• Science & Technology Policy
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• v.2 no.22 s.22
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• pp.27-28
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• 1992

• Science & Technology Policy
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• v.11 no.2 s.128
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• pp.2-20
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• 2001

• 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.

• 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.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.6
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• pp.1-12
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• 2022

This paper put the goal on boosting up early startup investment by delivering and positioning SAFE as the main early startup investment type in Korea. In particular, this paper proves the better fitting of SAFE as to the early stage of venture investment than these of Convertible Note. This paper as referring the previous studies of SAFE as the major keystone issues determining active SAFE applying (legal positioning issue, tax treatment issue, failure of inducing the following investment with uncertainty over maturity) proposes boosting up policy of Korean SAFE. First, as to accounting treatment of SAFE, it suggests SAFE to recognize legally as "the capital" on the Korean Venture Investment Act of introducing SAFE actively as venture investment type. Second, as to tax treatment issue, it proposes on amending venture indication rule as the best alternative of resolving tax issue by accepting SAFE as the investment meeting to venture investment requirement. Third, as benchmarking foreign cases, it delivers the method of modifying foreign SAFE Contract Format by adding up more clauses about safety vehicles against the failure of the following investment and fixing maturity date and event. Ultimately, all resolutions of this paper fall on highlighting the role of Korean Venture Investment Act and Ministry of SMEs and Startups.

• Economic Analysis
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• v.25 no.2
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• pp.132-176
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• 2019

We use a time-varying parameter vector auto regression (TVP-VAR) model to understand the impact of U.S. monetary policy normalization on Korean financial markets and capital accounts. The U.S. monetary policy is represented by the federal funds rate, term premium and credit spread. During the U.S. monetary contraction period of 2004 to 2006, changes in the federal funds rate presented negative pressure on Korean financial markets. The changes in federal funds rate also led to a simultaneous contraction in inward and outward capital flows. However, the effects of a federal funds rate shock has been reduced since 2015. On the other hand, the effects of U.S. term premiums is getting stronger after the period of quantitative easing (QE). The influence of the U.S. credit spread also significantly increased after the global financial crisis. Simulation results show that a rise in the U.S. credit spread, which can be triggered by a contractionary monetary policy, can pose a larger adverse impact on the Korean economy than a rise in the federal funds rate itself. As for capital flows, a U.S. monetary policy contraction causes an outflow of foreign investment, but the repatriation of overseas investment by Korean residents can offset this outflow.

• 한국디지털정책학회:학술대회논문집
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• 2005.11a
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• pp.567-579
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• 2005

정보기술의 급속한 발전은 기업환경에 많은 변화를 불러 왔으며 일반 기업들이 기업 경쟁력을 강화하기 위한 중요한 수단으로서 정보기술을 도입하는 추세이다. 대다수 기업의 최고경영자는 기업의 경쟁력 우위를 지키기 위해 도입하는 정보기술을 선택이 아닌 필수로 인식하고 있으며 기업의 경영전략과 연계시켜 다양한 정보기술을 기업에 도입해서 활용하고 있다. 본 연구에서는 기업의 최고경영자 특성이 정보기술에 대한 투자 선택 시 어떠한 영향을 미치는 지에 대해 알아보고자 하였다. 연구방법으로는 기존 연구 자료와 관련 문헌들을 고찰해보고 인터넷 검색 등을 통해서 학술지와 기존 논문들을 참고했으며 기업에 도입된 정보기술들과 최고경영자의 영향을 분석하기 위해 설문지 조사들 실시하고 조사결과를 분석해 보았다. 정보기술 투자 결정요인을 알아보기 위해 최고경영자의 성격과 정보기술 투자 유형과의 관계, 리더십과 투자유형과의 관계, IT에 대한 신념도와 정보기술투자유형과의 관계를 분석하였다. 연구의 결과 최고경영자의 성격, 리더십유형, IT에 대한신념도 중에서, 최고경영자 리더십유형이 기업의 정보기술 투자유형에 많은 영향을 주는 것으로 나타났다. 이 연구는 기업내의 정보기술 투자유형에 대한 결정요인을 분석하고 그 결정요인을 찾아내어 정보기술 도입 전략에 도움이 되는 자료를 제공하는데 그 의의가 있다고 할 수 있다.

• KDI Journal of Economic Policy
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• v.9 no.2
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• pp.89-108
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• 1987

우리나라 공기업경영(公企業經營)의 효율성제고(效率性提高)를 위하여 1984년 25개정부투자기관(個政府投資機關)에 도입한 책임경영제도(責任經營制度)와 그에 따른 경영실적평가제도(經營實績評價制度)의 효과(效果)를 측정하기 위하여 매출원가율(賣出原價率) 개선정도(改善程度)에 관한 계량분석과 경영개선 전반에 관한 설문분석(設問分析)을 실시하였다. 정부투자기관(政府投資機關) 임직원(任職員)을 대상으로 한 설문조사(設問調査)에서 전체 응답자의 79%가 정부투자기관(政府投資機關) 최고경영진(最高經營陣)의 경영개선 의지가 과거보다 새로워졌거나 아주 참신해졌다고 응답하였고 사장(社長) 이외 일반직원들의 경영개선을 위한 의식구조 변화에 있어서도 전체 응답자의 72%가 어느 정도 변하였거나 크게 변하였다고 응답하는 등 경영분위기(經營雰圍氣)가 전반적으로 크게 변화를 겪고 있음을 나타냈다. 또한 새로운 공기업정책(公企業政策)의 경영개선(經營改善) 효과(效果)를 계량적으로 분석한 결과 산업은행 등 25개정부투자기관(個政府投資機關)의 1984~86년간 원가절감액은 단순평균치 기준으로는 1조(兆) 1,281억(億)원으로 추정되었으나 신뢰구간 등을 고려한 순원가절감액(純原價節減額)은 2,983억(億)원으로 나타났다. 이러한 성과에도 불구하고 인사관리제도(人事管理制度) 운영(運營)에 대한 불만 잔존 및 경영계획의 실효성 미흡 등의 문제가 제기되고 있는바, 관련 정책당국의 보다 적극적인 책임경영제도(責任經營制度) 운영이 요청되고 있다.

• International Commerce and Information Review
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• v.14 no.1
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• pp.171-195
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• 2012

This paper is aimed to prepare some policy-measures which is helpful for China Money FDI in Korea by analysing FDI-related data and political strength and weakness between the two countries and studying fundamental preconditions required for Korea's China Money FDI strategies. As the result of research, key preconditions found out can be summarized as follows; First, because China-Korea economic relationship is largely insufficient in a complementary view as well as in a cooperative state level, Korea should remove the threats in advance that could lead two countries to unlimited competition, and then expand to a relationship of trust between China and Korea. Second, Korea, at least from the perspective of China, may not be an attractive investment destination. Therefore, it is necessary to take advantage of Korea's FTA-expansion-strategy opportunities such as Korea-US FTA which has entered into force recently. Third, because China always has a lot of alternative investment opportunities among world instead of Korea, so Korea should not overlook the fact that China has the bargaining power in large part related on the investment conditions in Korea, such as investment field, investment size, how to invest China Money to Korea, etc. Fourth, if Korea's FDI policy is trapped in the existing rules of the political frame, and moreover Korea can not have the role of rule breaker, it will be difficult to expect Korea's China Money FDI results compared to those efforts. Fifth, if Korea will execute China Money FDI strategies in the context of overestimating the China Power or China Money, it should be noted that Korea may have unexpected losses lead to a national by reason of outward and quantitative investment or bad investment.

• Knowledge Management Research
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• v.24 no.3
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• pp.195-215
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• 2023

In the telecommunications service industry, until now, it has been possible for Network Operators (NOs) to secure a competitive advantage to increase subscribers and profits through network investment. However, amid a big change to digital economy, network investment fails to lead to increase profits. These days platform companies without holing network infrastructure have a more competitive advantage and take more profits. This makes NOs gradually lose interest in network investment. The purpose of this paper is to find policy measures to promote network investment in digital economy. Specifically, we identify the factors influencing the network investment and promising policy measures energizing the investment, and then analyze their priorities and derive policy implications through Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP). The results of this paper show that market competition is more preferred to public intervention in promoting network investment. However, in order to guarantee and expand the universal access to network, it is necessary to consider expanding the role of the public, focusing on non-economic areas.