• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1313-1344
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• 2018

This study aims at investigating the effects of Government R&D subsidies. We analyse the effects of inputs and behavioral additionality on the output additionality. We also measure the moderate effects of the experiences of benefiting from government R&D on the relationship between inputs and behavioral additionality and the output additionality. We conducted a structured questionnaire on the companies who have participated in promotion program of the Korea Innovation Cluster. 126 responses were collected and alnalysed using the OLS technique. Empirical results show that the relationship between input/behavioral additionality (management, follow-up, cognitive capacity) and output additionality had positive effect. The moderating effects of experiences of R&D subsidy on the relationship between input additionality and output additionality and the relationship between cognitive additionality and the output additionality appear to be statistically significant.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.71-80
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• 2014

Standard Industrial classification is a key factor of technology spillover effect. It is the result of the empirical study that is the IC(industrial classification) which influences the technology spillover effect by way of interaction term, or moderating effect combing independent variables and moderators. As relatively high technology industry is more important than the low counterpart in R&D management system. And the result of the study says that Government should support SME's considering the IC moderating effect and different subsidies which is appropriated to the SME's IC(industrial classification). This way of Government subsidy will improve the efficiency of industrial policy effect of SME's.

• Journal of Technology Innovation
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• v.21 no.2
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• pp.137-167
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• 2013

This article estimates the scale of impact of expanding governmental fiscal expenditure for R&D investment on the private business enterprise's investment for R&D, and the relationship between business enterprise and university for expanding investment of R&D. According to my results, first, an expanding fiscal expenditure from government for R&D investment leads to increase R&D investment from business enterprise. However, an expanding expenditure from university rather leads to decrease R&D investment from business enterprise. Secondly, the crowding-out effect of expanding R&D investment from University on business enterprise's is very strong, and it is affected by structural changes such as the country's economic power, fiscal stance and cyclical volatility. Third, the more governmental expenditure on university expansive is, the stronger asymmetric relationship between business enterprise and university is, and investment sources of university from business enterprise is the main factor of this relationship. Finally, it is not easy to solve out this asymmetric relationship even through the governmental subsidy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.43-46
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• 2003

Government's R ＆ D Subsidy system is difference to the agency of R ＆ D performance. Ministry of Science and Technology(MOST), Ministry of Information and Communication(MIC) have a similarity rules to grants programs by the President's order. Name is 'The Rules of the National R ＆ D Program Management'. But this rules established for the national institute, university and big enterprise., Then, This Rules difference for the Snail and Medium Enterprise(SME's). Some article is not allowed for the SME's. So, Suggestion for this question should improvement.

• Environmental and Resource Economics Review
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• v.21 no.2
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• pp.371-416
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• 2012

This study has developed Computable General Equilibrium (CGE) model reflecting endogenous growth economic theory, with the aim of analyzing double dividend hypothesis. This study analyzes possibility of economic growth and environmental improvement at the same time when government recycles the revenue of carbon tax to reduce existed taxes such as consumption tax, labor income tax, corporate tax. It also assesses the case of subsidy on R&D investment of renewable energy. With new and renewable generation technology adopted and disseminated, GDP loss would be lessened to a great degree. Tax recycling would provide economic gain by reducing distortion existed in the existing fiscal structure. The magnitude of economic gains from carbon tax recycling is biggest for recycling into corporate tax, and labor income tax, and then consumption tax in this order. It is also shown that double dividend effects occur in dynamic terms when government uses a carbon tax revenue to subsidize on R&D investment. At the end of the analysis period, emissions reduction would not result in GDP loss but in GDP gain. In particular, recycling into R&D increase would produce the largest and fastest GDP gain. Thus, implementing emissions reduction target would require careful consideration of economic effects by various policy instrument, including carbon tax.

• East Asian Economic Review
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• v.16 no.2
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• pp.139-154
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• 2012

This paper provides a theoretical setup for an analysis of strategic relationships inherent to activities of an innovative multinational enterprise (MNE) and a local company in a host country. Additionally, we explore the incentives of the host country's government to provide subsidies to attract foreign direct investment (FDI) and to protect outcomes of R&D activities conducted by the MNE. We show that the MNE's commercial interests may collide with local companies' over protection of IPRs. Therefore, the extent of knowledge spillovers from the MNE to the local company and the magnitude of incentives to the MNE perform a crucial function in determining the optimal policy mix of IPR protection and FDI subsidies of the host country's government.

• Journal of Technology Innovation
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• v.30 no.1
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• pp.57-104
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• 2022

The government has supported the innovation of private firms by intervening the market for various purposes, such as preventing market failure, alleviating information asymmetry, and allocating resources efficiently. Although the government's R&D budget increased rapidly in the 2000s, it is not clear whether the government intervention has made desirable impact on the market. To address this, the current study attempts to explore this issue by doing a systematic literature review on foreign and domestic papers in an integrated way. In total, 168 studies are analyzed using contents analysis approach and various lens, such as policy additionality, policy tools, firm size, unit of analysis, data and method, are adopted for analysis. Overlapping policy target, time lag between government intervention and policy effects, non-linearity of financial supports, interference between different polices, and out-dated R&D tax incentive system are reported as factors hampering the effect of the government intervention. Many policy prescriptions, such as program evaluation indices reflecting behavioral additionality, an introduction of policy mix and evidence-based policy using machine learning, are suggested to improve these hurdles.