• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.33-48
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• 2010

The purpose of this study is to empirically analyze the productivity change of the 10 Single PPM Certification Company in the 3 Industry(Electronics, Motor-Parts, Machines). In this study, Productivity change over the time in Korean small and medium sized firms in the 3 industries by the bootstrapped Malmquist Productivity Index(MPI). The traditional Malmquist Productivity Index(MPI) and Data Envelopment they could lead to wrong evaluations of the efficiency and productivity scores. In this paper, DEA and a MPI are combined with a bootstrap method in order to provide statistical inferences that analyze the performance of the Single PPM Certification Company. The data cover the period between 2004 and 2007. The result of this paper reveals : 1) The electronic industries(Motor-Parts, Machines). 2) average productivity Progress of the 7DMU(Electronics), 1DMU(Motor-Parts) and none(Machines).

• Journal of Korea Port Economic Association
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• v.32 no.3
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• pp.1-20
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• 2016

The objective of this study was to select world top 20 major container terminals that belong to Korea and China as comparison units to analyze their efficiency and productivity trend. Super Efficiency Data Envelopment Analysis(SE-DEA) and Malmquist Productivity Index(MPI) models were applied to this study. Compared with previous studies, we narrowed down the scope of the comparison units to terminals and conducted more detailed analysis to present more meaningful implications to the actual operation. The different result from existing studies, SE-DEA analysis implied that the major terminals of Busan New Port showed similar efficiency and productivity with China's terminals. In MPI analysis, the average index of Korean and China's terminals is 1.051 and 1.049. The analysis indicates that the productivity was improved 5.1% and 4.9% annually. From 2012 to 2015, the average terminal TCI index of South Korea and China were 1.032 and 1.0318-the main factor which influences MPI. This means improving productivity mainly rely on investment in new equipment and technology upgrades rather than improve operational efficiency over the past few years. Future management decisions should consider more aggressive marketing to increase the volume and improve operational efficiency to enhance productivity. Further research should apply the overall efficiency of the methodology considering the financial diversification, terminal capacity, service levels, and other factors.

• Industry Promotion Research
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• v.9 no.4
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• pp.121-133
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• 2024

This study aimed to evaluate the R&D efficiency of Daejeon Metropolitan City's regional industries and to derive policy implications for enhancing the competitiveness of regional industries. To achieve this, Data Envelopment Analysis (DEA) and Malmquist Productivity Index (MPI) were employed to analyze the efficiency and productivity changes of 16 Decision-Making Units (DMUs) in Daejeon's key industries from 2013 to 2022. The DEA analysis revealed that certain industry groups, such as the Research Industry (2013-2014), Bio Industry (2013-2014), and Metal Industry (2015-2017), demonstrated high efficiency by optimizing resource utilization. These industries were found to effectively maximize outputs by efficiently using resources in their R&D activities. On the other hand, some industries, such as the Knowledge Industry (2013-2014) and Wireless Communication Industry (2015-2017), recorded relatively low efficiency, indicating the need for improvements in resource utilization and operational strategies. The Scale Efficiency (SE) analysis showed that some industries were not operating at an optimal scale. Furthermore, the MPI analysis, which evaluated productivity changes over time, confirmed that technological progress and changes in technical efficiency significantly impacted industry-specific productivity. Efficiency changes over time were recorded as 70.96% (13-'14), 70.317% (15-'17), 68.59% (18-'20), and 76.57% ('21-'22), with a 28.38% improvement potential over ten years.

• Journal of Korean Society for Quality Management
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• v.38 no.2
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• pp.261-275
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• 2010

The purpose of this study is to empirically analyze the productivity change of the 10 Single PPM Certification Company in the 3 Industry(Electronics, Motor-Parts, Machines). In this study, Productivity change over the time in Korean small and medium sized firms in the 3 industries by the bootstrapped Malmquist Productivity Index(MPI). The traditional Malmquist Productivity Index(MPI) and Data Envelopment Analysis(DEA) Models have not only bias but also lack statistical confidence intervals. they could lead to wrong evaluations of the efficiency and productivity scores. In this paper, DEA and a MPI are combined with a bootstrap method in order to provide statistical inferences that analyze the performance of the Single PPM Certification Company. The data cover the period between 2004 and 2007. The result of this paper reveals : 1) The Electronics Industry had productivity effect of 17%, but there was not direct effect for other Industries(Motor-Parts, Machines). 2) average productivity Progress of the 7DMU(Electronics), 1DMU(Motor-Parts) and none(Machines).

• Journal of Navigation and Port Research
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• v.44 no.4
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• pp.338-346
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• 2020

In this study, we first measured the Malmquist productivity index by DEA among the Korean ocean carriers. Second, it was intended to present measures to improve productivity by identifying the influence and discriminating power between productivity and the major financial ratios (profitability, financial stability, liquidity, efficiency and value-added productivity). Compared to 2017, there are 11 more shipping carriers with decline in productivity (MPI) than those with an increase in 2018. The increase in productivity is attributed to an increase in the Technology Change Index (TCI) affected by the external environment. There is strong significant correlation between the productivity (MPI) and the management efficiency (CRS). Additionally, the TECI (TECHI) index of the technological efficiency changes from internal factors of the shipping carrier is significantly higher than that of the efficient shipping carrier. This is because of the differences in scale efficiency. The ratio of charter cost/sales is also lower than that of the carriers with high productivity (0.17) and with low productivity (0.21). With 7% of the shipping carrier with MPI>1, only 1% of MPI <1 is found to have a significant impact on its productivity.

• 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.

• 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.

• The Korean Journal of Health Service Management
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• v.10 no.2
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• pp.15-23
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• 2016

Objectives : The purpose of this study was to evaluate the productivity changes of 18 public health centers in Gangwon-do from 2006 to 2013 using the Malmquist Productivity Index(MPI). Methods : Data were collected from Statistics Korea from 2006 to 2013. The input variables were the numbers of medical, nursing and administrative personnels. The output variables were the performances of health promotion programs. Along with the traditional input-oriented DEA analysis, the MPI was calculated. Results : First, among the 18 public health centers, the productivity index of 14 public health centers was increased. Second, the annual productivity showed a 6% increase. Third, the productivity improvements were mainly caused by Scale Efficiency Change. Conclusions : Improving the productivity of public health centers requires the support and external policies of the national and local government. Internally, public health centers need to maintain scale optimization of the center. Additionally, efforts should be made to effectively use limited resources.

• Ocean and Polar Research
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• v.32 no.4
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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.

• The Korean Journal of Financial Management
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• v.23 no.2
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• pp.57-83
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• 2006

The purpose of this paper is to analyze the efficiency and productivity change and inefficiency cause of the korean non-life insurance companies of the before($1993{\sim}1996$) and after($1998{\sim}2004$) of IMF. we use DEA (Data Envelopment Analysis) model to measure company efficiency and MPI(Malmquist productivity indices) to measure company productivity change and Tobit regression to analyze inefficiency cause. we utilize ten non-life insurance companies in korea and the time-series data for eleven from 1993 to 2004 except 1997. The empirical results show the following findings. First, total cost efficiency shows that the after of IMF decrease of 3.7% over the before of IMF and MPI change indicates that the after of IMF increase 7.7% over the before IMF. Second, the results of Tobit regression to analysis the cause of inefficiency show that total cost efficiency is positively related invested assets, acquisition expenses ratio, collection expenses ratio and is negatively related solicitors ratio, personnel expenses ratio, land & buildings expenses ratio, loss ratio, net operating expenses ratio. Especially inefficiency of small-to-mid sized companies is main cause of total cost efficiency of non-life insurance companies in korea. Small-to-mid sized companies endeavored various aspects of business strategies.