• Journal of Korean Society of Transportation
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• v.22 no.6
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• pp.35-47
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• 2004

Using data envelopment analysis, this paper annually estimates Malmquist total factor productivity indices and decomposes them into productive efficiency change, technical change, and scale change components for three publicly-owned rail transit properties: the Seoul Subway Corporation(SSC), the Seoul Metropolitan Electrified Railways Sector of Korea National Railroad (SMESRS) and the Busan Urban Transit Authority (BUTA). The paper then conceptualizes that the property produces a single output(car-kilometers) using four inputs(labor, electricity, car and maintenance, and track) and uses unbalanced panel data consisted of annual observations on SSC, SMESRS and BUTA. The results show that the average annual growth rate of productivity of the three properties is 6.6 percent, which is 0.5 percent less than the average annual increasing rate of their labor price. They also show that the greatest part of the growth in productivity is explained by technical change and to a lesser degree by scale change and changes in productive efficiency though each of the three components contributes more than 20 percent to the growth in productivity, These results suggest that the three properties should base the increasing rate of their wages on the growth rate of their productivity and utilize existing technologies more efficiently prior to introducing new ones to raise their productivity, and that all the three components should be considered to evaluate their productivity more correctly.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2000.05a
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• pp.28-35
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• 2000

For the merit of a container in transportation and cargo handling the amount of container freight has been continuously on the increase. On the other hand container crane had got the bottle neck in cargo handling due to low productivity so that freight congestion had been often occurred at ports. in this paper A mathematical model for container crane system is represented a method for designing a fuzzy controller of container crane system for high productivity in cargo handling is presented. The fuzzy controller is compared with other optimal controller at the same condition. in the computer simulation the fuzzy controller obtained an excellent response to reference change better than the optimal controller. For disturbance such as a strong storm and parameter change due to change of cargo weight the result was also stable and robust than the optimal controller.

• International Area Studies Review
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• v.14 no.2
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• pp.43-60
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• 2010

This paper measures R&D efficiency and productivity changes of 24 nations including Korea, Japan and China by the non-parametric Malmquist productivity index. The principle findings of this study are as follows. First, R&D efficiency scores of Korea and Japan are 0.837 and 0.834 respectively. Meanwhile China shows 0.420, the worst performance among the selected countries. Second, Korea marked annual productivity increase of 25%, highest among the selected countries', for 2000-2005. R&D productivity in Japan and China, however, decreased 1.9% and 0.9% respectively. Third, annual rates of technology change and technical efficiency change in Japan are 0.6% and -2.5%. Therefore decrease of productivity in Japan is mainly due to technical inefficiency. In case of China, improvement of technical efficiency is the main contributor to productivity growth but technical progress has edged downward in the sample period. In Korea, with annual rate of technology change and technical efficiency change being 5.2% and 18.2% respectively, both efficiency improvement and technical progress has pulled the R&D productivity growth.

• Journal of Korean Institute of Industrial Engineers
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• v.36 no.3
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• pp.186-192
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• 2010

The present study classified the auto-parts makers into four groups according to their investment ownership. Four groups consist the one fully owned by Koreans, the one fully owned by foreigners, the one owned less than 100% but more than 50% by foreigners, lastly the one owned by less than or equal to 50% by foreigners. Among these, the auto-parts makers, 100% foreign ownership, have the highest Malmquist productivity index while 100% Korean-owned part-makers has the lowest productivity. In case of the 100% foreign ownership companies, the cause of Malmquist change, however, is attributed to the technical efficiency change. In particular, the pure technical change is the main source of the Malmquist change. This may indicate that the 100% foreign-owned companies have successfully transferred their production process technologies to the Korean plants. They are enjoying so called the "imitation-effect." 100% Korean-owned companies were not able to create the "imitationeffect" and therefore failed to close the gap with the foreign-owned companies in terms of the production efficiency. 100% Korean-owned auto-parts makers, however, outperformed the foreign-owned companies in the technological change. The outstanding technological change may indicate that Korean-owned part makers were able to narrow the gap with the foreign-owned companies in the area of engineering technological capabilities. The same results were also observed for 50% foreign-owned companies. Knowing that the core competence of the auto-parts makers lies on the engineering technological capabilities, the research found that the most desirable form of the foreign investment was 50% of foreign ownership.

• Proceedings of the KSRS Conference
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• 2008.10a
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• pp.390-393
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• 2008

We analyzed the landuse change, quantify the area covered by majors food crops (Paddy, Wheat, Barely, Maize, Millet and Potato) and their productivity trends in Terai, Nepal from 1987 to 2006. We used series of area covered by each single crop and production data published by Government of Nepal, Central Bureau of Statistics and Ministry of Agriculture and Cooperatives. Our results indicated that the agriculture land has increased by about 47% while forest has decreased by 32% between 1964 and 2001 in Terai. Whilst the total cropped area has increased by 19% between 1987 and 2006. The highest incremental change has observed in Potato by 234% followed by Wheat 31%, Maize 20% and Paddy 12% and so on. However, data revealed with very low crops productivity and it showed less than half of its potential except in Potato. The average yield of food crops /hectare /year during last 20 year has found only 3.094 metric tons. Only Potato has gained high average yield by 10.34 metric tons. While others crops yielded entirely low. 3 periods moving average depicted that the productivity trend of Barely and Millet has stagnant while others crops showed slightly up and down and increasing steadily over time. Further study is needed to comprehend the linkage of food productivity in the present food supply to demand and food security system in Terai, Nepal.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.6
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• pp.1337-1347
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• 2006

From the 1990s, Korean Life insurance industry has been experienced an profound impact from various exterior factors. In this study, productivity change in Korean Life insurance industry was measured by the Malmquist productivity change index. Analysis was made based on the balanced panel data from 1990 to 2003 collected from 8 lift insurance firms and 1993 to 1997 from 20 firms. The results show that survived firms' productivity change was higher than other firms.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.259-262
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• 2015

Due to the labor-intensiveness, high investment cost, long execution time, frequent change orders, and many stakeholders in a BIM project, a BIM manager is bound to face a lot of risks to make decisions in cost managing process. Since the productivity of a BIM team will affect the execution cost, this study investigates a simple method of assessing the productivity of a BIM team using the working timesheet records of the team. In this research, the productivity of a BIM team is defined as the effective working floor area (in square meters) of BIM uses per labor-time (in man-months) spent by the team. After the applicability of this method is tested by regression analysis using data from 5 real BIM projects in the construction phase, it is found that the simple productivity definition adopted in the method, although easy-to-implement, does not produce a statistically constant productivity value. More research is therefore needed in the future to devise better indicator(s) for assessing the productivity of a BIM team.

• Environmental and Resource Economics Review
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• v.25 no.2
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• pp.277-297
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• 2016

This study is to analyze the effects of changing pattern of climate vaariables on total factor productivity of Korea manufacture industry. Changes in temperature, rainfalls and humidity which are the representative climate variables are used as main factors. Not only average values of the variables but those highest values are used as independent variables in the model, in order to consider the characteristic pattern of recent climate change, the high volatilities. The OLS results are unlike to previous literature that temperature and humidity had no significant impact on manufacturing productivity. An increase in the amount of precipitation was analyzed that impact negatively impacted. The analysis of panel data showed that temperatures and precipitation all that does not significantly affect the manufacturing. While the increase of the average humidity is shown to increase the total productivity of manufacture industry. In Korea, adaptation capability is important in determining the effects of climate change on productivity of manufacture industry.

• Journal of The Korean Society of Grassland and Forage Science
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• v.40 no.4
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• pp.265-273
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• 2020

We aimed to predict the Italian ryegrass (IRG) productivity change of introduced and domestic varieties based on climate factors and identify suitable areas for IRG cultivation using the RCP 8.5 scenario. The minimum mean air temperature in January showed the highest correlation with productivity. The ratio of possible and low productivity areas was high in Gangwondo, and the ratio of suitable and best suitable areas was relatively high in the central and southern regions in the past 30 years. The change in the IRG cultivation area was found to be 26.9% in the best suitable area between 1981-2010 but increased significantly to 88.9% between 2090s. In the IRG suitability comparison classes between domestic and introduced cultivars, the ratio of suitable and best suitable areas was relatively high in the domestic varieties during the past 30 years. However, there is almost no difference between the IRG domestic and introduced varieties in the IRG suitability classes after the 2050s. These results can predict changes in the IRG suitability classes between domestic and introduced cultivars according to the climate change scenario, but there are limitations in accurately predicting the productivity of IRG because the results may vary depending on other environmental factors.

• Korean Journal of Agricultural and Forest Meteorology
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• v.20 no.4
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• pp.305-312
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• 2018

The crops cultivated and consumed in Korea require specific climate conditions corresponding to their own growth characteristics. This study aims to analyze the relationship between climate change and agricultural productivity. According to growing concern about climate change internationally, many agricultural studies are developing technology to prevent damage from climate change. Before developing technology, we should figure out what kind of crop gets huge damage and how much caused by climate change. In the context of agricultural economics, we can define the reduction of agricultural product yield as a decline in productivity. As a result, this study analyzes the effects of climate change on agricultural productivity using Stochastic Frontier Analysis model. There are several kinds of climate change phenomena that increase the inefficiency of production. In other words, there are several kinds of crops that get negative influence by climate change. The result of this study can be used as basic guideline for producers to prepare for changing weather prior to developing disaster tolerance technology coping actively with special weather report.