• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.646-652
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• 2011

The interest in personal health is now growing around the world. Accordingly, the insurance industry which is closely related to personal health is becoming more important. Insurance industry can be divided into to main stream, life insurance and indemnity insurance. This study attempts to compare the economic impacts of the life insurance industry and indemnity insurance industry using an inter-industry analysis. The study investigates production-inducing effect, value added inducing effect, employ-inducing effect, sectoral price effect using Exogenous specification. The results show that indemnity insurance industry induces production-inducing effect of 2.7 won, value-added-inducing effects of 1.6 won, employ-inducing effect of 26.9 person, sectoral price effects is 2.0%. On the other hand, life insurance industry induces production-inducing effect of 1.6 won, value-added-inducing effects of 1.0 won, employ-inducing effect of 16.5 person, sectoral price effects is 1.2%. Overall, indemnity inducements has higher economic impacts than life insurance.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2004.04a
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• pp.403-407
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• 2004

한국지질자원연구원에서 1998년부터 2002년까지 기본사업으로 5년간 수행한 대도시 지역 지하수 오염저감기술연구사업의 경제적 파급효과로서 조건부가치측정법을 활용하여 연구사업성과의 비용, 편익, 순현재가치, 비용편익비, 내부수익률을 산정하였다. 분석과제의 주요성과 중 계량화가 가능한 직접 편익은 지하수 음용화 시설 구축에 따른 편익 및 지하수 데이터 가치 편익 두가지로 분석되었다. 이들 편익에 대한 경제적 파급효과를 2002년도 현재가치로 환산한 결과, 비용은 50.9억원, 편익은 676.9억원, 순현재가치는 626.0억원, 비용편익비는 13.3, 내부수익율은 152%로 나타났다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2003.05a
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• pp.427-444
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• 2003

어느 국가를 막론하고 전략기획과 경제적 파급효과의 평가 모두 공공연구 프로젝트를 효율적으로 관리하기 위해 이루어져야만 한다. 기획과 평가는 공공연구에 있어 핵심 관심사가 되어 이러한 활동을 증가하게 만들었고, 기업에 대한 관심도 커지게 되었다. 처음에는 공공연구의 특성과 결과에 대한 정보교환과 효과적인 관리를 위한 도구로 경제적 파급효과 연구를 수행했으나 지금은 연구개발 투자에 대한 결과의 타당성 확보의 중요한 자료로 활용되고 있어 이에 대한 관심은 점증하고 있다. 본 연구에서는 주로 미국의 NIST(National Institute of Standards and Technology)에서 개발하여 적용되고 있는 CEM(Counter-factual Evaluation Model : 가상현실 평가모형)을 소개하고 이를 실제 공공연구과제에 적용하여 경제적 파급효과를 분석하였다.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.390-399
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• 2013

The purpose of this study is to examine the impact of enterprise R&D investment on inter-industry technology spillover in Korea under the new Normal Era. In order to do this, we tested the effect of production inducement, backward and forward linkage effects, and the effect of technology spillover such as technology intensity effects and technology diffusion effects based on an input-output framework. The results show that the high index industries of the production inducement effect were professional, scientific and technical activities, manufacture of metal products, and general machinery. Some manufacturers of other non-metallic mineral products and transport equipment sectors appeared to have the strong effect of forward and backward linkages that were almost equivalent to high-tech manufacturing industries. In particular, the industries of professional, scientific and technical activities appeared to have the strong effect of both forward and backward linkages. Therefore, we need to drive a strong policy support to higher enterprise R&D investment in the those particular industries not only to increase global competitiveness, but also to widen up the technology spillover effect on other industries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.145-154
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• 2017

Technology innovation is regarded as the quintessential process to acquire a competitive advantage. This is especially true in high-tech industries, and firms that recognize the importance of technological innovation concentrate their capacities on developing new technologies, new products, and new processes. In general, such research requires many resources, but not all technological breakthroughs are followed by positive feedbacks. Consequently, the firms in high-tech industries are compelled to find new directions in acquiring technologies. This study examines the factors that influence technological innovation and empirically tests the effect these factors have on its diffusion. Radicality, discontinuity, and exploitation/exploration were selected as the factors from the previous literature on technological innovation and organizational learning. For the empirical test, patent data from the US semiconductor industry were used to describe innovation activities from various fields. From the result, these three factors (Ed- is this what you mean, i.e., radicality, discontinuity, and exploitation/exploration?)were found to have significant meaning as proxies for the diffusion of technological innovation.

• Journal of the military operations research society of Korea
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• v.32 no.2
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• pp.143-164
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• 2006

This paper considers the technology spillover effects on industries by analyzing patents. Registered patents in the United States from Korea in 1990 and 1995 are compared by quantity of registrations as well as patent analysis indices, namely, cites per patent, technology cycle time and science linkage. Several regression models between these indices as predictor variables and the value added of an industry as a dependent variable were investigated. The results show that the value added of an industry positively correlates to the number of patent registrations and cites per patent.

• Journal of Technology Innovation
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• v.31 no.2
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• pp.263-301
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• 2023

This study analyzes whether the network characteristics lead to differences in innovation performance between inventors, using the case of Samsung Electronics and Hyundai Motor Company which have applied for the most patents in the electronics and automobile industries while showing significant differences in the degree of collaborative invention. The more inventors an inventor is connected with in the network, the higher innovation performance is achieved. While existing literature addressed intra- / interindustry, and intra- / inter- group spillovers at the organizational level, this study extends this discussion to the inventor level. This study newly introduces spillover pools from network components and then constructs spillover pools in three dimensions of the group, the industry, and the network component. The study analyzes the effects of each spillover pool on invention performance of an individual inventor and compares the effects between spillover pools. At the inventor level, the innovative effects of spillover pools were confirmed. The results of this study suggest that the inventor's network characteristics and spillover pools can be used to predict the inventor's innovation performance.

• Journal of Technology Innovation
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• v.28 no.4
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• pp.97-126
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• 2020

This study evaluated its potentials by quantitatively analyzing the national economic impact of the smart home-related industry, which is attracting attention as a core industry of the 4th industrial revolution. For the analysis, the smart home-related industries were classified into manufacturing and service industries through a literature review of the previous studies. Using the 2018 input-output table, this paper analyzed linkage effects between industries as well as spillover effects in the production, value-added, employment and job. As a result, the smart home manufacturing and service sectors showed a higher spillover effect in value-added than other industries in each industrial field. In the smart home industry, the spillover effects of manufacturing sector to service sector are larger than those of service sector to manufacturing sector. Moreover, it was confirmed that smart home industry was highly related to not only the technology-intensive industry, but also the service sector for smart cities, smart cars, Fin-tech, and etc. On the other hand, the smart home manufacturing sector is a final demanding industry with relatively higher backward linkage effect than forward linkage effect. In the smart home service sector, the forward linkage effect was relatively high compared with the backward linkage effect, indicating that it was an industry with a high supply function to other industries.

• Management & Information Systems Review
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• v.36 no.2
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• pp.93-111
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• 2017

This study aims to examine economic effects and success factors of ICT based growth engine industry for forth generation industrial revolution. KTRS(kibo Technology Rating System) provided by KIBO is used for an analysis of this study. Specifically, the economic effects of growth engine industy are classified with financial(productivity, growth rate, etc) and non-financial(R&D investment and employment) effects. Moreover, the impacts of KTRS factors including CEO capability, technology ability, commercialization and marketability on the economic effects are investigated. The result of this study would raise management issues on technology innovation and provide implications on industrial policies for ICT based growth engine industry.

• Journal of the Economic Geographical Society of Korea
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• v.18 no.1
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• pp.115-135
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• 2015

In the glocalization a common phenomenon of several nations reveals knowledge innovation and growth by the important subject of region and state and is studied at theory and practice. the successful cases of regional development in an advanced country have leading innovation through regional innovation system and cluster. therefore we are necessary to analyse how the knowledge spillovers in innovative cluster as the reduced model of regional innovation system guide firm innovation and region growth. this article reviews theories and empirical studies of the knowledge spillovers in the regional innovation system and innovative cluster of innovative geography and proposes a new research issues for further explorations of the knowledge spillovers. Previous studies assist that knowledge spillovers exist in knowledge-based industries of specific local area and local innovation accomplishes through pure knowledge spillover. but limits of these studies include narrow region and technological area, few analytical variable and exclusion of rent knowledge spillover. therefore new research topics related with that exemplifies geographical dimension(concentration and decentralization), technological dimension(knowledge based industry), category of analytic variables(previous indicators, time, and social capital), conceptualization(appropriation means, markets for technology) etc.