• Proceedings of the Korean Statistical Society Conference
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• 2000.11a
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• pp.91-95
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• 2000

본 연구는 우리나라 산업구조에 있어서 지식과 기술의 영향을 파악하기 위하여 기술지표(R&D, IT집약도, 특허)와 인적자원지표(R&D인력, 대졸자수, 과학기술인적자원)를 기초로 117개 산업에 대한 지식기반도 측정을 시도한 것이다. 지식기반도 측정을 위한 분석모형으로 LISREL 모형이 적용되었다. 지식기반산업에 대한 기존의 연구로서는 OECD(1996)에 의한 R&D 직접투자와 간접투자를 이용한 분석이 있으나 기술과 인적자본 지표를 모두 활용하여 계량적으로 분석한 것은 새로운 시도이다.

• Journal of Technology Innovation
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• v.27 no.1
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• pp.1-43
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• 2019

The significance of SMEs (small and medium-sized enterprises) is gradually highlighted as we have entered the age of "New Normal." The South Korean government support these enterprises to boost economic growth and create more jobs. It also releases numerous policies such as national R&D projects and expanding tax incentive services particularly aiming at promoting dramatic investment in R&D and technological innovation. There is a sharp contrast regarding the efficiency of direct or indirect supports for encouraging R&D investment launched by SMEs depending on researchers. However, there has been little attempt to explore the optimal combination of two policy tools. Amid promoting affiliated governmental departments in charge of SMEs policies and constantly growing R&D investment, it is an appropriate time to discuss the medium and long-term direction for the optimal policy mix of direct and indirect supports. In this study, the author obtained 32 relevant studies published earlier in the domestic journals, explored literatures more systematically, and further conducted a meta-analysis. It is dedicated to summarizing relevant controversies and organizes them empirically beyond merely verifying whether policy support stimulates private R&D investment by SMEs. The meta-analysis showed that it would be effective to support as tax for large enterprises, while subsidiary support for SMEs. However, indirect support needs to be progressively increased as direct support primarily accounts for the entire R&D support for South Korean SMEs.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.189-200
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• 2017

본 연구는 국내 지역R&D투자와 지역경제지표 간의 관계를 파악하기 위한 것이다. 연구 방법은 패널VECM을 사용하여 1995~2014년 국내 17개 시 도별 정부 및 민간R&D투자, 고정자본과 고용, 지역내총생산의 상호 간 장 단기 인과관계를 도출하였다. 분석결과, 단기적으로 GRDP의 원인변수는 고정자본, 고용, 그리고 민간R&D투자로 나타났다. 고정자본의 원인변수는 고용, 민간R&D투자로 나타났으며, 고용의 원인변수로는 GRDP와 고정자본으로 나타났다. 장기적으로 고용, 고정자본, 정부R&D투자가 다른 변수들의 장기균형관계로부터 각각 인과관계를 갖는 것으로 나타났다. 이와 같은 결과를 바탕으로 목적과 대상 그리고 시간의 흐름에 따라 지역R&D투자의 직 간접적 효과를 함께 고려할 수 있는 추가적인 분석이 요구된다.

• Journal of Technology Innovation
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• v.23 no.1
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• pp.87-105
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• 2015

This research confirms a non-linear relationship between R&D investment and performance of small and medium-sized enterprises and measures the adequate level as threshold value. Although previous studies did not consider the time lag and estimated indirectly the level using the R&D investment squared term, this study assumes 2 years time lag and uses the threshold estimation model to measure directly. We find that there is the S-curve relationship between the profit rate as R&D output and R&D intensity and the ratio of researchers to employees as R&D input. Also, we estimate the adequate levels of R&D investment, 6.4% for R&D intensity and 13% for the ratio of researchers to employees. This relationship and measurement of the level can offer basic facts and implications about R&D policy and strategy.

• Journal of Environmental Policy
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• v.14 no.4
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• pp.63-101
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• 2015

Banking and borrowing under the ETS may affect the low carbon technology investment level. If the indirect implementation measures are allowed, firms can gradually adjust their carbon reduction costs between implementation periods based on their carbon reduction costs and emission price forecasts. This implies that banking and borrowing may reduce or increase the level of low carbon technology R&D investment. In an oligopoly market, the effects of the measures are quite different from the ones in a perfectly competitive market. This is because the indirect implementation measures can shift market competition in Cournot competition model. The effects of banking and borrowing on the carbon reduction R&D investments depend on emission reduction costs, marginal production costs, discount rate, initial free allocation, and the cost reduction effects of R&D investment.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.305-305
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• 2017

많은 국가에서 중소기업의 기술혁신을 지원하기 위해서 다양한 직 간접적 지원 프로그램을 기획하고 운영한다. 이 연구는 R&D 투자 효율성을 제고하기 위한 간접 지원의 대표적인 사례 중에서 지식서비스, 특히 그중에서도 R&D 기획, 기술가치평가, 정보 지원 사업에 주목했다. 이 연구에서는 지식서비스의 일환으로 공공과 민간에서 다양하게 제공되고 있는 3가지 지원 사업을 대상으로 R&D 중소기업 중에서 수요 집단의 특징을 프로파일링 했다. 이런 프로파일링을 통해 기업의 해당 지식서비스 지원 적합성을 진단할 수 있는 계량적인 방법을 제안하고 나아가 이를 통한 처방 방법을 논의한다. 구체적인 연구 방법으로는 데이터 마이닝을 통한 분석 방법으로 수요 집단을 프로파일링 했으며, 전통적인 통계 방법인 판별분석 방법을 활용해서 구체적인 지식서비스 적합성 진단 모형을 제시했다. 본 연구에서는 특정 지식서비스 수요에 대한 중소기업의 특징을 프로파일링하기 위해서 설문정보를 활용했으며, 모형의 적정성을 검증하기 위해서 새로운 설문을 활용하는 등 총 6,600 기업에 대한 대규모 설문을 활용했다는데도 차별적 의의가 있다. 본 연구의 결과는 대규모 데이터를 바탕으로 한 중소기업에 대한 지식서비스 또는 R&D 진단과 처방 서비스를 제시해 중소기업과 정부 R&D 투자 효율성을 개선시키는데 기여할 것으로 기대된다.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.779-787
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• 2023

In the relationship between the shareholding ratio of National Pension Service (NPS) and the investee firm's value, this study examined the mediating effect of R&D expenditure which its increase can indirectly induce the increase of firm value, and examined the moderated mediation effect of the Stewardship Code implementation which pressures investee firms' to increase R&D expenditure and firm value. Using the Korean listed companies' data from 2016 to 2021, the analysis showed that the R&D expenditure had a partial mediation effect on the relationship between NPS's shareholding ratio and firm value. Also, the analysis showed that the NPS's Stewardship Code implementation had positive moderating effects on following relationships, one between NPS's shareholding ratio and R&D expenditure, and the other between NPS's shareholding ratio and firm value. In all, on the relationship between NPS's shareholding ratio and firm value, the R&D expenditure's mediation effect differs before and after the implementation of the stewardship code, which shows the moderated mediation effect.

• Electronics and Telecommunications Trends
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• v.11 no.1 s.39
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• pp.147-153
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• 1996

연구개발투자의 촉진과 가용한 연구개발자원의 효율적 배분을 위해서는 연구개발투자의 경제적 효과에 대한 이론적이고 실증적인 분석을 통해 연구 개발투자의 효과를 정량적으로 입증할 필요성이 있다. 본 연구에서는 연구개발투자가 경제 성장에 미치는 직접효과와 기술 및 기술능력을 통해 경제성장에 미치는 간접효과를 실증적으로 분석하고자 한다.

• Journal of the Korea Institute of Building Construction
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• v.10 no.3
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• pp.71-81
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• 2010

In 1994, Korean construction research and development (R&D) projects received investments amounting to 1.2 billion KRW, an amount that rose to 164.8 billion KRW in 2007. Under the current system, construction researchers submit the application records of Construction Research and Development (R&D) in construction projects to the Korea Institute of Construction & Transportation Technology Evaluation and Planning. The performance of Construction R&D projects has thus been dependent on the subjective reporting of the results by the researchers themselves. For this reason, it is difficult to secure confidence in the records of Construction Research and Development. Therefore, this research suggested measures for revitalizing Construction Research and Development, analyzed approaches to cost-saving in Construction Research and Development, and analyzed economic effectiveness in the results of construction R&D.

• Environmental and Resource Economics Review
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• v.25 no.1
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• pp.89-112
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• 2016

In this paper, as a determining factor of the Environment Kuznets Curve hypothesis, we analyzed the impact of technological innovation. In this paper, in order to empirically validate the role of technological innovation to an inverted U-shaped Environments Kuznets Curve hypothesis, we utilize the 2SLS considering relationship between R&D and the GDP per capita. Also, using the Panel VAR (Panel Vector Auto Regression) model to analyze with what time lag R&D per capita has impact on the emissions of greenhouse gases per capita. Empirical results show that R&D per capita(proxy of innovation) is a important factor to explain Environmental Kuznets Curve hypothesis, and that the external shock such as R&D per capita reduces greenhouse gas emissions per capita with about 3 time lag.