• International Commerce and Information Review
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• v.15 no.3
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• pp.313-332
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• 2013

Large tundra of the Russian Empire, has rich resources and science and technology, and a huge domestic market potential is rapidly changing. Based on the abundant energy resources such as oil, gas, and minerals, as foreign trade is active, the huge capital is moving. And commitment the active SOC by improving laws and regulations and changes in the structure of the Russian economy. One of them pushed the WTO since 1993, 19 years to see fruition join the WTO (World Trade Organization). As the official entry into force August 22, Russia, July 10, 2012, Congress passed the treaty after joining the WTO and of the 156th WTO member countries, was officially join. As the WTO, Russia has the world's 11th-largest economy in the steel tariffs from 30% to 15% are exported to Russia, South Korea Car TV parts from 10% to 0%, reduced from 20% to 5% Korean export companies to export to Russia, etc., is expected to become the new land of opportunity. Russia hopes the changes improve the investment environment, the service industry, manufacturing revitalization the macroeconomic sectors of the economy through the WTO, and forecast, but the consumption increased revenue due to tariff cuts, falling import prices and the real economy, and weak manufacturing base. On the one hand, the perspective of concern. In conclusion, Russia joining the WTO, and the feed to improve the fairness and transparency of the market opening, the Russian advance in Korean companies be facilitated and strong complementary cooperation, especially in manufacturing is expected. In this paper, after Russia joining the WTO, trade liberalization, and ready for a new era of economic cooperation between Korea and Russia, at the point of expanding openness to propose strategies to analyze the problems of Korean companies during the Russian advance.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.4 no.3
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• pp.39-54
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• 2009

As of July, 2009, Chungnam Province get DI (Direct Investment) of 2,502 corporations as the amount of 31 billion US dollars only for 3 years. Especially, Chungnam provincial governor make a excessive performance of 2.5 times comparing to the target number, 1,000 of inviting capital, that is public promise in the election. Now, the amount of inviting foreign capital is 1.2 billion dollars, at the end of this year it might be 1.4 billion dollars just in case of making a success on going negotiations. This outstanding performance comes from governor's leadership and aggressive strategies of well-trained subordinates. Chungnam Province has nation-wide multiple targets focused on interdisciplinary industries including strategic industries of display, auto-parts, steel, and oil-chemistry. Also, it has organic network system based on the very descriptive and accurate informations managing the task force team consisted of 35 competent members. In conclusion, the core competence of inviting foreign capital in a regional government is governor's strong leadership, activated organization consisted of specially well trained subordinates, and predominant differentiated strategies in details.

• Journal of Korea Port Economic Association
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• v.34 no.1
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• pp.81-98
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• 2018

Port logistics is essential for Korea's economy which heavily rely on international trade. Vast amounts of capital and time are consumed for the operation and development of ports to improve their competitiveness. Therefore, it is important to forecast cargo volume in order to establish the optimum level of construction and development plan. Itemized forecasting is necessary for appropriate port planning, since disaggregate approach is able to provides more realistic solution than aggregate forecasting. We introduce a new time series model which is Two-way Seasonality Multiplied Regressive Model (TSMR) to forecast oil cargo volume, which accounts for a large portion of total cargo volume in Korea. The TSMR model is designed to take into account the characteristics of oil cargo volume which exhibits trends with short and long-term seasonality. To verify the TSMR model, existing forecasting models are also used for a comparison reason. The results shows that the TSMR excels the existing models in terms of forecasting accuracy whereas the TSMR displays weakness in short-term forecasting. In addition, it was shown that the TSMR can be applied to other cargoes that have trends with short- and long-term seasonality through testing applicability of the TSMR.