• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.3
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• pp.75-83
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• 2015

This article investigates the impact of SMEs' R&D expenditure, government R&D funding, the number of funded by Government R&D programs on the employment growth rate. This study also explores whether government R&D funding and the number of funded by Government R&D programs have interaction effects between SMEs' R&D expenditures and the employment growth rate. The results show that SMEs' R&D expenditure and government R&D funding have a positive effect on the employment growth rate. The rest of variables have no significant direct effects on the employment growth rate. The government R&D funding has a interaction effect between SMEs' R&D expenditures and the employment growth rate. Especially, the firm group of high-level innovation capabilities has a positive effect on the employment growth rate. The results explain that the government R&D funding influences SMEs' employment positively and the impact of the government R&D funding on employment is more effective in the firm group of high-level innovation capabilities. Therefore, Government provides differentiation strategy of R&D funding by innovation capabilities of SMEs and can maximize the employment.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.37-63
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• 2014

This study is intended to demonstrate how different factors induce the Korean government's direct investment in research and development according to the type of business enterprise in Korea. We analyzed that what factors made the government directly invest in research and development by using a total of 18,272 company panel data, which are not limited to specific industries or government-led research and development (R&D) programs. The results showed that the direct investment for R&D by the government led to the increase in the number of researchers in SMEs. For major companies, the direct investment resulted in the increase of sales and company's own R&D expenses. Moreover, this study found that government's direct support for R&D even led to the decrease of SMEs' own R&D expenses; however, this result was not statistically significant. In addition, the most significant factor to increase both SMEs' and major company's own R&D expenses was the sales amount of the company, rather than government's direct investment for R&D. The factor that increases sales was the company's own R&D expenses, rather than government's direct investment for R&D. Through the analysis using Mixed Effects Model, this study suggested the policy should be changed to make SMEs invest in its own R&D expenses, rather than to secure researchers of SMEs by government's direct investment for R&D.

• Journal of Technology Innovation
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• v.21 no.2
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• pp.137-167
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• 2013

This article estimates the scale of impact of expanding governmental fiscal expenditure for R&D investment on the private business enterprise's investment for R&D, and the relationship between business enterprise and university for expanding investment of R&D. According to my results, first, an expanding fiscal expenditure from government for R&D investment leads to increase R&D investment from business enterprise. However, an expanding expenditure from university rather leads to decrease R&D investment from business enterprise. Secondly, the crowding-out effect of expanding R&D investment from University on business enterprise's is very strong, and it is affected by structural changes such as the country's economic power, fiscal stance and cyclical volatility. Third, the more governmental expenditure on university expansive is, the stronger asymmetric relationship between business enterprise and university is, and investment sources of university from business enterprise is the main factor of this relationship. Finally, it is not easy to solve out this asymmetric relationship even through the governmental subsidy.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.11-23
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• 2012

This study makes an attempt to understand the changes in the National R&D policy by the comparative analysis in terms of R&D policy regime. We characterize the related issues on the National R&D policy, and analyze the direction of science and technology(S&T) policy using the method of scientometrics. The result shows that the policy regime can be categorized into three groups with respect to the R&D efficiency and the keywords; Regime 1: National S&T Innovation 5-year Plan(1999-2002) and National S&T Master plan of the previous adminstration(2003-2007), Regime 2: National S&T Master Plan(2002-2006) and National S&T Master Plan of the previous administration(2003-2007), Regime 3: National S&T Master Plan of the current administration (2008-present).

• Proceedings of the Korea Technology Innovation Society Conference
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• 2013.10a
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• pp.547-569
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• 2013

• Journal of Korea Technology Innovation Society
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• v.10 no.4
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• pp.706-726
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• 2007

This study attempts to empirically investigate the effects of government R&D subsidies on private firm's R&D investment in Korean industry. The R&D subsidy effect is defined as the average percentage change in firm's R&D expenditures between what was actually observed among firms that received a subsidy and what these firms would have spent had the subsidy not been received. To measure the effect we use Difference-in-Differences (DID) model which sign as to whether the relationship between government subsidies and private R&D investments is on stimulating or displacing private R&D expenditures. The differences between this study and previous studies are that we tries to measure the effect of Government R&D across various sited firm groups such as large, small & medium, and venture firms and we add one lag of the subsidy indicator in order to capture the effect of the subsidies on private R&D during 2 consecutive period. Empirically, a firm with government R&D subsidy increases its own R&D investment by 13.9%. Also on average, 1% of government R&D subsidy leads to 0.031% of private R&D increase. The main results of this study are as follows : First, Government R&D subsidies stimulate private firm's R&D expenditures. Second, Government R&D subsidies greatly increase (statistically significant) company financed R&D expenditures only for large firms but had no effect on the R&D expenditures of small & medium sized firms and venture firms.

• Journal of Technology Innovation
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• v.31 no.1
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• pp.1-28
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• 2023

본 챕터는 과거 50년 연구개발정책의 역사를 돌이켜보면서 한국 산업과 경제의 성장과정에서 연구개발정책이 어떤 역할을 수행했는가를 조명한다. 1960년 초 경제개발 5개년계획을 추진하기 시작하던 때부터 1970년 대 말까지 연구기반 구축기, 1981년부터 2000년까지 연구역량 축적기, 2001년부터 2020년 현재까지 연구개발 도약기 등 3단계로 나눠서 살펴본다. 연구기반 구축기간 중에는 연구개발 투자의 증가와 함께 본격적인 연구와 우수 연구인력을 양성하기 위하여 여러 국책연구기관을 설립하였으며 연구 단지를 조성하는 등 연구기반을 구축하는 정책을 추진하였다. 다양한 분야의 전문 연구기관의 설립 필요성이 제기되자 주요 분야 연구조직을 KIST 부설 형태로 발족한 후 독립 연구기관으로 분리하는 것이 주요 정책이었다. 연구역량 축적기에는 정부가 연구개발 사업을 기획하여 추진하였고 1990년대에 이르러서는 대학의 연구 잠재력을 조직화함으로써 연구역량을 축적하였다. 수출 고도화와 수출시장에서의 경쟁력을 향상해야 하는 기업들의 절박한 기술혁신의 필요성에 기인하여 기업의 연구개발 투자가 급속도로 증가했다. 2000년대에 이르러서는 우리나라 연구개발투자가 절대규모에서도 세계 5위국으로 부상했고, GDP대비 연구개발투자 비중에서는 세계 최고 수준에 도달했다. 이렇듯 연구기반 구축기, 연구역량 축적기, 연구개발 도약기를 거치면서 우리나라는 매 20여년의 주기로 연구개발 시스템을 시대 상황에 맞도록 정책을 혁신하여 추진함으로써 오늘에 이르렀다. 과학기술의 혁신은 산업과 기업의 성장에 결정적인 기여를 하였다. 정부의 도전적인 연구개발 투자는 정밀한 정책 기획과 추진이 병행되면서 그 효과가 발휘되었고 산업과 기업의 성장을 견인할 수 있었다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2013.10a
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• pp.168-180
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• 2013

• Science & Technology Policy
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• v.15 no.1 s.151
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• pp.54-72
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• 2005

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.148-150
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• 2019

인도는 2014년 모디 정부 출범 이후 부정부패 척결, 기업환경 개선, 적극적인 외자유치 등의 경제개방 및 개혁정책을 추진하는 들 높은 경제성장 잠재력을 보유하고 있다. 인도의 면적은 329만 $km^2$로 서유럽 면적과 비슷하고, 인구는 중국에 이어 세계에서 두 번째 많은 약 13억 명으로 높은 생산 소비 잠재력을 가지고 있다. 모디 정부 출범 이후 전 정부 대비 인프라 개발 예산을 4배 이상 배정했고, 주요 항만 개발 및 제조업 육성에 힘쓰고 있다. 그러나 아직까지 인도 시장에 대한 우리나라의 해운 항만 물류기업 진출 및 투자 지원에 관한 체계적인 연구는 미흡한 실정이다. 따라서 인도에 진출하는 우리나라 화주기업 및 물류기업의 물류 애로사항 해소 지원, 해운 물류기업의 경쟁력 강화 등 정부차원의 다양한 정책과 지원 사업에 관한 연구가 필요하다. 그러므로 본 연구는 인도시장에 진출하는 우리나라 물류 기업의 항만 물류시설 투자 후보지에 대한 정성적 정량적 분석을 통해 투자유망지역을 선정하는 것이 목적으로 한다. 이를 위해 인도의 경제 및 교역, 물류시설 및 관련 정책 등의 현황 조사를 실시한다. 그리고 우리나라 물류기업 진출 시 투자가 유망할 것으로 예상되는 지역을 대상으로 정성적 정량적 분석을 통해 투자유망지역을 선정하려 한다.