• Journal of Energy Engineering
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• v.6 no.2
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• pp.145-151
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• 1997

The R&D investment of power industry has significant influences on the social welfare as well as national economy. It is necessary to analyze how efficient the R&D investment has been performed. The objective of this study is to verify the efficiency of the R&D investment in the domestic power industry. A formula was introduced to by calculate the appropriate amount of R&D investment of monopolistic industry under the regulations which are determined by the proportion of R&D elasticity and price elasticity. It has resulted that there would be no economy of scale as the sales of electricity increases at the same rate of the increasing cost. The R&D investment in the present electricity industry has been performed inefficiently by showing the negative impact on price-cost margin of the intensity of R&D investment, which is the extent of R&D investment to reinforce economy of scale.

• Journal of Technology Innovation
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• v.19 no.3
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• pp.57-83
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• 2011

We suggested industry-specific priorities of R&D investment with R&D investment elasticity to GDP calculated from the ripple effect of 28 large-sized industry R&D investment, using a Computable General Equilibrium(CGE) Model. Priority orders apply to only 12 industries, because 16 industries with less than 1% of total investment have been excluded. First, R&D investment elasticity to GDP says that priorities are ordered as Basic metal products, Chemicals, drugs and medicines, Food, beverages and tobacco products, Electronic and electrical equipment, Transportation equipment, Precision instruments, Electrictity, gas, steam and water supply, General machinery and equipment, Communications and broadcasting, Construction, Other services, and Real estate and business services. These priorities show the status quo of Korean industry structures well. The GDP growth rate to 2030 year reference equilibrium, which is an auxiliary index, says a similar priority to results from R&D investment elasticity to GDP. In the end, two criteria of priority order can be functioned as a good index for National Science and Technology Commission deciding what industry to invest and what budget to allocate.

• 기계와재료
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• v.23 no.3
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• pp.174-180
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• 2011

R&D 투자 스톡은 요소 투입 주도의 산업 경제 성장에서 총요소생산성 증가에 의한 기술혁신 주도의 성장으로 전환하는데 결정적인 역할을 하는 요소로, 그간 학계에서 폭넓은 논의가 이루어지고 있다. 본 고에서는 국내 최초로 기계산업의 R&D 투자 스톡을 주요국과 비교 분석하고, R&D 투자 스톡을 높이기 위한 정책적 대안을 제시하고자 하였다. 분석결과 기계산업의 R&D 투자 스톡은 2008년 현재 약 44.6억 달러로 추계되어 기계산업 수출 상위 10대 국가 중 가장 낮은 수준으로 나타났으며, 특히 미국, 독일, 일본 등 기계산업 세계 수출 시장 상위 3개국과의 R&D 투자 스톡은 점차 확대되고 있는 것으로 나타났다. 기계산업의 R&D 투자 스톡을 증대하기 위한 방안으로 기계분야의 국가 R&D 사업 확대와 함께, 보유 기술 및 특허의 활용 촉진 지원 R&D 시차를 단축하기 위한 시제품 테스트 베드 구축 및 관련 제도 개선을 제시하였다.

• International Area Studies Review
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• v.18 no.3
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• pp.175-201
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• 2014

This paper analyses the effect of R&D investment on local economies. R&D investment contributes to the regional local economy by increasing employment and production activity of the investees. The investees may end up with increased productivity, sales and employment. At the regional R&D level, the central government R&D fund and firm self R&D budget will be the source of R&D investment. Further positive effects are inter-related with local industries. This study carried out an empirical analysis on the effect of R&D investment on local economies using Korean panel data after comparing international literatures. The dynamic panel estimator is used to estimate an autoregressive model with lagged dependent variable. Using the Da Silva method, mixed variance-component moving-average error process is estimated and selected. R&D investment is very important factor to improve the productivity of a region and the size of the effect is dependent on the time periods within the Korean economic history.

• Journal of Digital Convergence
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• v.8 no.2
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• pp.29-42
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• 2010

To improve the performance of R&D investments, government has taken great efforts for advancing the structure and process in R&D systems. However, due to the drastic internal/external changes in the technological environment and the steady increase of investment scale, the necessity for a innovative approach which accomplishes returns to scale through the utilization of various external resources is emerging. In this regard, open innovation approach can minimize the possibility of government failures by strengthening the absorptive capacity of external resources and enhancing the cooperation and participation of diverse innovative participants within the R&D system. This paper evaluates the previous researches and government policies concerning the performances of government R&D investments, and presents the connectivity between open innovation and its possible contribution to the improvement of R&D investment performances.

• Journal of Technology Innovation
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• v.11 no.2
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• pp.175-193
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• 2003

The purpose of this study is to examine relationship between public R&D investment and private R&D investment in Korea, and to obtain policy implications of the results. To this end, the author attempts to provide more careful consideration of the causality issues by applying rigorous techniques of Granger causality. Tests for unit roots, co-integration, and Granger causality based on an error-correction model are presented. The existence of bi-directional causality between public R&D investment and private R&D investment is detected. This finding has various implications for policy analysts and forecasters. Increasing private R&D investment requires enormous public R&D investment, though there are many other factors contributing to private R&D investment, and public R&D investment is but one part of it. Thus, this study generates confidence in decisions to invest in public R&D. Moreover, this study lends support to the argument that increase in private R&D investment, ceteris paribus, gives rise to public R&D investment. Increase in private R&D investment results in greater national income to be spent on R&D investment and stimulates further public R&D investment.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.150-162
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• 2016

This study empirically analyze the effect of government R&D investment to find out whether it complements or substitutes for the firm R&D. In order to do it panel data set was constructed for the period of three years from 2012 to 2014 based on the number of 1301 data by utilizing national technology information service(NTIS) and publicly announced financial statement. Analysis was implemented in consideration of size of the firm(large corporation, small and medium sized firm) of which sample was obtained from only listed company. The result of two-way fixed effect model and two-way random effect model is as follows. In case of large corporation, government R&D investment has an effect of substitute for the company's R&D on the other hand, small and medium sized firm shows an complementary effect. It verifies that current R&D policy is appropriate. Therefore government's direct subsidy is expected to be successful to fertilize firm's innovation by allocating government R&D budget efficiently.

• Journal of Technology Innovation
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• v.17 no.1
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• pp.1-48
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• 2009

Recently we have found some symptoms that R&D fiscal incentives might not work well what it has intended through the analysis of current statistics of firm's R&D data. Firstly, we found that the growth rate of R&D investment in private sector during the recent decade has been slowdown. The average of growth rate (real value) of R&D investment is 7.1% from 1998 to 2005, while it was 13.9% from 1980 to 1997. Secondly, the relative share of R&D investment of SME has been decreased to 21%('05) from 29%('01), even though the tax credit for SME has been more beneficial than large size firm, Thirdly, The R&D expenditure of large size firms (besides 3 leading firms) has not been increased since late of 1990s. We need to find some evidence whether fiscal incentives are effective in increasing firm's R&D investment. To analyse econometric model we use firm level unbalanced panel data for 4 years (from 2002 to 2005) derived from MOST database compiled from the annual survey, "Report on the Survey of Research and Development in Science and Technology". Also we use fixed effect model (Hausman test results accept fixed effect model with 1% of significant level) and estimate the model for all firms, large firms and SME respectively. We have following results from the analysis of econometric model. For large firm: i ) R&D investment responds elastically (1.20) to sales volume. ii) government R&D subsidy induces R&D investment (0.03) not so effectively. iii) Tax price elasticity is almost unity (-0.99). iv) For large firm tax incentive is more effective than R&D subsidy For SME: i ) Sales volume increase R&D investment of SME (0.043) not so effectively. ii ) government R&D subsidy is crowding out R&D investment of SME not seriously (-0.0079) iii) Tax price elasticity is very inelastic (-0.054) To compare with other studies, Koga(2003) has a similar result of tax price elasticity for Japanese firm (-1.0036), Hall((l992) has a unit tax price elasticity, Bloom et al. (2002) has $-0.354{\sim}-0.124$ in the short run. From the results of our analysis we recommend that government R&D subsidy has to focus on such an areas like basic research and public sector (defense, energy, health etc.) not overlapped private R&D sector. For SME government has to focus on establishing R&D infrastructure. To promote tax incentive policy, we need to strengthen the tax incentive scheme for large size firm's R&D investment. We recommend tax credit for large size film be extended to total volume of R&D investment.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.318-328
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• 2022

The purpose of this study is to analyze the impact of ownership concentration and R&D investment on earnings growth of listed companies in China. For this purpose, this study utilized 14,196 samples from 2,366 Chinese listed companies using the WIND database and conducted empirical analysis by Python. The results of the analysis are as follows. First, the data shows that ownership concentration has a positive (+) impact on revenue growth of Chinese listed firms. Second, ownership concentration has a postive(+) impact on R&D investment of Chinese listed firms. Third, the survey shows that R&D investment has a positive (+) impact on revenue growth of Chinese listed firms. Fourth, the impact of R&D investment on earnings growth of Chinese listed firms has time lag effect. Fifth, R&D investment has a partial mediating effect in ownership concentration and earnings growth of Chinese listed firms. Based on these analytical results, this study proposes measures to promote firms' earnings increase by optimizing ownership concentration and increasing R&D investment in Chinese listed firms.

• 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.