• 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.

• Management & Information Systems Review
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• v.17
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• pp.67-81
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• 2005

Harbor function has been changed into physical distribution position harbor system for providing most suitable physical distribution service with comprehensive rationalization of international physical distribution over simple loading unloading, and change function by far. Thus, to change our country into advanced economy, the factor of growth obstacles was to be eliminated, or it is so important that the physical distribution base establishment enlarges to improve potential productivity. That is, self effort is needed for physical distribution competition system, adjustable arrangement of physical distribution area, the establishment of comprehensive informations system, physical distribution rationalization. Also, to enforce harbor productivity, harbor should be developed systemically to able to function of comprehensive harbor for enlargement of harbor establishment, the device of advanced harbor function height, the linkage between and city program, harbor operation or investment system provement, harbor technique or international cooperation advancement.

• Journal of Korean Port Research
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• v.14 no.1
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• pp.13-26
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• 2000

In this paper, we compare and analyze the current state of the productivity of the stevedoring work among several container terminals in 1999. Based on these results of analysis, we firstly classify several factors which impede the efficient operations of container terminal as follows ; late arrival of container beyond cargo closing time(CCT), change of port of destination, change of vessel, and return cargo. Such factors are major cause for the cargo rehandling on terminals, thus deteriorate the overall performance of transfer crane during the stevedoring work. In order to improve the productivity of container terminal, we suggest that it is necessary for establishing and operating the efficient logistics management system. Especially, we emphasize the importance of information exchange on the scheduled cargoes among the relevant parties such as shippers, shipping companies, and terminal operators, which is the most effective way to alleviate the cargo rehandling.

• Journal of Distribution Science
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• v.11 no.8
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• pp.5-14
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• 2013

Purpose - We live in a world of constant change and competition. Many airports have specific competitiveness goals and strategies for achieving and maintaining them. The global economic recession, financial crises, and rising oil prices have resulted in an increasingly important role for facility investment and renewal and the implementation of appropriate policies in ensuring the competitive advantage for airports. It is thus important to analyze the factors that enhance efficiency and productivity for an airport. This study aims to determine the efficiency levels of 20 major airports in East Asia, Europe, and North America. Further, this study also suggests suitable policies and strategies for their development. Research design, data, and methodology - This paper employs the DEA-CCR, DEA-BCC, and DEA-Malmquist production index analysis models to determine airport efficiency. The study uses data on the efficiency and productivity of the world's leading airports between 2006 and 2010. The input variables include the airport size, the number of runways, the size of passenger terminals, and the size of cargo terminals. The output variables include the annual number of passengers and the annual cargo volume. The study uses basic data from the 2010 World Airport Traffic Report (ACI). The world's top 20 airports (as rated by the ACI report) are investigated. The study uses the expanded DEA Model and the Super Efficiency Model to identify the most effective airports among the top 20. The Malmquist productivity index analysis is used to measure airport effectiveness. Results - This study analyzes longitudinal and cross-sectional data on the world's top 20 airports covering 2006 to 2010. A CCR analysis shows that the most efficient airports in 2010 were Gatwick Airport (LGW), Zurich Airport (ZRH), Vienna Airport (VIE), Leonardo da Vinci Fiumicino Airport (FCO), Los Angeles International Airport (LAX), Seattle-Tacoma Airport (SEA), San Francisco Airport (SFO), HongKong Airport (HKG), Beijing Capital International Airport (PEK), and Shanghai Pudong Airport (PVG). We find that changes in airport productivity are affected more by technical factors than by airport efficiency. Conclusions - Based on the study results, we offer four airport development proposals. First, a benchmark airport needs to be identified. Second, inefficiency must be reduced and high-cost factors need to be managed. Third, airport operations should be enhanced through technical innovation. Finally, scientific demand forecasting and facility preparation must become the focus of attention. This paper has some limitations. Because the Malmquist productivity index is based on the hypothesis of the, the identified production change could be over- or under-estimated. Further, as DEA estimates the relative efficiency. It also cannot generalize to include all airport conditions because the variables are limited. To measure airport productivity more accurately, other input variables and environmental variables such as financial and policy factors should be included.

• Journal of Korean Society of Transportation
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• v.23 no.5 s.83
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• pp.15-25
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• 2005

Using a stochastic cost frontier approach(SCFA), this paper annually estimates the efficiency and productivity with same data in the papers which analyze the efficiency and productivity using data envelopment analysis(DEA) to compare the results and suggest the political findings of raising the efficiency and productivity 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 results show that the results of SCFA are higher than DEA for efficiency and lower for productivity in that DEA regards the stochastic error and measurement error as the inefficiency contrary to SFCA. But the political findings from these results appears to be similar as follows. First, the productivity of the three properties should be first improved by using existing technologies efficiently and then by introducing new ones. Second, the three properties should improve the technical efficiency through reducing input quantities to raise their efficiency. Finally, all the three components of the productivity such as productive efficiency change, technical change, and scale change should be considered to evaluate their productivity more correctly.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2011.11a
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• pp.16-18
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• 2011

Evaluation of climate change on the rice productivity was conducted using crop growth simulation model, where Odae, Hwaseong, Ilpum were used as a representative cultivar of early, medium, and medium-late rice maturity type, respectively, and climate change scenario 'A1B' was applied to weather data for future climate change at 57sites. When cropping season was fixed, rice yield decreased by 4~35% as climate change which was caused by poor filled grain ratio with high temperature and low irradiation during grain-filling. When cropping season was changed, rice yield decreased by only 0~5% as climate change which was caused poor filled grain ratio with low irradiation during grain-filling period. However, this irradiation decline was less than when cropping season was fixed. Therefore, we need to develop rice cultivars resistant to low irradiation which can maintain high filled grain ratio under poor irradiation condition, and late maturity rice cultivars whose growing period is longer than the present medium-late maturity type.

• Environmental and Resource Economics Review
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• v.24 no.2
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• pp.343-363
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• 2015

This study is to analyze the effects of climate change on national total factor productivity. Changes in temperature and rainfalls which are the representative climate variables are used as main factors to measure climate change. 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 corresponding to previous literature that average temperature has a negative relationship with productivities while average rainfalls have a positive relationship. However, the results of panel analysis contradict the argument of the negative relationship between average temperature and productivities since human beings can adapt the climate change. Therefore adaptation capacity is important to forecast the effects of climate changes on economies.

• Korean System Dynamics Review
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• v.5 no.1
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• pp.73-97
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• 2004

This paper explores the relationship between technological characteristics within process innovation and selection of the firms of different organizational forms in the evolution of an industry. For this purpose, this paper develops a simulation model for industrial change that replicates dynamic competition for process innovation. The simulation analysis found the following causal relationship. First, the stronger innovation impact in terms of productivity jump tends to enlarge the productivity difference among the incumbent firms and increase the speed of productivity catch-up by the large diversified firms, Second, the possibility of entry, and eventual dominance by the large diversified firms increase when the innovation-productivity linkage is stronger and there is less cumulativeness in productivity determination. These results imply that technological characteristics are important factors that have influence on whether or not the large diversified firms can enter and succeed in an industry.

• IE interfaces
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• v.21 no.3
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• pp.312-321
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• 2008

The productivity increase by technological advance is the biggest driving force of economic growth. In this paper, we investigate the inputs and outputs of the manufacturing and service industries in Korea. We also estimate the total and partial factor productivities of both industries using the Solow model and the Kendrick model. Finally, we analyze the contribution of each input factor to industrial growth.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.1914-1923
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• 2009

KORAIL continuously drives practical reforms of change and originality both internally and externally for the purpose of adapting to rapidly changing circumstance and promote productivity of the organization. Various management strategies are needed to increase its productivity, yet the fist thing to be considered is to select talented human resources. A selection of the human resource should be conducted based on 3R(Right People, Right Place, Right Time). This study empirically analyzes through actual study how the method of new employment introduced on January 1, 2005 positively affects capability and productivity of each member of KORAIL. The area of this study is defined centering on the standard of new employment, capability of personnel, and productivity of the organization. Also, the improvement of new employment standard of KORAIL is suggested as significance of the standard was verified through survey of the standard, the capability and the productivity conducted to KORAIL working personnel.