• Journal of Technology Innovation
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• v.19 no.1
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• pp.1-27
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• 2011

This paper aims to measure and analyze R&D productivities and efficiencies of 17 major OECD countries including Korea over the 1984-2008 period by using the Malmquist Productivity Index and Data Envelopment Analysis, classifying R&D performance into an output and outcome aspects. It also searches the Korea's current status and characteristics in each R&D stage to enhance Total Factor Productivity (TFP) compared with other developed countries. Our major findings are the followings: (i) Korea's productivity index of R&D input vis-a-vis R&D output is very high (13.39% annual growth rate) compared with those of major advanced countries, whereas the annual average of efficiency index is very low (0.33), i.e. Korea's technical efficiency index has risen to 0.83 at the last time series started at 0.10 point and come up to the level of major advanced countries. (ii) the Korea's productivity index of R&D output vis-a-vis R&D outcome is very low (14.02% annual reduction rate) compared with those of major advanced countries, whereas the annual average of efficiency index is very high (0.22), i.e. Korea's integrated frontier technical efficiency index has dropped to 0.057 at the last time series started at 1.00 point and coming up to the level of major advanced countries. (iii) The productivity of R&D input vis-a-vis R&D outcome is positively correlated with that of R&D output vis-a-vis R&D outcome and the growth of R&D input factors. In a nutshell, it implicates that the effort to take advantage of R&D outputs, namely establishing the diffusion and commercialization system of technical knowledge to the level of developed countries, should be strengthened over that on the growth of R&D investment and output for enhancing R&D productivity and efficiency in Korea.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.291-305
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• 2017

대전은 전국에서 R&D투자가 많은 지역으로 이는 출연연 및 출연연 출신 연구원의 기술창업의 증가로 나타나는 현상으로 볼 수 있다. R&D가 많이 투자됨에 따라 이에 따른 효율성에 대한 분석들이 많이 이루어지고 있으며, 주로 R&D 투자가 대한 지역내총생산, 기업의 생산성 등에 미치는 영향 즉 R&D투자의 효율성 분석을 많이 하고 있다. 본고에서는 지역 R&D투자가 기업의 생산성에 어느 정도 영향을 미치는 지를 분석하였다. 특히 지역특화(전략)산업 분야별로 분석하여 지역 R&D 투자의 효율적 배분을 위한 전략방안을 제시하고자 한다. 이러한 분석을 위해서 생산성에 대한 대리변수로 종업원 1인당 매출액 종업원 1인당 부가가치를 종속변수로 설정하였고, 독립변수로 연구개발비, 종업원 1인당 영업이익, 종업원 1인당 자본집약도 등의 변수를 다중회귀모형으로 실증분석 하였다. 분석결과 R&D투자가 매출액과 부가가치에 유의한 영향을 미치지만, 연구개발비가 매출액이나 부가가치 등 생산성 증가에 결정적인 요인으로 나타나지 않았다. 산업별 분석결과 정보통신, 바이오산업보다 부품소재 산업에서 결정계수가 높게 나왔다. 또한 조절회귀모형을 설정하여 조절효과를 분석한 결과 R&D투자는 매출액에 영향을 미치지만, 부가가치는 조절효과가 발생하지 않았다. 이는 지역 R&D투자의 효율적 배분 측면에서 투자의 활성화를 이루고 연구개발 투자가 실질적으로 기업의 생산성 증가에 기여할 수 있도록 견인해야 할 것이다.

• Journal of Korea Technology Innovation Society
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• v.21 no.3
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• pp.1077-1100
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• 2018

The present study analyzed the effect of firms' external research and development (R&D) on corporate productivity, while investigating the moderating effect of firm size on the external R&D-productivity nexus. In the empirical analysis, we estimated South Korean manufacturing firms' total factor productivity (TFP) using the firm level data drawn from the Survey of Business Activities (Korea National Statistical Office) for the years 2006-2015. Thereafter, focusing on the role of external R&D and its interaction with the firm size in determining firms' TFP, the productivity function was estimated as well. To this end, we used ordinary least squares (OLS) and quantile regression to highlight the heterogeneous impacts of external R&D by companies' productivity level. Empirical results confirmed that firms' external R&D significantly enhanced corporate productivity in all manufacturing industries, from high-tech to low-tech. The moderating effect of firm size in determining the productivity effect of external R&D was not as prominent as in the case for internal R&D, which exhibited some degree of the size premium in the productivity-enhancing effect. These results suggest that regardless of the firm size, external R&D can be an important channel for corporate productivity improvement, and can be a particularly effective strategy for SMEs with relatively limited internal R&D capacities.

• Korea Trade Review
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• v.42 no.2
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• pp.1-27
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• 2017

The purpose of this paper is to examine how industry-level R&D investments increase exports in Korean manufacturing industries through the strengthening of product competitiveness and cost competitiveness. We developed a research model indicating that R&D investments positively affect product competitiveness and cost competitiveness, in which investments in R&D will finally lead to increases in exports in manufacturing industries. Product competitiveness is divided into new product innovation capability and product quality competitiveness, while cost competitive advantage is divided into labor productivity and capital productivity. We have collected data from 20 manufacturing industries between 2004 and 2014, and analyzed them through path analysis. Empirical results of this study are as follows. First, R&D investment in the manufacturing industry positively affects new product innovation capability, product quality competitiveness, labor productivity and capital productivity of the industries. Second, increased product quality competitiveness, labor productivity and capital productivity positively affects exports of Korean manufacturing industries. Thus, we can conclude that R&D investments in Korean manufacturing industries positively influence exports through increases in product quality competitiveness, labor productivity and capital productivity.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2011.06a
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• pp.345-362
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• 2011

국가 성장동력의 밑거름이 되는 R&D의 중요성이 높아짐에 따라 정부의 R&D 투자는 해마다 큰 폭으로 증가하고 있다. 정부 R&D 투자가 급증함에 따라 동시에 R&D의 효율성에 대한 문제가 제기되어 그 동안 R&D 효율성을 향상시키기 위한 많은 연구가 이루어졌다. 하지만 R&D 전주기 Plan-Do-See 관점에서 살펴보면 대부분의 연구가 기획(Plan)과 성과확산 및 사업화(See)의 문제해결을 통한 생산성 향상 전략 마련에 국한되어 온 것이 사실이다. 국가연구개발사업은 그 사업의 목표, 추진방법, 추진주체, 연구성과, 사업규모, 사업기간 등 다양한 특성에 따라 성공적인 사업운영을 위해 차별화된 관리 지원 시스템(Do)이 필요함에도 불구하고, R&D 효율성을 향상시키기 위한 R&D 지원시스템 관련 논의는 활발하게 이루어지지 않고 있다. 본 연구에서는 다양한 특성을 보유한 국가연구개발사업의 효율성을 향상시키기 위해 국가연구개발사업을 연구기간과 연구비에 따라 크게 4가지로 분류하여 각각의 R&D 특성을 고려한 R&D 지원시스템을 도출하고 그 발전방향을 제시하고자 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.471-478
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• 2020

This study aimed to suggest implications for the future development of agricultural R&D through a priority analysis of excellent agricultural R&D performance considering productivity, marketability, and effects on region, which are important factors of agricultural R&D evaluation. The subjects of analysis were R&D of Rural Development Administration (RDA), which was selected as national R&D excellent Performance from 2006 to 2018, and the priority was analyzed using Analytic Hierarchy Process (AHP). The results are as follows. First, the relative importance of the criteria decreased in the order of marketability(0.423) > regional impact(0.360) > productivity(0.216). Second, as a result of analyzing the relative importance of the sub-criteria, the possibility of commercialization(0.515) was high in the category of marketability. The possibility of technology expansion(0.538) was high in the category of effects on region and the quality improvement(0.464) was high in the category of productivity. Third, the excellent agricultural R&D performance that had high relative importance was the technologies associated with improving the agricultural competitiveness of horticultural crops.

• Journal of Energy Engineering
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• v.29 no.3
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• pp.1-6
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• 2020

A portfolio matrix analysis was conducted to improve R&D productivity of the government-funded R&D projects in the energy sector. 27 projects (42 detailed technologies) in 2018 were evaluated on a 5-point scale in terms of availability and technology competitiveness, and portfolio matrix analysis was conducted twice. The results of the portfolio matrix analysis could provide the landscape of on-going R&D projects at a time and could be utilized as feedback data to establish development strategies for individual projects, while establishing differentiated management directions to improve R&D productivity in each of the four areas of the portfolio matrix.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.321-329
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• 2016

The purpose of this study is to analyze the impact of R&D investment on productivity growth of the Korean Economy in the New Normal Era. To be specific, this study focuses on the impact of R&D capital, other capitals, and total factor productivity(TFP) on the labor productivity during the three periods: 1970-2014, 1970-1997, and 1999-2014. We found out that the change of the intensity in the R&D capital and other capitals significantly impacted on the change of the labor productivity in Korea. In particular, the estimated coefficients of these variables are higher after the period of the IMF financial crisis than before the crisis. We also estimated the marginal productivity of R&D capital investment in terms of the TFP growth. The estimated coefficients of the variables showed stronger effects after the period of the IMF financial crisis than before the crisis. As a result, the increase of R&D investment has been greatly impacted on the growth of the total factor productivity(TFP) after the IMF financial crisis in Korea.

• Environmental and Resource Economics Review
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• v.22 no.1
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• pp.53-76
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• 2013

This paper analyzed on the relationship between R&D productivity of renewable energy and the Emissions Trading Scheme using OECD's country-specific patents and R & D input data. We empirically tested whether this R & D productivity has been substantially improved before and after the implementation of the emissions trading scheme and whether emission trading scheme has been promoted technology progress of renewable energy. Analytical methods used in this study, Negative Binomial Models which was proposed by Hausman et al. (1984). According to the results of this analysis, the R & D productivity of renewable energy was improved by emissions trading scheme, which was statistically significant at the 99% confidence interval [CI]. The R&D productivity of renewable energy was higher in Annex I countries. This research is significant in that R&D productivity was analyzed in associated with the emission trading scheme rather than it was analyzed by simply comparing R&D productivity.

• Journal of Service Research and Studies
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• v.2 no.2
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• pp.1-21
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• 2012

e-R&D means conducting research and development with network or computer software in cyber space. Given the rapid technology paradigm shift and diversified customer needs, companies face the problem of new product and service innovation. This paper introduces the strategic view for e-R&D status, case examples, and e-R&D service. We state e-R&D adoption stages for strengthening the industry competitiveness and IT service utilization.