries by using an input distance function. The annual estimates of the shadow price of renewable energy is derived and the trend of its shadow price over time is analyzed. The degree of substitution of renewable energy for fossil-fuels is examined. The input-based Malmquist productivity index, defined as a composite of the technical efficiency and technical change measures, is measured. The contribution of renewable energy input growth to the Malmquist index is analyzed. Empirical results indicate that the shadow price of renewable energy declined at an average annual rate of 17% over the period 1992-2012. Substitutability between renewable energy and fossil-fuels was limited. On average, a 1% increase in renewable energy would decrease Malmquist index by 0.04% per year.

• International Commerce and Information Review
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• v.14 no.2
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• pp.349-367
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• 2012

Recently, the global paradigm on the economic structure has been changed from the price-oriented borderless competition toward the sustainable quality movement due to the ever-increasing global warming and environmental issues. Since Korea hosted the global 20 summit in 2010, it has promoted the green growth policies and asked for the other countries to participate in. Unfortunately, it is not easy to figure out the green growth or green productivity because the economic performance has a side effect of environmental pollution such as CO2 emission. This paper aims to analyzes the methodological comparison for all the related issues with green productivity and suggests the new paradigm of global Malmquist-Lundberger index (GML) as the most flexible field and performance-oriented criteria to measure the green productivity.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.66
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• pp.263-284
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• 2015

This study has analyzed the efficiency of 10 leading global shipping companies listed in the New York Stock Exchange from2010 to 2014 in order to find the changes of the productivity of shipping industry. The paper observed the Malmquist Productivity Index by using Efficiency and Productivity Analysis System Version 1.0. The data used in this study is the Guggenheim Shipping ETF mainly including the companies of shipping, management, and shipbuilding areas. The results from this statistical analysis indicate that the 10 selected companies have experienced a severely negative growth in 2010. Nevertheless, these companies have accomplished a significant growth of productivity. In particular, the energy transport companies operating Tanker and LNG ships carried out remarkable growth. The reason why the productivity of liner shipping companies did not show the improvement of productivity for five years was attributed to the fact that the P3(Project 3) or M2(Maersk-MSC) including Maersk, MSC, and CMA-CGM were excluded in this research because of the difficulty of attaining reliable source data. The method of this study could be extended to Korean shipping corporations and other global airlines to investigate a changes of certain industries.

• The Korean Journal of Health Service Management
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• v.9 no.3
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• pp.43-55
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• 2015

Objectives : This study analyzed the managerial efficiency of hospitals and identified the productivity trends for three years. Methods : Data were collected from 44 tertiary hospitals and 32 university hospitals from 2009 to 2011. Efficiency scores and productivity trends were evaluated with the DEA (Data Envelopment Analysis) method. The input variables were the numbers of beds, doctors, nurses, and health personnel, and the medical costs. The output variables were the numbers of outpatients, and inpatients, and the medical revenues. Along with the traditional input-oriented DEA analysis, the Malmquist Productivity Index(MPI) was calculated. Results : First, the mean values of the study variables showed gradual increases in all the variables for all the study years. Second, technical efficiency scores varied depending on the study year. Third, MPI decreased from 2009 to 2010 (MPI=0.986), and then increased from 2010 to 2011(MPI=1.011). The contributions of the Efficiency Change Index and Technical Change Index on the MPI varied depending on the study year. Conclusions : This study provides information to hospital managers about changes in hospital performances. External environments had more influence on hospital performances, and hospital managers will need to manage these influences from factors surrounding the hospitals.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.378-381
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• 2009

This paper investigates the productivity growth in Korean railway transport. The productivity growth is calculated by a process of measuring of pure efficiency change index(PECI), scale efficiency change index(SECI), and technical change index(TCI), using Data envelopment analysis (DEA) method. The data cover the period 1999$\sim$2006; 1999$\sim$2003 are the pre-structural reform years and the post-structural reform years are 2004$\sim$2006. The framework for the analysis is Malmquist Productivity Index (MPI) of the to investigate the impacts of structural reform on productivity growth, respectively. The inputs considered are the length of operating line, the number of staff, the number of coach and wagon, and the outputs are the trains movement of passenger and freight, and the traffic of passenger and freight. Results indicate that Korean railway experienced a annual productivity growth of approx. 3% after the structural reform.