• Journal of Information Technology Services
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• v.17 no.2
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• pp.49-67
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• 2018

This study compares economic impact between Software and Medical industry through Input Output Table by Bank of Korea. We classify Software and Medical industry by The ninth Korea Standard Industry Classification and use linkage effects, value added inducement coefficient, and labor inducement coefficient to analyze economic impact. First, software and medical industry have different linkage effects between backward and forward. Second, They have higher value added inducement coefficient than average of all industry. Third, They not only have higher labor inducement coefficient than average of all industry but also simillar effect on labor induction. According to the result of this study, software and medical industry have high economic impact on Korea economy, and therefore are intensively fostered by policy support.

• Korean Journal of Oriental Medicine
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• v.10 no.1
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• pp.97-105
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• 2004

1. To define 'Korean medicine industry' through study on existing medicine related industries, Korean medicine industry means all industrial activities related to Korean medicine. It covers material resources such as herbs and products made with herbs, medical instruments, Korean medical service and related information service based on Korean medicine theories. 2. According to Korea National Statistical Office standard industrial branch, Korean medicine industry was classified as a large branch. There were industries such as agriculture, food and beverage manufacture, publishing, copy of prints and record media, manufacture of compound and chemical products, medical service, manufacture of precise optical instruments, wholesale trade and product mediation, retail trade, restaurant, research and development, education service, health preservation service, entertainment, culture and sports industry related to the Korean medicine industry. 3. If we classify this according to the industry branch of English economists Clark, Colin Grant, herb cultivating industry will be classified as primary industry, manufacture of foot and beverage related to Korean medicine, secondary industry and wholesale and retail sales of herb, research and development, education, health preservation, social welfare, tertiary industries.

• International Commerce and Information Review
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• v.10 no.2
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• pp.411-432
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• 2008

This study presents the pattern and determinants of intra-industry trade in Korea's machinery and transport equipment industry focusing the influence of foreign direct investment on intra-industry trade. Using an OLS regression model the determinants of intra-industry trade are investigated. Results indicate that a statistically significant negative relationship is found between intra-industry trade and foreign direct investment, and show that intra-industry trade is positively affected by the degree of product differentiation and export structure similarity. Intra-industry trade is also positively associated with the economies of scale, the level of trade barrier, and transportation costs, although this is not statistically significant. The study found strong evidence that the propensity of foreign direct investment toward export specialized industry makes the negative relationship between intra-industry trade and foreign direct investment.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.5
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• pp.190-197
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• 2006

China has been aware of the urgent need of developing electronic and information industry in order to improve its productivity. Since 1991, IT industry has been one of the main factors to influence China's economic growth. In the results of the efforts to develop its IT industry, China has achieved average 25% yearly growth rate of IT manufacturing industry since 1991. We will take a look at haw the main IT products' performances was, how the role of IT industry was in China economy and in China's trade and how the prospect of China IT industry will be. However, we need to know that, depending an the different areas, the environment of the China's IT industry will be quite different. In China, the east coastal area has the better environment of technology, menpower, infrastructure, and fund for the development of IT industry and the IT industry of this area is very competitive, comparing with the middle and west area.

• Asian-Australasian Journal of Animal Sciences
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• v.2 no.3
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• pp.237-238
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• 1989

• The International Journal of Costume Culture
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• v.13 no.2
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• pp.88-92
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• 2010

The purpose of this research was to understand the successful establishment of the cultural industry chain in Korea and discover lessons for China to improve its cultural industry. It was concluded that a one-industry development pattern cannot win in market competition and a cultural industry will strengthen its sustainability only through smoothing its relationship with other industries and establishing a cultural industry chain so as to further development and resist crises together.

• Food Science and Industry
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• v.44 no.4
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• pp.57-67
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• 2011

• Food Science and Industry
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• v.42 no.3
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• pp.14-19
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• 2009

• Journal of Distribution Science
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• v.12 no.6
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• pp.49-57
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• 2014

Purpose - The world now recognizes environmental disruption as a serious issue when regarding growth-oriented strategies; therefore, environmental preservation issues become pertinent. Consequently, green distribution is continuously emphasized. However, studying the prediction and association of distribution and the environment is insufficient. Most existing studies about green distribution are about its necessity, detailed operation methods, and political suggestions; it is necessary to study the distribution service industry and environmental service industry together, for green distribution. Research design, data, and methodology - ARIMA (auto-regressive moving average model) was used to predict the environmental service and distribution service industries, and the Granger Causality Test based on VAR (vector auto regressive) was used to analyze the causal relationship. This study used 48 quarters of time-series data, from the 4th quarter in 2001 to the 3rd quarter in 2013, about each business type's production index, and used an unchangeable index. The production index about the business type is classified into the current index and the unchangeable index. The unchangeable index divides the current index into deflators to remove fluctuation. Therefore, it is easy to analyze the actual production index. This study used the unchangeable index. Results - The production index of the distribution service industry and the production index of the environmental service industry consider the autocorrelation coefficient and partial autocorrelation coefficient; therefore, ARIMA(0,0,2)(0,1,1)4 and ARIMA(3,1,0)(0,1,1)4 were established as final prediction models, resulting in the gradual improvement in every production index of both types of business. Regarding the distribution service industry's production index, it is predicted that the 4th quarter in 2014 is 114.35, and the 4th quarter in 2015 is 123.48. Moreover, regarding the environmental service industry's production index, it is predicted that the 4th quarter in 2014 is 110.95, and the 4th quarter in 2015 is 111.67. In a causal relationship analysis, the environmental service industry impacts the distribution service industry, but the distribution service industry does not impact the environmental service industry. Conclusions - This study predicted the distribution service industry and environmental service industry with the ARIMA model, and examined the causal relationship between them through the Granger causality test based on the VAR Model. Prediction reveals the seasonality and gradual increase in the two industries. Moreover, the environmental service industry impacts the distribution service industry, but the distribution service industry does not impact the environmental service industry. This study contributed academically by offering base line data needed in the establishment of a future style of management and policy directions for the two industries through the prediction of the distribution service industry and the environmental service industry, and tested a causal relationship between them, which is insufficient in existing studies. The limitations of this study are that deeper considerations of advanced studies are deficient, and the effect of causality between the two types of industries on the actual industry was not established.

• Journal of National Security and Military Science
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• s.5
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• pp.241-280
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• 2007

This study examines the relationship of the industry-specific factors that effect innovation of manufacturing technology and the market share within the defense industry. Since the establishment of the basic defense industry framework in 1973, there were numerous interactions of the industry-specific factors of the defense industry structure with the technological innovation and market organization of the defense industry. During last three decades, the domestic defense industry has achieved the considerable level but the framework of the basic system has not developed much in areas of the military science and the defense manufacturing technology. Industry-specific factors were formed in the process and appeared in a variety of behavioral characteristics as subsystems. Currently, there IS a growing trend where the management of defense industry is gradually deteriorating due to limitation of the domestic industry-specific factor (e.g. defense technologies, amount of demand, etc.). If there is a prominent imbalance of the industry-specific factors. it can trigger the potential problem of conflict, lack of cooperation and control, slowing the growth of the manufacturing technology thereby diminishing the market and deteriorating the defense supply/demand relationship. In a research conducted by Joe S. Bain, Bain analyzed the relationship of the traditional industrial organization where industry-specific factor(S) not only impacts the conductor(C). And, conductor(C) influences the shaping of the performance(P) of relationship of the traditional industrial organization. Consequently, the researcher has identified the demand monopoly, barriers to entry, and market competition with comparison of defense industry issues. These defense issues were three industry-specific factors identified, which are 1) The demand monopoly and The entry barriers to new market competition, 2) the industrial technical factor to a production technical competitiveness and a market sharing competitiveness, 3) the probability factor to revolution for military affairs(RMA) and a R&D production. According to baseline with these factors, the following research model is established from the special companies group(Group A), the systematization companies group(Group B), and the general companies group(Group 0. The hypothesis is that if there are more industry-specific factors, then there will be more relationships of defense industry relation statutes. This research is an empirical study on the relationship that the industry specific factors effects the innovation of manufacturing technology and the shaping of the market in the defense industry. Moreover, the existing models to evaluate the industry specific factors of the defense industry IS much to be desired with the controlled statistical analysis of the result. It is vital to study on current situation with suggesting alternative strategy to the efficient strategy. The descriptive analysis approach analysis is conducted with SPSSWIN to conduct reliability test, factor analysis, correlation analysis, cross-tabulation analysis, one-way ANOVA, and multiple regression analysis. However, there were some limitations of the survey such as the rigidity of concept about the technical factors and various market management factors. The wishes is that the decision-maker could be utilized these defence industrial factors to formulate efficient defence policy and strategy in the future.