• Journal of Navigation and Port Research
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• v.40 no.5
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• pp.345-351
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• 2016

This study presents a system dynamics methodology to evaluate quantitatively the effect of the Korean government's development policy, such as tax reductions, on the industrial economy. System dynamics is often perceived as an optimized means to identify the dynamic inter-relationships among various factors of development policies, and in particular the industrial characteristics and uncertainties of the coastal shipping industry. The results of simulations used in this study shows that the impact of development policies such as tax reductions would increase shipping demand for about 4 years, and that tax incentives could raise the demand volume for cabotage cargo from 5.26 to 11.11%, through the available freight-down by 90~95% points. The system dynamics approach used in this paper represents an initial attempt to use this methodology in studies of the coastal shipping industry. On the basis of our simulations, the industrial effects of other development policies, such as ship financing support, investment of social overhead, or crew supply, could also be analyzed effectively. Additionally, it should be possible to extend these results by developing a comprehensive model encompassing these various analyses.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.48
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• pp.101-125
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• 2010

CEPA(Comprehensive Economic Partnership Agreement, hereinafter CEPA) between India and Korea may influence some changes on Korean pharmaceutical industry which shows less competitive advantages than Indian industry in many regards. So the purpose of this paper remains on suggesting the way of enhancing international competitiveness for Korean industry on the basis of double diamond model. Through the comprehensive and deep analysis, our findings on recommendable business strategies for Korea are as follows ; in terms of factor conditions, first, cooperative strategy in R&D for developing generics will be required. Second, Introduction of CMO business can be considered. In terms of demand condition, Korean firms should find out the chance for demand creation in Indian market which has future market potential and American market exploration, as soon as possible. With regards to strategy, structure and competition, trying M&A with leading Indian companies and utilizing well organized medical professionals in India will be considered. In the points of related and supportive parts, lastly, Korean government should try to make so called "National Strategic R&D committee" for pharmaceuticals and bring u-healthcare service to Korea in the first place. If Korean pharmaceutical industry implement above-mentioned strategies, CEPA can be turned into business opportunities from the crisis. As a result, Korean firms shall have more powerful global competitiveness eventually.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.5
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• pp.1148-1164
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• 2013

The purpose of this study was to inquiry of perception on outcomes and challenges of vocational education division CSAT by industry department teachers of specialized vocational high school. Therefore, it is highly desirable that researchers to survey what are the biggest outcomes of vocational education division CSAT and positive ripple effects of outcomes, what are the biggest challenges of vocational education division CSAT and importance of challenges undertaken 10 years. The survey included 100 industry department teachers of specialized vocational high school on 9 region from Korea. The analysis of survey results was by regions, industry department teacher's career of specialized vocational high school. The results are as follows. The biggest outcomes of vocational education division CSAT was extension of opportunity on continuing education and supply a demand for entrance university on specialized vocational high school students. The biggest positive ripple effects of the outcomes was also extension of opportunity on continuing education and supply a demand for entrance university on specialized vocational high school students. The biggest challenges of vocational education division CSAT and importance of challenges was not to use vocational education division CSAT score for the entrance on the most universities.

• IE interfaces
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• v.13 no.4
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• pp.658-667
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• 2000

Seasonal variation of natural gas demand coupled with rigid and stable import pattern of gas represents the characteristic feature of the Korean Liquified Natural Gas(LNG) industry. This attribute has required a huge amount of investment for the construction of storage facility. Thus, to minimize the supply cost, it is legitimate to reduce storage requirement itself. In this study, we combine three alternative methods to deal with the storage requirement to minimize the supply cost. Those are (1) adding additional storage tanks, (2) inducing large firm customers, and (3) constructing gas-turbine self generation facilities. Methodologically, we employ the mixed integer program (MIP) to optimize the system. The model also consider demand and price-setting scheme in separate modules. From the results, it is shown that if alternatives are combined optimally, a number of storage tanks can be reduced substantially compared with the original capacity plan set by the industry authorities. We perform various sensitivity analyses to check the robustness of the results. The methodology presented in this study can be applied to the other physical network industry, such as hydraulics. The empirical results will shed some light on the rationalization of capacity planning of the Korean natural gas industry.

• Korea Trade Review
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• v.41 no.2
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• pp.185-202
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• 2016

Interests in renewable energy have been increasing with low-carbon policy and concerns about radioactivity. And solar energy is receiving attention as the most realistic energy in the industry. Demand for solar energy was started in Germany and European countries, and further expanding to other countries. And Korea became one of the high technology level countries in that industry. So, systematic analysis is needed for trading fact and overseas expansion of Korea's photovoltaic energy together with increased demand in the world. In this paper, we analyzed panel data for 25 years, from 1990 to 2014 from 11 countries that have track record with Korea's PV product. It is conducted based on Gravity model and matched with general report for Korean PV industry. But it shows different result for other factors.

• Journal of Biosystems Engineering
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• v.38 no.4
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• pp.248-254
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• 2013

Purpose: This study was performed in order to obtain basic data for policy development and R&D to sharpen competitiveness in domestic agricultural machinery industry by analyzing the recent status of demand and supply for tractor, rice transplanter(riding type), and combine. Methods: Basic data from 199,275 units of tractor, rice transplanter (riding type), and combine was offered by the National Agricultural Cooperative Federation and Korea Agricultural Machinery Industry Cooperative. Those agricultural machines were supplied by the government's loan support from 2003 to 2012. Results: Recent supply of tractor is only 13,000 units or so per annum, thereby being stagnated. Rice transplanter and combine in 2012 corresponded to 3,810 units and 2,490 units, respectively. The domestic market share of the imported agricultural machinery accounted for 60.0% in tractor, 99.5% in saddle rice transplanter, and 80.9% in combine, thereby having been sharply increased 33.1%p, 42.0%p and 53.6%p compared to the ones in 2003. Life spans of tractor, combine and saddle rice transplanter are 3.7, 3.7 and 4.2 years, respectively. Among the discontinued models, the one less than 300 units supplied was occupied up to 70~85%. Conclusions: The domestic demand and the export expansion are needed through developing a model of agricultural machinery of having competitiveness to domestically activate agricultural machinery industry.

• Resources Recycling
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• v.23 no.3
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• pp.51-60
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• 2014

In this study, the domestic supply & demand of the raw materials of 35 rare metals was analyzed categorized as four types - ores, metals, compounds and scraps. Foreign trade volumes of the raw materials of rare metals have been steadily increased, furthermore, recently trade growth rate highly exceeds GDP. The raw materials of rare metals - silicon, nickel, molybdenum, manganese, etc. - for steel industry were the most big part of the raw materials of rare metals trade, while the raw materials of rare metals for electronics industry were imported relatively small volumes less than $100 million. However systematic supply & demand management on the raw materials of rare metals for electronics industry is needed since recently growth rate per year has been remarkably high over 20%. Import volumes were about three times bigger than export scale, and most of the raw materials of rare metals were traded as a metal form.

• Journal of Korea Port Economic Association
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• v.39 no.2
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• pp.195-204
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• 2023

In this study, the causes of the boom in the container shipping industry pointed out by the media were analyzed. As a result of the analysis, it was found that on the supply side, shipping companies mooring ships in response to IMO environmental regulations caused a rise in freight rates due to 'ships that could not be operated' even if demand increased. In terms of demand, it was determined that the claim that social distancing promoted purchases and increased demand was somewhat unfounded. The reason is that the relationship between social distancing and rising fares is weak.

• The Journal of Bigdata
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• v.9 no.1
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• pp.31-47
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• 2024

With the advancement of artificial intelligence, the travel and hospitality industry is also adopting AI and machine learning technologies for various purposes. In the tourism industry, demand forecasting is recognized as a very important factor, as it directly impacts service efficiency and revenue maximization. Demand forecasting requires the consideration of time-varying data flows, which is why statistical techniques and machine learning models are used. In recent years, variations and integration of existing models have been studied to account for the diversity of demand forecasting data and the complexity of the natural world, which have been reported to improve forecasting performance concerning uncertainty and variability. This study also proposes a new model that integrates various machine-learning approaches to improve the accuracy of hotel sales demand forecasting. Specifically, this study proposes a new time series forecasting model based on XGBoost that selectively utilizes a local model by clustering with DTW K-means and a global model using the entire data to improve forecasting performance. The hotel demand forecasting model that selectively utilizes global and regional models proposed in this study is expected to impact the growth of the hotel and travel industry positively and can be applied to forecasting in other business fields in the future.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.4
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• pp.57-66
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• 2013

Domestic PCB industry formed by orders of demand companies is extremely vulnerable in its innovation infrastructure including high value-added technology development and information exchange. The majority of PCB products produced in the country relies on the imports from abroad and it causes its vulnerability to external market changes. Due to the negative perceptions about the industry (e.g., 3D job), low treatment (especially SMEs) and expertise employment avoidance in PCB industry, the job market conditions of PCB industry is not so good. In these circumstances, the PCB industry is completely dependent on the demand market such as cellular phones, and tablet PC, and as a result the responsiveness of PCB industry to the changes in demand market is also vulnerable. In this PCB industry, Korean government is trying to build the research infrastructure for PCB industry that realizes the sharing of information among companiesthrough the operation of the PCB industry innovation forum (information innovation), builds SME suppot platform and supports quality improvement (technology innovation), and supports enterprise collaboration processes (material-process-equipment) utilizing PCM open laboratory. The PCB industry technology infratstructure project is going to be promoted by the government(1.3 billion won, each year) and the private investmen(434 million won each year) from 2013 to 2017(5 years project)(table 1). This study analyzes the feasibility of the project, by using the AHP analysis and the results shows that this project is considered feasible because the AHP overall score is evaluated as 0.841, the overall score is greater than or equal to 0.55.