• Journal of Technology Innovation
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• v.19 no.2
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• pp.53-76
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• 2011

This study analysed empirically the relationship between the CT R&D subsidy program and R&D performance of received company. According to the result, the CT R&D subsidy program is a significant factor to encourage R&D performance. Especially, the CT R&D subsidy program based on validity and reasonable system affects significantly the progress of R&D performance. Otherwise, the reasonable CT R&D subsidy program has a important role to play on company growing from a step of R&D to a step of the commercialisation performance. Thus, government should make an effort on researching data on market demand before implementing policy and communicating with company continually.

• The Journal of the Convergence on Culture Technology
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• v.6 no.3
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• pp.317-325
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• 2020

The purpose of this study is to examine the current status and R&D activities of disabled enterprise, and to find ways to support R&D. Through this study, the company's demand for R&D and the characteristics of companies with active R&D activities were derived, and the research and development support plan was proposed by integrating them. As a result of comparing the location quotient (LQ) of small and medium-sized businesses and disabled enterprise by industry, the number of workers with disabilities showed great specialization by business type. R&D was active in companies with sales of over 2 billion won in four industries including manufacturing. As a result of the research, R&D support for disabled enterprise needs to be supported by categorizing them into field-hardened technology-oriented and innovative technology-oriented, depending on the type of business and the size of the company.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.3
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• pp.1-16
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• 2013

The purpose of study is to promote the development of medium size enterprises(MSE) by analyzing the causal relationship between technology acquisition strategy and firms' performance. In this study, we use the number of intellectual property, sales growth rates, and return on sales as proxy variables of technological and financial performances. This study includes internal R&D investment, cooperative R&D with academy, foreign technologies transferred, and their interaction effects as the independent variables. The results of study are as follows. Frist, R&D Investment, Foreign Technologies Transferred and their interaction effects are positively influence on technological performance. Second, Cooperative R&D with academy and the interaction effects of R&D Investment and Cooperative R&D with academy are negative influence on technological performance. On the other hand, all of the main independent variables and the interaction effects have non-significant relationships with financial performances. These results imply that technological innovation efforts of MSEs do not effectively increase their financial performances. Furthermore, technological supports of government and academy on MSEs' innovation do not effectively increase their innovation outputs. Finally, this study discussed its theoretical and practical implications and the limitations of the study.

• Journal of Technology Innovation
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• v.18 no.1
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• pp.99-121
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• 2010

The goal of this paper is to analyze the effects of various firm characteristics on the probability for a firm to receive government’s financial supports for R&D. In the empirical analysis, a Probit model is estimated for the 2008 Korea Innovation Survey data. The main contribution of the paper is to investigate the distribution of R&D supports at the national level, instead of the program level. Especially, it is the first academic effort to evaluate the effects of regional and industrial variables. The results show that: (1) firm size and export increase the probability of receiving government’s R&D support; (2) variables measuring firms’ innovative ability, such as official designation as innovative firm, running R&D institute, number of R&D personnel, also have significantly positive effects; (3) firms in the chemical and automobile industries are more likely to receive R&D supports; and (4) firms in Teakyoung and Bukyoung regions are more likely to receive R&D supports.

• Journal of Technology Innovation
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• v.21 no.3
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• pp.73-94
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• 2013

The prinary cause of the decreasing SME's competitiveness in technology is the intensifying human resource shortages. The government supports a part of labor costs for SMEs as a means of policy. There are two ways of supporting labor costs for R&D personnel. One is to hire R&D personnel first then support their partial labor costs. The other is to support labor costs first for R&D personnel in national R&D programs then hire R&D personnel. This study analyzes the effectiveness of two different ways by classifying sales, no. of employees, R&D expenditure, no. of researchers, and no. of MA/Ph.D. researchers. In terms of employing researchers with MA or Ph.D., the effectiveness on employment subsidy is significantly higher than that of R&D subsidy. Its effect has been relatively high in non-metropolitan areas and manufacturing industry.

• Journal of Technology Innovation
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• v.24 no.2
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• pp.57-89
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• 2016

This paper used individual establishment level data to estimate the effects of government support for the research and development of 'small and medium enterprises'(SMEs). We analyzed, on the establishment level, the degree of technical advancement, strength of private R&D incentives, and the effect on employment levels of firms which participated in the 2010 government R&D support project. The results of this study are as follows. First, the size and frequency of government investment in the R&D of SMEs were both positively correlated with the amount of patent registrations. Furthermore, we found that the amount of patent registrations were positively correlated with the size of the establishments, but the average level of technological advancement for the firms running the research was lower than the average level of technological advancement for the firms merely participating in the project. Second, the government's R&D policy was found to be complementary to private R&D incentives, and a 1% increase in government R&D investment resulted in an inelastic increase (0.193~0.245%) of the firms' post-program R&D spending. Third, we found that R&D support from the government contributed to an increase of employment by the participating firms. Additionally, we found that the impact of R&D support on job creation varied for the firm size and technological characteristics. Therefore, it is important for governments to take into consideration each type of small business, when setting R&D policies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.121-133
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• 2020

This study aims to measure the result of R&D support projects on the beneficiary companies of the World Class 300 project, a representative domestic middle market enterprise incubation project. In particular, beneficiary companies were classified into industry groups(materials, components, equipment, modules, consumer goods) and the empirical study was conducted on how the result of R&D support project was differentiated by each industry group's characteristics. The analysis was performed on 272 companies selected as WC300 project during 2011 to 2017. The result of Panel regression Analysis confirmed that R&D support project had divergent influences on the performance (net profit) of companies depending on which industry group they belong. The samples of materials, components, equipment companies turned out not to have statistical significance. The samples of modules companies showed negative correlations, while those of consumer goods was observed to have positive correlations. This study demonstrates that it is essential to plan and implement policies suited to the characteristics of each industry groups to maximize the effect of R&D support projects henceforward.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.3
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• pp.81-95
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• 2024

This study empirically analyzed the effectiveness of government financial support policies for venture enterprises in the Daejeon region, using raw data obtained from the Small and Medium Venture Business Administration's survey results from 2016 to 2021. Daejeon, considering its economic significance, has a significant proportion of venture enterprises in its economy compared to the national average, with a focus on technological development. Conducting regression analysis yielded several key findings. Firstly, loan and guarantee support is effective for improving sales and market share, while R&D support is effective for technological development. Second, R&D and loan support have the most significant impact on sales in the fourth stage (maturity), while guarantee support is most influential in the third stage. Third, in industry analysis, the coefficients representing the effects of financial support were larger across all performance indicators compared to firm level data analysis. Based on these empirical analysis results, the study proposes several policy implications as follows. First, the government should actively provide funding support to venture companies rather than leaving investments to the capital market. Second, the methods and targets of funding support should vary according to the purpose of the support. Third, it is necessary to establish a platform that connects venture companies with private investors to commercialize developed technologies. Fourth, the funding support of venture capital for technology-intensive venture companies should be expanded.

• Management & Information Systems Review
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• v.38 no.2
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• pp.225-240
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• 2019

It has been known that health industry clusters promote economy of a nation in a macro view and make growth and development of individual firm. As a result, Korean health industry has been grown to play a role of making a high value added in Kwangkyo, Daedeok, Wonju, and Songdo. Using 156 firms locating in health industry clusters such as Kwangkyo, Daedeok, Wonju, and Songdo in increasing value added, this study investigated the structural relationships among R&D resources, R&D collaboration, policy support, and operational performance. All hypotheses, except a hypothesis for the effect R&D resources on operational performance, are reported to be statistically significant. In other words, the positive effect of R&D resources on policy support is reported. And policy support and R&D collaboration positively affect operational performance, and also the positive effect of policy support on R&D collaboration is reported. From the empirical results, we can know that policy support and R&D collaboration are the crucial factors to promote operational performance of the firms locating in Korean health industry clusters. It is important that this study has been investigated with the firms of health industry developing economy of a nation.

• International Area Studies Review
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• v.14 no.3
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• pp.290-311
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• 2010

This study aimed at exploring the primary motivations in the behavior of MNCs' setting up R&D Labs in China, four main subjective motivations were founded. R&D Labs consisted of the following four types: local market support Labs, local technology support Labs, global technology center, and internationally interdependent Labs.he choices of the R&D Lab type features are different because of the various R&D investment motivations. Provided that MNCs' investment motivations in China are in order to obtain Chinese markets and customers, local market support Labs are supposed to be chosen so as to support Chinese markets; provided that investment motivations are in order to gain talents and science and technology resources, global technology centers are supposed to be used to achieve the highest synergy result; provided that investment motivations win an absolute competitive advantage in China, local market support Labs are extremely necessary in preoccupying markets; last but not the least, provided that investment motivations are environmental owing to their instability, local technology support Labs are a good choice for their relatively low R&D expenses.