• Korean journal of applied entomology
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• v.57 no.4
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• pp.303-315
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• 2018

Bonsai is part of export forest products in Korea. Demand for bonsai exports to other countries is growing but the need for quarantine hazards must be eliminated in other to export. Plant parasitic nematode is also an important factor in quarantine. The nematodes were surveyed from bonsai farms in 6 areas of Korea. The surveyed deciduous bonsai plants were Acer palmatum, Zinnia elegans, Ligustrum obtusiflium, Carpinus turcaninowii, and Malus sieboldii. Three plant parasitic nematodes (Hemicyliophora koreana, Rotylenchus blothrotylus and Xiphinema americanum) and three non-parasitic nematodes (Aporclaimellus donghwaens, Egtitus andhricus, and Mesodorylaimus usitatus) were isolated from bonsai. Non-parasitic nematode, Mesodorylaimus usitatus was isolated from all surveyed bonsai trees. Only two species of quarantine nematodes (Hemcylicopora koreana and Xiphinema americanum) were found from bonsai. A. donghwaens and M. usitatus were isolated from root of bonsai tree. However other nematodes were isolated from soil in bonsai trees.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.23-31
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• 2022

The study investigates the effect of trade openness on the economic growth of agricultural countries. The information of export, import, gross domestic product (GDP), Gross Fixed Capital Formation (GFCF), and population of 72 agrarian nations generated by the World Bank from 2011 until 2020 is used for data examination. Then, before panel data analysis, a preferred model is chosen from among common-effects, fixed-effects, and random effects. The best model turns out to be a fixed-effect model. The result reports that from 2011 to 2020; 16 out of 72 nations have succeeded in experiencing positive economic growth, the value of GFCF was US$ 2,859.04 billion, and later grew by 19 percent to US$ 3,393.73 billion, the population tends to increase continuously year by year, and 2 out of 72 countries experienced export plus import exceed their GDP. Moreover, trade openness is positively associated with economic growth, with a coefficient of 3.81. Besides that, an increase in GFCF may boost economic growth by approximately 3.32 percent. On the contrary, one percent additional population significantly delivers around 25.46 percent negative economic growth. To sum up, the higher intensity of products or services sold and bought abroad may enhance the economic performance.

• Journal of Marine Bioscience and Biotechnology
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• v.3 no.1
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• pp.24-30
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• 2008

Fishing in Kenya, until the discovery of Nile perch as an export commodity in the early 1990s, has basically a subsistence occupation for the lake and coastal communities. The government also did not recognize the importance of fisheries as a contributor to the macro-economy and therefore, did not pay much attention in terms of resource allocation for the development of the sector. Most fishing in Kenya is artisanal, with a little industrial fishing by prawn trawlers. The deep sea (EEZ) fishery resources are currently exploited by DWFNs through a licensing system. Only a small quantity of catch from the EEZ is landed in Kenya, primarily tuna loins for processing for export. Currently capture fisheries, mainly from Lake Victoria, earn local fishers over Kenya shillings (K Sh) 7 billion, while exports earn the country K Sh 5 billion (US$ 50 million) in foreign exchange annually. The government has been putting in place an enabling environment to promote investment activities in order to achieve economic recovery as well as for the development and sustainable use of fisheries resources in the country within the specified period. The Department's major roles are to ensure sustainable exploitation of fisheries resources; to promote aquaculture development; to assure quality and safety of fish and fishery products; and to facilitate fish marketing in order to maximize the benefits that can be derived from fisheries. The contribution of fisheries to local incomes, subsistence and food nutrition is significant, as this occurs in areas with the highest incidences of poverty in the country.

• The Journal of Fisheries Business Administration
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• v.37 no.2 s.71
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• pp.85-109
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• 2006

This study is aimed to investigate the structure of world pollack markets and the position/competitiveness or Korea for WTO/NAMA Negotiation. First or all, it is clearly pointed out that many limitations and problems are inherent in FAO statistics that is widely utilized to investigate the structure of international seafood markets. Especially, it is impossible to find not only the data for Russia that is the top production and export country of pollack, but also the data for importing/exporting countries for pollack. In order to make up for these problems, the data for export and import of major countries are collected and analyzed. The results of analysis show the followings. First, it is clearly investigated that classification of fish products are different for countries. Second, it is understood the structure of international pollack market in actuality. The pollack market is segmented by frozen, fresh, dried, fillet, roe, surimi, etc. In addition, the pollack market has grown as much as 600,000 tons in amount and $1.2billion in value. Third, competitiveness of Korea in international pollack markets is measured quantitatively. It shows that Korea has low RAC index and TSI index, but high RMI index. Thus, it is identified that Korea becomes the largest pollack importing country. Fourth, the partial equilibrium analysis on pollack import market of Korea indicates that the frozen pollack has both price elasticity and substitution elasticity, while the fresh pollack has income elasticity.

• Korea Trade Review
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• v.47 no.1
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• pp.199-214
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• 2022

This study aims to quantify the value of origin among CPTPP and Korea, under the assumption that the 'cumulation' clause has large economic effects in multilateral FTAs and increase the possibility of improving FTA utilization. Analysing the relationship between value-added exports and FTA utilization rate, there is a positive correlation between the two variables, and the cumulation of multilateral production of CPTPP is expected to increase Korea's value-added exports. In the GTAP-VA model, the target of cumulation is calculated as 'Domestic Value Added', and all value-added of CPTPP are cumulated in the form of value added exports of exporting country. When Korea participates in CPTPP, it is possible to cumulate additional 6.3~9.6% value added, and the agreements with low FTA export utilization rates such as New Zealand, ASEAN would have greater economic effects of cumulation. For the successful implementation of CPTPP in Korea, it is necessary to develop a new origin verification system that enables multilateral value-added cumulation. It is time to seek cooperation with countries currently participating in CPTPP to prove the value added inherent in CPTPP-originating products.

• Journal of Korea Port Economic Association
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• v.36 no.4
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• pp.1-16
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• 2020

Since Korea has excellent port infrastructure and competitive petrochemical complexes, there is plenty of potential for creating an oil hub in Northeast Asia. In particular, Ship-to-Ship (STS), which creates high added values, contributes greatly to the national economy. In this study, the liquid cargo volumes of chemical industrial products, refined petroleum products, and crude oil were analyzed at the national and regional (Busan, Ulsan, and Yeosu/Gwangyang) levels. Additionally, a Granger causality analysis was performed between imports, exports, and transshipments, in pairs. ADF, PP, and KPSS were analyzed for the unit root test. In addition, the VAR model and expanded VAR model suggested by Toda and Yamamoto were used for further analyses. Findings revealed a difference in Granger causality depending on the region or cargo type. These findings suggest that policies and incentive schemes for ports need to be differentiated according to the region and cargo types. In addition, the different patterns in the relationship between transshipments and import-export petrochemical cargoes should be considered.

• Journal of the Korean Society of Food Culture
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• v.33 no.2
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• pp.149-159
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• 2018

Malaysia is regarded as one of the leaders in the global halal marketplace, which has undergone huge growth in the past few years. The aims of this study were to identify imported food consumers in Malaysia based on Food Related Lifestyle (FRL) attributes and to investigate the demographic characteristics and purchasing behaviors of each segmented groups. Using an online survey, a total of 600 responses were collected in Malaysia. Excluding invalid responses, cluster analysis segmented imported food consumers into four FRL groups: impulsive, high interest, low interest, and traditional consumers. The results of this study were as follows. First, depending on lifestyle, the groups exhibited significant differences in demographic characteristics (age, race, religion, and education level). Second, differences in purchasing behaviors (purchasing frequency, place, and information sources of imported food products) were verified. Especially, purchasing frequency of imported food was higher in the high interest consumer group compared to the other groups. Based on these results, marketing implications of the study findings are discussed.

• East Asian Economic Review
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• v.16 no.1
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• pp.67-96
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• 2012

Previous literature has looked merely into the effect of trade facilitation on aggregate trade, or analyzed trade growth using the extensive and intensive margins. This paper blends these two lines of research for a detailed analysis of the impact of trade facilitation on trade by using highly disaggregated trade data and a more composite index for measuring trade facilitation, also taking into account the export sectors and income levels of countries. As a result, this paper finds that developing countries with higher trade facilitation levels export a wider range of products, especially primary goods. While trade facilitation levels do not have a statistically significant association with trade at the intensive margin in general, further analysis shows that the impact of advanced trade facilitation is the largest for lower middle-income countries in primary goods trade at the intensive margin, and the largest for upper middle-income countries in manufactured goods trade at the intensive margin. More importantly, our policy simulation results suggest that trade facilitation-related policy reforms enable developing countries to benefit from increased trade in manufactured goods at the extensive margin.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.266-267
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• 2015

The information security (information security knowledge) industry is technology-intensive, high value-added industries. South Korea's response has excellent ICT skills and experience and skills in a variety of cyber attacks, has become a benchmark in the world. However, the small size of the domestic information security company, supporting infrastructure is lacking. Domestic information security industry is the primary condition to activate the export. In order to export it is necessary to develop for the Korean Cybersecurity Goods Menu for products, services and technologies of the domestic information security industry. Buyer Menu as well as foreign and domestic Seller, companies and governments know the details of the assets and product information security industry and is a prerequisite to sell. In this paper, I study the Korean Cybersecurity Goods Menu development.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.69-88
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• 2022

One of the characteristics of South Korea's economic structure is that it is highly dependent on exports. Thus, many businesses are closely related to the global economy and diplomatic situation. In addition, small and medium-sized enterprises(SMEs) specialized in exporting are struggling due to the spread of COVID-19. Therefore, this study aimed to develop a model to forecast exports for next year to support SMEs' export strategy and decision making. Also, this study proposed a strategy to recommend promising export countries of each item based on the forecasting model. We analyzed important variables used in previous studies such as country-specific, item-specific, and macro-economic variables and collected those variables to train our prediction model. Next, through the exploratory data analysis(EDA) it was found that exports, which is a target variable, have a highly skewed distribution. To deal with this issue and improve predictive performance, we suggest a separated learning method. In a separated learning method, the whole dataset is divided into homogeneous subgroups and a prediction algorithm is applied to each group. Thus, characteristics of each group can be more precisely trained using different input variables and algorithms. In this study, we divided the dataset into five subgroups based on the exports to decrease skewness of the target variable. After the separation, we found that each group has different characteristics in countries and goods. For example, In Group 1, most of the exporting countries are developing countries and the majority of exporting goods are low value products such as glass and prints. On the other hand, major exporting countries of South Korea such as China, USA, and Vietnam are included in Group 4 and Group 5 and most exporting goods in these groups are high value products. Then we used LightGBM(LGBM) and Exponential Moving Average(EMA) for prediction. Considering the characteristics of each group, models were built using LGBM for Group 1 to 4 and EMA for Group 5. To evaluate the performance of the model, we compare different model structures and algorithms. As a result, it was found that the separated learning model had best performance compared to other models. After the model was built, we also provided variable importance of each group using SHAP-value to add explainability of our model. Based on the prediction model, we proposed a second-stage recommendation strategy for potential export countries. In the first phase, BCG matrix was used to find Star and Question Mark markets that are expected to grow rapidly. In the second phase, we calculated scores for each country and recommendations were made according to ranking. Using this recommendation framework, potential export countries were selected and information about those countries for each item was presented. There are several implications of this study. First of all, most of the preceding studies have conducted research on the specific situation or country. However, this study use various variables and develops a machine learning model for a wide range of countries and items. Second, as to our knowledge, it is the first attempt to adopt a separated learning method for exports prediction. By separating the dataset into 5 homogeneous subgroups, we could enhance the predictive performance of the model. Also, more detailed explanation of models by group is provided using SHAP values. Lastly, this study has several practical implications. There are some platforms which serve trade information including KOTRA, but most of them are based on past data. Therefore, it is not easy for companies to predict future trends. By utilizing the model and recommendation strategy in this research, trade related services in each platform can be improved so that companies including SMEs can fully utilize the service when making strategies and decisions for exports.