• International Area Studies Review
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• v.16 no.1
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• pp.243-274
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• 2012

This research analyzes the determinants of Korea's trade using the Gravity model, Chow test and panel data anaysis. According to the pooled panel OLS analysis using the gravity model and Chow-test, Korea's trade patterns before and after the 2008 financial crisis are heterogeneous. Variables of basic gravity model, GDP per capita, distance, and population, identically showed positive and significant correlation with trade volume before and after financial crisis, but also equally showed the decrease in absolute value of coefficient. On the other hands, Overseas Direct Investments(ODI) variable showed the increase in absolute value of coefficient. But TCI was no longer significant. This research is significant in that it is able to show the strategy for the long term growth in Korea's volume of international trade through econometric analysis based on data of 55 trading partner of Korea.

• Journal of Korea Trade
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• v.23 no.6
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• pp.131-144
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• 2019

Purpose - The purpose of this study was to investigate market power of soybeans exported by the United States to Korea. Particularly, this paper considered dichotomous characteristics of genetically modified (GM) soybeans and non-GM soybeans and conducted empirical analysis of these two segregated soybean markets to understand key tenets of market power in international soybean trade. Design/methodology - The difference in market power between GM and non-GM soybeans was analyzed using Residual Demand Elasticity (RDE) and Residual Supply Elasticity (RSE) models over the period of 2008~2018. RDE and RSE models under an imperfect competition condition were used to estimate market margins and determine whether GM and non-GM exporters or importers exercised market power in the destination market. Findings - Empirical results suggested that the U.S. had a market power on both GM and non-GM soybean exports. GM exports had greater market power than non-GM exports (14% vs. 9%). By contrast, Korea showed an inability to grab market margin or exert market power in soybean imports. Both export supply by the U.S. and import demand by Korea were found to be more responsive to price changes of GM soybeans than to prices changes of non-GM soybeans. This might be due to a self-interested, profit-seeking strategy by the exporter and many concerned consumers regarding potential adverse effects of GMOs in the importing country. Originality/value - This paper fills the literature gap by exploiting market power in both GM and non-GM markets with explicit consideration of price correlations between GM and non-GM soybeans in Korea. A number of existing studies have provided evidence for market power broadly embedded in international commodity trade. However, studies focusing on Korean markets are limited. No study has explored the country's soybean trade. Furthermore, the majority of prior studies have almost exclusively focused on the market power from a standpoint of exporting countries without discussing importers' market structure. This paper also sought to understand potentially distinguished patterns of market power between GM and non-GM markets.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.27 no.1
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• pp.45-54
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• 2024

This study developed a model to evaluate the co-benefits and trade-off effects between biodiversity and carbon storage capacity based on the implementation locations of nature-based solutions. The model aims to propose optimal implementation locations by using the conceptual idea of edge effects for carbon storage and connectivity for biodiversity. The co-benefits were considered by simultaneously taking into account two effects rather than a single effect. Trade-off effects were observed among optimal plans through a comparison of benefits. The NSGA-II multi-objective optimization algorithm was utilized, confirming the identification of Pareto-optimal solutions. The implementation patterns of Pareto-optimal solutions for green areas were examined. This study holds significance in proposing optimal locations by evaluating various co-benefits and trade-off effects of nature-based solutions. By advancing models based on this evaluation framework, it is anticipated that the assessment of co-benefits and trade-off effects among various benefits of nature-based solutions, such as climate change mitigation, enhancement of biodiversity, and provision of ecosystem services, can be accomplished.

• Korea Trade Review
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• v.45 no.1
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• pp.101-118
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• 2020

This study aims to quantify the effects of non-tariff measures (NTMs) on exports in the Korean manufacturing industry. To do this, we employ product-level export data that includes information about whether or not a product is affected by NTMs. One of the main results is that NTMs (SPS/TBT) on average led to reduction in Korean exports. However, the effects of NTMs differed depending on the income level of the NTM-imposing country. The NTMs imposed by high-income countries, such as U.S.A. and Japan, were found to impede Korean exports, whereas the export effect of NTMs imposed by low-income countries such as China was found to not be statistically significant. In addition, the results analyzed based across industries, income level, and types of NTMs are as follows. First, NTMs imposed on textile-related products generally hindered exports regardless of the type of NTMs, but its negative impact on exports was noticeable in the case of NTMs originating from high-income countries. On the other hand, chemical product-related NTMs were found to lead to an increase in Korean exports, and it had a positive effect in the case of SPS imposed by low-income countries. In other industries except for textile- and chemical-related products, the effects of NTMs on exports were either statistically insignificant or showed inconsistent patterns.

• Korea Trade Review
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• v.45 no.4
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• pp.107-123
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• 2020

The purpose of this paper is to analyze the Granger Causality relations between Korean FDI and exports in Vietnam using time-series from 2005 to 2019. Using 15-industry semi-annual data of Korean FDI and exports toward Vietnam, the Granger Causality Tests were conducted. Var and VEC models were decided after unit-root and cointegration tests of variables. Findings and implications of the empirical tests are as follows. First, unexpectedly FDI did not Grange-cause exports only in one direction. In two industries, food & beverage and medical & chemical products, there were Granger causality relations in both directions. In eight industries including print, publishig, pulp & paper, exports did Grange-cause FDI. In the rest of five industries including automative & trailer industry, there were no Granger Causality relation in both directions. Second, we presume that the both direction-causality relations are desirable phenomenon for Korea. Because Korean FDI and exports are increasing at the same time. On the other hand, substitution relationship between Korea's exports and FDI occur in the industry that exports did Grange-cause FDI. Finally, more in-depth researches considering Vietnam's consumer demand and the oriented characteristics of FDI are needed. The results of this research will contribute to understand structural patterns of FDI and exports in Vietnam and to make investment and export decisions.

• KDI Journal of Economic Policy
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• v.32 no.2
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• pp.93-143
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• 2010

This paper estimates the impact of Japan's economic sanction on DPRK trade in the 2000s. It conceptualizes the effects of sanction on DPRK trade, econometrically tests whether such effects exist in case of Japan's sanction using currently available DPRK trade statistics, and measures the size of the effects by correcting and reconfiguring the deficiencies of the currently available DPRK trade statistics. The main findings of the paper are as follows. First, Japan's sanction can have two different effects on DPRK trade: 'Sanction Country Effect' and "Third Country Effect.' The former means that the sanction diminishes DPRK trade with Japan while the latter refers to the effects on DPRK trade with other countries as well. The third country effect can arise not simply because the DPRK changes its trade routes to circumvent the sanction, but because the sanction forces the DPRK to readjust its major trade items and patterns. Second, currently no official DPRK trade statistics are available. Thus, the so-called mirror data referring to DPRK trading partners' statistics should be employed for the analysis of the sanction effects. However, all currently available mirror data suffer from three fundamental problems: 1) they may omit the real trade partners of the DPRK; 2) they may confuse ROK trade with DPRK trade; 3) they cannot distinguish non-commercial trade from commercial trade, whereas only the latter concerns Japan's sanction. Considering those problems, we have to adopt the following method in order to reach a reasonable conclusion about the sanction effect. That is, we should repeat the same analysis using all different mirror data currently available, which include KOTRA, IMF and UN Commodity Trade Statistics, and then discuss only the common results from them. Third, currently available mirror data make the following points. 1) DPRK trade is well explained by the gravity model. 2) Japan's sanction has not only the sanction country effect but also the third country effect on DPRK trade. 3) The third country effect occurs differently on DPRK export and import. In case of export, the mirror statistics reveal positive (+) third country effects on all of the major trade partners of the DPRK, including South Korea, China and Thailand. However, on DPRK import, such third country effects are not statistically significant even for South Korea and China. 4) This suggests that Japan's sanction has greater effects on DPRK import rather than its export. Fourth, as far as DPRK export is concerned, it is possible to resolve the abovementioned fundamental problems of mirror data and thus reconstruct more accurate statistics on DPRK trade. Those reconstructed statistics lead us to following conclusions. 1) Japan's economic sanction diminished DPRK's export to Japan from 2004 to 2006 by 103 million dollars on annual average (Sanction Country Effect). It comprises around 60 percent of DPRK's export to Japan in 2003. 2) However, for the same period, the DPRK diverted its exports to other countries to cope up with Japan's sanction, and as a result its export to other countries increased by 85 million dollars on annual average (Third Country Effect). 3) This means that more than 80 per cent of the sanction country effect was made up for by the third country effect. And the actual size of impact that Japan's sanction made on DPRK export in total was merely 30 million dollars on annual average. 4) The third country effect occurred mostly in inter-Korean trade. In fact, Japan's sanction increased DPRK export to the ROK by 72 million dollars on annual average. In contrast, there was no statistically significant increase in DPRK export to China caused by Japan's sanction. 5) It means that the DPRK confronted Japan's sanction and mitigated its impact primarily by using inter-Korean trade and thus the ROK. Fifth, two things should be noted concerning the fourth results above. 1) The results capture the third country effect caused only by trade transfer. Facing Japan's sanction, the DPRK could transfer its existing trade with Japan to other countries. Also it could change its main export items and increase the export of those new items to other countries as mentioned in the first result. However, the fourth results above reflect only the former, not the latter. 2) Although Japan's sanction did not make a huge impact on DPRK export, it might not be necessarily true for DPRK import. Indeed the currently available mirror statistics suggest that Japan's sanction has greater effects on DPRK import. Hence it would not be wise to argue that Japan's sanction did not have much impact on DPRK trade in general, simply using the fourth result above.

• Journal of Fashion Business
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• v.22 no.1
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• pp.100-113
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• 2018

From the late 17th to the early 18th century, Europeans were strongly intrigued by products from the East. Therefore, several countries like England, France, and Netherlands formed the 'East India Company' to pursue trade. First, European markets rapidly responded to this desire for exoticism by importing goods; then, they produced imitation Oriental goods. Finally, they made stylistically advanced exotic merchandise from the perspectives of European. In terms of the textile industry, this trend was expressed in the pattern design of silk, or the so called 'bizarre silk.' In this paper, bizarre silk patterns were scrutinized based on a digital archive of museums, catalogues of museums, portal sites, and the literature. The bizarre silk patterns were analyzed then classified into six categories: pseudo-Oriental plant pattern, pattern mingled with architectural motifs, pattern of juxtaposed with Oriental goods, abstract pattern, exuberant pattern with metal threads, and semi-naturalistic pattern. These patterns were characterized according to the following features: strangely large exotic floral patterns were undulating and asymmetrical; exotic foliage and flowers were sometimes mixed with architectural motifs or Oriental goods to easily show the Oriental influence; motifs of bizarre silk patterns were abstractly stylized; bizarre silk patterns became luxurious once more like the Baroque period; finally, floral patterns became more natural, and still exotic motifs remained in the background to maintain the bizarre silk features. These bizarre silk patterns evolved from the viewpoints of Europeans through acceptance stage, compound stage, and confluent stage.

• Journal of Fashion Business
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• v.24 no.1
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• pp.1-14
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• 2020

Based on the trend of pluralization and globalization the collapse of national borders now is a manifestation of mixed and compromised cultures and societies. It is also emerging as a hybrid fashion in fashion. Hybrid fashion means creating a new image by mixing various cultures beyond the time and space. This study aims to analyze the current state of Chinese fashion design and present its direction by grasping the characteristics of hybrids in the works of rising Chinese fashion designers in the era of pluralization. The research method was literature review and empirical research. According to the selection criteria of new fashion designers, 6 new fashion designers of 5 fashion brands were selected and their total 458 points works were analyzed. The analysis results are as follows. First, most of the time trade-offs were 'past and present' trade-offs that express Chinese traditional culture and the image of the past with modern design. The trade-offs between 'present and future' is expressed by mixing print patterns, colors and light with fractal art. Second, spatial trade-offs was expressed in the way of expressing Chinese themes in the composition of western clothing, expressing the Western themes in oriental colors, and inspired by Japanese culture expressed by deconstructionism, Third, the gender mix mainly used dark embroidery on women's clothing, while the men's wear showed a delicate feminine charm with a surreal pattern on thin and transparent gauze fabric.

• Korea Trade Review
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• v.46 no.5
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• pp.65-81
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• 2021

The technological development in the era of the 4th industrial revolution is changing the paradigm of various industries. Various technologies such as big data, cloud, artificial intelligence, virtual reality, and the Internet of Things are used, creating synergy effects with existing industries, creating radical development and value creation. Among them, the logistics sector has been greatly influenced by quantitative data from the past and has been continuously accumulating and managing data, so it is highly likely to be linked with big data analysis and has a high utilization effect. The modern advanced technology has developed together with the data mining technology to discover hidden patterns and new correlations in such big data, and through this, meaningful results are being derived. Therefore, data mining occupies an important part in big data analysis, and this study tried to analyze data mining techniques that can contribute to the logistics field and common logistics using these data mining technologies. Therefore, by using the AHP technique, it was attempted to derive priorities for each type of efficient data mining for logisticalization, and R program and R Studio were used as tools to analyze this. Criteria of AHP method set association analysis, cluster analysis, decision tree method, artificial neural network method, web mining, and opinion mining. For the alternatives, common transport and delivery, common logistics center, common logistics information system, and common logistics partnership were set as factors.

• International Area Studies Review
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• v.15 no.1
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• pp.3-30
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• 2011

When the European Union countries (EU27) are viewed as the composition between the old member countries (EU15) and the new member states (NMS12), the statistics exhibit that the EU15 is the largest trade partner of the NMS12. According to the Korea-EU FTA agreement, the existing patterns of trade among the EU15, the NMS12, and Korea may create not only the increase in trade opportunity between the NMS12 and Korea, but also the higher rivalry threat on export from the NMS12 to the EU15 destination due to the potential increase in export from Korea to the EU15 market. This research examines in both potential impacts at the 3-digit level of SITC Rev.3 industry, in the point of view of the NMS12. Various conventional trade indices are employed in the study. However, the existing trade index exhibits the limitation for measuring the different degree of rivalry threat on exports of two different exporters in the same export destination. Hence, this study develops a new trade index, the so-called Rivalry Threat Index (RTI), to measure the export competition between the NMS12 and Korea in the EU15 destination. The results indicate that from the point of view of the NMS12, the EU-Korea FTA agreement may cause Korea acts as a trade partner and as an export competitor simultaneously.