• Proceedings of the Korea Technology Innovation Society Conference
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• 2005.05a
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• pp.18-32
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• 2005

본 연구는 IT 기업의 R&D활동의 성과를 파악하는 것을 목적으로 한다. 공공 R&D의 성과에 대한 연구는 상당부분 진척이 이루어졌으나, 경제의 주체인 민간기업의 R&D 활동에 대한 연구는 부족한 실정이다. 이 연구목적을 위하여, 기업의 재무자료를 이용하여 R&D투자액을 집계하였으며, IT기업의 경영성과도 분석하였다. 분석한 결과를 간단하게 요약하면, 다음과 같다. 첫째, IT기업은 대기업의 R&D투자 비중이 $93.6\%$에 달한다. IT R&D 투자 상위 10개 기업이 IT 산업에서 매출액의 $71\%$, 종업원의 $61\%,$ R&D 투자의 $87\%$를 차지한다. 둘째, 기업의 투자활동은 선택과 집중의 원칙에 따라 R&D 투자에 주력하는 경향이 강해졌다. 유형자산투자는 급격한 감소를 보이는 반면, R&D투자는 증가하고 있다. 셋째, IT 중소기업의 R&D투자는 한계가 있을 수밖에 없다. 본 연구에서 나타난 분석결과의 시사점을 보면, IT 중소기업의 R&D 투자는 한계가 있을 수밖에 없다. 따라서 중소기업의 R&D투자의 효율성을 높여주는 한편, 미래성장의 seed에 대한 준비와 단기 개발연구를 통해 기업의 수익에 기여할 수 있도록 해야 할 것이다. 또한 IT 대기업과 중소기업의 R&D에 대한 효율적인 네트워크를 구축하는 것도 IT기업의 활성화를 위해 요구된다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.1401-1413
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• 2017

신약개발은 많은 투자비와 시간이 필요하면서도 성공률이 낮아 위험성이 높은 분야로, 국내 제약 기업의 투자 역량과 인력이 부족하여 민간 R&D 투자만으로는 한계가 있다. 현재 바이오 분야 중 신약 분야에 가장 많은 정부 R&D 예산이 투입되고 있으나, 특정 단계가 아닌 신약 개발 단계 전주기에 걸쳐 지원하고 있기 때문에 투입 예산을 효율적으로 활용하여 성과를 창출하기 위해서는 투자 현황에 대한 분석이 필요하다. 본 연구에서는 정부 R&D 사업 중 신약개발 과제를 대상으로 신약개발 단계, 의약품 종류, 대상 질환을 기준으로 정부 R&D 투자 현황을 분석하고자 한다. 이는 향후 신약 분야의 경제적 성과 창출을 위한 정부의 투자 방향과 전략 수립에 활용 가능할 것이다.

• Journal of Technology Innovation
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• v.21 no.1
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• pp.1-26
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• 2013

The objectives of this paper are to analyze the effect of government R&D expenditure on employment in the Korean manufacturing sector in which employment is rapidly declining. According to the results of our empirical analysis, government R&D expenditure decreases the level of employment in Korean manufacturing sector in short term period, but it has positive effect on employment by compensation effect in the middle and long term period. Second, the effect of private R&D expenditure on job creation is three times larger than that of government R&D expenditure. Third, costs of labor and capital has negative effect on employment. This study is believed to help understanding the relation between R&D expenditure and employment, and providing policy implications of how to plan and manage government R&D expenditure as a tool of job creation.

• Journal of the military operations research society of Korea
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• v.34 no.1
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• pp.79-98
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• 2008

The purpose of this paper is to find the desirable R&D policies in defense area by analyzing causality between GDP and R&D investments in government, private, defense sectors. We have five variables which are composed of GDP, total R&D investment, R&D investments in government, private and defense sectors to figure out the causality between R&D investment in defense sector and other components. In the course of analysis on causality, we took the unit root test of variables to prevent spurious regression. Also we need to take cointegration test about non-stationary variables before the causality test. According to these test results, we took the causality test using ECM(Error Correction Model) for the models which have cointegrating relations. And we took ordinary Granger causality test for model which doesn't have a long-run stationary relationship. As a result of the causality test, it was shown that there exists the long-nu causality to GDP and R&D investments in government and private sectors from other variables. However, there doesn't exist the causality to defense R&D investment from other variables. We found that there doesn't exist the causality between R&D investments in defense and private sectors, and that they are independent.

• Journal of Technology Innovation
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• v.18 no.1
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• pp.75-98
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• 2010

The purpose of this paper is to give policy implications for relevant policy-makers by analyzing factors affecting performance of industrial R&D programs of the Ministry of Knowledge Economy. The independent variables are type of project leader organization(Big Enterprises, SMEs, Ventures Businesses, Public Research Institutions, Universities), cooperative or noncooperative R&D among industry-university-research institution, total number of project participant organization, total R&D investment, and the ratio of private investment to total R&D investment. The dependent variables are domestic or foreign patents granted and domestic or foreign papers accepted. The method of analysis is Poisson Regression analysis operated by STATA. The results of this research are follows ; Universities show higher R&D performance compared to enterprises or public research institutions in terms of patents and papers as well. Venture businesses show higher patent performance compared to SMEs. Inverted U-shaped relationship between total number of project participant organization and R&D performance is not supported. The higher total R&D investment, the higher R&D performance. The higher the ratio of private investment to total R&D investment, the higher R&D performance.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.1-21
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• 2007

Among numerous policy influencers' and researchers' advices and policy suggestions, there is little opposition to the proposition that technology is essential to the economic development. The role of technology has never been more emphasized than today in Korea as in any other countries. The effects of the government's innovation policy on corporate R&D activities and more broadly the economic welfare of a whole nation are widely recognized with intuitional and empirical evidence. That is, various R&D incentives reduce the marginal cost of a firm's R&D efforts, inducing as much increase of its R&D investment to result in a better chance to acquire target technology. This paper examines the impact of R&D incentives on the technological outcomes by analyzing individual firms' investment behaviors subject to the government's R&D incentive policies. An econometric model of technological outcomes is estimated on a project level with cross-sectional data. "Probit model" is employed for estimations. Special attention was given to the effectiveness of R&D programs by estimating policy impact by types of investment. The data were collected from 928 different R&D projects completed between 1987 and 1993. With the single equation approach, we were able to find that the structure of investment is a far more significant factor in technological outcomes than the total amount of investment. The analysis also shows that the two types of firms' matching investment, in-kind and cash, do not bear a complementary, but a substitutive relations to each other. It also reconfirms the proposition that R&D incentives increase firm's financial investment. Despite many supportive studies emphasizing the cooperation between innovation performers, it is also found that the larger the number of institutions involved in a project, the less likely it leads to a technological success, And meeting the proposed deadlines without postponing is estimated to be a good barometer to predict the outcome of an R&D project. Also the probabilities of success for major variables are represented for policy implications, after calculating marginal effects.

• Clean Technology
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• v.17 no.2
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• pp.181-188
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• 2011

In this study, the complementary or crowding-out effects of public R&D subsidy on private R&D investment in the cleaner production were analysed between the effects and the major determinants (company size, R&D investment intensity, ratio of government investment, R&D manpower intensity). Among 207 firms' projects, the number of the complementary effect was 95 (45.9%) while that of crowding-out effect was 38 (18.4%). Resulting from logistic regression, the higher the R&D investment of sponsored companies is, the more complementary effect they show, responding to public R&D subsidy, and increase own R&D investment. The other determinants, however, showed no significant effects on firms' R&D investment. To heighten the effect of public cleaner production R&D, it is need to increase the priority of R&D investment intensity among the determinants. And to increase the performance of governmental R&D investment, further studies for the individual public R&D programs are necessary.

• Journal of Technology Innovation
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• v.24 no.2
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• pp.91-113
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• 2016

The purpose of this study is to examine the causal relationship among R&D spending and variables of technology trade, and to explore promoting R&D activities and revitalizing technology trade. To analyze the causal relationship, we built a multivariate model that consists of government R&D spending, private R&D spending, technical importation and export of techniques, and employed the Granger-causality test based on an error correction model. The results show that there are five Granger-causality relationship among them in the short run, as well as there are eleven Granger-causality relationship among a total of twelve causal relationship, excluding only a unidirectional causality relationship from the government R&D spending to the export of techniques, in the long run. Besides, we attempted the impulse-response analysis on them to observe the reaction of any dynamic system in response to some external change. The significance of this paper is to make sure the causal relationship between R&D investments and the technology trade by analyzing empirically, and to suggest several implications for promoting the R&D activities and revitalizing the technology trade.

• Journal of Technology Innovation
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• v.24 no.2
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• pp.57-89
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• 2016

This paper used individual establishment level data to estimate the effects of government support for the research and development of 'small and medium enterprises'(SMEs). We analyzed, on the establishment level, the degree of technical advancement, strength of private R&D incentives, and the effect on employment levels of firms which participated in the 2010 government R&D support project. The results of this study are as follows. First, the size and frequency of government investment in the R&D of SMEs were both positively correlated with the amount of patent registrations. Furthermore, we found that the amount of patent registrations were positively correlated with the size of the establishments, but the average level of technological advancement for the firms running the research was lower than the average level of technological advancement for the firms merely participating in the project. Second, the government's R&D policy was found to be complementary to private R&D incentives, and a 1% increase in government R&D investment resulted in an inelastic increase (0.193~0.245%) of the firms' post-program R&D spending. Third, we found that R&D support from the government contributed to an increase of employment by the participating firms. Additionally, we found that the impact of R&D support on job creation varied for the firm size and technological characteristics. Therefore, it is important for governments to take into consideration each type of small business, when setting R&D policies.

• Journal of the Society of Disaster Information
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• v.11 no.4
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• pp.467-474
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• 2015

This study is about the demand survey of R&D for preventing disaster and safety accidents. The results are as follows. First, the priorities of technology development is shown in the following order: natural disasters, human and social disaster, and safety accidents. Second, the amount of R&D investment is shown in the following order in respect of disaster management phase: prevention, preparedness, response and recovery. However, investment in the recovery phase was low. Third, it was concentrated on some types the demands of technological development in the public sector. There is a possibility of duplication of technology development in government investment. Suggest that interagency cooperation is required.