• 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.

• 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.

• 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 Korean Academy of Nursing Administration
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• v.22 no.1
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• pp.67-79
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• 2016

Purpose: To develop strategies for research and development (R&D) in nursing service based on the policy direction of government supported R&D in Korea. Methods: This was a descriptive study to develop strategies for promoting R&D in nursing by analyzing investment trends and status quo, policy directions, and implementation of the details of government supported R&D through government reports, websites of relevant agencies and literature reviews. Results: Few nursing experts participated in clinical research on overcoming major diseases and in R&D for well-being and care. Development of nursing topics that meet the direction of government supported R&D were lacking. Insufficient implementation of nursing service R&D in a timely manner equipped with a performance-based system. Few research studies in R&D projects that included research using big data or contributing to developing medical instruments. Finally, an insufficient number of nursing specialists participated on government R&D advisory committees. Conclusion: For nursing service R&D development efforts should be toward quantitative expansion and qualitative improvements by sensitively recognizing policy direction of government supported R&D. The promotional capacity of nursing service R&D must be reinforced through a multidisciplinary approach and collaborative association with other professionals and the inclusion of nurse specialists on government R&D advisory committees.

• Journal of the korean academy of Pediatric Dentistry
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• v.24 no.3
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• pp.610-627
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• 1997

The purpose of this study was to compare the caries activity and cariogenic factors in children in different residence areas. The subjects of the study were 268 kindergarten children who were selected from the downtown area(D), apartment area(A), suburban area(S), and rural area(R) in and around the city of Iksan, Korea. Caries activity was measured as past caries experience (dft index and dfs index) and salivary reductase activity (Resazurin Disc Test scores). Cariogenic factors were investigated by a questionnaire. The results were as follows: Reductase activity S > R > D > A dt index R, S > D, A ft index D - the highest dft index A - the lowest ds index R - the highest fs index D - the highest Toothbrushing frequency A - the highest, R - the lowest Toothbrushing before bed D, A > S, R Toothbrushing by parents S, R > A, D Sweets intake freqeuncy A - the highest, S - the lowest Distance to dental office D < A < S < R Dental treatment experience D - the highest, A - the lowest Flouride application rate D > S > R > A Sealant application rate D > A, S > R Birth order A, S > R, D Age D > S > R, A

• International Area Studies Review
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• v.13 no.3
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• pp.439-458
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• 2009

In this paper, Two countries have invested directly using the two models Multinational Enterprises, foreign companies doing R&D subsidy policy analysis in their activities to attract. Multinational Enterprises to get the spillover effect from competitors, the introduction of subsidiary R&D resources with an incentive to R&D activities. The government has established a subsidiary to bring the country to foreign Multinational Enterprises for the purpose of improving the technological capabilities of Multinational Enterprises with their parent company R&D to increase the resources by foreign companies in their R&D investment to subsidize R&D activities that have an incentive to attract. In addition, foreign companies and government cooperative R&D by two things also increase the rate of funding for activities to bring the two subsidiaries of multinational R&D has increased the amount of additional resources, the economic interests of both countries get more will increase.

• Kyungpook Mathematical Journal
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• v.55 no.1
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• pp.1-12
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• 2015

Let R be a ring and $D:R^n{\longrightarrow}R$ be n-additive mapping. A map $d:R{\longrightarrow}R$ is said to be the trace of D if $d(x)=D(x,x,{\ldots}x)$ for all $x{\in}R$. Suppose that ${\alpha},{\beta}$ are endomorphisms of R. For any $a,b{\in}R$, let < a, b > $_{({\alpha},{\beta})}=a{\alpha}(b)+{\beta}(b)a$. In the present paper under certain suitable torsion restrictions it is shown that D = 0 if R satisfies either < d(x), $x^m$ > $_{({\alpha},{\beta})}=0$, for all $x{\in}R$ or ${\ll}$ d(x), x > $_{({\alpha},{\beta})}$, $x^m$ > $_{({\alpha},{\beta})}=0$, for all $x{\in}R$. Further, if < d(x), x > ${\in}Z(R)$, the center of R, for all $x{\in}R$ or < d(x)x - xd(x), x >= 0, for all $x{\in}R$, then it is proved that d is commuting on R. Some more related results are also obtained for additive mapping on R.

• Journal of Technology Innovation
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• v.20 no.2
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• pp.109-134
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• 2012

In this era of globalization and fierce competition, R&D is an essential part of corporate development strategy. Accordingly, much effort has been devoted to identify and verify best practices for successful R&D and to improve R&D processes. Nevertheless, there is still lack of a comprehensive framework for assessing the quality of R&D process, which can be used as a step-by-step guide for process improvement. Therefore, this study purposes to develop a framework for assessing R&D process based on the concept of CMMI, which is a process improvement approach that defines the essential elements of effective processes. In particular, we suggest three types of R&D process-new product development, new service creation and new technology creation-and then develop a customized framework for them. For this purpose, we firstly investigated the characteristics of R&D activities for each type of process and identify its base practices from an extensive literature review. Then, the CMMI approach was adopted and modified to suit the R&D process. Finally, an illustrative example was provided to demonstrate the assessment process and a prototype web-based assessment system was suggested. Research findings will help understand the characteristics of different types of R&D process and provide a customized guidelines for R&D process assessment and improvement.

• Proceedings of the PSK Conference
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• 2000.10a
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• pp.193.2-194
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• 2000

• 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.