• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.249-249
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• 2017

본 연구는 신 국제무역이론(Meltzer, 2012, 2014, 2015)에 대한 실증분석을 목적으로 한다. 신국제무역이론은 기술혁신역량에 대한 이질적 기업분포가 국제무역에 미치는 영향을 중심으로 전개된다. 이 새로운 국제무역이론은 기술혁신분포형태가 국제무역효과를 결정한다는 핵심가정에서 출발하기 때문에 실증적으로 우리나라 제조 기업 기술혁신분포를 추정하고, 기술혁신분포형태 즉 우리나라 기업의 기술혁신과 기술모방분포에 대한 통계적으로 검증하여, 신 국제무역이론기반에 대한 적정성을 평가하였다. 본 분석결과를 바탕으로 기술정책 및 산업정책 방향을 간단하게 제언하였다.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.860-874
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• 2018

This study aims at empirical analysis of the new international trade theory (Melitz, 2012, 2014, 2015). The new international trade theory is centered on the effect of heterogeneous firms on the technological competitiveness on the trade effect and resulted from the important assumption that the form of the enterprise technology distribution determines the trade effect. This study empirically estimated the distribution of enterprise technology in Korean manufacturing. For the purpose of this study, we divided Korea's total enterprise technology distribution into technological innovation and technical imitation distribution, then statistically verified the distribution type and evaluated the appropriateness of the new international trade theory. Based on the empirical results of this study, we briefly suggested the direction of technology policy.

• Journal of Korea Technology Innovation Society
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• v.8 no.3
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• pp.887-910
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• 2005

This paper attempts to approximate the distribution function for the number of innovation activities (NIA). To this end, the dataset of 2002 Korean Innovation Survey (KIS 2002) published by Science and Technology Policy Institute is used. To deal with zero NTI values given by a considerable number of firms in the KIS 2002 survey, a mixture model of distributions for NIA is applied. The NIA is specified as a mixture of two distributions, one with a point mass at zero and the other with full support on the positive half of the real line. The model was empirically verified for the KIS 2002 data. The mixture model can easily capture the common bimodality feature of the NIA distribution. In addition, when covariates were added to the mixture model, it was found that the probability that a firm has zero NIA significantly varies with some variables.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2010.05a
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• pp.310-317
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• 2010

지역별 산업 및 육성을 위해서는 지역 기술혁신 활동을 보다 실제적으로 모니터링하고 이를 바탕으로 분석하는 것이 중요하다. 특허 통계를 이용하여 지역별, 국가별 혁신 능력을 비교하는 연구는 많이 있어왔지만, 기존의 방법은 주로 출원인(기업)의 본사를 기준으로 행해져 왔으며, 실제 혁신활동이 행해지고 있는 지역을 기준으로 하지는 못하였다. 따라서 본 연구에서는 실제 혁신활동을 대표한다고 할 수 있는 발명자의 지역분포 현황과 발명자간의 네트워크를 분석함으로써 특정 기술분야의 인력교류가 지역적으로 어떤 관계를 보이는지를 알아보았고, 이러한 지역혁신이 지역별 경제적 성과와 어떠한 연관성을 갖는지를 알아보고자 하였다. 이를 위해서 2005년 출원된 한국등록특허를 기준으로 내국인이 출원한 특허 전체를 대상으로 한 지역간 네트워크 분석을 통해 분석한 기술혁신활동의 지역간 연계구조와 이후의 경제적 성과를 분석하였다.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.41-62
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• 2013

In order to facilitate the R&D of SMEs and foster innovative SMEs, the Small and Medium Business Administration is funding the SMEs in the focused supporting industries which are selected by a primary consideration of the political conformity. The correlations among the distribution of engaged SMEs, the distribution of SMEs which applied the fund, and the distribution of SMEs funded in the industries are analysed, in order to realize the effectiveness of the top-down method for selecting the focused supporting industries. As a result, there was a large deviation of both the number of the engaged SMEs and the number of the applied SMEs in the each industry, which means that the selected industries did not accurately reflect the needs for the technology development of SMEs. In addition, the distribution of the applied SMEs was strongly depended on the distribution of the engaged SMEs, which shows the trend that SMEs are trying to make R&D plans in their current industry rather than following the political drive. Moreover, because the distribution of the funded SMEs is strongly correlated with that of the applied SMEs, one could know that the selected industries were neither fostered strategically nor evenly but the fund was distributed simply according to the distribution of the applied SMEs. In this study, in order to complement the limitations of the top-down method, the bottom-up method which primarily consider the needs for the technology development of SMEs was suggested. It is desirable to consider in the order of the needs and the capabilities of SMEs, the technological perspective and marketability of the industry, and the political importance in the bottom-up method, and it is expected that the method could be flexibly used in the planning of the various programs.

• Science & Technology Policy
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• v.7 no.12 s.105
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• pp.105-114
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• 1997

• Proceedings of the Korea Technology Innovation Society Conference
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• 2006.11b
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• pp.47-57
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• 2006

• Proceedings of the Korea Technology Innovation Society Conference
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• 2013.10a
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• pp.261-269
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• 2013

• Proceedings of the Korea Technology Innovation Society Conference
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• 1999.05a
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• pp.421-435
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• 1999

삼면이 바다로 둘러쌓여 있는 우리나라로서는 막대한 자원이 분포되어 있고 지구환경에 지대한 영향을 미치는 해양에 대한 적극적인 개발과 보전활동이 필요하다. 해양에 대해서는 아직까지 많은 부분이 미지로 남아있고 그 물리적 조건으로 인하여 해양개발활동에는 많은 어려움이 따른다. 이를 극복하기 위해서는 해양과학기술의 뒷받침이 필히 수반되어야 하지만 그 중요도에 비해 아직까지는 해양과학기술에 대한 인식이 부족한 상태이다. 본 고에서는 해양기술에 대한 소개와 아울러 각 기술 분야별 발달 수준을 살펴보고 기술 부문별 중장기 발전목표와 발전방향을 정리하였다.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.83-93
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• 2016

In this paper, I study to determine the effect on patent applicants across the network characteristics of innovation in the ICT sector in Korea. For that, I use the Social Network Analysis(SNA) and the Negative Binomial Regression(NBR). The results about the innovation network in Korea ICT is very dense type. And the degree centrality and the closeness centrality had such a positive effect on innovation performance. Also, the efficiency had not reached a significant effect and the constraint was found to have a negative effect on innovation performance. In the future, based on these results, we need to plan a proper policy of the Korea Technology Innovation Policy.