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조가원 ( Ka Won Cho ) 기술경영경제학회 2010 Journal of Technology Innovation Vol.18 No.1
이 논문에서는 2008년 한국제조업혁신조사를 이용하여 다양한 기업특성이 연구개발 정부지원의 수혜에 어떠한 영향을 끼치는가를 분석한다. 분석에는 정부지원 수혜 여부를 다양한 기업특성에 대해 회귀분석한 프로빗 모형이 이용되었다. 이 논문은 연구개발 정부지원의 수혜대상 선정 문제를 프로그램 단위가 아닌 국가 전체의 차원에서 본격적으로 다루었다는 점에서 의의를 지니며, 특히 지역 및 산업 변수의 영향을 분석한 것은 최초의 시도로 평가될 수 있다. 또한, 정부지원의 사전적 정책목표의 달성 여부를 실증분석 결과에 비추어 평가한다. 분석 결과, 기업규모와 수출이 정부지원 수혜에 긍정적인 영향을 끼치는 것으로 나타났으며, 혁신기업 지정, 연구소 보유, 연구인력 등 기업이 보유한 혁신 역량 또한 수혜확률을 높이는 것으로 나타났다. 또한, 산업별로는 화학산업과 자동차 산업이, 지역별로는 대경권 및 부경권이 특히 유리한 것으로 나타났다. The goal of this paper is to analyze the effects of various firm characteristics on the probability for a firm to receive government`s financial supports for R&D. In the empirical analysis, a Probit model is estimated for the 2008 Korea Innovation Survey data. The main contribution of the paper is to investigate the distribution of R&D supports at the national level, instead of the program level. Especially, it is the first academic effort to evaluate the effects of regional and industrial variables. The results show that: (1) firm size and export increase the probability of receiving government`s R&D support; (2) variables measuring firms` innovative ability, such as official designation as innovative firm, running R&D institute, number of R&D personnel, also have significantly positive effects; (3) firms in the chemical and automobile industries are more likely to receive R&D supports; and (4) firms in Teakyoung and Bukyoung regions are more likely to receive R&D supports.
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홍성민(Seong-Min Hong),성경모(Kyung-Mo Sung),박기범(Kibeom Park),조가원(Ka-won Cho),엄미정(Mi-Jung Um),손경현(Kyoung-hyun Son),오진숙(Jinsook Oh),정미나(Mina Jung),김소영(Soyoung Kim),김유선(Yusun Kim) 과학기술정책연구원 2016 정책연구 Vol.- No.-
In this study, systematic comprehensive diagnosis of the micro-research environment faced by researchers of government-funded research institutes was conducted. For this purpose, we constructed a research environment analysis framework for creating superior research results and conducted quantitative and qualitative analysis through questionnaires and interview surveys. Based on the results of questionnaires conducted on 548 researchers who work in 26 government-funded research institutes in science and technology fields, the analysis of the influential factors on quantitative and qualitative research results was analyzed using OLS and ordered logit model. And we conducted a semantic network analysis on the results of the interviews conducted on the researchers working in three types of technical fields such as basic, public and industrial technology. The main results of the study are as follows. First, when pursuing quantitative achievements such as papers and patents, the existence of a research team who will continue to study core research topics is a key factor. Second, in order to create representative performance such as researcher growth and creative ideas among the representative achievements that are recognized to reflect excellent performance in quality, it was important to increase the R & D process and support level among research environment factors. Third, variables such as research autonomy and research commitment do not largely affect the evaluation of representative performance reflecting qualitative performance as well as quantitative research performance, so additional in-depth analysis is needed. Fourth, it can be interpreted that the level of operation or the human resources management in the government-funded research institutes is not able to mobilize the researchers or obstruct the researchers in the direction of giving excellent research results. Based on the results of this analysis, the main policy directions for improving the research environment are as follows. First, based on detailed comprehensive diagnosis, it is necessary to plan and promote the research activity reform policy throughout the institutional operation process, research and development process, human resources and career development process of government–funded research institutes. Secondly, it is necessary to implement strategies that can enhance the creativity of researchers in the whole system ranging from R & D planning to evaluation. Especially it is important to establish mid and long term evaluation system for individual and institution and to improve autonomy to secure excellent talent. Third, in the case of human resources and career development process, it is most urgent to link with R & D activities and achievements. Finally, it is urgent to eliminate factors that inhibit creative research results based on the improvement of diversity and autonomy in the institutional management process of government - funded research institutes. To this end, it is necessary to overhaul the uniform evaluation system of government-funded research institutes.
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