• STI Policy Review
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• v.3 no.1
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• pp.46-62
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• 2012

This study investigates the effects of the two most important indicators of a nation's state of scientific infrastructure: R&D investment and the number of R&D researchers engaged in high-tech product export competitiveness for a panel of 11 countries/economies from East Asia from 1994 to 2010. A GMM panel estimation method was employed to account for the dynamic effect of trade and to control for un-observed country specific effects that may arise due to an inter-country differences and intra-country dynamics. Accordingly, the empirical results reveal that (once controlled for the influence of per capita income) physical capital and infrastructure, a 1% increase in a country's expenditure on the ratio of R&D to GDP may increase high-tech product export performance by approximately $397 million per year. Other factors constant, a 1% increase in the number of R&D researchers is expected to increase the ability to export high-tech products by approximately $67 million. The East Asian development experience demonstrates how latecomers can follow systematic industrialization and join the handful of economies that have come a long way toward closing the knowledge gap with the global technological leaders. However, this does not mean that the policy approaches and overall commitments pursued by each East Asian economy in relation to R&D investment and acquisition of an adequate pool of researchers, and their ultimate achievements in high-tech product export competitiveness were uniform. As a result, there is still a significant variation among countries/economies in terms of performance. This study recommended a number of potential tools and policy instruments that may assist policy makers to foster R&D as an engine to enhance the high-tech product export competitiveness.

• STI Policy Review
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• v.3 no.2
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• pp.79-91
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• 2012

With the globalisation of the world's economies and the increasing role of multinational corporations in the generation of knowledge, global research and development (R&D) activities in emerging countries are following a new trend. This paper describes case studies of two large companies and discussion of the motives (demand vs. supply) and tasks (demand-driven vs. supply-driven) of R&D activities outside their home country. This work is based on an analysis of four overseas R&D units of two Korean ICT companies - here, ICT refers to goods and services in the information technology and communication technology fields - in India and China. The research findings are as follows: (1) The overseas R&D activities of Korean ICT enterprises in emerging countries may be driven by a combination of demand and supply factors of host countries; and (2) Korean overseas R&D centres in emerging countries may need to carry out both demand- and supply-driven tasks in view of the overlap between demand and supply factors of the host countries. Based on the results of this research, the following policy implications can be drawn for encouraging more effective overseas R&D activities of Korean enterprises in emerging countries. First, the government needs to expand the support systems so that enterprises can manage local R&D centres more effectively and actively use the variety of local support systems and useful information. Second, the government needs to expand the support systems so that the overseas R&D centres of Korean enterprises revitalise collaborations with locally excellent universities and research institutions.

• Science & Technology Policy
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• v.18 no.5
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• pp.62-70
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• 2008

• Economic and Environmental Geology
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• v.51 no.3
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• pp.279-289
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• 2018

With the launch of the new government in 2017, National Planning and Advisory Committee (NPAC) announced the five-year plan for the government administration and the 100 national tasks. The Ministry of Science and ICT (Information & Communication Technology) (MSIT) and other government agencies issued work plans for 2018, including R&D plans. Analyzing the changes in government policy will be a major task of public research and development institutions. This study analyzed the changes of the R&D policy of the new government and the R&D policy direction and strategic plan of the government departments related to the geoscience and mineral resources in 2018. The results of the analysis are as follows: 1) to lead the innovation growth through the 4th industrial revolution, 2) to supply clean energy and to cope with climate change in the environment and energy field, 3) to improve the quality of life through problem solving in the life of the people and disaster prevention. Considering the investment direction of the government, it is necessary to lead the geoscience and mineral resources R&D to solve problems of the society and to grow by the science and technology.

• Proceedings of the Technology Innovation Conference
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• 2006.02a
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• pp.170-186
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• 2006

The guarantee funds for government policy fund, venture capital investment fund, technology guarantee debt are the core parts of the external financing system in the constant technology innovation company. However, the enterpriser's requirement to keep the technology innovation with minimized management intervention and policy maker's hope to advance technology development with clear operation of funds is enough to request for research of the project investment plan to the R&D project. This paper will analyze whether technology innovation company that creates cash flow prefers to the project investment as a financing program or not, and if prefers, what characters of company affect on this preference. The more the company that pursuit the additional R&D activity separated to on-going items becomes over the fixed size, the more prefers the project investment as future external fund-raising. Together with that, this paper suggests that we can apply the plan like special purpose vehicle, SWORD(Stock Warrant Off-Balance sheet R&D) and R&D Limited Partnership as R&D project investment policy, and improve the system itself.

• STI Policy Review
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• v.3 no.1
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• pp.80-95
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• 2012

Few studies have focused on the impact of R&D outsourcing on technological innovation and productivity despite the increased importance of R&D outsourcing. This study analyzes the productivity effects of investment in R&D outsourcing with a sample of Korean manufacturing industries from 2001 to 2009. The estimation results show a nonlinear U-shaped relationship between productivity and the share of R&D outsourcing capital for total R&D capital. This implies that the cost of R&D outsourcing outweighs its benefits in the early stages of R&D outsourcing. The U-shaped relationship is particularly pronounced in high-technology industries.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.209-227
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• 2012

This study intends to develop R&D policy agendas that are required to prepare a smart library/smart society in Korea libraries. To the end, methodology was established to explore policy issues and agenda for library R&D, and the preliminary agendas were drawn from informetrics, subject analysis, and brainstorming techniques. Then, the preliminary agendas were revised through supplementary works, such as the comprehensive investigation into research papers and the recent research projects. Based on the results, evaluation for the R&D agendas was performed. The Analytic Hierarchy Process (AHP) method was used as a structured technique for analyzing the importance and the priority of the agendas. This study can be used for improving and/or expanding quality of information services in Korean libraries and for exploring the requirements to play a crucial role in the future society.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.2
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• pp.191-204
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• 2024

This study analyzes the effects of manufacturing firms' R&D investment on sales according to global political economic uncertainty. The variables in this research include the firm's R&D investment, sales, which serves as an indicator of the firm's performance, and the Global Economic Policy Uncertainty (GEPU) index, which reflects situations of global political economic uncertainty. Panel data analysis is conducted by using a total of 96 quarters of data spanning 24 years from 2000 to 2023 based on manufacturing firms in the Wharton Research Data Services' Compustat Database. We study the impact of firm's R&D investment on sales by considering the Global Economic Policy Uncertainty index, which was relatively underestimated in previous research, as moderating variable, and present a new direction for research by analyzing the time lag effect. We suggest effective R&D investment strategy for firms.

• Korean System Dynamics Review
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• v.5 no.2
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• pp.125-147
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• 2004

System dynamics model has been developed and computer simulation has been peformed for the evaluation of R&D policy. One of the main results of the basecase scenario is as follows. After simulation of nuclear R&D resource allocation strategies, we discovered that their net benefit value was maximum at 130% nuclear R&D budget case. And after simulation of human resource management strategies and policy research program strategies, we confirmed that it is beneficial to allocate budgets in the early phase for human resources management program and research program for the policy.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.14 no.2
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• pp.137-140
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• 2011

Research and development (R&D) is very important to acquire new knowledge in various fields. The significance of public R&D is also increasing, especially related to health policy making, establishing basic databases, and enhancing basic and clinical science. The total budget of general public R&D in Korea was approximately ten billon US Dollars in 2008, but the proportion of health care research was just below 10%. In private sectors, it was three times the amount allocated to the public budget. In this article, recent trends in public R&D in Korea, especially related to health care policy and biotechnology are summarized. A brief overview of the application process for a specific policy fund is also described for early-stage researchers in these fields.