• The Journal of shipping and logistics
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• v.35 no.2
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• pp.245-264
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• 2019

With the first agrement in 2004, Korea(ROK) has been one of the most active countries participating in FTA. Companies should meet some requirements to use preferential tariff benefits of FTA. For example, it is required for firms to fulfil the origin criteria and direct transportation principles. This study is designed to provide important factors determining reliability of FTA Origin Certificate. In specific, characteries of firm(trade experience, professional expertise), country (FTA participation, economic development) and product(processing level, value pricing) are investigated as determinants of how trust FTA origin certificate. According to the theoretical foundation and previous studies, this study made 6 hypotheses. SEM(Structural Equation Modeling) was used to test empirically the hypothesized relationships among variables. The empirical findings show that trade experience, professional expertise and FTA participation are important determinants. In other words, firms can trust more FTA Origin Certificate by trading partners with more trading experiences and professional expertises located in countries where participate actively in FTA.

• The Journal of Bigdata
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• v.7 no.2
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• pp.1-9
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• 2022

In the global era, the importance of imported food safety management is increasing. Address information of overseas food companies is key information for imported food safety management, and must be verified for prompt response and follow-up management in the event of a food risk. However, because each country's address system is different, one verification system cannot verify the addresses of all countries. Also, the purpose of address verification may be different depending on the field used. In this paper, we deal with the problem of classifying a given overseas food business address into the administrative district level of the country. This is because, in the event of harm to imported food, it is necessary to find the administrative district level from the address of the relevant company, and based on this trace the food distribution route or take measures to ban imports. However, in some countries the administrative district level name is omitted from the address, and the same place name is used repeatedly in several administrative district levels, so it is not easy to accurately classify the administrative district level from the address. In this study we propose a deep learning-based administrative district level classification model suitable for this case, and verify the actual address data of overseas food companies. Specifically, a method of training using a label powerset in a multi-label classification model is used. To verify the proposed method, the accuracy was verified for the addresses of overseas manufacturing companies in Ecuador and Vietnam registered with the Ministry of Food and Drug Safety, and the accuracy was improved by 28.1% and 13%, respectively, compared to the existing classification model.

• The Hankook-Saengyark Bo
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• no.226
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• pp.1-1
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• 1998

• Journal of Korean Society of Transportation
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• v.28 no.2
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• pp.7-19
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• 2010

Users of metropolitan railroad is increased continuously because of its various advantage such as comfortableness, convenience and punctuality. Thus, several local government including Seoul considered new installation or extension of railroads and four railroad operators maintain seventeen lines at present. After public transportation reforms in 2004 and integrated discount fare system in 2007, public transportation become more convenient in many aspects. However, these trials gives much more complex allocating problems of revenues among public transportation operators. In this paper, we deal with revenue allocating problems among public transportation operators after integrated discount fare system in 2007. Specifically, this study focuses on allocating revenues to metropolitan railroad operators by using RF card data. This research roughly proposes the methodology of O/D extraction from RF card data, generalized cost estimation and allocating revenue algorithm. We use RF card data in order to draw out exact individual O/D data and try to compare our results with those of Korea Smart Card Company. In generalized cost estimation, survey study about transfer factors is conducted for accurate estimation of generalized cost function. Lastly, new allocating revenue algorithm using k-path and non-dominated path concept is suggested. It is expected that case study is also performed with real revenues and O/D data in order to check up the application. Preposed methodology in this research can contribute to solve present and future revenue allocating issues according to the introduction of LRT and private railroad.

• Journal of Korean Society of Transportation
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• v.27 no.4
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• pp.63-76
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• 2009

On the basis of a Stochastic Frontier Approach (SFA), this paper analyses revenue efficiencies for the same sample of Korean and Japanese railways in the papers which analyze cost efficiencies using a generalized translog functional form. The paper also compares the results of revenue efficiencies with cost efficiencies and evaluates the effects of managerial autonomy and privatization on the firm-specific efficiencies. The results show that the average estimate of revenue inefficiency is 7.02% when the term of inefficiency is assumed to be distributed as a half-normal and 6.98% as a exponential for the total sample. Also, standardized inefficiencies in revenues (7.5%) are greater than those in costs (2.1%). JR East and JR West are found to be most efficient on the revenue side and on the cost side respectively while JNR and JR Kyushu are worst efficient on the both sides. Finally, the correlations between efficiencies in revenues and costs also between efficiencies and privatization are positively correlated. The results suggest that the most independent companies, with increased managerial autonomy via privatization, are the most efficient in both revenues and costs.

• Korea Trade Review
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• v.42 no.1
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• pp.69-97
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• 2017

This study purpose to examine the importer's risks that may arise from origin investigation by Customs authorities. We have drawn the important factors affecting the application of FTA preferential tariffs and divided the stages from the conclusion of the contract for the importer to the undergoing origin investigation. In addition, we demonstrate empirically that the risks that arise in areas where importers are difficult to control exist. As a management method of the uncontrollable risk from the importer, we have provided the methods that the seller stipulated the seller's responsibility in the trade contract, prepared for situations in which no one was responsible, and formulated a friendly and cooperative supply chain. Even if the seller's liability is clarified in the contract for sale, the risk of the investigation into the origin of the imported goods is not completely eliminated. This is because, under the current agreement and system, there is no way for the customs authority of the contracting party of the FTA to claim compensation for damages incurred by importers due to breach of agreement such as not returning the result of the origin verification. Importers are subject to customs duties, but there may actually be situations in which no one is responsible for them.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.57 no.3
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• pp.296-300
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• 2012

Discrimination of geographic origin of agricultural products is a important issue in Korea because the price difference between Korean domestic and imported cereals is a key among some reasons. NIRS (Near Infrared Reflectance Spectroscopy) has been applied to classify the geographical origin of soybeans. Total 135 samples (Korean domestic 92 and foreign 43) were used to obtain calibration equation through 400~2,500 nm wavelength. The math treatment with 1st derivative and 4 nm gap and the modified partial least squares(MPLS)regression was outstanding for calibration equation. The standard error of calibration and determination coefficient in calibration set(n=115) was 6.65 and 0.98, respectively. And it showed that the extra 20 samples for validation equation were identified their authentication correctly. This study describes that the application of NIRS would be possible for discrimination of geographical origin between Korean domestic and imported soybeans.

• Journal of Korea Port Economic Association
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• v.36 no.3
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• pp.115-136
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• 2020

This study aims to analyze the impact of China's iron ore imports and exports on the tramper freight rate of China. The import volume of iron ore in China, the export volume of steel products in China, and exogenous variables were used as independent variables. The dependent variables were BDI, BCI, C5, C10, C14, BSI, S2, and S3. Correlation analysis and regression analysis were conducted. The correlation analysis showed that China's iron ore imports were not related to the remaining BDI, BCI, BSI, C5, C10, S2, and S3, except for the C14 index. However, there was a positive correlation between the ship's space and international oil prices, and it was not related to China's Purchasing Managers Index (PMI). The export volume of steel products was negatively correlated with BDI, BCI, BSI, C5, C10, C14, S2, S3, and international oil prices, and was not related to iron ore imports, ship space, and China's PMI. In the verification of the hypothesis between China's iron ore imports and exogenous variables, China's PMI was rejected within the hypothesis. However, the hypothesis on international oil prices and ship space was adopted. In the verification of the hypothesis between China's steel export volume and exogenous variables, the hypothesis on BDI and the S3 index was adopted, and the hypothesis on BSI and S2 was rejected. In the analysis results of this study, the ship space and oil prices were adopted in all the hypothesis results. Domestic companies participating in the tramper shipping market will need to be prepared through continuous monitoring of related indicators.

• Journal of The Korean Society of Grassland and Forage Science
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• v.20 no.4
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• pp.303-308
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• 2000

The objective of this experiment was to evaluate chemical composition, dry matter(DM) digestibility, DM intake, relative feed value(RFV) and hay grade of imported roughage which was collected by wholesale dealer at Chungnam province in 1999. Experimental roughages includes 8 kinds of imported hays(com stover bale, tall fescue straw, green cell, bermudagrass straw, reed carnarygrass straw, alfalfa bale, sugarcane bale and oat hay) and mixture hay(control) which was harvested at Chungnam National University experimental field. Compared with mixture hay(control) except for alfalfa bale, crude protein of most imported roughage was low, but NDF, ADF, cellulose and lignin compound were high. Futhermore, DM digestibility, DM intake, RFV and hay grade of imported roughage except for alfalfa bale was significantly lower than those of mixture hay(control)(P<0.05). Therefore, it is necessary to evaluate the economic value in the aspect of quality for the imported roughages.

• Journal of Navigation and Port Research
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• v.44 no.6
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• pp.517-523
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• 2020

Pyeongtaek·Dangjin port handles the largest volume of finished vehicles in Korea, including more than 95% of imported cars. However, since the volume of imported cars has been stagnant since 2015, officials planning to invest in port development or automobile-related industries must make new forecasts. Economic variables such as the GDP often have been used in predicting automobile volume, but prior research showed that the impact of these economic variables on automobile volume I has been gradually decreasing in developed countries. These variables remain important predictors, however, in developing countries that experience rapid economic growth. In this study, predicting the volume of imported passenger cars at Pyeongtaek·Dangjin port, the decreasing Korean population was a major factor we considered. Our forecast showed that the volume of imported passenger cars at Pyeongtaek·Dangjin port will gradually decrease -by 2021. The Mean Absolute Percentage Error (MAPE) verification was performed to measure the accuracy of the predicted results, and the scenario analysis was performed on the share of imported passenger cars.