• The Korean Journal of Health Service Management
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• v.7 no.3
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• pp.225-235
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• 2013

This study purposed to analyze the productivity of regional medical capacity in attracting medical tourist between 2009 and 2011. Data envelopment analysis (DEA) and Malmquist productivity index (MPI) were applied to test the productivity and changes in study periods. The DEA model included a number of doctors, nurses, and beds as input factors, and a number of inpatient and outpatient, and hospital income as output factors. The result of the study were as follow. Jeju had efficiency value of 1 for three years. Seoul, Busan, Daegu, Daejeon, Ulsan, Gyeonggi, Gangwon, Jeonnam, Gyeongbuk, and Gyeongnam showed an increasing trend of efficiency value over three years. Seoul had the efficiency value, 1, in 2011. But, Incheon, Gwangju showed decreasing efficiency score during the study period. MPI showed overall productivity decrease during the period. Further studies will be needed by collecting more time-series data.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.571-580
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• 2014

Korea's water supply efficiency is low, due to weak industrial structure, such as small scale, regional disparities in the management and services, unreasonable problem in a use and management of interregional water resources. This study investigated changes in the productivity of Jeollabuk-do local water supply service by using analysis of efficiency by data envelopment analysis and Malmquist Index Analysis. As a result, 6 office is showed that the value of scale efficiency is 1 and productivity index per gun in mainly seemed below average. Therefore these offices should strive to increase their productivity. This study is differentiated from earlier studies in the aspect of measuring change of productivity by not only DEA but also Malmquist productivity analysis. Therefore it will contribute to increase productivity of water supply in Jeollabuk-do.

• Journal of the Korean Society for Railway
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• v.19 no.3
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• pp.397-407
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• 2016

This study analyzed the efficiency change and the factors affecting productivity change for the six railway operation corporations that are local public enterprises; study was performed with the DEA-CCR Model and Malmquist Productivity Index, using data collected from 2010 to 2014. Since it was not feasible to collect data on the operating expenses and the number of employees of each of the lines, the efficiencies of each operation corporation were analyzed by integrating the operation corporations, and the Malmquist Productivity Index was used to investigate the trend of the periodical productivity change. Average efficiency for urban railway operation corporations was found to be higher in the case of the bigger corporations. In 2014, the Seoul Metro and the Daejeon Metropolitan Express Transit Corporations were analyzed and found to be the most efficient operation corporations. The Malmquist Productivity Index was used to determine the periodical change; the average MPI was 1.06, with a continuous increase of productivity. The analysis showed that changes of technology were generally more obvious than change of technology efficiency for all six operation corporations.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.30
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• pp.81-87
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• 1994

Productivity relates output to input and also integrates performance aspects of quality, efficiency and effectiveness. Productivity improvement are associated with efficiency and effectiveness, productivity index involved quality and flexibility, integrated productivity measurement system, and other factors. This study focused on the productivity improvement that involved the opportunity costs such as qualify costs and flexibility effects.

• Journal of the Korean Society for Railway
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• v.13 no.4
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• pp.462-467
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• 2010

This paper uses MPI (Malmquist Production Index) method to provide basic information and policy direction derived to improve the productivity. This can identify whether or not the railroad service have excellent services, if there are structural problem, in which sector is experiencing a degree of productivity, in which sector should be set targets to some degree. According to the result, the productivity of Korea railway lines is measured 1.1 both publicity and profitability aspects. Changes in production technology were the most important causes. Strategic planning should consider to increase the productivity such as modernization of facilities and equipment, cost savings, and increase in productivity of employee and rail cars.

• Korea Trade Review
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• v.41 no.4
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• pp.61-90
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• 2016

This study aims to identify the sources of productivity change in export manufacturing firms. After estimating the Malmquist productivity index, a panel regression was used to calculate the source of productivity change. Upon conducting a literature review of this field, six variables were selected as explanatory variables. The results of an analysis of 355 export manufacturing firms operating from 2009 through 2015 are as follows: First, both innovation activity and total assets had a positive impact on productivity change. However, employment cost intensity, equity ratio, and current ratio had a negative impact on productivity change in export manufacturing firms. Second, innovation activity and intangible assets had a positive impact on productivity change, but employment cost intensity, selling expense intensity, and equity ratio had a negative impact on productivity change in large export manufacturing firms. Third, innovation activity had a positive impact on productivity change, but employment cost intensity and equity ratio had a negative impact on productivity change in small and medium export manufacturing firms. Fourth, intangible assets had a positive impact on productivity change, but employment cost intensity, selling expense intensity, and current ratio had a negative impact on productivity change in export manufacturing firms listed on the Korea Composite Stock Price Index. Fifth, innovation activity and total assets had a positive impact on productivity change, but employment cost intensity and equity ratio had a negative impact on productivity change in manufacturing firms listed on the Korean Securities Dealers Automated Quotations. The managerial implications of this study are also discussed.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.468-472
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• 2007

There are many measuring tools to evaluate individual's scientific productivity using scientific articles based on bibliometrics. Especially succeeding discussions are accomplished at an trial for individual's scientific productivity after Hirsch's 2005 proposal using h-index. And there are many succeeding discussions and applications to evaluate journals, articles and qualitative level of researchers using h-index, g-index. But these indices have a same indices without regard to first author or other co-author if a article has a same number of citations. This research aims to propose K-index integrated between these indices and author rank.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.34-36
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• 2003

In boreal conifers in China's Northeast area, maximum latewood density (MXD) of tree-ring varies in response to growing season temperature. Forest net productivity can be estimated using the Normalized-difference Vegetation Index (NDVI) calculated from satellite sensor data. MXD from the Mohe site in this area was compared with estimates of NPP for 1982-1999 produced by the NDVI model, which was established based on the relationship of leaf area index (LAI) and NDVI. The result shows that the MXD series correlated significantly with the NDVI model estimates series, suggesting that MXD appeared to be an appropriate index for productivity or canopy growth in region where forest productivity is strongly temperature-related.

• Journal of the Korean Operations Research and Management Science Society
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• v.37 no.4
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• pp.125-138
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• 2012

Health care that is considered to be one of the major factors for the quality of life is nowadays receiving a great deal of attention, and thus there is a growing need in Korea to identify the efficiency of national medical service and enhance the competitiveness. Although there exist studies on the medical service efficiency about general hospitals and local hospitals, they mostly deal with the efficiency problems from a domestic and regional perspective. In response, this paper analyzes the competitive efficiency of national medical service with respect to 16 OECD countries, by exploiting Data Envelopment Analysis (DEA) and Malmquist Productivity Index (MPI). Building on the DEA and MPI analysis results, this paper identifies the competitive position of Korean national medical service and suggests implications for the medical service improvement.

• Journal of Korea Port Economic Association
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• v.36 no.1
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• pp.183-196
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• 2020

Until now, there have been few studies analyzing the efficiency of the Port of Mokpo and comparing it with other seaports in the country to identify the future direction of development for the port. In this paper, we use the data envelopment analysis (DEA) model in combination with the Malmquist Productivity Index (MPI) to measure the efficiency and productivity of major ports in Korea, focusing on the Port of Mokpo. First, the study identifies which ports are efficient or inefficient based on technical or operational scale. Second, by using the MPI to overcome the shortfalls of the DEA model, the study can compare a port's performance across the years and evaluate the productivity of a port during the research period. Moreover, this study also applies fuzzy C-means (FCM) clustering to classify port groups based on the size of their infrastructure and their efficiency scores. Finally, it is possible to find ways to enhance the efficiency and future direction of development of the Port of Mokpo.