• Journal of the Korean association of regional geographers
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• v.10 no.4
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• pp.698-712
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• 2004

As EU's enlargement toward Central and Eastern countries, it is expected to change of the economic activity space of EU. This paper aims to examine the changing of economic activity space of EU with a locational analysis of foreign direct investment in Central and Eastern countries. The foreign enterprises, particularly EU's firms are increasing the direct investment in the Central and Eastern countries from the middle 1990's for a raising of the efficiency of production and a prior occupation of the potential market. The foreign direct investment in Central and Eastern Europe has a tendency to concentrate in Poland, Hungary, Czech and Slovakia, which has relatively a large market, a cheap and plentiful labor, a stable political system and a positive inviting policy of foreign direct investment. And, the foreign direct investment shows a tendency to locate generally in a big city, which has a advantageous production factors by a well-developed infrastructure and a regional industrial organization, a skilled labors, a market, etc., and in a border area between East and West Europe because of a cheap and plentiful labor, a similar cultural environment and the low cost of transportation. In conclusion, as an integration of the Central and Eastern countries into EU, the capital territories of Hungary, Czech and Poland, and the border area between East and West Europe is becoming a new economic activity space of EU with a location of foreign direct investment. And. the Baltic zone is also expect to become a new economic activity space according to the augmentation of exchanges and direct investment inter near countries.

• Journal of the Korean association of regional geographers
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• v.13 no.6
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• pp.674-694
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• 2007

Recently private procurement projects for urban infrastructure have been emphasized and introduced by government(both central and local) as an important method to supplement public budget shortage and to improve creativity and efficiency in its construction and operation, and hence to promote regional development. But these private procurement projects seem to be implemented under the neoliberal condition of urban policy for private capital to extend its sphere of investment and to ensure its opportunity of profit. Such private procurement projects for urban infrastructure have been legislated and widely applied since 1994 in S. Korea, but in recent years they have triggered out a variety of serious problems. In results of this study on the private procurement for construction and operation of Burnan Road in Daegu, it can be pointed out, it has led serious problems such as overestimation of traffic volume in plan, over-appropriation of construction cost and appurtenant business, irYational operation and account of the operating firm, problem in refinancing and change in contents of practical agreement, and over-compensation of minimum operation revenue. Some measures that can be considered as alternatives to resolve those problems and to operate more rationally the Buman Road include those of increasing traffic revenues, of reducing supports of public financing, and withdrawal of (part or whole of) operational right from the private firm.

• Journal of Korean Society of Forest Science
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• v.32 no.1
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• pp.9-15
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• 1976

Financial rotations of Pinus koraiensis stands are calculated and compared on the basis of five basic financial maturity concepts. The rotations given by the forest rent and average annual gross revenue models are in excess of sixty years by adopting zero interest rates of capital and forest lands. IRR model also neglects land value and highly sensitive to the changes of fixed and regeneration costs. The Faustmann doctrine recommands rotation ages of 23-39 years depend upon applied interest rates and site indices, and seems to be most adequate for determining financial maturity. It is however the situation in Korea that economic conditions are changing rapidly, and thus a model which does not require many exogenous variables in calculation process is preferable. The Duerr's solution has a basic simplicity and logic which is appealing from both a theoritical and practical viewpoint, and most adaptable to the Korean situation, even though the model completly neglects the opportunity cost for forest land. There is a tendency to reduce rotation length with the increase of site quality, but the difference is negligible.

• The Journal of Fisheries Business Administration
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• v.1 no.2
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• pp.1-22
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• 1970

Our fisheries protucts industry has developed rapidly during past 10 years ; production was about twice: fihing fleets increased twice in number and 3 times in tonnage ; export was 5 times. Govermment is trying to develop deep sea fisheries in order to surmount the depression of coast fisheries. At present more than 270 deep sea fishing boats are working with superior skill to other country at the South Pacific, the Atlantic, the Indian, and the North Pacific Ocean. Our deep sea fisheries is consisted of the tuna long line and the trawler. The tuna long line of them has 230 crafts in 1969 ana the deep sea trawler has 40 crafts, too. Comparing to 1962, the number of the deep sea fishing boats has been increased highly to 54 times, 7.71 times average per year increasing rate. The rate of the tuna long line to the trawler at the end of 1969 shows 85:15, More than half of them are 100~200 (equation omitted), if we classify them according to (equation omitted) or boat craft. 70% of them has less than 5 years ships age. The Korean Marine Industry Development Corporation has more than 1/3 fishing fleets, with 91 crafts, if We consider it according to corporation. Considering it according to the financial resources, dependence upon foreign loan is as high as 88%. Catches was 74, 450 M/T ($24, 663, 000)at the end of November in 1969 and it was increased to 113.5 times in catch amount and 118 times in value, comparing to those of 1962. Considering it according to the ocean, the order is arranged to the Pacific, the Atlantic, and the Indian Ocean. The average production amount of each craft is 250~400 S/T a year. The result of export took up 1/3 of total fisheries product export with $ 22, 398, 000 at the end of november in 1969. Employee cost of fishing coast is 8% higher than other fishing. The profit is highest in our fisheries. Most of the products except the trawler fishing are sofa at the fishing grounds to the processing company, and they lose much money. They buy most of bait from Japan, giving $8~10 for 1C/S(10kg). Fish price is $390~520 according to the kind of fish for S/T at the fishing grounds, and the rapid frozen fishes brought to Japan are about $ 800 for S/T. There is much difference. in price. Problems 1. Want of self capital. 2. To get the refrigeration boats enough. 3. International Fishing Regulation. 4. To get high price and to secure consuming grounds. 5. To get home-production of bait. 6. To exploit new fishing grounds. 7. To get larger boats. 8. To get mariner enough. When the problems mentioned above are solved, the Deep Sea Fisheries of oun courtry will be developed more largely.

• Journal of Korea Technology Innovation Society
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• v.11 no.2
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• pp.241-263
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• 2008

Within any income approach, a discount rate is used to convert some projected free cash flow to its presented value. In case of valuing companies, the most frequently used discount rate is the weighted average cost of capital(WACC) at the aggregate level. But technology valuation is different to discounting aggregate corporate cash flow since it is concerned about individual Intellectual property. Therefore, blindly applying standard discount rate such as WACC in technology valuation is unlikely to lead to the right result. The primary focus of this paper is to establish the structure of discount rate for technology valuation and to suggest the method of estimation. To determine an appropriate discount rate for technology valuation, the level of technology risk, market risk and competitive risk should be included in the structure of discount rate. This paper suggests the build-up model which consists of three components as a expansion of the CAPM. It includes (1) a risk-free rate of return, (2) general market risk premium and beta and (3) intellectual property risk premium related to technology risk and specific target market risk. However, there is no specific check list for examining the intellectual property risk until now and no specific method for quantifying its risk into risk premium. This paper developed the 10 element to determine the level of the intellectual property risk and applied estimation function such as linear function, natural log function and exponential function to transform the level of risk into risk premium. The limitation of this paper is that the range of intellectual property risk premium is inferred based on the information of foreign and domestic valuation agency. Finally, this paper explored the development of an intellectual property discount rate for technology valuation and presented the method in order to quantify the intellectual property risk premium.

• Journal of Korean Society of Transportation
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• v.28 no.2
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• pp.65-75
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• 2010

When the cost-benefit analysis is applied for social discount rate(SDR), the choice of SDR to be used in analysis is critical. One of the important issues when public investment project evaluate what is the SDR theory, so there have studied about SDR and no exact answer it so far. In this study, there are three of SDR theories that be estimated social time preference rate, social investment returns and the weighted average method from 1990s, 2000 to 2003 and 2004 to 2008.. First, social time preference method computes consumer's interest rate and the model of Pearce and Ulph(1999). Second, social investment returns method computes private returns of capital. Third, the weighted average method computes the model of Squire, L., Herman G. van der Tak(1975) and private consumption expense and the private investment expense. SDR is estimated in the rage between 2.4% and 3.9% from 2004 to 2008. It is not appropriate that the interest rate was unstable. But it is consider for social equity from present to future generations. Considering this things, downward need to the value of current SDR 5.5%.

• International Area Studies Review
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• v.15 no.2
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• pp.247-273
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• 2011

This study analyzes the impacts on the M&A and greenfield of macroeconomic variables of home and host countries, after identifying current status and characteristics of the M&A and greenfield related to the entering way of Korean firms in China. Main empirical results are summarize as follows. First, as for foreign exchange variable, the decreased value of Korea won shows the negative correlations with both of the greenfield and M&A. Second, the real interest rate of Korea to measure the cost of capital is not significant statistically. Third, while the host country's stock market index, Shanghai Comprehensive Index, shows the expected negative correlations with the investment in the case of small & medium firm and light industry, it shows the positive correlations which is not consistent with general expectation in the case of large firm and heavy industry. Fourth, the openness of host country shows the positive correlations with both of the greenfield and M&A. Finally, in regard to the M&A, China's GDP to measure the market size of host country is not significant statistically while it shows the strong positive relationship with the greenfield investment.

• International Area Studies Review
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• v.20 no.2
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• pp.85-111
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• 2016

Global semiconductor companies is investing enormous capital worldwide. And direct investment in China is increasing greatly these days, Especially, global semiconductor companies are setting up a factory in China due to expanding market rather than utilizing low labor cost. Therefore, this study is trying to analyze the background and process of direct investment from global Korean and Taiwanese semiconductor companies in China. Firstly, In 1996, Samsung semiconductor established a back end process factory in Suzhou. And in 2014, Samsung semiconductor set up a front and back end factory in Xian. Secondly, In 2006, SK Hynix built a front and back end factory in Wuxi. and SK Hynix set up a back end factory named Hitech semiconductor with Chinese company in 2009. Later in 2015, SK Hynix established a back end factory in Chongqing. Thirdly, In 2004, TSMC started to operate a factory in Shanghai, and in 2018, TSMC is going to establish a factory in Nanjing. Lastly, UMC bought a stock to produce product in Chinese local company named HJT, and at the end of 2016, UMC is going to finish building a factory in Xiamen. As a result, it was proved that most companies hoped to expand the chinese market by setting up a factory in china. In addition, Samsung expected to avoid a risk by setting up a factory in china, and SK Hynix wanted to avoid a countervailing duty by setting up a factory in china. Based on the result of this study, this study indicates some implications for other semiconductor companies which are very helpful for their future foreign direct investment.

• Journal of Korea Technology Innovation Society
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• v.22 no.2
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• pp.159-185
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• 2019

Chemical industry, as one of the basis industries of the country, is characterized by converged high-end technology and large scale capital investment. In 2018, the government announced "The Strategy for Chemical Industry Development" with the vision of 'An Upgrade to the Advanced Chemical Industry'. In the meantime, the advanced chemical industry in Korea has been developed not by its own R&D, but by the upgrading of technologies and processes through the technology transfer from developed countries. The method of technology transfer was mainly achieved with international joint ventures (hereafter IJV) linked with technology transferors from developed countries. As it is necessary to grasp the determinants of the technology transfer and their importance to promote the transfers through IJVs, this relative importance analysis study was conducted by using the method of quantifying experts' opinions (AHP) on the determinants of the technology transfer of both parties. As a result of the analysis, in the Hierarchy1(PEST factors), the technology transferees focus on economic factors such as 'profitability of technology transfer' and 'cost efficiency', while technology transferors considered technical factors such as 'operational excellence (abilities to continuously improve technology process)'. In addition, transferors and transferees have different priorities for technology transfer determinants in all areas of Hierarchy 2 (sub-determinants). This suggests that Korean government or enterprise should shift the policy direction toward 'technology-oriented' when they promote advanced-technology transfer through IJVs.

• Journal of Navigation and Port Research
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• v.43 no.1
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• pp.72-78
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• 2019

The second-hand ship market provides immediate access to the freight market for shipping investors. When introducing second-hand vessels, the precise estimate of the price is crucial to the decision-making process because it directly affects the burden of capital cost to investors in the future. Previous studies on the second-hand market have mainly focused on the market efficiency. The number of papers on the estimation of second-hand vessel values is very limited. This study proposes an artificial neural network model that has not been attempted in previous studies. Six factors, freight, new-building price, orderbook, scrap price, age and vessel size, that affect the second-hand ship price were identified through literature review. The employed data is 366 real trading records of Panamax second-hand vessels reported to Clarkson between January 2016 and December 2018. Statistical filtering was carried out through correlation analysis and stepwise regression analysis, and three parameters, which are freight, age and size, were selected. Ten-fold cross validation was used to estimate the hyper-parameters of the artificial neural network model. The result of this study confirmed that the performance of the artificial neural network model is better than that of simple stepwise regression analysis. The application of the statistical verification process and artificial neural network model differentiates this paper from others. In addition, it is expected that a scientific model that satisfies both statistical rationality and accuracy of the results will make a contribution to real-life practices.