• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.86-87
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• 2014

Although the importance of information security industry has been growing these days, the research of industrial respect for the industry has been rarely performed. This paper provides one definition of the information security industry and the industry classification system according to the definition. The purpose of this study is to provide the basic data for the industry development strategy by analyzing economic ripple effect on the domestic information security industry.

• Journal of the Korea Fashion and Costume Design Association
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• v.15 no.1
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• pp.75-89
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• 2013

The purpose of this study is to verify the mediating effect of store benevolence for impact on store loyalty of store environment and store personality. For this study, data were collected through questionnaires. The survey ran from March to May, 2011, the total of 330 respondents was used in analysis. The subjects consisted of adults living in the Daegu and Gyeongsangbuk-do region, and convenience sampling. For statistical analysis, SPSS 19.0 were used to verify the study model. The major results of the study show that store benevolence may play a linkage role of store environment, store personality on store loyalty. The store benevolence variable has the effect of partial mediation. The analysis of relationship between the variables of store environment (convenience, information service accessibility, accessibility, variation) and the store type show significant differences store environment (convenience, information service and the store type). The analysis of relationship between the variables of store personality(warm, fun, sophisticated, forward-looking) and the store type show significant differences store personality (warm, fun, sophisticated, forward-looking) and store type. The analysis of relationship between the variables of store environment(convenience, information service accessibility, accessibility, variation), and the demographic variables show significant differences in store environment (information service accessibility) regarding only age. The analysis of relationship between the variables of store personality(warm, fun, sophisticated, forward-looking) and the demographic variable show significant differences in store personality(warm) regarding only age (accessibility, accessibility, variation).

• Knowledge Management Research
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• v.17 no.1
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• pp.73-89
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• 2016

The digital culture contents is one of the fastest growing industry in Korea and it accounts for 60% of the digital contents industry. This paper attempts to analyze economic impacts of the digital culture contents industry using input-output analysis. This study investigated the production-inducing effect, value-added-inducing effect and employment-inducing effect of the digital culture contents industry based on a demand-driven model. In addition, the study dealt with the supply shortage effect and sectoral price effect of the digital culture contents industry using a supply-driven model and the Leontief price model, including the inter-industry linkage effects of 29 sectors with the digital culture contents industry sector. Some interesting findings were drawn from the study. First, production of 1.0 won in the digital culture contents industry results in production-inducing effect of 2.39542 won, value-added effect of 1.29895 won and employment-inducing effect of 0.39657 persons in other industries. Second, the supply shortage of 1.0 won in the digital culture contents industry prevents other industries from producing 0.56631 won. Third, a 1% increase in the price level of the digital culture contents industry raises the overall price level by 0.06017%. Finally, very high backward linkage effects were found, but forward linkage effects were minimal.

• Journal of the Economic Geographical Society of Korea
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• v.3 no.2
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• pp.63-80
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• 2000

The purpose of this study is to analyze the impact of the Kwang-yang Iron and Steel Co.(KSCO) on the industrialization of the economic structure in Kwang-yang area. The research used the shift-share analysis and regional growth rate differential analysis. KSCO has influenced this area by changing the economic structure from traditional agriculture and fisheries to the manufacturing industry. KSCO also has influenced the population of Kwang-yang area. The number of employees grew from 594 in 1981 to 29,865 in 1992. However, after 1992, employee numbers decreased to 23,399 in 1998. KSCO was constructed in the region of traditional agriculture and fisheries in 1981. The social and economic status of the Kwang-yang area has changed greatly due to the growth of KSCO and the corresponding influx in population. KSCO has developed the related industry and changed this area into a booming industrial city. The number of employee has rapidly increased. At the end of the year 2000, 17,240 people work for KSCO and 39,593(28.7%) of the total population of Kwang-yang are related to KSCO.

• 한국신재생에너지학회:학술대회논문집
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• 2006.11a
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• pp.217-220
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• 2006

목질계 바이오매스는 신재생에너지원에 비해 국내 잠재량이 가장 풍부한 에너지원 가운데 하나이다. 그러나 주요 공급원인 간벌목 부산물의 10%, 폐목재의 1/3 정도만 활용되고 있다. 따라서 향후 관련법제도 개선 및 지원을 통해 바이오매스의 에너지 활용도를 높일 필요가 있다. 목질계 바이오매스를 이용하여 에너지를 생산할 경우 잠재적 기여도는 2005년 신재생에너지 공급량의 29.4%에 달하며, 신재생에너지의 일차에너지 소비대비 2.13%에서 2.76%로 증가시킬 수 있는 잠재력을 갖고 있다. 본 연구는 전국 16개 시도별로 잠재되어 있는 목질계 바이오매스 생산 가능량을 추정하고 이를 바이오열병합발전소의 주연료로 이용할 경우 지역별 경제적 파급효과를 분석해 보았다. 그 결과 경기, 서울, 전남, 경북, 강원, 충남 등에서 파급효과가 크게 나타났다. 지역별 파급효과를 합할 경우 부가가치 파급효과가 15,736억원, 고용효과가 2,630명으로 나타났다.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.66-75
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• 2022

The manufacturing industry is the foundation that drives economic growth, and manufacturing innovation is essential for sustainable growth advantage and the transition into a digital economy. Therefore, major countries actively support the field of simulations, which incorporate information and communication technologies into manufacturing, and announce various policies at the national level along with increasing investment. Simulation technology virtualizes product development processes to replace physical production and experimentation of products, dramatically reducing time and costs. In South Korea, the Korea Institute of Science and Technology Information (KISTI) has supported manufacturing companies for about 14 years by providing relevant technologies. This study uses the input-output table for the Bank of Korea to analyze the economic ripple effect. First, we identified the domestic industrial sector dealing with the supercomputing-based simulation industry. Then we analyzed its ripple effects by dividing them into the production inducement effect, value-added inducement effect, employment inducement effect, and forward/backward linkage effect. Consequently, when the supercomputing simulation budget of KISTI (28.3 billion won, 2007-2020) was set as an input coefficient, the analysis showed 45.1 billion won as the production inducement effect, 24.7 billion won as the value-added inducement effect, and 282 individuals per 1 billion won as the employment inducement effect. This study is significant in that it derived the effects of the inputs by analyzing the economic ripple effects of the projects of KISTI, which have been supporting South Korean manufacturing companies for the past 14 years with supercomputing-based simulations.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.1
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• pp.70-77
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• 2021

This paper was reclassified industries related to the 4th industrial revolution into manufacturing, information and communication services, finance and insurance services, and science and technology services by comparing the industry association table with the Korean standard industry classification. And the economic ripple effect was analyzed by exogenizing the four sectors of the industry using a demand-driven model. The wholesale and retail and product brokerage services were measured to be large in the manufacturing, information communication services, and science technology service sector according as a result of analysis of the production inducement effect, added value inducement effect, and employment inducement effect. And the financial and insurance services were analyzed to be large in the financial and insurance services sector. The import inducement effect was analyzed to be the largest in all sectors of the fourth industry. As a result of the forward and backward linkage effect, it was confirmed that the manufacturing and the information communication services sector were the intermediate primary production type sensitive to economic fluctuations. Also it was confirmed that the financial and insurance services and the science technology services sector were the final primary production type.

• Environmental and Resource Economics Review
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• v.20 no.1
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• pp.1-31
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• 2011

By employing Environmental Input-Output Table 2005, which has 76 intermediate sector and 21 energy sources, this paper analyses the flow of energy demand and $CO_2$ after estimating an induced $CO_2$ emissions from 76 industrial sectors. Index of $CO_2$ intensity($CO_2/GDP$) and other index of $CO_2$ intensity($CO_2/calory$) showed that final demand sector uses more high calory energy source. Intermediate sector used less environmental friendly energy source and emit more $CO_2$ at same calory. Industries those has high induced $CO_2$ emissions are Thermal Power($32.587CO_2-g/Won$), Cement($10.370CO_2-g/Won$), Road Transportation($7.255CO_2-g/Won$), Cokes and Other Coal Products($5.791CO_2-g/Won$), Steam and Hot water supply, Sewage, Sanitary services($4.575CO_2-g/Won$). It is shown that industry such as Iron and Steel which has low $CO_2$ intensity, high backward linkage effect and high forward linkage effect makes high induced $CO_2$ emissions. Environmental load and $CO_2$ emissions in overall economy will decrease when not high $CO_2$ intensity industry but also low $CO_2$ intensity industry makes lower $CO_2$ intensity.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.5
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• pp.1031-1039
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• 2015

This study examines the economic ripple effect on the domestic information security manufacturing and service sectors through input-output analysis. The production inducement coefficient of the manufacturing sector is bigger than the average of whole industry, but that of the service sector is smaller than the average. On the other hand, the service sector is superior to the manufacturing sector in the value added and employment inducement coefficients. Forward and backward linkage effects of manufacturing and service sectors are generally lower than those of the average of whole industry. The information security industry has insignificant contribution to national economy and employment growth overall. In particular, the manufacturing sector records minus contribution to employment growth, which means that a lot of effort for increasing employment must be given further on in the sector.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.615-621
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• 2016

The selection of a flagship industry is based on whether the industry's developmental impact is great and whether the industry can be the center of the national economy. Here, a ripple effect may be derived by analyzing the forward and backward linkage effects, but in the case of industries that are the centerpieces of the national economy, each researcher reported different results. Consequently, they could not agree on their flagship industry despite belonging to the same time. This study presents a prestige centrality of network analysis as a way of analyzing an industry, which was the center of the national economy, and performed empirical analysis utilizing the 2013 I-O Table. The analysis showed that the industries classified as those with high centrality include the energy industry, which is essential for economic development, can create a synergy effect with other industries, such as the transportation industry, industries with a high level of export and employment, such as electronics and chemicals, and industries for domestic demand, such as wholesale and retail, food services and accommodation.