• Journal of Korea Port Economic Association
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• v.24 no.2
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• pp.209-239
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• 2008

The purpose of this paper is to investigate the effectiveness of Korean port investment by using the newly developed slack-based multi-year panel congestion model of DEA(Data Envelopment Analysis). Inputs[port investment amount, cargo handling capacity, and berthing capacity], and outputs[cargo handling amount, number of ship calls, revenue, and score of customer service satisfaction] are used during 1994-2004 for 20 Korean seaports. Empirical analysis identified congestion especially in port investment as input at the ports of Gunsan, and Busan in the all 3 models, and the ports of Pyungtag, Mogpo, Yeosu, and leju in over 2 models. Port investment induced the rapid increase of port efficiency from the ports of Masan, Incheon, Donghae, and Samcheok. Therefore other ports except these ports should examine the reason about the inefficiency of port investment by searching out the situation of each ports directly. The main policy implication based on the findings of this study is that The Ministry of Land, Transport and Maritime Affairs in Korea should introduce the new measurement way after reviewing the multi-year slack-based congestion approach when the amount of port investment for each port is decided.

• Journal of the Korea Convergence Society
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• v.11 no.6
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• pp.237-248
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• 2020

The purpose of this study is to measure the agricultural product market efficiency of the three e-commerce platforms from the perspective of consumer price fairness perception, analyze the quality and price gap of invalid brands, and help agricultural products enterprises to formulate reasonable price strategies. The characteristics of farm products sold in e-commerce platforms(quality, origin, taste, safety level) were selected as output indicators and the prices of products were selected as input indicators to evaluate the efficiency of the market through DEA analysis. According to the analysis, JD mall has the largest proportion of effective brands, while YHD.com has the highest average market efficiency, and northeast rice has the largest difference in average efficiency among the three platforms. The results show that price inefficiencies still exist in the electronic market. The development of online market for agricultural products should pay attention to consumer price fairness and pay attention to the coordination between price and quality. The limitation of this paper is that it does not focus on the influence of words of mouth marketing in internet market and consumer experience, which can be the future research direction.

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.159-173
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• 2017

In order to provide technical financial support to small and medium-sized venture companies based on technology, the government implemented the TCB evaluation, which is a kind of technology rating evaluation, from the Kibo and a qualified private TCB. In this paper, we briefly review the current state of TCB evaluation and available indicators related to technology evaluation accumulated in the Korea Credit Information Services (TDB), and then use indicators that have a significant effect on the technology rating score. Multiple regression techniques will be explored. And the relative importance and classification accuracy of the indicators were calculated by applying the key indicators as independent features applied to the generalized boosting model, which is a representative machine learning classifier, as the class influence and the fitness of each model. As a result of the analysis, it was analyzed that the relative importance between the two models was not significantly different. However, GBM model had more weight on the InnoBiz certification, R&D department, patent registration and venture confirmation indicators than regression model.

• Journal of Energy Engineering
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• v.25 no.3
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• pp.1-8
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• 2016

North Korea is currently undergoing an economic crisis of industrial productivity reduction, which resulted from decreased energy production and economic sanctions due to conflicts with the international society. This paper examined the technological status of North Korea's natural gas and coal industries which are essential sectors for recovery of the economy and North-South cooperation on energy industry. This paper also analyzed investment strategies in North Korean energy industries and calculated the size of economic ripple effect of the investment on North and South Korea. In order to analyze the effect of the investment on North Korean economy, we constructed an inter-industry relation table of North Korea for year 2014 and used an input-output model. The ripple effect of the investment in natural gas and coal industries turned out to be 1.012 billion dollars and 2.742 billion dollars respectively. In order to analyze the ripple effect of the investment on South Korean economy, we constructed an inter-industry relation table of South Korea for year 2013 and used a demand-driven model for inter-industry analysis. As a result, production, added-value and employment inducement coefficients of the investment were calculated as 2.02073, 0.62697 and 8.99409 for the natural gas industry and 2.02130, 0.62701 and 9.00413 for the coal industry respectively.

• Journal of Korea Port Economic Association
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• v.26 no.1
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• pp.43-60
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• 2010

The purpose of this paper is to show the clustering measurement way for Korean container terminals by using neural network based SOM(Self Organizing Map). Inputs[Number of Employee, Quay Length, Container Terminal Area, Number of Gantry Crane], and output[TEU] are used for 3 years(2002,2003, and 2004) for 8 Korean container terminals by applying both DEA and SOM models. Empirical main results are as follows: First, the result of DEA analysis shows the possibility for clustering among the terminals and reference terminals except Gamcheon and Gwangyang terminals because of the locational closeness. Second, the result of neural network based SOM clustering analysis shows the positive clustering in clustering positions 1, 2, 3, 4, and 5. Third, the results between SOM clustering and DEA clustering show the matching ratio about 67%. The main policy implication based on the findings of this study is that the port policy planner of Ministry of Land, Transport and Maritime Affairs in Korea should introduce the clustering measurement way for the Korean container terminals using neural network based SOM with DEA models for clustering Korean ports and terminals.

• Journal of Korea Port Economic Association
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• v.27 no.4
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• pp.51-71
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• 2011

The purpose of this study is to use DEA modeling to make an analysis on 12 ODCYs in the hinterland of Busan North Port, so that it may propose possible ways to efficiently operate them. For analysis, this study adopted 3 input factors such as CY area, number of employees and number of cargo work equipments and also adopted 1 output factor, i.e. container throughput. According to the analysis DEA-CCR model, it was found that Chunil(YongDang CY) was the most efficient one among companies engaged in the operation of ODCY. And it was found that KCTC(YongDang CY), Kukbo(U-Am CY), KORAIL(BusanJin CY) and Hanjin (JaeSong CY) would need to boost the container throughput 5 or more times higher than current throughput with a view to improving cargo handling efficiency, while Sebang(U-Am CY), KCTC(U-Am CY), KCTC(YongDang CY), Hyopsung(YongDang CY) and Kukbo(U-Am CY) need to work on personnel restructuring targeted to current employees. Based on the analysis DEA-BCC model, it was found that Chunil(YongDang CY), Dongbu(ShinYoung GamMan CY), Intergis(GamMan CY) and Sebang(U-Am CY) were efficient companies, but KCTC(YongDang CY), Kukbo(U-Am CY), KORAIL(BusanJin CY) and Hanjin(JaeSong CY) were inefficient companies. Particularly, it was found that both KCTC(U-Am CY) and Kukbo(U-Am CY) would need to try harder to carry out personnel reshuffle than other comparable companies.

• Journal of Korea Port Economic Association
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• v.38 no.1
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• pp.113-127
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• 2022

The purpose of this study is to analyze the efficiency of 90 domestic passenger shipping routes using the DEA Window model as a Decision Making Unit (DMU). Data from 2015 to 2019 are divided into three windows, and efficiency was analyzed by using the number of passenger ships of sails, gross tonnage and distance traveled as input variables and transportation performance of the general public and islanders as output variables. As a result of the analysis, improvements are derived and presented for routes with low relative efficiency. In particular, the efficiency is evaluated for general routes operated by private operators as profit routes and auxiliary routes supported by the government as non-profit routes. In addition, scale efficiency (SE) is derived by using the technical efficiency (TE) of the CCR model and the pure technical efficiency (PTE) values of the BCC model. It is found that the inefficiency of the route was due to pure technical efficiency (PTE) rather than scale efficiency (SE). It will be necessary to consider the improvements for each route shown in the analysis results of this study when establishing the policy for the domestic passenger shipping route.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.6
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• pp.757-772
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• 2019

The purpose of this paper is to measure the clustering change and analyze empirical results, and choose the clustering ports for Busan, Incheon, and Gwangyang ports by using Artificial Neural Network, Social Network, and Tabu Search models on 38 Asian container ports over the period 2007-2016. The models consider number of cranes, depth, birth length, and total area as inputs and container throughput as output. Followings are the main empirical results. First, the variables ranking order which affects the clustering according to artificial neural network are TEU, birth length, depth, total area, and number of cranes. Second, social network analysis shows the same clustering in the benevolent and aggressive models. Third, the efficiency of domestic ports are worsened after clustering using social network analysis and tabu search models. Forth, social network and tabu search models can increase the efficiency by 37% compared to that of the general CCR model. Fifth, according to the social network analysis and tabu search models, 3 Korean ports could be clustered with Asian ports like Busan Port(Kobe, Osaka, Port Klang, Tanjung Pelepas, and Manila), Incheon Port(Shahid Rajaee, and Gwangyang), and Gwangyang Port(Aqaba, Port Sulatan Qaboos, Dammam, Khor Fakkan, and Incheon). Korean seaport authority should introduce port improvement plans by using the methods used in this paper.

• Spatial Information Research
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• v.22 no.3
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• pp.23-24
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• 2014

NGII (National Geographic Information Institute) has been providing VRS (Virtual Reference Station) service so that could determine precise positioning in real time since 2007. However, since the VRS service has to maintain the connected status with VRS server, the number of users who can use VRS service are limited by capacity of VRS server. To solve this problem, NGII has been providing FKP (Virtual Reference Station) service using one way telecommunication from November 1, 2012. Therefore, it is predicted that the usage of FKP service will increase in public surveying and cadastral resurveying in the future. However, the studies with respect to analysis of FKP precision for applying to public surveying and cadastral resurveying is not conducted enough. In this study, to analyse the application possibility of FKP on the public surveying and cadastral resurveying, the two kind analysis were performed. First is the analysis of accuracy according to the configuration of reference station of FKP and VRS. One is consisted of same reference stations, another is consisted of different reference stations. Second is the accuracy anlalysis of horizontal and vertical positioning acquiring VRS and FKP data in various measurement environment based on VRS regulation. Result of first study, Positioning accuracy according to the configuration of the reference stations satisfies related regulation. However, accuracy of FKP in case of different reference stations is worse than in case of same reference stations.. The result of second test shows that the horizontal precision of FKP and VRS in good measurement environment satisfy the allowed precision. However, in some case, horizontal precision of FKP and VRS in poor measurement environment exceed the allowed precision. In addition, the number of exceeding the allowed precision in the FKP is more than the VRS. The vertical precision of the VRS satisfy related work provision. In conclusion, the result of this study shows that the FKP only in open area should be used for public survey and cadastral resurvey. Therefore the additional studies with respect to the improvement of FKP precision should be conducted.

• Korean Journal of Construction Engineering and Management
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• v.15 no.5
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• pp.82-93
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• 2014

Long Term rental housing, which is supplied for performing housing welfare, has been aging from permanent rental housing. Therefore, variety housing welfare projects are planing and performing for improving aged facilities. However, although every welfare policy are necessary, we have to efficiently allocate and commit the funds, because the fund and resources is limited. And there is required the feasibility study before performing public project for housing welfare, because it needs large amount of financial supports by government. Meanwhile, because most of existed studies are focused on guide development, it has limitation to apply the result of existed studies in this study, which considers public remodeling project for housing welfare. But in reality, public project is been decided by willing of policy decision-maker. Therefore, in this study, we suggest the evaluation method of policy value for two alternatives(remodeling and maintain) of a aged long term rental housing. To extract the attributes of policy value, we considered categorized items of preliminary feasibility study. Through extracting attribute factors of policy value for aged long term rental housing, we can calculate the policy value of remodeling and maintain alternatives by using MAUT. As a result of analysis, we can find that the utility value of remodeling is 0.6161 and the utility value of maintain is 0.2461 and also the utility of remodeling is higher than utility of maintain. Therefore, when we plan the public projects for performing housing welfare, we can choose remodeling alternative rather than maintain alternative using quantitive data.