• Title/Summary/Keyword: R&D 연구개발투자

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Study on the Characteristics of R&D Investment Pattern for the Middle Site Companies (중견기업의 R&D투자 특징과 원인 연구)

  • Ko, Sung-Jin;Kim, Karp-Soo
    • Journal of Korea Technology Innovation Society
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    • v.12 no.3
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    • pp.525-544
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    • 2009
  • There's a way to recover unbalanced industrial structure between large size company (LEs) and small size company(SMEs). It's called middle size company (MEs) which can be the magic bullet for Korea to be more healthier than ever. but there are problems with MEs in Korea. Not only the number of MEs is too low compared to developed country's but also the status of amount of research developmental revenue, R&D concentration isn't that satisfied. That's why we need to focus on MEs which was out of center stage until now. Before discussing about how to foster MEs, we need to know what cause MEs makes weak. This research contains actual condition of R&D investment in MEs based on data from Korea information service. Also, survey data can help to know exact factor which make hard to invest research development. Expecially, this research give the answers that relation between the course of growth and concentration of R&D which was observed that has reciprocal relationship.

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An Analysis of Distributed Lag Effects of Expenditure by Type of R&D on Scientific Production: Focusing on the National Research Development Program (연구개발단계별 연구개발투자와 논문 성과 간의 시차효과 분석: 국가연구개발사업을 중심으로)

  • Pak, Cheol-Min;Ku, Bon-Chul
    • Journal of Korea Technology Innovation Society
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    • v.19 no.4
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    • pp.687-710
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    • 2016
  • This study aims to empirically estimate distributed lag effects of expenditure by type of R&D on scientific publication in the national R&D program. To analyze the lag structure between them, we used a dataset comprised of panel data from 104 technologies categorized by 6T (IT, BT, NT, ST, ET, CT) from 2007 to 2014, and employed multiple regression analysis based on the polynomial distributed lag model. This is because it is highly likely to emerge multicollinearity, if a distributed lag model without special restrictions is applied to multiple regression analysis. The main results are as follows. In the case of basic research, its lag effects are relatively evenly distributed during four years. On the other hand, the applied research and experimental development have distributed lag effects for three years and two years respectively. Therefore, when it comes to analyzing performance of scientific publication, it is necessary to be performed with characteristics of the time lag by type of R&D.

Long-run Relationship between R&D Expenditures and Economic Growth (공적분 관계를 고려한 연구개발과 경제성장의 상호관계 연구)

  • Han, Woongyong;Jeon, Yongil
    • International Area Studies Review
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    • v.20 no.1
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    • pp.147-165
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    • 2016
  • We empirically examine the validity of second generation endogenous growth theory suing 21 OECD countries' panel data(1981~2011). Due to non-stationarity in all variables, we test the cointegrated relationships strongly supporting the semi-endogenous growth model. In the estimation of total factor productivity growth function, the growth of domestic and foreign R&D investment levels statistically significantly affect total factor productivity growth. R&D intensity, however, has significant impacts on the total factor productivity growth only in a few models, and international technology gap also has positive impacts on GDP growth. Thus the semi-endogenous growth model is relatively supported while fully endogenous growth model is weakly and occasionally supported in OECD countries. The policy implication of supporting the semi-endogenous growth model is that the sustaining growth requires increasing R&D expenditures.

Analysis on the Factors Influencing Government's R&D Investment Outcome in the IT Industry (IT 산업에 대한 정부R&D투자의 성과에 영향을 미치는 요인 분석)

  • Quan, Ri-Shu
    • Journal of Convergence for Information Technology
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    • v.9 no.1
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    • pp.12-18
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    • 2019
  • The purpose of this study is to analyze the effects of government's R&D investment outcome on the IT industry. The analysis of R&D investment outcome developed emphasizing qualitative outcome more than quantitative outcome. However, it is still leaning on technological outcome-centered methods, having relatively little interest in inputs that actually determine the outcome. Thus, this study intends to focus on the qualitative attributes of input resources. The results of the empirical analysis can be summarized as follows. In raising technological outcome and commercialization outcome of R&D investment, more funds per researcher and numbers of researchers and a longer development period had positive effects. However, a higher ratio of doctors had positive effects only on technological outcome (papers and patents), It is believed that leading to commercialization outcome needed a long period, but the period of task development was only an average of two years. On the contrary, collaboration had negative effects on technological process, which indicates that collaboration between two organizations having conflicting interests would lead to negative effects on the outcome. The results show that the qualitative attributes of input resources have significant effects on R&D investment outcome, and imply that it is necessary to emphasize the qualitative attributes from the input stage to promote government's R&D investment outcome in the future.

Analysis on Efficiency of Government's R&D investment in Renewable Energy (신재생에너지 분야 정부 R&D 투자 효율성 분석)

  • Baek, Chulwoo
    • Journal of Energy Engineering
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    • v.23 no.3
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    • pp.42-50
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    • 2014
  • Korean government has been investing more than 400 billion KRW in R&D on renewable energy. This paper aims to measure the R&D efficiency of national R&D program in the field of renewable energy, and to identify the sources of inefficiency. 4,213 R&D projects supported by Korean government during 2009-2011 are analyzed by using Data Envelopment Analysis and statistical tests. Results implies as follows. First, hydrogen, bio, fuel cell, photovoltaic have higher R&D efficiency than other renewable energies. Second, universities conducted national R&D program more efficiently than firms did, and small and medium sized enterprises are more efficient than large sized enterprises. Third, R&D inefficiency is mainly caused by the lacks of patent performance rather than excessive R&D investment or academic paper performance.

The Impact of Standardization Intensity on Sales Performance: Evidence from Korean SMEs (중소기업의 표준화 집중도가 기업의 매출성과에 미치는 영향)

  • GANG, KwangWook
    • Journal of Korea Technology Innovation Society
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    • v.19 no.3
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    • pp.417-438
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    • 2016
  • The choice of SMEs between standardization and R&D is one of the strategies of building capabilities for achieving competitive advantages under the liabilities of newness and smallness. This paper provides empirical evidence of Korean SMEs choice between standardization and R&D. We hypothesize two possible impacts of standardization intensity on sales performance; a positive linear and a U-shaped relationship. The analysis of data on 821 Korean SMEs from information and technology, and electricity and electronics industries in 2013 shows an U-shaped relationship between relative standardization intensity over R&D and sales performance.

The R&D Investment and Productivity Growth of Korean Economy in the New Normal Era (뉴 노멀 시대하 한국경제의 R&D투자와 생산성 성장)

  • Kim, Seon Jae
    • 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.

Innovation Technology Development & Commercialization Promotion of R&D Performance to Domestic Renewable Energy (신재생에너지 기술혁신 개발과 R&D성과 사업화 촉진 방안)

  • Lee, Yong-Seok;Rho, Do-Hwan
    • Journal of Korea Technology Innovation Society
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    • v.12 no.4
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    • pp.788-818
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    • 2009
  • Renewable energy refers to solar energy, biomass energy, hydrogen energy, wind power, fuel cell, coal liquefaction and vaporization, marine energy, waste energy, and liquidity fuel made out of byproduct of geothermal heat, hydrogen and coal; it excludes energy based on coal, oil, nuclear energy and natural gas. Developed countries have recognized the importance of these energies and thus have set the mid to long term plans to develop and commercialize the technology and supported them with drastic political and financial measures. Considering the growing recognition to the field, it is necessary to analysis up-to-now achievement of the government's related projects, in the standards of type of renewable energy, management of sectional goals, and its commercialization. Korean government is chiefly following suit the USA and British policies of developing and distributing renewable energy. However, unlike Japan which is in the lead role in solar rays industry, it still lacks in state-directed support, participation of enterprises and social recognition. The research regarding renewable energy has mainly examinedthe state of supply of each technology and suitability of specific region for applying the technology. The evaluation shows that the research has been focused on supply and demand of renewable as well as general energy and solution for the enhancement of supply capacity in certain area. However, in-depth study for commercialization and the increase of capacity in industry followed by development of the technology is still inadequate. 'Cost-benefit model for each energy source' is used in analysis of technology development of renewable energy and quantitative and macro economical effects of its commercialization in order to foresee following expand in related industries and increase in added value. First, Investment on the renewable energy technology development is in direct proportion both to the product and growth, but product shows slightly higher index under the same amount of R&D investment than growth. It indicates that advance in technology greatly influences the final product, the energy growth. Moreover, while R&D investment on renewable energy product as well as the government funds included in the investment have proportionate influence on the renewable energy growth, private investment in the total amount invested has reciprocal influence. This statistic shows that research and development is mainly driven by government funds rather than private investment. Finally, while R&D investment on renewable energy growth affects proportionately, government funds and private investment shows no direct relations, which indicates that the effects of research and development on renewable energy do not affect government funds or private investment. All of the results signify that although it is important to have government policy in technology development and commercialization, private investment and active participation of enterprises are the key to the success in the industry.

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Methodology Development for Analyzing Performance of Star Technology using BSC in Construction (BSC를 이용한 건설R&D 스타기술의 성과분석 방법론 개발)

  • Park, Hwan-Pyo;Hong, Tae-Hoon;Chin, Kyung-Ho
    • Korean Journal of Construction Engineering and Management
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    • v.9 no.5
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    • pp.194-203
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    • 2008
  • Construction Research and Development (R & D) projects have been begun with the investment of 1.2 billions in 1994 and have been reached to 30 billions in 2004. During this ten-year period, a total of investment for construction R&D amounts to 125.7 billions (Total 418 construction R&D projects). However, the results of each R&D project could not apply to real construction site because each project has been performed by a small size (0.5 billions). In addition to those, the social interest on the construction R&D projects has not been received and those importance has not been recognized. Especially, there aren't still standardized methodologies or weighted measurement data for evaluating research performance of the construction R&D projects up to now. The construction R&D projects has been Invested on the basis of an annual technology demand survey rather than the research performance outcome. Therefore, it is important to establish a qualitative performance measurement model for evaluating construction R&D projects. This paper proposes a new research methodology for analyzing the performance measurement of the construction R&D projects. First of all, the Balanced Score Card (BSC) is used to evaluate the construction STAR technologies selected in this research. The performance items of BSC has been modified as four criteria such as "productivity, "knowledge accumulation," "training of students," and "welfare." The new research methodology developed in this paper is expected to use in establishing resonable construction R&D budget in the future.

The Effects of R&D Investment on Patent: An Empirical Analysis Using Korean Manufacturing Firm Data (기업의 연구개발투자가 특허에 미치는 영향: 한국 제조업기업을 대상으로)

  • 김태기;장선미
    • Journal of Technology Innovation
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    • v.12 no.1
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    • pp.1-24
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    • 2004
  • This paper analyses the effects of R&D investment on patent in Korean manufacturing firms during the period 1984-99. The data contains 140 companies which listed in Korea Stock Exchange(KSE). We observed that the relative shares of R&D investments and patent applications are much higher in scientific firms than in the other firms. The regression results show that R&D investment has significantly positive effects on the growth of patent application and registration. And the effects of R&D on patent turns out to be stronger in scientific firms than the other firms. The firm size and the capital intensity also have an important effect on the propensity to patent.

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