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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 (Department of Chinese Business & Economics, Hannam University)
  • 권일숙 (한남대학교 중국경제통상학전공)
  • Received : 2018.11.01
  • Accepted : 2019.01.20
  • Published : 2019.01.28

Abstract

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.

본 논문은 정부의 R&D투자 성과에 영향을 미치는 요인을 확인하기 위하여 2009-2013년 IT산업에 투자한 670개 과제를 분석하였다. 그간 R&D투자에 따른 성과는 양적 결과보다 질적 결과를 강조하는 추세로 바뀌었다. 하지만 여전히 기술적 성과 중심의 방식에 의존하고 있으며, 실제로 투입 단계에서 질적으로 우수한 자원투자가 이루어졌는가에 대해서는 상대적으로 관심이 적었다. 따라서 본 연구에서는 투입자원의 질적인 속성에 초점을 맞추고자 한다. 실증분석의 주요결과는 다음과 같다. R&D투자의 기술적성과와 사업화성과에 출연금과 연구원수가 많을수록 개발시간이 길수록 긍정적인 영향을 미치는 것으로 확인되었다. 높은 박사비율은 기술적성과(논문, 특허)에만 긍정적인 영향을 미쳤는데, 이는 개발시간이 평균 2년 이상으로 짧았기 때문으로 판단된다. 반면 공동연구여부는 기술화에 부정적인 영향을 미쳤는데, 이는 이해관계가 상충하는 두 기관 간의 협력은 오히려 성과에 부정적임을 의미한다. 이상의 결과는 R&D투자성과에 투입자원의 질적인 속성은 매우 중요하며, 향후 정부의 R&D투자성과를 촉진하기 위해서는 투입단계의 질적 속성을 강조할 필요가 있음을 시사한다.

Keywords

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Fig. 1. Gross Domestic Spending on R&D of OECD countries, 2015. Source: OECD Homepage(https://data.oecd.org/rd/)

Table 1. OUTLINE OF SAMPLES

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Table 2. DESCRIPTION OF VARIABLES

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Table 3. DESCRIPTIVE STATISTICS AND CORRELATION ANALYSIS

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Table 4. SUMMARY OF REGRESSION ANALYSES

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References

  1. OECD Homepage. https://data.oecd.org/rd/grossdomestic-spending-on-r-d.htm
  2. W. Sul. (2017). A proposal of new policies for improving the performance analysis on government R&D expenditure in ICT industry. Journal of Digital Convergence, 15(5), 151-159. DOI : 10.14400/JDC.2017.15.5.151
  3. KISTEP(Korea Institute of S&T Evaluation and Planning). (2016). 2015 Survey of research and development in Korea.
  4. F. M. Hsu & C. C. Hsueh. (2009). Measuring relative efficiency of government-sponsored R&D projects: A three-stage approach, Evaluation and Program Planning, 32(2), 178-186. DOI : 10.1016/j.evalprogplan.2008.10.005
  5. S. H. Yoon. (2013). Analysis of application and diffusion effect factor of outcomes from national energy R&D project, Master dissertation, Sungkyunkwan University, Seoul.
  6. H. M. Kim, J. W. Yoo & J. S. Ryu. (2013). A study on the relationship between cooperative factors of national R&D projects and performance: Focusing on the moderating effect of projects' characteristics. Korean Journal of Business Administration, 26(3), 695-718.
  7. H. S. Lee, J. S. Lee & J. M. Park. (2015). Technological performance analyses of SMEs based on type of government R&D support, Korea Technology Innovation Society, 18(1), 73-97.
  8. J. Y. Choi & K. B. Kang. (2016). Factors that influence the technological performance of national R&D programs: in the case of the machinery and chemical technology R&D. Journal of Korea Technology Innovation Society, 19(1), 161-190.
  9. S. S. Choi, I. H. Oh & D. M. Lee. (2016). A study on R&D performance analysis of marine technology, Journal of Korean Society for Marine Environment & Energy, 19(2), 165-171. DOI : 10.7846/JKOSMEE.2016.19.2.165
  10. O. A. Carboni. (2017). The Effect of Public Support on Investment and R&D: An empirical evaluation on European manufacturing firms. Thchnological Forecasting & Social Change, 117, 282-295. DOI : 10.1016/j.techfore.2016.11.017