• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.281-294
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• 2021

Purpose - The purpose of this study was verifying the policy effects by field of innovative growth engines, focusing on the discussion of the relationship between government support and corporate R&D activities (substitute/complementary goods), and based on the results, policy recommendations for promoting private R&D were carried out. Design/methodology/approach - Through literature research, academic/theoretical discussions about relationship between government support and corporate R&D activities were synthesized. Next, survey data were collected for companies engaged in the field of innovative growth engines and empirical analysis was conducted on the relationship between government support and R&D activities in 13 major sectors. Findings - First, as a result of analyzing all companies regardless of sector, government R&D subsidies had a positive (+) relationship with R&D activities of companies engaged in innovative growth engines, that is, a complementary relationship. Next, as a result of performing empirical analysis by dividing the 13 fields, it was found that 9 fields were complementary goods in which government support had a positive (+) effect on the R&D activities of companies. On the other hand, in the remaining four fields, the effect of government support on corporate R&D activities was not statistically significant. Research implications or Originality - In order to promote R&D activities of companies in the 9 fields where government support acts as a complementary product, it is necessary to establish policies centered on direct government support. On the other hand, it would be more desirable to seek indirect support rather than direct support in the 4 fields where government support did not have a statistically significant effect on corporate R&D activities.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.191-204
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• 2023

Purpose - The purpose of this study was to analyse the relationship between R&D tax support policy and firm innovation activity using data on firms engaged in 12 national strategic technology sectors. Design/methodology/approach - This study collected survey data from 664 companies engaged in national strategic technologies. The data were then analysed using the Propensity Score Matching (PSM) analysis. Findings - First, corporate R&D tax support had a statistically significant positive (+) relationship with firm innovation performance. Second, there was a statistically significant positive (+) relationship with incremental innovation, but there was no statistical significance with radical innovation. Third, there was a statistically significant positive (+) relationship with the firm's first innovation, but there was no statistical significance with the world's first innovation. Fourth, there was a statistically significant positive (+) relationship with the number of R&D projects of a firm. Finally, there was a statistically significant positive (+) relationship with a firm's open innovation. Research implications or Originality - First, in terms of policy effectiveness, the government needs to consider promoting R&D tax support policies in areas where R&D competition is fierce. For private companies engaged in the 12 national strategic technology fields, the R&D tax support policy is working in the direction of promoting corporate innovation activities, and this positive policy effect is likely to be effective in areas where R&D competition is fierce. Second, if the government wants to improve the quality of corporate innovation activities through R&D tax support policies, it needs to provide incentives higher than the current level.

• 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.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.47-54
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• 2022

The purpose of this study was to derive policy priorities for fostering the biopharmaceutical industry. In this study, the urgency and importance of the policy to foster the biopharmaceutical industry in Gyeonggi-do was investigated, and the priorities of the policy in the biopharmaceutical industry were analyzed through IPA analysis. As a result of the study, the top priority support tasks for the biopharmaceutical industry promotion policy were 'R&D support', 'Expert training', and 'commercialization support'. As a result of deriving policy priorities for each biopharmaceutical sector, 'R&D support' and 'Expert training' were found to be high in common, and differences in policy priorities for each industry such as cell therapy products and advanced bio-convergence products were confirmed. Also, as for the policy demand, R&D funding support, clinical trial support, and commercialization funding support were found to be high. Based on these results, the government's policy to foster the biopharmaceutical industry was supported with a focus on 'R&D support' and 'Expert training', and policy implications were drawn that customized support is needed in consideration of the characteristics of each industry field.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.847-866
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• 2015

As Korea strive to bolster their respective economies and to minimize the repercussions of the global financial crisis, policies for strengthening the innovative capabilities of small and medium enterprises have emerged as an important means for pursuing these governmental efforts. In this study, possibilities and limitations of R&D information support policy are researched empirically and implications are provided to enable evidence based policy. Futhermore, the effects of government R&D information support policy on the technological and economic performances of SMEs (small and medium enterprises) are analyzed by using survey results of SMEs technology statistics in 2014. According to the results, R&D information support program (SME R&D planning support program and technology information support program) provided to SMEs was significant for R&D investment. On the other hand, the program, did not exhibit any significant correlation to technological and economic outcomes of SME. The program was also found to have a significant correlation to SMEs' technological outcomes in the case of the specific groups of ICT technology category. I anticipate that the results of this study will serve as a guide to various policy-related issues for policymakers who are conceptualizing programs to support ICT technology-oriented SMEs, and I particularly hope that this study will provide various insights for companies and researchers in their efforts to build R&D information support program for SMEs.

• Journal of Technology Innovation
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• v.27 no.1
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• pp.1-43
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• 2019

The significance of SMEs (small and medium-sized enterprises) is gradually highlighted as we have entered the age of "New Normal." The South Korean government support these enterprises to boost economic growth and create more jobs. It also releases numerous policies such as national R&D projects and expanding tax incentive services particularly aiming at promoting dramatic investment in R&D and technological innovation. There is a sharp contrast regarding the efficiency of direct or indirect supports for encouraging R&D investment launched by SMEs depending on researchers. However, there has been little attempt to explore the optimal combination of two policy tools. Amid promoting affiliated governmental departments in charge of SMEs policies and constantly growing R&D investment, it is an appropriate time to discuss the medium and long-term direction for the optimal policy mix of direct and indirect supports. In this study, the author obtained 32 relevant studies published earlier in the domestic journals, explored literatures more systematically, and further conducted a meta-analysis. It is dedicated to summarizing relevant controversies and organizes them empirically beyond merely verifying whether policy support stimulates private R&D investment by SMEs. The meta-analysis showed that it would be effective to support as tax for large enterprises, while subsidiary support for SMEs. However, indirect support needs to be progressively increased as direct support primarily accounts for the entire R&D support for South Korean SMEs.

• International Commerce and Information Review
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• v.14 no.1
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• pp.197-218
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• 2012

Technological competitiveness of SMEs is an important factor of the country's industrial competitiveness. And technological competitiveness of SMEs in South Korea has been a long-term congestion. Through the study, we analyzed the correlation between SMEs technical support policy and technological competitiveness. As a result, the technological competitiveness of SMEs is positively related to R&D policy of funding, taxation and infrastructure. And on the other hand, R&D support policy positively effected the technological competitiveness of subcontractors, 5~49 people of small enterprises and innovation SMEs. We suggest that technology fund should be increased by expanding policy funds, investments and loans. Also, allocation of strategic R&D resources and supportive researching staffs are needed to strengthen high-growth innovative SMEs.

• STI Policy Review
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• v.9 no.1
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• pp.55-76
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• 2018

This study analyzed the effect of the government R&D subsidy program on long-term firm survival. In order to estimate the average treatment effect for the treated group, we used the survival analysis and matching method by constituting a comprehensive dataset of more than 90,000 observations. The analysis results show that the government R&D subsidy has a negative impact on long-term firm survival. In particular, not only the subsidy does not have a statistically significant effect on firm survival in the relatively short-term, the survival probability of the subsidized firms is statistically significantly lower than the non-subsidized firms after six years. These results can be seen as weakening the justification of government R&D support. There may be problems in the subsidy policy itself and the process of selection of subsidy awardees; however, the more fundamental problem is that the subsidy policy is concluded as the one-time event. Admittedly, it would be difficult for the government to precisely manage the subsidized projects over a long term period. However, in the case of a project in which short-term performance is detected, it would be necessary to provide a step-by-step support to strengthen the firm's competitiveness through further support and continuous development of performance. Of course, mid- and long-term evaluations of subsidy support policy should be performed in parallel with such phased support.

• Journal of Korea Technology Innovation Society
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• v.19 no.1
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• pp.48-79
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• 2016

Recently, to overcome the global economic recession and stimulate the sluggish economy, Korea government has adopted various policies designed to strengthen the innovative capabilities of its small or medium sized enterprises (SMEs). With our focus on ICT technology companies, this study empirically analyzes both the potentials and the limitations of the R&D information support programs which are part of these governmental efforts. Our goal is to generate insights and help develop policies based on evidence. In this study, we used statistics from 2014 on small or medium business technologies to analyze the effect that the government's R&D information support policy has had on the technological or economic performance of small or medium businesses. According to these research results, R&D support programs (assistance with R&D planning and provision of technological information) made available to small or medium businesses did have a significant correlation to technological investment. By contrast, R&D information supporting programs were found to have no direct, significant correlation to technological or economic performance. One exception was that programs that gained the benefits of R&D planning support did have a significant correlation to technological performance in the case of companies engaged in ICT research. The results of this study will provide various insights for policymakers designing policies to support technologically-driven small or medium businesses, including ICT-based companies. We anticipate that this study will be a particularly helpful guide to policy development for corporations or researchers that provide supportive information to small or medium businesses.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.259-266
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• 2021

This study is a study to systematize the R&D activities of social enterprises to derive a logical model of the R&D support policy, and aims to systematize the R&D activities based on the R&D demand survey and R&D activity analysis of social enterprises. R&D activities of social enterprises are at an early stage or are not systematic compared to general enterprises, so the process modeling method is used to group detailed activity elements to standardize and systemize them. As a result of the research, social enterprises are aware of the necessity and importance of R&D activities to secure competitiveness of products and services to increase social value, and because of their lack of R&D experience and capabilities, R&D specialized institutes (R&D planning institutes, government-funded research institutes), Universities, etc.) and are expected to improve R&D capabilities. The performance indicators of social enterprise R&D activities are derived in units of input-process-performance indicators through demand survey, activity analysis, and in-depth interview (FGI), and the logical model of R&D support policy is in the areas related to business strategy and performance.