• 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.

• Journal of Information Technology Applications and Management
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• v.29 no.6
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• pp.23-42
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• 2022

This paper introduces two R&D policy instruments of public R&D and business R&D subsidy into the growth model of endogenous innovation simultaneously, and studies how they respectively affect economic growth, as well as how they interact with each other for the growth effects. Main results are as follow. The growth effects of each instrument are non-monotonous but various depending on the structure of economy. For example, the growth effects of public R&D become positive in the economy of more innovation-friendly structure such as larger marker size, more monopolistic market structure and more patient consumer, but the growth effects of business R&D subsidy become positive in the economy of less innovation-friendly structure such as smaller market size, more competitive market structure and more inpatient consumer. Meanwhile business R&D subsidy does not affect the growth effects of public R&D, but public R&D affects the growth effects of business R&D subsidy. Particularly, in the economy of less innovation-friendly structure public R&D becomes complimentary to business R&D subsidy.

• Knowledge Management Research
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• v.19 no.2
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• pp.1-19
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• 2018

This study aims to identify the causal relationship among public technology transfer, technological performance, and research and development (R&D) productivity. Using the impulse-response function(IRF) of a panel vector autoregressive model (panel VAR), this study suggests the results of how long the factors such as technological performance (patent), public technology transfer, and R&D productivity takes and lasts if a one-unit shock of standard deviation occurs. As a result, first, the increase of public technology transfer activities has no power to increase the technology performance but improve the R&D productivity. If the public institute increases its technology transfer activities by one unit, the R&D productivity will increase within five years. Second, the impact of increasing technological performance on improvement of public technology transfer and R&D productivity is an insignificant. Third, the effect of R&D productivity on the public technology transfer creates a substantial reaction after a current time. Considering the structural relationships among public technology transfer, technological performance, and R&D productivity, if policy makers intend to construct the active R&D circumstance, technology suppliers should be motivated to run the active R&D mechanism because they achieve gains.

• Journal of Technology Innovation
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• v.31 no.2
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• pp.59-82
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• 2023

The purpose of this research is to conduct the empirical analysis of the short- and long-term causal relationship between public R&D investment, corporate R&D investment, and university R&D investment on economic growth in Korea. To this end, based on the time series data from 1976 to 2020, a causality test was conducted through the unit root test, cointegration test, and vector error correction model (VECM). As a result, it was found that there is a long-run equilibrium relationship between economic growth in Korea, public R&D investment, corporate R&D investment, and university R&D investment, in which a causal relationship exists in the long run. Also, while public R&D investment has a short-term effect on economic growth, corporate and university R&D investment does not have a short-term effect on economic growth. In addition, the results shows that there is a bidirectional causal relationship between economic growth and public R&D investment, corporate R&D investment and public R&D investment, and university R&D investment and public R&D investment in the short term. Through this research, it was empirically found that a highly mutual relationship exists between public R&D investment, corporate R&D investment, university R&D investment and economic growth. In order to increase the ripple effect of R&D investment on economic growth in the future, R&D investment between universities and corporations should be mutually promoted, and R&D investment by corporations should have a positive effect on public R&D investment so that public R&D investment can contribute to future economic growth.

• Journal of Technology Innovation
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• v.7 no.1
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• pp.1-13
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• 1999

In this article, we first present an inductive taxonomy of national R&D structures in terms of relative R&D flows among prime actors. The R&D structure of Korea, along with the Japanese one, turns out to be an ill-balanced one characterized by the dominant role of private sector, vis-a-vis the minimal share of public R&D. In nature, private R&D is sensitive to business cycle and the vulnerability of the Korean structure has been invisible under prosperity but now is disclosed under depression. This problem is nothing new and indeed has long been recognized by the Korean government but the prescription seemed almost impossible. Ironically, the current economic crisis of Korea renders an unexpected opportunity for structural reform. As private firms are cutting down R&D investment, the relative share of public sector becomes significant. A simulation predicts that balanced systems will be achieved in some years if public R&D budget is kept up. Although the contraction of private R&D is by no means desirable, it is the right time for the Korean government to expand public R&D. Public R&D should be considered not only a remedy for market-failure but also a shock-absorber against cyclic instability. This is why the balance between public R&D and private R&D is emphasized.

• Korean System Dynamics Review
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• v.8 no.2
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• pp.191-207
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• 2007

Nowadays almost nations try to promote the competition of nation through the development of national science technology. Also Korea has been engaging in this race of through public research&development institute. But recently the commercialization of R&D products appears a poor result in the royalty of technology according weak technology transfer toward IT small and medium-sized enterprises. Even If we have been trying to find the problems and causes, as yet it is true that we don't solve clearly the problem, make a diagnosis about it. This paper analyzes the process of commercialization in public R&D research institute(ETRI: Electronics and Telecommunications Research Institute) through system thinking and researches an interrelationship among government agency, public R&D research institute, and enterprise. This one can find the fact that between research fund and R&D products, transfer technology and royalty, and enterprise's operating profit and active technology transfer like adding technology development is a positive feedback loop. This positive feedback loop in the commercialization of public R&D research institute carries out very important role in examining problems in R&D product's commercialization. Also this paper looks forward to being a guide in the commercialization of public R&D research institute.

• Asian Journal of Innovation and Policy
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• v.5 no.3
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• pp.315-329
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• 2016

Public R&D investment information has diverse implications for researching R&D trends. Also, as it is important for the establishment of R&D policy to grasp the current situation and trends of R&D to improve science and technology level, science and technology information service system, such as NTIS (National Science & Technology Information Service), is operated at a national level in most countries. However, since the data forms provided by current NTIS are raw data, it is necessary to develop the R&D performance indicator or to use additional scientometric methods by analyzing scientific papers or scientific R&D project information for grasping R&D trends or analyzing R&D task results. Thus, this study applied public R&D investment information to investigate and monitor R&D trends in the field of information & communication technology (ICT) of meteorology and climatology by using NTIS data of Korea and NSF (National Science Foundation) data of USA.

• Korean Management Science Review
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• v.25 no.3
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• pp.13-26
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• 2008

We investigate the effect of government and public sector R&D Investment at IT Industry on the amount of Production, export and nongovernment R&D Investment at IT Industry. We, firstly, examine the stationarity of each variable by the unit root t-test and perform the co-integration test for the pairs of variables. We use YECM(Vector Error Correction Model) according to the results of co-integration test for the examination of Granger-causality between variables. It is found that there exist an Granger-causality between public sector R&D Investment and nongovernment R&D investment and also between public sector R&D Investment and export. Secondly, we analyze the impulse response of government and public sector R&D Investment at IT Industry on the amount of production, export and nongovernment R&D investment at IT Industry based on VECM model. It is found that the response of the amount of production is highest at 3th period and is lowest at 8th period and that of export shows similar pattern.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.116-132
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• 2023

Technology innovation companies are focusing on contributing to business performance by R&D project as a strategic tool. Successful R&D leads to corporate competitiveness enhancement, national industrial development, but there are high uncertainty and risks in R&D. Public and private R&D projects are carried out to achieve various purposes. It was verified how the risk management and benefit management of the R&D project affect the detailed R&D project performance between the Public and private domain. The impact of Project Leadership on R&D performance was also analyzed. Those who have participated in the Public and Private R&D projects at companies or research institutes were surveyed. First, it was found that project risk and benefit management have partially an effect on R&D project performance. Second, Public and private R&D Project Leadership showed partially a interaction effect between project management and project performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.5
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• pp.1829-1837
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• 2010

During the last year, public expenditures which provided the central and local governments for boosting research and development (R&D) activities of the private sector has been constantly increasing. 17 percent of public total R&D expenditure supported to private sector and 9 percent of R&D expenditure in service sector were public R&D funding. However, studies evaluating the impact of public R&D subsidies are quite few. The aim of this study empirically investigate the average effects of public R&D subsidies on the innovation activities in private sector, specifically those engaged in Korean service firms by using Propensity Score Matching(PSM) method. The effect of R&D subsidies is derived from either qualitative and quantitative outcomes of innovation activities, which is defined as the difference between innovation outcome of the treatment group (receiving R&D subsidies) and that of the control group (non receiving R&D subsidies) after the matching method. As a result of empirical analysis, government R&D grants stimulate only firm-first innovation outcomes in service firms. It is represent that public R&D subsidies cannot be contributed to level of national innovation and the total amount of national innovation activities but can enhance firm competitiveness from increasing firm-first innovation activities.