• Journal of Family Resource Management and Policy Review
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• v.22 no.4
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• pp.75-87
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• 2018

The purpose of this study is to identify the intention of one-person households' selection in the university students. The survey was analyzed with factor analysis, reliability, cross tabulation analysis, t-value, and regression analysis with SPSS version. 18.0. The total of 237 male and female university students participated in the survey. The results were summarized as follows. First, there were significant differences between male and female students in the important factors, problems and reasons when selection of the one-person households in the future, and the perception of one-person households. Second, gender, perception of one-person households, the importance of self-improvement, housing expenses, and family rite had significant effects on the intention of one-person households' selection. The result of the study can be used as basic data for social discussion about one-person households.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.299-311
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• 2021

The purpose of this study is to analyze the ripple effect of the Chinese education industry on the national economy by using the industry-related table of 2017 by the China Statistical Office to use it as policy data for revitalization of the Chinese education industry in the future. To achieve this purpose, 149 industries in the basic classification of the industry-related table were classified into 32 industries. Based on these classifications, by analyzing the production induction coefficient, sensitivity coefficient, influence coefficient, yield inducement coefficient, production tax induction coefficient, and labor induction coefficient, etc. The purpose of this study is to understand the relationship between different industries and to find out the economic impact of the Chinese education industry. The analysis results show that in 2017, the total production induction coefficient of China's education industry was 1.7188, the row total was 1.0626, the sensitivity coefficient was 0.01211, the influence coefficient was 0.01958, the income induction coefficient was 0.6667, the production tax induction coefficient was 0.035, and the final demand was 1 billion yuan. When this occurs, the labor induction coefficient shows a total of 31,254 persons (indirect 15,541 persons, direct 15,713 persons). Based on the analysis results, this study suggested the implications that government support, technology introduction and application of new operating models, policy regulations, and efficient supervision of the system and president are required for further development of the Chinese education industry.

• Review of Culture and Economy
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• v.21 no.3
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• pp.89-124
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• 2018

Although design industry belongs to one of the creative industries and contributes significantly to urban cultural economy based on its cluster formation, researches on design industry are rarely made explicit from the perspective of creative industry cluster. After reviewing the life cycle of design industry clusters in Euljiro and Hongdae Area in Seoul, this study compares these two clusters with respect of diverse dimensions of creative industry cluster such as agglomeration economy, spin-off activities and institutional environments. Research methodology includes the analysis of ?Seoul Business Statistics? and the in-depth interviews with 14 professional designers. The result shows that design industry cluster in Euljiro is close to the traditional industry cluster mainly dependent on printing industry with very limited impact on urban economy, while Hongdae Area develops creative industry cluster by virtue of university spin-offs, art markets, hybrid cultural consumption spaces and the active participation of designers contributing to urban economy in diverse ways. This comparative analysis highlights the importance of various environmental components to encourage creative activities in developing the creative industry cluster.

• Journal of Korea Trade
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• v.23 no.3
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• pp.20-37
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• 2019

Purpose - The purpose of this paper is to analyze the trade structure and competitiveness of China's information technology (IT) industry in comparison to that of Korea and the United States, particularly in terms of quality. Design/methodology/approach - Indices such as trade specialization index (TSI), Revealed Comparative Advantage (RCA), and Market Comparative Advantage (MCA) are used. Further, an Intra-industry Trade (IIT) index is used to analyze qualitative changes in horizontal intra-industry trade and intra-industry trade of high- and low-quality goods. Findings - China's IT industry has a comparative competitive advantage over that of Korea and the United States, and mainly exports goods of inferior quality and imports goods of superior quality. Further, China's horizontal intra-industry trade has been decreasing, while its vertical intra-industry trade has been increasing and vertical trade of inferior quality goods outweighs that of superior quality goods. This shows that China is rapidly catching up with Korea and the United States, even though its qualitative competitiveness has not significantly improved. Research limitations/implication - This study has academic and political implications, as it analyzes changes in China's IT trade competitiveness. However, it is somewhat limited as factors determining qualitative aspects has not been considered. Originality/value - Most studies aggregate analyses of export competitiveness using methodologies such as TSI, RCA, and market share. However, the focus of these methods is price competitiveness. Hence, an examination of the objective and qualitative trade competitiveness of China's IT industry is necessary. this study the trade structure and quantitative competitiveness of the industry by analyzing intra-industry trade focusing on the quality of competitiveness. Therefore, the changes in China's IT industry in the USA and Korea and in foreign trade competitiveness and quality competitiveness are clarified. The results show that the academic and policy implications of these changes in the IT industry will be a useful resource. This is the first study in Korea to attempt such an analysis. This is the first study in Korea to attempt such an analysis.

• Environmental and Resource Economics Review
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• v.14 no.2
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• pp.381-418
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• 2005

From the respect of economics, environmental industry has not defined clearly since environmental services and goods are so broad to focus. Therefore many countries are using their own version of environmental industry. Hence analysis of environmental industry is very limited. In this thesis, based on the definition of Bureau Statistical Office in Korea, economic analysis for the industrial spill effect, production effect, value-added effect has been done by using 1995, 1998 I-O tables published from the Bank of Korea. Even if portion of production from environmental industry in Korea is quite low so far, forward and backward effect has quite impact on the whole industry and show strong intermediate goods. With respect to price effect.

• Food Industry
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• s.206
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• pp.26-41
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• 2008

Recently, Korea have experienced numbers of FTAs with other countries, including Chile, EFTA(European Free Trade Association), Singapore, ASEAN(Association of South-East Asian Nations), and U.S. In particular, FTA with U.S. are expected to cause huge impact on food markets as well as agricultural sector in Korea. Many researches have analyzed and discussed about the impact on agricultural sector after Korean-U.S. FTA, but very small number of studies focus on the impact of Korean-U.S. FTA on food markets. The purpose of the paper is to discuss the impact of Korea-U.S. FTA on Korean dairy market. For the numerical simulations, this paper focus on the impact on cheese and butter markets. The results of numerical analysis in the paper will be helpful for the future research, because few (maybe no) studies conduct the numerical analysis to measure the impact of Korea-U.S. FTA on Korean food market.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.369-379
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• 2022

With the deepening integration of technology and cultural industries, China's digital cultural industry has begun to rise. The digital culture industry has met new demands for cultural consumption and brought new experiences to consumers in the digital economy era. This paper uses the public data of 36 Chinese A-share listed companies in digital culture from 2018 to 2019 to construct a technical innovation efficiency evaluation index system for listed companies in China's digital cultural industry. Through the use of data envelopment analysis (DEA) method, the technical innovation efficiency of 36 listed companies in China's digital cultural industry was evaluated. The research results show that: (1) China's 36 listed companies have low technological innovation efficiency; (2) the allocation of R&D resources of listed companies is unreasonable; (3) there is a large difference in technological innovation efficiency among listed companies. Therefore, it is necessary to increase the efficiency of technology innovation of listed companies in China's digital culture industry by investing more R&D funds, distributing R&D resources, establishing effective dynamic incentive mechanism, promoting government-industrial-academic research.

• The monthly packaging world
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• s.289
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• pp.106-114
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• 2017

• Proceedings of the Costume Culture Conference
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• 2005.10a
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• pp.90-90
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• 2005

• Defense and Technology
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• no.8 s.270
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• pp.68-71
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• 2001

이 글은 George P. Sillia Jr.가 'Defense Procurement Analysis'지, Spring호에 기고한 글을 번역한 것이다.