• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.3146-3152
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• 2014

This paper investigates the determinants for the controlling power and the concentration of the subcontracting trade between the downstream producer and the upstream supplier using a survey data for the IT industry in Gyeonggi-Do. The estimation results of the ordered logit and least square analyses are as follows. First, a firm. s controlling power across the downstream producer and the upstream supplier in the subcontracting trade would grow bigger when the company is bigger, more manufacture-oriented, and has higher ratio of export in sales. Second, the analysis for the upstream suppliers indicates that the higher dependent ratio of the subcontracting trade in the sales, the lower the concentration ratio of the R&D in the sales. Lastly, the analysis of the downstream producers indicates that the higher the dependent ratio of the subcontracting trade in the sales, the higher the concentration ratio of the R&D in the sales, which is distinctively contrast with the analysis result of the upstream suppliers. The overall estimation results are, hence, unsupporting to the transaction cost theory which predicts the increase of R&D investments in both downstream producer and upstream supplier.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.172-179
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• 2019

Recently, design automation of installation drawings and design elements has been required in the elevator industry. This is recognized as an important role in securing adaptability on site, reducing design errors, and enhancing export competitiveness. However, in case of a small company doesn't have enough resources to develop the program, and it is difficult to develop a design automation program. Therefore, it is necessary to have an automatic drawing generation program that enables small companies to easily invest and use, while allowing users to concentrate on productive tasks. In this paper, we propose an automatic drawing generation program using parametric coding technique. This program is linked with the web service and automatically creates the drawing when the user enters the site information on the web. This is useful for elevator installation and maintenance due to reduced drawing time for elevator drawings.

• Journal of Ginseng Culture
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• v.4
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• pp.1-12
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• 2022

Ginseng and ginseng products are distributed in approximately 190 countries around the world. The size of the ginseng market varies by country and there are no accurate statistics on production and distribution amounts per country. Therefore, it is difficult to make predictions about the global ginseng market. Governments and ginseng trading companies are in need of comprehensive data that shows the current status of the ginseng market to help them establish effective import, export, and sales and marketing policies. To addressthis need, this study examines the approximate size of the world ginseng market based on estimates of recent quantities of ginseng distributed in specific country as well as production by major ginseng producing countries. In 2018, global ginseng production was about 86,223 tons based on fresh ginseng. China produced 50,164 tons, South Korea 23,265 tons, Canada 11,367 tons, the US 1,285 tons, Japan 30 tons, and other countries a combined 112 tons. The value of global ginseng production is estimated to be approximately $5,900 million, with $2,870 million (48.6%) in China, $2,489 million (42.2%) in South Korea, $478 million (8.1%) in Canada, $54 million (0.9%) in the USA, $4 million (0.1%) in Japan, and $5 million (0.1%) in other countries. The value of ginseng products consumed for the last five yearsin South Korea was $1,162 million in 2014, $1,280 million in 2015, $1,548 million in 2016, $1,638 million in 2017, and $1,762 million in 2018, showing that the market has been increasing in recent years. In particular, the Korea Ginseng Corporation (KGC), the biggest global ginseng company in South Korea, recorded sales of $1,207 million in 2018. This represents about 69% of the South Korean ginseng market, and about 20% of global production. Since interest in alternative medicine and health food among consumers is increasing globally, the market for ginseng is expected to expand into the future.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.83-102
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• 2021

The government recently announced various policies for developing big-data and artificial intelligence fields to provide a great opportunity to the public with respect to disclosure of high-quality data within public institutions. KSURE(Korea Trade Insurance Corporation) is a major public institution for financial policy in Korea, and thus the company is strongly committed to backing export companies with various systems. Nevertheless, there are still fewer cases of realized business model based on big-data analyses. In this situation, this paper aims to develop a new business model which can be applied to an ex-ante prediction for the likelihood of the insurance accident of credit guarantee. We utilize internal data from KSURE which supports export companies in Korea and apply machine learning models. Then, we conduct performance comparison among the predictive models including Logistic Regression, Random Forest, XGBoost, LightGBM, and DNN(Deep Neural Network). For decades, many researchers have tried to find better models which can help to predict bankruptcy since the ex-ante prediction is crucial for corporate managers, investors, creditors, and other stakeholders. The development of the prediction for financial distress or bankruptcy was originated from Smith(1930), Fitzpatrick(1932), or Merwin(1942). One of the most famous models is the Altman's Z-score model(Altman, 1968) which was based on the multiple discriminant analysis. This model is widely used in both research and practice by this time. The author suggests the score model that utilizes five key financial ratios to predict the probability of bankruptcy in the next two years. Ohlson(1980) introduces logit model to complement some limitations of previous models. Furthermore, Elmer and Borowski(1988) develop and examine a rule-based, automated system which conducts the financial analysis of savings and loans. Since the 1980s, researchers in Korea have started to examine analyses on the prediction of financial distress or bankruptcy. Kim(1987) analyzes financial ratios and develops the prediction model. Also, Han et al.(1995, 1996, 1997, 2003, 2005, 2006) construct the prediction model using various techniques including artificial neural network. Yang(1996) introduces multiple discriminant analysis and logit model. Besides, Kim and Kim(2001) utilize artificial neural network techniques for ex-ante prediction of insolvent enterprises. After that, many scholars have been trying to predict financial distress or bankruptcy more precisely based on diverse models such as Random Forest or SVM. One major distinction of our research from the previous research is that we focus on examining the predicted probability of default for each sample case, not only on investigating the classification accuracy of each model for the entire sample. Most predictive models in this paper show that the level of the accuracy of classification is about 70% based on the entire sample. To be specific, LightGBM model shows the highest accuracy of 71.1% and Logit model indicates the lowest accuracy of 69%. However, we confirm that there are open to multiple interpretations. In the context of the business, we have to put more emphasis on efforts to minimize type 2 error which causes more harmful operating losses for the guaranty company. Thus, we also compare the classification accuracy by splitting predicted probability of the default into ten equal intervals. When we examine the classification accuracy for each interval, Logit model has the highest accuracy of 100% for 0~10% of the predicted probability of the default, however, Logit model has a relatively lower accuracy of 61.5% for 90~100% of the predicted probability of the default. On the other hand, Random Forest, XGBoost, LightGBM, and DNN indicate more desirable results since they indicate a higher level of accuracy for both 0~10% and 90~100% of the predicted probability of the default but have a lower level of accuracy around 50% of the predicted probability of the default. When it comes to the distribution of samples for each predicted probability of the default, both LightGBM and XGBoost models have a relatively large number of samples for both 0~10% and 90~100% of the predicted probability of the default. Although Random Forest model has an advantage with regard to the perspective of classification accuracy with small number of cases, LightGBM or XGBoost could become a more desirable model since they classify large number of cases into the two extreme intervals of the predicted probability of the default, even allowing for their relatively low classification accuracy. Considering the importance of type 2 error and total prediction accuracy, XGBoost and DNN show superior performance. Next, Random Forest and LightGBM show good results, but logistic regression shows the worst performance. However, each predictive model has a comparative advantage in terms of various evaluation standards. For instance, Random Forest model shows almost 100% accuracy for samples which are expected to have a high level of the probability of default. Collectively, we can construct more comprehensive ensemble models which contain multiple classification machine learning models and conduct majority voting for maximizing its overall performance.

• Journal of Plant Biotechnology
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• v.42 no.2
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• pp.71-76
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• 2015

Developed countries have set seed industry as a new growth engine, which demands strong support from the government. Multinational seed companies such as Monsanto and DuPont have made huge financial investment to secure their major roles in the global market. To spur domestic seed industry performance, Korean government laid out the foundation for developing seed industry through policy promotion in the late 2000s. In this paper, I look at the current state of the domestic and international seed market to provide information for improving the efficiency of the propulsion of the Golden Seed Project (GSP) along with its vision. The increasing size of global giant companies has been regarded to monopolize the world seed industry wherein ten renowned companies occupy 73% of the overall global market. In effect, this causes a price hike due to limited seed choices. Domestic seed market has been stuck in a range due to a sustained low agricultural production resulting in decreased seed demand and market size. Though breeding technologies for rice and vegetables are world-class, the technologies for top global crops such as cabbage, paprika, and forage are insufficient therefore professionals in this field are not easily employed. Moreover, there is a lack in appropriate infrastructure set up in the universities which adds to ineffective training of professionals. Being a key-supporting industry for agriculture, seed industry should be granted with strong and sustainable investment support from the government. In view thereof, GSP, which started in 2012, ambitions to spur researches outlined by excellent professionals in universities and seed companies aimed to drive seed export volume and quality and attain domestic seed self-sufficiency through adoption of export- and import-substitution seed types (10 varieties each) development strategies. To develop Korea's seed industry excellent achievement of GSP's goals should be drawn successfully and to do this beside development of high quality seeds, support programs for promotion of seed exports are also needed.

• Cartoon and Animation Studies
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• s.43
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• pp.47-75
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• 2016

This study has analyzed the history of the subcontract animation in Korea that began with Golden Bat of TBC Animation Division in 1966 to 1980s and shed the light on the history of subcontract animation that has been processed over 30 years in Korean animation. For this purpose, through the outlined status of subcontract animation, such as, production company, production status, scale of industry and so forth, the status of the OEM industry then has been checked and it links the solidified background of animation into subcontract production industry with the situation in time for analysis. In addition, on the basis of the foregoing, it is intended to broaden the horizon of the history of animation through the analysis on new search for facilitating the creative animation by overcoming the issues and limits generated by the subcontract animation industry. 1970s was the time that the national objective is to advance heavy-chemical industry and export-led economic growth. From the late 1970s, the animation has been spot lighted as the main-stream export industry through the overseas subcontract orders for animation. Expansion of the subcontract animation production has been influenced from the national policies on public culture, dispersion of color TV, facilitation of video production market and other media changes of the time that led the decline of animation audiences in theaters, and another cause would be in lack of platform of broadcasting companies that avoided the independent animation production for its economic theory. The subcontract animation industry may have the positive evaluation in the aspect of expanding the animation environment, such as, structuring of animation infra, development of new human resources and etc. However, the technology-incentive 'production'-oriented advancement has created distorted structure in advancing the professional human resources due to the absence of 'pre-production' of planning and others as well as the insufficient perception on 'post production (post work)', and it was unable to formulate domestic market by re-investing the capital accumulated for OEM industry into the production of creative animation and it has been assessed as negative aspect. Animation is a cultural and spiritual product of a country. Therefore, the systematic support policy for the facilitation of the creative animation, such as, development of professional human resources, creation of outstanding work, formation of market to make the pre-circulation structure and so forth has to be sought. However, animation is an industry, but there is no perception that it is a cultural industry based on the creativeness, not hardware-oriented manufacturing business. Such a lack of recognition, there was no policies to make the market and facilitate the creative animation by the animation of Korea for this period through the long-term plan and investment for independent work production. Such an attempt is newly begun through diverse searches for protection and advancement of creative animation in Korea after 1990s.

• Journal of the Korean association of regional geographers
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• v.2 no.2
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• pp.133-157
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• 1996

Recently, international convention competition has greatly expanded with the globalization and expand of world economy. As the conventions market has grown, so have the number of places and facilities of convention competing for business, and numerous trade show and the related meetings held the several cities toward world city such as the United States, Europeans Countries, Japan, and Singapore. Convention, in general, are defined as an assembly, often periodical, of members or delegates, as a political, social, professional or religious group. Convention center means the place that hold several social, political, economic conferences and meetings, trade show, exhibitions, and events. Convention center are consisted the several facilities such as meeting room, exhibition hall, event hall. Historically, meetings, conventions, and trade show have been serviced primarily by hotel and convention centers. With the expand of world trade and flow in recent, the conventions, expositions, and meetings industry (CEMI), however, is one of the most rapidly growing industries in hospitality and tourism, and CEMI provides import effect on regional economy and regional development including regional tourism industry. This study focuses on the establishment strategies and location analysis of convention center as a agent for regional development in a case of Yosu Peninsular Area (YPA). YPA is one of the major industrial area of our country, and displays the rapid regional urbanization and social change with the construction such as Kwangyang container port facilities, Yulchon industrial complex, and the extension planning of industrial estate related to Kwangyang Iron and Steel Company, and population size of this area will be reached about two million peoples in 2011. This area, particularly, will be functioned as a major container & export port of our country after the completion of Kwangyang container port facilities in 1988. If the planned industrial estate is constructed, the convention center for conference exhibition, information exchange, and resort facilities for exhibition, international communication will be needed. In addition, resort and leisure facilities for conventions' participants need. This area, therefore, has to make the establishment of convention center for regional development in future. Thus, the major strategies and idea for establishment of convention center as follows: first, this area has requirements for resort convention center, because this area will be functioned as a major export port and industrial district in 21 century; second, in the location analysis of convention center site, Sinwol & Woongchon district, Soho district, and Yongju & Hodu district are selected as developing possible sites; third, the convention center of this area has to consist of two functions such as convention facilities and marine resort facilities; fourth, in order to establish convention center, the selection of main group, financial raising strategies, and the organization of propulsion committee for establishment of convention center are required.

• Journal of Navigation and Port Research
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• v.40 no.6
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• pp.459-468
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• 2016

The decreasing number of import and export containers is causing a problem with container circulation. In particular, this problem has reached a serious level in the Gyeongin area. Empty containers are accumulating in the Gyeongin container yard, where most of the returned containers are stored. In order to improve the empty container return problem at Gyeonhin, this study analyzes the actual situation and the empty container return process. A preference survey was conducted to suggest solutions from the perspective of users rather than shippers. A logistics company's data was analyzed to identify the inefficient cost structure in the Gyeongin area. The results show that the empty container return problem in Gyeongin is becoming more and more serious. To solve this problem, this paper proposes reestablishing functions at the Incheon Port, and securing a third new storage terminal in the Gyeongin area. Finally, an efficient empty container circulation system is presented. It will also be necessary to prepare laws and institutions to ensure these solutions.

• Journal of Korea Technology Innovation Society
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• v.20 no.3
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• pp.805-836
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• 2017

China has become the group of two (G2) in almost fields including the scientific technology following the economic growth and joining the WTO in 2001. The main reason is that the government had strong intention for the industrialization of the scientific technology and connected the scientific technology and the economy. Typically, for analyzing the cause of the meteoric rise of China, the competitiveness of the scientific technology was analyzed by the entire score of the nation. However, in the case of China, there are differences in the pattern of the development between the eastern, central, and western province. Also, the industrialization and the competitiveness of the scientific technology are difference because each province established the decentralization of power. Therefore, it is more meaningful to analyze the main factors of Chinese economic growth on a province unit. In this study, therefore, we analyzed the competitive of R&D in China by 124 indexes in 31 areas. The data was analyzed by Partial least squares regression analysis. In conclusion, the scale of the area and the ability of R&D of the company are very important factors for total amount of production in the area. And the journals, patents, the transfer of technical know-how and the investment of R&D are main factors of the amount of export on the high-tech product. According to these results, the factors which make the difference in the industrialization and the competitiveness of the scientific technology in China were analyzed. Finally, it will be helpful to establish the policy for the development of the industrialization and the scientific technology in Korea.

• Journal of Korea Port Economic Association
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• v.29 no.2
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• pp.137-157
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• 2013

Korean shipping industry is ranked the fifth largest in the world in terms of deadweight tonnage after Greece, Japan, Germany and China with 55 million DWT as of year 2011, and its size of foreign exchange earning marked 30 billion US dollars. In respect of volume of seaborne trade, it has handled 99% of import and export cargoes. Korean shipping fleets have increased from 420 to 979 ships between year 2003 to year 2011. By reviewing through the relating literatures, it has been found that Shipping Funds under Ship Investment Company Act, and Tonnnage Tax System, worked as positive influences to increase the Korean shipping fleets. However, there is scant of research to examine the following two points: 1) weighing the decision making factors of ship investments for Korean shipping companies, and 2) weighing the influential factors of government shipping policies. In this respect, the aim of this study is to evaluate 8 decision making factors of ship investments for Korean shipping companies, and 8 influential factors of government shipping policies. For weighing the factors, the fuzzy methodology was adopted. As the results, for the side of decision making factors of ship investments, 'shipping market conditions and future prospects', 'ship's price and future prospects, and 'securing cargoes and future prospects' are ranked as top 3 factors. For government shipping policies side, 'shipping finance provided by lease companies', 'establishment of Korea Shipping Guarantee Fund', and 'establishment of Korea Shipping Finance Corporation' are verified as the important factors.